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Liu J, Feng L, Jia Q, Meng J, Zhao Y, Ren L, Yan Z, Wang M, Qin J. A comprehensive bioinformatics analysis identifies mitophagy biomarkers and potential Molecular mechanisms in hypertensive nephropathy. J Biomol Struct Dyn 2024:1-20. [PMID: 38334110 DOI: 10.1080/07391102.2024.2311344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/05/2023] [Indexed: 02/10/2024]
Abstract
Mitophagy, the selective removal of damaged mitochondria, plays a critical role in kidney diseases, but its involvement in hypertensive nephropathy (HTN) is not well understood. To address this gap, we investigated mitophagy-related genes in HTN, identifying potential biomarkers for diagnosis and treatment. Transcriptome datasets from the Gene Expression Omnibus database were analyzed, resulting in the identification of seven mitophagy related differentially expressed genes (MR-DEGs), namely PINK1, ULK1, SQSTM1, ATG5, ATG12, MFN2, and UBA52. Further, we explored the correlation between MR-DEGs, immune cells, and inflammatory factors. The identified genes demonstrated a strong correlation with Mast cells, T-cells, TGFβ3, IL13, and CSF3. Machine learning techniques were employed to screen important genes, construct diagnostic models, and evaluate their accuracy. Consensus clustering divided the HTN patients into two mitophagy subgroups, with Subgroup 2 showing higher levels of immune cell infiltration and inflammatory factors. The functions of their proteins primarily involve complement, coagulation, lipids, and vascular smooth muscle contraction. Single-cell RNA sequencing revealed that mitophagy was most significant in proximal tubule cells (PTC) in HTN patients. Pseudotime analysis of PTC confirmed the expression changes observed in the transcriptome. Intercellular communication analysis suggested that mitophagy might regulate PTC's participation in intercellular crosstalk. Notably, specific transcription factors such as HNF4A, PPARA, and STAT3 showed strong correlations with mitophagy-related genes in PTC, indicating their potential role in modulating PTC function and influencing the onset and progression of HTN. This study offers a comprehensive analysis of mitophagy in HTN, enhancing our understanding of the pathogenesis, diagnosis, and treatment of HTN.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Jiayou Liu
- The Second Clinical Medical College, Beijing University of Chinese Medicine, Beijing, China
| | - Luda Feng
- Department of Nephropathy, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qi Jia
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jia Meng
- Department of Nephropathy, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yun Zhao
- Department of Nephropathy, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Lei Ren
- Department of Nephropathy, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Ziming Yan
- Department of Nephropathy, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Manrui Wang
- The Second Clinical Medical College, Beijing University of Chinese Medicine, Beijing, China
| | - Jianguo Qin
- Department of Nephropathy, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
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Akhouri V, Majumder S, Gaikwad AB. The emerging insight into E3 ligases as the potential therapeutic target for diabetic kidney disease. Life Sci 2023; 321:121643. [PMID: 36997061 DOI: 10.1016/j.lfs.2023.121643] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/25/2023] [Accepted: 03/25/2023] [Indexed: 03/30/2023]
Abstract
Diabetic kidney disease (DKD) is a major diabetic complication and global health concern, occurring in nearly 30 % to 40 % of people with diabetes. Importantly, several therapeutic strategies are being used against DKD; however, available treatments are not uniformly effective and the continuous rise in the prevalence of DKD demands more potential therapeutic approaches or targets. Epigenetic modifiers are regarded for their potential therapeutic effects against DKD. E3 ligases are such epigenetic modifier that regulates the target gene expression by attaching ubiquitin to the histone protein. In recent years, the E3 ligases came up as a potential therapeutic target as it selectively attaches ubiquitin to the substrate proteins in the ubiquitination cascade and modulates cellular homeostasis. The E3 ligases are also actively involved in DKD by regulating the expression of several proteins involved in the proinflammatory and profibrotic pathways. Burgeoning reports suggest that several E3 ligases such as TRIM18 (tripartite motif 18), Smurf1 (Smad ubiquitination regulatory factor 1), and NEDD4-2 (neural precursor cell-expressed developmentally downregulated gene 4-2) are involved in kidney epithelial-mesenchymal transition, inflammation, and fibrosis by regulating respective signaling pathways. However, the various signaling pathways that are regulated by different E3 ligases in the progression of DKD are poorly understood. In this review, we have discussed E3 ligases as potential therapeutic target for DKD. Moreover, different signaling pathways regulated by E3 ligases in the progression of DKD have also been discussed.
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Affiliation(s)
- Vivek Akhouri
- Laboratory of Molecular Pharmacology, Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Rajasthan 333031, India
| | - Syamantak Majumder
- Department of Biological Sciences, Birla Institute of Technology and Science Pilani, Pilani Campus, Rajasthan 333031, India
| | - Anil Bhanudas Gaikwad
- Laboratory of Molecular Pharmacology, Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Rajasthan 333031, India.
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