Cargando…

Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities

Polycystic ovary syndrome (PCOS) is a complex multigenic disorder and women with PCOS suffer from several comorbidities. Although, obesity is a known risk factor for PCOS, the incidence of lean women with PCOS is on the rise. A systematic and comparative study on lean and obese PCOS with respect to...

Descripción completa

Detalles Bibliográficos
Autores principales: Idicula-Thomas, Susan, Gawde, Ulka, Bhaye, Sameeksha, Pokar, Khushal, Bader, Gary D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352056/
https://www.ncbi.nlm.nih.gov/pubmed/32695266
http://dx.doi.org/10.1016/j.csbj.2020.06.023
_version_ 1783557549676560384
author Idicula-Thomas, Susan
Gawde, Ulka
Bhaye, Sameeksha
Pokar, Khushal
Bader, Gary D.
author_facet Idicula-Thomas, Susan
Gawde, Ulka
Bhaye, Sameeksha
Pokar, Khushal
Bader, Gary D.
author_sort Idicula-Thomas, Susan
collection PubMed
description Polycystic ovary syndrome (PCOS) is a complex multigenic disorder and women with PCOS suffer from several comorbidities. Although, obesity is a known risk factor for PCOS, the incidence of lean women with PCOS is on the rise. A systematic and comparative study on lean and obese PCOS with respect to genes, pathways and comorbidity analysis has not been attempted so far. Analysis of differentially expressed genes (DEGs) across tissue types for lean and obese PCOS revealed that the majority of them were downregulated for lean and obese PCOS. Ovarian and endometrial tissues shared several commonly dysregulated genes, suggesting shared PCOS pathophysiology mechanisms exist across tissues. Several pathways for cellular homeostasis, such as inflammation and immune response, insulin signaling, steroidogenesis, hormonal and metabolic signaling, regulation of gonadotrophic hormone secretion, cell structure and signaling that are known to be affected in PCOS were found to be enriched in our gene expression analysis of lean and obese PCOS. The gene-disease network is denser for obese PCOS with a higher comorbidity score as compared to lean PCOS.
format Online
Article
Text
id pubmed-7352056
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Research Network of Computational and Structural Biotechnology
record_format MEDLINE/PubMed
spelling pubmed-73520562020-07-20 Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities Idicula-Thomas, Susan Gawde, Ulka Bhaye, Sameeksha Pokar, Khushal Bader, Gary D. Comput Struct Biotechnol J Research Article Polycystic ovary syndrome (PCOS) is a complex multigenic disorder and women with PCOS suffer from several comorbidities. Although, obesity is a known risk factor for PCOS, the incidence of lean women with PCOS is on the rise. A systematic and comparative study on lean and obese PCOS with respect to genes, pathways and comorbidity analysis has not been attempted so far. Analysis of differentially expressed genes (DEGs) across tissue types for lean and obese PCOS revealed that the majority of them were downregulated for lean and obese PCOS. Ovarian and endometrial tissues shared several commonly dysregulated genes, suggesting shared PCOS pathophysiology mechanisms exist across tissues. Several pathways for cellular homeostasis, such as inflammation and immune response, insulin signaling, steroidogenesis, hormonal and metabolic signaling, regulation of gonadotrophic hormone secretion, cell structure and signaling that are known to be affected in PCOS were found to be enriched in our gene expression analysis of lean and obese PCOS. The gene-disease network is denser for obese PCOS with a higher comorbidity score as compared to lean PCOS. Research Network of Computational and Structural Biotechnology 2020-06-21 /pmc/articles/PMC7352056/ /pubmed/32695266 http://dx.doi.org/10.1016/j.csbj.2020.06.023 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Idicula-Thomas, Susan
Gawde, Ulka
Bhaye, Sameeksha
Pokar, Khushal
Bader, Gary D.
Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities
title Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities
title_full Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities
title_fullStr Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities
title_full_unstemmed Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities
title_short Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities
title_sort meta-analysis of gene expression profiles of lean and obese pcos to identify differentially regulated pathways and risk of comorbidities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352056/
https://www.ncbi.nlm.nih.gov/pubmed/32695266
http://dx.doi.org/10.1016/j.csbj.2020.06.023
work_keys_str_mv AT idiculathomassusan metaanalysisofgeneexpressionprofilesofleanandobesepcostoidentifydifferentiallyregulatedpathwaysandriskofcomorbidities
AT gawdeulka metaanalysisofgeneexpressionprofilesofleanandobesepcostoidentifydifferentiallyregulatedpathwaysandriskofcomorbidities
AT bhayesameeksha metaanalysisofgeneexpressionprofilesofleanandobesepcostoidentifydifferentiallyregulatedpathwaysandriskofcomorbidities
AT pokarkhushal metaanalysisofgeneexpressionprofilesofleanandobesepcostoidentifydifferentiallyregulatedpathwaysandriskofcomorbidities
AT badergaryd metaanalysisofgeneexpressionprofilesofleanandobesepcostoidentifydifferentiallyregulatedpathwaysandriskofcomorbidities