Related Papers
The journals of gerontology. Series A, Biological sciences and medical sciences
Measures of Healthspan as Indices of Aging in Mice-A Recommendation
2015 •
George Taffet
Over the past decade, a large number of discoveries have shown that interventions (genetic, pharmacological, and nutritional) increase the lifespan of invertebrates and laboratory rodents. Therefore, the possibility of developing antiaging interventions for humans has gone from a dream to a reality. However, it has also become apparent that we need more information than just lifespan to evaluate the translational potential of any proposed antiaging intervention to humans. Information is needed on how an intervention alters the "healthspan" of an animal, that is, how the physiological functions that change with age are altered. In this report, we describe the utility and the limitations of assays in mice currently available for measuring a wide range of physiological functions that potentially impact quality of life. We encourage investigators and reviewers alike to expect at minimum an overall assessment of health in several domains across several ages before an interventi...
Nature Protocols
A toolbox for the longitudinal assessment of healthspan in aging mice
2020 •
Dudley Lamming
Aging
A cross-sectional study of male and female C57BL/6Nia mice suggests lifespan and healthspan are not necessarily correlated
2016 •
Vanessa Soto
Lifespan provides a discrete metric that is intuitively appealing and the assumption has been that healthspan is extended concomitant with lifespan. Medicine has been more successful at extending life than preserving health during aging. Interventions that extend lifespan in model organisms do not always result in a corresponding increase in healthspan, suggesting that lifespan and healthspan may be uncoupled. To understand how interventions that extend life affect healthspan, we need measures that distinguish between young and old animals. Here we measured age-related changes in healthspan in male and female C57BL/6JNia mice assessed at 4 distinct ages (4 months, 20 months, 28 months and 32 months). Correlations between health parameters and age varied. Some parameters show consistent patterns with age across studies and in both sexes, others changed in one sex only and others showed no significant differences in mice of different ages. Few correlations existed among health assays,...
Title: Mouse models of ageing and their relevance to disease
Roosmarijn Vandenbroucke
Mechanisms of Ageing and Development
Mouse models of ageing and their relevance to disease
2016 •
Roosmarijn Vandenbroucke
Journal of genetics and genomics = Yi chuan xue bao
Lifespan modulation in mice and the confounding effects of genetic background
2014 •
Colin Selman
We are currently in the midst of a revolution in ageing research, with several dietary, genetic and pharmacological interventions now known to modulate ageing in model organisms. Excitingly, these interventions also appear to have beneficial effects on late-life health. For example, dietary restriction (DR) has been shown to slow the incidence of age-associated cardiovascular disease, metabolic disease, cancer and brain ageing in non-human primates and has been shown to improve a range of health indices in humans. While the idea that DR's ability to extend lifespan is often thought of as being universal, studies in a range of organisms, including yeast, mice and monkeys, suggest that this may not actually be the case. The precise reasons underlying these differential effects of DR on lifespan are currently unclear, but genetic background may be an important factor in how an individual responds to DR. Similarly, recent findings also suggest that the responsiveness of mice to spec...
Experimental Gerontology
Body weight is not always a good predictor of longevity in mice
2004 •
Irina Popovich
Biomolecules
Young and Undamaged rMSA Improves the Healthspan and Lifespan of Mice
2021 •
Yongzhang Luo
Improvement of longevity is an eternal dream of human beings. The accumulation of protein damages is considered as a major cause of aging. Here, we report that the injection of exogenous recombinant mouse serum albumin (rMSA) reduced the total damages of serum albumin in C57BL/6N mice, with higher level of free-thiols, lower levels of carbonyls and advanced glycation end-products as well as hom*ocysteines in rMSA-treated mice. The healthspan and lifespan of C57BL/6N mice were significantly improved by rMSA. The grip strength of rMSA-treated female and male mice increased by 29.6% and 17.4%, respectively. Meanwhile, the percentage of successful escape increased 23.0% in rMSA-treated male mice using the Barnes Maze test. Moreover, the median lifespan extensions were 17.6% for female and 20.3% for male, respectively. The rMSA used in this study is young and almost undamaged. We define the concept “young and undamaged” to any protein without any unnecessary modifications by four paramete...
Genetics
The Influence of Genes on the Aging Process of Mice
2004 •
José A. Cabral
Genetic interventions that accelerate or retard aging in mice are crucial in advancing our knowledge over mammalian aging. Yet determining if a given intervention affects the aging process is not straightforward since, for instance, many disease-causing mutations may decrease life span without affecting aging. In this work, we employed the Gompertz model to determine whether several published interventions previously claimed to affect aging in mice do indeed alter the aging process. First, we constructed age-specific mortality tables for a number of mouse cohorts used in longevity experiments and calculated the rate at which mortality increases with age. Estimates of age-independent mortality were also calculated. We found no statistical evidence that GHRHR, IGF1R, INSR, PROP1, or TRX delay or that ATM + TERC, BubR1, klotho, LMNA, PRDX1, p53, WRN + TERC, or TOP3B accelerate mouse aging. Often, changes in the expression of these genes affected age-independent mortality and so they ma...
Aging
Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice
2017 •
Katerina Leonova