Pan Yutong, Li Yamin, Peng Zhaohong, Zhang Xiaoyu, Ye Shu, Chen Na, Zhang Zhuang, Yang Wanshui
Department of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China.
Nutr J. 2024 Dec 28;23(1):160. doi: 10.1186/s12937-024-01067-4.
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.
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.
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 < 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).
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.
尽管新出现的证据表明,色氨酸的微生物代谢产物吲哚衍生物可能改善心脏代谢健康,但有效的代谢产物仍不明确。此外,参与产生吲哚衍生物的肠道微生物群研究较少。我们在人群水平上确定了能够预测关键吲哚代谢产物吲哚 - 3 - 丙酸(IPA)血清浓度的微生物分类群,并研究了吲哚衍生物和预测IPA的微生物属与心脏代谢风险标志物之间的关联。
在一个由318名社区居住成年人组成的队列中,在基线时测量血清吲哚代谢产物和粪便微生物群(16S核糖体RNA)。在基线时和1年后再次重复测量总胆固醇(TC)、甘油三酯(TG)、高密度脂蛋白胆固醇(HDL - C)、低密度脂蛋白胆固醇(LDL - C)和空腹血糖。在1年后测量肱踝脉搏波速度(baPWV)和踝臂指数(ABI)。使用线性回归模型研究吲哚衍生物与血脂和血糖1年变化之间的关联,以及吲哚衍生物与baPWV和ABI之间的关联。
吲哚 - 3 - 乙酸(IAA)水平每增加1 μmol/L,与LDL - C降低5.08%(P = 0.046)相关。IPA水平与baPWV呈负相关(百分比差异 = -1.32%,P = 0.036)。吲哚 - 3 - 醛(IAld)水平每增加1 μmol/L,与TC降低1.91%(P = 0.004)和ABI增加0.58%(P = 0.019)相关,但与HDL - C降低1.79%,具有临界显著性(P = 0.050)。我们确定了18个细菌属,其相对丰度与血清IPA浓度呈正相关(P < 0.05),并构建了一个微生物评分来反映总体IPA产生潜力。该评分与baPWV呈负相关(百分比差异 = -0.48%,P = 0.007)。
我们的结果表明,IAA、IPA、IAld和预测IPA的微生物评分与几种心脏代谢风险标志物呈良好关联,尽管IAld可能降低HDL - C水平。