Fetal origin of sex-bias brain aging.


Journal

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
ISSN: 1530-6860
Titre abrégé: FASEB J
Pays: United States
ID NLM: 8804484

Informations de publication

Date de publication:
08 2022
Historique:
revised: 30 06 2022
received: 17 02 2022
accepted: 11 07 2022
entrez: 23 7 2022
pubmed: 24 7 2022
medline: 27 7 2022
Statut: ppublish

Résumé

DNA methylation plays crucial roles during fetal development as well as aging. Whether the aging of the brain is programmed at the fetal stage remains untested. To test this hypothesis, mouse epigenetic clock (epiclock) was profiled in fetal (gestation day 15), postnatal (day 5), and aging (week 70) brain of male and female C57BL/6J inbred mice. Data analysis showed that on week 70, the female brain was epigenetically younger than the male brain. Predictive modeling by neural network identified specific methylations in the brain at the developing stages that were predictive of epigenetic state of the brain during aging. Transcriptomic analysis showed coordinated changes in the expression of epiclock genes in the fetal brain relative to the placenta. Whole-genome bisulfite sequencing identified sites that were methylated both in the placenta and fetal brain in a sex-specific manner. Epiclock genes and genes associated with specific signaling pathways, primarily the gonadotropin-releasing hormone receptor (GnRHR) pathway, were associated with the sex-bias methylations in the placenta as well as the fetal brain. Transcriptional crosstalk among the epiclock and GnRHR pathway genes was evident in the placenta that was maintained in the brain during development as well as aging. Collectively, these findings suggest that sex differences in the aging of the brain are of fetal origin and epigenetically linked to the placenta.

Identifiants

pubmed: 35869938
doi: 10.1096/fj.202200255RR
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e22463

Informations de copyright

© 2022 Federation of American Societies for Experimental Biology.

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Auteurs

Maliha Islam (M)

Division of Animal Sciences, University of Missouri, Columbia, Missouri, USA.

Monica Strawn (M)

Division of Animal Sciences, University of Missouri, Columbia, Missouri, USA.

Susanta K Behura (SK)

Division of Animal Sciences, University of Missouri, Columbia, Missouri, USA.
MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri, USA.
Interdisciplinary Neuroscience Program, University of Missouri, Columbia, Missouri, USA.

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