Literature DB >> 33515680

Fetal programming of polycystic ovary syndrome: Effects of androgen exposure on prenatal ovarian development.

Maya Barsky1, Jamie Merkison2, Pardis Hosseinzadeh2, Liubin Yang2, Janet Bruno-Gaston1, Jay Dunn3, William Gibbons1, Chellakkan Selvanesan Blesson4.   

Abstract

Polycystic ovary syndrome (PCOS) is a common form of anovulatory infertility with a strong hereditary component but no candidate genes have been found. The inheritance pattern may be due to in utero androgen programming on gene expression and mitochondria. Mitochondria are maternally inherited and alterations to mitochondria after fetal androgen exposure may explain one of the mechanisms of fetal programming in PCOS. Our aim was to investigate the role of excessive prenatal androgens in ovarian development by identifying how hyperandrogenemia affects gene expression and mitochondria in neonatal ovary. Pregnant dams were injected with dihydrotestosterone on days 16-18 of pregnancy. Day 0 ovaries were collected for gene expression and mitochondrial studies. RNAseq showed differential gene expressions which were related to mitochondrial dysfunction, fetal gonadal development, oocyte maturation, metabolism, angiogenesis, and PCOS. Top 20 up and downregulated genes were validated with qPCR and Western Blot. Transcriptional pathways involved in folliculogenesis and genes involved in ovarian and mitochondrial function were dysregulated. Further, DHT exposure altered mitochondrial ultrastructure and function by increasing mitochondrial oxygen consumption and decreasing mitochondrial efficiency with increased proton leak within the first day of life. Our data indicates that one path that leads to PCOS begins at birth and is programmed in utero by androgens.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Androgens; Genes; Mitochondria; Ovary; PCOS

Mesh:

Substances:

Year:  2021        PMID: 33515680      PMCID: PMC8056856          DOI: 10.1016/j.jsbmb.2021.105830

Source DB:  PubMed          Journal:  J Steroid Biochem Mol Biol        ISSN: 0960-0760            Impact factor:   4.292


  49 in total

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  4 in total

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  4 in total

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