Skeletal Muscle Immunometabolism in Women With Polycystic Ovary Syndrome: A Meta-Analysis

Frontiers in Physiology
Maria MantiAnna Benrick

Abstract

Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder affecting up to 15% of women at reproductive age. The main features of PCOS are hyperandrogenism and irregular menstrual cycles together with metabolic dysfunctions including hyperinsulinemia and insulin resistance and a 4-fold increased risk of developing type 2 diabetes. Despite the high prevalence the pathophysiology of the syndrome is unclear. Insulin resistance in women with PCOS likely affect the skeletal muscle and recently it was demonstrated that changes in DNA methylation affects the gene expression in skeletal muscle that in part can explain their metabolic abnormalities. The objective of this work was to combine gene expression array data from different datasets to improve statistical power and thereby identify novel biomarkers that can be further explored. In this narrative review, we performed a meta-analysis of skeletal muscle arrays available from Gene Expression Omnibus and from publications. The eligibility criteria were published articles in English, and baseline (no treatment) skeletal muscle samples from women with PCOS and controls. The R package Metafor was used for integration of the datasets. One hundred and fourteen unique transcri...Continue Reading

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Citations

Sep 12, 2021·Taiwanese Journal of Obstetrics & Gynecology·Qingfen ChenYunhong Lin

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Datasets Mentioned

BETA
GSE6798

Methods Mentioned

BETA
phosphotransferase
muscle

Software Mentioned

R package limma
R package DupChecker
Affymetrix
Array Express
DAVID
GEOquery R package
GSEA
DAVID Bioinformatics Resources
gplot
Prisma

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