Evidence map›Paper›PMID 39397125›Full record

ArticleJournal of assisted reproduction and genetics2024

Identification of necroptosis-related gene expression and the immune response in polycystic ovary syndrome.

Xiuqin Tang, Jinghua Ji, Lili Zhu, Fei Sun, Lihong Wang, Wenting Xu

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2024. 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. Review
  3. Liver-specific loss ofAutophagy reports · 2025
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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.

Xiuqin Tang *Department of Reproduction, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.
Jinghua Ji *Department of Infection Management, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.
Lili ZhuDepartment of Gynecology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.
Fei SunDepartment of General, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.
Lihong WangDepartment of Reproduction, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China. zjgzywlh@njucm.edu.cn.
Wenting XuDepartment of Reproduction, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China. zjgzyxwt@njucm.edu.cn.ORCID http://orcid.org/0000-0001-9222-1473

Funding

School-Land Collaborative Innovation Research Project of Jiangsu Pharmaceutical Vocational College 20239602School-Land Collaborative Innovation Research Project of Jiangsu Pharmaceutical Vocational College 20239609The Gusu Health Talent Plan Research Project GSWS2023016The Multi-centre Clinical Research Project Fund for Major Diseases of Suzhou DZXYJ202311The Natural Science Foundation of Jiangsu province BK20221266The Science and Technology Development Plan of Suzhou SKY2023016The Science and Technology Development Plan of Suzhou SKYD2022010The Science and Technology Development Plan of Suzhou SKYD2023199The Science and Technology Development Plan of Suzhou SYS2022070The Zhangjiagang Health Talent Project ZJGWSRC202001This work was supported by The Science and Technology Program of Jiangsu Province BE2023734
6 · The paper itself

Abstract

backgroundPolycystic ovary syndrome (PCOS) is a common reproductive and endocrine disorder; however, the understanding of the pathogenesis of PCOS remains unclear. Necroptosis is a newly discovered mechanism of cell death, and it is closely related to reproductive endocrine-related diseases. This study aimed to investigate the hub necroptosis-related genes in PCOS patients and its correlation with immune cell infiltration by bioinformatics methods.

methodThe gene expression chip result matrix and the annotation matrix files of the GSE34526, GSE8157, and GSE5090 datasets were downloaded from the GEO database. We analyzed the expression and correlation of the necroptosis-related genes in all samples, constructed a diagnostic model based on all necroptosis-related genes and genes with significant differences, performed unsupervised clustering of samples and gene enrichment analysis, and evaluated the correlations between the hub gene and immune cell infiltration levels by the R packages GSVA and CIBERSORT. Finally, PPI networks were constructed using the Cytoscape software GeneMANIA plug-in, and the miRNA, transcription factors, RBP, and drugs were predicted.

conclusionNecroptosis-related genes have important relationships in the development of PCOS and are potentially associated with immune infiltration in PCOS patients.

Indexed as

Computational BiologyGene Regulatory NetworksNecroptosisPolycystic Ovary SyndromeDatabases, GeneticFemaleGene Expression ProfilingGene Expression RegulationHumansMicroRNAsProtein Interaction MapsMicroRNAsImmune responseNecroptosis-related genePolycystic ovary syndrome

Identifiers

PMID39397125
PMCPMC11707095

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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.