Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy

Diabetic glomerulopathy (DG) remains the prevalent microvascular complication and leading cause of shortened lifespan in type-2 diabetes mellitus (T2DM) despite improvement in hyperglycemia control. Considering the pivotal role of kidney in metabolism, using untargeted metabolomic techniques to glob...

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Main Authors: Fanliang Zhang, Ruixue Guo, Wen Cui, Li Wang, Jing Xiao, Jin Shang, Zhanzheng Zhao
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Renal Failure
Subjects:
Online Access:http://dx.doi.org/10.1080/0886022X.2021.1937219
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spelling doaj-585a98988f3e43338896e398787ae40b2021-07-06T11:30:09ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492021-01-0143198099210.1080/0886022X.2021.19372191937219Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathyFanliang Zhang0Ruixue Guo1Wen Cui2Li Wang3Jing Xiao4Jin Shang5Zhanzheng Zhao6Department of Nephrology, the First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou UniversityBiobank of, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou UniversityDepartment of Nephrology, the First Affiliated Hospital of Zhengzhou UniversityDiabetic glomerulopathy (DG) remains the prevalent microvascular complication and leading cause of shortened lifespan in type-2 diabetes mellitus (T2DM) despite improvement in hyperglycemia control. Considering the pivotal role of kidney in metabolism, using untargeted metabolomic techniques to globally delineate the serum metabolite profiles will help advance understanding pathogenetic underpinnings of renal biopsy-confirmed DG from the perspective of metabolism specifically. Fourteen pathologically diagnosed DG patients secondary to T2DM and 14 age- and gender-matched healthy controls (HCs) were recruited for study. We employed mass spectrometry-based untargeted metabolomic methods to reveal the metabolite profiles of serum samples collected from all included subjects. We identified a total of 334 and 397 metabolites in positive and negative ion mode respectively. One hundred and eighty-two important differential metabolites whose variable importance in projection (VIP) > 1 and p value <0.05 were selected and annotated to metabolic pathways. KEGG pathway enrichment analysis revealed tryptophan metabolism enriched most significantly. Among the tryptophan derivatives, L-tryptophan (L-Trp) and serotonin were relatively accumulated in DGs compared with HCs, while 5-hydroxyindoleacetic acid (5-HIAA) and indole-3-acetamide were depleted. Correlation analysis showed serotonin and L-Trp are negatively correlated with 24 h urine protein and glycosylated hemoglobin (Ghb). To exclude the interference of preexisting T2DM on DG exacerbation, we selected 5-HIAA and 3-(3-hydroxyphenyl) propionic acid (3-OHPPA) which are not correlated with Ghb and analyzed their correlation relationship with crucial renal indices. We found 3-OHPPA is positively correlated with urine total protein and creatinine ratio (T/Cr) and 24 h urine protein, 5-HIAA is positively correlated with serum creatinine and urea.http://dx.doi.org/10.1080/0886022X.2021.1937219diabetic glomerulopathyserum metabolitesmechanismuntargeted metabolomics
collection DOAJ
language English
format Article
sources DOAJ
author Fanliang Zhang
Ruixue Guo
Wen Cui
Li Wang
Jing Xiao
Jin Shang
Zhanzheng Zhao
spellingShingle Fanliang Zhang
Ruixue Guo
Wen Cui
Li Wang
Jing Xiao
Jin Shang
Zhanzheng Zhao
Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy
Renal Failure
diabetic glomerulopathy
serum metabolites
mechanism
untargeted metabolomics
author_facet Fanliang Zhang
Ruixue Guo
Wen Cui
Li Wang
Jing Xiao
Jin Shang
Zhanzheng Zhao
author_sort Fanliang Zhang
title Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy
title_short Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy
title_full Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy
title_fullStr Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy
title_full_unstemmed Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy
title_sort untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy
publisher Taylor & Francis Group
series Renal Failure
issn 0886-022X
1525-6049
publishDate 2021-01-01
description Diabetic glomerulopathy (DG) remains the prevalent microvascular complication and leading cause of shortened lifespan in type-2 diabetes mellitus (T2DM) despite improvement in hyperglycemia control. Considering the pivotal role of kidney in metabolism, using untargeted metabolomic techniques to globally delineate the serum metabolite profiles will help advance understanding pathogenetic underpinnings of renal biopsy-confirmed DG from the perspective of metabolism specifically. Fourteen pathologically diagnosed DG patients secondary to T2DM and 14 age- and gender-matched healthy controls (HCs) were recruited for study. We employed mass spectrometry-based untargeted metabolomic methods to reveal the metabolite profiles of serum samples collected from all included subjects. We identified a total of 334 and 397 metabolites in positive and negative ion mode respectively. One hundred and eighty-two important differential metabolites whose variable importance in projection (VIP) > 1 and p value <0.05 were selected and annotated to metabolic pathways. KEGG pathway enrichment analysis revealed tryptophan metabolism enriched most significantly. Among the tryptophan derivatives, L-tryptophan (L-Trp) and serotonin were relatively accumulated in DGs compared with HCs, while 5-hydroxyindoleacetic acid (5-HIAA) and indole-3-acetamide were depleted. Correlation analysis showed serotonin and L-Trp are negatively correlated with 24 h urine protein and glycosylated hemoglobin (Ghb). To exclude the interference of preexisting T2DM on DG exacerbation, we selected 5-HIAA and 3-(3-hydroxyphenyl) propionic acid (3-OHPPA) which are not correlated with Ghb and analyzed their correlation relationship with crucial renal indices. We found 3-OHPPA is positively correlated with urine total protein and creatinine ratio (T/Cr) and 24 h urine protein, 5-HIAA is positively correlated with serum creatinine and urea.
topic diabetic glomerulopathy
serum metabolites
mechanism
untargeted metabolomics
url http://dx.doi.org/10.1080/0886022X.2021.1937219
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