Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

The translation of age-related body composition findings from rodents to humans

Abstract

The objective of this review is to highlight changes in body composition in rodent models as a result of healthy aging in order to enhance translational research. Aging is associated with alterations in body composition, particularly fat mass and fat-free mass, which may be accompanied by adverse health effects, especially nearing middle age to old age. In humans, it is generally understood that fat mass tends to increase while fat-free mass concurrently declines with aging. However, the effect of aging on body composition in rodent models is less well studied, and how these changes compare and contrast with observations in humans has not yet been fully elucidated. Though, it appears as though the constituent-level alterations occur in humans and rodents at different life phases thereby having a potential effect on the outcomes of basic biomedical research. Though highly strain-dependent, this review suggests that FM changes begin at a much earlier life phase in rodents than in humans. Conversely, FFM appears to increase throughout middle age and into old age in rodents, whereas middle age is associated with the initiation the subsequent decline of FFM in humans. Given the essentiality of rodent models in basic biomedical research, careful consideration of these differences in age-related BC findings is imperative when the research is aimed for human translation.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Xu T, Liu J, Liu J, Zhu G, Han S. Relation between metabolic syndrome and body compositions among Chinese adolescents and adults from a large-scale population survey. BMC Public Health. 2017;17:337.

    Article  Google Scholar 

  2. Solanki JD, Makwana AH, Mehta HB, Gokhale PA, Shah CJ. Body composition in type 2 diabetes: change in quality and not just quantity that matters. Int J Prev Med. 2015;6:122.

    Article  Google Scholar 

  3. Purcell SA, Elliott SA, Kroenke CH, Sawyer MB, Prado CM. Impact of body weight and body composition on ovarian cancer prognosis. Curr Rep. 2016;18:1–11.

    Article  CAS  Google Scholar 

  4. Schols AM, Broekhuizen R, Weling-Scheepers CA, Wouters EF. Body composition and mortality in chronic obstructive pulmonary disease. Am J Clin Nutr. 2005;82:53–9.

    Article  CAS  Google Scholar 

  5. Nicholls D, Wells JC, Singhal A, Stanhope R. Body composition in early onset eating disorders. Eur J Clin Nutr. 2002;56:857–65.

    Article  CAS  Google Scholar 

  6. Prior BM, Cureton KJ, Modlesky CM, Evans EM, Sloniger MA, Saunders M, et al. In vivo validation of whole body composition estimates from dual-energy X-ray absorptiometry. J Appl Physiol. 1997;83:623.

    Article  CAS  Google Scholar 

  7. Nagy TR, Clair AL. Precision and accuracy of dual-energy X-ray absorptiometry for determining in vivo body composition of mice. Obes Res. 2000;8:392–8.

    Article  CAS  Google Scholar 

  8. Judex S, Luu YK, Ozcivici E, Adler B, Lublinsky S, Rubin CT. Quantification of adiposity in small rodents using micro-CT. Methods. 2010;50:14–9.

    Article  CAS  Google Scholar 

  9. Baulain U. Magnetic resonance imaging for the in vivo determination of body composition in animal science. Comput Electron Agric. 1997;17:189–203.

    Article  Google Scholar 

  10. Tidhar W, Speakman J. An evaluation of four non-destructive methods for predicting body composition in a small rodent. Int J Body Compos Res. 2007;5:137–45.

    Google Scholar 

  11. Johnson MS, Smith DL, Nagy TR. Validation of quantitative magnetic resonance (QMR) for determination of body composition in rats. Int J Body Compos Res. 2009;7:99–107.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Guo SS, Zeller C, Chumlea WC, Siervogel RM. Aging, body composition, and lifestyle: the Fels Longitudinal Study. Am J Clin Nutr. 1999;70:405–11.

    Article  CAS  Google Scholar 

  13. St-Onge MP, Gallagher D. Body composition changes with aging: the cause or the result of alterations in metabolic rate and macronutrient oxidation? Nutr NIH Public Access. 2010;26:152–5.

    CAS  Google Scholar 

  14. Wulan SN, Westerterp KR, Plasqui G. Ethnic differences in body composition and the associated metabolic profile: a comparative study between Asians and Caucasians. Maturitas. 2010;65:315–9.

    Article  CAS  Google Scholar 

  15. Tian S, Morio B, Denis JB, Mioche L. Age-related changes in segmental body composition by ethnicity and history of weight change across the adult lifespan. Int J Environ Res Public Health. 2016;13:821

    Article  Google Scholar 

  16. Ley CJ, Lees B, Stevenson JC. Sex- and menopause-associated changes in body-fat distribution. Am J Clin Nutr. 1992;55:950–4.

    Article  CAS  Google Scholar 

  17. Kuk JL, Saunders TJ, Davidson LE, Ross R. Age-related changes in total and regional fat distribution. Ageing Res Rev. 2009;8:339–48.

    Article  Google Scholar 

  18. Rosito GA, Massaro JM, Hoffmann U, Ruberg FL, Mahabadi AA, Vasan RS, et al. Pericardial fat, visceral abdominal fat, cardiovascular disease risk factors, and vascular calcification in a community-based sample: the Framingham Heart Study. Circulation. 2008;117:605–13.

    Article  Google Scholar 

  19. Ducimetiere P, Richard J, Cambien F. The pattern of subcutaneous fat distribution in middle-aged men and the risk of coronary heart disease: the Paris Prospective Study. Int J Obes. 1986;10:229–40.

    CAS  PubMed  Google Scholar 

  20. Boyko EJ, Fujimoto WY, Leonetti DL, Newell-Morris L. Visceral adiposity and risk of type 2 diabetes: a prospective study among Japanese Americans. Diabetes Care. 2000;23:465–71.

    Article  CAS  Google Scholar 

  21. Baumgartner RN. Body composition in healthy aging. Ann NY Acad Sci. 2000;904:437–48.

    Article  CAS  Google Scholar 

  22. Tian S, Xu Y. Association of sarcopenic obesity with the risk of all-cause mortality: a meta-analysis of prospective cohort studies. Geriatr Gerontol Int. 2016;16:155–66.

    Article  Google Scholar 

  23. Turturro A, Witt WW, Lewis S, Hass BS, Lipman RD, Hart RW. Growth curves and survival characteristics of the animals used in the biomarkers of aging program. J Gerontol Ser A Biol Sci Med Sci. 1999;54:B492–501.

    Article  CAS  Google Scholar 

  24. Reed DR, Duke FF, Ellis HK, Rosazza MR, Lawler MP, Alarcon LK, et al. Body fat distribution and organ weights of 14 common strains and a 22-strain consomic panel of rats. Physiol Behav. 2011;103:523–9.

    Article  CAS  Google Scholar 

  25. Reed DR, Bachmanov AA, Tordoff MG. Forty mouse strain survey of body composition. Physiol Behav. 2007;91:593–600.

    Article  CAS  Google Scholar 

  26. Skalicky M, Narath E, Viidik A. Housing conditions influence the survival and body composition of ageing rats. Exp Gerontol. 2001;36:159–70.

    Article  CAS  Google Scholar 

  27. Yang Y, Daniel L, Smith Jr, Karen D, Keating DBA, Nagy TR. Variations in body weight, food intake and body composition after long-term high-fat diet feeding in C57BL/6J Mice Yongbin. Obes (Silver Spring). 2014;22:2147–55.

    Article  CAS  Google Scholar 

  28. McMullan RC, Kelly SA, Hua K, Buckley BK, Faber JE, Pardo-Manuel de Villena F. et al. Long-term exercise in mice has sex-dependent benefits on body composition and metabolism during aging. Physiol Rep. 2016;4:e13011

    Article  Google Scholar 

  29. Chumlea WC, Siervogel RM. Age and maturity related changes in body composition during adolescence into adulthood: the Fels longitudinal study. Int J Obes. 1997;21:1167–75.

    Article  Google Scholar 

  30. Visser M, Pahor M, Tylavsky F, Kritchevsky SB, Cauley JA, Newman AB, et al. One- and two-year change in body composition as measured by DXA in a population-based cohort of older men and women. J Appl Physiol. 2003;94:2368–74.

    Article  Google Scholar 

  31. Zamboni M, Zoico E, Scartezzini T, Mazzali G, Tosoni P, Zivelonghi A, et al. Body composition changes in stable-weight elderly subjects: the effect of sex. Aging Clin Exp Res. 2003;15:321–7.

    Article  Google Scholar 

  32. Hughes VA, Roubenoff R, Wood M, Frontera WR, Evans WJ, Fiatarone Singh MA. Anthropometric assessment of 10-y changes in body composition in the elderly. Am J Clin Nutr. 2004;80:475–82.

    Article  CAS  Google Scholar 

  33. Baumgartner RN, Stauber PM, McHugh D, Koehler KM, Garry PJ. Cross-sectional age differences in body composition in persons 60+years of age. J Gerontol Ser A Biol Sci Med Sci. 1995;50:M307–16.

    Article  CAS  Google Scholar 

  34. Drøyvold WB, Nilsen TIL, Krüger Ø, Holmen TL, Krokstad S, Midthjell K. et al. Change in height, weight and body mass index: longitudinal data from the HUNT Study in Norway. Int J Obes. 2006;30:935–9.

    Article  Google Scholar 

  35. Drøyvold WB, Nilsen TIL, Krüger Ø, Holmen TL, Krokstad S, Midthjell K. et al. Change in height, weight and body mass index: longitudinal data from the HUNT Study in Norway. Int J Obes. 2006;30:935–9.

    Article  Google Scholar 

  36. Berryman DE, List EO, Palmer AJ, Chung MY, Wright-Piekarski J, Lubbers E, et al. Two-year body composition analyses of long-lived GHR null mice. J Gerontol Ser A Biol Sci Med Sci. 2010;65:31–40.

    Article  Google Scholar 

  37. Roberts MN, Wallace MA, Tomilov AA, Zhou Z, Marcotte GR, Tran D, et al. A ketogenic diet extends longevity and healthspan in adult mice. Cell Metab. 2017;26:539.e5–46.e5.

    Article  Google Scholar 

  38. Fischer KE, Gelfond JAL, Soto VY, Han C, Someya S, Richardson A, et al. Health effects of long-term rapamycin treatment: the impact on mouse health of enteric rapamycin treatment from four months of age throughout life. PLoS ONE. 2015;10:e0126644.

    Article  Google Scholar 

  39. Wolden-Hanson T. Changes in body composition in response to challenges during aging in rats. Body Compos Aging. 2010;37:64–83.

    Article  Google Scholar 

  40. Rao GN, Haseman JK, Grumbein S, Crawford DD, Eustis SL. Growth, body weight, survival, and tumor trends in F344/N rats during an eleven-year period. Toxicol Pathol. 1990;18:61–70.

    Article  CAS  Google Scholar 

  41. Dutta S, Sengupta P. Men and mice: relating their ages. Life Sci. 2016;152:244–8.

    Article  CAS  Google Scholar 

  42. Sengupta P. The laboratory rat: relating its age with human’s. Int J Prev Med. 2013;4:624–30.

    PubMed  PubMed Central  Google Scholar 

  43. Ray MA, Johnston NA, Verhulst S, Trammell RA, Toth LA. Identification of markers for imminent death in mice used in longevity and aging research. J Am Assoc Lab Anim Sci. 2010;49:282–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Alley DE, Metter EJ, Griswold ME, Harris TB, Simonsick EM, Longo DL, et al. Changes in weight at the end of life: characterizing weight loss by time to death in a cohort study of older men. Am J Epidemiol. 2010;172:558–65.

    Article  Google Scholar 

  45. Gaddey HL, Holder K. Unintentional weight loss in older adults. Am Fam Physician. 2014;89:718–22.

    PubMed  Google Scholar 

  46. Coin A, Sergi G, Minicuci N, Giannini S, Barbiero E, Manzato E, et al. Fat-free mass and fat mass reference values by dual-energy X-ray absorptiometry (DEXA) in a 20-80 year-old Italian population. Clin Nutr. 2008;27:87–94.

    Article  Google Scholar 

  47. Sornay-Rendu E, Karras-Guillibert C, Munoz F, Claustrat B, Chapurlat RD. Age determines longitudinal changes in body composition better than menopausal and bone status: the OFELY study. J Bone Miner Res. 2012;27:628–36.

    Article  Google Scholar 

  48. Kyle UG, Genton L, Hans D, Karsegard L, Slosman DO, Pichard C. Age-related differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years. Eur J Clin Nutr. 2001;55:663–72.

    Article  CAS  Google Scholar 

  49. Mitchell SJ, Madrigal-Matute J, Scheibye-Knudsen M, Fang E, Aon M, González-Reyes JA. et al. Effects of sex, strain, and energy intake on hallmarks of aging in mice. Cell Metab. 2016;23:1093–112.

    Article  CAS  Google Scholar 

  50. Zhang Y, Fischer KE, Soto V, Liu Y, Sosnowska D, Richardson A, et al. Obesity-induced oxidative stress, accelerated functional decline with age and increased mortality in mice. Arch Biochem Biophys. 2015;576:39–48.

    Article  CAS  Google Scholar 

  51. Rikans LE, Venkataraman PS, Cai Y. Evaluation by dual-energy X-ray absorptiometry of age-related changes in body composition of male rats. Mech Ageing Dev. 1993;71:155–8.

    Article  CAS  Google Scholar 

  52. Thomas MA, Rice HB, Weinstock D, Corwin RL. Effects of aging on food intake and body composition in rats. Physiol Behav. 2002;76:487–500.

    Article  CAS  Google Scholar 

  53. Janmahasatian S, Janmahasatian S, Duffull SB, Ash S, Ward LC, Byrne NM, Green B, Janmahasatian S, Duffull SB, Ash S, Ward LC, et al. Quantification of lean body weight. Master Philos. 2005;44:1051–65.

    Google Scholar 

  54. Boot AM, de Ridder MAJ, van der Sluis IM, van Slobbe I, Krenning EP, de Muinck Keizer-Schrama SMPF. Peak bone mineral density, lean body mass and fractures. Bone. 2010;46:336–41.

    Article  Google Scholar 

  55. Newman AB, Lee JS, Visser M, Goodpaster BH, Kritchevsky SB, Tylavsky FA, et al. Weight change and the conservation of lean mass in old age: the Health, Aging and Body Composition Study. Am J Clin Nutr. 2005;82:872–6.

    Article  CAS  Google Scholar 

  56. Kyle UG, Melzer K, Pichard C, Picard-Kossovsky M, Kayser B, Gremion G. Eight-year longitudinal changes in body composition in healthy Swiss adults. J Am Coll Nutr. 2006;25:493–501.

    Article  Google Scholar 

  57. Frontera WR, Ochala J. Skeletal muscle: a brief review of structure and function. Calcif Tissue Int. 2015;96:183–95.

    Article  CAS  Google Scholar 

  58. Short KR. Age and aerobic exercise training effects on whole body and muscle protein metabolism. AJP Endocrinol Metab. 2003;286:92E–101E.

    Article  Google Scholar 

  59. Janssen I, Heymsfield SB, Wang Z, Ross R. Skeletal muscle mass and distribution in 468 men and women aged 18 − 88 yr. J Appl Physiol (1985). 2000;89:81–8.

    Article  CAS  Google Scholar 

  60. Goodpaster BH, Park SW, Harris TB, Kritchevsky SB, Nevitt M, Schwartz AV, et al. The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci. 2006;61:1059–64.

    Article  Google Scholar 

  61. Fantin F, Di Francesco V, Fontana G, Zivelonghi A, Bissoli L, Zoico E, et al. Longitudinal body composition changes in old men and women: interrelationships with worsening disability. J Gerontol Ser A Biol Sci Med Sci. 2007;62:1375–81.

    Article  Google Scholar 

  62. Carter CS, Cesari M, Ambrosius WT, Hu N, Diz D, Oden S, et al. Angiotensin-converting enzyme inhibition, body composition, and physical performance in aged rats. J Gerontol A Biol Sci Med Sci. 2004;59:416–23.

    Article  Google Scholar 

  63. Bertrand HA, Lynd FT, Masoro EJ, Yu BP. Changes in adipose mass and cellularity through the adult life of rats fed ad libitum or a life-prolonging restricted diet. J Gerontol. 1980;35:827–35.

    Article  CAS  Google Scholar 

  64. Yu BP, Masoro EJ, Murata I, Bertrand HA, Lynd FT. Life span study of SPFFischer 344 male rats fed ad libitum or restricted diets: longevity, growth, lean body mass and disease. J Gerontol. 1982;37:130–41.

    Article  CAS  Google Scholar 

  65. McDonald RB, Carlson K, Day C, Stern JS, Horwitz BA. Effect of gender on the response to a high fat diet in aging Fischer 344 rats. J Nutr. 1989;119:1472–7.

    Article  CAS  Google Scholar 

  66. Ibebunjo C, Chick JM, Kendall T, Eash JK, Li C, Zhang Y, et al. Genomic and proteomic profiling reveals reduced mitochondrial function and disruption of the neuromuscular junction driving rat sarcopenia. Mol Cell Biol. 2013;33:194–212.

    Article  CAS  Google Scholar 

  67. Pannérec A, Springer M, Migliavacca E, Ireland A, Piasecki M, Karaz S, et al. A robust neuromuscular system protects rat and human skeletal muscle from sarcopenia. Aging. 2016;8:712–29.

    Article  Google Scholar 

  68. McMullan RC, Kelly SA, Hua K, Buckley BK, Faber JE, de Villena FPM, et al. Long-term exercise in mice has sex-dependent benefits on body composition and metabolism during aging. Physiol Rep. 2016;4:e13011.

    Article  Google Scholar 

  69. Li H, Sui X, Huang S, Lavie CJ, Wang Z, Blair SN. Secular change in cardiorespiratory fitness and body composition of women: the Aerobics Center Longitudinal Study. Mayo Clin Proc. 2015;90:43–52.

    Article  Google Scholar 

  70. Feely RS, Larkin LM, Halter JB, Dengel DR. Chemical versus dual energy X-ray absorptiometry for detecting age-associated body compositional changes in male rats. Exp Gerontol. 2000;35:417–27.

    Article  CAS  Google Scholar 

  71. Ding J, Kritchevsky SB, Newman AB, Taaffe DR, Nicklas BJ, Visser M, et al. Effects of birth cohort and age on body composition in a sample of. Am J Clin Nutr. 2007;85:405–10.

    Article  CAS  Google Scholar 

  72. Speakman JR, Westerterp KR. Associations between energy demands, physical activity, and body composition in adult humans between 18 and 96 y of age. Am J Clin Nutr. 2010;92:826–34.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work, as well as TRN, are supported by the UAB Nutrition Obesity Research Center (P30DK56336), Nathan Shock Center of Excellence in the Basic Biology of Aging (P30AG050886), and Diabetes Research Center (P30DK079626). LEP is supported by the National Heart, Lung, and Blood Institute (T32HL105349). The opinions expressed herein are those of the authors and not necessarily those of the NIH or any other organization with which the authors are affiliated.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tim R. Nagy.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pappas, L.E., Nagy, T.R. The translation of age-related body composition findings from rodents to humans. Eur J Clin Nutr 73, 172–178 (2019). https://doi.org/10.1038/s41430-018-0324-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41430-018-0324-6

This article is cited by

Search

Quick links