Background: Association between glucose and inflammatory bowel disease (IBD) was found in previous observational studies and in cohort studies. However, it is not clear whether these associations reflect causality. Thus, this study investigated whether there is such a causal relation between elevated glucose and IBD, Crohn's disease (CD) and ulcerative colitis (UC).
Methods: We performed a two-sample Mendelian Randomization (MR) with the independent genetic instruments identified from the largest available genome-wide association study (GWAS) for IBD (5,673 cases; 213,119 controls) and its main subtypes, CD and UC. Summarized data for glucose which included 200,622 cases and glycemic traits including HbA1c and type 2 diabetes(T2DM) were obtained from different GWAS studies. Primary and secondary analyses were conducted by preferentially using the radial inverse-variance weighted (IVW) approach. A number of other meta-analysis approach and sensitivity analyses were carried out to assess the robustness of the results.
Results: We did not find a causal effect of genetically predicted glucose on IBD as a whole (OR 0.858; 95% CI 0.649-1.135; P = 0.286). In subtype analyses glucose was also suggestively not associated with Crohn's disease (OR 0.22; 95% CI 0.04-1.00; P = 0.05) and ulcerative colitis (OR 0.940; 95% CI 0.628-1.407; P = 0.762). In the other direction, IBD and its subtypes were not related to glucose and glycemic traits.
Conclusions: This MR study is not providing any evidence for a causal relationship between genetically predicted elevated glucose and IBD as well as it's subtypes UC and CD. Regarding the other direction, no causal associations could be found. Future studies with robust genetic instruments are needed to confirm this conclusion.
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http://dx.doi.org/10.1186/s12920-024-01923-6 | DOI Listing |
Gut Microbes
December 2024
Institute of Clinical Molecular Biology, Christian-Albrechts-University, and University Hospital Schleswig-Holstein, Kiel, Germany.
Throughout gestation, the female body undergoes a series of transformations, including profound alterations in intestinal microbial communities. Changes gradually increase toward the end of pregnancy and comprise reduced α-diversity of microbial communities and an increased propensity for energy harvest. Despite the importance of the intestinal microbiota for the pathophysiology of inflammatory bowel diseases, very little is known about the relationship between these microbiota shifts and pregnancy-associated complications of the disease.
View Article and Find Full Text PDFInt Immunopharmacol
January 2025
Department of Joint Bone Disease Surgery, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai 200433, China. Electronic address:
Ankylosing spondylitis (AS) is a motor system immune disease with significant genetic characteristics, resulting in joint fusion, deformity, rigidity, seriously affecting the quality of life of patients. Inflammatory bowel disease (IBD), characterized by intestinal mucosal damage and inflammatory changes, the most common extra-articular manifestation of AS. Due to the limitations of the application of therapeutic drugs, it is urgent to look for new mechanisms and strategies to effectively inhibit AS inflammation is.
View Article and Find Full Text PDFGene
January 2025
Department of Endocrinology and Metabolism, The Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, Jiangsu 212001, China. Electronic address:
Nutrients
September 2024
School of Clinical Medicine, St Vincent's Healthcare Campus, Faculty of Medicine & Health, University of New South Wales, Sydney 2010, Australia.
Diet has been linked to gut dysbiosis and the onset, course, and response to treatment of patients with IBD and metabolic disease. : This single-centre prospective case-control study investigated the relationship between dietary intake, metabolic profile, and stool microbial composition in 57 individuals with IBD in clinical remission and 24 healthy individuals (HC). Participants' baseline anthropometric measurements, serum metabolic parameters, lipid profiles, and oral and stool samples for microbiota testing were collected.
View Article and Find Full Text PDFBMJ Open
September 2024
Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
Objectives: To validate and test the generalisability of the SASKit-ML pipeline, a prepublished feature selection and machine learning pipeline for the prediction of health deterioration after a stroke or pancreatic adenocarcinoma event, by using it to identify biomarkers of health deterioration in chronic disease.
Design: This is a validation study using a predefined protocol applied to multiple publicly available datasets, including longitudinal data from cohorts with type 2 diabetes (T2D), inflammatory bowel disease (IBD), rheumatoid arthritis (RA) and various cancers. The datasets were chosen to mimic as closely as possible the SASKit cohort, a prospective, longitudinal cohort study.
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