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Peter M Nilsson, MD, PhD Department of Clinical Sciences University Hospital, Malmö Sweden Summer School, Athens, 3rd July 2010 Hellenic Atherosclerosis Society Increase in CAD, Hypertension, CHF, stroke Increased exposure to risk factors Changes in the vessel wall Increasing Age Najjaret al. Hypertension 2005; 46:454-462.
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EarlyEarly VascularVascular AgeingAgeing (EVA) (EVA) syndromesyndrome–– couldcould it be it be defineddefined??
Peter M Nilsson, MD, PhDDepartment of Clinical Sciences
University Hospital, MalmöSweden
Summer School, Athens, 3rd July 2010Hellenic Atherosclerosis Society
Age and cardiovascular disease• Age - a greater risk factor than traditional risk factors• Age-related changes in vascular structure and function,
in association with metabolic disturbances, are likely to be responsible for increased cardiovascular risk
Najjar et al. Hypertension 2005; 46:454-462.
Increase in CAD, Hypertension, CHF,
stroke
Increased exposure to risk factors
Changes in the vessel wall
Increasing Age
IntermediateLesion
Minamino T, Circ Res 2007;100;15-26
Early Vascular Ageing (EVA): Early Vascular Ageing (EVA): Atherosclerosis and arterial stiffeningAtherosclerosis and arterial stiffening
FoamCells
FattyStreak Atheroma
FibrousPlaque
ComplicatedLesion/Rupture
Endothelial Dysfunction
From First Decade From Third Decade From Fourth Decade
Growth of the Lipid CoreSmooth
Muscle and Collagen
Thrombosis
Nilsson PM, et al. J Hypertens 2008, Hypertension 2009
Core characteristics of EVA
• Arteriosclerosis• Arterial stiffness: PWV ↑ , Aix ↑, central BP ↑
• Endothelial dysfunction• NO deficiency, dysfunction, local inflammation
• Atherosclerosis• Imaging (IMT, plaque), biomarkers
Nilsson PM, et al. Hypertension 2009
Laurent, S. et al. Eur Heart J 2006 27:2588-2605.
Measurement of carotid-femoral PWV with the foot to foot method
EVA definitions – Three options
• No definition needed– EVA is only a model for (dynamic) thinking about
CV risk, beyond Framingham, SCORE and the Metabolic syndrome
EVA definitions – Three options
• No definition needed– EVA is only a model for (dynamic) thinking about
CV risk
• Outside normal range of PWV– Define outliers (+ 2SD) of PWV distribution
The Reference Values for Arterial Stiffness' Collaboration.Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors: 'establishing normal and reference values'. Eur Heart J. 2010 Jun 7. [Epub ahead of print]
Normal values for pulse wave velocityaverage according to age (1455 healthy NT subjects)
Eur Heart J 2010;eurheartj.ehq165Laurent S, et al, for a Collaborative Group
NT = normotensives (out of a total 16,867 subjects from 8 European countries)
Pulse wave velocity (PWV) vs. age and MBP
Eur Heart J 2010;eurheartj.ehq165
Reference values for pulse wave velocity (PWV): mean values according to age and blood pressure (BP) categories (11 092 subjects)
Eur Heart J 2010;eurheartj.ehq165
PWV distribution and age in Malmö
• Population-based screening study in elderly subjects; mean 70 years (Malmo Diet Cancer Re-exam Study)
• Sphygmocor for PWV measurement in 2380 subjects
• Elevated PWV ( �12 m/s) för men (M) and women (W) in different age-ranges (quartiles of age distribution):
– 62-67 years: 10.2% (M: 15.1, W: 6.7)– 68-72 years: 17.2% (M: 20.5, W: 14.9)– 73-77 years: 31.7% (M: 38.3, W: 27.8)– 78-84 years: 41.2% (M: 42.4, W: 40.1)
Nilsson P, Östling G, 2010
PWV and risk prediction• Two new studies based on meta-analysis
• 17 studies, 15,877 subjects. Pooled RRs for high-risk category were:– CV events RR 2.26 (95%CI: 1.89-2.70)– CV mortality RR 2.02 (95%CI: 1.68-2.42)– All-cause mortality RR 1.90 (95%CI: 1.61-2.24)
• Vlachopoulos C, et al. J Am Coll Cardiol 2010; 55:1318-27
• 12 studies, 15,220 subjects, 1779 combined events, analysis based on individual data– CV events HR 1.27 for 1 SD– CHD HR 1.19 for 1 SD– Stroke HR 1.25 for 1 SD
• McEniery C, et al. Abstract, ESH XX Meeting, Oslo 17-21 June 2010
EVA definitions – Three options
• No definition needed– EVA is only a model for (dynamic) thinking about CV risk
• Outside normal range of PWV– Define outliers (+ 2SD) of PWV distribution
• The unexplained component of PWV– What remains after full adjustment for conventional risk
factors (age, gender, blood pressure, lipids, smoking, glucose, etc.) in multiple regression analysis
Put EVA to the test!
• Genetics of arterial stiffness and EVA– Do genetic markers also predict CV events?
• Reversibility of arterial stiffness– Possible with or without BP reduction?
• New drugs for vascular protection– AT2 agonists, endothelial modulators,
incretins (GIP, GLP-1), etc.
DPP-4=dipeptidyl peptidase-4; T2DM=type 2 diabetes mellitusAdapted from Unger RH. Metabolism. 1974; 23: 581–593. Ahrén B. Curr Enzyme Inhib. 2005; 1: 65–73.
↑ Insulin
↓ Glucagon
Improved glycemic control
Incretin activity
prolonged
Improved islet function
DPP-4 inhibitor
↓ Insulin
↑ Glucagon
HyperglycemiaIncretin
response diminished
Further impaired islet function
T2DM
Blocking DPP-4 Can Improve Incretin Activity and Correct the Insulin:Glucagon Ratio in T2DM
New studies with incretins for evaluation of CV prevention
• Randomised controlled trials
• TECOS – sitagliptin (2009)• SAVOR – saxagliptin (2010)• CAROLINA – linagliptin (2010)• LEADER - liraglutide (2010)
• Observational study
• EDGE - vildagliptin (2009)
PN 2010
Future directions – EVA in translation
• Understanding
• Translational Research
• Prevention
Future directions (1)
• Understanding
– Epidemiological studies in different populations
– Molecular biogerontology(www.whyweage.eu)
– Glucose metabolism and EVA (www.diamap.eu)
- A research network across Europe, aiming for writing backgrounddocuments for future EU Research calls and funding.
- Final meeting held in Brussels on 17-19th May 2010.
- Increasing interest shown in telomere biology, e.g. in relationto cellular senescence and vascular ageing.
www.whyweage.eu HEALTH-F4-2008-200970 Dec 1st 2008 - May 30th 2010
Increased Thickness and Cellularity of the Human Intima with Aging
Courtesy of E.Lakatta, NIH, USA
Local Aortic Wall Angiotensin Signaling Components Increase with Aging in Humans
AC
EA
ngII
L
M
L
M
L
M
L
M
L
M
L
M
AT1
Courtesy of E.Lakatta, NIH, USA
Ang II
AT1 r
ACE
Young Old
AT-1 and ACE in the Human Aortic Media Increase with Aging
Young Old
Courtesy of E.Lakatta, NIH, USA
Future directions (2)
• Translational research
– Genetics, telomere biology– Mechanisms– New drug targets
Telomere length has been associated with cardiovascular risk – but not in a constant way
• Smoking• Obesity• Arterial stiffness• Oxidative stress• Diabetes mellitus, type 1 and type 2
• Atherosclerotic plaques• Aortic aneurysm• Intima media thickness• Left ventricular mass (LVM)• Coronary artery disease
Nordfjäll K, et al. 2008
Shorter telomeres in plaques in Shorter telomeres in plaques in art. art. carotiscarotis
Hypertension 2004;43:182
Association between IMTcc (cm) and quartiles of LTL after adjusting for age, sex, smoking in pack-years, diabetes, hypertension, T-Chol and BMI in men and women
Leukocyte telomere length is associated with measuresof subclinical atherosclerosis
Panayiotou AG, et al. Atherosclerosis. 2010 Feb 4 - online
”Our data show that patients with AAA have shorter leukocyte telomerelength compared to controls. This suggests that vascular biological agingmay have a role in the pathogenesis of AAA”.
Abdominal Aortic Aneurysm (AAA)
Atturu G, et al. Eur J Vasc Endovasc Surg. 2010 May;39(5):559-64.
T/S means and standard deviation in 272 subjects: CTR, Type2DM and Type2DM + MI. p < 0.01 One-way analysis of variance adjusted for age and gender, F = 34.37, df = 2, p = 0.005.
Olivieri F, et al. Atherosclerosis. 2009 Oct;206:588-93
Telomere length in patients with DM2 and myocardial infarction
Telomere attrition is associated with markers of cardiovascular ageing – the
Malmo Diet Cancer Study
Peter Nilsson, Disa Dahlman, Göran Roos, Olle Melander, et al.
Lund and Umeå University2010
Preliminary analyses!
Malmo Diet Cancer –CV cohort
• Baseline examination in 1992-1996 (n= 6050)
• MI cases and matched controls (n= 710)
• Re-exam in 2007-2009 (n= 353)
• Telomere length determination in 750 at baseline and in 333 subjects at follow-up after mean 15 years
• Lab: q-PCR for LTL, as used at Umeå Lab, Dept. of Pathology (Göran Roos)
PN 2010
Baseline 1992-1996
Follow-up in 2007-2009
15 year´s follow-up
Δ z-score for telomere length changes
Results
• Increased Z-score Δ changes (reflecting telomere attrition) was associated with:
– History of myocardial infarction (prevalent or incident)
– Treatment with anti-hypertensive drugs (a marker of long-standing hypertension)
– Pulse pressure at baseline (a marker of arterial stiffness)
• These entities are markers of cardiovascular ageing
PN 2010
Telomeres and CVD - many unresolved questions
Organisation Committee: Peter M Nilsson, Annika Dejmek, Göran Roos, et al
Future directions (3)
• Prevention
– Lifestyle– Drug treatment– Control of ageing?
Summary
• Early vascular ageing (EVA) is a useful concept for new understanding of vascular disease progression and increased CV risk
• Definitions of EVA are still preliminary and should be further evaluated, as well as the association with changes in telomere biology
• New drugs are under development for vascular protection, besides traditional BP lowering drugs
PN 2010