Evidence map›Paper›PMID 42693473›Full record

ReviewJournal of ovarian research2026

Research progress on multi-mechanism analysis and protection strategies of ovarian aging and fertility decline.

Jianhui Chen, Xiaohui Duan, Yaling Jing, Xiaofang Liu, Yongqiang Zhang, Yuqin Tang, Chuanliang Chen, Jiayan Yang, Xiaohong Li, Fang Lin and 1 more

Abstract readReview
In one paragraph

Review in Journal of ovarian research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jianhui Chen *Department of Medical Genetics, Suining Central Hospital, Suining, Sichuan Province, 629000, China.
Xiaohui Duan *Department of Radiology, Suining Central Hospital, Suining, Sichuan Province, 629000, China.
Yaling Jing *Department of Medical Genetics, Suining Central Hospital, Suining, Sichuan Province, 629000, China.
Xiaofang LiuDepartment of Medical Genetics, Suining Central Hospital, Suining, Sichuan Province, 629000, China.
Yongqiang ZhangHenan Academy of Innovations in Medical Science, Zhengzhou, Henan, 451163, China.
Yuqin TangDepartment of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Chuanliang ChenClinical Bioinformatics Experimental Center, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China.
Jiayan YangDepartment of Medical Genetics, Suining Central Hospital, Suining, Sichuan Province, 629000, China.
Xiaohong LiDepartment of Medical Genetics, Suining Central Hospital, Suining, Sichuan Province, 629000, China. 2579852980@qq.com.
Fang LinDepartment of Medical Genetics, Suining Central Hospital, Suining, Sichuan Province, 629000, China. linfang114@126.com.
Lianfang ZhaoDepartment of Medical Genetics, Suining Central Hospital, Suining, Sichuan Province, 629000, China. zhaolianfang0913@163.com.

Funding

2024 Sichuan Medical Research Project of Sichuan Medical Association S2024085Suining Central Hospital Institutional Research Project 2022ypj26Suining Health Science and Technology Program Project 24CJDFB02
6 · The paper itself

Abstract

Age-related fertility decline is an increasingly important challenge in reproductive medicine, driven largely by progressive ovarian aging. The aging ovary undergoes functional deterioration characterized by reduced ovarian reserve and declining oocyte quality, ultimately limiting female reproductive lifespan. Although multiple molecular and cellular processes associated with ovarian aging have been identified, these mechanisms are often discussed independently, limiting an integrated understanding of how they interact within the ovary. In this review, we propose an ovary-centered, multi-mechanistic framework to organize current evidence on ovarian aging and fertility decline. We discuss how genomic instability, telomere attrition, mitochondrial dysfunction, oxidative stress, chronic cellular stress responses, and alterations in ovarian signaling and microenvironmental homeostasis collectively contribute to follicle depletion and impaired oocyte competence. Particular emphasis is placed on signaling pathways involved in follicle activation and stress adaptation, including PI3K/AKT/mTOR, FOXO3, Hippo, and AMPK-Sirtuin networks, while acknowledging that many mechanistic relationships remain incompletely defined in physiological ovarian aging. Building on this integrative perspective, we further evaluate mechanism-oriented intervention strategies, including mitigation of cellular stress, metabolic and signaling modulation, optimization of the ovarian microenvironment, established fertility preservation technologies, and emerging exploratory approaches. By integrating current mechanistic and translational evidence, this review provides a conceptual framework for understanding ovarian aging and highlights future directions for evidence-based fertility preservation and reproductive health management in the context of aging.

Indexed as

AgingFertilityOvaryAnimalsFemaleHumansOxidative StressSignal Transduction

Identifiers

PMID42693473
PMCPMC13543437

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.