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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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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 |
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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 |
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