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Yan X, Zhang X, Li H, Zou Y, Lu W, Zhan M, Liang Z, Zhuang H, Ran X, Ma G, Lin X, Yang H, Huang Y, Wang H, Shen L. Application of Proteomics and Machine Learning Methods to Study the Pathogenesis of Diabetic Nephropathy and Screen Urinary Biomarkers. J Proteome Res 2024; 23:3612-3625. [PMID: 38949094 DOI: 10.1021/acs.jproteome.4c00267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Diabetic nephropathy (DN) has become the main cause of end-stage renal disease worldwide, causing significant health problems. Early diagnosis of the disease is quite inadequate. To screen urine biomarkers of DN and explore its potential mechanism, this study collected urine from 87 patients with type 2 diabetes mellitus (which will be classified into normal albuminuria, microalbuminuria, and macroalbuminuria groups) and 38 healthy subjects. Twelve individuals from each group were then randomly selected as the screening cohort for proteomics analysis and the rest as the validation cohort. The results showed that humoral immune response, complement activation, complement and coagulation cascades, renin-angiotensin system, and cell adhesion molecules were closely related to the progression of DN. Five overlapping proteins (KLK1, CSPG4, PLAU, SERPINA3, and ALB) were identified as potential biomarkers by machine learning methods. Among them, KLK1 and CSPG4 were positively correlated with the urinary albumin to creatinine ratio (UACR), and SERPINA3 was negatively correlated with the UACR, which were validated by enzyme-linked immunosorbent assay (ELISA). This study provides new insights into disease mechanisms and biomarkers for early diagnosis of DN.
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Affiliation(s)
- Xi Yan
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Xinglai Zhang
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Haiying Li
- Department of Endocrinology, Guiyang First People's Hospital, Guiyang, Guizhou 550002, China
| | - Yongdong Zou
- Center for Instrumental Analysis, Shenzhen University, Shenzhen 518071, China
| | - Wei Lu
- Department of Endocrinology, Guiyang First People's Hospital, Guiyang, Guizhou 550002, China
| | - Man Zhan
- Department of Endocrinology, Guiyang First People's Hospital, Guiyang, Guizhou 550002, China
| | - Zhiyuan Liang
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Hongbin Zhuang
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Xiaoqian Ran
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Guanwei Ma
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Xixiao Lin
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Hongbo Yang
- Center for Instrumental Analysis, Shenzhen University, Shenzhen 518071, China
| | - Yuhan Huang
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Hanghang Wang
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
| | - Liming Shen
- College of Life Science and Oceanography, Shenzhen University, Shenzhen 518060, China
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
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Huang R, Fu P, Ma L. Kidney fibrosis: from mechanisms to therapeutic medicines. Signal Transduct Target Ther 2023; 8:129. [PMID: 36932062 PMCID: PMC10023808 DOI: 10.1038/s41392-023-01379-7] [Citation(s) in RCA: 230] [Impact Index Per Article: 115.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 02/12/2023] [Accepted: 02/20/2023] [Indexed: 03/19/2023] Open
Abstract
Chronic kidney disease (CKD) is estimated to affect 10-14% of global population. Kidney fibrosis, characterized by excessive extracellular matrix deposition leading to scarring, is a hallmark manifestation in different progressive CKD; However, at present no antifibrotic therapies against CKD exist. Kidney fibrosis is identified by tubule atrophy, interstitial chronic inflammation and fibrogenesis, glomerulosclerosis, and vascular rarefaction. Fibrotic niche, where organ fibrosis initiates, is a complex interplay between injured parenchyma (like tubular cells) and multiple non-parenchymal cell lineages (immune and mesenchymal cells) located spatially within scarring areas. Although the mechanisms of kidney fibrosis are complicated due to the kinds of cells involved, with the help of single-cell technology, many key questions have been explored, such as what kind of renal tubules are profibrotic, where myofibroblasts originate, which immune cells are involved, and how cells communicate with each other. In addition, genetics and epigenetics are deeper mechanisms that regulate kidney fibrosis. And the reversible nature of epigenetic changes including DNA methylation, RNA interference, and chromatin remodeling, gives an opportunity to stop or reverse kidney fibrosis by therapeutic strategies. More marketed (e.g., RAS blockage, SGLT2 inhibitors) have been developed to delay CKD progression in recent years. Furthermore, a better understanding of renal fibrosis is also favored to discover biomarkers of fibrotic injury. In the review, we update recent advances in the mechanism of renal fibrosis and summarize novel biomarkers and antifibrotic treatment for CKD.
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Affiliation(s)
- Rongshuang Huang
- Kidney Research Institute, Division of Nephrology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ping Fu
- Kidney Research Institute, Division of Nephrology, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Liang Ma
- Kidney Research Institute, Division of Nephrology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Zhou Y, Tao H, Xu N, Zhou S, Peng Y, Zhu J, Liu S, Chang Y. Chrysin improves diabetic nephropathy by regulating the AMPK-mediated lipid metabolism in HFD/STZ-induced DN mice. J Food Biochem 2022; 46:e14379. [PMID: 35976957 DOI: 10.1111/jfbc.14379] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 07/17/2022] [Accepted: 08/01/2022] [Indexed: 01/13/2023]
Abstract
Diabetic nephropathy (DN) is a highly prevalent and severe diabetic complication. It is urgent to explore high efficiency and minor side effects therapy for DN. Chrysin is a natural flavonoid with various biological activities found in honey and propolis, and has considerable potential to improve DN. The study was designed to explore the effects and the specific underlying mechanism of chrysin for DN in high-fat-diet (HFD) and streptozotocin (STZ) induced DN mice. Firstly, the study revealed that chrysin effectively improved obesity, insulin resistance (IR), renal function, and pathological injury in DN mice. Secondly, the study found that chrysin improved the key indices and markers of lipid accumulation, oxidative stress, and inflammation which are closely related to the development or progression of DN. Moreover, chrysin markedly modulated lipid metabolism by regulating Adenosine 5' monophosphate-activated protein kinase (AMPK) and essential downstream proteins. Furthermore, AMPK inhibitor (Dorsomorphin) intervention partially suppressed the positive effects of chrysin on all testing indicators, indicating that activated AMPK is crucial for chrysin action on DN. The present study demonstrated that chrysin may improve DN by regulating lipid metabolism, and activated AMPK plays a critical role in the regulation of chrysin. PRACTICAL APPLICATIONS: The study verified the positive effects of chrysin on obesity, insulin resistance, kidney injury, renal function, lipid accumulation, inflammation, and oxidative stress, which are closely related to the development or progression of diabetic nephropathy (DN). Moreover, we explored that chrysin improves DN by regulating AMPK-mediated lipid metabolism. Furthermore, the AMPK inhibitor was used to confirm that activated AMPK plays a critical role in the effects of chrysin. These results could offer a full explanation and a potential option for adjuvant therapy of DN diabetes with chrysin.
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Affiliation(s)
- Yingjun Zhou
- The State Key Laboratory of Bioreactor Engineering, School of Bioengineering, East China University of Science and Technology, Shanghai, People's Republic of China
| | - Heng Tao
- The State Key Laboratory of Bioreactor Engineering, School of Bioengineering, East China University of Science and Technology, Shanghai, People's Republic of China
| | - Nuo Xu
- The State Key Laboratory of Bioreactor Engineering, School of Bioengineering, East China University of Science and Technology, Shanghai, People's Republic of China
| | - Shichun Zhou
- Agricultural and Rural Bureau, Haiyang, Shandong, People's Republic of China
| | - Yuke Peng
- The State Key Laboratory of Bioreactor Engineering, School of Bioengineering, East China University of Science and Technology, Shanghai, People's Republic of China
| | - Jianxiang Zhu
- Shanghai Cao Yang No. 2 High School, Shanghai, People's Republic of China
| | - Shaowei Liu
- The State Key Laboratory of Bioreactor Engineering, School of Bioengineering, East China University of Science and Technology, Shanghai, People's Republic of China
| | - Yaning Chang
- The State Key Laboratory of Bioreactor Engineering, School of Bioengineering, East China University of Science and Technology, Shanghai, People's Republic of China
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Lash LH. Lawrence Lash reports financial support was provided by National Institutes of Health. Cellular and Functional Biomarkers of Renal Injury and Disease. CURRENT OPINION IN TOXICOLOGY 2022; 31. [DOI: 10.1016/j.cotox.2022.100348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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