Integrating bioinformatics and metabolomics to identify potential biomarkers of hypertensive nephropathy

被引:1
作者
Yang, Kezhen [1 ]
Zhang, Pingna [2 ]
Ding, Xiaofeng [3 ]
Yu, Gong [4 ]
Liu, Jipeng [4 ]
Yang, Yi [4 ]
Fang, Jianqiao [5 ]
Liu, Qingguo [4 ]
Zhang, Lu [1 ]
Li, Jianhua [1 ]
Wu, Fangchao [1 ]
机构
[1] Zhejiang Univ, Sir Run Run Shaw Hosp, Dept Rehabil Med, Sch Med, 3 East Qingchun Rd, Hangzhou 310016, Zhejiang, Peoples R China
[2] Zhejiang Chinese Med Univ, Zhejiang Prov Hosp Chinese Med, Dept Nephrol, Affiliated Hosp 1, Hangzhou, Peoples R China
[3] Tongji Univ, Shanghai Skin Dis Hosp, Sch Med, Shanghai, Peoples R China
[4] Beijing Univ Chinese Med, Sch Acupuncture Moxibust & Tuina, Beijing 102488, Peoples R China
[5] Zhejiang Chinese Med Univ, Sch Clin Med 3, Key Lab Acupuncture & Neurol Zhejiang Prov, Hangzhou 310053, Peoples R China
关键词
Bioinformatic; Metabolomics; Hypertensive nephropathy; Bile acid; Bile acid metabolism; BILE-ACID SYNTHESIS; DEOXYCHOLIC-ACID; ALPHA-1-ANTITRYPSIN DEFICIENCY; APOE POLYMORPHISM; APOLIPOPROTEIN-E; KIDNEY-DISEASE; RECEPTOR TGR5; RENAL-DISEASE; METABOLISM; PROGRESSION;
D O I
10.1038/s41598-025-89601-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Hypertensive nephropathy (HN), caused by long-term poorly controlled hypertension, is the second common cause of end-stage renal disease after diabetes mellitus, but the pathogenesis of HN is unclear. The purpose of this study was to identify the biological pathways involved in the progression of HN and bile acid (BA)-related biomarkers, and to analyze the role of bile acids in HN. Download gene microarray data from Gene Expression Omnibus. Differentially expressed genes (DEGs) associated with HN were identified, and then DEGs were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis. A protein-protein interaction (PPI) network was established using DEGs to identify BA-related hub genes in combination with bile acid identical targets. An animal model of early hypertensive nephropathy was established using SHR and the concentrations of 39 bile acids were measured quantitatively in the renal cortex to screen for significantly different concentrations and to analyze the correlation between bile acid concentrations and blood pressure. A total of 398 DEGs were screened. The results of enrichment analysis identified multiple biological pathways associated with hypertension, nephropathy and bile acids. Combining PPI network and bile acid-related targets, three BA-related hub genes (APOE, ALB, SERPINA1) were identified. Quantitative analysis of bile acids revealed significant differences in the concentrations of seven bile acids (DCA, CDCA, UDCA, UCA, CA, TDCA, TCDCA). The concentrations of these bile acids showed a positive correlation with blood pressure values in SHR, with CA, DCA and TDCA showing a stronger correlation and specificity with blood pressure in SHR. Three BA-related hub genes (APOE, ALB, SERPINA1) may be involved in the early stages of HN. The concentrations of multiple bile acids were significantly elevated in the early stages of HN, with CA, DCA and TDCA being more correlated and specific with blood pressure and having higher diagnostic value. These BA-related hub genes and BAs may be involved in disease progression in the early stages of HN.
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页数:16
相关论文
共 78 条
[1]   Lipoprotein abnormalities as a risk factor for progressive nondiabetic renal disease [J].
Attman, PO ;
Alaupovic, P ;
Samuelsson, O .
KIDNEY INTERNATIONAL, 1999, 56 :S14-S17
[2]   Increased glomerular albumin permeability in old spontaneously hypertensive rats [J].
Bakoush, O ;
Tencer, J ;
Torffvit, O ;
Tenstad, O ;
Skogvall, I ;
Rippe, B .
NEPHROLOGY DIALYSIS TRANSPLANTATION, 2004, 19 (07) :1724-1731
[3]   Alpha-1 Antitrypsin Deficiency Today: New Insights in the Immunological Pathways [J].
Baraldo, Simonetta ;
Balestro, Elisabetta ;
Bazzan, Erica ;
Tine, Maria Enrica ;
Biondini, Davide ;
Turato, Graziella ;
Cosio, Manuel G. ;
Saetta, Marina .
RESPIRATION, 2016, 91 (05) :380-385
[4]  
Bristow CL, 2013, DISCOV MED, V16, P201
[5]   Predictive role of renal resistive index for clinical outcome after revascularization in hypertensive patients with atherosclerotic renal artery stenosis: a monocentric observational study [J].
Bruno, Rosa Maria ;
Daghini, Elena ;
Versari, Daniele ;
Sgro, Melania ;
Sanna, Michela ;
Venturini, Luigi ;
Romanini, Caterina ;
Di Paco, Irene ;
Sudano, Isabella ;
Cioni, Roberto ;
Lerman, Lilach O. ;
Ghiadoni, Lorenzo ;
Taddei, Stefano ;
Pinto, Stefania .
CARDIOVASCULAR ULTRASOUND, 2014, 12
[6]  
Cases A, 2005, KIDNEY INT, V68, P87
[7]   Metabolomics insights into activated redox signaling and lipid metabolism dysfunction in chronic kidney disease progression [J].
Chen, Hua ;
Cao, Gang ;
Chen, Dan-Qian ;
Wang, Ming ;
Vaziri, Nosratola D. ;
Zhang, Zhi-Hao ;
Mao, Jia-Rong ;
Bai, Xu ;
Zhao, Ying-Yong .
REDOX BIOLOGY, 2016, 10 :168-178
[8]   The Mediating Role of Psychological Well-Being in the Relationship between Self-Care Knowledge and Disease Self-Management in Patients with Hypertensive Nephropathy [J].
Chen, Wen-Chun ;
Wu, Shu-Fang Vivienne ;
Sun, Juo-Hsiang ;
Tai, Chun-Yi ;
Lee, Mei-Chen ;
Chu, Chun-Hua .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (14)
[9]   Bioinformatic analysis reveals novel hub genes and pathways associated with hypertensive nephropathy [J].
Chen, Xiaolei ;
Cao, Yiling ;
Wang, Zheng ;
Zhang, Dongmei ;
Tang, Wanxin .
NEPHROLOGY, 2019, 24 (11) :1103-1114
[10]   Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile [J].
Chen, Zhi ;
Wu, Hao ;
Wang, Guohua ;
Feng, Ye .
BMC NEPHROLOGY, 2016, 17 :1-8