Evidence map›Paper›PMID 41239482›Full record

ArticleJournal of ovarian research2025

Identification of ferroptosis- and mitochondrial metabolism-related biomarkers and the potential molecular mechanisms of poor ovarian response.

Yunying Cai, Na Lin, Yijie Yin, Mei Tian, Ze Wu, Heng Su

Abstract read
In one paragraph

Article in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

6 authors.

Yunying Cai *The Endocrinology Department, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China.
Na Lin *Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, 650032, China.
Yijie YinMedical School, Kunming University of Science and Technology, Kunming, 650500, China.
Mei TianDepartment of Reproductive Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, 650032, China.
Ze WuDepartment of Reproductive Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology; National Health Commission Key Laboratory of Preconception Health Birth in Western China, Kunming, 650032, China. wuzes2010@163.com.
Heng SuThe Endocrinology Department, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, China. su_hen@hotmail.com.

Funding

Natural Science Foundation of China 82360158Reproductive Obstetrics and Gynecology Clinical Center of Yunnan Province zx2019-01-01Social development projects of Yunnan Province 202302AA310044Special Project for "Famous Doctor" of Yunnan Ten Thousand Talents Plan YNWR-MY-2019-020
6 · The paper itself

Abstract

backgroundFerroptosis and mitochondrial metabolism are closely associated with the pathological processes of various diseases. However, the role of ferroptosis-related genes (FRGs) and mitochondrial metabolism-related genes (MMRGs) in poor ovarian response (POR) remains unexplored.

methodsFirst, transcriptome sequencing was conducted on ovarian granulosa cell samples from POR patients and controls. Candidate genes were screened through differential expression analysis and consensus clustering analysis. The biomarkers were subsequently screened using machine learning algorithms and receiver operating characteristic (ROC) curves. Nomogram construction and evaluation, enrichment analysis, drug prediction analysis, and molecular docking were subsequently carried out using the biomarkers. Finally, the expression of the biomarkers was authenticated using reverse transcription‒quantitative polymerase chain reaction (RT‒qPCR).

resultsPLA2G4B and PRKCG were identified as biomarkers by screening. The nomogram demonstrated that these two biomarkers could effectively predict the occurrence of POR. Gene set enrichment analysis (GSEA) revealed that PLA2G4B and PRKCG were both associated with terpenoid backbone biosynthesis. A TF-miRNA-mRNA network was constructed using the biomarkers. For PLA2G4B, dirithromycin had the highest score among the targeted drugs, whereas for PRKCG, bryostatins and enzastaurin had the highest scores. Molecular docking results indicated that their binding energies were less than - 5 kcal/mol. RT‒qPCR revealed that PLA2G4B and PRKCG were significantly upregulated in POR samples, which was consistent with the high-throughput sequencing results.

conclusionPLA2G4B and PRKCG have been identified as potential mitochondrial- and ferroptosis-related biomarkers in POR, providing valuable insights for exploring the pathogenesis of POR. These findings may also aid in the development of new diagnostic and therapeutic strategies for POR.

Indexed as

FerroptosisMitochondriaOvaryAdultBiomarkersFemaleGene Expression ProfilingHumansMolecular Docking SimulationBiomarkersBiomarkersFerroptosisMitochondrial metabolismMolecular dockingPoor ovarian response

Identifiers

PMID41239482
PMCPMC12619394

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.