Gut microbiota, serum metabolites, and lipids related to blood glucose control and type 1 diabetes

IF 3 2区医学 Q2 ENDOCRINOLOGY & METABOLISM

Journal of Diabetes Pub Date : 2024-10-27 DOI:10.1111/1753-0407.70021

Zhaohe Gu, Lanxin Pan, Huiling Tan, Xulin Wang, Jing Wang, Xueying Zheng, Jianping Weng, Sihui Luo, Tong Yue, Yu Ding

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Abstract

Background

The composition and function of gut microbiota, lipids, and metabolites in patients with type 1 diabetes (T1D) or its association with glycemic control remains unknown. We aimed to use multi-omics sequencing technology and machine learning (ML) approaches to investigate potential function and relationships among the gut microbiota, lipids, and metabolites in T1D patients at varied glycemic levels.

Methods

We conducted a multi-omics analysis of the gut microbiome from fecal samples, metabolites, and lipids obtained from serum samples, collected from a cohort of 72 T1D patients. The patients were divided into two groups based on their hemoglobin A1c (HbA1c) levels. 16S rRNA sequencing, and metabolomics methods were applied to analyze changes in composition and function of gut microbiota, metabolites, and lipids.

Results

The linear discriminant analysis, Shapley additive explanations (SHAP) algorithm, and ML algorithms revealed the enrichment of Bacteroides_nordii, Bacteroides_cellulosilyticus in the glycemic control (GC) group, while Bacteroides_coprocola and Sutterella_wadsworthensis were enriched in the poor glycemic control (PGC) group. Several metabolic enrichment sets like fatty acid biosynthesis and glycerol phosphate shuttle metabolism were different between two groups. Bacteroides_nordii exhibited a negative association with D-fructose, a component involved in the starch and sucrose metabolism pathway, as well as with monoglycerides (16:0) involved in the glycerolipid metabolism pathway.

Conclusions

We identified distinct characteristics of gut microbiota, metabolites, and lipids in T1D patients exhibiting different levels of glycemic control. Through comprehensive analysis, microbiota (Bacteroides_nordii, Bacteroides_coprocola), metabolites (D-fructose), and lipids (Monoglycerides) may serve as potential mediators that communicated the interaction between the gut, circulatory systems, and glucose fluctuations in T1D patients.

Abstract Image

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与血糖控制和 1 型糖尿病有关的肠道微生物群、血清代谢物和血脂。

背景：1型糖尿病（T1D）患者肠道微生物群、血脂和代谢物的组成和功能及其与血糖控制的关系仍然未知。我们旨在利用多组学测序技术和机器学习（ML）方法，研究不同血糖水平下 T1D 患者肠道微生物群、脂类和代谢物的潜在功能及其相互关系：我们对 72 名 T1D 患者的粪便样本、代谢物和血清样本中的脂质进行了肠道微生物组的多组学分析。根据血红蛋白 A1c（HbA1c）水平将患者分为两组。应用 16S rRNA 测序和代谢组学方法分析肠道微生物群、代谢物和脂质的组成和功能变化：线性判别分析、沙普利加法解释（SHAP）算法和ML算法显示，血糖控制（GC）组中富集了Bacteroides_nordii和Bacteroides_cellulosilyticus，而血糖控制不良（PGC）组中富集了Bacteroides_coprocola和Sutterella_wadsworthensis。脂肪酸生物合成和甘油磷酸穿梭代谢等几个代谢富集组在两组之间存在差异。诺迪氏菌与淀粉和蔗糖代谢途径中的 D-果糖以及甘油脂代谢途径中的单甘酯（16:0）呈负相关：我们发现了不同血糖控制水平的 T1D 患者肠道微生物群、代谢物和脂质的不同特征。通过综合分析，微生物群（Bacteroides_nordii、Bacteroides_coprocola）、代谢物（D-果糖）和脂类（甘油三酯）可能是沟通 T1D 患者肠道、循环系统和血糖波动之间相互作用的潜在媒介。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Diabetes ENDOCRINOLOGY & METABOLISM-

CiteScore

6.50

自引率

2.20%

发文量

审稿时长

>12 weeks

期刊介绍： Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation. The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.