Publication:
A Systematic Review and Integrated Bioinformatic Analysis of Candidate Genes and Pathways in the Endometrium of Patients With Polycystic Ovary Syndrome During the Implantation Window

dc.contributor.authorZulazmi Sutajien_US
dc.contributor.authorMarjanu Hikmah Eliasen_US
dc.contributor.authorMohd Faizal Ahmaden_US
dc.contributor.authorAbdul Kadir Abdul Karimen_US
dc.contributor.authorMuhammad Azrai Abuen_US
dc.date.accessioned2024-05-28T05:59:13Z
dc.date.available2024-05-28T05:59:13Z
dc.date.issued2022
dc.date.submitted2022-7-27
dc.descriptionFrontiers in Endocrinology | www.frontiersin.org 1 July 2022 | Volume 13 | Article 900767en_US
dc.description.abstractPolycystic ovary syndrome (PCOS) is a common disorder with wide-ranging clinical heterogeneity that causes infertility. However, the comprehensive molecular mechanisms of PCOS in causing infertility is remaining unclear. Hence, a comprehensive literature search was conducted using PubMed, Scopus, EBSCOhost, and Science Direct. Medical Subject Heading (MeSH) terms like PCOS, gene expression, implantation window and endometrium were used as the keywords. From 138 studies retrieved, original articles with RNA profiling on human endometrial tissues in PCOS women during the implantation window were included. Study design, sample size, sample type, method, and differentially expressed genes (DEGs) were identified from all publications. The DEGs were analyzed using the software packages DAVID, STRING, and Cytoscape. Three studies that met inclusion criteria were included, and 368 DEGs were identified. Twelve significant clusters from the protein-protein interaction network (PPI) complex were found, and cluster 1 showed very high intermolecular interactions. Five candidate genes (AURKA, CDC25C, KIF23, KIF2C, and NDC80) were identified from the systematic review and integrated bioinformatics analysis. It is concluded that cell cycle is the fundamental biological processes that were dysregulated in the endometrium of PCOS women, affecting decidualization progression in the endometrium during the implantation window.en_US
dc.identifier.citationSutaji Z, Elias MH, Ahmad MF, Karim AKA and Abu MA (2022) A Systematic Review and Integrated Bioinformatic Analysis of Candidate Genes and Pathways in the Endometrium of Patients With Polycystic Ovary Syndrome During the Implantation Window. Front. Endocrinol. 13:900767. doi: 10.3389/fendo.2022.900767en_US
dc.identifier.doi10.3389/fendo.2022.900767
dc.identifier.epage10
dc.identifier.issn1664-2392
dc.identifier.issue900767
dc.identifier.other2160-21
dc.identifier.spage1
dc.identifier.urihttps://www.frontiersin.org/articles/10.3389/fendo.2022.900767/full
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/6909
dc.identifier.volume13
dc.language.isoenen_US
dc.publisherFrontiersen_US
dc.relation.ispartofFrontiers in Endocrinologyen_US
dc.subjectpolycystic ovary syndrome, implantation window, endometrium, differentially expressed genes, systematic reviewen_US
dc.titleA Systematic Review and Integrated Bioinformatic Analysis of Candidate Genes and Pathways in the Endometrium of Patients With Polycystic Ovary Syndrome During the Implantation Windowen_US
dc.typeArticleen_US
dspace.entity.typePublication

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