Intestinal microbiota fingerprint in subjects with irritable bowel syndrome responders to a low FODMAP diet

• Published in: Food & function Vol. 12; no. 7; pp. 326 - 3218
• Main Authors: Valdez-Palomares, Fernanda, Nambo-Venegas, Rafael, Uribe-García, Jacqueline, Mendoza-Vargas, Alfredo, Granados-Portillo, Omar, Meraz-Cruz, Noemí, Palacios-González, Berenice
• Format: Journal Article
• Language: English
• Published: England Royal Society of Chemistry 07.04.2021
• Subjects: Abundance; Biomarkers; Classification; Diet; Disaccharides; Discriminant analysis; Intestinal microflora; Intestine; Irritable bowel syndrome; Microbiota; Microorganisms; Model accuracy; Monosaccharides; Nutrient deficiency; Oligosaccharides; Pain; Polyols; rRNA 16S
• ISSN: 2042-6496; 2042-650X
• DOI: 10.1039/d0fo03162c

Irritable Bowel Syndrome (IBS) is a functional gastrointestinal disorder characterized by abdominal pain and altered bowel habit. IBS patients report that FODMAP (Fermentable Oligosaccharides, Disaccharides, Monosaccharides, and Polyols) diet induce or exacerbate their symptoms. It has been reported that low-FODMAP diet (LFD) improves the symptoms in 50%-80% of IBS patients. We aimed to identify IBS responders and non-responders' patients to LFD by determining baseline fecal microbial composition, sequencing the 16S rRNA gene V3-V4 region. Thirty-two participants with IBS were included, 29 women (90.62%) and three men (9.37%), and instructed to follow a four-week LFD, Visual Analogue Scale for IBS was used to assess intervention response. Twenty-two participants were responders (68.75%), and ten were non-responders (31.25%). Differential abundance analysis of Amplicon Sequence Variant (ASVs), before LFD, identified Prevotella 9 and Veillonella genus in responder group, and Barnesiella , Paraprevotella , Bifidobacterium and Ruminococcus 1 genus in non-responder group. After LFD, differentially abundant ASVs were only identified in R, belonging to Veilonella , Butyrivibrio , and 5 ASVs belonging to Ruminiclostridium 6 genus. Linear Discriminant Analysis (LDA), was used to classify patients by responsiveness, considering baseline abundance of 5 bacterial genera, LDA accuracy model was 96.87%, correctly classifying 95.45% of in responder group and 100% and non-responder group. In conclusion, bacterial biomarkers are useful to classify IBS individuals by responsiveness to LFD. Differential abundance analysis of ASVs between R and NR were identified, potentially implicated in dietary responsiveness. Bacterial biomarkers are useful to classify IBS individuals by responsiveness to low FODMAP diet.