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Zhu XX, Fu X, Meng XY, Su JB, Zheng GL, Xu AJ, Chen G, Zhang Y, Liu Y, Hou XH, Qiu HB, Sun QY, Hu JY, Lv ZL, Wang Y, Jiang HB, Bao N, Han ZJ, Lu QB, Sun HJ. Gut microbiome and metabolites mediate the benefits of caloric restriction in mice after acute kidney injury. Redox Biol 2024; 77:103373. [PMID: 39357422 PMCID: PMC11471245 DOI: 10.1016/j.redox.2024.103373] [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: 09/03/2024] [Accepted: 09/25/2024] [Indexed: 10/04/2024] Open
Abstract
The role of gut microbiome in acute kidney injury (AKI) is increasing recognized. Caloric restriction (CR) has been shown to enhance the resistance to ischemia/reperfusion injury to the kidneys in rodents. Nonetheless, it is unknown whether intestinal microbiota mediated CR protection against ischemic/reperfusion-induced injury (IRI) in the kidneys. Herein, we showed that CR ameliorated IRI-elicited renal dysfunction, oxidative stress, apoptosis, and inflammation, along with enhanced intestinal barrier function. In addition, gut microbiota depletion blocked the favorable effects of CR in AKI mice. 16S rRNA and metabolomics analysis showed that CR enriched the gut commensal Parabacteroides goldsteinii (P. goldsteinii) and upregulated the level of serum metabolite dodecafluorpentan. Intestinal colonization of P. goldsteinii and oral administration of dodecafluorpentan showed the similar beneficial effects as CR in AKI mice. RNA sequencing and experimental data revealed that dodecafluorpentan protected against AKI-induced renal injury by antagonizing oxidative burst and NFκB-induced NLRP3 inflammasome activation. In addition, we screened and found that Hamaudol improved renal insufficiency by boosting the growth of P. goldsteinii. Our results shed light on the role of intestinal microbiota P. goldsteinii and serum metabolites dodecafluorpentan in CR benefits to AKI.
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Affiliation(s)
- Xue-Xue Zhu
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Xiao Fu
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Xin-Yu Meng
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Jia-Bao Su
- Department of Anesthesiology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Guan-Li Zheng
- Department of Anesthesiology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - An-Jing Xu
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Guo Chen
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Yuan Zhang
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Yao Liu
- Department of Ultrasound, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - Xiao-Hui Hou
- Department of Ultrasound, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210000, China
| | - Hong-Bo Qiu
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Qing-Yi Sun
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Jin-Yi Hu
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Zhuo-Lin Lv
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Yao Wang
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China
| | - Hai-Bin Jiang
- Department of Cardiology, Wuxi No.2 People's Hospital (Jiangnan University Medical Center), Wuxi, Jiangsu, China
| | - Neng Bao
- Department of Nephrology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China.
| | - Zhi-Jun Han
- Department of Clinical Research Center, Jiangnan University Medical Center (Wuxi No.2 People's Hospital), Wuxi School of Medicine, Jiangnan University, Wuxi, China.
| | - Qing-Bo Lu
- Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China.
| | - Hai-Jian Sun
- Wuxi School of Medicine, Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China; Department of Endocrinology, Affiliated Hospital of Jiangnan University, Jiangnan University, Wuxi, 214122, China; State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, 210009, China.
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Unger Avila P, Padvitski T, Leote AC, Chen H, Saez-Rodriguez J, Kann M, Beyer A. Gene regulatory networks in disease and ageing. Nat Rev Nephrol 2024; 20:616-633. [PMID: 38867109 DOI: 10.1038/s41581-024-00849-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2024] [Indexed: 06/14/2024]
Abstract
The precise control of gene expression is required for the maintenance of cellular homeostasis and proper cellular function, and the declining control of gene expression with age is considered a major contributor to age-associated changes in cellular physiology and disease. The coordination of gene expression can be represented through models of the molecular interactions that govern gene expression levels, so-called gene regulatory networks. Gene regulatory networks can represent interactions that occur through signal transduction, those that involve regulatory transcription factors, or statistical models of gene-gene relationships based on the premise that certain sets of genes tend to be coexpressed across a range of conditions and cell types. Advances in experimental and computational technologies have enabled the inference of these networks on an unprecedented scale and at unprecedented precision. Here, we delineate different types of gene regulatory networks and their cell-biological interpretation. We describe methods for inferring such networks from large-scale, multi-omics datasets and present applications that have aided our understanding of cellular ageing and disease mechanisms.
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Affiliation(s)
- Paula Unger Avila
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Tsimafei Padvitski
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Ana Carolina Leote
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - He Chen
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Department II of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Julio Saez-Rodriguez
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg University, Heidelberg, Germany
| | - Martin Kann
- Department II of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Andreas Beyer
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany.
- Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Institute for Genetics, Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany.
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Perico L, Remuzzi G, Benigni A. Sirtuins in kidney health and disease. Nat Rev Nephrol 2024; 20:313-329. [PMID: 38321168 DOI: 10.1038/s41581-024-00806-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/04/2024] [Indexed: 02/08/2024]
Abstract
Sirtuins (SIRTs) are putative regulators of lifespan in model organisms. Since the initial discovery that SIRTs could promote longevity in nematodes and flies, the identification of additional properties of these proteins has led to understanding of their roles as exquisite sensors that link metabolic activity to oxidative states. SIRTs have major roles in biological processes that are important in kidney development and physiological functions, including mitochondrial metabolism, oxidative stress, autophagy, DNA repair and inflammation. Furthermore, altered SIRT activity has been implicated in the pathophysiology and progression of acute and chronic kidney diseases, including acute kidney injury, diabetic kidney disease, chronic kidney disease, polycystic kidney disease, autoimmune diseases and renal ageing. The renoprotective roles of SIRTs in these diseases make them attractive therapeutic targets. A number of SIRT-activating compounds have shown beneficial effects in kidney disease models; however, further research is needed to identify novel SIRT-targeting strategies with the potential to treat and/or prevent the progression of kidney diseases and increase the average human healthspan.
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Affiliation(s)
- Luca Perico
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Giuseppe Remuzzi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Ariela Benigni
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
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Yan LJ. The Nicotinamide/Streptozotocin Rodent Model of Type 2 Diabetes: Renal Pathophysiology and Redox Imbalance Features. Biomolecules 2022; 12:biom12091225. [PMID: 36139064 PMCID: PMC9496087 DOI: 10.3390/biom12091225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/30/2022] [Accepted: 08/31/2022] [Indexed: 12/15/2022] Open
Abstract
Diabetic nephropathy (DN) is a common complication of diabetes mellitus. While there has been a great advance in our understanding of the pathogenesis of DN, no effective managements of this chronic kidney disease are currently available. Therefore, continuing to elucidate the underlying biochemical and molecular mechanisms of DN remains a constant need. In this regard, animal models of diabetes are indispensable tools. This review article highlights a widely used rodent model of non-obese type 2 diabetes induced by nicotinamide (NA) and streptozotocin (STZ). The mechanism underlying diabetes induction by combining the two chemicals involves blunting the toxic effect of STZ by NA so that only a percentage of β cells are destroyed and the remaining viable β cells can still respond to glucose stimulation. This NA-STZ animal model, as a platform for the testing of numerous antidiabetic and renoprotective materials, is also discussed. In comparison with other type 2 diabetic animal models, such as high-fat-diet/STZ models and genetically engineered rodent models, the NA-STZ model is non-obese and is less time-consuming and less expensive to create. Given that this unique model mimics certain pathological features of human DN, this model should continue to find its applications in the field of diabetes research.
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Affiliation(s)
- Liang-Jun Yan
- Department of Pharmaceutical Sciences, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX 76107, USA
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