Lipid and Energy Metabolism of the Gut Microbiota Is Associated with the Response to Probiotic Bifidobacterium breve Strain for Anxiety and Depressive Symptoms in Schizophrenia.
Ryodai YamamuraRyo OkuboNoriko KatsumataToshitaka OdamakiNaoki HashimotoIchiro KusumiJin-Zhong XiaoYutaka J MatsuokaPublished in: Journal of personalized medicine (2021)
A recent meta-analysis found that probiotics have moderate-to-large beneficial effects on depressive symptoms in patients with psychiatric disorders. However, it remains unclear how the baseline gut microbiota before probiotic administration influences the host's response to probiotics. Therefore, we aimed to determine whether the predicted functional profile of the gut microbiota influences the effectiveness of probiotic treatment in patients with schizophrenia. A total of 29 patients with schizophrenia consumed Bifidobacterium breve A-1 (synonym B. breve MCC1274) for 4 weeks. We considered patients who showed a 25% or more reduction in the Hospital Anxiety and Depression Scale total score at 4 weeks from baseline to be "responders" and those who did not to be "non-responders". We predicted the gut microbial functional genes based on 16S rRNA gene sequences and applied the linear discriminant analysis effect size method to determine the gut microbial functional genes most likely to explain the differences between responders and non-responders at baseline. The results showed that lipid and energy metabolism was elevated at baseline in responders (n = 12) compared to non-responders (n = 17). These findings highlight the importance of assessing the gut microbial functional genes at baseline before probiotic therapy initiation in patients with psychiatric disorders.
Keyphrases
- depressive symptoms
- systematic review
- genome wide
- microbial community
- genome wide identification
- randomized controlled trial
- bacillus subtilis
- healthcare
- sleep quality
- stem cells
- social support
- dna methylation
- lactic acid
- emergency department
- gene expression
- transcription factor
- copy number
- bioinformatics analysis
- mesenchymal stem cells
- physical activity
- preterm birth
- adverse drug