Age-Related Sexual Dimorphism on the Longitudinal Progression of Blood Immune Cells in BALB/cByJ Mice.
Adaptive immune
Aging
Animal model
Blood
Gender differences
Immunosenescence
Innate immune system
Linear mixed models
Sex
system
Journal
The journals of gerontology. Series A, Biological sciences and medical sciences
ISSN: 1758-535X
Titre abrégé: J Gerontol A Biol Sci Med Sci
Pays: United States
ID NLM: 9502837
Informations de publication
Date de publication:
05 05 2022
05 05 2022
Historique:
received:
02
06
2021
pubmed:
7
11
2021
medline:
10
5
2022
entrez:
6
11
2021
Statut:
ppublish
Résumé
The study of immune system aging is of relevance, considering its myriad of interactions and role in protecting and maintaining body homeostasis. While mouse models have been extensively used to study immune system aging, little is known on how the main immune populations progress over time and what is the impact of sex. To contribute to filling this gap, male and female BALB/cByJ mice were longitudinally evaluated, from 3 to 18 months old, for the main blood populations, assessed by flow cytometry. Using linear mixed-effect models, we observed that the percentages of neutrophils, monocytes, eosinophils, and total natural killer (NK) cells increase with aging, while those of B cells, T cells (including CD4+ and CD8+ subsets), and Ly6C+ NK cells decrease. Males present higher percentages of neutrophils and classical monocytes Ly6Chigh over time, while females present higher percentages of total T cells, both CD4+ and CD8+, eosinophils, and NK cells. Males and females display similar percentages of B cells, even though with opposite accelerated progressions over time. This study revealed that mouse models recapitulate what is observed in humans during aging: an overall proportional decrease in the adaptive and an increase in the innate immune cells. Additionally, it uncovers an age-related sexual dimorphism in the proportion of immune cells in circulation, further strengthening the need to explore the impact of sex when addressing immune system aging using mouse models.
Identifiants
pubmed: 34741509
pii: 6422561
doi: 10.1093/gerona/glab330
pmc: PMC9071472
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
883-891Subventions
Organisme : Foundation for Science and Technology
ID : UIDB/50026/2020
Organisme : European Regional Development Fund
ID : SFRH/BD/112494/2015
Informations de copyright
© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America.
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