ArticleBMC microbiology2025
Correlation between gut microbiota and metabolomics under intermittent hypoxic conditions.
Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
objectiveThis study investigates the role of gut microbiota and metabolites as biomarkers in the diagnosis and assessment of Obstructive Sleep Apnea (OSA) by analyzing the correlation between microbiota and metabolomics in the host's gut under conditions of chronic intermittent hypoxia (CIH).
methodsWe analyzed the composition and function of gut microorganisms and metabolites in OSA and CIH mouse models using 16S rRNA sequencing combined with targeted metabolomics to evaluate the association between clinical indicators and severity of OSA and gut flora and metabolites.
resultsCompared with normal controls, we found: (1) The apnea hypoventilation index (AHI) and fasting blood glucose were higher in the moderate and severe OSA groups, the eosinophilia score (EP) and neutrophil percentage were significantly higher in the severe OSA group, and the percentage of lymphocytes in the blood count and platelet pressures were lower in the moderate group (P < 0.05).(2) The OSA and CIH groups showed an increase in the abundance of Firmicutes and Tenotrophomonas, and a decrease in the abundance of Bacteroidota and Ligilactobacillus (P < 0.05).(3) The OSA and CIH groups had elevated Nervonic acid and Erucic acid and decreased Arachidonic acid (P < 0.05). In addition, correlation analysis showed that: There was a negative correlation between Coprobacillus and percentage of lymphocytes, and Bacteroidota and EP and AHI;and a positive correlation between Lactococcus and Neutrophils, Arachidonic acid and width of erythrocyte distribution, and Erucic and Neuronic acids and AHI (P < 0.05).
conclusionThe CIH condition can lead to microbial and metabolite alterations, which correlate with disease severity and clinical indicators, and is expected to be a new biomarker for the diagnosis and assessment of severity of OSA.
Indexed as
Identifiers
What Socratic 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 Socratic graph.