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

被引:0
作者
Yao, Congcong [1 ]
Li, Ziwei [2 ]
Su, Hongshuang [1 ]
Sun, Keke [1 ]
Liu, Qihui [1 ]
Zhang, Yan [1 ]
Zhu, Lishuang [2 ]
Jiang, Feng [3 ]
Fan, Yaguang [4 ]
Shou, Songtao [1 ]
Wu, Heng [4 ]
Jin, Heng [1 ]
机构
[1] Tianjin Med Univ Gen Hosp, Dept Emergency Med, Tianjin, Peoples R China
[2] Tianjin Med Univ Gen Hosp, Dept Crit Care Med, Tianjin, Peoples R China
[3] Tianjin Med Univ Gen Hosp, Dept Ophthalmol, Tianjin, Peoples R China
[4] Tianjin Med Univ Gen Hosp, Tianjin Lung Canc Inst, Tianjin Key Lab Lung Canc Metastasis & Tumor Micro, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
Diabetic kidney disease; acute kidney injury; single-cell RNA sequencing; renal tubular epithelial cells; diagnostic markers; therapeutic target; PULMONARY-FIBROSIS; RNA; EPIDEMIOLOGY; TROPOMYOSIN; OUTCOMES; RISK; INTEGRIN-ALPHA-V-BETA-6; PROLIFERATION; LOCALIZATION; PROGRESSION;
D O I
10.1080/0886022X.2024.2409348
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
BackgroundDiabetic 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.MethodsThe 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.ResultsFunctional 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.ConclusionITGB6 may serve as a biomarker for early AKI diagnosis in patients with DKD and as a target for early intervention therapies.
引用
收藏
页数:16
相关论文
共 50 条
[31]   Single-Cell RNA Sequencing Reveals RAC1 Involvement in Macrophages Efferocytosis in Diabetic Kidney Disease [J].
Yi Song ;
Yifan Liu ;
Feng Guo ;
Lin Zhao ;
Guijun Qin .
Inflammation, 2024, 47 :753-770
[32]   Single-Cell RNA Sequencing Reveals RAC1 Involvement in Macrophages Efferocytosis in Diabetic Kidney Disease [J].
Song, Yi ;
Liu, Yifan ;
Guo, Feng ;
Zhao, Lin ;
Qin, Guijun .
INFLAMMATION, 2024, 47 (02) :753-770
[33]   Single cell sequencing coupled with bioinformatics reveals PHYH as a potential biomarker in kidney ischemia reperfusion injury [J].
Xu, Ruiquan ;
Jiang, Weihao ;
Liu, Yongguang ;
Hu, Jianmin ;
Liu, Ding ;
Zhou, Song ;
Zhong, Yangsheng ;
Zhang, Fengxia ;
Zhao, Ming .
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2022, 602 :156-162
[34]   Multimodal single cell sequencing implicates chromatin accessibility and genetic background in diabetic kidney disease progression [J].
Wilson, Parker C. ;
Muto, Yoshiharu ;
Wu, Haojia ;
Karihaloo, Anil ;
Waikar, Sushrut S. ;
Humphreys, Benjamin D. .
NATURE COMMUNICATIONS, 2022, 13 (01)
[35]   The Epidemiology and Outcomes of Acute Kidney Injury in Patients With Chronic Kidney Disease: A Single-Center Retrospective Cohort Study [J].
Oura, Shunsuke ;
Okada, Marie ;
Miyashita, Ryo ;
Yamamoto, Shuji .
ANESTHESIOLOGY RESEARCH AND PRACTICE, 2025, 2025 (01)
[36]   Contrast-Induced Acute Kidney Injury Among Patients With Chronic Kidney Disease Undergoing Imaging Studies: A Meta-Analysis [J].
Lee, Yen-Chien ;
Hsieh, Chung-Cheng ;
Chang, Ting-Tsung ;
Li, Chung-Yi .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 213 (04) :728-735
[37]   Beta 2-microglobulin is an independent risk marker of acute kidney injury in adult patients with hemophagocytic lymphohistiocytosis [J].
Zhao, Mengya ;
Liu, Jingfeng ;
Zhuang, Haizhou ;
Qiu, Yu ;
He, Zhanghuan ;
Lin, Jin ;
Duan, Meili .
JOURNAL OF NEPHROLOGY, 2024, :1317-1325
[38]   Neutrophil–lymphocyte count ratio as a diagnostic marker for acute kidney injury: a systematic review and meta-analysis [J].
Dong Chen ;
Dong Xiao ;
Junchuan Guo ;
Bayin Chahan ;
Zhigao Wang .
Clinical and Experimental Nephrology, 2020, 24 :126-135
[39]   Interleukin-6 and Procalcitonin as Potential Predictors of Acute Kidney Injury Occurrence in Patients with Sepsis [J].
Kahar, Liliriawati Ananta .
REPORTS OF BIOCHEMISTRY AND MOLECULAR BIOLOGY, 2024, 13 (02) :144-153
[40]   Prognostic nutritional index as a predictive marker for acute kidney injury in adult critical illness population: a systematic review and diagnostic test accuracy meta-analysis [J].
Chen, Jia-Jin ;
Lee, Tao-Han ;
Lai, Pei-Chun ;
Chang, Chih-Hsiang ;
Wu, Che-Hsiung ;
Huang, Yen-Ta .
JOURNAL OF INTENSIVE CARE, 2024, 12 (01)