Glucocorticoid exposure predicts survival in female baboons.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
04 2021
Historique:
received: 11 11 2020
accepted: 02 03 2021
entrez: 22 4 2021
pubmed: 23 4 2021
medline: 19 4 2022
Statut: epublish

Résumé

Are differences in hypothalamic-pituitary-adrenal (HPA) axis activation across the adult life span linked to differences in survival? This question has been the subject of considerable debate. We analyze the link between survival and fecal glucocorticoid (GC) measures in a wild primate population, leveraging an unusually extensive longitudinal dataset of 14,173 GC measurements from 242 adult female baboons over 1634 female years. We document a powerful link between GCs and survival: Females with relatively high current GCs or high lifelong cumulative GCs face an elevated risk of death. A hypothetical female who maintained GCs in the top 90% for her age across adulthood would be expected to lose 5.4 years of life relative to a female who maintained GCs in the bottom 10% for her age. Hence, differences among individuals in HPA axis activity provide valuable prognostic information about disparities in life span.

Identifiants

pubmed: 33883141
pii: 7/17/eabf6759
doi: 10.1126/sciadv.abf6759
pmc: PMC8059933
pii:
doi:

Substances chimiques

Glucocorticoids 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NICHD NIH HHS
ID : P2C HD065563
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG053308
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD088558
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG031719
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG053330
Pays : United States

Informations de copyright

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

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Auteurs

Fernando A Campos (FA)

Department of Anthropology, University of Texas at San Antonio, San Antonio, TX 78249-1644, USA. fernando.campos@utsa.edu.
Department of Biology, Duke University, Durham, NC 27708, USA.

Elizabeth A Archie (EA)

Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.

Laurence R Gesquiere (LR)

Department of Biology, Duke University, Durham, NC 27708, USA.

Jenny Tung (J)

Department of Biology, Duke University, Durham, NC 27708, USA.
Population Research Institute, Duke University, Durham, NC 27708, USA.
Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA.
Canadian Institute for Advanced Research, 661 University Ave., Suite 505, Toronto, ON M5G 1M1, Canada.

Jeanne Altmann (J)

Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.

Susan C Alberts (SC)

Department of Biology, Duke University, Durham, NC 27708, USA.
Population Research Institute, Duke University, Durham, NC 27708, USA.
Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA.

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Classifications MeSH