Pain related genes in endometriosis: A meta-analysis

Manika Saxena
2015 · W1258348663
dissertation OA: green CC0
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This meta-analysis of microarray data found pain-related genes are significantly upregulated in eutopic endometrium and endometriotic lesions of women with endometriosis, especially during the secretory phase.

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Abstract

Endometriosis is often associated with chronic pelvic pain. Processes involved in pain generation include neuronal development, peripheral sensitisation due to inflammation, signal transduction, conduction and pain modulation. A range of genes play important roles in these processes and their expression levels are altered in other pain conditions. Dysregulated genes may contribute to pain generation in women with endometriosis. The aim of this study was to investigate the expression of pain related genes in women with endometriosis compared to women without endometriosis by conducting a meta-analysis of available microarray gene expression data and associated clinical information. \n \nSuitable studies and data were identified from electronic databases, gene expression repositories and within a University Obstetrics and Gynaecology department. Sixteen published studies and one unpublished thesis were included. RNA hybridisation with whole human genome microarray data were extracted and dysregulated gene expression determined through meta-analyses of microarray data. \n \nThis study showed that in the eutopic endometrium from women with endometriosis and endometriotic lesions, pain related genes were significantly upregulated. Genes involved in pain generation were also upregulated in the secretory phase of the menstrual cycle in endometriosis. Upregulation of genes involved in pain generation likely contributes to pain symptoms in women with endometriosis.

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Condition tags

endometriosischronic_pelvic_pain

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

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