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Aging, frailty and complex networks

Mitnitski, A. B., Rutenberg, A. D., Farrell, S., Rockwood, K.·2017·Biogerontology
DOI 10.1007/s10522-017-9684-x
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Abstract

When people age their mortality rate increases exponentially, following Gompertz's law. Even so, individuals do not die from old age. Instead, they accumulate age-related illnesses and conditions and so become increasingly vulnerable to death from various external and internal stressors. As a measure of such vulnerability, frailty can be quantified using the frailty index (FI). Larger values of the FI are strongly associated with mortality and other adverse health outcomes. This association, and the insensitivity of the FI to the particular health variables that are included in its construction, makes it a powerful, convenient, and increasingly popular integrative health measure. Still, little is known about why the FI works so well. Our group has recently developed a theoretical network model of health deficits to better understand how changes in health are captured by the FI. In our model, health-related variables are represented by the nodes of a complex network. The network has a scale-free shape or "topology": a few nodes have many connections with other nodes, whereas most nodes have few connections. These nodes can be in two states, either damaged or undamaged. Transitions between damaged and non-damaged states are governed by the stochastic environment of individual nodes. Changes in the degree of damage of connected nodes change the local environment and make further damage more likely. Our model shows how age-dependent acceleration of the FI and of mortality emerges…

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Research works printed but not linked: 74

  1. Arbeev KG, Ukraintseva SV, Akushevich I, Kulminski AM, Arbeeva LS, Akushevich L et al (2011) Age trajectories of physiological indices in relation to healthy life course. Mech Ageing Dev 132:93–102 · DOI
  2. Arias E (2014) United States life tables, 2010. Natl Vital Stat Rep 63:1–63
  3. Avraam D, de Magalhaes JP, Vasiev B (2013) A mathematical model of mortality dynamics across the lifespan combining heterogeneity and stochastic effects. Exp Gerontol 48:801–811 · DOI
  4. Barabasi AL, Albert R (1999) Emergence of scaling in random networks. Science 286:509–512 · DOI · Paper page
  5. Bennett S, Song X, Mitnitski A, Rockwood K (2013) A limit to frailty in very old, community-dwelling people: a secondary analysis of the Chinese longitudinal health and longevity study. Age Ageing 42:372–377 · DOI
  6. Blokh D, Stambler I (2016) The application of information theory for the research of aging and aging-related diseases. Prog Neurobiol. doi: 10.1016/j.pneurobio.2016.03.005 · DOI
  7. Budovsky A, Abramovich A, Cohen R, Chalifa-Caspi V, Fraifeld V (2007) Longevity network: construction and implications. Mech Ageing Dev 128:117–124 · DOI
  8. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K (2013) Frailty in elderly people. Lancet 381:752–762 · DOI · Paper page
  9. Clegg A, Bates C, Young J, Ryan R, Nichols L, Ann Teale E et al (2016) Development and validation of an electronic frailty index using routine primary care electronic health record data. Age Ageing 45:353–360 · DOI
  10. Farrell S, Mitnitski AB, Rockwood K, Rutenberg A (2016) Network model of human aging: frailty limits and information measures. Phys Rev E 94:052409 · DOI
  11. Fried LP, Tangen CM, Walston J et al (2001) Frailty in older adults: evidence for a phenotype. J Gerontol A 56:M146–M156 · DOI · Paper page
  12. Fulop T, Larbi A, Witkowski JM, McElhaney J, Loeb M, Mitnitski A et al (2010) Aging, frailty and age-related diseases. Biogerontology 11:547–563 · DOI
  13. Gavrilov LA, Gavrilova NS (2001) The reliability theory of aging and longevity. J Theor Biol 213:527–545 · DOI · Paper page
  14. Gavrilov LA, Gavrilova NS (2002) Evolutionary theories of aging and longevity. Sci World J 2:339–356 · DOI
  15. Gavrilov LA, Gavrilova NS (2006) Reliability theory of aging and longevity. In: Masoro EJ, Austad SN (eds) Handbook of the Biology of Aging, 6th edn. Elsevier Academic Press, Cambridge
  16. Ghiassian SD, Menche J, Chasman DI, Giulianini F, Wang R, Ricchiuto P et al (2016) Endophenotype network models: common core of complex diseases. Sci Rep 6:27414 · DOI
  17. Gobbens RJ, van Assen MA, Luijkx KG, Wijnen-Sponselee MT, Schols JM (2010) The Tilburg Frailty Indicator: psychometric properties. J Am Med Dir Assoc 11:344–355 · DOI
  18. Gu D, Dupre ME, Sautter J, Zhu H, Liu Y, Yi Z (2009) Frailty and mortality among Chinese at advanced ages. J Gerontol B 64:279–289 · DOI
  19. Guaraldi G, Brothers TD, Zona S, Stentarelli C, Carli F, Malagoli A et al (2015) A frailty index predicts survival and incident multimorbidity independent of markers of HIV disease severity. AIDS 29:1633–1641 · DOI
  20. Hajizadeh M, Mitnitski A, Rockwood K (2016) Socioeconomic gradient in health in Canada: is the gap widening or narrowing? Health Policy 120:1040–1050 · DOI
  21. Hidalgo CA, Blumm N, Barabási AL, Christakis NA (2009) A dynamic network approach for the study of human phenotypes. PLoS Comput Biol 5:e1000353 · DOI
  22. Howlett SE, Rockwood MR, Mitnitski A, Rockwood K (2014) Standard laboratory tests to identify older adults at increased risk of death. BMC Med 12:171 · DOI
  23. Hubbard RE, Peel NM, Smith M, Dawson B, Lambat Z, Bak M et al (2015) Feasibility and construct validity of a Frailty index for patients with chronic kidney disease. Australas J Ageing 34:E9–E12 · DOI
  24. Kirkwood TB (2015) Deciphering death: a commentary on Gompertz (1825) ‘on the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies’. Philos Trans R Soc Lond B 370:20140379 · DOI
  25. Kowald A, Kirkwood TB (2016) Can aging be programmed? A critical literature review. Aging Cell. 15:986–998 · DOI
  26. Kulminski A, Ukraintseva SV, Akushevich I, Arbeev KG, Land K, Yashin AI (2007) Accelerated accumulation of health deficits as a characteristic of aging. Exp Gerontol 42:963–970 · DOI
  27. Kulminski AM, Kernogitski Y, Culminskaya I, Loika Y, Arbeev KG, Bagley O et al (2016) Uncoupling associations of risk alleles with endophenotypes and phenotypes: insights from the ApoB locus and heart-related traits. Aging Cell. 16:61–72 · DOI
  28. Louwers L, Schnickel G, Rubinfeld I (2016) Use of a simplified frailty index to predict Clavien 4 complications and mortality after hepatectomy: analysis of the National Surgical Quality Improvement Project database. Am J Surg 211:1071–1076 · DOI
  29. Manton KG, Stallard E, Woodbury MA, Dowd JE (1994) Time-varying covariates in models of human mortality and aging: multidimensional generalizations of the Gompertz. J Gerontol 49:B169–B190 · DOI
  30. Mercer TR, Gerhardt DJ, Dinger ME, Crawford J, Trapnell C, Jeddeloh JA et al (2011) Targeted RNA sequencing reveals the deep complexity of the human transcriptome. Nat Biotechnol 30:99–104 · DOI
  31. Milne EM (2008) The natural distribution of survival. J Theor Biol 255:223–236 · DOI
  32. Mitnitski A, Rockwood K (2015) Aging as a process of deficit accumulation: its utility and origin. Interdiscip Top Gerontol 40:85–98 · DOI · Paper page
  33. Mitnitski A, Rockwood K (2016) The rate of aging: the rate of deficit accumulation does not change over the adult life span. Biogerontology 17:199–204 · DOI · Paper page
  34. Mitnitski A, Bao L, Rockwood K (2006) Going from bad to worse: a stochastic model of transitions in deficit accumulation, in relation to mortality. Mech Ageing Dev 127:490–493 · DOI
  35. Mitnitski A, Song X, Rockwood K (2012) Trajectories of changes over twelve years in the health status of Canadians from late middle age. Exp Gerontol 47:893–899 · DOI
  36. Mitnitski A, Song X, Rockwood K (2013) Assessing biological aging: the origin of deficit accumulation. Biogerontology 14:709–717 · DOI · Paper page
  37. Mitnitski A, Collerton J, Martin-Ruiz C, Jagger C, von Zglinicki T, Rockwood K et al (2015) Age-related frailty and its association with biological markers of ageing. BMC Med 13:161 · DOI
  38. Mitnitski A, Howlett SE, Rockwood K (2016) Heterogeneity of human aging and its assessment. J Gerontol A. doi: 10.1093/gerona/glw089 · DOI
  39. Moghtadaei M, Jansen HJ, Mackasey M, Rafferty SA, Bogachev O, Sapp JL et al (2016) The impacts of age and frailty on heart rate and sinoatrial node function. J Physiol 594:7105–7126 · DOI
  40. Pan Q, Shai O, Lee LJ, Frey BJ, Blencowe BJ (2008) Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing. Nat Genet 40:1413–1415 · DOI · Paper page
  41. Parks RJ, Fares E, Macdonald JK, Ernst MC, Sinal CJ, Rockwood K et al (2012) A procedure for creating a frailty index based on deficit accumulation in aging mice. J Gerontol A 67:217–227 · DOI
  42. Promislow DE (2004) Protein networks, pleiotropy and the evolution of senescence. Proc Biol Sci 271:1225–1234 · DOI
  43. Rattan SI (2013) Healthy ageing, but what is health? Biogerontology 14:673–677 · DOI
  44. Rockwood K, Mitnitski A (2006) Limits to deficit accumulation in elderly people. Mech Ageing Dev 127:494–496 · DOI
  45. Rockwood K, Mitnitski A (2007) Frailty in relation to the accumulation of deficits. J Gerontol A 62:722–727 · DOI · Paper page
  46. Rockwood K, Mogilner A, Mitnitski A (2004) Changes with age in the distribution of a frailty index. Mech Ageing Dev 125:517–519 · DOI
  47. Rockwood K, Mitnitski A, Song X, Steen B, Skoog I (2006) Long-term risks of death and institutionalization of elderly people in relation to deficit accumulation at age 70. J Am Geriatr Soc 54:975–979 · DOI · Paper page
  48. Rockwood K, Andrew M, Mitnitski A (2007) A comparison of two approaches to measuring frailty in elderly people. J Gerontol A 62:738–743 · DOI · Paper page
  49. Rockwood K, Song X, Mitnitski A (2011) Changes in relative fitness and frailty across the adult lifespan: evidence from the Canadian National Population Health Survey. CMAJ 183:E487–E494 · DOI
  50. Rockwood MR, MacDonald E, Sutton E, Rockwood K, Baron M, Canadian Scleroderma Research Group (2014) Frailty index to measure health status in people with systemic sclerosis. J Rheumatol 41:698–705 · DOI
  51. Schoufour JD, Mitnitski A, Rockwood K, Hilgenkamp TI, Evenhuis HM, Echteld MA (2014) Predicting disabilities in daily functioning in older people with intellectual disabilities using a frailty index. Res Dev Disabil 35:2267–2277 · DOI
  52. Searle SD, Mitnitski A, Gahbauer EA, Gill TM, Rockwood K (2008) A standard procedure for creating a frailty index. BMC Geriatr 8:24 · DOI · Paper page
  53. Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–423 · DOI · Paper page
  54. Song X, Mitnitski A, Rockwood K (2014) Age-related deficit accumulation and the risk of late-life dementia. Alzheimers Res Ther 6:54 · DOI
  55. Steinsaltz D, Mohan G, Kolb M (2012) Markov models of aging: theory and practice. Exp Gerontol 47:792–802 · DOI
  56. Strehler BL, Mildvan AS (1960) General theory of mortality and aging. Science 132:14–21 · DOI · Paper page
  57. Tacutu R, Budovsky A, Fraifeld VE (2010) The NetAge database: a compendium of networks for longevity, age-related diseases and associated processes. Biogerontology 11:513–522 · DOI
  58. Taneja S, Mitnitski AB, Rockwood K, Rutenberg AD (2016) Dynamical network model for age-related health deficits and mortality. Phys Rev E 93:022309 · DOI
  59. Theou O, Brothers TD, Rockwood MR, Haardt D, Mitnitski A, Rockwood K (2013b) Exploring the relationship between national economic indicators and relative fitness and frailty in middle-aged and older Europeans. Age Ageing 42:614–619 · DOI
  60. Theou O, Brothers TD, Peña FG, Mitnitski A, Rockwood K (2014) Identifying common characteristics of frailty across seven scales. J Am Geriatr Soc 62:901–906 · DOI · Paper page
  61. Ukraintseva S, Yashin AI, Arbeev KG (2016) Resilience versus robustness in aging. J Gerontol A 71:1533–1534 · DOI
  62. Vaupel JW, Manton KG, Stallard E (1979) The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16:439–454 · DOI · Paper page
  63. Vaupel JW, Carey JR, Christensen K, Johnson TE, Yashin AI, Holm NV et al (1998) Biodemographic trajectories of longevity. Science 280:855–860 · DOI · Paper page
  64. Velanovich V, Antoine H, Swartz A, Peters D, Rubinfeld I (2013) Accumulating deficits model of frailty and postoperative mortality and morbidity: its application to a national database. J Surg Res 183:104–110 · DOI
  65. Vural DC, Morrison G, Mahadevan L (2014) Aging in complex interdependency networks. Phys Rev E 89:022811 · DOI
  66. Vural DC, Isakov A, Mahadevan L (2015) The organization and control of an evolving interdependent population. J R Soc Interface 12:20150044 · DOI
  67. Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393:440–442 · DOI · Paper page
  68. Whitehead JC, Hildebrand BA, Sun M, Rockwood MR, Rose RA, Rockwood K et al (2014) A clinical frailty index in aging mice: comparisons with frailty index data in humans. J Gerontol A 69:621–632 · DOI
  69. Wolfson M, Budovsky A, Tacutu R, Fraifeld V (2009) The signaling hubs at the crossroad of longevity and age-related disease networks. Int J Biochem Cell Biol 41:516–520 · DOI
  70. Yanai H, Budovsky A, Tacutu R, Barzilay T, Abramovich A, Ziesche R et al (2016) Tissue repair genes: the TiRe database and its implication for skin wound healing. Oncotarget 7:21145–21155 · DOI
  71. Yashin AI, Manton KG, Vaupel JW (1985) Mortality and aging in a heterogeneous population: a stochastic process model with observed and unobserved variables. Theor Popul Biol 27:154–175 · DOI
  72. Yashin AI, Arbeev KG, Akushevich I, Kulminski A, Ukraintseva SV, Stallard E et al (2012) The quadratic hazard model for analyzing longitudinal data on aging, health, and the life span. Phys Life Rev 9:177–188 · DOI
  73. Young AC, Glaser K, Spector TD, Steves CJ (2016) The identification of hereditary and environmental determinants of frailty in a cohort of UK twins. Twin Res Hum Genet 19:600–609 · DOI
  74. Zeng A, Song X, Dong J, Mitnitski A, Liu J, Guo Z et al (2015) Mortality in relation to frailty in patients admitted to a specialized geriatric intensive care unit. J Gerontol A 70:1586–1594 · DOI · Paper page

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Metadata

Authors
Mitnitski, A. B., Rutenberg, A. D., Farrell, S., & Rockwood, K.
Venue
Biogerontology
Publisher
Springer Science and Business Media LLC
Published
2017-03-02
Volume
18
Issue
4
Pages
433-446
ISSN
  • 1389-5729
  • 1573-6768
DOI
10.1007/s10522-017-9684-x
Cited by
118
References
6
Language
en
Licence
www.springer.com/tdm (unspecified)
Funders
  • Nova Scotia Health Authority Research Fund
  • Natural Science and Engineering Research Council of Canada (RGPIN-2014-06245)
  • CGSM Fellowship
  • Dalhousie Medical Research Foundation (CA)

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