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European Society of Cardiology
ESC Congress 2012
Munich
M.Poulakis, C.Tsioufis, K.Dimitriadis, M.Giakoumis, L.Lioni, V.Tzamou, A.Kordalis, C.Stefanadis
First Cardiology Clinic, University of Athens, Hippokration
Hospital, Athens, Greece
LEVELS OF SOLUBLE RECEPTOR FOR
ADVANCED GLYCATION END-PRODUCTS ARE
RELATED WITH ARTERIAL STIFFENING,
ALBUMINURIA AND GLOMERULAR FILTRATION
RATE IN ESSENTIAL HYPERTENSIVE SUBJECTS
Presenter Disclosure Information
No relationships to disclose
AGEs, their receptor and the CV
system
result from non-enzymatic
reaction sugars-free amino of
intra-extra cellular proteins
accumulate through aging
depend on glucose levels
AGEs cental role in hypertension
pathogenesis and stiffening
Truncated isoform sRAGE detoxificates AGEs /microvascular protection and
remove inflammatory ligands (HMBG-1)
sRAGE administration prevent AGE-RAGE mediated injury
(Aronson D. J Hypertens 2003;21:3-12) (Zeiman J, et al. Drugs 2004;64:459-470)
(Paul RG, et al. Int J Biochem Cell Biol 1996; 28: 1297-1310) (Basta G, et al. Circulation 2002;105:816-822)
Enhance oxidative
stress / endothelial
dysfunction/ loss of
arterial elasticity by
collagen crosslinks its deposition occurs
also in euglycemia …and
(Yan SF, et al. Circ Res 2003;93:1159-1169)
(Yonekura H, et al. Biochem J 2003; 370:1097-1099)
non-diabetics with CHD
hypertensives
ESRD
CV mortality in ESRD
associations with
sRAGE and CV system: An emerging key receptor
Diverse mechanisms of oxidative stress-inflammation-stiffening
(Koyama, et al. ATVB 2007;27:147)
(Humpert , et al. Cardiovascular Diabetology 2007;6:9)
(Geroldi D, et al. J Hypertens 2005;23:1725)
sRAGE
“integrative
molecule of
vascular
health”
insulin sensitivity/abdominal obesity
CRP/PLT activation/ADMA
ACR in DM2/Pathogenesis of hypertension...
Lack of data on sRAGE correlates in hypertension
Urinary albumin excretion - Microalbuminuria:
New perspectives
Altered clinical positioning of UAE
Independent predictor of CVD:
non-diabetics Lancet 1988; 2: 530-533
elderly Hypertens Res 2003; 26 (8): 603-608
general population ArtThr Vasc Biol 1999; 19:
hypertensives JHH 2002; 16: 79-89
JNC VII Microalbuminuria: major risk
factor in EH
ESH 2007 Recommended lab test for
subclinical TOD assessment
Microalbuminuria, TOD and CVD risk
x2 predictive effect than conventional risk factors for IHD in
hypertensives (Hypertension 2000;35:898-903)
HOPE, Framingham Offspring study any degree of albuminuria CVD risk factor
without thresholds or plateaus (JAMA 2001; 286: 421-426)
(Arnlov J et a;. Circulation 2005;112:969)
MA is associated with indices of TOD in EH:
prevalence LVH AJH 1998; 11: 430-438
LV diastolic dysfunction AJH 2001; 14: 644-648
IMT Atherosclerosis 2002; 16: 161-166
Microalbuminuria and TOD in EH
our contribution
Unfavorable alterations of LV geometry
(concentric remodelling)(Tsioufis et al.J HH 2002; 16: 249-254)
Arterial stiffness (Tsioufis, et al. Nephron Clin Pract 2003; 93: 106-111)
(Tsioufis et al. Am J Cardiol 2000; 86: 797-801)
Low-grade inflammation and adiponectin (Tsioufis, Dimitriadis, et al. Am J Hypertens 2006; 19:462)
(Tsioufis, Dimitriadis, et al. Am J Cardiol 2005; 96:946)
“The interrelationships of microalbuminuria with the other surrogates of the atherosclerotic cardiovascular disease in hypertensive subjects”
Tsioufis C, Dimitriadis K, et al. Am J Hypertens 2004;17:470-476
GFR and CVD risk: Established knowledge and the effect of albuminuria
Recent K/DOQI and AHA statements: Estimating renal function in
CVD stratification and Tx (Am J Kindey Dis 2002;39:S1-266)
(Sarnak, et al. Circulation 3;108:2154-2169)
GFR predicts risk
(Astor B, et al. Am J Epidemiol 2008;167:1226)
Most studies
with MDRD
Correlates with
albuminuria
CVD pts, hypertensives and general population
NHANES III, 14586 US
adults/13 years follow-up
Albuminuria and Renal function interact
on CVD risk in hypertension
(Hypertension 2008; 115-122)
GFR and Artery Stiffness: The data so far
GFR inversely relates to aortic PWV in nondialysis-dependent renal insufficiency
(Wang MC, et al. Am J Kidney Dis 2005;45:494)
Hypertensives with mild renal dysfunction:
weak association GFR-stiffness of CA/not radial
(Mourad JJ, et al. Kidney Int 2001;59:18)
Most studies
with MDRD
Correlates with
albuminuria
305 hypertensives, free of CVD, renal
disease (Schillaci G, et al. Hypertension 2006;:48:616-621)
Carotid distensibility and
brachial artery in HOORN (Hermans
M, et al. J Am Soc Nephrol 2007;18:1942)
PWV in hypertension: Clinical status
and correlations with ACR
ACR in general population, hypertensives, DM, renal disease pts
(Smith A, et al. J Am Soc Nephrol 2005; 16: 1069) (Kohara K et al, Hypertens Res 2004; 27: 471)
Scarce data in untreated essential hypertension regarding ACR – GFR-PWV interrelationships (
PWV
Essential hypertensives Diabetics End-stage renal disease
Predicts outcome
(Blacher, et al. Kidney Int 2003;66)
(Laurent S, et al. Hypertension 2001;37: 12360)
Arterial stiffening
impairs buffering function of vascular system
systolic BP
LV mass
PURPOSE
To investigate the possible relationships
between sRAGE, arterial stiffness,
urinary albumin excretion, expressed as
the ACR and estimated GFR in essential
hypertensive subjects
Exclusion criteria
Secondary hypertension
Heart failure, atherosclerotic or valvular heart disease
Augmented serum creatinine concentration or overt proteinuria at
the dipstick test or renal failure (GFR<30 ml/min/1.73m2)
Atrial fibrillation, impulse conduction abnormalities
IFG, DM, familial dyslipidemia, and any other clinically significant
concurrent systemic disease
Tissue injury, chronic infection and inflammation or any medical
(such as antibiotics, antiplatelet, antinflammatory or hypolipidaemic
agents) or dental treatment over a period of 1 month before entry to
the study
Study participants
320 newly diagnosed untreated non-
diabetic patients with stage I to II essential
hypertension [192 men, mean age=52
years, office blood pressure (BP)=145/93
mmHg]
A/C estimation (quantitative assay-coefficient of variation of 2.8%)
2 non-
consecutive
morning
spot urine
samples
Procedures-
c-f PWV estimation
c-f PWV computerized method, by a
validated device (Complior SP®) online recording
and calculation of c-f PWV
Procedures-
c-f PWV estimation
…Transducers placed on the
common carotid and right
femoral artery –
2 different PWV tracings
recorded simultaneously
Time delay between rapid
upstroke of c-f artery pulse
waves
5 consecutive measurements
obtained and averaged
Procedures: Metabolic profile, SRAGE and GFR estimation
Venous blood sampling was performed from
the anticubital fossa between 8:00 AM and 9:00
AM.
sRAGE was assessed using a commercially
available solid-phase sandwich ELISA kit (R&D
Systems) with intra-assay and inter-assay
coefficients of variation of 4.8% and 8.2%
Estimated GFR (by the MDRD formula) - (ml/min/1.73m2) = 186 x (Creatinine)-1.154 x(age) -0.203 x (0.742 if female)x(1.210 in blacks)
Methods-Study participants
According sRAGE values hypertensives
were classified
Hypertensives
with high sRAGE
(n=156) (sRAGE1060.1 pg/ml)
Hypertensives
With low sRAGE
(n=164) (sRAGE<1060.1 pg/ml)
Statistical analysis
Mean values ± SD
Log transformation of skewed variables
Student independent-samples t-test or chi square
Stepwise multiple regression analysis
Analysis of variance for differences between study subgroups
Pearson correlations
All tests significant at the level of p<0.05 SPSS statistical package, release 12.0 (SPSS inc. Chicago.
Illinois, USA)
Demographic and clinical data
Parameters
Low sRAGE
(n=164)
High sRAGE
(n=156)
p
Age (yrs) 536 518 0.185
Males (%) 621 59 0.134
BMI (kg/m2) 29.72.9
27.12.5
<0.05
WHR
Smokers (%)
0.940.07
41
0.870.05
38
0.001
0.231
Off SBP (mmHg) 15115 14319 0.024
Off DBP (mmHg) 957 916 0.035
Off HR (bpm) 817 798 0.452
24h SBP (mmHg) 1398 1316 0.001
24h DBP (mmHg) 8210 797 0.045
24-h HR (bpm) 747 716 0.605
Echocardiographic and stiffness
data for study groups
Parameters
Low sRAGE
(n=164)
High sRAGE
(n=156)
p
LVMI (g/m2) 102.216.8 99.411.2 0.156
RWT 0.420.05 0.400.08 0.232
PWV (m/sec) 9.11.7 7.51.2 <0.0001
Laboratory data for the subgroups
Parameters
Low sRAGE
(n=164)
High sRAGE
(n=156) P
Hct (%) 42.43 42.44 0.863
Glucose (mg/dl) 883 875 0.763
Total chol (mg/dl) 21837 21839 0.897
TGL (mg/dl) 12668 12665 0.959
HDL(mg/dl) 5313 5313 0.717
LDL (mg/dl) 1432 14035 0.926
Renal function data for the
subgroups
Parameters
Low sRAGE (n=164)
High sRAGE (n=156)
p
Cr (mg/dl) 10.15 0.920.13 0.041
eGFR (ml/min/1.73m2) 65.97.2 92.69.1 0.03
ACR (mg/g) 50.5614.3
20.7515.5
<0.0001
Correlations in the entire
population
sRAGE was associated with:
Age (r=-0.312, p=0.001)
24-h SBP (r=-0.388, p<0.0001)
24-h pulse pressure (r=-0.371, p=0.001)
ACR (r=-0.274, p=0.019)
eGFR (r=0.236, p=0.03)
PWV (r=-0.401, p<0.0001)
Correlation of sRAGE
with log ACR
log
sRAGE
(pmol/l)
log ACR (mg/g)
r=0.075, p=0.02
0,00 0,50 1,00 1,50 2,00 2,50LOGACR
2,70
2,80
2,90
3,00
3,10
3,20
3,30
3,40
3,50
LOGRAG
E
R Sq Linear = 0,016
r=-0.274, p=0.019
Correlations in the entire
population
PWV was associated with:
Age (r=0.525, p<0.0001)
Waist (r=0.105, p=0.002)
Off SBP (r=0.242, p<0.0001)
LVMI (r=0.188, p<0.0001)
logACR (r=0.275, p=0.02)
Correlation of sRAGE
with PWV
log
sRAGE
(pmol/l)
PWV (m/sec)
r=0.075, p=0.02
r=-0.274, p=0.019
6,0 8,0 10,0 12,0PWV
2,70
2,80
2,90
3,00
3,10
3,20
3,30
3,40
3,50
LOGRAG
E
R Sq Linear = 0,042
r=-0.401, p<0.0001
Correlations in the entire
population
log ACR was associated with:
Age (r=0.097, p=0.004)
WHR (r=0.071, p=0.045)
Off SBP (r=0.137, p<0.0001)
eGFR (r=-0.074, p=0.03)
eGFR was associated with: Off PP (r=-0.118, p=0.001)
RWT (r=-0.092, p=0.007)
Total Chol (r=-0.121, p<0.0001)
Correlations in the entire
population
log ACR was associated with:
Age (r=0.097, p=0.004)
WHR (r=0.071, p=0.045)
Off SBP (r=0.137, p<0.0001)
eGFR (r=-0.074, p=0.03)
eGFR was associated with: Off PP (r=-0.118, p=0.001)
RWT (r=-0.092, p=0.007)
Total Chol (r=-0.121, p<0.0001)
Multiple linear regression analysis for
sRAGE values in the study population
Explanatory variables Unstandardized
beta coefficient
Standardized
beta coefficient
SE p
Age (years) 0.055 0.322 0.010 <0.0001
ACR (mg/g) 0.072 0.231 0.005 <0.0001
BMI (kg/m2) 0.451 0.144 0.102 <0.0001
24-h SBP (mmHg) 0.016 0.190 0.008 <0.0001
PWV (m/sec) 0.007 0.095 0.003 0.032
Intercept 1.340 0.685 0.005
Overall p-value<0.0001
R2=0.57
Adjusted R2=0.51
Variables excluded from the model were waist/hip, 24-h
DBP, glucose, lipids and eGFR
Limitations
Cross-sectional nature of the study
Exclusion of CVD and diabetic pts
Single measurement of sRAGE/ detection system cannot discriminate between different splice variants esRAGE
Single measurement of eGFR (not use of Cockroft-Gault formula)
Variations in creatinine production (muscle mass etc)
Augmentation index not estimated for a more integrated approach to stiffness
Unrecognized factors associated with arterial stiffening
No estimation of RAGE ligands: circulating AGEs, HMBG-1
Untreated, middle-aged patients referred to outpatient unit
Strength: ABPM determination of hemodynamic load
Pathophysiological and clinical
perspectives
Estimation of sRAGE adds clinical information in hypertensives-elucidates the albuminuria/PWV/eGFR-related CVD risk
sRAGE ACR/PWV bi-directional pathophysiology?
Progression and maintenance of hypertension by AGE?
ACR and PWV along with hemodynamic load were independent prognosticators of sRAGE (accounting age, sex, body size, and metabolic profile) underscores its potential clinical correlation with TOD
Evaluate the exact role of agents that prevent AGE formation and break crosslinks
sRAGE reflects pronounced vascular and renal
dysfunction in the early stages of hypertension
Conclusions
In essential hypertension, decreased sRAGE levels are
associated with increased PWV, pronounced
albuminuria and impairment of renal function
Moreover, the close relation of sRAGE with arterial
stiffening, ACR and eGFR, supports the potent role of
sRAGE in renal and vascular atherosclerotic disease
progression
Thank you