ArticleAging2021
Bioinformatics analysis of the molecular mechanism of obesity in polycystic ovary syndrome.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 21 citations in OpenAlex.
- Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China.Journal of ovarian research · 2023Article
- The Implication of Mechanistic Approaches and the Role of the Microbiome in Polycystic Ovary Syndrome (PCOS): A Review.Metabolites · 2023Review
- Contribution of labor related gene subtype classification on heterogeneity of polycystic ovary syndrome.PloS one · 2023Article
- Quantitative Proteomics Reveals That a Prognostic Signature of the Endometrium of the Polycystic Ovary Syndrome Women Based on Ferroptosis Proteins.Frontiers in endocrinology · 2022Article
- Metabolic Syndrome and PCOS: Pathogenesis and the Role of Metabolites.Metabolites · 2021Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity is an important part of polycystic ovary syndrome (PCOS) pathologies. The present study utilized the bioinformatics method to identify the molecular mechanism of obesity status in PCOS.
methodsSix transcriptome profiles of adipose tissue were obtained from online databases. The background correction and normalization were performed, and the DEGs were detected with the settings
resultsA total of 37 DGEs were found between obesity PCOS and healthy controls, and 8 of them were tested significant in the third database. The expression patterns of the 8 detected DGEs were then measured in another two datasets based on lean/obesity PCOS patients and healthy controls. The gene CHRDL1 was found to be in linear regression with the BMI index in PCOS patients (
conclusionIn summary, the present study identified CHRDL1 as a candidate gene responsible for the obesity of PCOS patients.
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Registered trials
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