ArticleFrontiers in immunology2022
Glomerular Expression of S100A8 in Lupus Nephritis: An Integrated Bioinformatics Analysis.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- S100A8/A9 in Kidney Diseases: Mechanisms, Spatiotemporal Regulation, Biomarker Potential, and Therapeutic Implications.Journal of inflammation research · 2026Review
- Overproduction of Mitochondrial Fission Proteins and Mitochondrial Fission in Podocytes of Lupus Nephritis Patients.Journal of inflammation research · 2024Article
- Applying 12 machine learning algorithms and Non-negative Matrix Factorization for robust prediction of lupus nephritis.Frontiers in immunology · 2024Article
- ATF5 regulates tubulointerstitial injury in diabetic kidney disease via mitochondrial unfolded protein response.Molecular medicine (Cambridge, Mass.) · 2023Article
- Editorial: New biomarkers for the diagnosis and treatment of systemic lupus erythematosus.Frontiers in immunology · 2022Article
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7 authors at 2 institutions in 1 country.
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Abstract
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.
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