ArticleBMC microbiology2026
The study on the identification of cross-boundary microbiome enterotypes between high-altitude and coastal populations and their predictive value.
Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
objectiveTo investigate the differences in gut microbiome composition among multi-center populations from coastal and high-altitude regions of China and their association with colorectal adenoma (CRA). METHODS AND ANALYSIS: Metagenomic sequencing was performed on stool samples collected from 295 participants. Diversity, principal component, and linear discriminant analyses were conducted to assess microbial composition and functional differences related to geography and disease status.
resultsIn high-altitude populations, bacterial enterotypes were predominantly Prevotella, fungal enterotypes Saccharomyces, and archaeal enterotypes Methanobrevibacter, differing from those in coastal populations. Combining bacterial, fungal, and archaeal features improved classification accuracy between high-altitude and coastal populations (AUC = 0.84) and between high-altitude and coastal adenoma patients (AUC = 0.85). Specific enterotypes were observed to correlate significantly with metabolic pathways in high-altitude populations.
conclusionSignificant differences in gut microbiome enterotypes exist across geographic populations, with specific enterotypes in high-altitude populations potentially associated with a lower prevalence of CRA. These findings provide new insights into the gut microbiome–geography relationship and support microbiome-based diagnostic and therapeutic strategies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.