Cross-cohort single-nucleotide-variant profiling of gut microbiota suggests a novel gut-health assessment approach

IMPORTANCE: Most studies focused much on the change in abundance and often failed to explain the microbiome variation related to disease conditions, Herein, we argue that microbial genetic changes can precede the ecological changes associated with the host physiological changes and, thus, would offer a new information layer from metagenomic data for predictive modeling of diseases. Interestingly, we preliminarily found a few genetic biomarkers on SCFA production can cover most chronic diseases involved in the meta-analysis. In the future, it is of both scientific and clinical significance to further explore the dynamic interactions between adaptive evolution and ecology of gut microbiota associated with host health status.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

mSystems - 8(2023), 6 vom: 21. Dez., Seite e0082823

Sprache:

Englisch

Beteiligte Personen:

Ma, Chenchen [VerfasserIn]
Zhang, Yufeng [VerfasserIn]
Jiang, Shuaiming [VerfasserIn]
Teng, Fei [VerfasserIn]
Huang, Shi [VerfasserIn]
Zhang, Jiachao [VerfasserIn]

Links:

Volltext

Themen:

Gut microbiome
Gut microbiome health index
Journal Article
Meta-Analysis
Nucleotides
SNV rate
Short-chain fatty acids
Single-nucleotide variation
Variant bias

Anmerkungen:

Date Completed 22.12.2023

Date Revised 23.12.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1128/msystems.00828-23

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM363977724