REVIEW
published: 27 October 2021
doi: 10.3389/fphar.2021.757090
Antidiabetic Medicinal Plants Used in
Democratic Republic of Congo: A
Critical Review of Ethnopharmacology
and Bioactivity Data
Félicien Mushagalusa Kasali 1,2,3*, Justin Ntokamunda Kadima 2,4, Emanuel L. Peter 1,3,5,
Andrew G. Mtewa 1,3,6, Clement Olusoji Ajayi 1,3,7, Jonans Tusiimire 3, Casim Umba Tolo 1,
Patrick Engeu Ogwang 1,3, Anke Weisheit 1 and Amon Ganafa Agaba 8
1
Pharm-Bio Technology and Traditional Medicine Center, Mbarara University of Science and Technology, Mbarara, Uganda,
Department of Pharmacy, Faculty of Pharmaceutical Sciences and Public Health, Official University of Bukavu, Bukavu,
Democratic Republic of Congo, 3Department of Pharmacy, Faculty of Medicine, Mbarara University of Science and Technology,
Mbarara, Uganda, 4Department of Pharmacology, School of Medicine and Pharmacy, University of Rwanda, Huye, Rwanda,
5
Department of Innovation, Technology Transfer and Commercialization, National Institute for Medical Research, Dar es Salaam,
Tanzania, 6Chemistry Section, Department of Applied Studies, Institute of Technology, Malawi University of Science and
Technology, Limbe, Malawi, 7Department of Pharmacognosy, Faculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Nigeria,
8
Department of Pharmacology and Therapeutics, Faculty of Medicine, Mbarara University of Science and Technology, Mbarara,
Uganda
2
Edited by:
Alessandra Durazzo,
Council for Agricultural Research and
Economics, Italy
Reviewed by:
Annah Moteetee,
University of Johannesburg, South
Africa
Roodabeh Bahramsoltani,
Tehran University of Medical
Sciences, Iran
Da-Cheng Hao,
Dalian Jiaotong University, China
Fikri-Benbrahim Kawtar,
Sidi Mohamed Ben Abdellah
University, Morocco
*Correspondence:
Félicien Mushagalusa Kasali
felicienkasali@gmail.com
Specialty section:
This article was submitted to
Ethnopharmacology,
a section of the journal
Frontiers in Pharmacology
Received: 11 August 2021
Accepted: 08 October 2021
Published: 27 October 2021
Citation:
Kasali FM, Kadima JN, Peter EL,
Mtewa AG, Ajayi CO, Tusiimire J,
Tolo CU, Ogwang PE, Weisheit A and
Agaba AG (2021) Antidiabetic
Medicinal Plants Used in Democratic
Republic of Congo: A Critical Review of
Ethnopharmacology and
Bioactivity Data.
Front. Pharmacol. 12:757090.
doi: 10.3389/fphar.2021.757090
Several studies have been conducted and published on medicinal plants used to manage
Diabetes Mellitus worldwide. It is of great interest to review available studies from a country
or a region to resort to similarities/discrepancies and data quality. Here, we examined data
related to ethnopharmacology and bioactivity of antidiabetic plants used in the Democratic
Republic of Congo. Data were extracted from Google Scholar, Medline/PubMed, Scopus,
ScienceDirect, the Wiley Online Library, Web of Science, and other documents focusing on
ethnopharmacology, pharmacology, and phytochemistry antidiabetic plants used in the
Democratic Republic of Congo from 2005 to September 2021. The Kew Botanic Royal
Garden and Plants of the World Online web databases were consulted to verify the
taxonomic information. CAMARADES checklist was used to assess the quality of animal
studies and Jadad scores for clinical trials. In total, 213 plant species belonging to 72
botanical families were reported. Only one plant, Droogmansia munamensis, is typically
native to the DRC flora; 117 species are growing in the DRC and neighboring countries; 31
species are either introduced from other regions, and 64 are not specified. Alongside the
treatment of Diabetes, about 78.13% of plants have multiple therapeutic uses, depending
on the study sites. Experimental studies explored the antidiabetic activity of 133 plants,
mainly in mice, rats, guinea pigs, and rabbits. Several chemical classes of antidiabetic
compounds isolated from 67 plant species have been documented. Rare phase II clinical
trials have been conducted. Critical issues included poor quality methodological protocols,
Abbreviations: 11ß-HSD1, 11β-hydroxysteroid dehydrogenase type 1; BG, blood glucose; DM, diabetes mellitus; DMT2,
Diabetes mellitus type 2; DPP-4, dipeptidyl peptidase-4; DRC, Democratic Republic of Congo; HIV/AIDS, human immunodeficiency virus/Acquired immunodeficiency syndrome; GLP-1, glucagon-like peptide- 1; GLUT, Glucose Transport;
HbA1c, Glycosylated hemoglobin; LD50, lethal dose 50; mRNA, Messenger ribonucleic acid; OGTT, Oral Glucose Tolerance
Test; PPAR, peroxisome proliferator-activated receptor; PTP1B, Protein tyrosine phosphatase 1B.
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Kasali et al.
Review of Congolese Antidiabetic Plants
author name incorrectly written (16.16%) or absent (14.25%) or confused with a synonym
(4.69%), family name revised (17.26%) or missing (1.10%), voucher number not available
336(92.05%), ecological information not reported (49.59%). Most plant species have been
identified and authenticated (89.32%). Hundreds of plants are used to treat Diabetes by
traditional healers in DRC. However, most plants are not exclusively native to the local flora
and have multiple therapeutic uses. The analysis showed the scarcity or absence of highquality, in-depth pharmacological studies. There is a need to conduct further studies of
locally specific species to fill the gap before their introduction into the national
pharmacopeia.
Keywords: antidiabetic plants, ethnopharmacology, phytochemicals, bioactivity, Democratic Republic of Congo
expected to double from 14 million in 2015 to 34 million by
2040. With its continuous and rapid increase in its prevalence
worldwide, it should be one of the leading causes of morbidity
and mortality in the coming years (Glezeva et al., 2017).
Recent data show about 1.7 million people suffer from DM in
the Democratic Republic of Congo (DRC), ranking fourth in the
top ten countries by diabetes cases in Africa (Zhivov et al., 2015;
Kasangana et al., 2018). Like other African countries, and not
withdrawing modern medicines, 80% of people rely on traditional
medicine to meet primary health care needs (Mahomoodally,
2013). Ethnopharmacological and pharmacological studies have
been conducted globally; however, the related data are disparate
and uncontrolled. A preliminary review reported vernacular
names, parts used, and the formulation of 70 medicinal plants
used to treat DM in DRC. A few phytoconstituents and
antidiabetic mechanisms are also mentioned (Jacques et al.,
2015).
This review aimed to describe what is known hitherto about
ethnopharmacological, pharmacological, and clinical studies
embracing medicinal plants used to manage DM in the
traditional medicine of the DRC, to highlight which plants are
native or introduced, how they are formulated and used, what
valid experimental studies have been conducted in preclinical and
clinical phases. A critical analysis is made to assess the quality of
studies carried inside DRC and resort similarities/discrepancies
with studies conducted outside.
1 INTRODUCTION
Most African traditional healers who detain ancestral heritages
are illiterate, and their knowledge transmitted verbally from
generation to generation is at risk of disappearing. To
minimize such risk, the World Health Organization (WHO)
recommends scientists carry out ethnopharmacological and
experimental studies to record folk knowledge, create
databases, and validate scientifically traditional claims from the
perspective of developing improved medications (WHO, 2013).
WHO estimates that 80% of people rely on conventional
medicine to meet primary health care needs, and most of
them use remedies from plants (Surya et al., 2014).
Ethnopharmacological surveys help gather holistic knowledge
and practices of conventional healthcare systems. Experimental
investigations evaluate efficacy and safety by developing suitable
standardized pharmaceutical dosage forms that can complement,
if not replace, current modern medicines. Medicinal plants used
as complementary/alternative medicines (CAM) to manage
various diseases provide a real opportunity in developed and
developing societies. In this sense, herbal medications appear to
offer readily available means of managing metabolic disorders by
minimizing the risk of side effects and sometimes potentiating the
treatment outcomes of modern drugs (Etxeberria et al., 2012).
Medicinal plants are also used as food and contain several healthy
dietary compounds. For example, some flavonoids interfere with
metabolic events and play a crucial role in preventing and
managing metabolic disorders through different pathways
(Farzaei et al., 2019).
One of the most explored diseases is diabetes mellitus
(DM). Over 800 plant species showing hypoglycemic
activities can be essential sources for discovering and
developing new types of antidiabetic molecules (Patel
et al., 2012). The magnitude justifies this craze that
Diabetes is gaining more and more globally, making it a
severe public health problem. Not long ago, the disease was
associated with industrialization. DM is no longer a disease of
high-income countries but a global health pandemic. In 2013,
according to the International Diabetes Federation, the global
population of adults with both type-1(DMT1) and type2(DMT2) was projected to increase from 382 million to
592 million by 2035, with DMT2 accounting for 90–95%
of cases (Glezeva et al., 2017). In Africa, the number was
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2 METHODS
2.1 Literature Search Process
The review was an Internet search on Google Scholar, Medline,
PubMed, Scopus, ScienceDirect, the Wiley Online Library, Web
of
Science,
and
other
documents
focusing
on
ethnopharmacology,
pharmacology
phytochemistry
of
antidiabetic plants used in the Democratic Republic of Congo
from 2005 to September 2021. The review was conducted
following Preferred Regulatory Items for Systematic Reviews
and Meta-Analysis (PRISMA) guidelines 2009. A total of 34
studies were included. Ethnopharmacological/Ethnobotanical/
Ethnomedicinal (n 24), preclinical bioactivity (n 9); and
one clinical trial (n 1) studies. One paper includes both an in
vivo study and an Ethnobotanical survey.
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Kasali et al.
Review of Congolese Antidiabetic Plants
FIGURE 1 | Graphical Abstract.
FIGURE 2 | Flowchart for the selection of relevant publications.
2.2 Quality Critical Assessment
welfare regulations for preclinical experiments, random
allocation to treatment or management, blinded assessment of
outcome, allocation sample size calculation, statement of
potential conflict of interests, concealment, use of cointerventions/co-morbid. We used a CAMARADES checklist
to assess the quality. Each task was given a quality score out
of a possible total of 10 points. Thus, studies were categorized into
low quality for mean score 1–5 and high quality for mean score
6–10 (Hooijmans et al., 2014; Auboire et al., 2018). The quality
assessment of clinical trials has been evaluated using the Jadad
Studies that reported ethnopharmacology, phytochemistry,
experimental pharmacology, and related clinical data were
assessed for eligibility. The Kew Botanic Royal Garden and
Plants of the World Online web databases were consulted to
verify the taxonomic information on the species mentioned. All
species names were checked at the UOB University herbarium.
The quality of animal experiments reported was evaluated by
examining the peer-reviewed publication, statement of control of
temperature, appropriate animal model, compliance with animal
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Kasali et al.
Review of Congolese Antidiabetic Plants
Masunda et al., 2019; Pathy et al., 2021); in non-specified sites
(R7) by (Moswa et al., 2005; Manzo, 2012).
3 RESULTS
3.1 Ethnopharmacological Data
Table 1 describes the names, parts, forms used, locations, and
some statistical values of plants cited. From 24 reviewed
papers, we identified 213 plant species belonging to 72
botanical families.
As shown in Figure 4, the most frequent botanical families
were Fabaceae with 44(20.66%) species, Asteraceae 10(4.69%),
Phyllanthaceae 9(4.23%), Malvaceae 8(3.76%), Solanaceae
8(3.76%), Euphorbiaceae 7(3.29%), Rubiaceae 7(3.29%),
Apocynaceae 6(2.82%), and Lamiaceae 6(2.82%). Most plants
were found at the site R5(33.66%) and R6(27.78%). The
distribution varied from study to study. Catharanthus roseus
was found in almost all locations (6/7 sites) and Allium cepa
in 5 zones. The vernacular names were linked or not to ethnic
dialects. Swahili is the most reported language 48(12.87%),
followed by Kongo 46(12.33%), Luba 36(9.65%), and Bemba
32(8.58%). In most cases, the vernacular name is not specified
47(12.60%) or not reported 8(2.14%). The formulations prepared
consisted more often of decoction 173(60.49%), maceration
31(10.84%), and infusion 29(10.14%). The leaf is the most
used part 122(39.23%), followed by roots 73(23.47%), and
stem bark 43(13.83%).
FIGURE 3 | Study sites in the Democratic Republic of Congo.
scale for reporting randomized controlled trials based on
randomization, blinding, withdrawals, and dropouts methods
(Halpern and Douglas, 2007).
2.3 Statistical Values of Plant Species
Some indexes often express the frequency of quoting for botanical
families and plant species. In the present review, the following
indexes have been used: Frequency of citation (FC Number of
times a particular species was mentioned/Total number of times
that all species were mentioned x 100); Relative Frequency of
Citation (RFC FC/N; 0<RFC<1): index, where FC is the number
of informants who mentioned the use of the species and N, is the
total number of informants (Tardío and Pardo-De-Santayana,
2008); Use Value (UV ƩU/n) where U is the number of usable
reports for a given plant species cited by each informant and n is
the total number of informants interviewed for a given plant
(Bano et al., 2014). The Relative Importance Index (RII) of each
plant species was calculated based on the normalized number of
pharmacological properties attributed to it and the normalized
number of body systems (BS) it affects (Bennett and Prance,
2000).
3.2 Pharmacological Investigations Inside
Democratic Republic of Congo
3.2.1 Preclinical Pharmacological and Toxicological
Investigations Inside Democratic Republic of Congo
Only seven plants presented in Figure 5 were exclusively studied
in experimental animals inside DRC; Albizia adianthifolia,
Azanza garckeana, Gladiolus klattianus, Panda oleosa, Raphia
gentiliana, Rauvolfia caffra, and Vitex madiensis; five studied in
DRC. It also reported the only plant species native exclusively
from DRC.
3.2.2 Preclinical Toxicological Investigations Inside
Democratic Republic of Congo
Many toxicological studies have been carried out in animals
(rodents) using plant extracts. Some studies have been
undertaken in mice, guinea pigs, and rabbits to explore the
acute toxicity of Panda oleosa. Endpoints consisted mainly of
mortality, pathophysiological syndromes, and microscopic
examination of the pancreas and other vital organs
pathological changes. The sub-chronic evaluation focused
on
assessing
biochemical,
hematological,
and
histopathological markers after a relatively long period
(14 days and sometimes 90 days). The level of exposure to
different organs, including the fetus, liver, kidney, heart, etc.,
of different doses of plant extracts was also determined. Thus,
most plant extracts produce a toxic effect in specific organs or
systems at high doses.
2.4 Study Sites
Figure
3
shows
different
locations
where
24
Ethnopharmacological/Ethnobotanical/Ethnomedicinal studies
were conducted on the DRC map. The studies were done in
Kisangani (R1) by Katemo et al. (2012), Mpiana et al. (2015); in
Beni and Lubero (R2) by (Kasika et al., 2015); in Bukavu (R3) by
(Karhagomba et al., 2013; Kasali et al., 2013, 2021; Chiribagula
et al., 2020; Manya et al., 2020); in Mbandaka, Bagdolite, and
Kungu (R4) by (Mongeke et al., 2018) ; in Lubumbashi, Kafubu,
Kasumbalesa, Kipushi, Likasi and Sambwa (R5) by (Muya et al.,
2014; Mbayo et al., 2016; Amuri et al., 2017, 2018; BashigeChiribagula et al., 2017; Mbuyi et al., 2019; Valentin et al., 2020)
(Amuri et al., 2017); in Kinshasa, Kwango and Kongo central (R6)
by (Ngbolua et al., 2016a, 2016b, 2019; Latham and Mbuta, 2017;
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TABLE 1 | Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Acanthaceae
Brillantaisia patula
T.Anderson
Muleta (Zela), Lembalemba
(Kongo),Lesongo (Swahili)
Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Justicia flava (Forssk.) Vahl
Luhe (Luba)
Sb
D
R5Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Kulamoka (Kongo), Dikanga
(Tshiluba)
Wp
D
R6 Masunda et al. (2019) and
R7 Moswa et al. (2005)
2
0.0054
0.0016
0.0008
0.029
Allium cepa L.
Itunguru (Swahili) Ditungulu
(Tshiluba)
Bk,
Sd,Ap
D,M,I
R1 Katemo et al. (2012), R3
(Kasali et al. (2013), R5 Amuri et al.
(2018); Mbuyi et al. (2019),
R6 Masunda et al. (2019), and
R7 Moswa et al. (2005)
6
0.0165
0.0047
0.0016
0.059
Allium sativum L.
Itungurusumu (Mashi), Hayi
(Tshiluba)
Bk
D,P,F
R3 Kasali et al. (2013), R5 Amuri
et al. (2018), R6 Masunda et al.,
(2019), and R7 Moswa et al.,
(2005)
4
0.0110
0.0032
0.0008
0.029
Crinum ornatum (Aiton)
Herb.
Munsele bende (Kongo)
Lf
D
R1Katemo et al. (2012)
1
0.0027
0.0008
0.0008
0.029
Anacardium occidentale L.
Nkasu, diboto (Kongo)
Lf
N
R6 Latham and Mbuta (2017)
1
0.0027
0.0008
0.0016
0.059
Mangifera indica L.
Mutshiwa mangaya (Tshiluba),
Hembe (Swahili), Mwembe (Mashi)
Sb,
Ro,Lf
D
R1 Katemo et al. (2012), R3 Kasali
et al. (2013); Chiribagula et al.
(2020), R6 Masunda et al. (2019),
and R7 Moswa et al. (2005)
5
0.0137
0.0039
0.0071
0.160
Spondias mombin L.
Mingenge (Not specified)
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Fungo (Sanga), Lufunga (Tabwa)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Annona senegalensis Pers.
Annona arenaria Thonn
(Synonym)
Kilolo (Kongo), Bomengo na esobe
(Lingala), Lobo (not specified),
Lomboloka (not specified)
Ro,
Bk,Lf
D,N
R6 Ngbolua et al. (2016b); (2019);
Latham and Mbuta (2017);
Masunda et al. (2019); Pathy et al.
(2021), and R7 (Moswa et al.
(2005)
6
0.0165
0.0047
0.0110
0.229
Monodora myristica
(Gaertn.) Dunal
Mpei (Lingala)
Fr, Sd
D
R6 Ngbolua et al. (2016a)
1
0.0027
0.0008
0.0016
0.059
Xylopia aethiopica (Dunal)
A.Rich.
Nsombo (Not specified), Nkuya
nkuya (Not specified)
Bb,Bk
D
R6 Masunda et al. (2019); Pathy
et al. (2021)
2
0.0055
0.0016
0.0047
0.151
Catharanthus roseus (L.)
G.Don
Pervanche de Madagascar
(French), Fulele (Ngwaka), Mtunda
(Swahili)
Lf, Ro
D,M,N
R1 Katemo et al. (2012),
R2 Kasika et al. (2015), R3 Kasali
et al. (2013), R5 Amuri et al.
(2018), R6 Latham and Mbuta
(2017); Masunda et al. (2019), and
R7 Moswa et al. (2005)
7
0.0192
0.0055
0.0063
0.183
Diplorhynchus
condylocarpon (Müll.Arg.)
Pichon
Mwenge (Swahili)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Amaranthaceae
Chenopodium ambrosioides
L., Dysphania ambrosioides
(L.) Mosyakin & Clemants
(Synonym)
Amaryllidaceae
Anacardiaceae
Anisophylleaceae
Anisophyllea boehmii Engl.
Annonaceae
Apocynaceae
(Continued on following page)
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TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Rauvolfia caffra Sond.
Mutalala (Bemba)
Fr, Sb
D,M,N
R5 Amuri et al. (2017), (2018)
2
0.0055
0.0016
0.0008
0.029
Rauvolfia obscura K.Schum.
Mudisi (Kbla), Kilungu (Kongo)
Lf
D
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0000
0.000
Rauvolfia vomitoria
Wennberg
Pandanganga (Luba)
Ro
D
R1 Katemo et al. (2012), R5 Amuri
et al. (2018), and R6 Masunda
et al. (2019)
3
0.0082
0.0024
0.0032
0.118
Vinca minor L.
Fololo (Lingala), Vinka nyeupe
(Swahili)
Lf, Ro
D,M
R1 Katemo et al. (2012) and
R3 Kasali et al. (2013)
2
0.0055
0.0016
0.0079
0.137
Elaeis guineensis Jacq.
Ba di ngasi (Kongo),
Ngaji(Tshiluba), Palmier à huile
(French)
Ro, Lt
D,N
R2 Kasika et al. (2015), R5 Amuri
et al. (2018), and R6 Pathy et al.
(2021)
3
0.0082
0.0024
0.0221
0.325
Raphia gentiliana De Wild.
Makeke (Not specified),
BalempâBakulu (Lingala)
Lf, Sb
M
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0008
0.029
Kapanganganga (Bemba)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0024
0.088
Mukoma wa kanyengelele (Luba)
Lf, Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Aloe congolensis De Wild. &
T.Durand
Bà di nseki (not specified)
Lf
D
R6 Pathy et al. (2021)
1
0.0027
0.0008
0.0016
0.059
Aloe vera (L.) Burm.f.
Subiri (Swahili), Kizimia Muliro
(Mashi)
Lf, Lt
M,Pr,
P
R1 Katemo et al. (2012), R3 Kasali
et al. (2013), and R5 Amuri et al.
(2018)
3
0.0082
0.0024
0.0008
0.029
Mpala kasakula (Kongo),
Lf
D
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0000
0.000
Arecaceae
Aristolochiaceae
Aristolochia hockii De Wild.
Asparagaceae
Asparagus africanus Lam.
Asphodelaceae
Asteraceae
Ageratum conyzoides L.
Artemisia absinthium L.
Kanyambuba kalume (Mashi)
Lf, Sd
D
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0024
0.088
Artemisia annua L.
Armoise annuelle (French), Sweet
Annie(English)
Lf, Sd
D
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0047
0.151
Bidens pilosa L.
Mpotayambwa (Luba), Kashisha
(Swahili) Kokoyalimo (Lokele)
Lf,
Sd, Ro
D
R1 Katemo et al. (2012), R3 Kasali
et al. (2013), and R5 Amuri et al.
(2018)
3
0.0082
0.0024
0.0055
0.206
Calendula officinalis L.
Mundudi ndudi (Not specified)
Bk
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Crassocephalum
picridifolium (DC.)
Cifula (Mashi), Bupamba
(Kibembe), Anatta (Kibembe)
Lf
D
R3 Chiribagula et al. (2020)
1
0.0027
0.0008
0.0000
0.000
Gymnanthemum coloratum
(Willd.) H.Rob. & B.Kahn
Kilulukunju (Not specified)
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Tithonia diversifolia (Hemsl.)
A.Gray.
Bilombalomba (Lélé), Mubirizi
(Mashi); Mululuca (Bembe)
Lf
M,C
R3 Kasali et al. (2013) and
R5 Amuri et al. (2018)
2
0.0055
0.0016
0.0055
0.127
Vernonia amygdalina Delile
Nyata sololo, Mukari kari (Kongo),
Mubirizi (Mashi), Mukadi kadi
(Kiyanzi), Mindudi mintenla
(Kiyombe)
Lf
D
R1 Katemo et al. (2012),
R3 Karhagomba et al. (2013);
Kasali et al. (2013), R6 Masunda
et al. (2019), and R7 Moswa et al.
(2005)
5
0.0137
0.0039
0.0095
0.249
Vernonia shirensis Oliv. &
Hiern.
Kilulukunja (Swahili)
Lf, Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0039
0.095
Nderema (Mashi), Ndelema
(Kilega), Epinard Indien (French)
Lf
D
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0016
0.033
Basellaceae
Basella alba L.
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Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Betulaceae
Betula pendula Roth
Lf
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Bignoniaceae
Kigelia africana (Lam.) Benth.
Kivungu (Luba)
Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.033
Spathodea campanulata
P.Beauv.
Cifulula, Langalanga (Mashi),
Mbalimbali (Swahili)
Sb
D
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0016
0.033
Brassica juncea (L.) Czern.
Ndunda (Kisoko), Nkofi (Kongo),
Chou vert (French)
Lf
D
R1 Katemo et al. (2012)
1
0.0027
0.0008
0.0008
0.029
Brassica oleracea L.
Chou (French), Shu (Swahili), Nkofi
nkolula (Kongo)
Lf
D,I
R1 Katemo et al. (2012), R5 Amuri
et al. (2018), and R6(Masunda
et al. (2019)
3
0.0082
0.0024
0.0024
0.088
Nanasi (Swahili) Ananas (French),
Cikaka (Tshiluba)
Fr
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Mpashi (Bemba), Mpafu (Luba)
Lf
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0024
0.062
Cactus (French)
Lf
C
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Kipawo (Sanga), Papai (Swahili),
Ipapayi (Mashi)
Lf, Fr, Ro
D,I,M
R3 Kasali et al. (2013), R5 Amuri
et al. (2018); Mbuyi et al. (2019),
and 6 Masunda et al. (2019)
4
0.0110
0.0032
0.0095
0.196
Maytenus senegalensis
(Lam.) Exell
Tshingala mutshi (Luba)
Lf, Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Salacia pynaertii De Wild
Mbondi (Not specified)
Lf
Rw
R6 Pathy et al. (2021)
1
0.0027
0.0008
0.0000
0.000
Nsudi funi (Not specified)
Lf
D
R6 Pathy et al. (2021)
1
0.0027
0.0008
0.0008
0.029
Garcinia huillensis Welw. ex
Oliv.
Mungindu (Tchokwe), Kisima (Not
specified)
Ro, Lf, Fr
D,P
R5 Amuri et al. (2018) and
R6 Pathy et al. (2021)
2
0.0055
0.0016
0.0063
0.157
Garcinia kola Heckel
Ngadiadia (Not specified)
Sd
D,N
R6 Ngbolua et al. (2016b), (2019)
2
0.0055
0.0016
0.0032
0.092
Combretum celastroides
Welw. ex M.A.Lawson
Lukondambo (Luba), Mwina kyulu
(Sanga)
Lf, Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Terminalia catappa L.
Madame (Lingala), Kalanga ya
Wazungu (Swahili)
Lf
D
R1 Katemo et al. (2012)
1
0.0027
0.0008
0.0000
0.000
Terminalia chebula Retz.
Madame (Not specified)
Lf
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Terminalia mollis
M.A.Lawson
Kianga (Hemba), Tshibangu
Mutshi (Tshiluba)
Lf, Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0032
0.092
Mabongu-bongu (Kiyanzi), Bundabunda (Kongo)
Lf, Wp
D
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0000
0.000
Brassicaceae
Bromeliaceae
Ananas comosus (L.) Merr.
Burseraceae
Canarium schweinfurthii
Engl.
Cactaceae
Opuntia ficus-indica (L.) Mill.
Caricaceae
Carica papaya L.
Celastraceae
Chrysobalanaceae
Parinari capensis Harv.
Clusiaceae
Combretaceae
Commelinaceae
Palisota schweinfurthii
C.B.Clarke
(Continued on following page)
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7
October 2021 | Volume 12 | Article 757090
Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Convolvulaceae
Ipomoea mauritiana Jacq.
Not reported
Tb
D
R1 Katemo et al. (2012)
1
0.0027
0.0008
0.0000
0.000
Ipomoea spathulata Hallier f.
Mulapa (Sanga)
Lf
C
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Costus lucanusianus
J.Braun & K.Schum.
Boso boso, musanga vulu, ngo
n’keni (Kongo)
Lf
N
R6 Latham and Mbuta (2017)
0.0027
0.0008
0.0016
0.059
Costus phyllocephalus
K.Schum
Mafulungu (Kongo), Musangala
(Kimbala)
Lf
D
R6 Masunda et al. (2019) and
R7 Moswa et al. (2005)
2
0.0055
0.0016
0.0008
0.029
Cucumis sativus L.
Concombre (French)
Fr
F
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Momordica charantia L.
Lumbusu (Not specified)
Lf, Fr
D,I
R6 Masunda et al. (2019) and
R7 Manzo (2012)
2
0.0055
0.0016
0.0055
0.127
Ndao (Luba), Nsaku (Kongo)
Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0024
0.062
Mudia-ngulungu (Tshiluba)
Lf
D
R1 (Katemo et al. (2012) and
R7 Moswa et al. (2005)
2
0.0055
0.0016
0.0047
0.124
Dioscorea bulbifera L.
Nsoko ngamba, kimasoko (Not
specified)
Tb
D
R6 Pathy et al. (2021)
1
0.0027
0.0008
0.0000
0.000
Dioscorea dumetorum
(Kunth) Pax
Nsemi nsemi, ngamba (Kongo),
kiazi kikuu (Swahili)
Tb
D
R6 Latham and Mbuta (2017)
1
0.0027
0.0008
0.0000
0.000
Dioscorea praehensilis
Benth.
Bandindi (Not specified)
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Mulolo kongolo (Kyzi), Lufwa lu
ndomba (Kongo)
Ro
D
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0000
0.000
Alchornea cordifolia
(Schumach. & Thonn.)
Müll.Arg.
Ditokoto (Tshiluba) Mambunzila
(Kongo)
Ro
D,N
R2 Kasika et al. (2015),
R6 Masunda et al. (2019), and
R7 Moswa et al. (2005)
3
0.0082
0.0024
0.0063
0.183
Croton macrostachyus
Hochst. ex Delile
Mutara mutshi (Bemba)
Lf
D
R5 Mbayo et al. (2016); Amuri
et al. (2018)
2
0.0055
0.0016
0.0024
0.062
Costaceae
1
Cucurbitaceae
Cyperaceae
Cyperus alternifolius R.Br.
Dilleniaceae
Tetracera poggei Gilg
Dioscoreaceae
Ebenaceae
Diospyros heudelotii Hiern
Euphorbiaceae
Euphorbia prostrata Aiton
Kapalatonvitonvi (Bemba)
Wp
D
R5 Mbayo et al. (2016)
1
0.0027
0.0008
0.0047
0.124
Jatropha curcas L.
Mbono (Swahili), Kilembelembe
(Luba)
Lf,
Sd, Ro
D,M,P
R1 Katemo et al. (2012) and
R5 Mbayo et al. (2016); Amuri
et al. (2018)
3
0.0082
0.0024
0.0126
0.287
Maprounea africana
Müll.Arg.
Kafulumume (Bemba),
Kazembezembe (Luba)
Ro, Sb
D
R5 Mbayo et al. (2016); Amuri
et al. (2018), R6 Masunda et al.
(2019) and R7 Moswa et al. (2005)
4
0.0110
0.0032
0.0079
0.137
Ricinus communis L.
Lundimba ndimba (Luba),
Mubalika (Bemba)
Lf, Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0039
0.095
Tetrorchidium
didymostemon (Baill.) Pax &
K.Hoffm.
bosefo, didi (Kilulua)
Lf
D
R1 Mpiana et al. (2015)
1
0.0027
0.0008
0.0000
0.000
Kansengulu kandindi (Tshiluba),
Abrus (French)
Sb
P
R3 Karhagomba et al. (2013) and
R7 Moswa et al. (2005)
2
0.0055
0.0016
0.0032
0.065
Fabaceae
Abrus precatorius L.
(Continued on following page)
Frontiers in Pharmacology | www.frontiersin.org
8
October 2021 | Volume 12 | Article 757090
Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Vernacular
name
Family
Scientific
Name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Acacia karroo Hayne
Munga (Luba), Mutonge (Sanga),
Mugunga (Hemba)
Lf, Sb
D
R5Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Acacia polyacantha Willd.
Kibimbo, hibomo (hemba),
Kimungamunga (Luba), Kashia
(Swahili), Irangi (Kihavu)
Rb,Lf
D,I
R3 Chiribagula et al. (2020) and
R5 Bashige-Chiribagula et al.
(2017); Mbuyi et al. (2019)
3
0.0082
0.0024
0.0071
0.213
Afrormosia angolensis
(Baker) Harms
Mubanga (Bemba), Mubanga
kyulu (Luba)
Ro,Sb
D
R5 Amuri et al. (2018); Mbuyi et al.
(2019)
2
0.0055
0.0016
0.0008
0.029
Albizia adianthifolia
(Schumach.) W.Wight
Mulu (Kongo),
Kampetanzevu(Tshiluba) Murunda
(Swahili), Kapentazovu (Bemba)
Lf, Ro
D,N
R5 Amuri et al. (2017), (2018);
Bashige-Chiribagula et al. (2017);
Mbuyi et al. (2019); Valentin et al.
(2020), R6 Latham and Mbuta
(2017); Masunda et al. (2019), and
R7 Moswa et al. (2005)
8
0.0220
0.0063
0.0055
0.154
Albizia grandibracteata
Taub.
Mushebeye (Mashi) Kahunda
(Kibembe)
Sb
D
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0024
0.088
Arachis hypogaea L.
Mwema (Bembe) Nguba (Lingala),
kalanga (Swahili)
Lf
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0024
0.088
Caesalpinia bonduc (L.)
Roxb.
Not reported
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Caesalpinia decapetala
(Roth) Alston
Lurhe (Mashi)
Lf
D
R3Kasali et al. (2013)
1
0.0027
0.0008
0.0024
0.062
Cassia alata L. Senna alata
(L.) Roxb. (Synonym)
Lukunda bajanyi (Tshiluba), Mbawmbaw (Kongo)
Lf,
Ro, Sd
D,M,N
R1 Katemo et al. (2012) and
R6 Masunda et al. (2019)
2
0.0055
0.0016
0.0024
0.088
Cassia occidentalis L.
Lukunda bajanyi (Tshiluba), Mbawmbaw (Kongo), Mushigemanjoka
(Mashi), Mujangajanga (Fuliru)
Lf,
Ro, Sd
D,M,N
R1 Katemo et al. (2012), R3 Kasali
et al. (2013); Chiribagula et al.
(2020), R5 Amuri et al. (2017),
(2018), and R7 Moswa et al.
(2005)
6
0.0165
0.0047
0.0055
0.075
Cassia petersiana Bolle
Kafunga nashya (Bemba)
Ro
M
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Cassia sieberiana DC.
Kandungandunga (Tshiluba),
Mugunga (Hemba)
Lf
D,I,N
R5 Amuri et al. (2017), (2018)
2
0.0055
0.0008
0.0000
0.000
Crotalaria spinosa Hochst.
ex Benth.
Kabalala (Sanga)
Ro, Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Cyamopsis tetragonoloba
(L.) Taub.
Not reported
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Dalbergia boehmii Taub.
Katembo mutshi (Luba), Katembo
(Sanga)
Lf, Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0039
0.095
Droogmansia munamensis
De Wild.
Mununganunga (Bemba),
Mulundeni (Lala)
Lf, Sb
D
R7 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Eminia polyadenia Hauman
-
Ro
M
R5 Muya et al. (2014)
1
0.0027
0.0008
0.0024
0.062
Entada abyssinica Steud. ex
A.Rich.
Kipungu (Sanga)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0032
0.065
Erythrina abyssinica Lam.
Kisongwa (Hemba), Katshiyitshiyi
(Luba), Kikumbu, kikumbu ki
nzambi (Kongo)
Ro,Lf,Bk
D,N
R5 Amuri et al. (2017), (2018), and
R6 Latham and Mbuta (2017);
Masunda et al. (2019)
4
0.0110
0.0032
0.0032
0.118
Erythrophleum africanum
(Benth.) Harms
Kayimbi (Tshiluba)
Lf, Sb
D,M
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Glycine max (L.) Merr.
Soja (Swahili)
Lf
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Indigofera arrecta Hochst. ex
A.Rich
Abwebwe (Kibembe), Musholotsi
(Kihavu)
Ro
C
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0016
0.059
(Continued on following page)
Frontiers in Pharmacology | www.frontiersin.org
9
October 2021 | Volume 12 | Article 757090
Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Indigofera capitata Kotschy
Nkeka za ngo (Not specified)
Wp
P
R6 Pathy et al. (2021)
1
0.0027
0.0008
0.0000
0.000
Isoberlinia tomentosa
(Harms) Craib & Stapf
Mbaru (Mashi)
Lf
D
R3 Chiribagula et al. (2020)
1
0.0027
0.0008
0.0087
0.193
Lonchocarpus katangensis
De Wild.
Chuya (Bemba)
Sb
M
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Millettia drastica Welw. ex
Baker
Mwengeti (Kongo), Nsiengieri
(Kiyanzi)
Ro
D
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0039
0.068
Millettia eetveldeana (Micheli)
Hauman
Mbwenge (Not specified)
Ro
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Millettia laurentii De Wild.
Kiboto (Not specified)
Bk
D
R6 Masunda et al. (2019); Pathy
et al. (2021)
2
0.0055
0.0016
0.0000
0.000
Mucuna poggei Taub.
Mpesa (Tshiluba)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Pentaclethra macrophylla
Benth.
Mutie nzama (Kongo), Tshengesha
(Tshiluba), Ngansi (Luba)
Sb
D
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0063
0.131
Phaseolus lunatus L.
Haricot (French), Maharagi
(Swahili)
Lf, Ro
D,I
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Phaseolus vulgaris L.
Cishimbo, mukenji (Mashi),
Madesu (Lingala)
Gp
D,Tr
R3 Kasali et al. (2013), R5 Amuri
et al. (2018), and R6 Masunda
et al. (2019); Pathy et al. (2021)
4
0.0110
0.0032
0.0024
0.088
Piliostigma thonningii
(Schumach.) Milne-Redh.
Kifumbe (Bemba, Luba)
Ro
M
R5Amuri et al. (2018)
1
0.0027
0.0008
0.0032
0.092
Pterocarpus angolensis DC.
Mukundambazu (Tabwa),
Muyanga (Bemba), Sokosoko (Not
specified)
Sb,Bk
D,P
R5 Amuri et al. (2018) and
R6 Masunda et al. (2019); Pathy
et al. (2021)
3
0.0082
0.0024
0.0039
0.095
Pterocarpus marsupium
Roxb.
Nkila (Not specified)
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Pterocarpus tinctorius Welw.
Mukula (Chokwe)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Rhynchosia insignis
(O.Hoffm.) R.E.Fr.
Munkoyo (Swahili)
Ro
M
R5Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Scorodophloeus zenkeri
Harms
Kiwaya (Not specified)
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Senna timoriensis (D.C.)
H.S.Irwin & Barneby
Mapalata (Not specified)
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0008
0.029
Swartzia madagascariensis
Desv.
Munienze (Luba), Mpampi
(Tshiluba)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0039
0.147
Tephrosia vogelii Hook.f.
Uleku (Kongo), Kai-kaya (Kybe),
Bubawu (Tshiluba)
Lf
D
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0008
0.003
Trigonella foenumgraecum L.
Kiwaya (Not specified)
Lf
M
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0024
0.062
Vigna sinensis (L.) Savi ex
Hausskn.
Lukunde (kikabinda)
Lf, Ro
D,M
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Fumbwa (Lingala)
Lf
D,P
R1 Katemo et al. (2012) and
R6 Masunda et al. (2019); Pathy
et al. (2021)
3
0.0082
0.0024
0.0000
0.000
Mukuta (Tshiluba), Kadwamuko
(Mashi), Ndura (Swahili)
Lf,
Ro, Sb
D
R3 Kasali et al. (2013), R5 Amuri
et al. (2018), and R7 Moswa et al.
(2005)
3
0.0082
0.0024
0.0079
0.190
Gnetaceae
Gnetum africanum Welw
Hypericaceae
Harungana
madagascariensis Lam. ex
Poir.
(Continued on following page)
Frontiers in Pharmacology | www.frontiersin.org
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October 2021 | Volume 12 | Article 757090
Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Psorospermum
corymbiferum Hochr.
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Munkubagwa (Mashi)
Rb
M
R3 Chiribagula et al. (2020)
1
0.0027
0.0008
0.0055
0.127
Litungulu ya zamba (Not specified)
Bb
D,N
R6 Ngbolua et al. (2019)
1
0.0027
0.0008
0.0008
0.029
Iridaceae
Gladiolus gregarius Welw. Ex
Baker
Gladiolus klattianus Hutch
Kitala (Bemba), Kitokatoka (Luba)
Bk
D,M,N
R5 Amuri et al. (2017), (2018)
1
0.0027
0.0008
0.0016
0.059
Coleus kilimandschari Gürke
Mcubya (Bemba), Mutozo (Mashi),
Mulavumba (Swahili)
Lf, Ro
D,I,M
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0047
0.124
Leucas
martinicensis (Jacq.) R.Br.
Kanyamafundwe (Mashi),
Namafundo (Fuliru)
Wp
D
R3 Chiribagula et al. (2020)
1
0.0027
0.0008
0.0039
0.095
Ocimum gratissimum L.
Malumba-lumba (Luba), Dinsusunsunsu (Kongo), Kitungu (Swahili),
mayuyu (Kiyanzi), Dikondi, mazulu
(Not specified)
Lf, Ro
D,I
R6 Masunda et al. (2019); Pathy
et al. (2021), and R7 Moswa et al.
(2005); Manzo (2012)
4
0.0110
0.0032
0.0150
0.271
Ocimum minimum L.
Dinsunsu nsusu Difioti (Not
specified)
Lf
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Salvia officinalis L.
Sauge (French)
Lf
I
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0039
0.095
Vitex madiensis Oliv.
Mufutu (Luba)
Lf, Ro
D,N
R5 Amuri et al. (2017), (2018),
R6 Masunda et al. (2019), and
R7 Moswa et al. (2005)
4
0.0110
0.0032
0.0047
0.124
Ikipapai (Lamba), Avocatier
(French), Ivoka (Mashi)
Lf, Sb, Fr
D
R1 Katemo et al. (2012), R3 Kasali
et al. (2013), R5 Amuri et al.
(2018), and R6 Ngbolua et al.
(2016a); Masunda et al. (2019)
5
0.0137
0.0039
0.0047
Strychnos cocculoides
Baker.
Katongatonga (Luba), Bukoke
(Hemba), Nzanza (Bemba)
Ro,Lf
D,I
R5 Amuri et al. (2018); Valentin
et al. (2020)
2
0.0055
0.0016
0.0032
0.065
Strychnos innocua Delile.
Kakomekone (Swahili)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0024
0.062
Strychnos spinosa Lam.
Kisongole (Bemba), Nsansa
(Swahili)
Ro, Sb
D,N
R5 Amuri et al. (2017), (2018)
2
0.0055
0.0016
0.0047
0.098
Strychnos stuhlmannii Gilg.
Mubanga Kyilu (Bemba), Nkanga
kyulu (Zela)
Ro
D
R5 Amuri et al. (2018); Valentin
et al. (2020)
2
0.0055
0.0016
0.0016
0.059
Not reported
Fw
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Adansonia digitata L.
Mululu punga (Bemba)
Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Azanza garckeana (F. Hoffm.)
Excell & Hillc
Muti ya makamashi (Swahili)
Lf, Sb
D,I,N
R5 Amuri et al. (2017), (2018)
2
0.0055
0.0016
0.0016
0.059
Cola acuminata (P. Beauv.)
Schott & Endl.
Makasu (Not specified)
Lf, Sd
D,N
R6 Masunda et al. (2019);
Ngbolua et al. (2019)
2
0.0055
0.0016
0.0008
0.029
Cola nitida (Vent.) Schott &
Endl.
Mapio (Bambenga)
Fr
N
R4 Mongeke et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Grewia flava DC.
Bungwe (Luba)
Lf, Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Hibiscus esculentus L.,
Abelmoschus esculentus (L.)
Moench (Synonym)
Dongodongo (Lingala)
Fr
D,M,P
R1 Katemo et al. (2012) and
R6 Masunda et al. (2019); Pathy
et al. (2021)
3
0.0082
0.0024
0.0016
0.033
Sida acuta Burm.f.
Mudundu (Mashi)
Sb
D,N
R2 Kasika et al. (2015) and
R3 Kasali et al. (2013)
2
0.0055
0.0016
0.0063
0.131
Lauraceae
Persea americana Mill.
Loganiaceae
Lythraceae
Punica granatum L.
Malvaceae
(Continued on following page)
Frontiers in Pharmacology | www.frontiersin.org
11
October 2021 | Volume 12 | Article 757090
Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Urena lobata L.
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Pungala (Not specified), Mpungala
(Not specified)
Lf,
Ro,Bb
D
R6 Masunda et al. (2019); Pathy
et al. (2021)
2
0.0055
0.0016
0.0000
0.000
Nime (Not specified)
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0016
0.059
Not reported
Sb
M
R1 Katemo et al. (2012)
1
0.0027
0.0008
0.0032
0.092
Nsanda (Not specified)
Lf, Bk
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Meliaceae
Azadirachta indica A.Juss
Menispermaceae
Penianthus longifolius Miers
Moraceae
Ficus benghalensis L.
Ficus exasperata Vahl
Kikuya (Kongo)
Lf
D
R1 Katemo et al. (2012)
1
0.0027
0.0008
0.0032
0.065
Ficus sycomorus L.
Mukunyu (Swahili), Tshikuyi (Luba)
Lf,
Sb, Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Moringa (Not specified), Mti maria
(Mashi), Mlongelonge (Swahili)
Lf, Fw
I,Tr,D
R3 Kasali et al. (2013) and
R6 Masunda et al. (2019); Pathy
et al. (2021)
3
0.0082
0.0024
0.0032
0.065
Bananier (French)
Bb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0032
0.092
Eucalyptus globulus Labill.
Bikalubitus (Not specified)
Lf
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0024
0.062
Psidium guajava L.
Lipela (Swahili), Ngalafua
(Tshiluba), Ngoyavi (Kongo)
Lf, Ro
D,M
R5 Amuri et al. (2018),
R6 Masunda et al. (2019), and
R7 Moswa et al. (2005)
3
0.0082
0.0024
0.0039
0.068
Syzygium cumini (L.) Skeels
Telezia (Swahili)
Fr
D
R1 Katemo et al. (2012) and R6
(Masunda et al. (2019)
2
0.0055
0.0016
0.0000
0.000
Syzygium guineense
(Willd.) DC.
Musanfwa (Bemba)
Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0032
0.092
Bougainvillé (French)
Fw
M
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Not reported
Ro
M
R5 Muya et al. (2014)
1
0.0027
0.0008
0.0024
0.062
Kulokumo (Bemba)
Ro
D
R5Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Olivier (French)
Lf
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Okali (Lingala)
Sb
D
R1 Katemo et al. (2012)
1
0.0027
0.0008
0.0008
0.029
Adenia gummifera (Harv.)
Harms
Komboponoke (Lamba), Kimboyi
(Lala)
Sb
I
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Adenia venenata Forssk.
Mafula (Luba)
Lf, Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Sesamum angolense Welw.
Kipalabwengo (Bemba)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Sesamum indicum L.
Wangila (Not specified)
Sd
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Moringaceae
Moringa oleifera Lam
Musaceae
Musa x sapientum L.
Myrtaceae
Nyctaginaceae
Bougainvillea spectabilis
Willd
Ochnaceae
Ochna schweinfurthiana
F.Hoffm.
Olacaceae
Olax obtusifolia De Wild.
Oleaceae
Olea europaea L.
Pandaceae
Panda oleosa Pierre
Passifloraceae
Pedaliaceae
(Continued on following page)
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12
October 2021 | Volume 12 | Article 757090
Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Phyllanthaceae
Antidesma membranaceum
Müll.Arg. Antidesma
meiocarpum J.Léonard
(Synonym)
Tshilumba mutshi (Tshiluba),
Mulambabwato (Bemba)
Lf, Sb
D,I
R5 Mbayo et al. (2016)
1
0.0027
0.0008
0.0024
0.062
Antidesma venosum E.Mey.
ex Tul.
Kifubia (Luba), Misengo (Kongo),
Nalushushwa (Fuliru)
Ro,
Sb,Lf
D
R3 Manya et al. (2020) and R5
(Mbayo et al., (2016); Amuri et al.
(2018)
3
0.0082
0.0024
0.0142
0.189
Bridelia ferruginea Benth
Kimwindu ki nseke (Kongo),
Kindundu (Kintandu), Kimwindu
(not specified)
Sb, Ro
D
R6 Masunda et al. (2019); Pathy
et al. (2021) and R7 Moswa et al.
(2005)
3
0.0082
0.0024
0.0118
0.232
Hymenocardia acida Tul.
Kapembe (Bemba), Lupep
(Tchokwe), Kigeti (Kongo)
Ro
D
R5 Amuri et al. (2018) and
R7 Moswa et al. (2005)
2
0.0055
0.0016
0.0063
0.157
Phyllanthus amarus
Schumach. & Thonn.
Not reported
Lf
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Phyllanthus muellerianus
(Kuntze) Exell
Mupetwalupe (Bemba),
Lulembalemba, Ludimba,
lundimba, Kajimbajimba lujimba
(Luba), Lulembalemba,
Mulembalemba (Hemba)
Lf, Ro,Fr
D,Rw
R5 Mbayo et al. (2016);
Bashige-Chiribagula et al. (2017);
Mbuyi et al. (2019)
3
0.0082
0.0024
0.0102
0.173
Phyllanthus niruri L.
Kahungahunga (Tshiluba),
Kapondo (Songye)
Wp
D
R5 Mbayo et al. (2016) and
R6 Masunda et al. (2019)
2
0.0055
0.0016
0.0079
0.163
Pseudolachnostylis
maprouneifolia Pax.
Musangati (Swahili), Musangali
(Bemba)
Lf,
Ro, Sd
D,C
R5 Mbayo et al. (2016); Amuri
et al. (2018)
2
0.0055
0.0016
0.0102
0.173
Uapaca kirkiana Müll.Arg.
Masuku (Bemba, Luba)
Sb
D
R5 Mbayo et al. (2016); Amuri
et al. (2018)
2
0.0055
0.0016
0.0079
0.163
Kapindi (Kongo), Ketshu (Luba),
Nketu (Tshiluba)
Fr
P
R3 Kasali et al. (2013) and
R7 Moswa et al. (2005)
2
0.0055
0.0016
0.0055
0.101
Cymbopogon citratus (DC.)
Stapf
Majani tshai (Swahili), Sinda
(Kongo), Citronelle (French),
Lemongrass (English)
Lf
D
R1 Katemo et al. (2012),
R3 Karhagomba et al. (2013), and
R6 Masunda et al. (2019)
3
0.0082
0.0024
0.0024
0.062
Cymbopogon densiflorus
(Steud.) Stapf
Lusangu sangu (Not specified)
Lf
I,D
R6 Latham and Mbuta (2017);
Masunda et al. (2019)
2
0.0055
0.0016
0.0071
0.160
Oryza sativa L.
Loso (Not specified)
Lf
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Zea mays L.
Muyindi (Swahili), Cigonji (Mashi)
Sp
D
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0055
0.180
Lunsambi nsambi (Not specified)
Lf,Bk
D
R6 Masunda et al. (2019); Pathy
et al. (2021)
2
0.0055
0.0016
0.0016
0.059
Faurea saligna Harv.
Mulemu (Sanga)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Protea obtusifolia Engl.
Mwinkala nikata (Tabwa)
Ro, Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Maesopsis eminii Engl.
Ndunga (Luba)
Lf, Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0024
0.088
Ziziphus mucronata Willd.
Kankona (Luba, Bemba, Sanga)
Ro, Sb
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.033
Piperaceae
Piper guineense Schumach.
& Thonn.
Poaceae
Polygalaceae
Polygala acicularis Oliv.
Proteaceae
Rhamnaceae
(Continued on following page)
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13
October 2021 | Volume 12 | Article 757090
Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Family
Scientific
Name
Vernacular
name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Rubiaceae
Crossopteryx febrifuga
(Afzel. ex G.Don) Benth.
Mutoshi (Tshiluba), Konsekonse
(Bemba), Mvala (Kongo)
Lf, Ro
D,M
R5 Amuri et al. (2018) and R7
(Moswa et al. (2005)
2
0.0055
0.0016
0.0032
0.065
Mitragyna stipulosa (DC.)
Kuntze Hallea stipulosa (DC.)
J.-F.Leroy (Synonym)
Liluku (Lingala), Tshindubula,
Mutoshi (Tshiluba), Longwa,
nlongu (Kongo),
Sb,Bk
D
R6 Latham and Mbuta (2017) and
R7 Moswa et al. (2005)
2
0.0055
0.0016
0.0008
0.029
Morinda citrifolia L.
Nsiki (Not specified)
Bk
D
R7 Manzo (2012)
1
0.0027
0.0008
0.0024
0.062
Morinda lucida Benth
Nsiki (Kongo), Indombe (Lingala),
Isuku (Swahili)
Lf, Sb
D,M
R1 Katemo et al. (2012),
R6 Masunda et al. (2019), and R7
(Moswa et al. (2005)
3
0.0082
0.0024
0.0079
0.137
Morinda morindoides (Baker)
Milne-Redh.
Kileso nkama (Kongo), Nkonga
bululu (Tshiluba), Kongo bololo
(Not specified)
Lf
D
R1 Katemo et al. (2012),
R6 Ngbolua et al. (2016b);
Masunda et al. (2019); Pathy et al.
(2021), and R7 Moswa et al.
(2005)
5
0.0137
0.0039
0.0102
0.173
Nauclea latifolia Sm.
Sarcocephalus latifolius
(Sm.) E.A.Bruce (Synonym)
Lolo kienga (Kongo), Bungondo
(Tshiluba)
Ro, Sd
D
R6 Ngbolua et al. (2016b), (2019);
Masunda et al. (2019) and
R7 Moswa et al. (2005)
4
0.0110
0.0032
0.0047
0.098
Sarcocephalus pobeguinii
Hua ex Pobég.
Kenga kimansa (Not specified)
Lf
D,N
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Citrus limon (L.) Osbeck
Citronier (French), Indimu (Mashi),
Chunghwa kali (Swahili),
Fr, Ro
D,Pr
R1 Katemo et al. (2012), R3 Kasali
et al. (2013), and R5 Amuri et al.
(2018)
3
0.0082
0.0024
0.0095
0.249
Citrus x aurantium L., Citrus
sinensis (L.)
Osbeck.(Synonym)
N’lala (Kongo), Dingama (Kongo),
Ndimu (Swahili), Lala (Kongo),
Oranger doux(French)
Lf, Ro, Fr
D,M
R5 Amuri et al. (2018), R6 Latham
and Mbuta (2017), and R7
(Moswa et al. (2005)
3
0.0082
0.0024
0.0047
0.177
Zanthoxylum chalybeum
Engl.
Mpupwe kiulu (Luba), Pupwe
(Bemba)
Lf,
Sb, Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0039
0.147
Not reported
Lf
I
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Mupeshipe (Not specified),
Munkadi nkadi (Not specified)
Lf,Ro
M,D,N
R6 Ngbolua et al. (2019); Pathy
et al. (2021)
2
0.0055
0.0016
0.0118
0.232
Physalis angulata L.
Ndimba, lumbundu (Not specified)
Wp,
Lf, Fr
D
R7Manzo (2012)
1
0.0027
0.0008
0.0047
0.124
Physalis peruviana L.
Mbuma, Mpuhuhu (Mashi),
Mbupuru (Kinande)
Lf
D
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0024
0.088
Schwenckia americana L.
Lunzila nzila, Yabala mbula, Tumpa
di nkombo (Kongo)
Wp
D
R6 Masunda et al. (2019) and R7
(Moswa et al. (2005)
2
0.0055
0.0016
0.0087
0.166
Solanum aethiopicum L.,
Solanum gilo Raddi
(Synonym), Solanum
subsessile De Wild.
(Synonym)
Nyanya (Swahili), Mutete (Luba)
Ro,Fr,
Lf, Sd
D,F
R1 Katemo et al. (2012), R5 Amuri
et al. (2018), and R6 Masunda
et al. (2019)
3
0.0082
0.0024
0.0008
0.029
Solanum americanum Mill.,
Solanum nigrum L.
(Synonym)
Makeke (Swahili), Mulunda (Mashi)
Lf
D
R1 Katemo et al. (2012) and
R3 Kasali et al. (2013)
2
0.0055
0.0016
0.0032
0.092
Solanum melongena L.
Mbolongo (Not specified)
Fr
D
R6 Masunda et al. (2019)
1
0.0027
0.0008
0.0000
0.000
Rutaceae
Santalaceae
Viscum album L.
Simaroubaceae
Quassia africana (Baill.) Baill.
Solanaceae
(Continued on following page)
Frontiers in Pharmacology | www.frontiersin.org
14
October 2021 | Volume 12 | Article 757090
Kasali et al.
Review of Congolese Antidiabetic Plants
TABLE 1 | (Continued) Ethnopharmacological specifications of plant species used to treat diabetes in DRC.
Vernacular
name
Family
Scientific
Name
Part
Form
Site
(References)
NC
FC
RFC
UV
RII
Solanum seretii De Wild.
Impwa (Bemba)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0016
0.059
Solanum tuberosum L.
Pomme de terre (French), Birai
(Swahili)
Tb
F
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0008
0.029
Ikoka (Turumbu), Liowa (Topoke)
Lf
D
R1 Katemo et al. (2012)
1
0.0027
0.0008
0.0071
0.186
Musanga cecropioides R.Br.
ex Tedlie
Nsanga (Kongo), Mulombele
(Tshiluba)
Lf
I
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0039
0.095
Myrianthus arboreus
P.Beauv.
-
Ro
D
R6 Latham and Mbuta (2017)
1
0.0027
0.0008
0.0063
0.131
Urtica dioica L.
Chachingi (Mashi)
Lf
T,I
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0039
0.147
Lantana camara L.
Mavi ya kuku (Swahili)
Lf
D,I
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0071
0.160
Lippia multiflora Moldenke
Bulukuti (Kongo), Filia m’filu filu
(Kiyombe), Bulukutu, mbulunkutu
(Kongo)
Lf
I,D,P
Latham and Mbuta (2017);
Masunda et al. (2019); Pathy et al.
(2021), and 7 Moswa et al. (2005)
4
0.0110
0.0032
0.0039
0.121
Stachytarpheta indica (L.)
Vahl
Telezia (Swahili)
Lf
D
R3 Kasali et al. (2013)
1
0.0027
0.0008
0.0008
0.029
Raisin (French)
Lf
D
R5 Amuri et al. (2018)
1
0.0027
0.0008
0.0000
0.000
Aframomum melegueta K.
Schum.
Mundongo (Lingala), Ndungu zi
nzo (Kongo)
Sd
P
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0024
0.088
Zingiber officinale Roscoe
Tangawisi (Swahili, Luba, Kongo),
Nungu zikanda (Kybe), Tangawiwi
(Lingala), Nunguzikanda (Kiyombe)
Rz
P
R7 Moswa et al. (2005)
1
0.0027
0.0008
0.0071
0.160
Mubambangoma (Swahili),
Mbambangoma (Luba)
Ro
D
R5 Amuri et al. (2018)
1
0.0027
0.0016
0.0032
0.092
Thomandersiaceae
Thomandersia hensii De
Wild. & T.Durand
Urticaceae
Verbenaceae
Vitaceae
Vitis vinifera L.
Zingiberaceae
Zygophyllaceae
Balanites aegyptiaca (L.)
Delile
Legend: The parts: Ap(aerial part); Bb(bulb); Bk(bark); Fr(fruit); Fw(flower); Gp(green pods); Lf(leaf); Lt(Latex); Ro(root); Rb(Root bark); Rz(rhizome); Sd(seed); Sb(stem bark); Sp(spathe);
Tb(tuber); and Wp(whole plant). Forms: D(decoction), I(infusion), M(maceration), T(Tincture), Tr(Trituration), N(Not specified), Pr(Pression), C(Chewing), P(Powder), Rw(Raw) Regions:
R1(Kisangani), R2(Beni and Lubero), R3(Bukavu), R4(Bagdolite and Kungu), R5(Lubumbashi, Kafubu, Kasumbalesa, Kipushi, Likasi and Sambwa), R6(Kinshasa, Kwango and Kongo
central). Quantitavive Ethnopharmacology: FC(Frequency of citation), NC(Number of citations), RFC(Relative Frequency of Citation), RII(Relative Imprtance Index), UV(Use value).
requirements, and instead, their behavior went like traditional
healers themselves.
3.2.3 Clinical Trials Inside Democratic Republic of
Congo
Data from the present study showed the lack of local clinical trials
of antidiabetic plants used to manage Diabetes in the DRC. Of
seven native herbals, only Raphia gentiliana fruit extract was
given to 25 males and 20 females, aged 18–50 years old, with
normal blood sugar levels (Mpiana et al., 2013). Thirty persons
were submitted to the fruits of R. gentiliana as food (0.14 g/kg),
while fifteen were introduced to the glucose solution (0.07 g/kg)
(standard). The glycemia was measured by spectrophotometry,
and the triangle surface area ratio method was used to calculate
the glycemic and load index. The observed values of glycemic
index and load were −3.1% and −1.36%. The approach followed
by the authors did not comply with any clinical trial
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3.3 Phytochemical Investigations
Some studies have been undertaken to explore the chemical
composition of Panda oleosa, Physalis peruviana, and Vernonia
amygdalina.
4 DISCUSSION
4.1 Ethnopharmacological Data
4.1.1 Ethnobotanical Information Reported
The analysis presented in Table 2 showed that the ecological
status was reported for 185(50.41%) plants and not for
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FIGURE 4 | Frequencies of antidiabetic plants in DRC by botanical families, parts used, formulations, and sites.
FIGURE 5 | Plants that underwent experimental pharmacology inside DRC.
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TABLE 2 | Quality analysis of ethnobotany information.
Ecological source
Ecological status reported
Ecological status not reported
Common plants to DRC and Africa
Introduced from the Americas and Europe
Exclusively native to DRC (D. munamensis)
Origin not mentioned
Voucher number reported
Voucher number not reported
%
Errors detected
%
50.41
49.59
54.93
14.55
0.47
30.05
7.95
92.05
Author name correct
Author name incorrect
Author name absent
Family name unchanged
Family name revised
Family name absent
Plant name confused with its synonym
Plant identification reported
Plant identification not reported
69.59
16.16
14.25
81.64
17.23
1.10
4.69
89.32
10.68
182(49.59%). On the other hand, plant identification was
reported in 326(89.32%) cases and not 39(10.68%).
The errors in plant authors included entirely different authors,
spelling mistakes, inappropriate use of the period, improper use
of bracket, and incomplete author name.
The origin of plants was specified in 69.95% and not in 30.05%
of species. However, 54.93% of plants with known origin were
native to Africa, 14.55% species were introduced, and
Droogmansia munamensis was the only species exclusively
native to DRC flora (“Haut-Katanga”). Concerning the data
quality, the author names of plant species were correctly
written in 69.59% of cases, not correctly registered in 16.16%,
or absent in 14.25%. Furthermore, 17.26% of plants had family
names changed, and 81.64% not changed. In few cases (n 10),
the main plant was confused with its synonym. For example,
Antidesma metacarpus (A. membranaceum), Annona
senegalensis (A. arenaria), Cassia alata (Senna alata),
Chenopodium ambrosioides (Dysphania ambrosioides), Citrus x
aurantium (C. sinensis), Hibiscus esculentus (Abelmoschus
esculentus), Mitragyna stipulosa (Hallea stipulosa), Nauclea
latifolia (Sarcocephalus latifolius), Solanum americanum (S.
nigrum), and Solanum gilo (S. aethiopicum and S. subsessile).
Most species (89.32%) from different sites were identified and
authenticated in other herbariums or laboratories of ecology, but
only a few (7.95%) had a voucher number published. This
situation implicates the responsibilities of publishers and
reviewers. Table 2 shows the quality analysis of findings
compared to data from Plants of the World Online web
(http://powo.science.kew.org)
database
and
http://
plantsoftheworldonline.org via the Royal Botanic Garden Kew
database.
nearly five dialects of the Azande language. The Pygmies are
considered to have been some of the earliest peoples to inhabit
the Congo River Basin. Their short stature characterizes them, they
are mainly hunters and gatherers, and they occupy the rainforest.
The plants are distributed within tropical and subtropical ecological
regions, flooded grasslands, moist broad-leaf forests, savannas, and
mangroves.
Swahili is the most reported language 48(12.87%), followed by
Kongo 46(12.33%), Luba 36(9.65%), Bemba 32(8.58%), Tshiluba
29(7.77%), Mashi 26(6.97%), French 21(5.63%), and Lingala
14(3.75%). After le French, which is the official language, there
are four regionally distributed national languages, including
Ciluba (Tshiluba), Kongo, Lingala, and Swahili, among 213
native languages identified in DRC. Those four languages are
used in out-group communication, in lower primary school years
(mainly in rural and semi-urban areas), cultural and religious
purposes, etc. (Kasanga, 2012).
Fabaceae was the most representative family, consistent with
other studies that showed this family is commonly found in
tropical rain and dry forests in the Americans and Africa
(Burnham and Johnson, 2004). Around 60% of the Congobasin lies in the DRC, the second-largest contiguous tract of
tropical forests globally, and the greatest extent of tropical
rainforests in Africa. It covers more than 100 million hectares
(Abernethy et al., 2016).
The leaf was the most used part 122(39.23%), followed by
roots 73(23.47%), and stem bark 43(13.83%). According to
(Moshi et al., 2012), the frequent use of leaves is associated
with ease of accessibility among the aboveground parts of
plants in natural ecosystems. The formulations prepared
consisted more often of decoction for 173(60.49%), followed
by maceration 31(10.84%) and infusion 29(10.14%). However,
in 24 cases (8.39%), the formulation has not been reported.
Decoction has often been the effective formulation of herbal
remedies as it is easy to prepare by mixing a drug with boiling
water (Mahomoodally et al., 2016).
Out of 213 plants listed, 103(33.66%) were found at site R5 and
85(27.78%) at R6. The majority of plants had local vernacular
names, except in few cases where the author did not mention the
names. For instance, Catharanthus roseus was found at almost all
locations (except site R4) and Allium cepa at five sites. However,
A. sativum, Cassia alata, C. occidentalis, Mangifera indica, Persea
americana, and Vernonia amygdalina were quoted at four
locations.
4.1.2 Ethnopharmacological Data Reported
The country is home to different ethnic groups, making it one of the
most diverse countries globally, with more than 200 other ethnic
groups speaking an estimated 213 native languages. Sometimes
referred to as the Baluba, the Luba people are the largest ethnic
group. The community is native to the Kasai, Maniema, and Katanga
regions. The Mongo people comprise several smaller constituent
groups, including the Mbole, Ekonda, Boyela, Bolia, and Nkutu. The
Kongo ethnic group is native to DRC and Angola, speaking Kongo
alongside Lingala, Kyanzi, and Kintandu. The Mangbetu ethnicity is
concentrated within the Orientale Province (Kisangani). The Zande
people reside in the tropical rainforest and the savanna and speak
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TABLE 3 | Antidiabetic plants used locally for the treatment of other various disorders.
Disorders/effect
Plants used
Abdominal pain
Afrormosia angolensis; Ageratum conyzoides; Allium sativum; Anisophyllea boehmii; Coleus kilimandschari;
Cymbopogon densiflorus; Cyperus alternifolius; Dalbergia boehmii; Nauclea latifolia; Phaseolus lunatus; Psidium
guajava; Solanum aethiopicum; Solanum seretii; Strychnos cocculoides; Strychnos spinosa; Uapaca kirkiana;
Tithonia diversifolia; Ziziphus mucronata; Zingiber officinale; Pseudolachnostylis maprouneifolia; Maprounea africana;
Acacia polyacantha
Abdominal cramps
Antidesma venosum; Cymbopogon densiflorus; Piper guineense
Abortions repeated
Musanga cecropioides; Antidesma venosum; Brillantaisia patula; Dalbergia boehmii; Schwenckia americana
Abscess
Antidesma venosum; Aloe vera; Annona senegalensis; Bidens pilosa; Chenopodium ambrosioides
Amoebiasis
Elaeis guineensis; Cassia occidentalis; Morinda lucida; Cymbopogon densiflorus; Morinda morindoides; Bridelia
ferruginea; Caesalpinia decapetala; Carica papaya; Crossopteryx febrifuga; Garcinia huillensis; Hymenocardia acida;
Garcinia kola; Harungana madagascariensis; Jatropha curcas; Justicia flava; Myrianthus arboreus; Alchornea
cordifolia; Psorospermum corymbiferum; Pentaclethra macrophylla; Strychnos cocculoides; Tetracera poggei;
Uapaca kirkiana; Tithonia diversifolia; Vinca minor; Vitex madiensis; Psidium guajava; Nauclea latifolia; Mangifera
indica; Maprounea africana
Anemia
Annona senegalensis, Isoberlinia tomentosa; Phyllanthus muellerianus; Alchornea cordifolia; Hymenocardia acida;
Ocimum gratissimum; Ficus sycomorus; Ochna schweinfurthiana; Persea americana; Piliostigma thonningii; Vitex
madiensis; Momordica charantia
Angina
Coleus kilimandschari; Isoberlinia tomentosa; Morinda lucida
Anorexia
Ananas comosus; Tithonia diversifolia; Zingiber officinale
Aphrodisiac
Albizia adianthifolia; Antidesma venosum; Phyllanthus muellerianus; Uapaca kirkiana; Zingiber officinale
Ascites
Schwenckia americana; Xylopia aethiopica
Asthenia
Tithonia diversifolia
Asthma
Antidesma membranaceum; Catharanthus roseus; Cymbopogon densiflorus; Cyperus alternifolius; Elaeis
guineensis; Lantana camara; Costus phyllocephalus; Ocimum gratissimum; Phyllanthus niruri; Schwenckia
americana; Vitex madiensis
Arthritis
Allium cepa; Phaseolus vulgaris; Zea mays
Backache
Aframomum melegueta; Chenopodium ambrosioides; Cola acuminata; Gladiolus gregarious; Nauclea latifolia;
Ocimum gratissimum; Zingiber officinale
Birth troubles
Adenia gummifera
Bleunorrhagia
Carica papaya; Citrus limon; Croton macrostachyus; Diplorhynchus condylocarpon; Ficus exasperata; Strychnos
innocua; Strychnos spinosa; Tetracera poggei; Zingiber officinale
Bronchitis
Allium cepa
Bronchopneumonia
Ocimum gratissimum; Quassia Africana; Alchornea cordifolia
Burns
Aloe vera; Brassica oleracea
Buruli ulcer
Elaeis guineensis
Cancer
Brassica oleracea; Antidesma venosum; Catharanthus roseus; Chenopodium ambrosioides; Erythrina abyssinica;
Erythrophleum africanum; Urtica dioica; Ageratum conyzoides; Aloe vera; Harungana madagascariensis; Zea mays;
Vinca minor
Cancer (prostate)
Ageratum conyzoides; Arachis hypogaea; Bidens pilosa; Sida acuta
Cataract Eye
Moringa oleifera; Thomandersia hensii; Crassocephalum picridifolium; Euphorbia prostrata
Chest pain
Schwenckia americana
Cholera
Phyllanthus muellerianus
Cold
Cymbopogon densiflorus; Lantana camara; Morinda citrifolia, Ocimum gratissimum; Tithonia diversifolia
Colitis
Ageratum conyzoides, Carica papaya; Citrus limon; Morinda morindoides; Schwenckia americana; Vinca minor;
Pseudolachnostylis maprouneifolia; Physalis peruviana; Mangifera indica
Conjunctivitis
Moringa oleifera; Mangifera indica
Constipation
Lantana camara; Ageratum conyzoides; Bridelia ferruginea; Carica papaya; Cassia occidentalis; Pentaclethra
macrophylla; Persea Americana; Phyllanthus niruri; Jatropha curcas; Artemisia annua; Leucas martinicensis; Tithonia
diversifolia; Rauvolfia vomitoria; Mangifera indica; Maprounea africana; Momordica charantia
(Continued on following page)
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TABLE 3 | (Continued) Antidiabetic plants used locally for the treatment of other various disorders.
Disorders/effect
Plants used
Convulsions
Bridelia ferruginea; Vigna sinensis
Cough
Abrus precatorius, Aframomum melegueta; Aloe vera; Artemisia annua; Bidens pilosa; Carica papaya; Catharanthus
roseus; Citrus limon; Citrus x aurantium; Coleus kilimandschari; Elaeis guineensis; Garcinia huillensis; Isoberlinia
tomentosa; Jatropha curcas; Lantana camara; Myrianthus arboreus; Piliostigma thonningii; Zanthoxylum
chalybeum; Zingiber officinale; Vitex madiensis; Piper guineense; Ocimum gratissimum; Lippia multiflora;
Crassocephalum picridifolium.
Delirium
Ageratum conyzoides
Dermatitis
Abrus precatorius; Costus phyllocephalus
Dehydration
Isoberlinia tomentosa
Diarrhea
Cassia occidentalis; Balanites aegyptiaca; Annona senegalensis; Antidesma membranaceum; Bridelia ferruginea;
Ficus exasperata; Ficus sycomorus; Isoberlinia tomentosa; Leucas martinicensis; Psorospermum corymbiferum;
Persea americana; Sida acuta; Albizia adianthifolia; Dalbergia boehmii; Psidium guajava; Quassia Africana;
Phyllanthus muellerianus; Acacia polyacantha; Antidesma venosum; Bidens pilosa; Phyllanthus niruri; Entada
abyssinica; Syzygium guineense; Terminalia mollis; Uapaca kirkiana; Momordica charantia; Zea mays; Vinca minor;
Pterocarpus angolensis; Piper guineense; Nauclea latifolia; Millettia drastica; Maytenus senegalensis
Dizziness
Vinca minor
Dysentery
Canarium schweinfurthii; Carica papaya; Droogmansia munamensis; Euphorbia prostrata; Strychnos cocculoides;
Strychnos spinosa; Thomandersia hensii; Tetracera poggei; Uapaca kirkiana; Vernonia amygdalina; Xylopia
aethiopica; Ziziphus mucronata; Psidium guajava; Pseudolachnostylis maprouneifolia
Dysmenorrhea
Aristolochia hockii; Artemisia absinthium; Carica papaya; Cassia alata; Balanites aegyptiaca; Citrus x aurantium;
Croton macrostachyus; Antidesma venosum; Justicia flava; Phyllanthus muellerianus; Salvia officinalis; Artemisia
annua; Maprounea africana
Dyspepsia
Artemisia absinthium
Dystocia
Bridelia ferruginea
Edema
Jatropha curcas; Syzygium guineense; Tetracera poggei; Urtica dioica; Zea mays
Edema of the lower extremities
Azanza garckeana
Elephantiasis
Crinum ornatum
Emphysema
Quassia Africana
Enuresis
Caesalpinia decapetala
Epilepsy
Annona senegalensis; Azanza garckeana; Costus lucanusianus; Elaeis guineensis; Lippia multiflora; Solanum
americanum
Erectile malfunction
Garcinia huillensis
Eye troubles
Maesopsis eminii
Female infertility
Ageratum conyzoides; Carica papaya; Elaeis guineensis; Musanga cecropioides; Antidesma venosum; Costus
phyllocephalus; Phyllanthus muellerianus; Hymenocardia acida; Tephrosia vogelii; Psidium guajava
Fever
Phyllanthus niruri; Alchornea cordifolia; Citrus limon; Citrus x aurantium; Cymbopogon densiflorus; Elaeis guineensis;
Gladiolus klattianus; Isoberlinia tomentosa; Lantana camara ;Morinda morindoides; Leucas martinicensis;
Myrianthus arboreus ;Ocimum gratissimum; Persea americana; Physalis angulata; Penianthus longifolius; Tetracera
poggei; Mangifera indica; Morinda citrifolia; Momordica charantia
Filariasis
Albizia grandibracteata; Tephrosia vogelii
Fractures
Ageratum conyzoides; Euphorbia prostrata; Hibiscus esculentus; Indigofera arrecta; Pentaclethra macrophylla;
Ocimum gratissimum; Sida acuta
Frigidity and narrowing of the vagina
Elaeis guineensis
Gallbladder disorders
Artemisia absinthium
Gallstone
Vernonia amygdalina
Gangrene
Strychnos stuhlmannii
Gastric hypoacidity
Artemisia annua; Caesalpinia decapetala
Gastroenteritis
Vinca minor
(Continued on following page)
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TABLE 3 | (Continued) Antidiabetic plants used locally for the treatment of other various disorders.
Disorders/effect
Plants used
Gastrointestinal disorders
Alchornea cordifolia; Ananas comosus; Annona senegalensis; Garcinia huillensis; Pseudolachnostylis
maprouneifolia; Piper guineense; Physalis angulata
Gastric ulcer
Momordica charantia
Gastritis
Cassia occidentalis; Bridelia ferruginea; Brillantaisia patula; Elaeis guineensis; Isoberlinia tomentosa; Salvia officinalis;
Sida acuta; Antidesma venosum; Jatropha curcas; Citrus limon; Myrianthus arboreus; Vernonia amygdalina; Quassia
Africana; Solanum tuberosum; Zanthoxylum chalybeum; Pseudolachnostylis maprouneifolia
Goiter ringworm
Jatropha curcas; Crassocephalum picridifolium
Gonorrhea
Quassia Africana; Albizia adianthifolia; Bridelia ferruginea; Cassia alata; Citrus x aurantium; Croton macrostachyus;
Costus lucanusianus; Gladiolus klattianus; Morinda morindoides; Spathodea campanulata; Phyllanthus niruri;
Antidesma venosum; Ricinus communis; Jatropha curcas; Crassocephalum picridifolium; Maprounea africana;
Phyllanthus muellerianus; Strychnos spinosa; Uapaca kirkiana; Pseudolachnostylis maprouneifolia.
Gout
Jatropha curcas; Garcinia kola; Phaseolus vulgaris
Headache
Ageratum conyzoides; Catharanthus roseus; Elaeis guineensis; Phyllanthus muellerianus; Ocimum gratissimum;
Artemisia annua; Mangifera indica; Schwenckia americana; Solanum seretii; Uapaca kirkiana; Vernonia amygdalina;
Vernonia shirensis; Vigna sinensis; Vinca minor; Morinda citrifolia
Helminthiasis
Phyllanthus niruri; Thomandersia hensii ; Vernonia amygdalina ; Ocimum gratissimum; Quassia africana; Sida acuta;
Morinda lucida; Morinda morindoides; Antidesma venosum
Hemorrhoids
Annona senegalensis; Bridelia ferruginea; Elaeis guineensis; Crassocephalum picridifolium; Nauclea latifolia; Quassia
africana; Alchornea cordifolia; Asparagus africanus; Canarium schweinfurthii; Isoberlinia tomentosa; Chenopodium
ambrosioides; Coleus kilimandschari; Crossopteryx febrifuga; Cyperus alternifolius; Ageratum conyzoides;
Crassocephalum picridifolium; Ficus exasperata; Hymenocardia acida; Morinda morindoides; Entada abyssinica;
Myrianthus arboreus; Ocimum gratissimum; Polygala acicularis; Gladiolus gregarius; Pentaclethra macrophylla; Sida
acuta; Phyllanthus muellerianus; Vernonia shirensis; Zingiber officinale; Pterocarpus angolensis; Monodora myristica;
Millettia drastica
Hemorrhage
Bidens pilosa; Bridelia ferruginea; Citrus limon; Opuntia ficus-indica; Vinca minor
Hepatitis
Erythrina abyssinica; Crassocephalum picridifolium; Vernonia amygdalina Aloe vera Physalis angulata; Tetracera
poggei; Urtica dioica; Mangifera indica
Hernia
Aloe congolensis, Annona senegalensis, Antidesma membranaceum; Elaeis guineensis; Erythrina abyssinica;
Grewia flava; Harungana madagascariensis; Hymenocardia acida; Morinda lucida; Musa x sapientum; Pentaclethra
macrophylla; Phyllanthus niruri; Leucas martinicensis; Quassia Africana; Schwenckia americana; Pterocarpus
angolensis; Xylopia aethiopica
Hiccup
Albizia adianthifolia
Hip pains
Zanthoxylum chalybeum
HIV/Aids
Panda oleosa
Hypertension
Allium cepa; Allium sativum; Catharanthus roseus; Citrus limon; Isoberlinia tomentosa; Leucas martinicensis;
Pentaclethra macrophylla; Anacardium occidentale; Quassia Africana; Harungana madagascariensis; Zea mays
Hypotension
Allium sativum; Acacia polyacantha; Psorospermum corymbiferum
Indigestion
Albizia adianthifolia, Anana comesus; Cassia occidentalis
Infected wounds
Ochna schweinfurthiana
Infections
Adenia gummifera; Allium sativum; Antidesma venosum; Arachis hypogaea; Cymbopogon densiflorus; Gongronema
latifolium; Morinda lucida; Nauclea latifolia; Rauvolfia caffra; Vernonia amygdalina; Zingiber officinale; Moringa oleifera
Infertility
Uapaca kirkiana; Millettia drastica; Musa x sapientum; Zanthoxylum chalybeum, Pseudolachnostylis maprouneifolia
Inflammation
Ageratum conyzoides; Raphia gentiliana; Physalis angulata; Physalis peruviana
Influenza
Chenopodium ambrosioides; Ocimum gratissimum
Insomnia
Catharanthus roseus
Intercostal (or chest) pain
Elaeis guineensis
Interruption of the menstruation without being
pregnant
Bridelia ferruginea
Intestinal worms
Allium sativum; Antidesma venosum; Bridelia ferruginea; Carica papaya; Catharanthus roseus; Chenopodium
ambrosioides; Entada abyssinica; Garcinia huillensis; Garcinia kola; Ipomoea spathulata; Jatropha curcas; Morinda
(Continued on following page)
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TABLE 3 | (Continued) Antidiabetic plants used locally for the treatment of other various disorders.
Disorders/effect
Plants used
morindoides; Penianthus longifolius; Strychnos spinosa; Syzygium guineense; Tephrosia vogelii; Vernonia shirensis;
Zingiber officinale; Musa x sapientum; Millettia drastica; Maprounea africana
Irritable bowel
Carica papaya
Jaundice
Acacia karroo; Carica papaya; Eminia polyadenia; Harungana madagascariensis; Jatropha curcas; Musanga
cecropioides; Rhynchosia insignis; Thomandersia hensii; Terminalia mollis.
Joint pain
Aloe congolensis, Annona senegalensis; Costus phyllocephalus; Morinda morindoides; Lippia multiflora
Kidney stone
Phaseolus vulgaris; Zea mays
Laryngitis
Bridelia ferruginea
Leishmaniasis
Morinda lucida
Lice
Rauvolfia vomitoria
Lumbago
Elaeis guineensis
Madness
Elaeis guineensis; Polygala acicularis
Malaria
Crossopteryx febrifuga; Alchornea cordifolia; Acacia polyacantha; Albizia adianthifolia; Antidesma venosum;
Artemisia annua; Azadirachta indica; Cassia occidentalis; Cymbopogon citratus; Catharanthus roseus; Jatropha
curcas; Lantana camara; Morinda lucida; Morinda morindoides; Citrus x aurantium; Coleus kilimandschari;
Cymbopogon densiflorus; Eucalyptus globulus; Garcinia kola; Indigofera arrecta; Musanga cecropioides; Myrianthus
arboreus; Ocimum gratissimum; Parinari capensis; Pentaclethra macrophylla; Phyllanthus niruri; Rauvolfia caffra;
Thomandersia hensii; Vernonia amygdalina; Harungana madagascariensis; Momordica charantia; Penianthus
longifolius; Vernonia shirensis; Rauvolfia vomitoria; Piliostigma thonningii; Piper guineense; Physalis angulata;
Physalis peruviana; Moringa oleifera; Monodora myristica; Eucalyptus globulus; Quassia africana
Male impotence
Elaeis guineensis; Phyllanthus muellerianus; Cassia petersiana; Citrus limon; Sida acuta; Balanites aegyptiaca; Cola
nitida; Kigelia africana; Penianthus longifolius; Schwenckia americana; Lippia multiflora; Xylopia aethiopica
Mastitis
Aloe congolensis; Ocimum gratissimum, Pterocarpus angolensis
Measles
Aristolochia hockii; Cymbopogon citratus; Costus phyllocephalus; Thomandersia hensii
Migraine
Elaeis guineensis; Ocimum gratissimum; Vinca minor
Mycosis
Cassia alata; Stachytarpheta indica
Nephritis
Zea mays
Neuralgia
Musa x sapientum
Oligospermia
Phyllanthus muellerianus
Oliguria
Maprounea africana
Oral cavity
Euphorbia prostrata
Oropharyngeal diseases
Salvia officinalis; Lantana camara
Otitis
Citrus x aurantium; Ocimum gratissimum; Crassocephalum picridifolium; Zanthoxylum chalybeum; Tephrosia vogelii
Oxytocic
Sida acuta
Pain
Quassia Africana; Phyllanthus niruri; Persea americana
Paralysis
Brassica juncea; Olax obtusifolia
Pneumonia
Acacia polyacantha; Elaeis guineensis; Psorospermum corymbiferum; Pseudolachnostylis maprouneifolia
Poisoning antidote
Isoberlinia tomentosa; Gongronema latifolium; Vernonia amygdalina; Pseudolachnostylis maprouneifolia
Poliomyelitis
Xylopia aethiopica
Premature ejaculation
Elaeis guineensis
Psychosomatic disorders
Solanum americanum
Premature delivery
Cymbopogon citratus
Prevention of tetanus
Pseudolachnostylis maprouneifolia
Pruritus
Jatropha curcas
(Continued on following page)
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TABLE 3 | (Continued) Antidiabetic plants used locally for the treatment of other various disorders.
Disorders/effect
Plants used
Rashes with itching
Abrus precatorius; Solanum americanum; Vernonia amygdalina
Rheumatism
Allium cepa; Bridelia ferruginea; Dalbergia boehmii; Elaeis guineensis; Quassia africana; Morinda morindoides;
Costus phyllocephalus; Erythrophleum africanum; Garcinia huillensis; Ocimum gratissimum; Pentaclethra
macrophylla; Harungana madagascariensis; Urtica dioica; Lantana camara; Xylopia aethiopica; Schwenckia
americana.
Scabies
Elaeis guineensis; Vernonia amygdalina; Quassia africana; Jatropha curcas
Schistosomiasis
Annona senegalensis; Balanites aegyptiaca; Citrus limon; Cymbopogon densifloru; Eminia polyadenia; Entada
abyssinica; Garcinia huillensis; Harungana madagascariensis; Hymenocardia acida; Strychnos innocua; Strychnos
spinosa; Syzygium guineense; Terminalia mollis; Vernonia shirensis; Piliostigma thonningii; Pterocarpus angolensis;
Ochna schweinfurthiana; Maytenus senegalensis; Maprounea africana
Sciatic neuralgia
Elaeis guineensis; Ocimum gratissimum; Schwenckia americana
Sickle cell disease
Adansonia digitate; Annona senegalensis; Bridelia ferruginea; Carica papaya; Coleus kilimandschari; Combretum
celastroides; Costus phyllocephalus; Cymbopogon densiflorus; Jatropha curcas; Terminalia ivorensis; Mitragyna
stipulosa; Persea americana; Thomandersia hensii; Bougainvillea spectabilis; Morinda lucida; Hymenocardia acida;
Harungana madagascariensis; Vigna sinensis; Maesopsis eminii.
Sinusitis
Erythrina abyssinica
Skin infections
Albizia grandibracteata; Allium cepa; Brassica oleracea
Skin rash
Acacia polyacantha; Tephrosia vogelii
Smallpox
Morinda morindoides
Snakebites
Thomandersia hensii ; Euphorbia prostrata; Rauvolfia caffra
Sore throat
Aframomum melegueta; Citrus limon; Euphorbia prostrata; Ficus exasperata; Piper guineense
Spasms
Acacia polyacantha; Psorospermum corymbiferum
Splenomegaly
Aloe congolensis; Annona senegalensis; Elaeis guineensis; Tithonia diversifolia
Sprain
Hibiscus esculentus
Stomach pain
Antidesma venosum; Basella alba; Crossopteryx febrifuga; Physalis angulata; Lantana camara; Phyllanthus niruri;
Citrus limon; Quassia africana; Jatropha curcas; Phyllanthus muellerianus; Ageratum conyzoides; Crassocephalum
picridifolium; Solanum americanum
Sweating
Salvia officinalis
Swollen breasts
Morinda lucida
Swollen gums
Ricinus communis
Swollen testicles
Pseudolachnostylis maprouneifolia; Ricinus communis
Syphilis
Albizia adianthifolia; Antidesma venosum; Aristolochia hockii; Asparagus africanus; Isoberlinia tomentosa;
Pseudolachnostylis maprouneifolia; Ricinus communis; Strychnos innocua; Strychnos spinose; Strychnos
stuhlmannii; Terminalia mollis; Lonchocarpus katangensis; Maprounea africana
Tachycardia
Musanga cecropioides; Thomandersia hensii
Testicular disappearance
Annona senegalensis; Elaeis guineensis
Tiredness
Costus phyllocephalus
Tooth decay
Ageratum conyzoides; Antidesma venosum; Dalbergia boehmii; Elaeis guineensis; Lonchocarpus katangensis;
Myrianthus arboreus; Phyllanthus muellerianus; Ricinus communis; Swartzia madagascariensis; Psorospermum
corymbiferum;Uapaca kirkiana; Anacardium occidentale; Pseudolachnostylis maprouneifolia; Mangifera indica;
Millettia drastica; Maprounea africana; Acacia polyacantha
Trypanosomiasis
Annona senegalensis; Morinda lucida
Tuberculosis
Abrus precatorius; Azadirachta indica; Bridelia ferruginea; Canarium schweinfurthii; Citrus limon; Eucalyptus
globulus; Hymenocardia acida; Myrianthus arboreus; Ocimum gratissimum; Chenopodium ambrosioides; Costus
phyllocephalus; Garcinia huillensis; Schwenckia americana; Rauvolfia caffra; Vernonia amygdalina; Vitex madiensis;
Rauvolfia vomitoria; Momordica charantia; Lippia multiflora
Typhoid fever
Antidesma venosum; Arachis hypogaea; Morinda morindoides
Urinary infections
Albizia grandibracteata; Alchornea cordifolia; Bidens pilosa; Eminia polyadenia; Maesopsis eminii; Mangifera indica;
Spathodea campanulata; Strychnos cocculoides; Vitex madiensis.
(Continued on following page)
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TABLE 3 | (Continued) Antidiabetic plants used locally for the treatment of other various disorders.
Disorders/effect
Plants used
Uterine bleeding
Urtica dioica
Uterine contraction
Uapaca kirkiana
Vaginal infections
Acacia karroo; Kigelia Africana; Acacia polyacantha; Salvia officinalis
Venereal diseases
Crotalaria spinosa
Verminous
Cassia sieberiana
Vitiligo
Elaeis guineensis
Vomitings
Basella alba; Cassia occidentalis; Piper guineense; Vinca minor
Weak immunity system
Allium sativum
Whitlow
Elaeis guineensis
Wounds
Morinda morindoides; Annona senegalensis; Bidens pilosa; Quassia africana; Jatropha curcas
Yellow fever
Elaeis guineensis; Harungana madagascariensis
FIGURE 6 | Illustrative sites and pathways of antidiabetic bioactivity.
Quassia africana (0.0118). Also, Balanites aegyptiaca, which is
employed to treat nine body systems, showed the highest Relative
Importance Index (32.5%), compared to Vitis vinifera (28.7%),
Zingiber officinale (27.1%), Solanum seretii (24.9%),
Thomandersia hensii (24.9%), Lippia multiflora (23.2%) and
Stachytarpheta indica (23.2%). The use-value indicators
(Table 1) are relative and susceptible to changing since, in the
methodology, many authors generally limit themselves to the
total number of participants in the studies. The lack of
information on the number of informants interviewed was
commonly observed in the reviewed studies. According to the
Declaration of Helsinki, the direct consequence is that it is no
longer possible to analyze the quantitative aspects of these studies
(The World Medical Association, 2001).
4.1.3 Validation of Ethnopharmacological Data
Studies undertook outside DRC confirmed the use of the
majority of plants cited as antidiabetic remedies. Albizia
adianthifolia was the most reported antidiabetic with eight
citations representing an RFC of 0.0063, followed by
Catharanthus roseus 7(RFC 0.0055). However, Allium
cepa, Annona senegalensis, and Cassia occidentalis were
reported six times (RFC 0.0047), followed by Mangifera
indica, Morinda morindoides, Phaseolus lunatus, and
Vernonia amygdalina with five citations (RFC 0.0039).
Comparatively, Elaeis guineensis was endorsed by 28 uses; the
(UV score of 0.0221 was the highest compared to Ocimum
gratissimum (0.0150), Antidesma membranaceum (0.0142),
Jatropha curcas (0.0126), Bridelia ferruginea (0.0118), and
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TABLE 4 | Local plants studied for antidiabetic effect in animals.
Plant
Albizia adianthifolia
Azanza garckeana
Gladiolus klattianus
Panda oleosa
Raphia gentiliana
Rauvolfia caffra
Vitex madiensis
Ecology
Form
Part
T, Fo, At
Tp/Sh, Cult, SA.
T, Cult, Sarc
Anh, Cult, Cosm
Sh, Cult, At
T, Fo, Pan
T,GSZ,Sav
D
D
M
D
M
D
D
Stem bark
Leaf
Bulb
Bark
Fruit
Root
Leaves
Animal
Guinea
Guinea
Guinea
Rabbit
Mouse
Guinea
Guinea
pig
pig
pig
pig
pig
Model
Dose
range
Quality
score
OGTT
OGTT
OGTT
OGTT
OGTT
OGTT
OGTT
500 mg/kga
500 mg/kga
500 mg/kga
25, 50 and 100 mg/kg
200 mg/kg
500 mg/kga
500 mg/kga
5/10
5/10
5/10
5/10
5/10
5/10
5/10
low
low
low
low
low
low
low
References
Amuri et al. (2017)
Amuri et al. (2017)
Amuri et al. (2017)
Muhoya et al. (2017)
Mpiana et al. (2013)
Amuri et al. (2017)
Amuri et al. (2017)
T(tree); Fo(forest); At(Afro-tropical); Tp(perennial-tree); Sh (Shrub), Cult(Cultivar); SA(South Africa); Sarc(Sarcochores); Anh(annual herb); Cosm(cosmopolitan); Pan(pantropical);
Sav(savannah); GSZ(Guinean and Zambian); D(Decoction), M(Maceration); OGTT (oral glucose tolerance test).
a
Justification of dose.
FIGURE 7 | Comparative range of LD50 for some plants.
4.2 Analysis of Pharmacological Data
Consequently, it is not possible to quantify certain vital
indexes such as the Cultural Importance Index (CII), Fidelity
Level of Citation (FL), Family Use Value, Importance Consensus
Factor (ICF), etc. It should be noted that some rare studies make
an effort to investigate these parameters, although the
information on the number of respondents remains a
challenge. One of the weaknesses of ethnopharmacological
surveys is that the respondents are often the healers
themselves and not or seldom the users. The questionnaires
do not scrutinize evidence on the number of people treated
and outcomes.
Table 3 illustrates the information gathered through the
literature for some plants that can manage Diabetes and other
comorbidities and complications. Among the plants listed as
antidiabetic, 164(76.99%) species are being used locally in the
treatment of several other diseases, mainly infections (bacterial,
parasitic, viral, fungal), gastrointestinal and abdominal disorders,
cardiac and neurological diseases, gynecological disorders, sexual
problems, wounds, dermatological, hematological and metabolic
diseases. Commonly, no one plant holds only one indication due
to the complexity of the chemical content. The data combine both
inside and outside studies.
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4.2.1 Preclinical Studies
Different strategies and pathways are used to determine the
mechanism of antidiabetic agents, as shown in Figure 6. No
study explored in-depth pharmacological mechanisms of action,
but all speculated over different modulating metabolic pathways,
including 1) Reducing food intake; 2) Reducing carbohydrate
digestion and absorption (alpha-amylase, alpha-glucosidase
inhibition); 3) Increasing glycogenesis or reducing
glycogenolysis and cholesterol synthesis; 4) Free radical
scavenging action; 5) Insulin release and pancreas β-cells
regeneration; 6) Enhancing glucose transport GLUT4
translocation; 7) dipeptidyl peptidase-4 (DPP-4) inhibition; 8)
(PPARs); 9) Insulin-mimetic activity; 10) Modulation on Krebs
cycle enzymes.
The analysis of the accurate data for all 213 plants listed
showed that most studies used rats and mice, and in a few cases,
guinea pigs and rabbits. Both streptozocin (35.55%) and alloxan
(24.64%) represented 60.19% of all in vivo reported study models.
Streptozotocin presents many advantages over alloxan, including
its longer half-life, more productive, stable, and selective to islet
beta cells, less toxic, and causing less mortality in animal models
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TABLE 5 | The interpretation of Jadad score on Clinical trials of antidiabetic plants found in DRC.
Plant used
Allium cepa
Allium sativum
Aloe vera
Balanites aegyptiaca
Carica papaya
Elaeis guineensis
Laurus nobilis
Momordica charantia
Morinda cordifolia
Moringa oleifera
Rauvolfia-Citrus
Raphia gentiliana
Salvia officinalis
Terminalia chebula
Trigonella foenum-graecum
Urtica dioica
Vernonia amygdalina
Zea mays
Zingiber officinale
a
Used
part/Preparation
Author and
year
Randomization
Blinding
Withdrawals and
dropouts
Total
Fresh pods
Pods
High molecular weight fractions
Fruits
Fermented papaya
Standardized leaf extract
Ground leaves
Fruit powder
Juice from fermented fruit puree
Leaf powder
Leaf powder
Fruits
Leave powder
Fruit aqueous extract
Seed powder
Leaf extract
Leaf juice
Maize starch
Rhizome powder
Jafarpour-Sadegh et al. (2017)
Ashraf et al. (2011)
Yagi et al. (2009)
Rashad et al. (2017)
Raffaelli et al. (2015)
Kalman et al. (2013)
Khan et al. (2009)
Kim et al. (2020)
Algenstaedt et al. (2018)
Leone et al. (2018)
Campbell-Tofte et al. (2011)
Mpiana et al. (2013) a
Kianbakht and Dabaghian, (2013)
Pingali et al. (2020)
Hadi et al. (2020)
Kianbakht et al. (2013)
Okolie et al. (2008)
Sands et al. (2009)
Shidfar et al. (2015)
2
1
0
2
0
1
1
1
0
0
1
0
1
2
2
2
2
1
1
2
2
0
2
0
2
0
1
0
2
2
0
2
2
1
2
0
0
2
1
0
0
1
0
0
0
1
0
0
1
0
1
1
1
1
0
0
0
5
3
0
5
0
3
1
3
0
2
4
0
4
5
4
5
2
1
3
Only study carried out in DRC; Score ≥ 3(Good quality); Score < 3 (Poor quality).
(Lenzen, 2008; Wang-fischer and Garyantes, 2018). The majority
of the bioactivity investigations link the antioxidant or free
radical-scavenging activity with the pathophysiology of
Diabetes. However, currently, the in vitro antioxidant model
using, for example, DPPH and the others, is not
pharmacologically relevant. It can be used as a chemical
screening tool. Only in vivo or cell-based models remain
relevant (Heinrich et al., 2020). Enzymes are a frequent
pharmacological target for establishing the mechanism of
action of new drugs. Upon in vitro studies, alpha-glucosidase
activity inhibition was the most common investigation (45.3%),
followed by inhibition of PTP1B (13.8%), alpha-amylase (9.7%),
DPP-4 (1.4%), and 11ß-HSD1 activity (1.0%). Additionally, in
cell lines studies, glucose uptake (28.0%) was to be the most
commonly used, followed by glucose uptake regulation markers
such as GLUT4 translocation and expression levels (9.7%) and
PPAR (9.6%) (Munhoz and Fröde, 2017). Some examples of
studies are given below.
Azadirachta indica aqueous leaf extract (400 mg/kg bw)
improved levels of BG, serum insulin, lipid profile, insulin
signaling molecules, and GLUT4 proteins in the tissue of
high-fat fructose-induced type-2 diabetic male rat after
30 days of treatment, compared to the control group. In
Goto-Kakizaki rats, the acetone extract of Syzygium cumini
seed was a potent inhibitor of alpha-glucosidase hydrolysis of
maltose compared to untreated control animals (Shinde et al.,
2008). Moreover, hepatic tissue demonstrated increased
PPARɣ and PPARα protein expressions (Sharma et al.,
2012). Oryza sativa extracts significantly elevated glucose
uptake, GLUT1, and GLUT4, mRNA levels (Boue et al.,
2016). Ethanol extract induced a significant gain in
GLUT4 on plasma membranes of L6-GLUT4myc muscle
cells at no cytotoxic concentrations (Kadan et al., 2013).
Choosing an experimental model is not easy and usually
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depends on many factors. Ideally, the experiments should
be carried out in several different models, considering that
none of them ultimately reflects the complexity of human
diabetes mellitus type DMT2 and that precautions should be
taken to extrapolate the findings to the clinical practice
(Arias-Díaz and Balibrea, 2007).
A. adianthifolia is also used to treat syphilis, hiccups, diarrhea,
malaria, indigestion, blueness, and an aphrodisiac. Oral
administration of 500 mg/kg of plant extract reduced
hyperglycemia by 57% in guinea pigs subject to OGTT (Amuri
et al., 2017). Albizia grandibracteata is used in filariasis and skin
and urinary tract infections. A. garckeana is used in epilepsy and
edema of the lower limbs. Oral administration of 500 mg/kg bw
aqueous extract under OGTT conditions reduced fasting blood
sugar to 36.9% compared to 49.6% of glibenclamide as the
reference medicine (Amuri et al., 2017). Certain parts of the
plant may be toxic or contain cytotoxic compounds, particularly
with gossypol for non-ruminant animals (Randel et al., 1992).
Gladiolus gregarius is used to treat hemorrhoids and back pain.
Gladiolus klattianus is used for gonorrhea and fever. Under
OGTT conditions, the aqueous extract of G. klattianus
reduced 35% of blood sugar after 60 min (Amuri et al., 2017).
Panda oleosa Pierre has been proposed for HIV/AIDS. The
aqueous extract of P. oleosa (25–100 mg/kg) significantly
reduced glucose levels in a dose-dependent manner in rabbits
under OGTT conditions (Muhoya et al., 2017). Vitex madiensis is
used in asthma, anemia, diarrhea, tuberculosis, cough, urinary
tract infections, and intestinal amebiasis. The aqueous extract of
V. madiensis (500 mg/kg bw) reduced hypoglycemia to 43%
compared to 55% obtained with glibenclamide (Amuri et al.,
2017). Raffia gentiliana is used for inflammation. Oral
administration of aqueous fruit extracts in mice under OGTT
conditions demonstrated 27 and 56% reduction after one and
2 hours (Mpiana et al., 2013).
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Review of Congolese Antidiabetic Plants
TABLE 6 | Major phytochemicals of each plant with demonstrated antidiabetic activity.
Antidiabetic compounds
Scientific Names
Abrus precatorius
Aframomum melegueta
Ageratum conyzoides
Allium cepa
Allium sativum
Aloe vera
Anacardium occidentale
Arachis hypogaea
Artemisia absinthium
Azadirachta indica
Balanites aegyptiaca
Bidens pilosa
Bougainvillea spectabilis
Brassica juncea
Brassica oleracea
Bridelia ferruginea
Caesalpinia decapetala
Calendula officinalis
Carica papaya
Cassia alata
Cassia occidentalis
Catharanthus roseus
Citrus x aurantium
Citrus limon
Cola nitida
Cucumis sativus
Cyamopsis tetragonoloba
Erythrina abyssinica
Eucalyptus globulus
Ficus exasperata
Garcinia kola
Glycine max
Harungana madagascariensis
Hibiscus esculentus
Jatropha curcas
Lantana camara
Mangifera indica
Luteolin, lupenone, 24-methylnecycloartenone, and luteolin Vadivel et al. (2011); Yonemoto et al. (2014)
Arylalkanes, 6-paradol, 6-shogaol, 6-gingerol, 6-gingeredione, a pentacyclic triterpene, oleanolic acid isolated from the fruit
Sugita et al. (2013); Mohammed et al. (2017).
Precocene II Adebayo et al. (2010), and Kaempferol Tahora et al. (2018),
Ferulic acid, alliin Tang et al. (2008), agavasaponin C Tang et al. (2008), flavonoid alliuocide G Mohamed (2008), quercetin,
sulfur compounds, alcohols, aldehydes, esters, and other chemical groups. S-methyl cystein sulfoxide, S-allyl cysteine and
diallyl thiosulfanate Kim et al. (2010), Bakhshaeshi et al. (2012), Noor et al. (2013), Cepadial D ; 1,3,11a-trihydroxy-9-(3,5,7trihydroxy-4H-1-benzopyran-4-on-2-yl)-5a-[4-(β-D-glucopyranosyloxy)-3-hydroxyphenyl]-5,6,11-hexahydro-5,6,11trioxanaphthacene-12-one ; and 1,3,11a-trihydroxy-9-(3,5,7-trihydroxy-4H-1-benzopyran-4-on-2-yl)-5a-[1,3,11atrihydroxy-5a-(3,4-dihydroxyphenyl)-5,6,11-hexahydro-5,6,11-trioxanaphthacene-12- on-9-yl]-5,6,11-hexahydro-5,6,11trioxanaphthacene-12-on Vu et al. (2020).
S-allylcysteine sulfoxide, alliin, diallyl trisulfide Liu et al. (2007); Mikaili et al. (2013), isoeruboside B, agavasaponin C, protoiso-erubisoide B, 2-Vinyl-4H-1,3-dithiin Tang et al. (2008), allicin, diallyl disulfide, diallyl sulfide, ajoene, and allyl mercaptan
Bayan et al. (2014).
Lophenol, 24-methyl-lophenol, 24-ethyl-lophenol, cycloartanol and cycloartanol Misawa et al. (2012), aloeresin A Chang
et al. (2013b), aloerisin Jong-anurakkun et al. (2008), aloe-emodin-8-O-glucoside, polysaccharides Salehi et al. (2018), aloin,
barbaloin, isobarbaloine, aloetic acid, emodin, cinnamic acid, crysophanic acidleucine, isoleucine, alanin, glucomannan,
cellulose, mannose, zinc, glucosamines Bharti et al. (2018).
Anacardic acid Tedong et al. (2010), lectin MacIel et al. (2012)
Leucocyanidin, stigmasterol Tang et al. (2008), resveratrol Gothai et al. (2016) phenolic compounds such as catechin, caffeic
acid, epicatechin, p-coumaric acid, rutin, trans-ferulic acid, isoquercitri, resveratrol, luteolin, quercetin, trans-cinnamic acid,
chrysoeriol Park et al. (2017).
α-and ß-thujones Daradka et al. (2014)
3-Deacetyl-3-cinnamoyl-azadirachtin Jalil et al. (2013), 4’-methyl-quercetin-7-O-β-D-glucuronopyranoside, 2,3hexahydroxydiphenoyl-(α/β)-D-(4)C1-glucopyranose, avicularin, castalagin, quercetin-3-O-glucoside Abdelhady et al.
(2016) sistosterol, stigmasterol, campestrol, squalene, nimbiol and others Sanni et al. (2019).
Furostanol saponins Ezzat et al. (2017), balanitin 1 and 2, diosgenin, stigmast-4-en-3-ol, pure saponins Hassanina et al.
(2018)
Cytopiloyne, 2- β -D-Glucopyranosyloxy-1-hydroxytrideca-5,7,9,11-tetrayne Chang et al. (2013a), polyynes Bartolome et al.
(2013), 3-β-D-glucopyranosyl-1-hydroxy-6(E)-tetradecene-8,10,12-triyne; 2-β-D-glucopyranosyloxy-1-hydroxy-5(E)tridecene-7,9,11-triyne Chang et al. (2013b).
Pinitol, βsitosterol, quercetin, quercetin 3-O-α-L-rhamnopyranoside Jawlal et al. (2013).
Cinnamic acid Guzman (2014), Kaempferol Gothai et al. (2016), aniline Sundowo et al. (2018)
Cinnamic acid Guzman (2014), kaempferol Gothai et al. (2016)
Epigallocatechin, epigallocatechin gallate Bakoma et al. (2018)
Apigenin-7-rhamnoside, astragalin, 6-hydroxy kaempferol, quercitrin Parveen et al. (2017)
Caffeic acid, aesculetin, quercetin and isorhamnetin Olennikov and Kashchenko (2014).
Flavonoids, alkaloids, saponin, and tannin Chang et al. (2013b)
Emodin Uwazie et al. (2020)
Flavonoids Gupta et al. (2017)
Gallic acid, chlorogenic acid, flavonoids Rianika and Robert (2007), vindoline I, vindolidine II, vindolicine III and vindolinine
Tiong et al. (2013), catharanthine, vindoline, vindolinene vinblastine, vincristine Bharti et al. (2018).
Narigin Pu et al. (2012), neohesperidin Osfor et al. (2013), Jia et al. (2015), epigallocatechin 3-gallate Chang et al. (2013b),
diosmin, hesperetin Gothai et al. (2016), p-synerphine Suntar et al. (2018), N-acyl-2-aminothiazoles fused (+)-nootkatone
Guo et al. (2020).
Diosmin, eriodictyol, naringenin, hesperetin Gothai et al. (2016)
caffein-rich Erukainure et al. (2017), caffeine and theobromine Erukainure et al. (2019).
Kaempferol Ibitoye et al. (2017)
Polyphenols-rich Gandhi et al. (2014)
Benzofurans, coumestans Nguyen et al. (2010), flavonoids Ndinteh (2018)
Euglobals, essential oils, macrocarpals Dey and Mitra (2013)
α-amyrin acetate Nnamonu et al. (2016)
Kolaviron, a biflavonoid complex Adaramoye and Adeyemi (2006)
Daidzein, genistein, glycitein, beta-Sitosterol, Soyasaponin A1-A6, soyasaponin V, stigmasterol Tang et al. (2008),
anthocyanins Nizamutdinova et al. (2009), lyceollin I-II Chang et al. (2013b), kaempferol glycoside rich fraction, kaempferol
Zang et al. (2014), stigmasterol Wang et al. (2017b), soy isoflavones (genistein, diadzein) Bharti et al. (2018).
Harunganols, kenganthranol A, harunganin, ferruginin A Johnson et al. (2015).
Polysaccharide “rhamnogalacturonan” Liu et al. (2017).
Flavonoid glycosides (rhiofolin, isoorientin, and isoquercetrin) El-baz et al. (2014)
Stearoyl glucoside of ursolic acid (urs-12-en-3β-ol-28-oic acid 3β-D-glucopyranosyl-4′- octadecanoate) Kazmi et al. (2012)
The mangiferin Cruz-Vega et al. (2009), 1,2,3,4,6 penta-O-galloyl-β-d-glucose Mohan et al. (2013); curcumin, morin Gothai
et al. (2016), gallic acid, 3,4-dihydroxy benzoic acid (Protocatechuic acid), kaempferol Ediriweera et al. (2017), flavonoids
Pan et al. (2018); 1,2,3,4,6-penta-O-galloyl-β-D-glucoside, and 1,2,3,4,6-penta-O-galloyl-α-D-glucoside Yang et al. (2020).
Momordica charantia
(Continued on following page)
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TABLE 6 | (Continued) Major phytochemicals of each plant with demonstrated antidiabetic activity.
Antidiabetic compounds
Scientific Names
Moringa oleifera
Musa x sapientum
Ocimum gratissimum
Olea europaea
Opuntia ficus-indica
Oryza sativa
Phaseolus vulgaris
Phyllanthus amarus
Phyllanthus niruri
Physalis angulata
Physalis peruviana
Psidium guajava L.
Pterocarpus marsupium
Punica granatum
Salvia officinalis
Sesamum indicum
Solanum americanum
Solanum melongena
Spondias mombin
Syzygium cumini
Terminalia chebula
Trigonella foenum-graecum
Urtica dioica
Vernonia amygdalina
Vitis vinifera
Xylopia aethiopica
Zanthoxylum chalybeum
Zea mays
Zingiber officinale
Saponins Keller et al. (2011), cucurbitane triterpenoids Harinantenaina et al. (2006), Han et al. (2018), polysaccharide Xu
et al. (2015), cucurbitane saponins Yue et al. (2017), saponins and polysaccharides Wang et al. (2019), insulin-like peptide,
charantin, alkaloid vicine Pahlavani et al. (2019), 3β,7β,25-trihydroxycucurbita-5,23(E)-dien-19-al, charantal, charantoside
XI, and 25ξ-isopropenylchole-5, 6-ene-3-O-D-glucopyranoside Shivanagoudra et al. (2019), polysaccharide-chromium (III)
complex Zhang et al. (2019), saponins and polysaccharides Wang et al. (2019), momordicinin Kulkarni et al. (2021),
Karaviloside VI and VIII Perera et al. (2021), 3β,7β,25-trihydroxycucurbita-5,23(E)-dien-19-al Noruddin et al. (2021),
yeojoosides G-H, momordicoside U, karavilagenin A, goyaglycoside d, momordicoside F1, momordicoside L,
momordicoside K, and 68 (3β,7β,23S)-3,7,23-trihydroxycucurbita-5,24-dien-19-al 7-β-D-glucopyranose Lee et al. (2021).
Isothiocyanate-rich Waterman et al. (2016), protein (Mo-LPI) Paula et al. (2017), phenolic glycosides Wang et al. (2017b), 4hydroxyphenylacetonitrite, fluoropyrazine, methyl-4-hydroxybenzoate, vanillin Hafizur et al. (2018)
Rutin Kappel et al. (2013), syringin Sundaram et al. (2014)
Chicoric acid Casanova et al. (2014)
Oleuropein, oleanolic acid Sato et al. (2007), luteolin Dekdouk et al. (2015)
Polysaccharides El-mostafa et al. (2014), polyphenols, dietary minerals, betalains, gallic acid, vanillic acid, catechins Gupta
et al. (2017), mucopolysaccharide Bharti et al. (2018)
γ-oryzanol Burlando and Cornara (2014), ferulic acid, p-coumaric Aalim et al. (2019), cyanidin 3-glucoside, and (2R,3R)taxifolin Yoon et al. (2020).
Stigmasterol Tang et al. (2008), catechin Gothai et al. (2016), flavonoids and their glucosides of delphinidin, petunidin, and
malvidin, anthocyanins, catechin, myricetin 3-O-arabinoside, epicatechin, vanillic acid, syringic acid, and O-coumaric acid
Ganesan and Xu (2017), and triacylglycerols Sutedja et al. (2020).
Oleanolic acid and ursolic acid (2:1) mixture Ali et al. (2006)
Ellagic acid and its derivatives Bharti et al. (2018)
Withangulatin-A Raju and Mamidala (2015)
Peruvioses A,B,C,D,E,F Bernal et al. (2018)
Quercetin, kaempferol, myricetin , Strictinin, isostrictinin Wang et al. (2010), pedunculagin, glycoprotein Chauhan et al.
(2010); Singab et al. (2014), and polysaccharides Zhang et al. (2016).
Phenolic-C-glycosides Mishra et al. (2013)
gallic acid Huang et al. (2005), valoneic acid dilactone Jain et al. (2012), ursolic and oleanolic Salah El Dine et al. (2014),
polyphenols Tang et al. (2018), rutin, gallic acid, nictoflorin, and tulipanin El Deeb et al. (2021).
Essential oils with 71.3% of monoterpenes Belhadj et al. (2018)
(+)-Pinoresinol Wikul et al. (2012), furofuran lignans Worawalai et al. (2016)
Amide alkaloids Silva et al. (2017)
Phenylethyl cinnamides Liu et al. (2011)
3b-olean-12-en-3-yl (9Z)-hexadec-9-enoate Fred-Jaiyesimi et al. (2009)
Gallic acid, umbelliferone, ellagic acid Perera et al. (2017), mallic acid, chlorogenic acid Bharti et al. (2018).
Chebulagic acid Huang et al. (2012); Shyni et al. (2014), hydrolyzable tannins Lee et al. (2017).
GII Puri et al. (2011), galactomannan Anwar et al. (2011), 4-hydroxyisoleucine Rangari et al. (2014); Naicker et al. (2016),
diosgenin, galactomannan, flavonoids, trigonelline Zameer et al. (2017); isonarthogenin, 22β-acetoxyolean-12-ene- 3β, 24diol, and soyasapogenol B Zhang et al. (2020).
Quercetin, quercetrin, apigenin, rutin, apigenin-7-O-glucoside Bharti et al. (2018).
Sesquiterpenes Zhao et al. (2012), monoterpenes, sobrerol Li et al. (2013b), vernoamyoside E Anh et al. (2021)
Cinnamic acid Guzman (2014), resveratrol, naringenin Gothai et al. (2016), proanthocyanidin, raisin Bharti et al. (2018).
Oleanolic acid Mohammed et al. (2021).
Chaylbemides A-C, fagaramide, skimmianine, norchelerythrine, 6-acetonyldihydrochelerythrine, and 6-hydroxy-N-methyl
decarine Ochieng et al. (2020).
Hirsutrin Kim et al. (2013), anthocyanins Hong et al. (2013), phenolics compounds Nile and Park (2014)
Gingerol Sekiya et al. (2004), aframodial, camphene, 6-shogaol Tang et al. (2008), β-bisabolol Le (2014), 6-shogaol Fajrin
et al. (2020).
Of the 213 plant species listed, 134(62.91%) underwent
experimental studies in animals or in vitro, while only 8.92%
reached the clinical trial phase. Inside DRC, only seven plants
shown in Table 4 have been studied in animals. A critical analysis
of the seven studies carried out inside DRC showed low quality
(grade 4–5). The majority (85.71%) used a single dose in
antidiabetic evaluation. However, the Panda oleosa study used
three-dose rages (25, 50, and 100 mg/kg body weight). Overall, it
is not easy to define an exact upper cut-off dose. In most cases, an
oral dose range of 100–200 mg/kg body weight for plant extracts
in vivo investigations should be considered the upper limit
(Heinrich et al., 2020). Experiments on Albizia adianthifolia,
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Azanza garckeana, Gladiolus klattianus, and Rauvolfia caffra
extracts used the highest dose (500 mg/kg bw) calculated from
the human patients of 60 kg treated with 750 ml of plant extract
(corresponding to 250 g of dried herbal material per day). Par the
way, differences in doses that normalize interspecies variation
should be taken into account (Nair and Jacob, 2016).
Temperature and humidity were not reported. The effeteness
of the treatment was based on the capacity of the extract to reduce
baseline glycemia (hypoglycemia effect) or the capacity to reduce
induced hyperglycemia; this varied between 25 and 75%,
compared to reference drugs (glibenclamide and metformin).
According to (Baker et al., 2014), over 85% of published animal
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FIGURE 8 | Some bioactive components isolated.
studies do not describe randomization or blinding, and over 95%
lack the estimation of sufficient sample size needed for detecting
actual effects.
(Katemo et al., 2018). The administration of the aqueous
extract from the bark of Ficus benghalensis suggested an LD50
> 5,000 mg/kg. In some cases, the toxic effects depended on sex,
like Alchornea cordifolia, which showed different values of LD50
in mice male compared to female animals (8,600 mg/kg in male
and 3,800 mg/kg female) (Djimeli et al., 2017). Despite low acute
toxicity, many plants exhibit some significant sub-chronic
toxicity. Caesalpinia bonduc extract showed hematological
changes after a subchronic study for 28 days at a dose up to
400 mg/kg bw in rats (Ogunlana et al., 2013). Except for the ripe
fruit, solanine and other alkaloids present in all parts of
Solanum americanum are toxic (Kuete, 2014). Aloe-emodin
(anthraquinone) from Aloe species could be mutagenic or/and
genotoxic in organs (Lynch et al., 2011). A daily and prolonged
administration (28 days) of resveratrol in Vitis vinifera
exhibited nephrotoxicity in the rat at the high dose
(3000 mg/kg bw). Extracts of Aframomum melegueta
(286–345 mg/kg bw) and Artemisia annua (300 mg/kg bw)
produced a toxic effect on the development of fetus by
4.2.2 Toxicological Data
For acute toxicity, Figure 7 shows comparative values of LD50
reported for Cola nitida, Sida acuta, Ficus sycomorus, Moringa
oleifera, Panda oleosa, Alchornea cordifolia, Morinda lucida,
Physalis peruviana, Musanga cecropioides, Vitis vinifera,
Erythrina abyssinica, Persea americana, Jatropha curcas,
Momordica charantia, and Rauwolfia caffra. Almost all plants
but Jatropha curcas are relatively non-toxic (LD50 > 500 mg/kg).
The highest value of LD50 was observed at 8,600 mg/kg bw in
rodents with an oral administration of Alchornea cordifolia. The
bark extract of Panda oleosa was practically non-toxic in guinea
pigs with an LD50 of approximately 7,892 mg/kg bw; no signs of
intoxication were observed with oral doses less than 2,000 mg/kg.
However, at doses above 6,000 mg/kg, poor mobility, poor
appetite, anuria, and death have been noted in animals
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discontinuation of first trimester pregnancies in rats
(Inegbenebor et al., 2009; Abolaji et al., 2012). Leaf methanol
extract of Jatropha curcas decreased the number of live fetuses
and increased placental weight (Teixeira et al., 2017). Bulbs’
aqueous extract of Crinum ornatum had caused significant
effects (Central Nervous System), including losing appetite,
slow movement, depression, less aggression, and lying at the
corners of the cage (Lawal and Dangoggo, 2014). Erythrina
abyssinica showed similar nervous effects in mice, significantly
decreasing motility, sedation, frequent urination, and tremors
during the first 6 h after drug administration at different doses
(Bunalema et al., 2011). Some compounds in Salvia officinalis
(Camphor, thujone, and terpene ketones) are considered the
most toxic. Their consumption is not recommended in
pregnancy and lactation because they are harmful to the
fetus and newborn (Ghorbani and Esmaeilizadeh, 2017). A
methanol extract (500 and 1,000 mg/kg/day) of Catharanthus
roseus in the subacute investigation for 14 days showed
inevitable mortality and presented some of the signs of
intoxication on the study of the liver and kidney rats (Kevin
et al., 2012). Sometimes, there are some contradictions in
findings from different authors on toxicological studies in
animals. In Cassia occidentalis, Lagarto et al. (2011) and
Mishra et al. (2018) are contradictory. The first group did
not report any toxicological signs in biochemical,
hematological, and morphological markers, while the second
group noticed some changes.
did not receive insulin showed that 3 months supplementation of
3 g of ginger (Zingiber officinale) improved glycemic indices, total
antioxidant capacity, malondialdehyde, C-reactive protein, serum
paraoxonase, dietary intake, and physical activity, measured at
the beginning and end of the study, and after 12 h fasting
compared to control groups. A randomized, placebocontrolled, parallel-group study with 42 treated patients
treated with leaf hydroethanolic extract (500 mg/8 h for
3 months) and 44 as placebo groups showed that the Salvia
officinalis leaves lowered fasting glucose and HbA1c the
baseline at the endpoint with no adverse effects reported. A
clinical trial on a juice extract from the fruit of Morinda
cordifolia (2 ml/kg bw once a day) in patients with DMT2,
after 90 days of treatment, presented a significant reduction of
morning BG in several cases, an improvement of hyperglycemia
status. In a prospective, randomized, double-blind, placebocontrolled clinical investigation, the administration of
Terminalia chebula (250 and 500 mg/kg bw, for 12 weeks) in
60 diabetic patients significantly improved the endothelial
function (reflection index) compared to placebo (−2.55 ±
1.82%, and −5.21 ± 2.41%, respectively). In an 8-weeks
randomized controlled clinical trial study of the effect of
Trigonella foenum-graecum intake seed in 50 patients with
T2DM, the plant significantly reduced fasting blood glucose. It
improved some liver and kidney function compared with control
interventions.
A randomized, double-blind, placebo-controlled clinical trial
of Urtica dioica leaf extract (500 mg/8 h, 3 months) combined
with conventional oral antihyperglycemic drugs was conducted in
46 treated patients vs 46 placebo groups. At the endpoint, the
extract significantly lowered the blood levels of fasting glucose,
2 h postprandial glucose, and HbA1c, without significant effects
on other hepatic or cardiovascular parameters, vs the placebo. All
considered these results demonstrated that nettle is safe and may
have a beneficial effect on glycemic control in patients with
advanced DMT2 needing insulin therapy. Vernonia
amygdalina elicited a significant reduction in BG levels at the
most postprandial time points and area-under-curve.
Unfortunately, many studies were carried out in poor quality
conditions, with unclear randomization methods, threats to
blinding, and lack of baseline demographics (Rios et al., 2015).
The interpretation of Jadad score on clinical trials reviewed
showed that studies conducted on A. cepa, A. sativum, B.
aegyptiaca, E. guineensis, M. charantia, R. vomitoria, S.
officinalis, U. dioica, and Z. officinale presented excellent
quality (Jadad score ≥ 3)(Hartling et al., 2011). In addition to
the effectiveness of the plant materials (extracts, isolated
compounds), clinical trials must include other vital parameters
to an antidiabetic evaluation in particular glycosylated
hemoglobin A1c (HbA1c), personal medication, insulin,
glycogen, lipid and protein profiles, and severity of adverse
effects, patient’s risk factors, ease of use, patient’s financial
situation, etc. (Chaudhury et al., 2017).
4.2.3 Clinical Trials
Data from the present study showed the lack of local clinical trials
of antidiabetic plants used to manage Diabetes in the DRC. Of
seven native herbals, only Raphia gentiliana fruit extract was
given to 25 males and 20 females, aged 18–50 years old, with
normal blood sugar levels (Mpiana et al., 2013). The approach
followed by the authors did not comply with any clinical trial
requirements, and instead, their behavior went like traditional
healers themselves.
Table 5 illustrates the assessment of the quality of clinical trials
of antidiabetic plants using the Jadad scale for reporting
randomized controlled trials based on randomization,
blinding, withdrawals, and dropout methods.
In general, out of 213 plants censored, approximately 8.92%
(n 19) have been validated by clinical evidence. These are
Allium cepa (Jafarpour-Sadegh et al., 2017), Allium sativum
(Ashraf et al., 2011), Balanites aegyptiaca (Rashad et al., 2017),
Citrus aurantium (Campbell-Tofte et al., 2011), Elaeis guineensis
(Kalman et al., 2013), Laurus nobilis (Khan et al., 2009),
Momordica charantia (Kim et al., 2020), Morinda cordifolia
(Algenstaedt et al., 2018), Moringa oleifera (Leone et al., 2018),
Rauvolfia-Citrus (Campbell-Tofte et al., 2011), Salvia officinalis
(Kianbakht and Dabaghian, 2013), Terminalia chebula (Pingali
et al., 2020), Trigonella foenum-graecum (Hadi et al., 2020);
Urtica dioica (Kianbakht et al., 2013), Vernonia amygdalina
(Okolie et al., 2008), Zea mays (Sands et al., 2009), and
Zingiber officinale (Shidfar et al., 2015).
For example, a double-blind, placebo-controlled, randomized
clinical trial conducted on 20–60 year-old DMT2 patients who
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4.3 Analysis of Phytochemical Data
Various second metabolites have been identified and isolated,
as shown in Table 6 and Figure 8. Qualitative and
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quantitative content may vary with the soil where the plants
are growing.
To illustrate, Allium cepa contains ferulic acid, alliin (Tang
et al., 2008), agavasaponin C (Tang et al., 2008), flavonoid
alliuocide G (Mohamed, 2008), quercetin, sulfur compounds,
S-methyl cystein sulfoxide, S-allyl cysteine and diallyl
thiosulfanate (Bakhshaeshi et al., 2012; Noor et al., 2013).
Allium sativum contains S-allylcysteine sulfoxide, alliin, diallyl
trisulfide (Liu et al., 2007; Mikaili et al., 2013), isoeruboside B,
agavasaponin C, proto-iso-erubisoide B, 2-Vinyl-4H-1,3-dithiin
(Tang et al., 2008), allicin, diallyl disulfide, diallyl sulfide, ajoene,
and allyl mercaptan (Bayan et al., 2014). In mangifera indica, one
found mangiferin (Cruz-Vega et al., 2009), 1,2,3,4,6 Penta-Ogalloyl-β-d-glucose (Mohan et al., 2013), curcumin, morin
(Gothai et al., 2016), gallic acid, protocatechuic acid,
kaempferol (Ediriweera et al., 2017). Catarantus has gallic
acid, chlorogenic acid (Rianika and Robert, 2007), vindoline I,
vindolidine II, vindolicine III and vindolinine (Tiong et al., 2013),
catharanthine, vindoline, vindolinene, vinblastine, vincristine
(Bharti et al., 2018). Brassica juncea (L.) Czern has cinnamic
acid (Guzman, 2014), kaempferol (Gothai et al., 2016), aniline.
Bidens pilosa has cytopiloyne, 2-β-D-Glucopyranosyloxy-1hydroxytrideca-5,7,9,11-tetrayne (Chang et al., 2013a),
polyynes (Bartolome et al., 2013), 3-β-D-glucopyranosyl-1hydroxy-6(E)-tetradecene-8,10,12-triyne;
2-β-Dglucopyranosyloxy-1-hydroxy-5(E)-tridecene-7,9,11-triyne
(Chang et al., 2013b). Caesalpinia decapetala has apigenin-7rhamnoside, astragalin, 6-hydroxy kaempferol, quercitrin
(Parveen et al., 2017). Erythrina abyssinica contains daidzein,
genistein, glycitein, beta-Sitosterol, Soyasaponin A1-A6,
soyasaponin V, stigmasterol (Tang et al., 2008), anthocyanins
(Nizamutdinova et al., 2009), lyceollin I-II (Chang et al., 2013b),
kaempferol glycoside, kaempferol (Zang et al., 2014), stigmasterol
(Wang F. et al., 2017), genistein, diadzein) (Bharti et al., 2018).
Phaseolus vulgaris contains stigmasterol (Tang et al., 2008),
catechin (Gothai et al., 2016), flavonoids and their glucosides
of delphinidin, petunidin, and malvidin, anthocyanins, catechin,
myricetin 3-O-arabinoside, epicatechin, vanillic acid, syringic
acid, and O-coumaric acid (Ganesan and Xu, 2017). Tephrosia
vogelii has galactomannan (Anwar et al., 2011), 4hydroxyisoleucine (Rangari et al., 2014; Naicker et al., 2016),
diosgenin, galactomannan, flavonoids, trigonelline (Zameer et al.,
2017). Syzygium guineense contains pinitol, β-sitosterol,
quercetin, quercetin 3-O-α-L-rhamnopyranoside (Jawlal et al.,
2013). Aframomum melegueta has 3 arylalkanes, 6-paradol, 6shogaol, 6-gingerol, 6-gingeredione, a pentacyclic triterpene,
oleanolic acid isolated from the fruit (Sugita et al., 2013;
Mohammed et al., 2017).
can inhibit in vitro PTP-1B, which lessens insulin resistance.
Vindolicine III was the most potent (Tiong et al., 2013).
Catharanthine, vindolinene, vinblastine, vincristine lower
blood sugar levels through free radical scavenging action
(Bharti et al., 2018). On the other hand, p-synephrine
increased the glucose output concentration and ameliorated
glycolysis and glycogenolysis (Suntar et al., 2018). N-trans-pcoumaroyloctopamine, N-trans-p-feruloyl-octopamine, N-transp-coumaroyltyramine, and N-trans-p-feruloyltyramine, amide
alkaloids, showed alpha-glucosidase effect and free radicals
inhibitions (Silva et al., 2017).
4.3.2 Amino Acids, Amines, and Carboxylic Acid
Derivatives
Alliin offered protection against glucose or methylglyoxalinduced glycation of superoxide dismutase (Anwar and
Younus, 2017). S-allyl cystein sulfoxide (SACS), allicin, and
garlic oil precursor stimulated in vitro insulin secretion from
beta cells isolated from normal rats (Kodera et al., 2017). It
restored erectile function in diabetic rats (Yang et al., 2013).
Unique and repeated intraperitoneal administrations of a protein
(Mo-LPI) decreased blood glucose concentration at different
times in rats. 2S, 3R,4S hydroxy isoleucine, an amino acid
considered an insulinotropic agent, possesses antidiabetic
potential by several mechanisms, including regulating glucose
metabolism, lipid profile, and uric acid (Rangari et al., 2014).
4.3.3 Carbohydrates and Sucrose Esters
Peruvioses A,B,C,D,E, and F possess antidiabetic potential by
alpha-amylase inhibition activity (Bernal et al., 2018). In the
Streptozotocin-induced
diabetic
mice
group,
rhamnogalacturonan (a polysaccharide) decreased blood
glucose level and glucose tolerance and slightly improved
blood glucose within 30 min (Liu et al., 2017). Polysaccharides
repaired the pancreatic β cells damages in a high-fat diet STZinduced type 2 diabetic mice by improvement of SOD
concentration and the reduction of MDA level and restoration
of kidney and pancreas tissues (Wang et al., 2019). Furthermore, a
water-soluble polysaccharide significantly lowered fasting blood
glucose level and improved glucose tolerance and weight loss in
alloxan-induced diabetic mice compared to the diabetic control
group (Xu et al., 2015).
4.3.4 Glycosides
Cytopiloyne, a polyacetylene glucoside, reduced postprandial
blood glucose levels, increased blood insulin, improved glucose
tolerance, suppressed HbA1c level, and protected pancreatic islets
in diabetic db/db mice (Chang et al., 2013b).
Supplementation of Naringin improved glucose intolerance
and insulin resistance in a model of high-fat-diet–fed mice (Pu
et al., 2012). Naringin (together with Neohesperidin, hesperidin,
and nobiletin) significantly inhibited amylase-catalyzed starch
digestion and played roles in hyperglycemia management by
increasing hepatic glycolysis and glycogen concentration and
lowering hepatic gluconeogenesis. Furthermore, hesperidin,
naringin, and nobiletin reduced hepatic gluconeogenesis and
improved insulin sensitivity in animal models (Lv et al., 2015).
4.3.1 Alkaloids
The sulfur compounds present in the onion can significantly
control the blood glucose and lipids in serum and tissues and
normalize liver hexokinase, glucose 6-phosphatase and HMG
CoA reductase (Akash et al., 2014). It was shown that vindoline I,
vindolidine II, vindolicine III, and vindolinine improve the
hyperglycemia condition of type 2 diabetes by enhancing
glucose uptake in pancreatic or muscle cells. In addition, they
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Neohesperidin significantly decreased fasting glucose, serum
glucose, and glycosylated serum protein in mice. In addition,
this compound significantly reduced serum triglycerides,
total cholesterol, leptin level, and liver index; it inhibited
lipid accumulation in the liver and decreased the size of
epididymal adipocytes in the KK-Ay mice (Osfor et al.,
2013; Jia et al., 2015).
Some phenolic glycosides, including niazirin A, S-Methyl-N{4-[(α-l-rhamnosyloxy)benzyl]}thiocarbamate, reduced blood
glucose levels in STZ-induced diabetic mice and promoted the
glucose consumption of IR cells (Wang F. et al., 2017).
Isothiocyanates inhibited gluconeogenesis and hepatic
glucose-6-phosphatase (G6P) expression in hepatoma cells and
improved glucose tolerance and insulin signaling sensitivity
(Waterman et al., 2016).
Galactomannan
showed
significant
dose-related
hypoglycaemic and antihyperglycaemic effects; the obtained
results were better than glibenclamide used as reference
(Anwar et al., 2011).
Aloe-emodin-8-O-glycoside enhanced glucose transport
through proximal and distal marker modulation involved in
glucose uptake and its transformation into glycogen (Salehi
et al., 2018).
Syringin, a phenylpropanoid glucoside, indicated a significant
reduction of blood glucose and HbA1c levels and improved
transaminase enzymes, plasma protein, blood urea, serum
creatinine, and uric acid levels. Inversely, it increased plasma
insulin and hemoglobin levels in diabetic rats (Sundaram et al.,
2014).
Rutin (a flavonol glycoside) significantly increased in vivo
glucose-induced insulin secretion and acted as an insulin
secretagogue in the management of glucose homeostasis
(Kappel et al., 2013). Hirsutrin was suggested to prevent
osmotic stress in hyperglycemia conditions by inhibiting
RLAR activity and galactitol formation in rat lenses (Kim
et al., 2013).
According to Fernando et al. (2019), three flavone
C-glycosides, vicenin-1, isoschaftoside, and schaftoside,
respectively, inhibited 60.3, 33.8, and 95.5% of pancreatic
lipase enzyme, which plays a vital role in obesity (as a crucial
factor in the occurrence of DMT2). Phenolic-C-glycosides
enhanced and stimulated the glucose update process in mouse
skeletal muscle cells (Mishra et al., 2013).
A stearoyl glucoside of ursolic acid (urs-12-en-3β-ol-28oic
acid
3β-D-glucopyranosyl-4′octadecanoate)
demonstrated an antidiabetic property by lowering sugar
blood in rats from the 8th day to the 21st day of the
experiment (Kazmi et al., 2012).
glucose levels and blood lipid (triglyceride and cholesterol)
(Wang F. et al., 2017).
4.3.6 Polyphenols
Quercetin and its glycosides protected β-cell mass and function
under high-fructose induction (Li et al., 2013). 4’-methylquercetin-7-O-β-D-glucuronopyranoside enzymes, quercetin-3O-glucoside,
avicularin,
castalagin,
and
2,3hexahydroxydiphenoyl-(α/β)-D-(4)C1-glucopyranose showed
inhibition capacity of sucrase (Abdelhady et al., 2016).
Moreover, they exhibited significant inhibition of alphaglucosidase and alpha-amylase enzymes compared to acarbose
(Wang et al., 2010; Olennikov and Kashchenko, 2014). A
flavonoid named alliuocide G showed in vitro alpha-amylase
inhibitory activity and radical scavenging potency (Mohamed,
2008).
Cinnamic acid and its derivatives (caffeic acid, ferulic acid,
isoferulic acid, and p-hydroxycinnamic acid) are associated
with a beneficial influence on Diabetes and its complications
through many mechanisms. The most well-known are:
stimulation of insulin secretion, improvement of
pancreatic β-cell functionality, inhibition of hepatic
gluconeogenesis, enhanced glucose uptake, increased
insulin signaling pathway, delay of carbohydrate digestion
and glucose absorption, and inhibition of protein glycation
(Adisakwattana, 2017). Ferulic acid regenerated pancreatic
beta-cells, reduced the risk of high-fat diet-induced
hyperglycemia via insulin secretion and hepatic glucoseregulating enzyme activities, and regulated blood glucose
levels by elevating glucokinase activity and production of
glycogen (Silva and Batista, 2017). Caffeic acid produced a
significant alpha-glucosidase inhibition comparing with
acarbose (Olennikov and Kashchenko, 2014). In addition,
together with chlorogenic acid and chicoric acid, it increased
glucose uptake in muscle cells and stimulated insulin
secretion from an insulin-sensitizing and insulin-secreting
cell line and islets (Tousch et al., 2008; Ferrare et al., 2017).
Caffeoylquinic acid derived from caffeic acid showed high
inhibitory activity against digestive enzymes, exceptionally
higher against alpha-amylase and alpha-glucosidase
(Olennikov et al., 2018).
A study indicated that epigallocatechin and epigallocatechin
gallate reduced fasting blood glucose levels, triglycerides, and
total cholesterol in streptozotocin-induced diabetic mice
(Bakoma et al., 2018). Also, apigenin-7-rhamnoside, astragalin,
6-hydroxy kaempferol, quercitrin exhibited significant activity
against alpha-glucosidase enzyme (Parveen et al., 2017).
Kaempferol (Fraction B) lowered blood glucose of alloxaninduced diabetic rats. It also inhibited alpha-amylase and
alpha-glucosidase and reversed altered lipid profile and
oxidative stress biomarkers in diabetic rats (Ibitoye et al.,
2017). Kaempferol and myricetin showed high inhibitory
activities against alpha-amylase and alpha-glucosidase (Wang
et al., 2010).
Compared with the reference compound acarbose, Aesculetin
and isorhamnetin demonstrated significantly higher inhibitory
activity (Olennikov and Kashchenko, 2014). Polyphenols
4.3.5 Phytosterols
Sanni et al. (2019) suggested that sitosterol, stigmasterol,
campesterol, squalene, and nimbiol might have antidiabetic
potential through their molecular docking with AMP-activated
protein kinase (α-AMPK) and alpha-amylase and alphaglucosidase inhibitions. Stigmasterol increased GLUT4
translocation and expression in vitro. In mice, it alleviated
insulin resistance, glucose tolerance by reducing fasting blood
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Review of Congolese Antidiabetic Plants
compounds such as proanthocyanidins and anthocyanins
showed as potential natural alpha-glucosidase inhibitors (Dey
and Mitra, 2013).
Anthocyanins efficiently protected pancreatic beta-cells from
cell death in HIT-T15 cell culture and db/db mice (Hong et al.,
2013). Johnson et al. (2015) demonstrated that prenylated
anthranols possess an alpha-glucosidase inhibitory potential.
According to their findings, the most antidiabetic activity was
found with harunganol compared to acarbose.
Kolaviron, a bioflavonoid complex, demonstrated a significant
reduction of glycemia in normoglycemic rats. Moreover,
kolaviron showed a significant antidiabetic potential in
streptozotocin-induced rats (Adaramoye and Adeyemi, 2006).
Ellagic acid and its derivatives act as a hypoglycaemic agent on
carbohydrate digestion and absorption, insulin secretion (Bharti
et al., 2018). Hydrolyzable tannins including 1,2,3,6-tetraO-galloyl-4-O-cinnamoyl-b-D-glucose and 4-O-(200,400-diO-gal-loyl-a-L-rhamnosyl) ellagic acid showed significant
alpha-glucosidase inhibitory efficacy with IC50 values of 2.9
and 6.4 mM, respectively (Lee et al., 2017).
Chicoric acid lowered the glycaemic levels of diabetic mice
(Casanova et al., 2014) significantly. Valoneic acid dilactone, a
hydrolyzable tannin, showed a potential antidiabetic effect alphaamylase enzyme activity compared to the value obtained by
acarbose. In the same way, it significantly inhibited aldose
reductase enzyme activity and PTP1B enzyme activity.
However, in vivo evaluation, it reduced the BGL considerably
in acute evaluation for 4 h. Furthermore, oral administration of
the compound for 21 days significantly decreased BGL and
improved the tolerance to glucose compared to control groups
(Jain et al., 2012).
Gingerols demonstrated antidiabetic potential by enhancing
glucose uptake. Primarily, (S)-[8]-Gingerol was found to be the
most potent on glucose uptake and increase in the surface
distribution of GLUT4 protein on the L6 myotube plasma
membrane (Noipha and Ninla-aesong, 2018).
ρ-Coumaric acid exhibited higher inhibition activity against
alpha-glucosidase (98.8%) than acarbose (62.5%). However,
acarbose showed the most potent inhibition against alphaamylase (98.6 vs 66.8%) (Aalim et al., 2019).
Luteolin showed significant alpha-glucosidase and alphaamylase inhibitory activities (Dekdouk et al., 2015). Chebulagic
acid (a benzopyran tannin) reduced maltose-hydrolysis and
sucrose-hydrolysis activities. Meanwhile, it induced a decrease
at 11.1% of postprandial blood sugar value in maltose-loaded
Sprague-Dawley rats (Huang et al., 2012).
Furofuran lignans with a free hydroxyl synthesized from
herein demonstrated an inhibition potential against alphaglucosidase and free radicals (Worawalai et al., 2016).
Previously, Wikul et al. (2012) conducted bio-guided
isolation and showed that (+)-pinoresinol, a lignan, had
inhibitory activity against rat intestinal maltase. Also, Ntrans-feruloyl tyramine, N-trans-p-coumaroyl tyramine, and
N-cis-p-coumaroyl tyramine (Phenylmethyl cinnamates)
showed inhibitory activity against alpha-glucosidase (Liu
et al., 2011).
Frontiers in Pharmacology | www.frontiersin.org
4.3.7 Saponins
Pseudoprototinosaponin AIII and prototinosaponins AIII
produced a hypoglycaemic effect on glucose uptake and
insulin release due to their actions on hepatic
gluconeogenesis or glycogenolysis (Patel et al., 2012).
Furostanol saponin showed significant antidiabetic
potential in vitro by reducing the fasting plasma glucose
level by 46.14% and increasing insulin and C-peptide
levels (Ezzat et al., 2017). [3β,7β,25- trihydroxycucurbita5,23(E)-dien-19-al, momordicine I, momordicine II, 3hydroxycucurbita-5,24-dien-19-al-7,23-di-O-βglucopyranoside, and kuguaglycoside G] were potent in the
β-cell insulin secretion evaluation. Momordicine II and
kuguaglycoside have stimulated insulin secretion 7.3 and
7.1 times and 8.1 and 7.8 times more, respectively, than
the control group (Keller et al., 2011).
25-O-methylkaraviagein D, karaviloside II, and (19R,23E)5b,19-epox
y-19,25-dimethoxycucurbita-6,23-dien-3b-ol,
cucurbitane exhibited significant inhibitory activity on alphaglucosidase with IC50 values of 10.19, 28.55, and 20.20 µM,
respectively (Yue et al., 2017). Oral administration of saponins
improved body weight and insulin resistance. There was an
increase in fasting blood glucose concentration and the
proportion
of
hepatic
phosphorylated
adenosine
monophosphate-activated protein kinase (p-AMPK)/total
protein (Wang et al., 2019).
4.3.8 Terpenoids
Oleanolic acid, a plant-derived triterpenoid, boosted insulin
secretion in vitro and stimulated insulin secretion at both basal
and stimulatory glucose concentrations in INS-1 832/13 cells,
and enhanced acute glucose-stimulated insulin secretion
cultured β-cells (Teodoro et al., 2008). Furthermore, it
decreased serum glucose and insulin concentrations in mice
fed with a high-fat diet and enhanced glucose tolerance (Sato
et al., 2007). Oleanolic and ursolic acids showed potent alphaglucosidase and alpha-amylase inhibition. Ursolic acid showed
uncompetitive inhibition of alpha-glucosidase compared to
acarbose as a competitive inhibitor (Ali et al., 2006; Salah El
Dine et al., 2014).
Thujone, a monoterpene existing as two stereoisomers (α- and
β-Thujone), is an ingredient of essential oils of many great
different herbs; it can increase free insulin-stimulated glucose
transporter by activation of adenosine monophosphate-activated
protein kinase (Daradka et al., 2014).
α-amyrin acetate (a pentacyclic triterpenoid) lowered the
blood glucose profile in STZ-induced diabetic rats and db/db
mice at 50 mg kg1 dose level (Singh et al., 2009). Pahlavani et al.
(2019) showed that some compounds like charantin (a
triterpenoid phytoconstituent), possess antidiabetic potential
by several mechanisms, including insulin secretion increase,
insulin resistance decrease, skeletal muscle cell glucose
utilization increase, and inhibition of intestinal enzymes.
Cucurbitane-type compounds (3β,7β,25-trihydroxycucurbita5,23(E)-dien-19-al, charantal, charantoside XI, and 25ξisopropenylchole-5,
6-ene-3-O-D-glucopyranoside),
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Review of Congolese Antidiabetic Plants
demonstrated an alpha-amylase and alpha-glucosidase inhibitory
activities ranging from 56 to 79% (Shivanagoudra et al., 2019).
Two monoterpenes (1S,2R,3R,5S)-2-hydroxymethyl-6,6dimethylbicyclo[3.1.1]heptane-2,3diol,
and
sobrerol
significantly increased glucose uptake in 3T3-L1 adipocytes (Li
et al., 2013b). On the other hand, three germacrene
sesquiterpenes increased glucose uptake substantially without
significant toxic effects in 3T3-L1 adipocytes (Zhao et al., 2012).
scientific requirements for their introduction studies into the
national pharmacopeia. Although a few plants reduced blood
sugar levels, clinical data and antidiabetic studies of the isolated
compounds remain limited to allow the availability and
accessibility of standardized phytomedicines to Congolese.
This review constitutes a primary database for further
experimental studies, especially for unstudied species in the
perspective of safe and efficient use of easily accessible natural
resources.
5 CONCLUSION
AUTHOR CONTRIBUTIONS
Multiple investigations have been carried out on natural
products, mainly plants used to treat Diabetes Mellitus
worldwide. In DRC, a country with a high ecological, cultural
and human diversity, traditional medicine through plants
occupies an important place in the health system. Several
ethnopharmacological and ethnobotanical studies have been
conducted previously in this perspective, and various plant
species have been identified. Contrary to the previous review,
the present review assessed the quality of studies carried inside
DRC and resorted similarities/discrepancies with studies
conducted outside. The findings confirm the high diversity of
the flora and the various ethnic groups in DRC. Most of the plants
claimed as antidiabetic and used by traditional healers in the DRC
are not specifically native to DRC. One hundred thirty-four native
and introduced species have been experimentally validated by
various pharmacological, toxicological, and phytochemical
researches. Many plants are safe at doses < 500 mg/kg, but
long-term use may trigger sub-chronic toxicity. Exclusively
conducted in DRC, preclinical and clinical studies of some
plant species demonstrated poor protocol quality. Locally
specific species deserve in-depth investigations to meet
FK conceived the manuscript, wrote the first draft, and analyzed
data. JK analyzed data and rewrote the manuscript draft. All
authors conducted the literature search. All authors read,
corrected, and approved the final manuscript.
ACKNOWLEDGMENTS
The authors are grateful to the Mbarara University of Science and
Technology (MUST), Pharm-Bio Technology and Traditional
Medicine Centre (PHARMBIOTRAC), and The World Academy
of Science (TWAS), International Center of Chemical and Biological
Sciences (ICCBS) for providing Ph.D. Scholarships to FK.
SUPPLEMENTARY MATERIAL
The Supplementary Material for this article can be found online at:
https://www.frontiersin.org/articles/10.3389/fphar.2021.757090/
full#supplementary-material
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