Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney Disease

Disturbance of circulating metabolites and disorders of the gut microbiota are involved in the progression of diabetic kidney disease (DKD). However, there is limited research on the relationship between serum metabolites and gut microbiota, and their involvement in DKD. In this study, using an expe...

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Main Authors: Bo Zhang, Yuzhou Wan, Xuefeng Zhou, Haojun Zhang, Hailing Zhao, Liang Ma, Xi Dong, Meihua Yan, Tingting Zhao, Ping Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Pharmacology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2022.872988/full
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author Bo Zhang
Bo Zhang
Yuzhou Wan
Xuefeng Zhou
Haojun Zhang
Hailing Zhao
Liang Ma
Xi Dong
Meihua Yan
Tingting Zhao
Tingting Zhao
Ping Li
author_facet Bo Zhang
Bo Zhang
Yuzhou Wan
Xuefeng Zhou
Haojun Zhang
Hailing Zhao
Liang Ma
Xi Dong
Meihua Yan
Tingting Zhao
Tingting Zhao
Ping Li
author_sort Bo Zhang
collection DOAJ
description Disturbance of circulating metabolites and disorders of the gut microbiota are involved in the progression of diabetic kidney disease (DKD). However, there is limited research on the relationship between serum metabolites and gut microbiota, and their involvement in DKD. In this study, using an experimental DKD rat model induced by combining streptozotocin injection and unilateral nephrectomy, we employed untargeted metabolomics and 16S rRNA gene sequencing to explore the relationship between the metabolic profile and the structure and function of gut microbiota. Striking alterations took place in 140 serum metabolites, as well as in the composition and function of rat gut microbiota. These changes were mainly associated with carbohydrate, lipid, and amino acid metabolism. In these pathways, isomaltose, D-mannose, galactonic acid, citramalic acid, and prostaglandin B2 were significantly upregulated. 3-(2-Hydroxyethyl)indole, 3-methylindole, and indoleacrylic acid were downregulated and were the critical metabolites in the DKD model. Furthermore, the levels of these three indoles were restored after treatment with the traditional Chinese herbal medicine Tangshen Formula. At the genera level, g_Eubacterium_nodatum_group, g_Lactobacillus, and g_Faecalibaculum were most involved in metabolic disorders in the progression of DKD. Notably, the circulating lipid metabolites had a strong relationship with DKD-related parameters and were especially negatively related to the mesangial matrix area. Serum lipid indices (TG and TC) and UACR were directly associated with certain microbial genera. In conclusion, the present research verified the anomalous circulating metabolites and gut microbiota in DKD progression. We also identified the potential metabolic and microbial targets for the treatment of DKD.
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spelling doaj.art-160efa75f14b43b385527191ac8c8eae2022-12-22T02:20:25ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122022-04-011310.3389/fphar.2022.872988872988Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney DiseaseBo Zhang0Bo Zhang1Yuzhou Wan2Xuefeng Zhou3Haojun Zhang4Hailing Zhao5Liang Ma6Xi Dong7Meihua Yan8Tingting Zhao9Tingting Zhao10Ping Li11Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaGraduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaBeijing Key Laboratory for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Sciences, China–Japan Friendship Hospital, Beijing, ChinaDisturbance of circulating metabolites and disorders of the gut microbiota are involved in the progression of diabetic kidney disease (DKD). However, there is limited research on the relationship between serum metabolites and gut microbiota, and their involvement in DKD. In this study, using an experimental DKD rat model induced by combining streptozotocin injection and unilateral nephrectomy, we employed untargeted metabolomics and 16S rRNA gene sequencing to explore the relationship between the metabolic profile and the structure and function of gut microbiota. Striking alterations took place in 140 serum metabolites, as well as in the composition and function of rat gut microbiota. These changes were mainly associated with carbohydrate, lipid, and amino acid metabolism. In these pathways, isomaltose, D-mannose, galactonic acid, citramalic acid, and prostaglandin B2 were significantly upregulated. 3-(2-Hydroxyethyl)indole, 3-methylindole, and indoleacrylic acid were downregulated and were the critical metabolites in the DKD model. Furthermore, the levels of these three indoles were restored after treatment with the traditional Chinese herbal medicine Tangshen Formula. At the genera level, g_Eubacterium_nodatum_group, g_Lactobacillus, and g_Faecalibaculum were most involved in metabolic disorders in the progression of DKD. Notably, the circulating lipid metabolites had a strong relationship with DKD-related parameters and were especially negatively related to the mesangial matrix area. Serum lipid indices (TG and TC) and UACR were directly associated with certain microbial genera. In conclusion, the present research verified the anomalous circulating metabolites and gut microbiota in DKD progression. We also identified the potential metabolic and microbial targets for the treatment of DKD.https://www.frontiersin.org/articles/10.3389/fphar.2022.872988/fullgut microbiotadiabetic kidney diseasecarbohydrate metabolismlipid metabolismserum metabolitesamino acid metabolism
spellingShingle Bo Zhang
Bo Zhang
Yuzhou Wan
Xuefeng Zhou
Haojun Zhang
Hailing Zhao
Liang Ma
Xi Dong
Meihua Yan
Tingting Zhao
Tingting Zhao
Ping Li
Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney Disease
Frontiers in Pharmacology
gut microbiota
diabetic kidney disease
carbohydrate metabolism
lipid metabolism
serum metabolites
amino acid metabolism
title Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney Disease
title_full Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney Disease
title_fullStr Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney Disease
title_full_unstemmed Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney Disease
title_short Characteristics of Serum Metabolites and Gut Microbiota in Diabetic Kidney Disease
title_sort characteristics of serum metabolites and gut microbiota in diabetic kidney disease
topic gut microbiota
diabetic kidney disease
carbohydrate metabolism
lipid metabolism
serum metabolites
amino acid metabolism
url https://www.frontiersin.org/articles/10.3389/fphar.2022.872988/full
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