Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adults

Abstract Background Although emerging evidence suggests that indole derivatives, microbial metabolites of tryptophan, may improve cardiometabolic health, the effective metabolites remain unclear. Also, the gut microbiota that involved in producing indole derivatives are less studied. We identified m...

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Main Authors: Yutong Pan, Yamin Li, Zhaohong Peng, Xiaoyu Zhang, Shu Ye, Na Chen, Zhuang Zhang, Wanshui Yang
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Nutrition Journal
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Online Access:https://doi.org/10.1186/s12937-024-01067-4
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author Yutong Pan
Yamin Li
Zhaohong Peng
Xiaoyu Zhang
Shu Ye
Na Chen
Zhuang Zhang
Wanshui Yang
author_facet Yutong Pan
Yamin Li
Zhaohong Peng
Xiaoyu Zhang
Shu Ye
Na Chen
Zhuang Zhang
Wanshui Yang
author_sort Yutong Pan
collection DOAJ
description Abstract Background Although emerging evidence suggests that indole derivatives, microbial metabolites of tryptophan, may improve cardiometabolic health, the effective metabolites remain unclear. Also, the gut microbiota that involved in producing indole derivatives are less studied. We identified microbial taxa that can predict serum concentrations of the key indole metabolite indole-3-propionic acid (IPA) at population level and investigated the associations of indole derivatives and IPA-predicting microbial genera with cardiometabolic risk markers. Methods In a cohort of 318 community-dwelling adults, serum indole metabolites and fecal microbiota (16S ribosomal RNA) were measured at baseline. Total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and fasting blood glucose were repeatedly measured at baseline and again after 1 year. Brachial-ankle pulse wave velocity (baPWV) and ankle-brachial index (ABI) were measured after 1 year. The association between indole derivatives and the 1-year changes in blood lipids and glucose, and association of indole derivatives with baPWV and ABI were investigated using linear regression models. Results Each 1 µmol/L increase in indole-3-acetic acid (IAA) levels was associated with 5.08% (P = 0.046) decrease in LDL-C. IPA levels were inversely associated with baPWV (percentage difference = -1.32%, P = 0.036). Per 1 µmol/L increase in Indole-3-aldehyde (IAld) levels was associated with 1.91% (P = 0.004) decrease in TC and 0.58% (P = 0.019) increase in ABI, but 1.79% decrease in HDL-C with borderline significance (P = 0.050). We identified 18 bacterial genera whose relative abundance was positively associated with serum IPA concentrations (P FDR < 0.05) and constructed a microbial score to reflect the overall IPA-producing potential. This score was inversely associated with baPWV (percentage difference = -0.48%, P = 0.007). Conclusions Our results suggest that IAA, IPA, IAld, and IPA-predicting microbial score are favorably associated with several cardiometabolic risk markers, although IAld may decrease HDL-C levels.
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spelling doaj-art-be7fd408d8a34c54a833327371c394902024-12-29T12:10:49ZengBMCNutrition Journal1475-28912024-12-012311910.1186/s12937-024-01067-4Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adultsYutong Pan0Yamin Li1Zhaohong Peng2Xiaoyu Zhang3Shu Ye4Na Chen5Zhuang Zhang6Wanshui Yang7Department of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical UniversityDepartment of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical UniversityDepartment of Interventional Radiology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Physical Examination Center, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical UniversityDepartment of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical UniversityDepartment of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical UniversityDepartment of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical UniversityAbstract Background Although emerging evidence suggests that indole derivatives, microbial metabolites of tryptophan, may improve cardiometabolic health, the effective metabolites remain unclear. Also, the gut microbiota that involved in producing indole derivatives are less studied. We identified microbial taxa that can predict serum concentrations of the key indole metabolite indole-3-propionic acid (IPA) at population level and investigated the associations of indole derivatives and IPA-predicting microbial genera with cardiometabolic risk markers. Methods In a cohort of 318 community-dwelling adults, serum indole metabolites and fecal microbiota (16S ribosomal RNA) were measured at baseline. Total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and fasting blood glucose were repeatedly measured at baseline and again after 1 year. Brachial-ankle pulse wave velocity (baPWV) and ankle-brachial index (ABI) were measured after 1 year. The association between indole derivatives and the 1-year changes in blood lipids and glucose, and association of indole derivatives with baPWV and ABI were investigated using linear regression models. Results Each 1 µmol/L increase in indole-3-acetic acid (IAA) levels was associated with 5.08% (P = 0.046) decrease in LDL-C. IPA levels were inversely associated with baPWV (percentage difference = -1.32%, P = 0.036). Per 1 µmol/L increase in Indole-3-aldehyde (IAld) levels was associated with 1.91% (P = 0.004) decrease in TC and 0.58% (P = 0.019) increase in ABI, but 1.79% decrease in HDL-C with borderline significance (P = 0.050). We identified 18 bacterial genera whose relative abundance was positively associated with serum IPA concentrations (P FDR < 0.05) and constructed a microbial score to reflect the overall IPA-producing potential. This score was inversely associated with baPWV (percentage difference = -0.48%, P = 0.007). Conclusions Our results suggest that IAA, IPA, IAld, and IPA-predicting microbial score are favorably associated with several cardiometabolic risk markers, although IAld may decrease HDL-C levels.https://doi.org/10.1186/s12937-024-01067-4Indole metabolitesIndole-3-propionic acidCardiometabolic riskGut microbiomeBrachial-ankle pulse wave velocity
spellingShingle Yutong Pan
Yamin Li
Zhaohong Peng
Xiaoyu Zhang
Shu Ye
Na Chen
Zhuang Zhang
Wanshui Yang
Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adults
Nutrition Journal
Indole metabolites
Indole-3-propionic acid
Cardiometabolic risk
Gut microbiome
Brachial-ankle pulse wave velocity
title Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adults
title_full Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adults
title_fullStr Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adults
title_full_unstemmed Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adults
title_short Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adults
title_sort indole derivatives and their associated microbial genera are associated with the 1 year changes in cardiometabolic risk markers in chinese adults
topic Indole metabolites
Indole-3-propionic acid
Cardiometabolic risk
Gut microbiome
Brachial-ankle pulse wave velocity
url https://doi.org/10.1186/s12937-024-01067-4
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