Modern approaches to gut microbiome investigation: Sequencing, culturomics, metabolomics, and beyond.
Level 5 - mechanism / opinion, no new human data
Narrative review of methodologies without original empirical data or systematic search protocol.
PubMed 42498043 · doi:10.1016/j.mimet.2026.107636
What was done
This review examined current and emerging methodologies used to study the human gut microbiome. It synthesized approaches across sample collection, culture-based methods (culturomics, microfluidics), culture-independent sequencing (16S rRNA sequencing, shotgun metagenomics), multi-omics integration (metabolomics, proteomics, transcriptomics), single-cell and spatial technologies, organ-on-a-chip platforms, and computational methods including machine learning and artificial intelligence.
What was found
The abstract reports no quantitative data or specific numerical results. It provides a descriptive overview summarizing how multi-omic integration, advanced culturing, microfluidic gut models, and predictive computational tools enable deeper investigation of host-microbe interactions and therapeutic translation despite challenges related to microbial diversity and technical complexity.
Why it matters
It provides researchers with a consolidated overview of contemporary technical and computational tools available for interrogating the gut microbiome, assisting in experimental design and clinical translation.
Limits
The paper is a non-systematic narrative review providing no primary experimental data, benchmark comparisons, or quantitative metrics evaluating the accuracy or reproducibility of the discussed techniques.
Cited by
- supports The human gut microbiome is composed of trillions of microorganisms that line the digestive tract and impact immune status, metabolic health, and hormone regulation.