Cargando…
Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk RNA-sequencing
Recurrent miscarriage (RM) is a chronic, heterogeneous autoimmune disease that has serious social and personal consequences. No valid and reliable diagnostic markers or therapeutic targets for RM have been identified. Macrophages impact the innate immune system and can be used as diagnostic and prog...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692009/ https://www.ncbi.nlm.nih.gov/pubmed/36439123 http://dx.doi.org/10.3389/fimmu.2022.1053819 |
_version_ | 1784837163103289344 |
---|---|
author | Wei, Peiru Dong, Mingyou Bi, Yin Chen, Saiqiong Huang, Weiyu Li, Ting Liu, Bo Fu, Xiaoqian Yang, Yihua |
author_facet | Wei, Peiru Dong, Mingyou Bi, Yin Chen, Saiqiong Huang, Weiyu Li, Ting Liu, Bo Fu, Xiaoqian Yang, Yihua |
author_sort | Wei, Peiru |
collection | PubMed |
description | Recurrent miscarriage (RM) is a chronic, heterogeneous autoimmune disease that has serious social and personal consequences. No valid and reliable diagnostic markers or therapeutic targets for RM have been identified. Macrophages impact the innate immune system and can be used as diagnostic and prognostic markers for many diseases. We first collected 16 decidua and villi tissue samples from 5 normal patients and 3 RM patients for single-cell RNA sequencing data analysis and identified 1293 macrophage marker genes. We then screened a recurrent miscarriage cohort (GSE165004) for 186 macrophage-associated marker genes that were significantly differentially expressed between RM patients and the normal pregnancy endometrial tissues, and performed a functional enrichment analysis of differentially expressed genes. We then identified seven core genes (ACTR2, CD2AP, MBNL2, NCSTN, PUM1, RPN2, and TBC1D12) from the above differentially expressed gene group that are closely related to RM using the LASSO, Random Forest and SVM-RFE algorithms. We also used GSE26787 and our own collection of clinical specimens to further evaluate the diagnostic value of the target genes. A nomogram was constructed of the expression levels of these seven target genes to predict RM, and the ROC and calibration curves showed that our nomogram had a high diagnostic value for RM. These results suggest that ACTR2 and NCSTN may be potential targets for preventative RM treatments. |
format | Online Article Text |
id | pubmed-9692009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96920092022-11-26 Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk RNA-sequencing Wei, Peiru Dong, Mingyou Bi, Yin Chen, Saiqiong Huang, Weiyu Li, Ting Liu, Bo Fu, Xiaoqian Yang, Yihua Front Immunol Immunology Recurrent miscarriage (RM) is a chronic, heterogeneous autoimmune disease that has serious social and personal consequences. No valid and reliable diagnostic markers or therapeutic targets for RM have been identified. Macrophages impact the innate immune system and can be used as diagnostic and prognostic markers for many diseases. We first collected 16 decidua and villi tissue samples from 5 normal patients and 3 RM patients for single-cell RNA sequencing data analysis and identified 1293 macrophage marker genes. We then screened a recurrent miscarriage cohort (GSE165004) for 186 macrophage-associated marker genes that were significantly differentially expressed between RM patients and the normal pregnancy endometrial tissues, and performed a functional enrichment analysis of differentially expressed genes. We then identified seven core genes (ACTR2, CD2AP, MBNL2, NCSTN, PUM1, RPN2, and TBC1D12) from the above differentially expressed gene group that are closely related to RM using the LASSO, Random Forest and SVM-RFE algorithms. We also used GSE26787 and our own collection of clinical specimens to further evaluate the diagnostic value of the target genes. A nomogram was constructed of the expression levels of these seven target genes to predict RM, and the ROC and calibration curves showed that our nomogram had a high diagnostic value for RM. These results suggest that ACTR2 and NCSTN may be potential targets for preventative RM treatments. Frontiers Media S.A. 2022-11-11 /pmc/articles/PMC9692009/ /pubmed/36439123 http://dx.doi.org/10.3389/fimmu.2022.1053819 Text en Copyright © 2022 Wei, Dong, Bi, Chen, Huang, Li, Liu, Fu and Yang 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 Wei, Peiru Dong, Mingyou Bi, Yin Chen, Saiqiong Huang, Weiyu Li, Ting Liu, Bo Fu, Xiaoqian Yang, Yihua Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk RNA-sequencing |
title | Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk RNA-sequencing |
title_full | Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk RNA-sequencing |
title_fullStr | Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk RNA-sequencing |
title_full_unstemmed | Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk RNA-sequencing |
title_short | Identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk RNA-sequencing |
title_sort | identification and validation of a signature based on macrophage cell marker genes to predict recurrent miscarriage by integrated analysis of single-cell and bulk rna-sequencing |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692009/ https://www.ncbi.nlm.nih.gov/pubmed/36439123 http://dx.doi.org/10.3389/fimmu.2022.1053819 |
work_keys_str_mv | AT weipeiru identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing AT dongmingyou identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing AT biyin identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing AT chensaiqiong identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing AT huangweiyu identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing AT liting identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing AT liubo identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing AT fuxiaoqian identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing AT yangyihua identificationandvalidationofasignaturebasedonmacrophagecellmarkergenestopredictrecurrentmiscarriagebyintegratedanalysisofsinglecellandbulkrnasequencing |