Literature DB >> 27519886

Meta-Analysis of 29 Experiments Evaluating the Effects of Rapamycin on Life Span in the Laboratory Mouse.

William R Swindell1.   

Abstract

Rapamycin has favorable effects on aging in mice and may eventually be applied to encourage "healthy aging" in humans. This study analyzed raw data from 29 survival studies of rapamycin- and control-treated mice, with the goals of estimating summary statistics and identifying factors associated with effect size heterogeneity. Meta-analysis demonstrated significant heterogeneity across studies, with hazard ratio (HR) estimates ranging from 0.22 (95% confidence interval [CI]: 0.06-0.82) to 0.92 (95% CI: 0.65-1.28). Sex was the major factor accounting for effect size variation, and mortality was decreased more in females (HR = 0.41; 95% CI: 0.35-0.48) as compared with males (HR = 0.63; 95% CI: 0.55-0.71). Rapamycin effects were also genotype dependent, however, with stronger survivorship increases in hybrid mice (14.4%; 95% CI: 12.5-16.3%) relative to pure inbred strains (8.8%; 95% CI: 6.2-11.6%). Number needed to treat was applied as an effect size metric, which consistently identified early senescence as the age of peak treatment benefit. These results provide synthesis of existing data to support the potential translation of findings from mouse to primate species. Because rapamycin's effect on survival depends on sex and genotype, further work is justified to understand how these factors shape treatment response.
© The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  AFT model; Longevity; NNT; Proportional hazard; mTOR

Mesh:

Substances:

Year:  2017        PMID: 27519886     DOI: 10.1093/gerona/glw153

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  11 in total

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Authors:  Colin Selman; William R Swindell
Journal:  EMBO J       Date:  2018-11-02       Impact factor: 11.598

2.  Breaking the Ceiling of Human Maximal Life span.

Authors:  Moshe Shay Ben-Haim; Yariv Kanfi; Sarah J Mitchell; Noam Maoz; Kelli L Vaughan; Ninette Amariglio; Batia Lerrer; Rafael de Cabo; Gideon Rechavi; Haim Y Cohen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-10-08       Impact factor: 6.053

3.  Decline in biological resilience as key manifestation of aging: Potential mechanisms and role in health and longevity.

Authors:  Svetlana Ukraintseva; Konstantin Arbeev; Matt Duan; Igor Akushevich; Alexander Kulminski; Eric Stallard; Anatoliy Yashin
Journal:  Mech Ageing Dev       Date:  2020-12-16       Impact factor: 5.432

Review 4.  Nutrient-Response Pathways in Healthspan and Lifespan Regulation.

Authors:  Aleksandra Dabrowska; Juhi Kumar; Charalampos Rallis
Journal:  Cells       Date:  2022-05-06       Impact factor: 7.666

Review 5.  Regulation and metabolic functions of mTORC1 and mTORC2.

Authors:  Angelia Szwed; Eugene Kim; Estela Jacinto
Journal:  Physiol Rev       Date:  2021-02-18       Impact factor: 46.500

6.  Rapamycin in mice.

Authors:  William R Swindell
Journal:  Aging (Albany NY)       Date:  2017-09-01       Impact factor: 5.682

7.  Transcriptional profiling identifies strain-specific effects of caloric restriction and opposite responses in human and mouse white adipose tissue.

Authors:  William R Swindell; Edward O List; Darlene E Berryman; John J Kopchick
Journal:  Aging (Albany NY)       Date:  2018-04-29       Impact factor: 5.682

Review 8.  Immune Relevant and Immune Deficient Mice: Options and Opportunities in Translational Research.

Authors:  Enrico Radaelli; Sara F Santagostino; Rani S Sellers; Cory F Brayton
Journal:  ILAR J       Date:  2018-12-31

9.  Towards natural mimetics of metformin and rapamycin.

Authors:  Alexander Aliper; Leslie Jellen; Franco Cortese; Artem Artemov; Darla Karpinsky-Semper; Alexey Moskalev; Andrew G Swick; Alex Zhavoronkov
Journal:  Aging (Albany NY)       Date:  2017-11-15       Impact factor: 5.682

10.  mTORC1 and mTORC2 Differentially Regulate Cell Fate Programs to Coordinate Osteoblastic Differentiation in Mesenchymal Stromal Cells.

Authors:  Theres Schaub; Dennis Gürgen; Deborah Maus; Claudia Lange; Victor Tarabykin; Duska Dragun; Björn Hegner
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

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