Background & Aims: Altered fecal microbiota have been reported in irritable bowel syndrome (IBS), although studies vary, which could be owing to dietary effects. Many IBS patients may eliminate certain foods because of their symptoms, which in turn may alter fecal microbiota diversity and composition. This study aimed to determine if dietary patterns were associated with IBS, symptoms, and fecal microbiota differences reported in IBS.
Methods: A total of 346 IBS participants and 170 healthy controls (HCs) completed a Diet Checklist reflecting the diet(s) consumed most frequently. An exclusion diet was defined as a diet that eliminated food components by choice. Within this group, a gluten-free, dairy-free, or low fermentable oligosaccharides, disaccharides, monosaccharides, and polyols diet was further defined as restrictive because they often are implicated in reducing symptoms. Stool samples were obtained from 171 IBS patients and 98 HCs for 16S ribosomal RNA gene sequencing and microbial composition analysis.
Results: Having IBS symptoms was associated with consuming a restrictive diet (27.17% of IBS patients vs 7.65% of HCs; odds ratio, 3.25; 95% CI, 1.66-6.75; P value = .006). IBS participants on an exclusion or restrictive diet reported more severe IBS symptoms (P = .042 and .029, respectively). The composition of the microbiota in IBS patients varied depending on the diet consumed. IBS participants on an exclusion diet had a greater abundance of Lachnospira and a lower abundance of Eubacterium (q value, <.05), and those on a restrictive diet had a lower abundance of Lactobacillus (q value, <.05).
Conclusions: Restrictive diets likely are consumed more by IBS patients than HCs to reduce GI symptom severity. Dietary patterns influence the composition of the fecal microbiota and may explain some of the differences between IBS and HCs.
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http://dx.doi.org/10.1016/j.cgh.2021.05.027 | DOI Listing |
ACS Nano
January 2025
Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea.
Tumor-derived extracellular vesicle (tEV)-associated RNAs hold promise as diagnostic biomarkers, but their clinical use is hindered by the rarity of tEVs among nontumor EVs. Here, we present EV-CLIP, a highly sensitive droplet-based digital method for profiling EV RNA. EV-CLIP utilizes the fusion of EVs with charged liposomes (CLIPs) in a microfluidic chip.
View Article and Find Full Text PDFJ Family Med Prim Care
December 2024
Department of HIV and Blood Borne Viruses, Milton Keynes University Hospital, NHS Foundation Trust, Milton Keynes, UK.
We report a case of a 49-year-old female with a history of HIV infection for 12 years. The patient had excellent compliance with antiretroviral medications, raltegravir 400 mg twice daily and truvada once daily for HIV. Over the years, she maintained an undetectable viral load with a CD4+ count >200 cells/μL.
View Article and Find Full Text PDFNeurogastroenterol Motil
January 2025
Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Background: The human colon receives 2 L of fluid daily. Small changes in the efficacy of absorption can lead to altered stool consistency with diarrhea or constipation. Drugs and formulations can also alter colonic water, which can be assessed using the magnetic resonance imaging (MRI) longitudinal relaxation time constant, T1.
View Article and Find Full Text PDFBMC Gastroenterol
January 2025
Department of Gastroenterology, Pomeranian Medical University in Szczecin, Unii Lubelskiej 1, Szczecin, 71-254, Poland.
Background: Functional gastrointestinal disorders (FGIDs), now known as disorders of gut-brain interaction (DGBIs), such as Irritable Bowel Syndrome (IBS) and Functional Dyspepsia (FD), significantly impact global health, reducing quality of life and burdening healthcare systems. This study addresses the epidemiological gap in Poland, focusing on the West Pomeranian Voivodeship.
Methods: We conducted a cross-sectional study of 2070 Caucasian patients (58.
J Headache Pain
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.
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