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Saranya G, Viswanathan P. Identification of renal protective gut microbiome derived-metabolites in diabetic chronic kidney disease: An integrated approach using network pharmacology and molecular docking. Saudi J Biol Sci 2024; 31:104028. [PMID: 38854894 PMCID: PMC11154206 DOI: 10.1016/j.sjbs.2024.104028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/14/2024] [Accepted: 05/19/2024] [Indexed: 06/11/2024] Open
Abstract
Metabolites from the gut microbiota define molecules in the gut-kidney cross talks. However, the mechanistic pathway by which the kidneys actively sense gut metabolites and their impact on diabetic chronic kidney disease (DCKD) remains unclear. This study is an attempt to investigate the gut microbiome metabolites, their host targeting genes, and their mechanistic action against DCKD. Gut microbiome, metabolites, and host targets were extracted from the gutMgene database and metabolites from the PubChem database. DCKD targets were identified from DisGeNET, GeneCard, NCBI, and OMIM databases. Computational examination such as protein-protein interaction networks, enrichment pathway, identification of metabolites for potential targets using molecular docking, hubgene-microbes-metabolite-samplesource-substrate (HMMSS) network architecture were executed using Network analyst, ShinyGo, GeneMania, Cytoscape, Autodock tools. There were 574 microbial metabolites, 2861 DCKD targets, and 222 microbes targeting host genes. After screening, we obtained 27 final targets, which are used for computational examination. From enrichment analysis, we found NF-ΚB1, AKT1, EGFR, JUN, and RELA as the main regulators in the DCKD development through mitogen activated protein kinase (MAPK) pathway signalling. The (HMMSS) network analysis found F.prausnitzi, B.adolescentis, and B.distasonis probiotic bacteria that are found in the intestinal epithelium, colonic region, metabolize the substrates like tryptophan, other unknown substrates might have direct interaction with the NF-kB1 and epidermal growth factor receptor (EGFR) targets. On docking of these target proteins with 3- Indole propionic acid (IPA) showed high binding energy affinity of -5.9 kcal/mol and -7.4kcal/mol. From this study we identified, the 3 IPA produced by F. prausnitzi A2-165 was found to have renal sensing properties inhibiting MAPK/NF-KB1 inflammatory pathway and would be useful in treating CKD in diabetics.
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Affiliation(s)
- G.R. Saranya
- Renal Research Lab, Pearl Research Park, School of Bioscience and Technology, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India
| | - Pragasam Viswanathan
- Renal Research Lab, Pearl Research Park, School of Bioscience and Technology, Vellore Institute of Technology, Vellore 632 014, Tamil Nadu, India
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Tang S, Wu G, Liu Y, Xue B, Zhang S, Zhang W, Jia Y, Xie Q, Liang C, Wang L, Heng H, Wei W, Shi X, Hu Y, Yang J, Zhao L, Wang X, Zhao L, Yuan H. Guild-level signature of gut microbiome for diabetic kidney disease. mBio 2024:e0073524. [PMID: 38819146 DOI: 10.1128/mbio.00735-24] [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: 03/12/2024] [Accepted: 04/01/2024] [Indexed: 06/01/2024] Open
Abstract
Current microbiome signatures for chronic diseases such as diabetic kidney disease (DKD) are mainly based on low-resolution taxa such as genus or phyla and are often inconsistent among studies. In microbial ecosystems, bacterial functions are strain specific, and taxonomically different bacteria tend to form co-abundance functional groups called guilds. Here, we identified guild-level signatures for DKD by performing in-depth metagenomic sequencing and conducting genome-centric and guild-based analysis on fecal samples from 116 DKD patients and 91 healthy subjects. Redundancy analysis on 1,543 high-quality metagenome-assembled genomes (HQMAGs) identified 54 HQMAGs that were differentially distributed among the young healthy control group, elderly healthy control group, early-stage DKD patients (EDG), and late-stage DKD patients (LDG). Co-abundance network analysis classified the 54 HQMAGs into two guilds. Compared to guild 2, guild 1 contained more short-chain fatty acid biosynthesis genes and fewer genes encoding uremic toxin indole biosynthesis, antibiotic resistance, and virulence factors. Guild indices, derived from the total abundance of guild members and their diversity, delineated DKD patients from healthy subjects and between different severities of DKD. Age-adjusted partial Spearman correlation analysis showed that the guild indices were correlated with DKD disease progression and with risk indicators of poor prognosis. We further validated that the random forest classification model established with the 54 HQMAGs was also applicable for classifying patients with end-stage renal disease and healthy subjects in an independent data set. Therefore, this genome-level, guild-based microbial analysis strategy may identify DKD patients with different severity at an earlier stage to guide clinical interventions. IMPORTANCE Traditionally, microbiome research has been constrained by the reliance on taxonomic classifications that may not reflect the functional dynamics or the ecological interactions within microbial communities. By transcending these limitations with a genome-centric and guild-based analysis, our study sheds light on the intricate and specific interactions between microbial strains and diabetic kidney disease (DKD). We have unveiled two distinct microbial guilds with opposite influences on host health, which may redefine our understanding of microbial contributions to disease progression. The implications of our findings extend beyond mere association, providing potential pathways for intervention and opening new avenues for patient stratification in clinical settings. This work paves the way for a paradigm shift in microbiome research in DKD and potentially other chronic kidney diseases, from a focus on taxonomy to a more nuanced view of microbial ecology and function that is more closely aligned with clinical outcomes.
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Affiliation(s)
- Shasha Tang
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Guojun Wu
- Department of Biochemistry and Microbiology and New Jersey Institute for Food, Nutrition, and Health, School of Environmental and Biological Sciences Rutgers University, New Brunswick, New Jersey, USA
- Rutgers-Jiaotong Joint Laboratory for Microbiome and Human Health, New Brunswick, New Jersey, USA
| | - Yalei Liu
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Binghua Xue
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Shihan Zhang
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Weiwei Zhang
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Yifan Jia
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Qinyuan Xie
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Chenghong Liang
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Limin Wang
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Hongyan Heng
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Wei Wei
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Xiaoyang Shi
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Yimeng Hu
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Junpeng Yang
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Lingyun Zhao
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Xiaobing Wang
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
| | - Liping Zhao
- Department of Biochemistry and Microbiology and New Jersey Institute for Food, Nutrition, and Health, School of Environmental and Biological Sciences Rutgers University, New Brunswick, New Jersey, USA
- Rutgers-Jiaotong Joint Laboratory for Microbiome and Human Health, New Brunswick, New Jersey, USA
- State Key Laboratory of Microbial Metabolism and Ministry of Education Key Laboratory of Systems Biomedicine, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Huijuan Yuan
- Department of Endocrinology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Zhengzhou, China
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Yu JX, Chen X, Zang SG, Chen X, Wu YY, Wu LP, Xuan SH. Gut microbiota microbial metabolites in diabetic nephropathy patients: far to go. Front Cell Infect Microbiol 2024; 14:1359432. [PMID: 38779567 PMCID: PMC11109448 DOI: 10.3389/fcimb.2024.1359432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/23/2024] [Indexed: 05/25/2024] Open
Abstract
Diabetic nephropathy (DN) is one of the main complications of diabetes and a major cause of end-stage renal disease, which has a severe impact on the quality of life of patients. Strict control of blood sugar and blood pressure, including the use of renin-angiotensin-aldosterone system inhibitors, can delay the progression of diabetic nephropathy but cannot prevent it from eventually developing into end-stage renal disease. In recent years, many studies have shown a close relationship between gut microbiota imbalance and the occurrence and development of DN. This review discusses the latest research findings on the correlation between gut microbiota and microbial metabolites in DN, including the manifestations of the gut microbiota and microbial metabolites in DN patients, the application of the gut microbiota and microbial metabolites in the diagnosis of DN, their role in disease progression, and so on, to elucidate the role of the gut microbiota and microbial metabolites in the occurrence and prevention of DN and provide a theoretical basis and methods for clinical diagnosis and treatment.
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Affiliation(s)
| | | | | | | | | | - Li-Pei Wu
- Medical Laboratory Department, Affiliated Dongtai Hospital of Nantong University, Dongtai, Jiangsu, China
| | - Shi-Hai Xuan
- Medical Laboratory Department, Affiliated Dongtai Hospital of Nantong University, Dongtai, Jiangsu, China
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Fang Y, Zhang Y, Liu Q, Zheng Z, Ren C, Zhang X. Assessing the causal relationship between gut microbiota and diabetic nephropathy: insights from two-sample Mendelian randomization. Front Endocrinol (Lausanne) 2024; 15:1329954. [PMID: 38562415 PMCID: PMC10982433 DOI: 10.3389/fendo.2024.1329954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/04/2024] [Indexed: 04/04/2024] Open
Abstract
Background The causal association between gut microbiota (GM) and the development of diabetic nephropathy (DN) remains uncertain. We sought to explore this potential association using two-sample Mendelian randomization (MR) analysis. Methods Genome-wide association study (GWAS) data for GM were obtained from the MiBioGen consortium. GWAS data for DN and related phenotypes were collected from the FinngenR9 and CKDGen databases. The inverse variance weighted (IVW) model was used as the primary analysis model, supplemented by various sensitivity analyses. Heterogeneity was assessed using Cochran's Q test, while horizontal pleiotropy was evaluated through MR-Egger regression and the MR-PRESSO global test. Reverse MR analysis was conducted to identify any reverse causal effects. Results Our analysis identified twenty-five bacterial taxa that have a causal association with DN and its related phenotypes (p < 0.05). Among them, only the g_Eubacterium_coprostanoligenes_group showed a significant causal association with type 1 DN (p < Bonferroni-adjusted p-value). Our findings remained consistent regardless of the analytical approach used, with all methods indicating the same direction of effect. No evidence of heterogeneity or horizontal pleiotropy was observed. Reverse MR analysis did not reveal any causal associations. Conclusions This study established a causal association between specific GM and DN. Our findings contribute to current understanding of the role of GM in the development of DN, offering potential insights for the prevention and treatment strategies for this condition.
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Affiliation(s)
- Yipeng Fang
- Laboratory of Molecular Cardiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
| | | | - Qian Liu
- Department of Cardiology, Binzhou Medical University Hospital, Binzhou, Shandong, China
| | - Zenan Zheng
- Shantou University Medical College, Shantou, Guangdong, China
| | - Chunhong Ren
- International Medical Service Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Xin Zhang
- Laboratory of Molecular Cardiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
- Engineering Research Center of Key Technique for Biotherapy of Guangdong, Shantou, Guangdong, China
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Tian E, Wang F, Zhao L, Sun Y, Yang J. The pathogenic role of intestinal flora metabolites in diabetic nephropathy. Front Physiol 2023; 14:1231621. [PMID: 37469558 PMCID: PMC10352811 DOI: 10.3389/fphys.2023.1231621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 06/26/2023] [Indexed: 07/21/2023] Open
Abstract
With the increasing incidence of diabetes, diabetic kidney disease has become a major cause of chronic kidney disease. The role of the gut microbiota in diabetes and its related complications have been extensively investigated; the modulatory effect of the gut microbiota on the host depends on several gut microbial metabolites, particularly short-chain fatty acids, secondary bile acids, and trimethylamine N-oxide. In this review, we focused on the evidence related to the pathogenic role of each of the gut microbial metabolites in diabetic nephropathy. The main novel therapies targeting the gut microbiota include probiotics, dietary prebiotics, synbiotic supplements, and faecal microbiota transplants, although there is no standard treatment principle. Further research is therefore needed to elucidate the link between gut microbes and diabetic nephropathy, and more therapeutic targets should be explored to treat diabetic nephropathy with dysbiosis of the gut microbes.
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Affiliation(s)
- En Tian
- The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Feng Wang
- Beibei Traditional Chinese Medicine Hospital, Chongqing, China
| | - Lei Zhao
- The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yan Sun
- The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jurong Yang
- The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Liu P, Zhu W, Wang Y, Ma G, Zhao H, Li P. Chinese herbal medicine and its active compounds in attenuating renal injury via regulating autophagy in diabetic kidney disease. Front Endocrinol (Lausanne) 2023; 14:1142805. [PMID: 36942026 PMCID: PMC10023817 DOI: 10.3389/fendo.2023.1142805] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 02/17/2023] [Indexed: 03/06/2023] Open
Abstract
Diabetic kidney disease (DKD) is the main cause of end-stage renal disease worldwide, and there is a lack of effective treatment strategies. Autophagy is a highly conserved lysosomal degradation process that maintains homeostasis and energy balance by removing protein aggregates and damaged organelles. Increasing evidence suggests that dysregulated autophagy may contribute to glomerular and tubulointerstitial lesions in the kidney under diabetic conditions. Emerging studies have shown that Chinese herbal medicine and its active compounds may ameliorate diabetic kidney injury by regulating autophagy. In this review, we summarize that dysregulation or insufficiency of autophagy in renal cells, including podocytes, glomerular mesangial cells, and proximal tubular epithelial cells, is a key mechanism for the development of DKD, and focus on the protective effects of Chinese herbal medicine and its active compounds. Moreover, we systematically reviewed the mechanism of autophagy in DKD regulated by Chinese herb compound preparations, single herb and active compounds, so as to provide new drug candidates for clinical treatment of DKD. Finally, we also reviewed the candidate targets of Chinese herbal medicine regulating autophagy for DKD. Therefore, further research on Chinese herbal medicine with autophagy regulation and their targets is of great significance for the realization of new targeted therapies for DKD.
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Affiliation(s)
- Peng Liu
- Shunyi Hospital, Beijing Hospital of Traditional Chinese Medicine, Beijing, China
| | - Wenhui Zhu
- Renal Division, Department of Medicine, Heilongjiang Academy of Chinese Medicine Sciences, Harbin, China
| | - Yang Wang
- Renal Division, Department of Medicine, Heilongjiang Academy of Chinese Medicine Sciences, Harbin, China
| | - Guijie Ma
- Renal Division, Department of Medicine, Heilongjiang Academy of Chinese Medicine Sciences, Harbin, China
| | - Hailing Zhao
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China
- *Correspondence: Hailing Zhao, ; Ping Li,
| | - Ping Li
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China
- *Correspondence: Hailing Zhao, ; Ping Li,
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Wu X, Zhao L, Zhang Y, Li K, Yang J. The role and mechanism of the gut microbiota in the development and treatment of diabetic kidney disease. Front Physiol 2023; 14:1166685. [PMID: 37153213 PMCID: PMC10160444 DOI: 10.3389/fphys.2023.1166685] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/12/2023] [Indexed: 05/09/2023] Open
Abstract
Diabetic kidney disease (DKD) is a common complication in patients with diabetes mellitus (DM). Increasing evidence suggested that the gut microbiota participates in the progression of DKD, which is involved in insulin resistance, renin-angiotensin system (RAS) activation, oxidative stress, inflammation and immunity. Gut microbiota-targeted therapies including dietary fiber, supplementation with probiotics or prebiotics, fecal microbiota transplantation and diabetic agents that modulate the gut microbiota, such as metformin, glucagon-like peptide-1 (GLP-1) receptor agonists, dipeptidyl peptidase-4 (DPP-4) inhibitors, and sodium-glucose transporter-2 (SGLT-2) inhibitors. In this review, we summarize the most important findings about the role of the gut microbiota in the pathogenesis of DKD and the application of gut microbiota-targeted therapies.
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Affiliation(s)
- Xiaofang Wu
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lei Zhao
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yujiang Zhang
- Department of Nephrology, Chongqing Jiangjin Second People’s Hospital, Chongqing, China
| | - Kailong Li
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jurong Yang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Jurong Yang,
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Wang P, Guo R, Bai X, Cui W, Zhang Y, Li H, Shang J, Zhao Z. Sacubitril/Valsartan contributes to improving the diabetic kidney disease and regulating the gut microbiota in mice. Front Endocrinol (Lausanne) 2022; 13:1034818. [PMID: 36589853 PMCID: PMC9802116 DOI: 10.3389/fendo.2022.1034818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/31/2022] [Indexed: 12/23/2022] Open
Abstract
Background Diabetic kidney disease (DKD), as a serious microvascular complication of diabetes, has limted treatment options. It is reported that the Sacubitril/Valsartan (Sac/Val) can improve kidney function, and the disordered gut microbiota and part of its metabolites are related to the development of DKD. Therefore, we aim to explore whether the effect of Sac/Val on DKD is associated with the gut microbiota and related plasma metabolic profiles. Methods Male C57BL/6J mice were randomly divided into 3 groups: Con group (n = 5), DKD group (n = 6), and Sac/Val group (n = 6) . Sac/Val group was treated with Sac/Val solution. The intervention was given once every 2 days for 6 weeks. We measured the blood glucose and urine protein level of mice at different times. We then collected samples at the end of experiment for the 16s rRNA gene sequencing analysis and the untargeted plasma metabonomic analysis. Results We found that the plasma creatinine concentration of DKD-group mice was significantly higher than that of Con-group mice, whereas it was reduced after the Sac/Val treatment. Compared with DKD mice, Sac/Val treatment could decrease the expression of indicators related to EndMT and renal fibrosis like vimentin, collagen IV and fibronectin in kidney. According to the criteria of LDA ≥ 2.5 and p<0.05, LefSe analysis of gut microbiota identified 13 biomarkers in Con group, and 33 biomarkers in DKD group, mainly including Prevotella, Escherichia_Shigella and Christensenellaceae_R_7_group, etc. For the Sac/Val group, there were 21 biomarkers, such as Bacteroides, Rikenellaceae_RC9_gut_group, Parabacteroides, Lactobacillus, etc. Plasma metabolomics analysis identified a total of 648 metabolites, and 167 important differential metabolites were screened among groups. KEGG pathway of tryptophan metabolism: M and bile secretion: OS had the highest significance of enrichment. Conclusions Sac/Val improves the renal function of DKD mice by inhibiting renal fibrosis. This drug can also regulate gut microbiota in DKD mice.
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Affiliation(s)
- Peipei Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou University, Zhengzhou, China
| | - Ruixue Guo
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou University, Zhengzhou, China
| | - Xiwen Bai
- Nanchang University Queen Mary School, Nanchang, China
| | - Wen Cui
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou University, Zhengzhou, China
| | - Yiding Zhang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou University, Zhengzhou, China
| | - Huangmin Li
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou University, Zhengzhou, China
| | - Jin Shang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Laboratory Animal Platform of Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
- Nephropathy Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhanzheng Zhao
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Laboratory Animal Platform of Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
- Nephropathy Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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