Effect of Artificial Intelligence-assisted Personalized Microbiome Modulation by Diet in Functional Constipation: a Randomized Controlled Trial
Effect of Artificial Intelligence-assisted Personalized Microbiome Modulation by Diet in Functional Constipation: a Randomized Controlled Trial
Current medications and behavioral modifications have limited success in the treatment of functional constipation (FC). An individualized diet based on microbiome analysis may improve symptoms in FC. In the present study, we aimed to investigate the impacts of microbiome modulation on chronic constipation. patients fulfilling Rome IV criteria for functional constipation were randomized into two groups. The Control group received sodium picosulfate plus conventional treatments (i.e., laxatives, enemas, increased fiber, and fluid intake). The study group underwent microbiome analysis and received an individualized diet with the assistance of a soft computing system (Enbiosis Biotechnology®, Sariyer, Istanbul). Differences in Patient Assessment Constipation-Quality of Life (PAC-QoL) score and complete bowel movements per week (CBMpW) were compared between groups after 6 week-intervention.
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