Skip to main content
Log in

A systems analysis of age-related changes in some cardiac aging traits

  • Research Article
  • Published:
Biogerontology Aims and scope Submit manuscript

Abstract

Aging process or senescence affects the expression of a wide range of phenotypic traits throughout the life span of organisms. These traits often show modular, synergistic, and even antagonistic relationships, and are also influenced by genomic, developmental, physiological and environmental factors. The cardiovascular system (CVS) in humans represents a major modular system in which the relationships among physiological, anatomical and morphological traits undergo continuous remodeling throughout the life span of an individual. Here we extend the concept of developmental plasticity in order to study the relationships among 14 traits measured on 3,412 individuals from the Framingham Heart Study cohort, relative to age and gender, using exploratory structural equation modeling—a form of systems analysis. Our results reveal differing patterns of association among cardiac traits in younger and older persons in both sexes, indicating that physiological and developmental factors may be channeled differentially in relation to age and gender during the remodeling process. We suggest that systems approaches are necessary in order to understand the coordinated functional relationships among traits of the CVS over the life course of individuals.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Abdelhafiz A (2013) Epidemiology of heart disease. In: Stott DJ, Lowe DO (eds) Pathy’s principles and practice of geriatric medicine. Wiley, London

    Google Scholar 

  • Ahmad F, Seidman JG, Seidman CE (2005) The genetic basis for cardiac remodeling. Annu Rev Genomics Hum Genet 6:185–216

    CAS  PubMed  Google Scholar 

  • Aronne LJ (2012) Obesity as a disease: etiology, treatment, and management considerations for the obese patient. Obes Res 10:95S–96S

    Google Scholar 

  • Asparouhov T, Muthén B (2009) Exploratory structural equation modeling. Struct Equ Model 16:397–438

    Google Scholar 

  • Barker DJP (1998) Mothers, babies and health in later life, 2nd edn. Churchill and Livingstone, Edinburgh

    Google Scholar 

  • Barzilai N, Bartke A (2009) Biological approaches to mechanically understand healthy life span extension achieved by calorie restriction and modulation of hormones. J Gerontol A 64:187–191

    Google Scholar 

  • Bateson P, Gluckman P (2011) Plasticity, robustness, development and evolution. Cambridge, Cambridge

    Google Scholar 

  • Bauml MA, Underwood DA (2010) Left ventricular hypertrophy: an overlooked cardiovascular risk factor. Cleve Clin J Med 77(6):381–387

    PubMed  Google Scholar 

  • Bentler PM (1990) Comparative fit indexes in structural models. Psychol Bull 107:238–246

    CAS  PubMed  Google Scholar 

  • Bentler PM, Dudgeon P (1996) Covariance structure analysis: statistical practice, theory, and directions. Annu Rev Psychol 47:563–592

    CAS  PubMed  Google Scholar 

  • Blom G (1958) Statistical estimates and transformed beta-variables. Wiley, New York

    Google Scholar 

  • Brown DW, Giles WH, Croft JB (2000) Left ventricular hypertrophy as a predictor of coronary heart disease mortality and the effect of hypertension. Am Heart J 140:848–856

    CAS  PubMed  Google Scholar 

  • Browne MW, Cudek R (1993) Alternative ways of assessing model fit. In: Bollen KA, Long JS (eds) Testing structural equation models. Sage, Beverly Hills

    Google Scholar 

  • Burggren WW, Reyna KS (2011) Developmental trajectories, critical windows and phenotypic alteration during cardio-respiratory development. Respir Physiol Neurobiol 178(1):13–21

    PubMed  Google Scholar 

  • Byars SG (2013) Commentary: haldanes and trends in phenotypic change in humans. Int J Epidemiol. doi:10.1093/ije/dys245

    PubMed  Google Scholar 

  • Byars SG, Ewbank D, Govindaraju DR, Stearns SC (2010) Colloquium papers: natural selection in a contemporary human population. Proc Natl Acad Sci USA 107(Suppl 1):1787–1792

    CAS  PubMed Central  PubMed  Google Scholar 

  • Carey JP (2003) Longevity: the biology an demography of lifespan. Princeton University Press, Princeton

    Google Scholar 

  • Carnes BA, Witten TM (2013) How long must humans live? J Gerontol 41:793

    Google Scholar 

  • Caspi A, Roberts BW, Shiner RL (2005) Personality development: stability and change. Annu Rev Psychol 56:453–484

    PubMed  Google Scholar 

  • Caswell H (2009) Stage, age and individual stochasticity in demography. Oikos 118:1763–1782

    Google Scholar 

  • Charlesworth B (1980) Evolution in age-structured populations. Cambridge University Press, Cambridge

    Google Scholar 

  • Charlesworth B (2000) Fisher, Medawar, Hamilton and the evolution of aging. Genetics 156(3):927–931

    CAS  PubMed Central  PubMed  Google Scholar 

  • Chen R, Mias GI, Li-Pook-Than J, Jiang L, Lam HY, Miriami E, Karczewski KJ, Hariharan M, Dewey FE, Cheng Y, Clark MJ, Im H, Habegger L, Balasubramanian S, O’Huallachain M, Dudley JT, Hillenmeyer S, Haraksingh R, Sharon D, Euskirchen G, Lacroute P, Bettinger K, Boyle AP, Kasowski M, Grubert F, Seki S, Garcia M, Whirl-Carrillo M, Gallardo M, Blasco MA, Greenberg PL, Snyder P, Klein TE, Altman RB, Butte AJ, Ashley EA, Gerstein M, Nadeau KC, Tang H, Snyder M (2012) Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell 148(6):1293–1307

    CAS  PubMed Central  PubMed  Google Scholar 

  • Cheng S, Vasan RS (2011) Advances in the epidemiology of heart failure and left ventricular remodeling. Circulation 124(20):e516–e519

    PubMed Central  PubMed  Google Scholar 

  • Cohen JE (2009) Human population: the next half century. Science 302:1172–1175

    Google Scholar 

  • D’Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, Kannel WB (2008) General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation 117(6):743–753

    PubMed  Google Scholar 

  • Dai DF, Rabinovitch PS (2009) Cardiac aging in mice and humans: the role of mitochondrial oxidative stress. Trends Cardiovasc Med 19(7):213–220

    CAS  PubMed Central  PubMed  Google Scholar 

  • Dawber TR, Meadors GF, Moore FE Jr (1951) Epidemiological approaches to heart disease: the Framingham study. Am J Public Health Nations Health 41(3):279–281

    CAS  PubMed Central  PubMed  Google Scholar 

  • Dingemanse NJ, Kazem AJ, Reale D, Wright J (2010) Behavioural reaction norms: animal personality meets individual plasticity. Trends Ecol Evol 25(2):81–89

    PubMed  Google Scholar 

  • Dunst CJ, Hamby DW, Brookfield J (2007) Modeling the effect of childhood intervention variables on parents and family well-being. J Appl Quant Methods 2:268–288

    Google Scholar 

  • Falconer DS (1952) The problem of environment and selection. Am Nat 86:292–298

    Google Scholar 

  • Ferrari AU, Radaelli A, Centola M (2003) Invited review: aging and the cardiovascular system. J Appl Physiol 95(6):2591–2597

    PubMed  Google Scholar 

  • Finch C (1990) Longevity, senescence and the genome. University of Chicago, Chicago

    Google Scholar 

  • Finch C (2007) The biology of human longevity: inflammation, nutrition, and aging in the evolution of lifespans. Academic Press, Burlington

    Google Scholar 

  • Fisher LD, Van Belle G (2004) Biostatistics: a methodology for the health sciences. Wiley, New York

    Google Scholar 

  • Flynn JM, O’Leary MN, Zambataro CA, Academia EC, Presley MP, Garrett BJ, Zykovich A, Mooney SD, Strong R, Rosen CJ, Kapahi P, Nelson MD, Kennedy BK, Melov S (2013) Late life rapamycin treatment reverses age-related heart dysfunction. Aging Cell. doi:10.1111/acel.12109

    Google Scholar 

  • Friedewald WT, Levy RI, Fredrickson DS (1972) Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18(6):499–502

    CAS  PubMed  Google Scholar 

  • Galvani AP, Slatkin M (2004) Intense selection in an age-structured population. Proc R Soc B 271:171–176

    PubMed Central  PubMed  Google Scholar 

  • Glezerman M (2010) Foreword: gender specific medicine environment and biology. Principles of gender specific medicine. Elsevier, London

    Google Scholar 

  • Gluckman PD, Hanson MA (2007) Developmental plasticity and human disease: research directions. J Intern Med 261:461–471

    CAS  PubMed  Google Scholar 

  • Gluckman PD, Hanson MA, Spencer HG, Bateson P (2005) Environmental influences during development and their consequences for health and disease: Implications for the interpretation of empirical studies. Proc R Soc B 272:671–677

    PubMed Central  PubMed  Google Scholar 

  • Gluckman PD, Hanson MA, Low FM (2011) The role of developmental plasticity and epigenetics in human health. Birth Defects Res C 93(1):12–18

    CAS  Google Scholar 

  • Govindaraju DR, Cupples LA, Kannel WB, O’Donnell CJ, Atwood LD, D’Agostino RB, Fox CS, Larson M, Levy D, Murabito J, Vasan RS, Splansky GL, Wolf PA, Benjamin EJ (2008) Genetics of the Framingham Heart Study population. Adv Genet 62:33–65

    PubMed Central  PubMed  Google Scholar 

  • Grace JB (2006) Structural equation modeling and natural systems. Cambridge University Press, Cambridge

    Google Scholar 

  • Horiuchi S (ed) (2006) Causes of death among the oldest—old: age-related changes in the cause-of-death distribution. Human logevity, individual life duration and the growth of the oldest-old population. Springer, New York

    Google Scholar 

  • Houle D, Govindaraju DR, Omholt S (2010) Phenomics: the next challenge. Nat Rev Genet 11(12):855–866

    CAS  PubMed  Google Scholar 

  • Huang C, Xiong C, Kornfeld K (2004) Measurements of age-related changes of physiological processes that predict lifespan of Caenorhabditis elegans. Proc Natl Acad Sci USA 101(21):8084–8089

    CAS  PubMed Central  PubMed  Google Scholar 

  • Hughes KA, Charlesworth B (1994) A genetic analysis of senescence in Drosophila. Nature 367:64–66

    CAS  PubMed  Google Scholar 

  • Ito MK, McGowan MP, Moriarty PM (2011) Management of familial hypercholesterolemias in adult patients: recommendations from the National Lipid Association Expert Panel on Familial Hypercholesterolemia. J Clin Lipidol 5(3 Suppl):S38–S45

    PubMed  Google Scholar 

  • Jones JH (2009) The force of selection on the human life cycle. Evol Hum Behav 30(5):305–314

    PubMed Central  PubMed  Google Scholar 

  • Kannel WB, D’Agostino RB (1995) The importance of cardiovascular risk factors in the elderly. Am J Geriatr Cardiol 4(2):10–23

    PubMed  Google Scholar 

  • Kannel WB, Feinleib M, McNamara PM, Garrison RJ, Castelli WP (1979) An investigation of coronary heart disease in families. The Framingham offspring study. Am J Epidemiol 110(3):281–290

    CAS  PubMed  Google Scholar 

  • Karavidas A, Lazaros G, Tsiachris D, Pyrgakis V (2010) Aging and the cardiovascular system. Hellenic J Cardiol 51(5):421–427

    PubMed  Google Scholar 

  • Khattar RS, Swales JD, Dore C, Senior R, Lahiri A (2001) Effect of aging on the prognostic significance of ambulatory systolic, diastolic, and pulse pressure in essential hypertension. Circulation 104(7):783–789

    CAS  PubMed  Google Scholar 

  • Kirkwood TB (2011) Systems biology of ageing and longevity. Philos Trans R Soc Lond B 366(1561):64–70

    Google Scholar 

  • Kline RB (ed) (2012) Assumptions in structural equation modeling. Gulford, New York

    Google Scholar 

  • Kline RB (ed) (2013) Exploratory and confirmatory factor analysis. Applied quantitative analysis in the social sciences. Rouledge, New York

    Google Scholar 

  • Kreiger N, Chen JT, Waterman PD, Kosheleva A, Beckfield J (2012) History, haldanes and health inequities: exploring phenotypic changes in body size by generation and income level in the US-born White and Black non-Hispanic populations 1959–1962 to 2005–2008. Int J Epidemiol 41:000

    Google Scholar 

  • Kuh D, Ben-Shlomo Y, Lynch J, Hallqvist J, Power C (2003) Life course epidemiology. J Epidemiol Community Health 57(10):778–783

    CAS  PubMed Central  PubMed  Google Scholar 

  • Lakatta EG (2002) Age-associated cardiovascular changes in health: impact on cardiovascular disease in older persons. Heart Fail Rev 7(1):29–49

    PubMed  Google Scholar 

  • Lakatta EG (2003) Arterial and cardiac aging: major shareholders in cardiovascular disease enterprises: Part III: cellular and molecular clues to heart and arterial aging. Circulation 107(3):490–497

    PubMed  Google Scholar 

  • Leips J, Gilliagan P, Mackay TFC (2006) Quantitative trait loci with age-specific effects on fecundity in Drosophila melanogaster. Genetics 172:1595–1605

    CAS  PubMed Central  PubMed  Google Scholar 

  • Li CC (1975) Path analysis: a primer. Boxwood, Pacific Grove

    Google Scholar 

  • Liao JK, Laufs U (2005) Pleiotropic effects of statins. Annu Rev Pharmacol Toxicol 45:89–118

    CAS  PubMed Central  PubMed  Google Scholar 

  • Lieberman DE, McBratney BM, Krovitz G (2002) The evolution and development of cranial form in Homosapiens. Proc Natl Acad Sci USA 99(3):1134–1139

    CAS  PubMed Central  PubMed  Google Scholar 

  • Lloyd-Jones DM, Wang TJ, Leip EP, Larson MG, Levy D, Vasan RS, D’Agostino RB, Massaro JM, Beiser A, Wolf PA, Benjamin EJ (2004) Lifetime risk for development of atrial fibrillation: the Framingham Heart Study. Circulation 110(9):1042–1046

    PubMed  Google Scholar 

  • Lynch M (1988) Path analysis of ontogenetic data. In: Ebenman B, Person L (eds) Size-structured populations. Springer, Berlin

    Google Scholar 

  • Marsh HW, Muthén B, Asparouhov T, Lüdtke O, Robitzsch A, Morin AJ, Trautwein US (2009) Exploratory structural equation modeling, integrating CFA and EFA: application to students’ evaluations of university teaching. Struct Equ Model 16:439–476

    Google Scholar 

  • Marsh HW, Nagengast B, Morin AJS (2012) Measurement invariance of big five factors over the life span: ESEM tests of gender, age, plasticity, maturity and La Dolce vita effects. Dev Psychol 49:1194

    PubMed  Google Scholar 

  • Medland S, Neale MC (2009) An integrated phenomic approach to multivariate allelic association. Eur J Hum Genet 18:233–239

    PubMed Central  PubMed  Google Scholar 

  • Milot E, Mayer FM, Nussey DH, Boisvert M, Pelletier F, Reale D (2011) Evidence for evolution in response to natural selection in a contemporary human population. Proc Natl Acad Sci USA 108(41):17040–17045

    CAS  PubMed Central  PubMed  Google Scholar 

  • Moczek AP, Sultan S, Foster S, Ledon-Rettig C, Dworkin I, Nijhout HF, Abouheif E, Pfennig DW (2011) The role of developmental plasticity in evolutionary innovation. Proc Biol Sci 278(1719):2705–2713

    PubMed Central  PubMed  Google Scholar 

  • Moller AP (1997) Stress, developmental stability and sexual selection. EXS 83:255–268

    CAS  PubMed  Google Scholar 

  • Morin AJS, Marsh HW, Nagengast B (2013) Exploratory structural equation modeling. In: Hancock GR, Mueller RO (eds) Structural equation modeling: a second course. Information Age, Charlotte

    Google Scholar 

  • Nadeau JH, Burrage LC, Restivo J, Pao YH, Churchill G, Hoit BD (2003) Pleiotropy, homeostasis, and functional networks based on assays of cardiovascular traits in genetically randomized populations. Genome Res 13(9):2082–2091

    CAS  PubMed Central  PubMed  Google Scholar 

  • Nijland MJ, Ford SP, Nathanielsz PW (2008) Prenatal origins of adult disease. Curr Opin Obstet Gynecol 20(2):132–138

    PubMed  Google Scholar 

  • Nochajski SM (ed) (2000) The impact of age-related changes on the functioning of older adults with developmental disabilities. Developmental disability: current research, programming, and practice implications. The Haworth Press Inc., Binghamton

    Google Scholar 

  • Okin PM, Devereux RB, Jern S, Kjeldsen SE, Julius S, Nieminen MS, Snapinn S, Harris KE, Aurup P, Edelman JM, Wedel H, Lindholm LH, Dahlof B (2004) Regression of electrocardiographic left ventricular hypertrophy during antihypertensive treatment and the prediction of major cardiovascular events. JAMA 292(19):2343–2349

    CAS  PubMed  Google Scholar 

  • Olivetti G, Giordano G, Corradi D, Melissari M, Lagrasta C, Gambert SR, Anversa P (1995) Gender differences and aging: effects on the human heart. J Am Coll Cardiol 26(4):1068–1079

    CAS  PubMed  Google Scholar 

  • O’Rourke MF, Hashimoto J (2007) Mechanical factors in arterial aging: a clinical perspective. J Am Coll Cardiol 50(1):1–13

    PubMed  Google Scholar 

  • Partridge L (2010) The new biology of aging. Philos Trans R Soc B 365:147–154

    Google Scholar 

  • Partridge L, Barton NH (1993) Optimality, mutation and the evolution of aging. Nature 362:305–311

    CAS  PubMed  Google Scholar 

  • Perlman RL (2013) Evolution and medicine. Oxford University Press, Oxford

    Google Scholar 

  • Pi-Sunyer FX (2012) The obesity epidemic: pathophysiology and consequences of obesity. Obesity 10:97S–104S

    Google Scholar 

  • Polak M, Tomkins JL (2013) Developmental selection against developmental instability: a direct demonstration. Biol Lett 9(2):20121081

    PubMed  Google Scholar 

  • Roeters van Lennep JE, Waesterveld HT, Erkelens DW, van der Wall EE (2002) Risk factors for coronary heart disease: implications of gender. Cardiovasc Res 53:538–549

    CAS  PubMed  Google Scholar 

  • Roff DA (2007) Contributions of genomics to life-history theory. Nat Rev Genet 8:116–125

    CAS  PubMed  Google Scholar 

  • Rosamond W, Flegal K, Furie K, Go A, Greenlund K, Haase N, Hailpern SM, Ho M, Howard V, Kissela B, Kittner S, Lloyd-Jones D, McDermott M, Meigs J, Moy C, Nichol G, O’Donnell C, Roger V, Sorlie P, Steinberger J, Thom T, Wilson M, Hong Y (2008) Heart disease and stroke statistics–2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation 117(4):e25–e146

    PubMed  Google Scholar 

  • Sayer AA, Barker D (2002) The early environment, developmental plasticity and aging. Rev Clin Gerontol 12:205–211

    Google Scholar 

  • Snell-Rood EC, Van Dyken JD, Cruickshank T, Wade MJ, Moczek AP (2010) Toward a population genetic framework of developmental evolution: the costs, limits, and consequences of phenotypic plasticity. BioEssays 32(1):71–81

    CAS  PubMed Central  PubMed  Google Scholar 

  • Snoke MS, Promislow DE (2003) Quantitative genetic tests of recent senescence theory: age specific mortality and male fertility in Drosophila mealnogaster. Heredity 91:546–556

    CAS  PubMed  Google Scholar 

  • Soltow QA, Jones DP, Promislow DE (2010) A network perspective on metabolism and aging. Integr Comp Biol 50(5):844–854

    PubMed Central  PubMed  Google Scholar 

  • Stamler J, Vaccaro O, Neaton JD, Wentworth D (1993) Diabetes, other risk factors, and 12-yr cardiovascular mortality for men screened in the multiple risk factor intervention trial. Diabetes Care 16(2):434–444

    CAS  PubMed  Google Scholar 

  • Stearns SC (1989) The evolutionary significance of phenotypic plasticity. Bioscience 39:436–445

    Google Scholar 

  • Stearns SC, Allal CN, Mace R (2008) Life history theory and human development. In: Krebs D (ed) Foundations of evolutionary psychology. Psychology, New York

    Google Scholar 

  • Stearns SC, Byars SG, Govindaraju DR, Ewbank D (2010) Measuring selection in contemporary human populations. Nat Rev Genet 11(9):611–622

    CAS  PubMed  Google Scholar 

  • Stearns SC, Govindaraju DR, Ewbank D, Byars SG (2012) Constraints on the coevolution of contemporary human males and females. Proc Biol Sci 279:4836–4844

    PubMed Central  PubMed  Google Scholar 

  • Stengard JH, Dyson G, Frikke-Schmidt R, Tybjaerg-Hansen A, Nordestgaard BG, Sing CF (2010) Context-dependent associations between variation in risk of ischemic heart disease and variation in the 5′ promoter region of the apolipoprotein E gene in Danish women. Circ Cardiovasc Genet 3(1):22–30

    CAS  PubMed Central  PubMed  Google Scholar 

  • Strehler BL (1959) Origin and comparison of the effects of time and high-energy radiations on living systems. Q Rev Biol 34(2):117–142

    CAS  PubMed  Google Scholar 

  • Swynghedauw B (2006) Phenotypic plasticity of adult myocardium: molecular mechanisms. J Exp Biol 209(Pt 12):2320–2327

    CAS  PubMed  Google Scholar 

  • Vaupel JW, Manton KG, Stallard E (1979) The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16(3):439–454

    CAS  PubMed  Google Scholar 

  • Vijg J (2007) Aging of the Genome: the dual role of the DNA in life an death. Oxford University Press, Oxford

    Google Scholar 

  • Wachter KW, Evans SN, Steinsaltz D (2013) The age-specific force of natural selection and biodemographic walls of death. Proc Natl Acad Sci USA 110(25):10141–10146

    CAS  PubMed Central  PubMed  Google Scholar 

  • Wagner GP (1996) Homologues, natural kinds and the evolution of modularity. Integr Comp Biol 36:36–43

    Google Scholar 

  • Wagner GP, Pavlicev M, Cheverud JM (2007) The road to modularity. Nat Rev Genet 8(12):921–931

    CAS  PubMed  Google Scholar 

  • Wei JY (1992) Age and the cardiovascular system. N Engl J Med 327(24):1735–1739

    CAS  PubMed  Google Scholar 

  • Williams GC (1957) Pleiotropy, natural selection and the evolution of senescence. Evolution 11:398–411

    Google Scholar 

  • Wright S (1921) Correlation and causation. J Agric Res 20:557–585

    Google Scholar 

  • Wright S (1934) The method of path coefficients. Ann Math Stat 5:161–215

    Google Scholar 

  • Yamada Y (1962) Genotype by environment interaction and genetic correlation of the same trait under different environments. Jpn J Genet 37:498–509

    Google Scholar 

  • Zheng L, Sun Z, Li J, Zhang R, Zhang X, Liu S, Xu C, Hu D, Sun Y (2008) Pulse pressure and mean arterial pressure in relation to ischemic stroke among patients with uncontrolled hypertension in rural areas of China. Stroke 39(7):1932–1937

    PubMed  Google Scholar 

Download references

Acknowledgments

DRG thanks the National Evolutionary Synthesis Center (NESCent) for supporting a working group and its members for discussions; Drs. Vasan and Norris for suggestions at the inception of the study; Dr. Khrapko for logistical support. DRG, KP and DSR analyzed the data, and DRG wrote the paper. DRG is grateful to Dr. Richard Jones for his generous help with the ESEM analysis, and to Drs. C. Goodnight, M. Larson, A. Moczek, S. Raj, S. Robins and the reviewers for helpful suggestions. JM and RD’A facilitated data acquisition and financial support for KP.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. R. Govindaraju.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 294 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Govindaraju, D.R., Pencina, K.M., Raj, D.S. et al. A systems analysis of age-related changes in some cardiac aging traits. Biogerontology 15, 139–152 (2014). https://doi.org/10.1007/s10522-013-9486-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10522-013-9486-8

Keywords

Navigation