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Chinese female patients with anorexia nervosa showed no significant gut microbiota differences versus healthy controls.

Chinese female patients with anorexia nervosa showed no significant gut microbiota differences versu…
Photo by Condor Wei / Unsplash
Key Takeaway
Note that this exploratory cohort study found no robust gut microbiota associations with anorexia nervosa severity in this small sample.

This cohort study evaluated gut microbiota profiles in 30 female patients with anorexia nervosa and 30 healthy controls. The population consisted of Chinese female patients with AN and sex- and age-matched healthy controls. No specific medications were administered as the intervention was the assessment of the gut microbiota profile itself, with healthy controls serving as the comparator. The study setting was not reported, and the follow-up duration was not reported.

Regarding primary outcomes, no significant differences were observed in alpha diversity between the two groups. Similarly, beta diversity analysis revealed differences between AN patients and healthy controls, though specific effect sizes, absolute numbers, p-values, or confidence intervals were not reported. The direction of these beta diversity differences was not reported. Furthermore, no significant differences were observed regarding associations between gut microbiota and body mass index (BMI), disease severity, or childhood trauma scores.

Secondary outcomes included Eating Disorder Inventory (EDI) scores, Childhood Trauma Questionnaire (CTQ) scores, and body mass index (BMI). Nominal (uncorrected) correlations were observed between specific microbiota and psychological traits, but no significant differences were found after rigorous multiple comparison correction. Safety data, including adverse events, serious adverse events, discontinuations, and tolerability, were not reported.

Key limitations include the exploratory nature of the results, which should be considered hypothesis-generating. The findings require validation in larger, longitudinal cohorts to determine reproducibility and biological significance. No robust associations were found after rigorous multiple comparison correction. Consequently, nominal correlations should not be overinterpreted without correction, and findings require validation in larger, longitudinal cohorts.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
Study objectivesEmerging evidence suggests a possible link between anorexia nervosa (AN) and alterations in the gut microbiota. This study aimed to characterize the gut microbiota profile in a cohort of Chinese female patients with AN.MethodA comparative analysis of the gut microbiota was conducted between 30 female patients with AN and 30 sex- and age-matched healthy controls (HCs). Fecal samples were collected for 16S rRNA gene sequencing analysis. All participants were assessed using the Eating Disorder Inventory (EDI) and the Childhood Trauma Questionnaire (CTQ). Bioinformatics analysis was performed using QIIME2, and statistical analyses were carried out with SPSS 26.0 and R software. Correlations between microbiota differences and body mass index (BMI), EDI, and CTQ were further investigated.ResultsThe analysis revealed differences in beta diversity and the abundances of specific microbial taxa between the two groups; however, no significant differences were observed in alpha diversity nor in the associations between gut microbiota and BMI, disease severity, or childhood trauma.ConclusionsThis study identified limited differences in the gut microbiota composition between patients with AN and HCs. Critically, no robust associations between gut microbiota and clinical features were found after rigorous multiple comparison correction. While nominal (uncorrected) correlations were observed between the specific microbiota and psychological traits, these results are exploratory and should be considered hypothesis-generating. They highlight a potential avenue for future research but require validation in larger, longitudinal cohorts to determine their reproducibility and biological significance.
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