ArticleBioscience of microbiota, food and health2026
An altered gut microbiota is associated with anthropometric and biochemical changes in a prediabetes Mexican cohort.
Article in Bioscience of microbiota, food and health, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An altered gut microbiota is considered to be an environmental factor contributing to the pathogenesis of various diseases, including metabolic disorders. In this study, we identified changes in the composition of the fecal microbiota of Mexican individuals with prediabetes and analyzed their influences on variables related to this metabolic disorder. Bacterial DNA was extracted from feces of normoglycemic and prediabetes individuals, followed by sequencing of the V4 16S rDNA. Clinical variables were correlated with bacterial abundance and diversity indexes. LEfSe analysis was used to identify relevant bacteria in normoglycemic and prediabetes individuals. Relationships between bacterial clusters and clinical data were assessed with weighted correlation network analysis (WGCNA). Bacterial diversity was positively correlated with anthropometric variables in the control group, while in individuals with prediabetes, it was negatively correlated with the insulin concentration and homeostatic model assessment of insulin resistance (HOMA-IR). We also observed that the microbiota in prediabetes individuals had a higher prevalence of
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.