EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 36 / No 12 (Décembre 2020) Med Sci (Paris), 36 12 (2020) 1173-1180 References
Open Access
Issue
Med Sci (Paris)
Volume 36, Number 12, Décembre 2020
Vieillissement et mort : de la cellule à l’individu
Page(s) 1173 - 1180
Section Vieillissement physiologique et pathologique
DOI https://doi.org/10.1051/medsci/2020224
Published online 09 December 2020
  1. Medvedev ZA. An Attempt at a rational classification of theories of ageing. Biol Rev 1990 ; 65 : 375–398. [CrossRef] [Google Scholar]
  2. McHugh D, Gil J. Senescence and aging: causes, consequences, and therapeutic avenues. J Cell Biol 2018 ; 217 : 65–77. [CrossRef] [PubMed] [Google Scholar]
  3. Piedrafita G, Keller MA, Ralser M. The impact of non-enzymatic reactions and enzyme promiscuity on cellular metabolism during (oxidative) stress conditions. Biomolecules 2015 ; 5 : 2101–2122. [CrossRef] [PubMed] [Google Scholar]
  4. Beckman KB, Ames BN. Mitochondrial aging: open questions. Ann NY Acad Sci 1998 ; 854 : 118–127. [CrossRef] [Google Scholar]
  5. Teissier T, Boulanger E. The receptor for advanced glycation end-products (RAGE) is an important pattern recognition receptor (PRR) for inflammaging. Biogerontology 2019 ; 20 : 279–301. [CrossRef] [PubMed] [Google Scholar]
  6. Sergiev PV, Dontsova OA, Berezkin GV. Theories of aging: an ever-evolving field. Acta Naturae 2015 ; 7 : 9–18. [CrossRef] [PubMed] [Google Scholar]
  7. Ghimire S, Hill CV, Sy FS, et Rodriguez R. Decline in telomere length by age and effect modification by gender, allostatic load and comorbidities in national health and nutrition examination survey (1999–2002). PLoS One 2019; 14 : e0221690. [CrossRef] [Google Scholar]
  8. Jin K.. Modern biological theories of aging. Aging Dis 2010 ; 1 : 72–74. [PubMed] [Google Scholar]
  9. Valiathan R, Ashman M, Asthana D. Effects of ageing on the immune system: infants to elderly. Scand J Immunol 2016 ; 83 : 255–266. [CrossRef] [PubMed] [Google Scholar]
  10. Tissenbaum HA. Using C. elegans for aging research. Invertebr Reprod Dev 2015; 59 : 59–63. [CrossRef] [PubMed] [Google Scholar]
  11. Litke R, Boulanger E, Fradin C. Caenorhabditis elegans, un modèle d’étude du vieillissement. Med Sci (Paris) 2018 ; 34 : 571–579. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  12. Lepilina A, Coon NA, Kikuchi K, et al. A Dynamic epicardial injury response supports progenitor cell activity during zebrafish heart regeneration. Cell 2006 ; 127 : 607–619. [CrossRef] [PubMed] [Google Scholar]
  13. Hickey AJR, Jüllig M, Aitken J, et al. Birds and longevity: does flight driven aerobicity provide an oxidative sink?. Ageing Res Rev 2012 ; 11 : 242–253. [CrossRef] [PubMed] [Google Scholar]
  14. Swindell WR. Dietary restriction in rats and mice: a meta-analysis and review of the evidence for genotype-dependent effects on lifespan. Ageing Res Rev 2012 ; 11 : 254–270. [CrossRef] [PubMed] [Google Scholar]
  15. Friedberg EC, Meira LB. Database of mouse strains carrying targeted mutations in genes affecting biological responses to DNA damage Version 7. DNA Repair 2006 ; 5 : 189–209. [CrossRef] [PubMed] [Google Scholar]
  16. Edrey YH, Hanes M, Pinto M, et al. Successful aging and sustained good health in the naked mole rat: a long-lived mammalian model for biogerontology and biomedical research. ILAR J 2011 ; 52 : 41–53. [CrossRef] [PubMed] [Google Scholar]
  17. Mitchell SJ, Scheibye-Knudsen M, Longo DL, de Cabo R. Animal models of aging research: implications for human aging and age-related diseases. Annu Rev Anim Biosci 2015 ; 3 : 283–303. [CrossRef] [PubMed] [Google Scholar]
  18. Carmona JJ, Michan S. Biology of healthy aging and longevity. Rev Investig Clin Organo Hosp Enfermedades Nutr 2016 ; 68 : 7–16. [Google Scholar]
  19. Fleming T, Watkins AJ, Velazquez MA, et al. Origins of lifetime health around the time of conception: causes and consequences. Lancet 2018 ; 391 : 1842–1852. [CrossRef] [PubMed] [Google Scholar]
  20. Shonkoff JP, Richter L, van der Gaag J, Bhutta ZA. An integrated scientific framework for child survival and early childhood development. Pediatrics 2012 ; 129 : e460–e472. [CrossRef] [PubMed] [Google Scholar]
  21. Batsis JA, Villareal DT. Sarcopenic obesity in older adults: aetiology, epidemiology and treatment strategies. Nat Rev Endocrinol 2018 ; 14 : 513–537. [CrossRef] [PubMed] [Google Scholar]
  22. Park DC, Reuter-Lorenz P. The adaptive brain: aging and neurocognitive scaffolding. Annu Rev Psychol 2009 ; 60 : 173–196. [CrossRef] [PubMed] [Google Scholar]
  23. Mattson MP, Arumugam TV. Hallmarks of brain aging: adaptive and pathological modification by metabolic states. Cell Metab 2018 ; 27 : 1176–1199. [CrossRef] [PubMed] [Google Scholar]
  24. Verdú E, Ceballos D, Vilches JJ, Navarro X. Influence of aging on peripheral nerve function and regeneration. J Peripher Nerv Syst 2000 ; 5 : 191–208. [CrossRef] [PubMed] [Google Scholar]
  25. Meschiari CA, Ero OK, Pan H, et al. The impact of aging on cardiac extracellular matrix. GeroScience 2017 ; 39 : 7–18. [CrossRef] [PubMed] [Google Scholar]
  26. Mahler DA, Rosiello RA, Loke J. The aging lung. Clin Geriatr Med 1986 ; 2 : 215–225. [CrossRef] [PubMed] [Google Scholar]
  27. Griffith KA, Sherrill DL, Siegel EM, et al. Predictors of loss of lung function in the elderly: the Cardiovascular Health Study. Am J Respir Crit Care Med 2001 ; 163 : 61–68. [CrossRef] [PubMed] [Google Scholar]
  28. Soenen S, Rayner CK, Jones KL, Horowitz M. The ageing gastrointestinal tract. Curr Opin Clin Nutr Metab Care 2016 ; 19 : 12–18. [CrossRef] [PubMed] [Google Scholar]
  29. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001 ; 56 : M146–M156. [CrossRef] [PubMed] [Google Scholar]
  30. Cesari M, Gambassi G, van Kan GA, Vellas B. The frailty phenotype and the frailty index: different instruments for different purposes. Age Ageing 2014 ; 43 : 10–12. [CrossRef] [PubMed] [Google Scholar]
  31. Theou O, Brothers TD, Mitnitski A, Rockwood K. Operationalization of frailty using eight commonly used scales and comparison of their ability to predict all-cause mortality. J Am Geriatr Soc 2013 ; 61 : 1537–1551. [CrossRef] [PubMed] [Google Scholar]
  32. Bouchon JP. 1 + 2 + 3. Comment être efficace en gériatrie. Rev Prat 1984 ; 34 : 888–892. [Google Scholar]
  33. Collard RM, Boter H, Schoevers RA. Oude Voshaar RC. Prevalence of frailty in community-dwelling older persons: a systematic review. J Am Geriatr Soc 2012 ; 60 : 1487–1492. [CrossRef] [PubMed] [Google Scholar]
  34. Epstein AM, Hall JA, Besdine R, et al. The emergence of geriatric assessment units. The new technology of geriatrics. Ann Intern Med 1987 ; 106 : 299–303. [CrossRef] [PubMed] [Google Scholar]
  35. Rubenstein LZ, Stuck AE, A. Siu L, Wieland D. Impacts of geriatric evaluation and management programs on defined outcomes: overview of the evidence. J Am Geriatr Soc 1991; 39 : 8S–16S; discussion S17–8. [CrossRef] [PubMed] [Google Scholar]
  36. Mailliez A, Guibaud A, Puisieux F, et al. Circulating biomarkers characterizing physical frailty: CRP, hemoglobin, albumin, 25OHD and free testosterone as best biomarkers. Results of a meta-analysis. Exp Gerontol 2020; 139 : 111014. [CrossRef] [PubMed] [Google Scholar]
  37. Matyas N, Aschenberger FK, Wagner G, et al. Continuing education for the prevention of mild cognitive impairment and Alzheimer’s-type dementia: a systematic review and overview of systematic reviews. BMJ Open 2019 ; 9 : e027719. [CrossRef] [PubMed] [Google Scholar]
  38. Franceschi C, Passarino G, Mari D, Monti D. Centenarians as a 21st century healthy aging model: A legacy of humanity and the need for a world-wide consortium (WWC100+). Mech Ageing Dev 2017 ; 165 : 55–58. [CrossRef] [PubMed] [Google Scholar]
  39. Barzilai N, Crandall JP, Kritchevsky SB, Espeland MA. Metformin as a tool to target aging. Cell Metab 2016 ; 23 : 1060–1065. [CrossRef] [PubMed] [Google Scholar]
  40. Campisi J, Kapahi P, Lithgow GJ, et al. From discoveries in ageing research to therapeutics for healthy ageing. Nature 2019 ; 571 : 183–192. [CrossRef] [PubMed] [Google Scholar]
  41. Gan KJ, Südhof TC. Specific factors in blood from young but not old mice directly promote synapse formation and NMDA-receptor recruitment. Proc Natl Acad Sci USA 2019 ; 116 : 12524–12533. [CrossRef] [Google Scholar]
  42. Holmes DJ, Ottinger MA. Birds aslong-lived animal models for the study of aging. Exp Gerontol 2003 ; 38 : 1365–1375. [CrossRef] [PubMed] [Google Scholar]
  43. Lapasset L, Milhavet O, Prieur A, et al. Rejuvenating senescent and centenarian human cells by reprogramming through the pluripotent state. Genes Dev 2011 ; 25 : 2248–2253. [CrossRef] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.