ArticleMicroorganisms2025
Exploring the Interplay Between Fatigue and the Oral Microbiome: A Longitudinal Approach.
Article in Microorganisms, 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
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fatigue is a pervasive burden for emerging medical professionals, often impacted by stress and lifestyle factors, yet insufficiently explained by these aspects alone. Considering the profound immediate and long-term consequences for physician well-being and patient care, exploring the interplay between biological factors, such as the oral microbiome and fatigue, emerges as a critical area of investigation. This exploratory longitudinal study investigates the relationship between oral microbiome diversity and fatigue in first-year medical students across four timepoints, where they provided buccal swabs and completed lifestyle and standardized stress, sleep, and fatigue assessments (PSQI, FAS, PSS). Microbiome analysis was performed using 16S rRNA sequencing and QIIME2-based bioinformatics to identify genus-level profiles and core microbiome composition. Forty-five healthy participants were assessed. Significant increases in fatigue and fluctuations in oral microbiome diversity were observed, with alpha diversity peaking mid-year before declining. Illness frequency and antibiotic use also rose, potentially influencing microbial shifts. These fluctuations may be indicative of an adaptation process where oral microbial diversity adjusts to changes in the subject's environment, which in this case is entering medical school. Despite no clear clustering in biodiversity metrics, associations between fatigue and microbiome richness were noted, suggesting that physiologic fatigue and environmental stressors may contribute to microbial variability. Limitations of the study include a small sample size, attrition, and representativeness of the study population. This study presents a longitudinal baseline that may serve as a reference for future investigations. These findings may support the development of targeted interventions designed to modulate microbial composition as a novel approach to alleviating fatigue.
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.