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The 
Senescence-­‐Accelerated 
Mouse 
(SAM): 
A 
Murine 
Model 
of 
Age-­‐Associated 
Diastolic 
Dysfunc;on 
Alana 
L. 
Reed 
Advisors: 
Roy 
L. 
Sutliff 
and 
Samuel 
C. 
Dudley 
Jr. 
PhD 
Disserta;on 
Defense 
30 
June 
2011
“The 
thousand 
mysteries 
around 
us 
would 
not 
trouble 
but 
interest 
us, 
if 
only 
we 
had 
cheerful, 
healthy 
hearts.” 
-­‐Friedrich 
Wilhelm 
Nietzsche
Aging: 
demographics 
and 
lifespan 
• The 
United 
States 
is 
experiencing 
a 
significant 
increase 
in 
the 
popula;on 
of 
older 
adults 
• Over 
the 
next 
25 
years, 
the 
number 
of 
Americans 
over 
the 
age 
of 
65 
will 
double 
• By 
2030 
there 
will 
be 
71 
million 
older 
adults, 
comprising 
20% 
of 
the 
US 
popula;on 
• 80% 
of 
older 
adults 
live 
with 
one 
or 
more 
chronic 
medical 
condi;ons 
• Health 
care 
for 
pa;ents 
over 
the 
age 
of 
65 
costs 
approximately 
five 
;mes 
more 
than 
for 
a 
person 
under 
the 
age 
of 
65 
• Healthcare 
expenditures 
are 
projected 
to 
increase 
by 
25% 
by 
the 
year 
2030 
as 
a 
result 
of 
the 
growing 
demographic 
of 
older 
Americans 
• Chronic 
medical 
condi;ons 
also 
decrease 
the 
quality 
of 
life 
CDC, 
2007
Theories 
of 
aging 
• 1920’s 
– 
Raymond 
Pearl 
and 
the 
“rate 
of 
living 
hypothesis” 
• 1956 
– 
Denham 
Harman’s 
“free-­‐radical 
theory” 
of 
aging 
• 1965 
– 
Hayflick 
observed 
senescence 
in 
cell 
culture 
What 
exactly 
causes 
aging?
Mechanisms 
of 
aging: 
ROS 
Finkel 
and 
Holbrook, 
2000
Mechanisms 
of 
aging: 
telomeres 
• Shortening 
of 
leukocyte 
telomeres 
correlates 
with 
CV 
disease 
(Epel 
et 
al., 
2009) 
• Telomere 
length 
correlates 
with 
age-­‐ 
associated 
inflammatory 
markers 
(Blagosklonny 
et 
al., 
2010) 
• Telomerase-­‐deficient 
mice 
demonstrated 
compromised 
mitochondrial 
func;on 
(Sahin 
et 
al., 
2011) 
Finkel 
and 
Holbrook, 
2000
Age-­‐associated 
cardiovascular 
changes 
• Aging 
is 
a 
major 
risk 
factor 
for 
disease 
• Vascular 
changes 
– Dila;on 
of 
large 
elas;c 
arteries 
– In;mal 
media 
thickening 
– Increased 
vascular 
s;ffness 
– Endothelial 
dysfunc;on 
• Changes 
in 
the 
vasculature 
can 
set 
older 
individuals 
up 
for 
heart 
disease 
(i.e. 
hypertension) 
Lakaga 
and 
Levy, 
2003
Cardiovascular 
aging 
and 
disease 
Lakaga 
and 
Levy, 
2003
Age-­‐associated 
cardiac 
changes 
LV hypertrophy 
• Increased wall thickness 
• Cardiomyocyte hypertrophy 
• Heart failure 
Diastolic dysfunction 
• Decreased early diastolic 
filling 
• Increased late diastolic filling 
• Impaired ability of LV to relax 
Impaired contractility 
• Decreased reserve 
• Norepinephrine dysregulation 
Vascular-ventricular 
mismatching 
• Decreased LV elastance 
• Diminished cardiac reserve 
Abnormal rhythmicity 
• Increase in arrhythmia 
• Atrial fibrillation 
Vascular changes 
• Dilation of large arteries 
• Intimal media thickening 
• Increased stiffness 
• Endothelial dysfunction
Heart failure and diastolic dysfunction 
• Half of the 5 million heart failure patients in the 
US have diastolic heart failure 
• Characteristics: 
– Concentric remodeling 
– Normal LV volume 
– Slow or delayed active relaxation 
– Increased passive stiffness 
• Patient characteristics and risk factors: 
– Elderly 
– Hypertension 
• Diastolic dysfunction, often clinically silent, 
precedes diastolic heart failure 
• Treatment strategies are limited due to a poor 
understanding of the mechanism of disease, 
but fibrosis is thought to play a role
Mechanisms 
of 
diastolic 
dysfunc;on 
• Cellular 
mechanisms: 
– Decline 
in 
SERCA2a 
expression 
and 
ac;vity 
– NCX 
upregula;on 
– Increased 
free 
ADP 
– Ti;n 
isoform 
switching 
• Extracellular 
matrix: 
– Collagen 
deposi;on 
– Changes 
in 
collagen 
crosslinks 
– Altera;on 
in 
MMP 
and 
TIMP 
profiles 
• Effects 
external 
to 
LV: 
– Neurohormonal 
ac;va;on 
– Increased 
ajerload 
Kass 
et 
al., 
2004
Animal 
models 
of 
diastolic 
dysfunc;on 
• DOCA-­‐salt 
hypertension 
and 
pressure 
overload 
• Transgenic 
cons;tu;vely 
ac;ve 
AT1 
receptor 
• Diabetes 
and 
chronic 
kidney 
disease 
• Familial 
hypertrophic 
cardiomyopathy 
• Advanced 
age 
and 
senescence
The model: the senescence-accelerated 
mouse (SAM) 
• Model of spontaneous senescence that displays many 
common geriatric disorders in human population 
• Two series: SAMR and SAMP 
• Breeders retrospectively chosen based on degree of 
senescence at eight months 
– Life span 
– Clinical signs of aging 
• Earlier onset and irreversible advancement of senescence 
• SAMP have 40% shorter life span (9.7 months) than SAMR 
• For our studies, we use SAMR1 and SAMP8 mice at 6 
months of age
Cardiovascular 
diseases 
in 
the 
SAM 
model 
• Lipid 
peroxida;on, 
increased 
cholesterol, 
and 
atherosclerosis 
(Yagi, 
1995 
and 
Fenton, 
2004) 
• Increased 
aor;c 
wall 
thickness, 
collagen, 
and 
SMC 
hypertrophy 
(Zhu, 
2001) 
• Impaired 
SMC 
contrac;lity, 
relaxa;on, 
and 
endothelial 
dysfunc;on 
(Llorens, 
2007) 
• Increased 
inflammatory 
markers, 
oxida;ve 
stress, 
and 
endothelial 
dysfunc;on 
(Forman, 
2010) 
• Increased 
mitochondrial 
lipid 
peroxida;on 
and 
increased 
an;oxidant 
expression 
(Rodriguez, 
2007)
Objec;ves 
of 
this 
disserta;on 
• To 
inves;gate 
poten;al 
mechanisms 
that 
lead 
to 
the 
development 
of 
age-­‐associated 
diastolic 
dysfunc;on 
in 
a 
mouse 
model 
of 
spontaneous 
accelerated 
senescence 
– To 
establish 
the 
presence 
of 
diastolic 
dysfunc;on 
in 
the 
SAM 
model 
– To 
evaluate 
fibrosis, 
and 
the 
role 
played 
by 
cardiac 
fibroblasts, 
as 
a 
cause 
of 
diastolic 
dysfunc;on 
– To 
examine 
the 
poten;al 
role 
played 
by 
oxida;ve 
stress 
in 
age-­‐associated 
diastolic 
dysfunc;on 
and 
;ssue 
fibrosis 
in 
the 
SAM 
model
Part 
I: 
The 
SAM 
model 
is 
a 
model 
of 
age-­‐related 
diastolic 
dysfunc;on
Methods 
• Quan;ta;ve 
real-­‐;me 
PCR 
• Echocardiography 
• Invasive 
hemodynamics 
• Func;onal 
analysis 
of 
isolated 
cardiomyocytes 
• Telemetry
SAMP8 mice show evidence of 
accelerated cardiac aging 
• p19 (ARF) is a tumor suppressor 
protein encoded by the INK4a/ 
ARF locus 
• p19 regulates the p53 pathway by 
influencing stability of p53 
– p19 inhibits MDM2, which 
prevents MDM2 from targeting 
p53 for degradation 
• p19 plays dual roles in tumor 
suppression and senescence, 
since senescence requires 
activation of p53 
• So, p19 is a marker of 
senescence and increased 
expression correlates with aging 
Reed 
et 
al., 
2011 
*p<0.05
Heart and body weight data 
SAMR1 at 6 
months (n=8) 
SAMP8 at 6 
months (n=8) 
p value 
Body weight (g) 41.2 ± 1.3 42.6 ± 0.7 NS 
Heart weight (mg) 110.4 ± 1.9 120.1 ± 2.2 p<0.05 
HW/BW 3.6 ± 0.1 3.7 ± 0.1 NS 
HW/tibial length 6.6 ± 0.1 7.0 ± 0.1 p <0.05 
BW/tibial length 1.9 ± 0.04 1.9 ± 0.03 NS 
Based on the heart weight/tibial length ratio, it appears there is 
cardiac hypertrophy in SAMP8 mice by six months of age.
Measurement 
of 
LV 
volume 
and 
func;on 
using 
echocardiography
SAMP8 mice show no difference in cardiac 
structure or function at 3 or 6 months of age 
SAMR1 
3 months old 
SAMP8 
3 months old 
SAMR1 
6 months old 
SAMP8 
6 months old 
LVID;s (mm) 2.9 ± 0.07 2.7 ± 0.1 2.6 ± 0.07 2.6 ± 0.07 
LVID;d (mm) 4.0 ± 0.05 4.0 ± 0.1 4.0 ± 0.06 4.0 ± 0.08 
LV vol;s (mm) 32.3 ± 1.8 28.1 ± 2.8 25.1 ± 1.7 24.8 ± 1.7 
LV vol;d (mm) 71.6 ± 2.2 70.9 ± 4.7 69.7 ± 2.3 70.5 ± 3.6 
SV (μL) 39.3 ± 1.2 42.7 ± 2.7 44.5 ± 1.0 45.7 ± 2.2 
EF (%) 55.0 ± 1.6 60.5 ± 2.0 64.3 ± 1.5 65.0 ± 1.2 
FS (%) 28.3 ± 1.1 32.0 ± 1.4 34.7 ± 1.1 35.3 ± 0.8 
Reed 
et 
al., 
2011
Doppler 
echocardiography 
for 
the 
assessment 
of 
diastolic 
func;on 
Zile 
et 
al., 
2002
SAMP8 mice display evidence of diastolic 
dysfunction at 6 months, but not 3 months, 
of age 
SAMR1 
3 months old 
SAMP8 
3 months old 
SAMR1 
6 months old 
SAMP8 
6 months old 
E/A 1.4 ± 0.03 1.4 ± 0.04 1.3 ± 0.03 1.2 ± 0.03 *§ 
E’ (mm/s) 28.1 ± 1.03 30.8 ± 2.0 25.7 ± 0.9 21.1 ± 0.8 § 
A’ (mm/s) 20.7 ± 0.9 20.8 ± 1.7 23.3 ± 0.8 25.8 ± 1.1 § 
E’/A’ 1.4 ± 0.03 1.4 ± 0.04 1.1 ± 0.02 § 0.8 ± 0.03 *§ 
*p<0.05 when comparison is made between SAMR1 and SAMP8 mice of the same age 
§p<0.05 when comparison is made between the same type of mice at 3 and 6 months of 
age 
Reed 
et 
al., 
2011
Invasive 
hemodynamics: 
pressure-­‐ 
volume 
loops 
Gaasch 
and 
Zile, 
2004
Invasive hemodynamics confirm diastolic 
dysfunction at 6 months of age 
SAMR1 
6 months old 
SAMP8 
6 months old 
LVESP (mmHg) 85.8 ± 3.4 79.5 ± 4.0 
LVEDP (mmHg) 3.4 ± 0.3 5.6 ± 0.9* 
dP/dtmax (mmHg/sec) 8093 ± 721 7534 ± 788 
dP/dtmin (mmHg/sec) -9138 ± 832 -9089 ± 1055 
Tau-Glantz (ms) 8.5 ± 0.6 8.7 ± 0.7 
Tau-Weiss (ms) 5.1 ± 0.3 5.7 ± 0.4 
EDPVR (mmHg/μL) 0.5 ± 0.05 0.8 ± 0.1* 
ESPVR (mmHg/μL) 5.9 ± 0.6 7.9 ± 1.0 
*p < 0.05 compared to SAMR1 
Reed 
et 
al., 
2011
What 
are 
the 
mechanisms 
driving 
diastolic 
dysfunc;on? 
• Is 
is 
developing 
as 
a 
result 
of 
pressure 
over 
load 
and 
hypertension? 
• Is 
it 
driven 
by 
abnormal 
relaxa;on 
of 
cardiac 
myocytes? 
• Are 
there 
abnormali;es 
in 
metabolism 
or 
other 
organs 
that 
could 
be 
responsible? 
• Could 
cardiac 
fibrosis 
contribute 
to 
diastolic 
dysfunc;on?
Diastolic dysfunction is unrelated to 
hypertension in the SAM model 
Mean arterial pressure and heart rate were measured in SAMR1 
and SAMP8 mice from 3 to 6 months of age. No differences 
were found, suggesting that the diastolic dysfunction observed in 
this model is not secondary to hypertension. 
Reed 
et 
al., 
2011
Diastolic 
dysfunc;on 
is 
unrelated 
to 
cardiomyocyte 
contrac;on 
or 
relaxa;on 
Reed 
et 
al., 
2011
Metabolic profile of SAM mice 
SAMR1 SAMP8 p value 
(n=8) (n=8) 
Bicarbonate (mM) 18.6 ± 1.6 20.4 ± 1.4 NS 
Glucose (mg/dL) 251.1 ± 11.3 270.0 ± 8.4 NS 
BUN (mg/dL) 15.9 ± 0.5 17.8 ± 0.4 <0.05 
Creatinine (mg/dL) 0.21 ± 0.01 0.20 ± 0.0 NS 
It 
seems 
unlikely 
that 
metabolic 
abnormali;es 
are 
driving 
the 
development 
of 
diastolic 
dysfunc;on 
in 
SAM 
mice.
Right 
heart 
func;on 
is 
unaffected 
in 
SAM 
mice 
There 
are 
no 
differences 
between 
SAMR1 
and 
SAMP8 
mice 
in 
lung 
weight, 
RV/LV+S 
ra;o, 
or 
RVSP, 
indica;ng 
that 
diastolic 
dysfunc;on 
has 
not 
progressed 
to 
heart 
failure 
and 
that 
right 
heart 
func;on 
has 
not 
been 
affected.
Conclusions 
• SAMP8 
mice 
undergo 
accelerated 
senescence 
• SAMP8 
mice 
develop 
diastolic 
dysfunc;on 
in 
the 
absence 
of 
systolic 
dysfunc;on 
by 
6 
months 
of 
age 
• Diastolic 
dysfunc;on 
does 
not 
result 
from 
hypertension, 
changes 
in 
cardiac 
myocytes, 
or 
metabolic 
abnormali;es
Part 
II: 
Diastolic 
dysfunc;on 
is 
associated 
with 
fibrosis 
in 
the 
SAM 
model
Aging, 
fibrosis, 
and 
cardiac 
disease 
Chen 
and 
Frangogiannis, 
2010
Methods 
• Histology 
• Quan;ta;ve 
real-­‐;me 
PCR 
• Western 
blot 
analysis 
• TGF-­‐β 
enzyme-­‐linked 
immunoassay 
(ELISA) 
• Cardiac 
fibroblast 
isola;on 
and 
culture 
• MTT 
cell 
prolifera;on 
assay 
• Amplex® 
Red 
H2O2 
assay 
• Cardiac 
fibroblast 
response 
to 
TGF-­‐β
Assessment of collagen: picrosirius red 
staining 
SAMR1 SAMP8 
Using brightfield microscopy, SAMP8 mice show greater and 
more intense red staining, indicating collagen accumulation at 6 
months of age compared to SAMR1 controls.
SAMP8 mice display greater cardiac 
collagen deposition 
SAMP8 mice show 
greater collagen 
deposition in 
interstitial regions 
SAMP8 mice show 
greater collagen 
deposition in 
perivascular 
regions as well 
SAMR1 
SAMR1 
SAMP8 
SAMP8 
Reed 
et 
al., 
2011
Increased fibrosis observed using Masson’s 
trichrome staining 
SAMR1 
SAMR1 
SAMP8 
SAMP8 
Reed 
et 
al., 
2011 
*p<0.05
Gene expression of ECM components is 
increased in SAMP8 mice 
*p<0.05 
• Collagen 1A1 is the major 
component of scar tissue 
• Collagen 3 is commonly associated 
with collagen 1A1 
• Fibronectin is an extracellular matrix 
protein which can bind to collagen 
• All three are associated with fibrosis 
Reed 
et 
al., 
2011
Signaling pathways leading to fibrosis 
• TGF-β is a cytokine implicated 
in fibroinflammatory changes 
– Fibroblast proliferation 
– Extracellular matrix production 
• Collagen 
• Fibronectin 
• TGF-β converts fibroblasts into 
myofibroblasts which play a 
role in organ remodeling and 
fibrosis 
• TGF-β can induce connective 
tissue growth factor (CTGF) 
– CTGF also promotes 
extracellular matrix synthesis 
• TGF-β and CTGF work 
synergistically and are 
associated with increased 
collagen and fibronectin 
expression 
Stimuli for cytokine production 
• Injury 
• Pressure overload 
• Neurohormonal activation 
TGF-β 
Cellular events 
• Type I and III collagen synthesis 
• Decreased proteases 
• Increased TGF-b1 autoinduction 
Cardiac events 
• Impaired contractility 
• Cardiac hypertrophy 
• Dilated cardiomyopathy 
• Myocardial fibrosis 
Adapted 
from 
Lim 
and 
Zhu, 
2006
Gene expression of pro-fibrotic cytokines is 
increased in SAMP8 mice 
*p<0.05 
• TGF-β is a major pro-fibrotic cytokine that signals through the Smad 
pathway 
• Connective tissue growth factor (CTGF) is downstream of TGF-β and 
stimulates extracellular matrix remodeling 
• TGF-β and CTGF act synergistically to promote and maintain fibrosis 
• Fibronectin 
• Collagens 1A1 and 3A 
Reed 
et 
al., 
2011
The 
role 
of 
fibroblasts 
in 
fibrosis 
Roles 
of 
the 
cardiac 
fibroblast 
Sources 
of 
fibroblasts 
and 
myofibroblasts 
Souders 
et 
al., 
2009
MTT 
assay 
for 
fibroblast 
prolifera;on 
• There is no difference 
in cell proliferation of 
cardiac fibroblasts 
from SAMR1 vs. 
SAMP8 mice, so it 
seems that fibrosis is 
not due to increased 
proliferation. n=4, p NS
Amplex 
red 
assay 
for 
H2O2 
produc;on 
• There 
is 
no 
difference 
in 
hydrogen 
peroxide 
being 
released 
from 
cultured 
fibroblasts 
from 
SAMR1 
vs. 
SAMP8 
mice. 
n=4, p NS
Gene expression of fibrosis markers in 
isolated cardiac fibroblasts 
p<0.05
Conclusions 
• SAMP8 
mice 
display 
inters;;al 
and 
perivascular 
cardiac 
fibrosis 
by 
6 
months 
of 
age 
• Gene 
expression 
of 
ECM 
proteins 
and 
pro-­‐ 
fibro;c 
cytokines 
is 
increased 
in 
SAMP8 
hearts 
• Isolated 
cardiac 
fibroblasts 
from 
SAMP8 
have 
a 
different 
response 
(decreased 
collagen 
3A) 
in 
response 
to 
TGF-­‐β 
s;mula;on
Part 
III: 
The 
role 
of 
oxida;ve 
stress 
in 
the 
SAM 
model
Oxida;ve 
stress 
in 
SAMP 
mice 
• PBN 
administra;on 
increased 
lifespan 
and 
prevented 
protein 
oxida;on 
• Decreased 
respiratory 
control 
ra;o 
and 
greater 
metabolic 
uncoupling 
in 
liver 
and 
heart 
;ssue 
• Increased 
electron 
leakage 
in 
brain 
;ssue 
• Increased 
lipid 
peroxida;on 
in 
brain 
;ssue 
accompanied 
by 
decreased 
SOD 
• Increased 
serum 
lipid 
peroxide 
level 
and 
changes 
indica;ve 
of 
atherosclerosis
ROS 
and 
cardiac 
remodeling 
• MAPK 
ac;va;on 
leading 
to 
hypertrophy 
• Apoptosis 
• Modifica;on 
of 
proteins 
central 
to 
ECC 
• Ac;va;on 
of 
MMPs 
• Sources: 
– NADPH 
oxidases, 
XO, 
mitochondria, 
NOS 
• An;oxidants: 
– SOD, 
Gaps, 
catalase, 
thioredoxin 
Giordano, 
2005
Oxida;ve 
Stress 
and 
DD 
• In 
vitro, 
increased 
ROS 
depresses 
myocyte 
contrac;lity 
• Animal 
models 
of 
CHF 
have 
increased 
ROS 
(e.g. 
iron-­‐ 
overload 
cardiomyopathy) 
• An;oxidants 
can 
improve 
func;on 
in 
canine 
model 
• Mitochondrial 
dysfunc;on 
implicated 
in 
increased 
ROS 
Takimoto 
et 
al., 
2007
Methods 
• High-­‐performance 
liquid 
chromatography 
(HPLC) 
• Electron 
spin 
resonance 
(ESR) 
spectroscopy 
• Quan;ta;ve 
real-­‐;me 
PCR
SAMP8 mice show evidence of 
oxidative stress in the blood 
This data suggests SAMP8 mice have increased oxidative stress in the 
blood (levels were unchanged in heart tissue) compared to SAMR1 
mice at 6 months of age, and this may be related to changes in Nox 
proteins and/or antioxidant enzyme levels.
SAMP8 
mice 
have 
increased 
vascular 
oxida;ve 
stress 
The 
spin-­‐probe 
CMH 
was 
used 
to 
trap 
O2 
•-­‐, 
which 
was 
then 
detected 
and 
quan;fied 
by 
ESR 
in 
aor;c 
samples 
from 
6-­‐month-­‐old 
SAMR1 
and 
SAMP8 
mice. 
SAMP8 
mice 
show 
increased 
aor;c 
O2 
•-­‐ 
produc;on 
compared 
to 
SAMR1 
controls 
at 
6 
months 
of 
age 
(n=4, 
p<0.05).
SAMP8 
mice 
show 
no 
difference 
in 
myocardial 
oxida;ve 
stress 
O2 
•-­‐ 
was 
measured 
using 
HPLC 
analysis 
with 
DHE 
detec;on 
in 
cardiac 
samples 
from 
6-­‐month-­‐old 
SAMR1 
and 
SAMP8 
mice. 
There 
was 
no 
difference 
in 
cardiac 
intracellular 
O2 
•-­‐ 
between 
SAMR1 
and 
SAMP8 
mice 
at 
6 
months 
of 
age 
(n=8, 
p=ns).
Do 
ROS 
play 
a 
role 
in 
the 
SAM 
model? 
• Why 
was 
superoxide 
increase 
in 
the 
blood 
and 
vasculature 
of 
SAMP8 
mice 
but 
not 
the 
heart? 
• Is 
superoxide 
the 
most 
important 
ROS? 
• Are 
an;oxidants 
upregulated? 
• How 
might 
low 
levels 
of 
ROS 
impact 
signaling 
pathways?
Nox2 and Nox4 gene expression is 
increased in SAMP8 mice 
However, Nox1 gene expression was unchanged.
Several antioxidant enzymes are 
increased in SAMP8 mice 
However, MnSOD, Prx3, and Sirt1 gene expression were unchanged.
Conclusions 
• SAMP8 
mice 
show 
increased 
oxida;ve 
stress 
in 
the 
blood 
and 
vasculature 
• Gene 
expression 
of 
Nox2 
and 
Nox4 
is 
increased 
in 
the 
hearts 
of 
SAMP8 
mice 
• Expression 
of 
catalase 
and 
GPX 
are 
also 
increased 
in 
the 
hearts 
of 
SAMP8 
mice 
• It 
is 
plausible 
that 
an;oxidants 
largely 
compensate 
for 
increased 
ROS, 
and 
that 
H2O2 
may 
be 
the 
most 
important 
ROS
Final 
summary 
• SAMP8 mice display diastolic dysfunction at 6 
months of age 
• SAMP8 mice have cardiac fibrosis, which is 
thought to result in diastolic dysfunction 
– Increased extracellular matrix components 
– Increased pro-fibrotic cytokines 
• Cardiac fibroblasts may contribute to the fibrotic 
process via their response to TGF-β 
• There are age-related changes in NADPH oxidase 
and antioxidant gene expression, suggesting a 
potential role for oxidative stress in age-associated 
fibrosis and diastolic dysfunction
Central conclusion 
The SAM model is valuable for the study of 
age-related diastolic dysfunction and the 
mechanisms behind the fibrotic response 
that contributes to diastolic dysfunction.
Future 
direc;ons 
• Measure 
TGF-­‐β 
receptor 
expression 
• Further 
elucidate 
the 
role 
of 
ROS 
• Examine 
the 
response 
of 
cardiac 
fibroblasts 
to 
ROS 
and 
other 
s;muli 
• Examine 
the 
role 
of 
angiotensin 
II 
in 
fibrosis 
and 
diastolic 
dysfunc;on 
• Inves;gate 
the 
role 
of 
immune-­‐inflammatory 
dysregula;on 
in 
promo;ng 
fibrosis 
• Explore 
vascular 
changes 
in 
the 
SAM 
model
Ques;ons 
and 
discussion
Thank you! 
• Sam and the Dudley lab 
– Gadi Silberman, Hong Liu, Euy-Myoung Jeong, and Megan 
Sturdy 
• Roy and the Sutliff lab 
– Erik Walp and Alex El-Ali 
• Dan and the Sorescu lab 
– Atsuko Tanaka and Josh Lovelock 
• Committee members 
– Mike Davis, Dave Harrison, and Kathy Griendling 
• VA 12th floor research group 
– Mike Hart, David Guidot, Tammy Murphy, Dean and Jen 
Kleinhenz 
• Division of Cardiology microscopy core 
• BioMarkers Core Laboratory 
• FRIMCORE
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Much 
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Reed AL - Dissertation Defense

  • 1. The Senescence-­‐Accelerated Mouse (SAM): A Murine Model of Age-­‐Associated Diastolic Dysfunc;on Alana L. Reed Advisors: Roy L. Sutliff and Samuel C. Dudley Jr. PhD Disserta;on Defense 30 June 2011
  • 2. “The thousand mysteries around us would not trouble but interest us, if only we had cheerful, healthy hearts.” -­‐Friedrich Wilhelm Nietzsche
  • 3. Aging: demographics and lifespan • The United States is experiencing a significant increase in the popula;on of older adults • Over the next 25 years, the number of Americans over the age of 65 will double • By 2030 there will be 71 million older adults, comprising 20% of the US popula;on • 80% of older adults live with one or more chronic medical condi;ons • Health care for pa;ents over the age of 65 costs approximately five ;mes more than for a person under the age of 65 • Healthcare expenditures are projected to increase by 25% by the year 2030 as a result of the growing demographic of older Americans • Chronic medical condi;ons also decrease the quality of life CDC, 2007
  • 4. Theories of aging • 1920’s – Raymond Pearl and the “rate of living hypothesis” • 1956 – Denham Harman’s “free-­‐radical theory” of aging • 1965 – Hayflick observed senescence in cell culture What exactly causes aging?
  • 5. Mechanisms of aging: ROS Finkel and Holbrook, 2000
  • 6. Mechanisms of aging: telomeres • Shortening of leukocyte telomeres correlates with CV disease (Epel et al., 2009) • Telomere length correlates with age-­‐ associated inflammatory markers (Blagosklonny et al., 2010) • Telomerase-­‐deficient mice demonstrated compromised mitochondrial func;on (Sahin et al., 2011) Finkel and Holbrook, 2000
  • 7. Age-­‐associated cardiovascular changes • Aging is a major risk factor for disease • Vascular changes – Dila;on of large elas;c arteries – In;mal media thickening – Increased vascular s;ffness – Endothelial dysfunc;on • Changes in the vasculature can set older individuals up for heart disease (i.e. hypertension) Lakaga and Levy, 2003
  • 8. Cardiovascular aging and disease Lakaga and Levy, 2003
  • 9. Age-­‐associated cardiac changes LV hypertrophy • Increased wall thickness • Cardiomyocyte hypertrophy • Heart failure Diastolic dysfunction • Decreased early diastolic filling • Increased late diastolic filling • Impaired ability of LV to relax Impaired contractility • Decreased reserve • Norepinephrine dysregulation Vascular-ventricular mismatching • Decreased LV elastance • Diminished cardiac reserve Abnormal rhythmicity • Increase in arrhythmia • Atrial fibrillation Vascular changes • Dilation of large arteries • Intimal media thickening • Increased stiffness • Endothelial dysfunction
  • 10. Heart failure and diastolic dysfunction • Half of the 5 million heart failure patients in the US have diastolic heart failure • Characteristics: – Concentric remodeling – Normal LV volume – Slow or delayed active relaxation – Increased passive stiffness • Patient characteristics and risk factors: – Elderly – Hypertension • Diastolic dysfunction, often clinically silent, precedes diastolic heart failure • Treatment strategies are limited due to a poor understanding of the mechanism of disease, but fibrosis is thought to play a role
  • 11. Mechanisms of diastolic dysfunc;on • Cellular mechanisms: – Decline in SERCA2a expression and ac;vity – NCX upregula;on – Increased free ADP – Ti;n isoform switching • Extracellular matrix: – Collagen deposi;on – Changes in collagen crosslinks – Altera;on in MMP and TIMP profiles • Effects external to LV: – Neurohormonal ac;va;on – Increased ajerload Kass et al., 2004
  • 12. Animal models of diastolic dysfunc;on • DOCA-­‐salt hypertension and pressure overload • Transgenic cons;tu;vely ac;ve AT1 receptor • Diabetes and chronic kidney disease • Familial hypertrophic cardiomyopathy • Advanced age and senescence
  • 13. The model: the senescence-accelerated mouse (SAM) • Model of spontaneous senescence that displays many common geriatric disorders in human population • Two series: SAMR and SAMP • Breeders retrospectively chosen based on degree of senescence at eight months – Life span – Clinical signs of aging • Earlier onset and irreversible advancement of senescence • SAMP have 40% shorter life span (9.7 months) than SAMR • For our studies, we use SAMR1 and SAMP8 mice at 6 months of age
  • 14. Cardiovascular diseases in the SAM model • Lipid peroxida;on, increased cholesterol, and atherosclerosis (Yagi, 1995 and Fenton, 2004) • Increased aor;c wall thickness, collagen, and SMC hypertrophy (Zhu, 2001) • Impaired SMC contrac;lity, relaxa;on, and endothelial dysfunc;on (Llorens, 2007) • Increased inflammatory markers, oxida;ve stress, and endothelial dysfunc;on (Forman, 2010) • Increased mitochondrial lipid peroxida;on and increased an;oxidant expression (Rodriguez, 2007)
  • 15. Objec;ves of this disserta;on • To inves;gate poten;al mechanisms that lead to the development of age-­‐associated diastolic dysfunc;on in a mouse model of spontaneous accelerated senescence – To establish the presence of diastolic dysfunc;on in the SAM model – To evaluate fibrosis, and the role played by cardiac fibroblasts, as a cause of diastolic dysfunc;on – To examine the poten;al role played by oxida;ve stress in age-­‐associated diastolic dysfunc;on and ;ssue fibrosis in the SAM model
  • 16. Part I: The SAM model is a model of age-­‐related diastolic dysfunc;on
  • 17. Methods • Quan;ta;ve real-­‐;me PCR • Echocardiography • Invasive hemodynamics • Func;onal analysis of isolated cardiomyocytes • Telemetry
  • 18. SAMP8 mice show evidence of accelerated cardiac aging • p19 (ARF) is a tumor suppressor protein encoded by the INK4a/ ARF locus • p19 regulates the p53 pathway by influencing stability of p53 – p19 inhibits MDM2, which prevents MDM2 from targeting p53 for degradation • p19 plays dual roles in tumor suppression and senescence, since senescence requires activation of p53 • So, p19 is a marker of senescence and increased expression correlates with aging Reed et al., 2011 *p<0.05
  • 19. Heart and body weight data SAMR1 at 6 months (n=8) SAMP8 at 6 months (n=8) p value Body weight (g) 41.2 ± 1.3 42.6 ± 0.7 NS Heart weight (mg) 110.4 ± 1.9 120.1 ± 2.2 p<0.05 HW/BW 3.6 ± 0.1 3.7 ± 0.1 NS HW/tibial length 6.6 ± 0.1 7.0 ± 0.1 p <0.05 BW/tibial length 1.9 ± 0.04 1.9 ± 0.03 NS Based on the heart weight/tibial length ratio, it appears there is cardiac hypertrophy in SAMP8 mice by six months of age.
  • 20. Measurement of LV volume and func;on using echocardiography
  • 21. SAMP8 mice show no difference in cardiac structure or function at 3 or 6 months of age SAMR1 3 months old SAMP8 3 months old SAMR1 6 months old SAMP8 6 months old LVID;s (mm) 2.9 ± 0.07 2.7 ± 0.1 2.6 ± 0.07 2.6 ± 0.07 LVID;d (mm) 4.0 ± 0.05 4.0 ± 0.1 4.0 ± 0.06 4.0 ± 0.08 LV vol;s (mm) 32.3 ± 1.8 28.1 ± 2.8 25.1 ± 1.7 24.8 ± 1.7 LV vol;d (mm) 71.6 ± 2.2 70.9 ± 4.7 69.7 ± 2.3 70.5 ± 3.6 SV (μL) 39.3 ± 1.2 42.7 ± 2.7 44.5 ± 1.0 45.7 ± 2.2 EF (%) 55.0 ± 1.6 60.5 ± 2.0 64.3 ± 1.5 65.0 ± 1.2 FS (%) 28.3 ± 1.1 32.0 ± 1.4 34.7 ± 1.1 35.3 ± 0.8 Reed et al., 2011
  • 22. Doppler echocardiography for the assessment of diastolic func;on Zile et al., 2002
  • 23. SAMP8 mice display evidence of diastolic dysfunction at 6 months, but not 3 months, of age SAMR1 3 months old SAMP8 3 months old SAMR1 6 months old SAMP8 6 months old E/A 1.4 ± 0.03 1.4 ± 0.04 1.3 ± 0.03 1.2 ± 0.03 *§ E’ (mm/s) 28.1 ± 1.03 30.8 ± 2.0 25.7 ± 0.9 21.1 ± 0.8 § A’ (mm/s) 20.7 ± 0.9 20.8 ± 1.7 23.3 ± 0.8 25.8 ± 1.1 § E’/A’ 1.4 ± 0.03 1.4 ± 0.04 1.1 ± 0.02 § 0.8 ± 0.03 *§ *p<0.05 when comparison is made between SAMR1 and SAMP8 mice of the same age §p<0.05 when comparison is made between the same type of mice at 3 and 6 months of age Reed et al., 2011
  • 24. Invasive hemodynamics: pressure-­‐ volume loops Gaasch and Zile, 2004
  • 25. Invasive hemodynamics confirm diastolic dysfunction at 6 months of age SAMR1 6 months old SAMP8 6 months old LVESP (mmHg) 85.8 ± 3.4 79.5 ± 4.0 LVEDP (mmHg) 3.4 ± 0.3 5.6 ± 0.9* dP/dtmax (mmHg/sec) 8093 ± 721 7534 ± 788 dP/dtmin (mmHg/sec) -9138 ± 832 -9089 ± 1055 Tau-Glantz (ms) 8.5 ± 0.6 8.7 ± 0.7 Tau-Weiss (ms) 5.1 ± 0.3 5.7 ± 0.4 EDPVR (mmHg/μL) 0.5 ± 0.05 0.8 ± 0.1* ESPVR (mmHg/μL) 5.9 ± 0.6 7.9 ± 1.0 *p < 0.05 compared to SAMR1 Reed et al., 2011
  • 26. What are the mechanisms driving diastolic dysfunc;on? • Is is developing as a result of pressure over load and hypertension? • Is it driven by abnormal relaxa;on of cardiac myocytes? • Are there abnormali;es in metabolism or other organs that could be responsible? • Could cardiac fibrosis contribute to diastolic dysfunc;on?
  • 27. Diastolic dysfunction is unrelated to hypertension in the SAM model Mean arterial pressure and heart rate were measured in SAMR1 and SAMP8 mice from 3 to 6 months of age. No differences were found, suggesting that the diastolic dysfunction observed in this model is not secondary to hypertension. Reed et al., 2011
  • 28. Diastolic dysfunc;on is unrelated to cardiomyocyte contrac;on or relaxa;on Reed et al., 2011
  • 29. Metabolic profile of SAM mice SAMR1 SAMP8 p value (n=8) (n=8) Bicarbonate (mM) 18.6 ± 1.6 20.4 ± 1.4 NS Glucose (mg/dL) 251.1 ± 11.3 270.0 ± 8.4 NS BUN (mg/dL) 15.9 ± 0.5 17.8 ± 0.4 <0.05 Creatinine (mg/dL) 0.21 ± 0.01 0.20 ± 0.0 NS It seems unlikely that metabolic abnormali;es are driving the development of diastolic dysfunc;on in SAM mice.
  • 30. Right heart func;on is unaffected in SAM mice There are no differences between SAMR1 and SAMP8 mice in lung weight, RV/LV+S ra;o, or RVSP, indica;ng that diastolic dysfunc;on has not progressed to heart failure and that right heart func;on has not been affected.
  • 31. Conclusions • SAMP8 mice undergo accelerated senescence • SAMP8 mice develop diastolic dysfunc;on in the absence of systolic dysfunc;on by 6 months of age • Diastolic dysfunc;on does not result from hypertension, changes in cardiac myocytes, or metabolic abnormali;es
  • 32. Part II: Diastolic dysfunc;on is associated with fibrosis in the SAM model
  • 33. Aging, fibrosis, and cardiac disease Chen and Frangogiannis, 2010
  • 34. Methods • Histology • Quan;ta;ve real-­‐;me PCR • Western blot analysis • TGF-­‐β enzyme-­‐linked immunoassay (ELISA) • Cardiac fibroblast isola;on and culture • MTT cell prolifera;on assay • Amplex® Red H2O2 assay • Cardiac fibroblast response to TGF-­‐β
  • 35. Assessment of collagen: picrosirius red staining SAMR1 SAMP8 Using brightfield microscopy, SAMP8 mice show greater and more intense red staining, indicating collagen accumulation at 6 months of age compared to SAMR1 controls.
  • 36. SAMP8 mice display greater cardiac collagen deposition SAMP8 mice show greater collagen deposition in interstitial regions SAMP8 mice show greater collagen deposition in perivascular regions as well SAMR1 SAMR1 SAMP8 SAMP8 Reed et al., 2011
  • 37. Increased fibrosis observed using Masson’s trichrome staining SAMR1 SAMR1 SAMP8 SAMP8 Reed et al., 2011 *p<0.05
  • 38. Gene expression of ECM components is increased in SAMP8 mice *p<0.05 • Collagen 1A1 is the major component of scar tissue • Collagen 3 is commonly associated with collagen 1A1 • Fibronectin is an extracellular matrix protein which can bind to collagen • All three are associated with fibrosis Reed et al., 2011
  • 39. Signaling pathways leading to fibrosis • TGF-β is a cytokine implicated in fibroinflammatory changes – Fibroblast proliferation – Extracellular matrix production • Collagen • Fibronectin • TGF-β converts fibroblasts into myofibroblasts which play a role in organ remodeling and fibrosis • TGF-β can induce connective tissue growth factor (CTGF) – CTGF also promotes extracellular matrix synthesis • TGF-β and CTGF work synergistically and are associated with increased collagen and fibronectin expression Stimuli for cytokine production • Injury • Pressure overload • Neurohormonal activation TGF-β Cellular events • Type I and III collagen synthesis • Decreased proteases • Increased TGF-b1 autoinduction Cardiac events • Impaired contractility • Cardiac hypertrophy • Dilated cardiomyopathy • Myocardial fibrosis Adapted from Lim and Zhu, 2006
  • 40. Gene expression of pro-fibrotic cytokines is increased in SAMP8 mice *p<0.05 • TGF-β is a major pro-fibrotic cytokine that signals through the Smad pathway • Connective tissue growth factor (CTGF) is downstream of TGF-β and stimulates extracellular matrix remodeling • TGF-β and CTGF act synergistically to promote and maintain fibrosis • Fibronectin • Collagens 1A1 and 3A Reed et al., 2011
  • 41. The role of fibroblasts in fibrosis Roles of the cardiac fibroblast Sources of fibroblasts and myofibroblasts Souders et al., 2009
  • 42. MTT assay for fibroblast prolifera;on • There is no difference in cell proliferation of cardiac fibroblasts from SAMR1 vs. SAMP8 mice, so it seems that fibrosis is not due to increased proliferation. n=4, p NS
  • 43. Amplex red assay for H2O2 produc;on • There is no difference in hydrogen peroxide being released from cultured fibroblasts from SAMR1 vs. SAMP8 mice. n=4, p NS
  • 44. Gene expression of fibrosis markers in isolated cardiac fibroblasts p<0.05
  • 45. Conclusions • SAMP8 mice display inters;;al and perivascular cardiac fibrosis by 6 months of age • Gene expression of ECM proteins and pro-­‐ fibro;c cytokines is increased in SAMP8 hearts • Isolated cardiac fibroblasts from SAMP8 have a different response (decreased collagen 3A) in response to TGF-­‐β s;mula;on
  • 46. Part III: The role of oxida;ve stress in the SAM model
  • 47. Oxida;ve stress in SAMP mice • PBN administra;on increased lifespan and prevented protein oxida;on • Decreased respiratory control ra;o and greater metabolic uncoupling in liver and heart ;ssue • Increased electron leakage in brain ;ssue • Increased lipid peroxida;on in brain ;ssue accompanied by decreased SOD • Increased serum lipid peroxide level and changes indica;ve of atherosclerosis
  • 48. ROS and cardiac remodeling • MAPK ac;va;on leading to hypertrophy • Apoptosis • Modifica;on of proteins central to ECC • Ac;va;on of MMPs • Sources: – NADPH oxidases, XO, mitochondria, NOS • An;oxidants: – SOD, Gaps, catalase, thioredoxin Giordano, 2005
  • 49. Oxida;ve Stress and DD • In vitro, increased ROS depresses myocyte contrac;lity • Animal models of CHF have increased ROS (e.g. iron-­‐ overload cardiomyopathy) • An;oxidants can improve func;on in canine model • Mitochondrial dysfunc;on implicated in increased ROS Takimoto et al., 2007
  • 50. Methods • High-­‐performance liquid chromatography (HPLC) • Electron spin resonance (ESR) spectroscopy • Quan;ta;ve real-­‐;me PCR
  • 51. SAMP8 mice show evidence of oxidative stress in the blood This data suggests SAMP8 mice have increased oxidative stress in the blood (levels were unchanged in heart tissue) compared to SAMR1 mice at 6 months of age, and this may be related to changes in Nox proteins and/or antioxidant enzyme levels.
  • 52. SAMP8 mice have increased vascular oxida;ve stress The spin-­‐probe CMH was used to trap O2 •-­‐, which was then detected and quan;fied by ESR in aor;c samples from 6-­‐month-­‐old SAMR1 and SAMP8 mice. SAMP8 mice show increased aor;c O2 •-­‐ produc;on compared to SAMR1 controls at 6 months of age (n=4, p<0.05).
  • 53. SAMP8 mice show no difference in myocardial oxida;ve stress O2 •-­‐ was measured using HPLC analysis with DHE detec;on in cardiac samples from 6-­‐month-­‐old SAMR1 and SAMP8 mice. There was no difference in cardiac intracellular O2 •-­‐ between SAMR1 and SAMP8 mice at 6 months of age (n=8, p=ns).
  • 54. Do ROS play a role in the SAM model? • Why was superoxide increase in the blood and vasculature of SAMP8 mice but not the heart? • Is superoxide the most important ROS? • Are an;oxidants upregulated? • How might low levels of ROS impact signaling pathways?
  • 55. Nox2 and Nox4 gene expression is increased in SAMP8 mice However, Nox1 gene expression was unchanged.
  • 56. Several antioxidant enzymes are increased in SAMP8 mice However, MnSOD, Prx3, and Sirt1 gene expression were unchanged.
  • 57. Conclusions • SAMP8 mice show increased oxida;ve stress in the blood and vasculature • Gene expression of Nox2 and Nox4 is increased in the hearts of SAMP8 mice • Expression of catalase and GPX are also increased in the hearts of SAMP8 mice • It is plausible that an;oxidants largely compensate for increased ROS, and that H2O2 may be the most important ROS
  • 58. Final summary • SAMP8 mice display diastolic dysfunction at 6 months of age • SAMP8 mice have cardiac fibrosis, which is thought to result in diastolic dysfunction – Increased extracellular matrix components – Increased pro-fibrotic cytokines • Cardiac fibroblasts may contribute to the fibrotic process via their response to TGF-β • There are age-related changes in NADPH oxidase and antioxidant gene expression, suggesting a potential role for oxidative stress in age-associated fibrosis and diastolic dysfunction
  • 59. Central conclusion The SAM model is valuable for the study of age-related diastolic dysfunction and the mechanisms behind the fibrotic response that contributes to diastolic dysfunction.
  • 60. Future direc;ons • Measure TGF-­‐β receptor expression • Further elucidate the role of ROS • Examine the response of cardiac fibroblasts to ROS and other s;muli • Examine the role of angiotensin II in fibrosis and diastolic dysfunc;on • Inves;gate the role of immune-­‐inflammatory dysregula;on in promo;ng fibrosis • Explore vascular changes in the SAM model
  • 62. Thank you! • Sam and the Dudley lab – Gadi Silberman, Hong Liu, Euy-Myoung Jeong, and Megan Sturdy • Roy and the Sutliff lab – Erik Walp and Alex El-Ali • Dan and the Sorescu lab – Atsuko Tanaka and Josh Lovelock • Committee members – Mike Davis, Dave Harrison, and Kathy Griendling • VA 12th floor research group – Mike Hart, David Guidot, Tammy Murphy, Dean and Jen Kleinhenz • Division of Cardiology microscopy core • BioMarkers Core Laboratory • FRIMCORE