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A Multicenter Randomized Controlled Trial of Microbiome-Based Artificial Intelligence-Assisted Personalized Diet vs Low-Fermentable Oligosaccharides, Disaccharides, Monosaccharides, and Polyols Diet: A Novel Approach for the Management of Irritable Bowel Syndrome.
Tunali, Varol; Arslan, Naciye Çigdem; Ermis, Beyza Hilal; Dervis Hakim, Gözde; Gündogdu, Aycan; Hora, Mehmet; Nalbantoglu, Özkan Ufuk.
Afiliação
  • Tunali V; Department of Parasitology, Faculty of Medicine, Manisa Celal Bayar University, Manisa, Turkey.
  • Arslan NÇ; Department of Gastrointestinal Surgery, Medipol Bahçelievler Hospital, Istanbul, Turkey.
  • Ermis BH; Faculty of Nutrition and Dietetics, Adnan Menderes University, Aydin, Turkey.
  • Dervis Hakim G; Department of Gastroenterology, Tepecik Education and Research Hospital, Izmir, Turkey.
  • Gündogdu A; Department of Microbiology and Clinical Microbiology, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
  • Hora M; Bioinformatics Division, Genome and Stem Cell Center, Erciyes University, Kayseri, Turkey.
  • Nalbantoglu ÖU; Bioinformatics Division, Genome and Stem Cell Center, Erciyes University, Kayseri, Turkey.
Am J Gastroenterol ; 2024 May 08.
Article em En | MEDLINE | ID: mdl-38717025
ABSTRACT

INTRODUCTION:

Personalized management strategies are pivotal in addressing irritable bowel syndrome (IBS). This multicenter randomized controlled trial focuses on comparing the efficacy of a microbiome-based artificial intelligence-assisted personalized diet (PD) with a low-fermentable oligosaccharides, disaccharides, monosaccharides, and polyols diet (FODMAP) for IBS management.

METHODS:

One hundred twenty-one patients participated, with 70 assigned to the PD group and 51 to the FODMAP diet group. IBS subtypes, demographics, symptom severity (IBS-SSS), anxiety, depression, and quality of life (IBS-QOL) were evaluated. Both interventions spanned 6 weeks. The trial's primary outcome was the within-individual difference in IBS-SSS compared between intervention groups.

RESULTS:

For the primary outcome, there was a change in IBS-SSS of -112.7 for those in the PD group vs -99.9 for those in the FODMAP diet group ( P = 0.29). Significant improvement occurred in IBS-SSS scores ( P < 0.001), frequency ( P < 0.001), abdominal distension ( P < 0.001), and life interference ( P < 0.001) in both groups. In addition, there were significant improvements in anxiety levels and IBS-QOL scores for both groups ( P < 0.001). Importantly, PD was effective in reducing IBS SSS scores across all IBS subtypes IBS-Constipation (IBS-C; P < 0.001), IBS-Diarrhea (IBS-D; P = 0.01), and IBS-Mixed (IBS-M; P < 0.001) while FODMAP diet exhibited comparable improvements in IBS-C ( P = 0.004) and IBS-M ( P < 0.001). PD intervention significantly improved IBS-QOL scores for all subtypes (IBS-C [ P < 0.001], IBS-D [ P < 0.001], and IBS-M [ P = 0.008]) while the FODMAP diet did so for the IBS-C ( P = 0.004) and IBS-D ( P = 0.022). Notably, PD intervention led to significant microbiome diversity shifts ( P < 0.05) and taxa alterations compared with FODMAP diet.

DISCUSSION:

The artificial intelligence-assisted PD emerges as a promising approach for comprehensive IBS management. With its ability to address individual variation, the PD approach demonstrates significant symptom relief, enhanced QOL, and notable diversity shifts in the gut microbiome, making it a valuable strategy in the evolving landscape of IBS care.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Am J Gastroenterol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Turquia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Am J Gastroenterol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Turquia