Cargando…

Decoding the Intercellular Cross-Talking Between Immune Cells and Renal Innate Cells in Diabetic Kidney Disease by Bioinformatics

AIM: Diabetic kidney disease (DKD) continues to be devastating complication of diabetes mellitus. Immune response and inflammatory reaction play essential roles in the progression of DKD. But the specific mechanism of immune cells, and their act on renal innate cells remains unclear. This article fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Meng, Lu, Fang, Jiang, Ling, Chen, Chen, Chen, Si, Geng, Luhan, Sun, Rui, Li, Qing, Duan, Suyan, Zhang, Bo, Mao, Huijuan, Xing, Changying, Yuan, Yanggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368133/
https://www.ncbi.nlm.nih.gov/pubmed/37497063
http://dx.doi.org/10.2147/JIR.S409017
_version_ 1785077450682662912
author Zhou, Meng
Lu, Fang
Jiang, Ling
Chen, Chen
Chen, Si
Geng, Luhan
Sun, Rui
Li, Qing
Duan, Suyan
Zhang, Bo
Mao, Huijuan
Xing, Changying
Yuan, Yanggang
author_facet Zhou, Meng
Lu, Fang
Jiang, Ling
Chen, Chen
Chen, Si
Geng, Luhan
Sun, Rui
Li, Qing
Duan, Suyan
Zhang, Bo
Mao, Huijuan
Xing, Changying
Yuan, Yanggang
author_sort Zhou, Meng
collection PubMed
description AIM: Diabetic kidney disease (DKD) continues to be devastating complication of diabetes mellitus. Immune response and inflammatory reaction play essential roles in the progression of DKD. But the specific mechanism of immune cells, and their act on renal innate cells remains unclear. This article focused on immune cells and their communication with renal innate cells to provide bioinformatic evidence for further understanding the immune mechanism in DKD. METHODS: Data were analyzed to evaluate the differentially expressed genes (DEGs) and their pathways in DKD patients and mice. Gene set enrichment analysis (GSEA) was used to explore the immune inflammation-related pathways. CIBERSORT was applied to evaluate the distribution of inflammatory cells in different states. Cell-type DEGs and their enrichment pathways were further explored in podocytes, proximal tubule cells and injured tubule cells. Cellchat was used to reveal the cellular communication between immune cells and renal innate cells in DKD. RESULTS: GO and KEGG analysis showed that DEGs were mainly enriched in immune inflammation-related pathways. Monocytes, M2 macrophages and T cells were significantly increased in DKD samples, especially in renal tubule. ScRNA datasets showed that the immune cells number in DKD were significantly increased. Cell-type DEGs were involved in kidney growth and development. In DKD, the interaction numbers and strength between immune cells and innate cells were significantly increased. VISTANT, SPP1 and IGF signal flow were increased in DKD. SPP1-CD44, NRG1-ERBB4, NAMPT-INSR, and Igf1-Igf1r receptor ligand pairs were enhanced in DKD, which mediated the communication between immune-inflammatory cells and innate cells. CONCLUSION: Our study explored the pathogenesis of renal injury promoted by immunoinflammatory in DKD. VISTANT, SPP1, and IGF signaling pathways and SPP1-CD44, NRG1-ERBB4, NAMPT-INSR, and Igf1- Igf1r receptor ligand pairs might occupy essential place in the occurrence and progress of DKD.
format Online
Article
Text
id pubmed-10368133
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-103681332023-07-26 Decoding the Intercellular Cross-Talking Between Immune Cells and Renal Innate Cells in Diabetic Kidney Disease by Bioinformatics Zhou, Meng Lu, Fang Jiang, Ling Chen, Chen Chen, Si Geng, Luhan Sun, Rui Li, Qing Duan, Suyan Zhang, Bo Mao, Huijuan Xing, Changying Yuan, Yanggang J Inflamm Res Original Research AIM: Diabetic kidney disease (DKD) continues to be devastating complication of diabetes mellitus. Immune response and inflammatory reaction play essential roles in the progression of DKD. But the specific mechanism of immune cells, and their act on renal innate cells remains unclear. This article focused on immune cells and their communication with renal innate cells to provide bioinformatic evidence for further understanding the immune mechanism in DKD. METHODS: Data were analyzed to evaluate the differentially expressed genes (DEGs) and their pathways in DKD patients and mice. Gene set enrichment analysis (GSEA) was used to explore the immune inflammation-related pathways. CIBERSORT was applied to evaluate the distribution of inflammatory cells in different states. Cell-type DEGs and their enrichment pathways were further explored in podocytes, proximal tubule cells and injured tubule cells. Cellchat was used to reveal the cellular communication between immune cells and renal innate cells in DKD. RESULTS: GO and KEGG analysis showed that DEGs were mainly enriched in immune inflammation-related pathways. Monocytes, M2 macrophages and T cells were significantly increased in DKD samples, especially in renal tubule. ScRNA datasets showed that the immune cells number in DKD were significantly increased. Cell-type DEGs were involved in kidney growth and development. In DKD, the interaction numbers and strength between immune cells and innate cells were significantly increased. VISTANT, SPP1 and IGF signal flow were increased in DKD. SPP1-CD44, NRG1-ERBB4, NAMPT-INSR, and Igf1-Igf1r receptor ligand pairs were enhanced in DKD, which mediated the communication between immune-inflammatory cells and innate cells. CONCLUSION: Our study explored the pathogenesis of renal injury promoted by immunoinflammatory in DKD. VISTANT, SPP1, and IGF signaling pathways and SPP1-CD44, NRG1-ERBB4, NAMPT-INSR, and Igf1- Igf1r receptor ligand pairs might occupy essential place in the occurrence and progress of DKD. Dove 2023-07-21 /pmc/articles/PMC10368133/ /pubmed/37497063 http://dx.doi.org/10.2147/JIR.S409017 Text en © 2023 Zhou et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zhou, Meng
Lu, Fang
Jiang, Ling
Chen, Chen
Chen, Si
Geng, Luhan
Sun, Rui
Li, Qing
Duan, Suyan
Zhang, Bo
Mao, Huijuan
Xing, Changying
Yuan, Yanggang
Decoding the Intercellular Cross-Talking Between Immune Cells and Renal Innate Cells in Diabetic Kidney Disease by Bioinformatics
title Decoding the Intercellular Cross-Talking Between Immune Cells and Renal Innate Cells in Diabetic Kidney Disease by Bioinformatics
title_full Decoding the Intercellular Cross-Talking Between Immune Cells and Renal Innate Cells in Diabetic Kidney Disease by Bioinformatics
title_fullStr Decoding the Intercellular Cross-Talking Between Immune Cells and Renal Innate Cells in Diabetic Kidney Disease by Bioinformatics
title_full_unstemmed Decoding the Intercellular Cross-Talking Between Immune Cells and Renal Innate Cells in Diabetic Kidney Disease by Bioinformatics
title_short Decoding the Intercellular Cross-Talking Between Immune Cells and Renal Innate Cells in Diabetic Kidney Disease by Bioinformatics
title_sort decoding the intercellular cross-talking between immune cells and renal innate cells in diabetic kidney disease by bioinformatics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368133/
https://www.ncbi.nlm.nih.gov/pubmed/37497063
http://dx.doi.org/10.2147/JIR.S409017
work_keys_str_mv AT zhoumeng decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT lufang decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT jiangling decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT chenchen decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT chensi decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT gengluhan decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT sunrui decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT liqing decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT duansuyan decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT zhangbo decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT maohuijuan decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT xingchangying decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics
AT yuanyanggang decodingtheintercellularcrosstalkingbetweenimmunecellsandrenalinnatecellsindiabetickidneydiseasebybioinformatics