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Fan X, Yang M, Lang Y, Lu S, Kong Z, Gao Y, Shen N, Zhang D, Lv Z. Mitochondrial metabolic reprogramming in diabetic kidney disease. Cell Death Dis 2024; 15:442. [PMID: 38910210 PMCID: PMC11194272 DOI: 10.1038/s41419-024-06833-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/10/2024] [Accepted: 06/12/2024] [Indexed: 06/25/2024]
Abstract
Diabetic kidney disease, known as a glomerular disease, arises from a metabolic disorder impairing renal cell function. Mitochondria, crucial organelles, play a key role in substance metabolism via oxidative phosphorylation to generate ATP. Cells undergo metabolic reprogramming as a compensatory mechanism to fulfill energy needs for survival and growth, attracting scholarly attention in recent years. Studies indicate that mitochondrial metabolic reprogramming significantly influences the pathophysiological progression of DKD. Alterations in kidney metabolism lead to abnormal expression of signaling molecules and activation of pathways, inducing oxidative stress-related cellular damage, inflammatory responses, apoptosis, and autophagy irregularities, culminating in renal fibrosis and insufficiency. This review delves into the impact of mitochondrial metabolic reprogramming on DKD pathogenesis, emphasizing the regulation of metabolic regulators and downstream signaling pathways. Therapeutic interventions targeting renal metabolic reprogramming can potentially delay DKD progression. The findings underscore the importance of focusing on metabolic reprogramming to develop safer and more effective therapeutic approaches.
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Affiliation(s)
- Xiaoting Fan
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Meilin Yang
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Yating Lang
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Shangwei Lu
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Zhijuan Kong
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Ying Gao
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Ning Shen
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Dongdong Zhang
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Zhimei Lv
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China.
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
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Wang X, Hu Y, Zhu W, Wang D. Investigation of metabolite alterations in the kidneys of methionine-choline-deficient mouse by mass spectrometry imaging. Anal Bioanal Chem 2024; 416:1011-1022. [PMID: 38108841 DOI: 10.1007/s00216-023-05091-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/20/2023] [Accepted: 12/01/2023] [Indexed: 12/19/2023]
Abstract
Methionine and choline both are essential nutrients which are needed for methyl group metabolism. A methionine-choline-deficient (MCD) diet leads to pathological changes in the kidney. The mechanism of the MCD diet is complex, and fundamental research is still required to provide a better understanding of the driving forces behind it. We evaluated the regional effects of the MCD diet on the metabolites of mouse kidney tissue using desorption electrospray ionization mass spectrometry imaging technology. A total of 20, 17, and 13 metabolites were significantly changed in the cortex, outer medulla, and inner medulla, respectively, of the mouse kidney tissue after the administration of the MCD diet. Among the discriminating metabolites, only three metabolites (guanidoacetic acid, serine, and nicotinamide riboside) were significantly increased, and all the other metabolites showed a significant decrease. The results showed that there were significant region-specific changes in the serine metabolism, carnitine metabolism, choline metabolism, and arginine metabolism. This study presents unique regional metabolic data, providing a more comprehensive understanding of the molecular characteristics of the MCD diet in the kidney.
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Affiliation(s)
- Xiaoqun Wang
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, Anhui, China.
| | - Yingying Hu
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, Anhui, China
| | - Wentao Zhu
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, Anhui, China
| | - Dianlei Wang
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230012, Anhui, China.
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Lv Y, Li M, Weng L, Huang H, Mao Y, Yang DA, Wei Q, Zhao M, Wei Q, Rui K, Han X, Fan W, Cai X, Cao P, Cao M. Ginseng-derived nanoparticles reprogram macrophages to regulate arginase-1 release for ameliorating T cell exhaustion in tumor microenvironment. J Exp Clin Cancer Res 2023; 42:322. [PMID: 38012650 PMCID: PMC10683135 DOI: 10.1186/s13046-023-02888-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Lines of evidence indicated that, immune checkpoints (ICs) inhibitors enhanced T cell immune response to exert anti-tumor effects. However, T cell exhaustion has been so far a major obstacle to antitumor immunotherapy in colorectal cancer patients. Our previous studies showed that ginseng-derived nanoparticles (GDNPs) inhibited the growth of various tumors by reprograming tumor-associated macrophages (TAMs) and downregulated the ICs expression on T cells in tumor microenvironment (TME), but the underlying effector mechanisms remained unclear. METHODS The correlation between arginase-1 (ARG1) and T cells was computed based on the colorectal cancer patients in TCGA database. In vitro, we observed that GDNPs reprogrammed TAMs inhibited ARG1 release and ultimately ameliorated T cell exhaustion according to several techniques including WB, PCR, ELISA and flow cytometry. We also used an in vivo MC38 tumor-bearing model and administered GDNPs to assess their anti-tumor effects through multiple indices. The mechanism that GDNPs improved T cell exhaustion was further clarified using the bioinformatics tools and flow cytometry. RESULTS GDNPs reprogramed TAMs via reducing ARG1 production. Moreover, normalized arginine metabolism ameliorated T cell exhaustion through mTOR-T-bet axis, resulting in reduced ICs expression and enhanced CD8+ T cells expansion. CONCLUSIONS By regulating the mTOR-T-bet axis, GDNPs reprogramed macrophages to regulate ARG1 release, which further ameliorated T cell exhaustion in TME. These findings provided new insights into comprehending the mechanisms underlying the mitigation of T cell exhaustion, which may facilitate the development of innovative therapeutic strategies in the field of cancer treatment.
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Affiliation(s)
- Yan Lv
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Mengyuan Li
- Department of Pharmacology, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Ling Weng
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Haoying Huang
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yujie Mao
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Danchen Aaron Yang
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Qingyun Wei
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Mengmeng Zhao
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Qin Wei
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Ke Rui
- Institute of Medical Immunology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Xuan Han
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Weiwei Fan
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xueting Cai
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Peng Cao
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
- Department of Pharmacology, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
- The Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
- Zhenjiang Hospital of Chinese Traditional and Western Medicine, Zhenjiang, Jiangsu, China.
| | - Meng Cao
- Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
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Zeitler EM, Li Y, Schroder M, Falk RJ, Sumner S. Characterizing the metabolic response of the zebrafish kidney to overfeeding. Am J Physiol Renal Physiol 2023; 325:F491-F502. [PMID: 37589050 PMCID: PMC10639026 DOI: 10.1152/ajprenal.00113.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 08/14/2023] [Accepted: 08/14/2023] [Indexed: 08/18/2023] Open
Abstract
Obesity is a global epidemic and risk factor for the development of chronic kidney disease. Obesity induces systemic changes in metabolism, but how it affects kidney metabolism specifically is not known. Zebrafish have previously been shown to develop obesity-related kidney pathology and dysfunction when fed hypercaloric diets. To understand the direct effects of obesity on kidney metabolic function, we treated zebrafish for 8 wk with a control and an overfeeding diet. At the end of treatment, we assessed changes in kidney and fish weights and used electron microscopy to evaluate cell ultrastructure. We then performed an untargeted metabolomic analysis on the kidney tissue of fish using ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry and used mummichog and gene set enrichment analysis to uncover differentially affected metabolic pathways. Kidney metabolomes differed significantly and consistently between the control and overfed diets. Among 9,593 features, we identified 235 that were significantly different (P < 0.05) between groups (125 upregulated in overfed diet, 110 downregulated). Pathway analysis demonstrated perturbations in glycolysis and fatty acid synthesis pathways, and analysis of specific metabolites points to perturbations in tryptophan metabolism. Our key findings show that diet-induced obesity leads to metabolic changes in the kidney tissue itself and implicates specific metabolic pathways, including glycolysis and tryptophan metabolism in the pathogenesis of obesity-related kidney disease, demonstrating the power of untargeted metabolomics to identify pathways of interest by directly interrogating kidney tissue.NEW & NOTEWORTHY Obesity causes systemic metabolic dysfunction, but how this affects kidney metabolism is less understood. This study used ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry to analyze the kidneys of overfed zebrafish. Metabolites in the kidneys of obese zebrafish revealed perturbations in metabolic pathways including glycolysis and tryptophan metabolism. These data suggest obesity alters metabolism within the kidney, which may play an important role in obesity-related kidney dysfunction.
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Affiliation(s)
- Evan M Zeitler
- Division of Nephrology and Hypertension, Department of Medicine, UNC Kidney Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Yuanyuan Li
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Madison Schroder
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Ronald J Falk
- Division of Nephrology and Hypertension, Department of Medicine, UNC Kidney Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Susan Sumner
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
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Wang Y, Liu Y, Chen S, Li F, Wu Y, Xie X, Zhang N, Zeng C, Bai L, Dai M, Zhang L, Wang X. The protective mechanism of Dehydromiltirone in diabetic kidney disease is revealed through network pharmacology and experimental validation. Front Pharmacol 2023; 14:1201296. [PMID: 37680723 PMCID: PMC10482231 DOI: 10.3389/fphar.2023.1201296] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/14/2023] [Indexed: 09/09/2023] Open
Abstract
Background: Salvia miltiorrhiza (SM) is an effective traditional Chinese medicine for treating DKD, but the exact mechanism is elusive. In this study, we aimed to investigate and confirm the method underlying the action of the active components of SM in the treatment of DKD. Methods: Renal tissue transcriptomics and network pharmacology of DKD patients was performed to identify the active components of SM and the disease targets of DKD. Next, the point of convergence among these three groups was studied. Potential candidate genes were identified and analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). The component-target networks were modelled and visualized with Cytoscape. In addition, docking studies were performed to validate our potential target predictions. Lastly, in vitro and in vivo experiments were performed to understand the role of Dehydromiltirone (DHT), the active component of SM, in the phenotypic switching of mesangial cells. Results: Transcriptomics of DKD patients' renal tissues screened 4,864 differentially expressed genes. Eighty-nine active components of SM and 161 common targets were found. Functional enrichment analysis indicated that 161 genes were enriched in apoptosis, the PI3K-AKT signaling pathway, and the AGE-RAGE signaling pathway in diabetes complications. Molecular docking and molecular dynamic simulations show that DHT can bind to functional PIK3CA pockets, thereby becoming a possible inhibitor of PIK3CA. In vitro study demonstrated that DHT reduced the expression of phenotypic switching markers α-SMA, Col-I, and FN in HMCs by downregulating the over-activation of the PI3K-AKT signaling pathway through the inhibition of PIK3CA. Furthermore, the DKD mouse model confirmed that DHT could reduce proteinuria and improve glomerular hypertrophy in vivo. Conclusion: DHT was identified as the key active component of SM, and its therapeutic effect on DKD was achieved by inhibiting the phenotypic switching of mesangial cells via the PIK3CA signaling pathway.
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Affiliation(s)
- Yanzhe Wang
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuyuan Liu
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Department of Nephrology, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Sijia Chen
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Fengqin Li
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yue Wu
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xinmiao Xie
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Nan Zhang
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chuchu Zeng
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Linnan Bai
- Department of Nephrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mengshi Dai
- Department of Geriatrics, Huashan Hospital, Fudan University, Shanghai, China
| | - Ling Zhang
- Department of Obstetrics and Gynecology, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Xiaoxia Wang
- Department of Nephrology, Tongren Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Rietjens RGJ, Wang G, van der Velden AIM, Koudijs A, Avramut MC, Kooijman S, Rensen PCN, van der Vlag J, Rabelink TJ, Heijs B, van den Berg BM. Phosphatidylinositol metabolism of the renal proximal tubule S3 segment is disturbed in response to diabetes. Sci Rep 2023; 13:6261. [PMID: 37069341 PMCID: PMC10110589 DOI: 10.1038/s41598-023-33442-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 04/12/2023] [Indexed: 04/19/2023] Open
Abstract
Diabetes is a main risk factor for kidney disease, causing diabetic nephropathy in close to half of all patients with diabetes. Metabolism has recently been identified to be decisive in cell fate decisions and repair. Here we used mass spectrometry imaging (MSI) to identify tissue specific metabolic dysregulation, in order to better understand early diabetes-induced metabolic changes of renal cell types. In our experimental diabetes mouse model, early glomerular glycocalyx barrier loss and systemic metabolic changes were observed. In addition, MSI targeted at small molecule metabolites and glycero(phospho)lipids exposed distinct changes upon diabetes in downstream nephron segments. Interestingly, the outer stripe of the outer medullar proximal tubular segment (PT_S3) demonstrated the most distinct response compared to other segments. Furthermore, phosphatidylinositol lipid metabolism was altered specifically in PT_S3, with one of the phosphatidylinositol fatty acid tails being exchanged from longer unsaturated fatty acids to shorter, more saturated fatty acids. In acute kidney injury, the PT_S3 segment and its metabolism are already recognized as important factors in kidney repair processes. The current study exposes early diabetes-induced changes in membrane lipid composition in this PT_S3 segment as a hitherto unrecognized culprit in the early renal response to diabetes.
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Affiliation(s)
- Rosalie G J Rietjens
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden, The Netherlands
| | - Gangqi Wang
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden, The Netherlands
| | - Anouk I M van der Velden
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Angela Koudijs
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - M Cristina Avramut
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cell and Chemical Biology (Electron Microscopy), Leiden University Medical Center, Leiden, The Netherlands
| | - Sander Kooijman
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine (Endocrinology), Leiden University Medical Center, Leiden, The Netherlands
| | - Patrick C N Rensen
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine (Endocrinology), Leiden University Medical Center, Leiden, The Netherlands
| | - Johan van der Vlag
- Department of Nephrology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ton J Rabelink
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden, The Netherlands
| | - Bram Heijs
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden, The Netherlands
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Bernard M van den Berg
- Department of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands.
- Einthoven Laboratory of Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, The Netherlands.
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Leiden University Medical Center, Leiden, The Netherlands.
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Comparison of Local Metabolic Changes in Diabetic Rodent Kidneys Using Mass Spectrometry Imaging. Metabolites 2023; 13:metabo13030324. [PMID: 36984764 PMCID: PMC10060001 DOI: 10.3390/metabo13030324] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/14/2023] [Accepted: 02/20/2023] [Indexed: 02/24/2023] Open
Abstract
Understanding the renal region-specific metabolic alteration in different animal models of diabetic nephropathy (DN) is critical for uncovering the underlying mechanisms and for developing effective treatments. In the present study, spatially resolved metabolomics based on air flow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) was used to compare the local metabolic changes in the kidneys of HFD/STZ-induced diabetic rats and db/db mice. As a result, a total of 67 and 59 discriminating metabolites were identified and visualized in the kidneys of the HFD/STZ-induced diabetic rats and db/db mice, respectively. The result showed that there were significant region-specific changes in the glycolysis, TCA cycle, lipid metabolism, carnitine metabolism, choline metabolism, and purine metabolism in both DN models. However, the regional levels of the ten metabolites, including glucose, AMP, eicosenoic acid, eicosapentaenoic acid, Phosphatidylserine (36:1), Phosphatidylserine (36:4), Phosphatidylethanolamine (34:1), Phosphatidylethanolamine (36:4), Phosphatidylcholine (34:2), Phosphatidylinositol (38:5) were changed in reversed directions, indicating significant differences in the local metabolic phenotypes of these two commonly used DN animal models. This study provides comprehensive and in-depth analysis of the differences in the tissue and molecular pathological features in diabetic kidney injury in HFD/STZ-induced diabetic rats and db/db mice.
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Pan Y, Yang H, Chen T, Jin J, Ruan L, Hu L, Chen L. Extracellular vesicles metabolic changes reveals plasma signature in stage-dependent diabetic kidney disease. Ren Fail 2022; 44:1840-1849. [DOI: 10.1080/0886022x.2022.2118067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Youjin Pan
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Qingdao, China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan City, P. R. China
| | - Hui Yang
- Department of Ophthalmology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Tucan Chen
- School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, China
| | - Jian Jin
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Luya Ruan
- Department of Endocrinology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Liang Hu
- School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou, China
| | - Li Chen
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute of Endocrine and Metabolic Diseases of Shandong University, Jinan, China
- Key Laboratory of Endocrine and Metabolic Diseases, Shandong Province Medicine & Health, Qingdao, China
- Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan City, P. R. China
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9
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Imig JD. Frontiers in metabolic physiology grand challenges. Front Physiol 2022; 13:879617. [PMID: 36035475 PMCID: PMC9399398 DOI: 10.3389/fphys.2022.879617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/13/2022] [Indexed: 11/13/2022] Open
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