- 2024-12-31
- Nutrients 17(1)
- Xuangao Wu
- Hee-Jong Yang
- Myeong-Seon Ryu
- Su-Jin Jung
- Kwangsu Ha
- Do-Yeon Jeong
- Sunmin Park
Study Design
- Type
- Randomized Controlled Trial (RCT)
- Sample size
- n = 94
- Population
- 94 participants with subjective constipation
- Methods
- secondary analysis of data from our randomized clinical trial; measurements of gut microbiota composition via 16S rRNA sequencing, CTT, and dietary intake; enterotype analysis, machine learning approaches, and metabolic modeling
Background
The relationship between gut microbiota composition, lifestyles, and colonic transit time (CTT) remains poorly understood. This study investigated associations among gut microbiota profiles, diet, lifestyles, and CTT in individuals with subjective constipation.Methods
We conducted a secondary analysis of data from our randomized clinical trial, examining gut microbiota composition, CTT, and dietary intake in baseline and final assessments of 94 participants with subjective constipation. Participants were categorized into normal-transit (<36 h) and slow-transit (≥36 h) groups based on CTT at baseline. Gut microbiota composition was measured using 16S rRNA sequencing, and dietary patterns were assessed through semi-quantitative food frequency questionnaires. Enterotype analysis, machine learning approaches, and metabolic modeling were employed to investigate microbiota-diet interactions. The constipated participants primarily belonged to Lachnospiraceae (ET-L).Results
The slow-transit group showed higher alpha diversity than the normal-transit group. Butyricicoccus faecihominis was abundant in the normal-transit group, while Neglectibacter timonensis, Intestinimonas massiliensis, and Intestinibacter bartlettii were abundant in the slow-transit group, which also had a higher abundance of mucin-degrading bacteria. Metabolic modeling predicted increased N-acetyl-D-glucosamine (GlcNAc), a mucin-derived metabolite, in the slow-transit group. Network analysis identified two microbial co-abundance groups (CAG3 and CAG9) significantly associated with transit time and dietary patterns. Six mucin-degrading species showed differential correlations with GlcNAc and a plant-based diet, particularly, including rice, bread, fruits and vegetables, and fermented beans. In conclusion, an increased abundance of mucin-degrading bacteria and their predicted metabolic products were associated with delayed CTT.Conclusion
These findings suggest dietary modulation of these bacterial populations as a potential therapeutic strategy for constipation. Moreover, our results reveal a potential immunometabolic mechanism where mucin-degrading bacteria and their metabolic interactions may influence intestinal transit, mucosal barrier function, and immune response.