Computational Analysis Reveals the Characteristics of Immune Cells in Glomerular and Tubulointerstitial Compartments in IgA Nephropathy Patients

Objective: The commonalities and differences regarding immune states between glomerular and tubulointerstitial compartments of IgA nephropathy (IgAN) remains largely undetermined. We aim to perform bioinformatic analysis for providing a comprehensive insight into the characteristics of immune cells...

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Main Authors: Bin Li, Suchun Li, Yuting Fan, Hui Diao, Siyang Ye, Huajing Peng, Wei Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.838863/full
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author Bin Li
Bin Li
Suchun Li
Suchun Li
Yuting Fan
Yuting Fan
Hui Diao
Hui Diao
Siyang Ye
Siyang Ye
Huajing Peng
Huajing Peng
Wei Chen
Wei Chen
author_facet Bin Li
Bin Li
Suchun Li
Suchun Li
Yuting Fan
Yuting Fan
Hui Diao
Hui Diao
Siyang Ye
Siyang Ye
Huajing Peng
Huajing Peng
Wei Chen
Wei Chen
author_sort Bin Li
collection DOAJ
description Objective: The commonalities and differences regarding immune states between glomerular and tubulointerstitial compartments of IgA nephropathy (IgAN) remains largely undetermined. We aim to perform bioinformatic analysis for providing a comprehensive insight into the characteristics of immune cells and associated molecular mechanisms in IgAN.Materials and Methods: We performed integrated bioinformatic analyses by using IgAN-related datasets from the Gene Expression Omnibus database. First, the differentially expressed genes (DEGs) were identified and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Then, CIBERSORT was employed to determine the landscape of infiltrating immune cells in both glomerular and tubulointerstitial compartments of IgAN patients, followed by Pearson’s correlation analysis and principal component analysis (PCA). Finally, commonly shared DEGs between glomerular and tubulointerstitial entities were recognized, followed by correlation analyses to identify the dominant commonly shared DEGs associated with immune cell infiltration in IgAN.Results: GO and KEGG enrichment analyses showed apparently distinct biological processes in the glomerular and tubulointerstitial compartments of IgAN. In addition, CIBERSORT analyses revealed a clear trend of increasing proportions of M1 macrophage and M2 macrophage in the glomerular compartment while noticeably higher proportions of resting CD4+ memory T cells and M2 macrophages in the tubulointerstitial compartments. The PCA analyses showed that the varying composition of immune cells in both glomerular and tubulointerstitial entities was compelling to distinguish IgAN patients from healthy living controls. In addition, 21 commonly shared DEGs between glomerular and tubulointerstitial entities were recognized as key regulators in the pathogenesis of IgAN, among which the enhanced hemoglobin subunit beta (HBB) gene expression was found to be positively associated with M2 macrophage in the glomerular compartment and resting CD4+ memory T cells in the tubulointerstitial compartment. Most importantly, FBJ murine osteosarcoma viral oncogene homolog B (FOSB) gene deficiency was recognized as the dominant alteration in promoting M2 macrophage infiltration in the glomerular compartment of IgAN.Conclusion: The findings from our current study for the first time reveal commonalities and differences regarding immune states between glomerular and tubulointerstitial compartments, as well as decode the essential role of M2 macrophages and associated molecular patterns within the microenvironments of IgAN.
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spelling doaj.art-b505cdd165bd4bf1a867ffaf76d186462022-12-22T01:54:42ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-05-011310.3389/fgene.2022.838863838863Computational Analysis Reveals the Characteristics of Immune Cells in Glomerular and Tubulointerstitial Compartments in IgA Nephropathy PatientsBin Li0Bin Li1Suchun Li2Suchun Li3Yuting Fan4Yuting Fan5Hui Diao6Hui Diao7Siyang Ye8Siyang Ye9Huajing Peng10Huajing Peng11Wei Chen12Wei Chen13Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaNHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, ChinaDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaNHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, ChinaDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaNHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, ChinaDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaNHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, ChinaDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaNHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, ChinaDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaNHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, ChinaDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaNHC Key Laboratory of Clinical Nephrology (Sun Yat-Sen University), Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, ChinaObjective: The commonalities and differences regarding immune states between glomerular and tubulointerstitial compartments of IgA nephropathy (IgAN) remains largely undetermined. We aim to perform bioinformatic analysis for providing a comprehensive insight into the characteristics of immune cells and associated molecular mechanisms in IgAN.Materials and Methods: We performed integrated bioinformatic analyses by using IgAN-related datasets from the Gene Expression Omnibus database. First, the differentially expressed genes (DEGs) were identified and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Then, CIBERSORT was employed to determine the landscape of infiltrating immune cells in both glomerular and tubulointerstitial compartments of IgAN patients, followed by Pearson’s correlation analysis and principal component analysis (PCA). Finally, commonly shared DEGs between glomerular and tubulointerstitial entities were recognized, followed by correlation analyses to identify the dominant commonly shared DEGs associated with immune cell infiltration in IgAN.Results: GO and KEGG enrichment analyses showed apparently distinct biological processes in the glomerular and tubulointerstitial compartments of IgAN. In addition, CIBERSORT analyses revealed a clear trend of increasing proportions of M1 macrophage and M2 macrophage in the glomerular compartment while noticeably higher proportions of resting CD4+ memory T cells and M2 macrophages in the tubulointerstitial compartments. The PCA analyses showed that the varying composition of immune cells in both glomerular and tubulointerstitial entities was compelling to distinguish IgAN patients from healthy living controls. In addition, 21 commonly shared DEGs between glomerular and tubulointerstitial entities were recognized as key regulators in the pathogenesis of IgAN, among which the enhanced hemoglobin subunit beta (HBB) gene expression was found to be positively associated with M2 macrophage in the glomerular compartment and resting CD4+ memory T cells in the tubulointerstitial compartment. Most importantly, FBJ murine osteosarcoma viral oncogene homolog B (FOSB) gene deficiency was recognized as the dominant alteration in promoting M2 macrophage infiltration in the glomerular compartment of IgAN.Conclusion: The findings from our current study for the first time reveal commonalities and differences regarding immune states between glomerular and tubulointerstitial compartments, as well as decode the essential role of M2 macrophages and associated molecular patterns within the microenvironments of IgAN.https://www.frontiersin.org/articles/10.3389/fgene.2022.838863/fullIgA nephropathyglomerulonephritisimmune cell landscapemacrophagesCIBERSORTbioinformatic analysis
spellingShingle Bin Li
Bin Li
Suchun Li
Suchun Li
Yuting Fan
Yuting Fan
Hui Diao
Hui Diao
Siyang Ye
Siyang Ye
Huajing Peng
Huajing Peng
Wei Chen
Wei Chen
Computational Analysis Reveals the Characteristics of Immune Cells in Glomerular and Tubulointerstitial Compartments in IgA Nephropathy Patients
Frontiers in Genetics
IgA nephropathy
glomerulonephritis
immune cell landscape
macrophages
CIBERSORT
bioinformatic analysis
title Computational Analysis Reveals the Characteristics of Immune Cells in Glomerular and Tubulointerstitial Compartments in IgA Nephropathy Patients
title_full Computational Analysis Reveals the Characteristics of Immune Cells in Glomerular and Tubulointerstitial Compartments in IgA Nephropathy Patients
title_fullStr Computational Analysis Reveals the Characteristics of Immune Cells in Glomerular and Tubulointerstitial Compartments in IgA Nephropathy Patients
title_full_unstemmed Computational Analysis Reveals the Characteristics of Immune Cells in Glomerular and Tubulointerstitial Compartments in IgA Nephropathy Patients
title_short Computational Analysis Reveals the Characteristics of Immune Cells in Glomerular and Tubulointerstitial Compartments in IgA Nephropathy Patients
title_sort computational analysis reveals the characteristics of immune cells in glomerular and tubulointerstitial compartments in iga nephropathy patients
topic IgA nephropathy
glomerulonephritis
immune cell landscape
macrophages
CIBERSORT
bioinformatic analysis
url https://www.frontiersin.org/articles/10.3389/fgene.2022.838863/full
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