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Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure

The molecular mechanisms underlying unexplained recurrent implantation failure (RIF) remain unclear. This study aimed at identifying potential biomarkers, exploring relevant signaling pathways, and analyzing the contribution of immune cell infiltration in RIF. Microarray expression datasets were ext...

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Detalles Bibliográficos
Autores principales: Li, Fangfang, Gao, Wenxin, Li, Yanmei, Wang, Yiqing, Liu, Lin, Zhang, Xuehong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046278/
https://www.ncbi.nlm.nih.gov/pubmed/36979341
http://dx.doi.org/10.3390/biom13030406
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author Li, Fangfang
Gao, Wenxin
Li, Yanmei
Wang, Yiqing
Liu, Lin
Zhang, Xuehong
author_facet Li, Fangfang
Gao, Wenxin
Li, Yanmei
Wang, Yiqing
Liu, Lin
Zhang, Xuehong
author_sort Li, Fangfang
collection PubMed
description The molecular mechanisms underlying unexplained recurrent implantation failure (RIF) remain unclear. This study aimed at identifying potential biomarkers, exploring relevant signaling pathways, and analyzing the contribution of immune cell infiltration in RIF. Microarray expression datasets were extracted from the Gene Expression Omnibus database to perform bioinformatic analyses. The results showed that ten hub genes may predict RIF with high specificity and sensitivity (area under the curve = 1.000). Protein–protein interaction analysis revealed close interactions between the hub genes and the endometrial receptivity array. The real-time quantitative polymerase chain reaction further validated three potential biomarkers (RAB32, TRIB2, and FAM155B). Functional enrichment analyses indicated that immune pathways were significantly downregulated and lipid metabolism pathways were significantly upregulated in RIF compared with the controls. Significant negative correlations were observed between fatty acid biosynthesis and the immune pathways. Immune cell infiltration, including those in CD56dim natural killer, dendritic, Th1, Th2, and regulatory T cells, as well as macrophages, was significantly reduced in RIF compared with the controls used herein. This study may provide a novel perspective on the diagnosis and treatment of RIF.
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spelling pubmed-100462782023-03-29 Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure Li, Fangfang Gao, Wenxin Li, Yanmei Wang, Yiqing Liu, Lin Zhang, Xuehong Biomolecules Article The molecular mechanisms underlying unexplained recurrent implantation failure (RIF) remain unclear. This study aimed at identifying potential biomarkers, exploring relevant signaling pathways, and analyzing the contribution of immune cell infiltration in RIF. Microarray expression datasets were extracted from the Gene Expression Omnibus database to perform bioinformatic analyses. The results showed that ten hub genes may predict RIF with high specificity and sensitivity (area under the curve = 1.000). Protein–protein interaction analysis revealed close interactions between the hub genes and the endometrial receptivity array. The real-time quantitative polymerase chain reaction further validated three potential biomarkers (RAB32, TRIB2, and FAM155B). Functional enrichment analyses indicated that immune pathways were significantly downregulated and lipid metabolism pathways were significantly upregulated in RIF compared with the controls. Significant negative correlations were observed between fatty acid biosynthesis and the immune pathways. Immune cell infiltration, including those in CD56dim natural killer, dendritic, Th1, Th2, and regulatory T cells, as well as macrophages, was significantly reduced in RIF compared with the controls used herein. This study may provide a novel perspective on the diagnosis and treatment of RIF. MDPI 2023-02-21 /pmc/articles/PMC10046278/ /pubmed/36979341 http://dx.doi.org/10.3390/biom13030406 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Fangfang
Gao, Wenxin
Li, Yanmei
Wang, Yiqing
Liu, Lin
Zhang, Xuehong
Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure
title Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure
title_full Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure
title_fullStr Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure
title_full_unstemmed Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure
title_short Potential Biomarkers and Endometrial Immune Microenvironment in Recurrent Implantation Failure
title_sort potential biomarkers and endometrial immune microenvironment in recurrent implantation failure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046278/
https://www.ncbi.nlm.nih.gov/pubmed/36979341
http://dx.doi.org/10.3390/biom13030406
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