Evidence map›Paper›PMID 37171773›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2023

Integrative Analysis of Core Genes and Biological Process Involved in Polycystic Ovary Syndrome.

Yuanyuan Zhang, Tianyi Zhao, Lishuang Hu, Juan Xue

Abstract read
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In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2023. 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
0.7field-weighted citation impact, top 25% of its field
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, 3 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Yuanyuan Zhang *Department of Obstetrics and Gynecology, Yan'an University Affiliated Hospital, No. 43 North Street, Baota District, Yan'an, 716000, Shaanxi, People's Republic of China.
Tianyi Zhao *Department of Obstetrics and Gynecology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, People's Republic of China.
Lishuang HuDepartment of Obstetrics and Gynecology, Yan'an University Affiliated Hospital, No. 43 North Street, Baota District, Yan'an, 716000, Shaanxi, People's Republic of China.
Juan XueDepartment of Obstetrics and Gynecology, Yan'an University Affiliated Hospital, No. 43 North Street, Baota District, Yan'an, 716000, Shaanxi, People's Republic of China. juanxue0613@163.com.ORCID http://orcid.org/0000-0001-8793-345X
Yanan University Affiliated Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a common gynecological endocrine disordered disease, affecting the function of the ovaries in women of reproductive age. However, there are limited curative therapies for PCOS due to lack of reliable candidates. Hence, this study aimed to identify hub pathogenic genes and potential therapeutic targets for PCOS using bioinformatics tools. We obtained the expression profiles of 29 PCOS samples and 24 normal samples from three Gene Expression Omnibus (GEO) datasets. Then, the differentially expressed genes (DEGs) were screened, which were subjected to functional enrichment analyses. Moreover, we found 30 ferroptosis-related genes out of the 89 DEGs. Among the top 10 significant ferroptosis-related DEGs, 8 genes showed good predictive performance. We constructed interaction network of top three ferroptosis-related DEGs (SLC38A1, ACO1, DDIT3). Finally, real-time PCR was performed to test the relative expression of these genes. In conclusions, we have identified ferroptosis-related DEGs as core genes and potential therapeutic targets of PCOS based on comprehensive bioinformatics analysis. The findings are conducive to understanding of the pathogenesis of PCOS and paving the way towards curative therapies.

Indexed as

Biological PhenomenaPolycystic Ovary SyndromeComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHumansBioinformaticsCore genesFerroptosisGEOPolycystic ovary syndrome

Identifiers

PMID37171773
OpenAlexW4376224787

What OpenQuestion 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 OpenQuestion graph.