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

Polycystic 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, EB...

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Main Authors: Zulazmi Sutaji, Marjanu Hikmah Elias, Mohd Faizal Ahmad, Abdul Kadir Abdul Karim, Muhammad Azrai Abu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.900767/full
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author Zulazmi Sutaji
Zulazmi Sutaji
Marjanu Hikmah Elias
Mohd Faizal Ahmad
Abdul Kadir Abdul Karim
Muhammad Azrai Abu
author_facet Zulazmi Sutaji
Zulazmi Sutaji
Marjanu Hikmah Elias
Mohd Faizal Ahmad
Abdul Kadir Abdul Karim
Muhammad Azrai Abu
author_sort Zulazmi Sutaji
collection DOAJ
description Polycystic 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.
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spelling doaj.art-d53a5a344417457c876e6874161ff9512022-12-22T01:40:56ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-07-011310.3389/fendo.2022.900767900767A Systematic Review and Integrated Bioinformatic Analysis of Candidate Genes and Pathways in the Endometrium of Patients With Polycystic Ovary Syndrome During the Implantation WindowZulazmi Sutaji0Zulazmi Sutaji1Marjanu Hikmah Elias2Mohd Faizal Ahmad3Abdul Kadir Abdul Karim4Muhammad Azrai Abu5Department of Obstetrics & Gynecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, MalaysiaFaculty of Medicine & Health Sciences, Universiti Sains Islam Malaysia, Bandar Baru Nilai, MalaysiaFaculty of Medicine & Health Sciences, Universiti Sains Islam Malaysia, Bandar Baru Nilai, MalaysiaDepartment of Obstetrics & Gynecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, MalaysiaDepartment of Obstetrics & Gynecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, MalaysiaDepartment of Obstetrics & Gynecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, MalaysiaPolycystic 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.https://www.frontiersin.org/articles/10.3389/fendo.2022.900767/fullpolycystic ovary syndromeimplantation windowendometriumdifferentially expressed genessystematic review
spellingShingle Zulazmi Sutaji
Zulazmi Sutaji
Marjanu Hikmah Elias
Mohd Faizal Ahmad
Abdul Kadir Abdul Karim
Muhammad Azrai Abu
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
Frontiers in Endocrinology
polycystic ovary syndrome
implantation window
endometrium
differentially expressed genes
systematic review
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort systematic review and integrated bioinformatic analysis of candidate genes and pathways in the endometrium of patients with polycystic ovary syndrome during the implantation window
topic polycystic ovary syndrome
implantation window
endometrium
differentially expressed genes
systematic review
url https://www.frontiersin.org/articles/10.3389/fendo.2022.900767/full
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