4.8 Article

Cognitive behavioral therapy for irritable bowel syndrome induces bidirectional alterations in the brain-gut-microbiome axis associated with gastrointestinal symptom improvement

Journal

MICROBIOME
Volume 9, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s40168-021-01188-6

Keywords

Cognitive behavioral therapy; Irritable bowel syndrome; Brain-gut-microbiome axis; Neuroimaging; Biomarkers; Outcome prediction

Categories

Funding

  1. VA [CDA2 IK2CX001717]
  2. NIH [K23 DK106528, R03 DK121025, R01 DK048351, R01 DK064539]
  3. Office of UB Vice Provost of Research and Genomic Environment and Microbiome Research [R01 DK096606, U01 DK077738]
  4. [P30 DK041301]
  5. [P50 DK082370]

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This study found that pre-treatment intestinal microbiota and serotonin levels can predict the response to CBT in IBS patients. Responders to CBT showed changes in brain connectivity and microbiome post-treatment, indicating potential top-down effects of the brain on the microbiome during CBT.
Background: There is growing recognition that bidirectional signaling between the digestive tract and the brain contributes to irritable bowel syndrome (IBS). We recently showed in a large randomized controlled trial that cognitive behavioral therapy (CBT) reduces IBS symptom severity. This study investigated whether baseline brain and gut microbiome parameters predict CBT response and whether response is associated with changes in the brain-gut-microbiome (BGM) axis. Methods: Eighty-four Rome III-diagnosed IBS patients receiving CBT were drawn from the Irritable Bowel Syndrome Outcome Study (IBSOS; NCT00738920) for multimodal brain imaging and psychological assessments at baseline and after study completion. Fecal samples were collected at baseline and post-treatment from 34 CBT recipients for 16S rRNA gene sequencing, untargeted metabolomics, and measurement of short-chain fatty acids. Clinical measures, brain functional connectivity and microstructure, and microbiome features associated with CBT response were identified by multivariate linear and negative binomial models. Results: At baseline, CBT responders had increased fecal serotonin levels, and increased Clostridiales and decreased Bacteroides compared to non-responders. A random forests classifier containing 11 microbial genera predicted CBT response with high accuracy (AUROC 0.96). Following treatment, CBT responders demonstrated reduced functional connectivity in regions of the sensorimotor, brainstem, salience, and default mode networks and changes in white matter in the basal ganglia and other structures. Brain changes correlated with microbiome shifts including Bacteroides expansion in responders. Conclusions: Pre-treatment intestinal microbiota and serotonin levels were associated with CBT response, suggesting that peripheral signals from the microbiota can modulate central processes affected by CBT that generate abdominal symptoms in IBS. CBT response is characterized by co-correlated shifts in brain networks and gut microbiome that may reflect top-down effects of the brain on the microbiome during CBT.

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