Compositional Changes in the Gut Microbiota of Responders and Non-responders to Probiotic Treatment Among Patients With Diarrhea-predominant Irritable Bowel Syndrome: A Post Hoc Analysis of a Randomized Clinical Trial

Seung Yong Shin; Sein Park; Jung Min Moon; Kisung Kim; Jeong Wook Kim; Jongsik Chun; Tae Hee Lee; Chang Hwan Choi; Microbiome Research Group of the Korean Society for Neurogastroenterology and Motility

doi:10.5056/jnm21202

Compositional Changes in the Gut Microbiota of Responders and Non-responders to Probiotic Treatment Among Patients With Diarrhea-predominant Irritable Bowel Syndrome: A Post Hoc Analysis of a Randomized Clinical Trial

J Neurogastroenterol Motil. 2022 Oct 30;28(4):642-654. doi: 10.5056/jnm21202.

Affiliations

¹ Chung-Ang University College of Medicine, Department of Internal Medicine, Seoul, Korea.
² Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea.
³ Institute of Molecular Biology and Genetics, Seoul National University, Seoul, Korea.
⁴ School of Biological Sciences, Seoul National University, Seoul, Korea.
⁵ Institute for Digestive Research, Digestive Disease Center Soonchunhyang University College of Medicine, Seoul, Korea.

Abstract

Background/aims: We aim to evaluate the differences in the microbiome of responders and non-responders, as well as predict the response to probiotic therapy, based on fecal microbiome data in patients with diarrhea-predominant irritable bowel syndrome (IBS-D).

Methods: A multi-strain probiotics that contains Lactobacillus acidophilus (KCTC 11906BP), Lactobacillus plantarum (KCTC11867BP), Lactobacillus rhamnosus (KCTC 11868BP), Bifidobacterium breve (KCTC 11858BP), Bifidobacterium lactis (KCTC 11903BP), Bifidobacterium longum (KCTC 11860BP), and Streptococcus thermophilus (KCTC 11870BP) were used. Patients were categorized into probiotic and placebo groups, and fecal samples were collected from all patients before and at the end of 8 weeks of treatment. The probiotic group was further divided into responders and non-responders. Responders were defined as patients who experienced adequate relief of overall irritable bowel syndrome symptoms after probiotic therapy. Fecal microbiota were investigated using Illumina MiSeq and analyzed using the EzBioCloud 16S database and microbiome pipeline (https://www.EZbiocloud.net).

Results: There was no significant difference in the alpha and beta diversity between the responder and non-responder groups. The abundances of the phylum Proteobacteria and genus Bacteroides significantly decreased after probiotic treatment. Bifidobacterium bifidum, Pediococcus acidilactici, and Enterococcus faecium showed a significantly higher abundance in the probiotic group after treatment compared to the placebo group. Enterococcus faecalis and Lactococcus lactis were identified as biomarkers of non-response to probiotics. The abundance of Fusicatenibacter saccharivorans significantly increased in the responders after treatment.

Conclusions: Probiotic treatment changes some composition of fecal bacteria in patients with IBS-D. E. faecalis and L. lactis may be prediction biomarkers for non-response to probiotics. Increased abundance of F. sccharivorans is correlated to symptom improvement by probiotics in patients with IBS-D.

Keywords: Biomarkers; Irritable bowel syndrome; Microbiota; Prediction; Probiotics.