Transgenerational epigenetic impacts of parental infection on offspring health and disease susceptibility.

Autor: Kleeman EA; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia., Gubert C; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia., Hannan AJ; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia; Department of Anatomy and Physiology, University of Melbourne, Parkville, Victoria, Australia. Electronic address: anthony.hannan@florey.edu.au.
Jazyk: angličtina
Zdroj: Trends in genetics : TIG [Trends Genet] 2022 Jul; Vol. 38 (7), pp. 662-675. Date of Electronic Publication: 2022 Apr 08.
DOI: 10.1016/j.tig.2022.03.006
Abstrakt: Maternal immune activation (MIA) and infection during pregnancy are known to reprogramme offspring phenotypes. However, the epigenetic effects of preconceptual paternal infection and paternal immune activation (PIA) are not currently well understood. Recent reports show that paternal infection and immune activation can affect offspring phenotypes, particularly brain function, behaviour, and immune system functioning, across multiple generations without re-exposure to infection. Evidence from other environmental exposures indicates that epigenetic inheritance also occurs in humans. Given the growing impact of the coronavirus disease 2019 (COVID-19) pandemic, it is imperative that we investigate all of the potential epigenetic mechanisms and multigenerational phenotypes that may arise from both maternal and paternal severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, as well as associated MIA, PIA, and inflammation. This will allow us to understand and, if necessary, mitigate any potential changes in disease susceptibility in the children, and grandchildren, of affected parents.
Competing Interests: Declaration of interests No interests are declared.
(Copyright © 2022 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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