Determining the Molecular Background of Endometrial Receptivity in Adenomyosis
Background: Adenomyosis is a gynaecological condition with limited evidence of negative impact to endometrial receptivity. It is commonly associated with endometriosis, which has been shown to alter endometrial expression patterns. Therefore, the candidate genes identified in endometriosis could ser...
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doaj-46213dfb45514629af584aa6f9dd426a2020-11-25T02:49:03ZengMDPI AGBiomolecules2218-273X2020-09-01101311131110.3390/biom10091311Determining the Molecular Background of Endometrial Receptivity in AdenomyosisErika Prašnikar0Tanja Kunej1Jure Knez2Katja Repnik3Uroš Potočnik4Borut Kovačič5Department of Reproductive Medicine and Gynaecological Endocrinology, University Medical Centre Maribor, 2000 Maribor, SloveniaDepartment of Animal Science, Biotechnical Faculty, University of Ljubljana, 1230 Domžale, SloveniaDepartment of Gynaecologic and Breast Oncology, University Medical Centre Maribor, 2000 Maribor, SloveniaCentre for Human Molecular Genetics and Pharmacogenomics, Medical faculty, University of Maribor, 2000 Maribor, SloveniaCentre for Human Molecular Genetics and Pharmacogenomics, Medical faculty, University of Maribor, 2000 Maribor, SloveniaDepartment of Reproductive Medicine and Gynaecological Endocrinology, University Medical Centre Maribor, 2000 Maribor, SloveniaBackground: Adenomyosis is a gynaecological condition with limited evidence of negative impact to endometrial receptivity. It is commonly associated with endometriosis, which has been shown to alter endometrial expression patterns. Therefore, the candidate genes identified in endometriosis could serve as a source to study endometrial function in adenomyosis. Methods: Transcripts/proteins associated with endometrial receptivity in women with adenomyosis or endometriosis and healthy women were obtained from publications and their nomenclature was adopted according to the HUGO Gene Nomenclature Committee (HGNC). Retrieved genes were analysed for enriched pathways using Cytoscape/Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and Reactome tools to prioritise candidates for endometrial receptivity. These were used for validation on women with (<i>n</i> = 9) and without (<i>n</i> = 13) adenomyosis. Results: Functional enrichment analysis of 173, 42 and 151 genes associated with endometriosis, adenomyosis and healthy women, respectively, revealed signalling by interleukins and interleukin-4 and interleukin-13 signalling pathways, from which annotated <i>LIF</i>, <i>JUNB</i>, <i>IL6</i>, <i>FOS</i>, <i>IL10</i> and <i>SOCS3</i> were prioritised. Selected genes showed downregulated expression levels in adenomyosis compared to the control group, but without statistical significance. Conclusion: This is the first integrative study providing putative candidate genes and pathways characterising endometrial receptivity in women with adenomyosis in comparison to healthy women and women with endometriosis.https://www.mdpi.com/2218-273X/10/9/1311adenomyosiscandidate genesendometrial receptivityendometriosisgene expressiongene set enrichment analysis (GSEA) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Erika Prašnikar Tanja Kunej Jure Knez Katja Repnik Uroš Potočnik Borut Kovačič |
spellingShingle |
Erika Prašnikar Tanja Kunej Jure Knez Katja Repnik Uroš Potočnik Borut Kovačič Determining the Molecular Background of Endometrial Receptivity in Adenomyosis Biomolecules adenomyosis candidate genes endometrial receptivity endometriosis gene expression gene set enrichment analysis (GSEA) |
author_facet |
Erika Prašnikar Tanja Kunej Jure Knez Katja Repnik Uroš Potočnik Borut Kovačič |
author_sort |
Erika Prašnikar |
title |
Determining the Molecular Background of Endometrial Receptivity in Adenomyosis |
title_short |
Determining the Molecular Background of Endometrial Receptivity in Adenomyosis |
title_full |
Determining the Molecular Background of Endometrial Receptivity in Adenomyosis |
title_fullStr |
Determining the Molecular Background of Endometrial Receptivity in Adenomyosis |
title_full_unstemmed |
Determining the Molecular Background of Endometrial Receptivity in Adenomyosis |
title_sort |
determining the molecular background of endometrial receptivity in adenomyosis |
publisher |
MDPI AG |
series |
Biomolecules |
issn |
2218-273X |
publishDate |
2020-09-01 |
description |
Background: Adenomyosis is a gynaecological condition with limited evidence of negative impact to endometrial receptivity. It is commonly associated with endometriosis, which has been shown to alter endometrial expression patterns. Therefore, the candidate genes identified in endometriosis could serve as a source to study endometrial function in adenomyosis. Methods: Transcripts/proteins associated with endometrial receptivity in women with adenomyosis or endometriosis and healthy women were obtained from publications and their nomenclature was adopted according to the HUGO Gene Nomenclature Committee (HGNC). Retrieved genes were analysed for enriched pathways using Cytoscape/Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and Reactome tools to prioritise candidates for endometrial receptivity. These were used for validation on women with (<i>n</i> = 9) and without (<i>n</i> = 13) adenomyosis. Results: Functional enrichment analysis of 173, 42 and 151 genes associated with endometriosis, adenomyosis and healthy women, respectively, revealed signalling by interleukins and interleukin-4 and interleukin-13 signalling pathways, from which annotated <i>LIF</i>, <i>JUNB</i>, <i>IL6</i>, <i>FOS</i>, <i>IL10</i> and <i>SOCS3</i> were prioritised. Selected genes showed downregulated expression levels in adenomyosis compared to the control group, but without statistical significance. Conclusion: This is the first integrative study providing putative candidate genes and pathways characterising endometrial receptivity in women with adenomyosis in comparison to healthy women and women with endometriosis. |
topic |
adenomyosis candidate genes endometrial receptivity endometriosis gene expression gene set enrichment analysis (GSEA) |
url |
https://www.mdpi.com/2218-273X/10/9/1311 |
work_keys_str_mv |
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