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

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 funct

SUBMITTER: Gu Z 

PROVIDER: S-EPMC11513438 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature