Cargando…
Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis
INTRODUCTION: Lupus nephritis (LN) is a major risk factor of morbidity and mortality. Glomerular injury is associated with different pathogeneses and clinical presentations in LN patients. However, the molecular mechanisms involved are not well understood. This study aimed to explore the molecular c...
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/PMC9092496/ https://www.ncbi.nlm.nih.gov/pubmed/35572531 http://dx.doi.org/10.3389/fimmu.2022.843576 |
_version_ | 1784705152295370752 |
---|---|
author | Qijiao, Wei Zhihan, Chen Makota, Panashe Qing, Yan Fei, Gao Zhihong, Wang He, Lin |
author_facet | Qijiao, Wei Zhihan, Chen Makota, Panashe Qing, Yan Fei, Gao Zhihong, Wang He, Lin |
author_sort | Qijiao, Wei |
collection | PubMed |
description | INTRODUCTION: Lupus nephritis (LN) is a major risk factor of morbidity and mortality. Glomerular injury is associated with different pathogeneses and clinical presentations in LN patients. However, the molecular mechanisms involved are not well understood. This study aimed to explore the molecular characteristics and mechanisms of this disease using bioinformatics analysis. METHODS: To characterize glomeruli in LN, microarray datasets GSE113342 and GSE32591 were downloaded from the Gene Expression Omnibus database and analyzed to determine the differentially expressed genes (DEGs) between LN glomeruli and normal glomeruli. Functional enrichment analyses and protein–protein interaction network analyses were then performed. Module analysis was performed using the Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape software. Immunofluorescence staining was performed to identify the glomerular expression of S100A8 in various International Society of Nephrology/Renal Pathology Society (ISN/RPS) class LN patients. The image of each glomerulus was acquired using a digital imaging system, and the green fluorescence intensity was quantified using Image-Pro Plus software. RESULTS: A total of 13 DEGs, consisting of 12 downregulated genes and one upregulated gene (S100A8), were identified in the microarray datasets. The functions and pathways associated with the DEGs mainly include inflammatory response, innate immune response, neutrophil chemotaxis, leukocyte migration, cell adhesion, cell–cell signaling, and infection. We also found that monocytes and activated natural killer cells were upregulated in both GSE113342 and GSE32591. Glomerular S100A8 staining was significantly enhanced compared to that in the controls, especially in class IV. CONCLUSIONS: The DEGs identified in the present study help us understand the underlying molecular mechanisms of LN. Our results show that glomerular S100A8 expression varies in different pathological types; however, further research is required to confirm the role of S100A8 in LN. |
format | Online Article Text |
id | pubmed-9092496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90924962022-05-12 Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis Qijiao, Wei Zhihan, Chen Makota, Panashe Qing, Yan Fei, Gao Zhihong, Wang He, Lin Front Immunol Immunology INTRODUCTION: Lupus nephritis (LN) is a major risk factor of morbidity and mortality. Glomerular injury is associated with different pathogeneses and clinical presentations in LN patients. However, the molecular mechanisms involved are not well understood. This study aimed to explore the molecular characteristics and mechanisms of this disease using bioinformatics analysis. METHODS: To characterize glomeruli in LN, microarray datasets GSE113342 and GSE32591 were downloaded from the Gene Expression Omnibus database and analyzed to determine the differentially expressed genes (DEGs) between LN glomeruli and normal glomeruli. Functional enrichment analyses and protein–protein interaction network analyses were then performed. Module analysis was performed using the Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape software. Immunofluorescence staining was performed to identify the glomerular expression of S100A8 in various International Society of Nephrology/Renal Pathology Society (ISN/RPS) class LN patients. The image of each glomerulus was acquired using a digital imaging system, and the green fluorescence intensity was quantified using Image-Pro Plus software. RESULTS: A total of 13 DEGs, consisting of 12 downregulated genes and one upregulated gene (S100A8), were identified in the microarray datasets. The functions and pathways associated with the DEGs mainly include inflammatory response, innate immune response, neutrophil chemotaxis, leukocyte migration, cell adhesion, cell–cell signaling, and infection. We also found that monocytes and activated natural killer cells were upregulated in both GSE113342 and GSE32591. Glomerular S100A8 staining was significantly enhanced compared to that in the controls, especially in class IV. CONCLUSIONS: The DEGs identified in the present study help us understand the underlying molecular mechanisms of LN. Our results show that glomerular S100A8 expression varies in different pathological types; however, further research is required to confirm the role of S100A8 in LN. Frontiers Media S.A. 2022-04-27 /pmc/articles/PMC9092496/ /pubmed/35572531 http://dx.doi.org/10.3389/fimmu.2022.843576 Text en Copyright © 2022 Qijiao, Zhihan, Makota, Qing, Fei, Zhihong and He 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 Qijiao, Wei Zhihan, Chen Makota, Panashe Qing, Yan Fei, Gao Zhihong, Wang He, Lin Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis |
title | Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis |
title_full | Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis |
title_fullStr | Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis |
title_full_unstemmed | Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis |
title_short | Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis |
title_sort | glomerular expression of s100a8 in lupus nephritis: an integrated bioinformatics analysis |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092496/ https://www.ncbi.nlm.nih.gov/pubmed/35572531 http://dx.doi.org/10.3389/fimmu.2022.843576 |
work_keys_str_mv | AT qijiaowei glomerularexpressionofs100a8inlupusnephritisanintegratedbioinformaticsanalysis AT zhihanchen glomerularexpressionofs100a8inlupusnephritisanintegratedbioinformaticsanalysis AT makotapanashe glomerularexpressionofs100a8inlupusnephritisanintegratedbioinformaticsanalysis AT qingyan glomerularexpressionofs100a8inlupusnephritisanintegratedbioinformaticsanalysis AT feigao glomerularexpressionofs100a8inlupusnephritisanintegratedbioinformaticsanalysis AT zhihongwang glomerularexpressionofs100a8inlupusnephritisanintegratedbioinformaticsanalysis AT helin glomerularexpressionofs100a8inlupusnephritisanintegratedbioinformaticsanalysis |