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 |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:8 |
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Enthalten in: |
mSystems - 8(2023), 6 vom: 21. Dez., Seite e0082823 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Ma, Chenchen [VerfasserIn] |
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Links: |
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Themen: |
Gut microbiome |
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Anmerkungen: |
Date Completed 22.12.2023 Date Revised 23.12.2023 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1128/msystems.00828-23 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM363977724 |
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700 | 1 | |a Zhang, Jiachao |e verfasserin |4 aut | |
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