Application to a human sample from a patient with type 2 Diabetes Mellitus recovered a dysbiotic signature consistent with the literature, including reduced Firmicutes abundance, elevated Bacteroidetes and Proteobacteria, and a predominance of clinical associations within metabolic and gastrointestinal categories.
These findings provide a multi-layer description of T2D-associated gut microbiome variation within this cohort, consistent with preserved higher-order community organization accompanied by finer-scale differences in species composition, functional potential, community-state occupancy, statistical co-occurrence, and wit...
Jun Zhou, Pei-Jie Du, Limin Liu et al.· Frontiers in Microbiology· 0 citations
This review presents a practical, workflow-oriented guide to microbiome data analysis, from raw DNA sequence processing to statistical interpretation and biological insight, and highlights emerging technologies, including machine learning methods that are beginning to reshape the field.
Jenna Poelzer, D. Wishart· Frontiers in Microbiology· 0 citations
MGM2 provides a sequence-aware and interpretable representation layer for microbiome classification, paired-community prediction, forecasting and feature discovery and a 4,096-feature sparse autoencoder atlas resolves taxonomic, abundance, ecological and technical signals.
HuMMANet provides a standardized framework for reproducible microbiome–metabolome integration, enabling cross-study discovery and translational prioritization of conserved microbiome-derived metabolic signatures across human populations and disease states.
The findings identify distinct tongue microbiome orotypes with conserved core functions, divergent taxonomic and metabolic profiles, and provide new insights into the tongue phageome, establishing a foundation for investigating their roles in health.
S. Al-Maweri, R. Ba-Hattab, A. Alomairi et al.· Journal of Oral Microbiology· 0 citations
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