ArticleArchives of gynecology and obstetrics2022
Discovery of immune-related diagnostic biomarkers and construction of diagnostic model in varies polycystic ovary syndrome.
Article in Archives of gynecology and obstetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Artificial intelligence in polycystic ovarian syndrome management: past, present, and future.La Radiologia medica · 2025Pooled it
- Integrative Transcriptomic Analysis and Functional Validation Implicate GPT2 in Glycolytic Regulation in Polycystic Ovary Syndrome.Food science & nutrition · 2026Article
- Natural killer cell dysregulation in polycystic ovary syndrome: immunometabolic and reproductive implication.Frontiers in immunology · 2026Review
- Immune reprogramming in the bone marrow microenvironment: a new perspective on the bone immune microenvironment of postmenopausal osteoporosis.Frontiers in immunology · 2026Review
- Inflammatory status and clinical phenotypes of PCOS: the role of NLR, SII, SIRI, and AISI.BMC women's health · 2025Article
- Unravelling the molecular landscape of polycystic ovary syndrome (PCOS) and role of inflammation through transcriptomics analysis of human ovarian granulosa cells.Genomics & informatics · 2025Article
- Granulosa cell RNA-Seq insights into senescence and sphingolipid metabolism disorder in PCOS: aspirin as a potential therapeutic drug.Reproductive biology and endocrinology : RB&E · 2025Article
- Identification of mitophagy-related biomarkers and immune infiltration in polycystic ovarian syndrome by bioinformatic study.Heliyon · 2025Article
- Thyroid autoimmunity in different phenotypes of polycystic ovary syndrome: a single-center experience.Journal of endocrinological investigation · 2024Article
- Knowledge graph construction based on granulosa cells transcriptome from polycystic ovary syndrome with normoandrogen and hyperandrogen.Journal of ovarian research · 2024Article
- Predictive value of serum anti-endometrium antibody level in infertile patients with polycystic ovary syndrome.Irish journal of medical science · 2023Article
- N6-methyladenosine regulator-mediated methylation modification patterns and immune infiltration characterization in Polycystic Ovary Syndrome (PCOS).Journal of ovarian research · 2023Article
- Comprehensive bioinformatics analysis reveals biomarkers of DNA methylation-related genes in varicose veins.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe various diagnostic criteria for polycystic ovary syndrome (PCOS) raised problem for PCOS research worldwide. PCOS has been demonstrated to be significantly associated with immune response. We aimed to identify several immune-related biomarkers and construct a nomogram model for diagnosis in PCOS.
methodsThe mRNA expression data were downloaded from Gene Expression Omnibus (GEO) database. Significant immune-related genes were identified to be the biomarkers for the diagnosis of PCOS using random forest model (RF), support vector machine model (SVM) and generalized linear model (GLM). The key biomarkers were selected from the optimal model and were utilized to construct a diagnostic nomogram. Receiver operating characteristic (ROC) curves was used to evaluate diagnostic ability of nomogram. Moreover, the relative proportion of 22 immune cell types was calculated by CIBERSORT algorithm.
resultsFour immune-related biomarkers (cAMP, S100A9, TLR8 and IL6R) were demonstrated to be highly expressed in PCOS. The nomogram constructed on the ground of the four key biomarkers showed perfect performance in diagnosis of PCOS, whose AUC were greater than 0.7. Higher infiltrating abundance of neutrophils, resting NK cells and activated dendritic cells were observed in PCOS and were tightly associated with the four key biomarkers.
conclusionsThis study identified several immune-related diagnostic biomarkers for PCOS patients. The diagnostic nomogram constructed based the biomarkers provide a theory foundation for clinical application. Multiple immune cells were associated with the expression of these four biomarkers and might played a vital role in the procession of PCOS.
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