Cargando…

Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome

We enrolled consecutive IBS-M patients (n = 25) according to Rome IV criteria. Fecal samples were obtained from all patients twice (pre-and post-intervention) and high-throughput 16S rRNA sequencing was performed. Six weeks of personalized nutrition diet (n = 14) for group 1 and a standard IBS diet...

Descripción completa

Detalles Bibliográficos
Autores principales: Karakan, Tarkan, Gundogdu, Aycan, Alagözlü, Hakan, Ekmen, Nergiz, Ozgul, Seckin, Tunali, Varol, Hora, Mehmet, Beyazgul, Damla, Nalbantoglu, O. Ufuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629088/
https://www.ncbi.nlm.nih.gov/pubmed/36318623
http://dx.doi.org/10.1080/19490976.2022.2138672
_version_ 1784823329040891904
author Karakan, Tarkan
Gundogdu, Aycan
Alagözlü, Hakan
Ekmen, Nergiz
Ozgul, Seckin
Tunali, Varol
Hora, Mehmet
Beyazgul, Damla
Nalbantoglu, O. Ufuk
author_facet Karakan, Tarkan
Gundogdu, Aycan
Alagözlü, Hakan
Ekmen, Nergiz
Ozgul, Seckin
Tunali, Varol
Hora, Mehmet
Beyazgul, Damla
Nalbantoglu, O. Ufuk
author_sort Karakan, Tarkan
collection PubMed
description We enrolled consecutive IBS-M patients (n = 25) according to Rome IV criteria. Fecal samples were obtained from all patients twice (pre-and post-intervention) and high-throughput 16S rRNA sequencing was performed. Six weeks of personalized nutrition diet (n = 14) for group 1 and a standard IBS diet (n = 11) for group 2 were followed. AI-based diet was designed based on optimizing a personalized nutritional strategy by an algorithm regarding individual gut microbiome features. The IBS-SSS evaluation for pre- and post-intervention exhibited significant improvement (p < .02 and p < .001 for the standard IBS diet and personalized nutrition groups, respectively). While the IBS-SSS evaluation changed to moderate from severe in 78% (11 out of 14) of the personalized nutrition group, no such change was observed in the standard IBS diet group. A statistically significant increase in the Faecalibacterium genus was observed in the personalized nutrition group (p = .04). Bacteroides and putatively probiotic genus Propionibacterium were increased in the personalized nutrition group. The change (delta) values in IBS-SSS scores (before-after) in personalized nutrition and standard IBS diet groups are significantly higher in the personalized nutrition group. AI-based personalized microbiome modulation through diet significantly improves IBS-related symptoms in patients with IBS-M. Further large-scale, randomized placebo-controlled trials with long-term follow-up (durability) are needed.
format Online
Article
Text
id pubmed-9629088
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-96290882022-11-03 Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome Karakan, Tarkan Gundogdu, Aycan Alagözlü, Hakan Ekmen, Nergiz Ozgul, Seckin Tunali, Varol Hora, Mehmet Beyazgul, Damla Nalbantoglu, O. Ufuk Gut Microbes Research Paper We enrolled consecutive IBS-M patients (n = 25) according to Rome IV criteria. Fecal samples were obtained from all patients twice (pre-and post-intervention) and high-throughput 16S rRNA sequencing was performed. Six weeks of personalized nutrition diet (n = 14) for group 1 and a standard IBS diet (n = 11) for group 2 were followed. AI-based diet was designed based on optimizing a personalized nutritional strategy by an algorithm regarding individual gut microbiome features. The IBS-SSS evaluation for pre- and post-intervention exhibited significant improvement (p < .02 and p < .001 for the standard IBS diet and personalized nutrition groups, respectively). While the IBS-SSS evaluation changed to moderate from severe in 78% (11 out of 14) of the personalized nutrition group, no such change was observed in the standard IBS diet group. A statistically significant increase in the Faecalibacterium genus was observed in the personalized nutrition group (p = .04). Bacteroides and putatively probiotic genus Propionibacterium were increased in the personalized nutrition group. The change (delta) values in IBS-SSS scores (before-after) in personalized nutrition and standard IBS diet groups are significantly higher in the personalized nutrition group. AI-based personalized microbiome modulation through diet significantly improves IBS-related symptoms in patients with IBS-M. Further large-scale, randomized placebo-controlled trials with long-term follow-up (durability) are needed. Taylor & Francis 2022-11-01 /pmc/articles/PMC9629088/ /pubmed/36318623 http://dx.doi.org/10.1080/19490976.2022.2138672 Text en © 2022 ENBIOSIS Biotechnologies Limited. Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Karakan, Tarkan
Gundogdu, Aycan
Alagözlü, Hakan
Ekmen, Nergiz
Ozgul, Seckin
Tunali, Varol
Hora, Mehmet
Beyazgul, Damla
Nalbantoglu, O. Ufuk
Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome
title Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome
title_full Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome
title_fullStr Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome
title_full_unstemmed Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome
title_short Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome
title_sort artificial intelligence-based personalized diet: a pilot clinical study for irritable bowel syndrome
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629088/
https://www.ncbi.nlm.nih.gov/pubmed/36318623
http://dx.doi.org/10.1080/19490976.2022.2138672
work_keys_str_mv AT karakantarkan artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome
AT gundogduaycan artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome
AT alagozluhakan artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome
AT ekmennergiz artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome
AT ozgulseckin artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome
AT tunalivarol artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome
AT horamehmet artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome
AT beyazguldamla artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome
AT nalbantogluoufuk artificialintelligencebasedpersonalizeddietapilotclinicalstudyforirritablebowelsyndrome