Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning.

• Tác giả: Xavier Chavarria, Yoon Hee Cho, Jun Ho Choi, Dongjun Kang, Ju Yeong Kim, Myungjun Kim, Singeun Oh, Hyun Seo Park, Myung-Hee Yi
• Ngôn ngữ: eng
• Ký hiệu phân loại: 636.089 Veterinary sciences Veterinary medicine
• Thông tin xuất bản: England : Microbial genomics , 2025
• Bộ sưu tập: NCBI
• ID: 684936

Tóm tắt

Diabetes mellitus is a complex metabolic disorder and one of the fastest-growing global public health concerns. The gut microbiota is implicated in the pathophysiology of various diseases, including diabetes. This study utilized 16S rRNA metagenomic data from a volunteer citizen science initiative to investigate microbial markers associated with diabetes status (positive or negative) and type (type 1 or type 2 diabetes mellitus) using supervised machine learning (ML) models. The diversity of the microbiome varied according to diabetes status and type. Differential microbial signatures between diabetes types and negative group revealed an increased presence of