A cross-sectional study of male and female C57BL/6Nia mice suggests lifespan and healthspan are not necessarily correlated

Aging

Volumn 8, Issue 10, 2016, Pages 2370-2391

  Fischer, Kathleen E ^a,b   Hoffman, Jessica M ^a   Sloane, Lauren B ^b,c   Gelfond, Jonathan A L ^b   Soto, Vanessa Y ^b   Richardson, Arlan G ^b,d   Austad, Steven N ^a,b  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^c SUNY Delhi   (United States)

^d UNIVERSITY OF OKLAHOMA HEALTH SCIENCES CENTER   (United States)

Author keywords

Aging; Healthspan; Lifespan; Longevity; Physiological function; Sex differences

Indexed keywords

AGING; ANIMAL EXPERIMENT; C57BL 6 MOUSE; CROSS-SECTIONAL STUDY; DEATH; FEMALE; LIFESPAN; LONGEVITY; MALE; MOUSE; NONHUMAN; PHYSIOLOGY; PROBABILITY; SEX DIFFERENCE; ANIMAL; C57BL MOUSE; HEALTH STATUS; LIFE EXPECTANCY;

AGING; ANIMALS; CROSS-SECTIONAL STUDIES; FEMALE; HEALTH STATUS; LIFE EXPECTANCY; LONGEVITY; MALE; MICE; MICE, INBRED C57BL;

EID: 84995701369     PISSN: 19454589     EISSN: None     Source Type: Journal    
DOI: 10.18632/aging.101059     Document Type: Article

References (39)

1. McCay CM, Crowell MF, Maynard LA. The effect ofretarded growth upon the length of life span and uponthe ultimate body size. 1935. Nutrition. 1989; 5:155-71.
2. Austad SN. (2011). Sex differences in longevity andaging. In: Masoro EJ and Austad SN, eds. TheHandbook of the Biology of Aging. (San Diego:Academic Press), pp. 479-496.
3. Jenkins NL, McColl G, Lithgow GJ. Fitness cost ofextended lifespan in Caenorhabditis elegans. ProcBiol Sci. 2004; 271:2523-26. doi: 10.1098/rspb.2004.2897
4. Lithgow GJ, Gill MS. Physiology: cost-free longevityin mice? Nature. 2003; 421:125-26. doi: 10.1038/421125a
5. Bansal A, Zhu LJ, Yen K, Tissenbaum HA.Uncoupling lifespan and healthspan inCaenorhabditis elegans longevity mutants. Proc NatlAcad Sci USA. 2015; 112:E277-86. doi:10.1073/pnas.1412192112
6. Crimmins EM, Beltrán-Sánchez H. Mortality andmorbidity trends: is there compression of morbidity? J Gerontol B Psychol Sci Soc Sci. 2011; 66:75-86.doi: 10.1093/geronb/gbq088
7. Fried LP, Tangen CM, Walston J, Newman AB,Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ,Burke G, McBurnie MA, and Cardiovascular HealthStudy Collaborative Research Group. Frailty in olderadults: evidence for a phenotype. J Gerontol A BiolSci Med Sci. 2001; 56:M146-56. doi: 10.1093/gerona/56.3.M146
8. Fieo RA, Austin EJ, Starr JM, Deary IJ. CalibratingADL-IADL scales to improve measurement accuracyand to extend the disability construct into thepreclinical range: a systematic review. BMC Geriatr.2011; 11:42. doi: 10.1186/1471-2318-11-42
9. Feridooni HA, Sun MH, Rockwood K, Howlett SE.Reliability of a frailty index based on the clinicalassessment of health deficits in male C57BL/6J Mice.J Gerontol A Biol Sci Med Sci. 2015; 70:686-93.doi: 10.1093/gerona/glu161
10. Crimmins EM, Kim JK, Solé-Auró A. Genderdifferences in health: results from SHARE, ELSAand HRS. Eur J Public Health. 2011; 21:81-91. doi: 10.1093/eurpub/ckq022
11. Baker GT 3rd, Sprott RL. Biomarkers of aging. Exp Gerontol. 1988; 23:223-39. doi: 10.1016/0531-5565(88)90025-3
12. Heller DA, Ahern FM, Stout JT, McClearn GE.Mortality and biomarkers of aging in heterogeneousstock (HS) mice. J Gerontol A Biol Sci Med Sci.1998; 53:B217-30. doi: 10.1093/gerona/53A.3.B217
13. Johnson TE. Recent results: biomarkers of aging. ExpGerontol. 2006; 41:1243-46. doi: 10.1016/j.exger.2006.09.006
14. Graber TG, Ferguson-Stegall L, Kim JH, ThompsonLV.C57BL/6 neuromuscular healthspan scoringsystem. J Gerontol A Biol Sci Med Sci. 2013;68:1326-36. doi: 10.1093/gerona/glt032
15. Walston J, Fedarko N, Yang H, Leng S, Beamer B,Espinoza S, Lipton A, Zheng H, Becker K. Thephysical and biological characterization of a frailmouse model. J Gerontol A Biol Sci Med Sci. 2008;63:391-98. doi: 10.1093/gerona/63.4.391
16. Liu H, Graber TG, Ferguson-Stegall L, ThompsonLV.Clinically relevant frailty index for mice. JGerontol A Biol Sci Med Sci. 2014; 69:1485-91. doi: 10.1093/gerona/glt188
17. Parks RJ, Fares E, Macdonald JK, Ernst MC, SinalCJ, Rockwood K, Howlett SE. A procedure forcreating a frailty index based on deficit accumulationin aging mice. J Gerontol A Biol Sci Med Sci. 2012; 67:217-27. doi: 10.1093/gerona/glr193
18. Whitehead JC, Hildebrand BA, Sun M, RockwoodMR, Rose RA, Rockwood K, Howlett SE. A clinicalfrailty index in aging mice: comparisons with frailtyindex data in humans. J Gerontol A Biol Sci Med Sci.2014; 69:621-32. doi: 10.1093/gerona/glt136
19. Fahlström A, Yu Q, Ulfhake B. Behavioral changesin aging female C57BL/6 mice. Neurobiol Aging.2011; 32:1868-80. doi: 10.1016/j.neurobiolaging.2009.11.003
20. Fahlström A, Zeberg H, Ulfhake B. Changes inbehaviors of male C57BL/6J mice across adult lifespan and effects of dietary restriction. Age (Dordr).2012; 34:1435-52. doi: 10.1007/s11357-011-9320-7
21. Justice JN, Carter CS, Beck HJ, Gioscia-Ryan RA,McQueen M, Enoka RM, Seals DR. Battery ofbehavioral tests in mice that models age-associatedchanges in human motor function. Age (Dordr).2014; 36:583-92. doi: 10.1007/s11357-013-9589-9
22. Turturro A, Witt WW, Lewis S, Hass BS, LipmanRD, Hart RW. Growth curves and survivalcharacteristics of the animals used in the Biomarkersof Aging Program. J Gerontol A Biol Sci Med Sci.1999; 54:B492-501. doi:10.1093/gerona/54.11.B492
23. Fischer KE, Gelfond JA, Soto VY, Han C, Someya S,Richardson A, Austad SN. Health effects of long-term rapamycin treatment: the impact on mousehealth of enteric rapamycin treatment from fourmonths of age throughout life. PLoS One. 2015;10:e0126644. doi: 10.1371/journal.pone.0126644
24. Zhang Y, Bokov A, Gelfond J, Soto V, Ikeno Y,Hubbard G, Diaz V, Sloane L, Maslin K, Treaster S,Réndon S, van Remmen H, Ward W, et al.Rapamycin extends life and health in C57BL/6 mice.J Gerontol A Biol Sci Med Sci. 2014; 69:119-30. doi: 10.1093/gerona/glt056
25. Belsky DW, Caspi A, Houts R, Cohen HJ, CorcoranDL, Danese A, Harrington H, Israel S, Levine ME,Schaefer JD, Sugden K, Williams B, Yashin AI, et al.Quantification of biological aging in young adults.Proc Natl Acad Sci USA. 2015; 112:E4104-10. doi:10.1073/pnas.1506264112
26. Nam S, Al Snih S, Markides K. Lower body functionas a predictor of mortality over 13 years of follow up:Findings from Hispanic Established Population forthe Epidemiological Study of the Elderly. GeriatrGerontol Int. 2015n/a. doi: 10.1111/ggi.12650
27. Vestergaard S, Patel KV, Bandinelli S, Ferrucci L,Guralnik JM. Characteristics of 400-meter walk testperformance and subsequent mortality in older adults.Rejuvenation Res. 2009; 12:177-84. doi: 10.1089/rej.2009.0853
28. Volpato S, Cavalieri M, Sioulis F, Guerra G, MaraldiC, Zuliani G, Fellin R, Guralnik JM. Predictive valueof the Short Physical Performance Battery followinghospitalization in older patients. J Gerontol A BiolSci Med Sci. 2011; 66:89-96. doi: 10.1093/gerona/glq167
29. Walsh ME, Sloane LB, Fischer KE, Austad SN,Richardson A, Van Remmen H. Use of nerveconduction velocity to assess peripheral nerve healthin aging mice. J Gerontol A Biol Sci Med Sci. 2015;70:1312-19. doi: 10.1093/gerona/glu208
30. Judge JO, Davis RB 3rd, Ounpuu S. Step lengthreductions in advanced age: the role of ankle and hipkinetics. J Gerontol A Biol Sci Med Sci. 1996;51:M303-12. doi: 10.1093/gerona/51A.6.M303
31. Richardson A, Fischer KE, Speakman JR, de Cabo R,Mitchell SJ, Peterson CA, Rabinovitch P, Chiao YA,Taffet G, Miller RA, Rentería RC, Bower J, IngramDK, et al. Measures of healthspan as indices of agingin mice-a recommendation. J Gerontol A Biol SciMed Sci. 2016; 71:427-30. doi:10.1093/gerona/glv080
32. Martin-Montalvo A, Mercken EM, Mitchell SJ,Palacios HH, Mote PL, Scheibye-Knudsen M, GomesAP, Ward TM, Minor RK, Blouin MJ, Schwab M,Pollak M, Zhang Y, et al. Metformin improveshealthspan and lifespan in mice. Nat Commun. 2013;4:2192. doi: 10.1038/ncomms3192
33. Baur JA, Pearson KJ, Price NL, Jamieson HA, LerinC, Kalra A, Prabhu VV, Allard JS, Lopez-Lluch G,Lewis K, Pistell PJ, Poosala S, Becker KG, et al.Resveratrol improves health and survival of mice ona high-calorie diet. Nature. 2006; 444:337-42. doi: 10.1038/nature05354
34. He Y, Jasper H. Studying aging in Drosophila.Methods. 2014; 68:129-33. doi: 10.1016/j.ymeth.2014.04.008
35. Keith SA, Amrit FR, Ratnappan R, Ghazi A. The C.elegans healthspan and stress-resistance assay toolkit.Methods. 2014; 68:476-86. doi: 10.1016/j.ymeth.2014.04.003
36. Liao CY, Rikke BA, Johnson TE, Diaz V, Nelson JF.Genetic variation in the murine lifespan response todietary restriction: from life extension to lifeshortening. Aging Cell. 2010; 9:92-95. doi: 10.1111/j.1474-9726.2009.00533.x
37. Kraemer HC, Yesavage JA, Taylor JL, Kupfer D.How can we learn about developmental processesfrom cross-sectional studies, or can we? Am JPsychiatry. 2000; 157:163-71. doi:10.1176/appi.ajp.157.2.163
38. Calhoun C, Shivshankar P, Saker M, Sloane LB, LiviCB, Sharp ZD, Orihuela CJ, Adnot S, White ES,Richardson A, Le Saux CJ. Senescent cells contributeto the physiological remodeling of aged lungs. JGerontol A Biol Sci Med Sci. 2016; 71:153-60. doi:10.1093/gerona/glu241
39. Pack AI, Galante RJ, Maislin G, Cater J, Metaxas D,Lu S, Zhang L, Von Smith R, Kay T, Lian J, SvensonK, Peters LL. Novel method for high-throughputphenotyping of sleep in mice. Physiol Genomics.2007; 28:232-38. doi: 10.1152/physiolgenomics.00139.2006