Medizinische Universität Graz - Research portal

Logo MUG Resarch Portal

Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Kipper, JA; Wiener, M; Horvath, A; Haidacher, F; Lackner, S; Holasek, S; Ramirez-Obermayer, A; Bengesser, S; Baranyi, A; Lahousen-Luxenberger, T; Leitner, M; Butler, MI; Wagner-Skacel, J; Mörkl, S.
Beyond the surface: gut microbiome and implicit learning in anorexia nervosa - A pilot study
J PSYCHOSOM RES. 2025; 194: 112164 Doi: 10.1016/j.jpsychores.2025.112164
Web of Science PubMed FullText FullText_MUG

 

Leading authors Med Uni Graz
Leal Garcia Sabrina
Co-authors Med Uni Graz
Baranyi Andreas
Bengesser Susanne
Holasek Sandra Johanna
Horvath Angela
Lackner Sonja
Lahousen-Luxenberger Theresa
Leitner Manuel
Ramirez-Obermayer Anna Maria Antonia
Wagner-Skacel Jolana
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
Background: Anorexia nervosa (AN) is characterized by high mortality, limited treatment options, altered gut microbiome composition, and impaired feedback (FB) learning. This pilot study explores the relationship between gut microbiome composition and reduced implicit FB learning in AN. Methods: Sixteen female patients with AN and fourteen healthy controls (HC) completed the Weather Prediction Task to assess implicit learning (feedback and paired-associate formats). Gut microbiome composition was analyzed via Illumina sequencing, with species differences identified using linear discriminant effect size (LEfSe) analysis. Results: Patients with AN had lower FB learning scores compared to HC (p = .012), while no significant difference in the paired-associate task was found (p = .905). Better feedback learning was associated with greater gut microbiome diversity, indicated by a larger number of observed species (r = 0.45, p = .013), and a higher Shannon index (r = 0.39, p = .035). LEfSe analysis revealed an increased abundance of Akkermansia muciniphila in AN, while short-chain fatty acid-producing species (such as phylum Firmicutes, including Roseburia, Agathobacter and Faecalibacterium) were more prevalent in HC. Participants with higher FB learning exhibited an increase in Actinobacteria, particularly Bifidobacteria, while those with low FB learning had an increase in the Lachnospirales of the phylum Firmicutes. Conclusions: These findings highlight the gut microbiome's potential role in implicit learning in AN, which could play an important role in the success of treatments. Future research should focus on microbiome-targeted interventions, such as probiotics, particularly Bifidobacteria, to improve gut health and implicit learning in patients with AN.

Find related publications in this database (Keywords)
Implicit learning
Feedback learning
Gut microbiome
Anorexia nervosa
Bifidobacteria
© Med Uni GrazImprint