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Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis

INTRODUCTION: Recurrent implantation failure (RIF) is a frustrating challenge because the cause is unknown. The current study aims to identify differentially expressed genes (DEGs) in the endometrium on the basis of immune cell infiltration characteristics between RIF patients and healthy controls,...

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Autores principales: Lai, Zhen-Zhen, Zhang, Jie, Zhou, Wen-Jie, Shi, Jia-Wei, Yang, Hui-Li, Yang, Shao-Liang, Wu, Jiang-Nan, Xie, Feng, Zhang, Tao, Li, Ming-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909740/
https://www.ncbi.nlm.nih.gov/pubmed/36776897
http://dx.doi.org/10.3389/fimmu.2023.992765
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author Lai, Zhen-Zhen
Zhang, Jie
Zhou, Wen-Jie
Shi, Jia-Wei
Yang, Hui-Li
Yang, Shao-Liang
Wu, Jiang-Nan
Xie, Feng
Zhang, Tao
Li, Ming-Qing
author_facet Lai, Zhen-Zhen
Zhang, Jie
Zhou, Wen-Jie
Shi, Jia-Wei
Yang, Hui-Li
Yang, Shao-Liang
Wu, Jiang-Nan
Xie, Feng
Zhang, Tao
Li, Ming-Qing
author_sort Lai, Zhen-Zhen
collection PubMed
description INTRODUCTION: Recurrent implantation failure (RIF) is a frustrating challenge because the cause is unknown. The current study aims to identify differentially expressed genes (DEGs) in the endometrium on the basis of immune cell infiltration characteristics between RIF patients and healthy controls, as well as to investigate potential prognostic markers in RIF. METHODS: GSE103465, and GSE111974 datasets from the Gene Expression Omnibus database were obtained to screen DEGs between RIF and control groups. Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes Pathway analysis, Gene Set Enrichment Analysis, and Protein-protein interactions analysis were performed to investigate potential biological functions and signaling pathways. CIBERSORT was used to describe the level of immune infiltration in RIF, and flow cytometry was used to confirm the top two most abundant immune cells detected. RESULTS: 122 downregulated and 66 upregulated DEGs were obtained between RIF and control groups. Six immune-related hub genes were discovered, which were involved in Wnt/-catenin signaling and Notch signaling as a result of our research. The ROC curves revealed that three of the six identified genes (AKT1, PSMB8, and PSMD10) had potential diagnostic values for RIF. Finally, we used cMap analysis to identify potential therapeutic or induced compounds for RIF, among which fulvestrant (estrogen receptor antagonist), bisindolylmaleimide-ix (CDK and PKC inhibitor), and JNK-9L (JNK inhibitor) were thought to influence the pathogenic process of RIF. Furthermore, our findings revealed the level of immune infiltration in RIF by highlighting three signaling pathways (Wnt/-catenin signaling, Notch signaling, and immune response) and three potential diagnostic DEGs (AKT1, PSMB8, and PSMD10). CONCLUSION: Importantly, our findings may contribute to the scientific basis for several potential therapeutic agents to improve endometrial receptivity.
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spelling pubmed-99097402023-02-10 Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis Lai, Zhen-Zhen Zhang, Jie Zhou, Wen-Jie Shi, Jia-Wei Yang, Hui-Li Yang, Shao-Liang Wu, Jiang-Nan Xie, Feng Zhang, Tao Li, Ming-Qing Front Immunol Immunology INTRODUCTION: Recurrent implantation failure (RIF) is a frustrating challenge because the cause is unknown. The current study aims to identify differentially expressed genes (DEGs) in the endometrium on the basis of immune cell infiltration characteristics between RIF patients and healthy controls, as well as to investigate potential prognostic markers in RIF. METHODS: GSE103465, and GSE111974 datasets from the Gene Expression Omnibus database were obtained to screen DEGs between RIF and control groups. Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes Pathway analysis, Gene Set Enrichment Analysis, and Protein-protein interactions analysis were performed to investigate potential biological functions and signaling pathways. CIBERSORT was used to describe the level of immune infiltration in RIF, and flow cytometry was used to confirm the top two most abundant immune cells detected. RESULTS: 122 downregulated and 66 upregulated DEGs were obtained between RIF and control groups. Six immune-related hub genes were discovered, which were involved in Wnt/-catenin signaling and Notch signaling as a result of our research. The ROC curves revealed that three of the six identified genes (AKT1, PSMB8, and PSMD10) had potential diagnostic values for RIF. Finally, we used cMap analysis to identify potential therapeutic or induced compounds for RIF, among which fulvestrant (estrogen receptor antagonist), bisindolylmaleimide-ix (CDK and PKC inhibitor), and JNK-9L (JNK inhibitor) were thought to influence the pathogenic process of RIF. Furthermore, our findings revealed the level of immune infiltration in RIF by highlighting three signaling pathways (Wnt/-catenin signaling, Notch signaling, and immune response) and three potential diagnostic DEGs (AKT1, PSMB8, and PSMD10). CONCLUSION: Importantly, our findings may contribute to the scientific basis for several potential therapeutic agents to improve endometrial receptivity. Frontiers Media S.A. 2023-01-26 /pmc/articles/PMC9909740/ /pubmed/36776897 http://dx.doi.org/10.3389/fimmu.2023.992765 Text en Copyright © 2023 Lai, Zhang, Zhou, Shi, Yang, Yang, Wu, Xie, Zhang and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Lai, Zhen-Zhen
Zhang, Jie
Zhou, Wen-Jie
Shi, Jia-Wei
Yang, Hui-Li
Yang, Shao-Liang
Wu, Jiang-Nan
Xie, Feng
Zhang, Tao
Li, Ming-Qing
Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis
title Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis
title_full Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis
title_fullStr Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis
title_full_unstemmed Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis
title_short Identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis
title_sort identification of potential biomarkers and immune infiltration characteristics in recurrent implantation failure using bioinformatics analysis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909740/
https://www.ncbi.nlm.nih.gov/pubmed/36776897
http://dx.doi.org/10.3389/fimmu.2023.992765
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