Efficacy of AI-assisted personalized microbiome modulation by diet in functional constipation: A randomized controlled trial

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dc.authorid0000-0002-2282-7207
dc.authorid0000-0002-6292-890X
dc.contributor.authorArslan, Naciye Çiğdem
dc.contributor.authorGündoğdu, Aycan
dc.contributor.authorTunalı, Varol
dc.contributor.authorTopgül, Oğuzhan Hakan
dc.contributor.authorBeyazgül, Damla
dc.contributor.authorNalbantoğlu, Özkan Ufuk
dc.date.accessioned2022-12-09T11:54:00Z
dc.date.available2022-12-09T11:54:00Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü, Genel Cerrahi Ana Bilim Dalı
dc.description.abstractBackground: Currently, 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. Methods: Between December 2020–December 2021, 50 patients fulfilling the 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) scores and complete bowel movements per week (CBMpW) were compared between groups after 6-weeks of intervention. Results: The mean age of the overall cohort (n = 45) was 31.5 ± 10.2 years, with 88.9% female predominance. The customized diet developed for subjects in the study arm resulted in a 2.5-fold increase in CBMpW after 6-weeks (1.7 vs. 4.3). The proportion of the study group patients with CBMpW > 3 was 83% at the end of the study, and the satisfaction score was increased 4-fold from the baseline (3.1 to 10.7 points). More than 50% improvement in PAC-QoL scores was observed in 88% of the study cohort compared to 40% in the control group (p = 0.001). Conclusion: The AI-assisted customized diet based on individual microbiome analysis performed significantly better compared to conventional therapy based on patient-reported outcomes in the treatment of functional constipation.
dc.identifier.citationArslan, N. Ç., Gündoğdu, A., Tunalı, V., Topgül, O. H., Beyazgül, D. ve Nalbantoğlu, Ö. U. (2022). Efficacy of AI-assisted personalized microbiome modulation by diet in functional constipation: A randomized controlled trial. Journal of Clinical Medicine, 11(22). https://doi.org/10.3390/jcm11226612
dc.identifier.doi10.3390/jcm11226612
dc.identifier.issn2077-0383
dc.identifier.issue22
dc.identifier.pmid36431088
dc.identifier.scopus2-s2.0-85142643806
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/jcm11226612
dc.identifier.urihttps://hdl.handle.net/20.500.12511/10105
dc.identifier.volume11
dc.identifier.wos000887479600001en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorArslan, Naciye Çiğdem
dc.institutionauthorTopgül, Oğuzhan Hakan
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofJournal of Clinical Medicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectFunctional Bowel Disorders
dc.subjectGut Microbiota
dc.subjectPersonalized Diet
dc.subjectMachine Learning
dc.subjectPersonalized Medicine
dc.subjectTurkey
dc.titleEfficacy of AI-assisted personalized microbiome modulation by diet in functional constipation: A randomized controlled trial
dc.typeArticle

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