Evidence map›Paper›PMID 39849236›Full record

ArticleJournal of assisted reproduction and genetics2025

Twelve-hour ultradian rhythmic reprogramming of gene expression in the human ovary during aging.

Lina Chen, Peigen Chen, Yun Xie, Jiayi Guo, Rouzhu Chen, Yingchun Guo, Cong Fang

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lina Chen *Center of Reproductive Medicine, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, China.
Peigen Chen *Center of Reproductive Medicine, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, China.
Yun Xie *Center of Reproductive Medicine, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, China.
Jiayi GuoCenter of Reproductive Medicine, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, China.
Rouzhu ChenCenter of Reproductive Medicine, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, China.
Yingchun GuoCenter of Reproductive Medicine, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, China. guoychun@mail2.sysu.edu.cn.
Cong FangCenter of Reproductive Medicine, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, China. fangcong@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-9352-9525

Funding

National Key R&D Program of China under Grant 2022YFC2703000National Natural Science Foundation of China under Grant 82271651National Natural Science Foundation of China under Grant 82401897
6 · The paper itself

Abstract

backgroundThe 12-h ultradian rhythm plays a crucial role in metabolic homeostasis, but its role in ovarian aging has not been explored. This study investigates age-related changes in 12-h rhythmic gene expression across various human tissues, with a particular focus on the ovary.

methodsWe analyzed transcriptomic data from the GTEx project to examine 12-h ultradian rhythmic gene expression across multiple peripheral human tissues, exploring sex-specific patterns and age-related reprogramming of both 12-h and 24-h rhythmic gene expression.

resultsOur findings revealed sex-dimorphic patterns in 12-h rhythmic gene expression, with females exhibiting stronger 12-h rhythms than males. Midlife (ages 40-49) was identified as a critical period for the reprogramming of both 12-h and 24-h rhythmic gene expression. The ovary was notable among other organs due to its high number of genes exhibiting 12-h rhythmic expression and a distinct pattern of rhythmic gene expression reprogramming during aging. This reprogramming involved two gene subsets: one subset adopted de novo 12-h rhythms, while another subset shifted from 24-h rhythms in younger individuals to dual 12-h and 24-h rhythms in middle-aged individuals. Both subsets were primarily associated with angiogenesis.

conclusionsThis study is the first to report age-related reprogramming of 12-h rhythms in human tissues, with a particular focus on the amplification of 12-h rhythms in angiogenesis-related genes in the aging ovary. These findings provide novel insights into the mechanisms structured format of the abstract text underlying ovarian aging and suggest potential therapeutic strategies targeting rhythmic gene expression in the ovary.

Indexed as

AgingCircadian RhythmOvaryAdultAgedFemaleGene Expression RegulationHumansMaleMiddle AgedTranscriptome12-hour ultradian rhythmAngiogenesisOvarian agingRhythmic gene expressionSex differences

Identifiers

PMID39849236
PMCPMC11871189

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.