Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysis

Background Diabetic kidney disease (DKD), a prevalent complication of diabetes mellitus, is often associated with acute kidney injury (AKI). Thus, the development of preventive and therapeutic strategies is crucial for delaying the progression of AKI and DKD.Methods The GSE183276 dataset, comprising...

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Main Authors: Congcong Yao, Ziwei Li, Hongshuang Su, Keke Sun, Qihui Liu, Yan Zhang, Lishuang Zhu, Feng Jiang, Yaguang Fan, Songtao Shou, Heng Wu, Heng Jin
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Renal Failure
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Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2024.2409348
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author Congcong Yao
Ziwei Li
Hongshuang Su
Keke Sun
Qihui Liu
Yan Zhang
Lishuang Zhu
Feng Jiang
Yaguang Fan
Songtao Shou
Heng Wu
Heng Jin
author_facet Congcong Yao
Ziwei Li
Hongshuang Su
Keke Sun
Qihui Liu
Yan Zhang
Lishuang Zhu
Feng Jiang
Yaguang Fan
Songtao Shou
Heng Wu
Heng Jin
author_sort Congcong Yao
collection DOAJ
description Background Diabetic kidney disease (DKD), a prevalent complication of diabetes mellitus, is often associated with acute kidney injury (AKI). Thus, the development of preventive and therapeutic strategies is crucial for delaying the progression of AKI and DKD.Methods The GSE183276 dataset, comprising the data of 20 healthy controls and 12 patients with AKI, was downloaded from the Gene Expression Omnibus (GEO) database to analyze the AKI group. For analyzing the DKD group, the GSE131822 dataset, comprising the data of 3 healthy controls and 3 patients with DKD, was downloaded from the GEO database. The common differentially expressed genes (DEGs) in renal tubular epithelial cells (TECs) were subjected to enrichment analyses. Next, a protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes database to analyze gene-related regulatory networks. Finally, the AKI animal models and the DKD and AKI cell models were established, and the reliability of the identified genes was validated using quantitative real-time polymerase chain reaction analysis.Results Functional analysis was performed with 40 common DEGs in TECs. Eight hub genes were identified using the PPI and gene-related networks. Finally, validation experiments with the in vivo animal model and the in vitro cellular model revealed the four common DEGs. Four DEGs that share molecular mechanisms in the pathogenesis of DKD and AKI were identified. In particular, the expression of Integrin Subunit Beta 6(ITGB6), a hub and commonly upregulated gene, was upregulated in the in vitro models.Conclusion ITGB6 may serve as a biomarker for early AKI diagnosis in patients with DKD and as a target for early intervention therapies.
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spelling doaj-art-2fd6512289a948fa91d674e1f14e40202025-08-20T03:12:50ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492024-12-0146210.1080/0886022X.2024.2409348Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysisCongcong Yao0Ziwei Li1Hongshuang Su2Keke Sun3Qihui Liu4Yan Zhang5Lishuang Zhu6Feng Jiang7Yaguang Fan8Songtao Shou9Heng Wu10Heng Jin11Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, ChinaBackground Diabetic kidney disease (DKD), a prevalent complication of diabetes mellitus, is often associated with acute kidney injury (AKI). Thus, the development of preventive and therapeutic strategies is crucial for delaying the progression of AKI and DKD.Methods The GSE183276 dataset, comprising the data of 20 healthy controls and 12 patients with AKI, was downloaded from the Gene Expression Omnibus (GEO) database to analyze the AKI group. For analyzing the DKD group, the GSE131822 dataset, comprising the data of 3 healthy controls and 3 patients with DKD, was downloaded from the GEO database. The common differentially expressed genes (DEGs) in renal tubular epithelial cells (TECs) were subjected to enrichment analyses. Next, a protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes database to analyze gene-related regulatory networks. Finally, the AKI animal models and the DKD and AKI cell models were established, and the reliability of the identified genes was validated using quantitative real-time polymerase chain reaction analysis.Results Functional analysis was performed with 40 common DEGs in TECs. Eight hub genes were identified using the PPI and gene-related networks. Finally, validation experiments with the in vivo animal model and the in vitro cellular model revealed the four common DEGs. Four DEGs that share molecular mechanisms in the pathogenesis of DKD and AKI were identified. In particular, the expression of Integrin Subunit Beta 6(ITGB6), a hub and commonly upregulated gene, was upregulated in the in vitro models.Conclusion ITGB6 may serve as a biomarker for early AKI diagnosis in patients with DKD and as a target for early intervention therapies.https://www.tandfonline.com/doi/10.1080/0886022X.2024.2409348Diabetic kidney diseaseacute kidney injurysingle-cell RNA sequencingrenal tubular epithelial cellsdiagnostic markerstherapeutic target
spellingShingle Congcong Yao
Ziwei Li
Hongshuang Su
Keke Sun
Qihui Liu
Yan Zhang
Lishuang Zhu
Feng Jiang
Yaguang Fan
Songtao Shou
Heng Wu
Heng Jin
Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysis
Renal Failure
Diabetic kidney disease
acute kidney injury
single-cell RNA sequencing
renal tubular epithelial cells
diagnostic markers
therapeutic target
title Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysis
title_full Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysis
title_fullStr Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysis
title_full_unstemmed Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysis
title_short Integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease: a single cell sequencing data analysis
title_sort integrin subunit beta 6 is a potential diagnostic marker for acute kidney injury in patients with diabetic kidney disease a single cell sequencing data analysis
topic Diabetic kidney disease
acute kidney injury
single-cell RNA sequencing
renal tubular epithelial cells
diagnostic markers
therapeutic target
url https://www.tandfonline.com/doi/10.1080/0886022X.2024.2409348
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