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Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease
BACKGROUND: Diabetic kidney disease (DKD) is a major complication of diabetes and the leading cause of end-stage renal disease worldwide. Renal inflammation and infiltration of immune cells contribute to the development and progression of DKD. Thus, the aim of the present study was to identify and v...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150481/ https://www.ncbi.nlm.nih.gov/pubmed/37127580 http://dx.doi.org/10.1186/s12920-023-01519-6 |
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author | Chen, Shengnan Li, Bo Chen, Lei Jiang, Hongli |
author_facet | Chen, Shengnan Li, Bo Chen, Lei Jiang, Hongli |
author_sort | Chen, Shengnan |
collection | PubMed |
description | BACKGROUND: Diabetic kidney disease (DKD) is a major complication of diabetes and the leading cause of end-stage renal disease worldwide. Renal inflammation and infiltration of immune cells contribute to the development and progression of DKD. Thus, the aim of the present study was to identify and validate immune-related biomarkers and analyze potential regulators including transcription factors (TFs), microRNAs (miRNAs), and drugs for DKD. METHODS: Immune-related genes from the ImmPort database and glomeruli samples from GSE1009 and GSE30528 were used to identify differentially expressed immune-related genes (DEIRGs) of DKD. The expression level and clinical correlation analyses of DEIRGs were verified in the Nephroseq database. Murine podocytes were cultured to construct the high glucose-induced podocyte injury model. The reliability of the bioinformatics analysis was experimentally validated by RT-qPCR in podocytes. Networks among DEIRGs, regulators, and drugs were constructed to predict potential regulatory mechanisms for DKD. RESULTS: DKD-associated DEIRGs were identified. CCL19 and IL7R were significantly upregulated in the DKD group and negatively correlated with glomerular filtration rate (GFR). GHR, FGF1, FYN, VEGFA, F2R, TGFBR3, PTGDS, FGF9, and SEMA5A were significantly decreased in the DKD group and positively correlated with GFR. RT-qPCR showed that the relative mRNA expression levels of GHR, FGF1, FYN, TGFBR3, PTGDS, FGF9, and SEMA5A were significantly down-regulated in the high glucose-induced podocyte injury group. The enriched regulators for DEIRGs included 110 miRNAs and 8 TFs. The abnormal expression of DEIRGs could be regulated by 16 established drugs. CONCLUSIONS: This study identified immune-related biomarkers, regulators, and drugs of DKD. The findings of the present study provide novel insights into immune-related diagnosis and treatment of DKD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01519-6. |
format | Online Article Text |
id | pubmed-10150481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101504812023-05-02 Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease Chen, Shengnan Li, Bo Chen, Lei Jiang, Hongli BMC Med Genomics Research BACKGROUND: Diabetic kidney disease (DKD) is a major complication of diabetes and the leading cause of end-stage renal disease worldwide. Renal inflammation and infiltration of immune cells contribute to the development and progression of DKD. Thus, the aim of the present study was to identify and validate immune-related biomarkers and analyze potential regulators including transcription factors (TFs), microRNAs (miRNAs), and drugs for DKD. METHODS: Immune-related genes from the ImmPort database and glomeruli samples from GSE1009 and GSE30528 were used to identify differentially expressed immune-related genes (DEIRGs) of DKD. The expression level and clinical correlation analyses of DEIRGs were verified in the Nephroseq database. Murine podocytes were cultured to construct the high glucose-induced podocyte injury model. The reliability of the bioinformatics analysis was experimentally validated by RT-qPCR in podocytes. Networks among DEIRGs, regulators, and drugs were constructed to predict potential regulatory mechanisms for DKD. RESULTS: DKD-associated DEIRGs were identified. CCL19 and IL7R were significantly upregulated in the DKD group and negatively correlated with glomerular filtration rate (GFR). GHR, FGF1, FYN, VEGFA, F2R, TGFBR3, PTGDS, FGF9, and SEMA5A were significantly decreased in the DKD group and positively correlated with GFR. RT-qPCR showed that the relative mRNA expression levels of GHR, FGF1, FYN, TGFBR3, PTGDS, FGF9, and SEMA5A were significantly down-regulated in the high glucose-induced podocyte injury group. The enriched regulators for DEIRGs included 110 miRNAs and 8 TFs. The abnormal expression of DEIRGs could be regulated by 16 established drugs. CONCLUSIONS: This study identified immune-related biomarkers, regulators, and drugs of DKD. The findings of the present study provide novel insights into immune-related diagnosis and treatment of DKD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01519-6. BioMed Central 2023-05-01 /pmc/articles/PMC10150481/ /pubmed/37127580 http://dx.doi.org/10.1186/s12920-023-01519-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Shengnan Li, Bo Chen, Lei Jiang, Hongli Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease |
title | Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease |
title_full | Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease |
title_fullStr | Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease |
title_full_unstemmed | Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease |
title_short | Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease |
title_sort | identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150481/ https://www.ncbi.nlm.nih.gov/pubmed/37127580 http://dx.doi.org/10.1186/s12920-023-01519-6 |
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