ArticleFrontiers in cellular and infection microbiology2024
Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Autoimmune thyroid disease and human health: a systematic review of Mendelian randomization studies.Frontiers in immunology · 2025Pooled it
- Gut microbiome alterations in immune thrombocytopenia: a systematic review of current evidence.Frontiers in medicine · 2025Pooled it
- Anti-Inflammatory Effects ofFood science & nutrition · 2026Article
- The gut microbiota in Graves' disease: mechanistic insights and clinical implications.Frontiers in cellular and infection microbiology · 2026Review
- Article
- Regulatory T-Cells During Pregnancy Relate to Women's Own Childhood History of Microbial Exposure.American journal of human biology : the official journal of the Human Biology Council · 2025Article
- Can gut microbiota explain acute diverticulitis occurrence in patients with symptomatic uncomplicated diverticular disease?Bioscience of microbiota, food and health · 2025Article
- Effects of NatureKnit™ organic, a blend of organic fruit and vegetable fibers rich in naturally occurring bound polyphenols, on the metabolic activity and community composition of the human gut microbiome using the M-SHIMEFrontiers in nutrition · 2025Article
- mbDriver: identifying driver microbes in microbial communities based on time-series microbiome data.Briefings in bioinformatics · 2024Article
- Application of Mendelian randomization in thyroid diseases: a review.Frontiers in endocrinology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Graves' disease (GD) is the most common cause of hyperthyroidism, and its pathogenesis remains incompletely elucidated. Numerous studies have implicated the gut microbiota in the development of thyroid disorders. This study employs Mendelian randomization analysis to investigate the characteristics of gut microbiota in GD patients, aiming to offer novel insights into the etiology and treatment of Graves' disease. Methods: Two-sample Mendelian randomization (MR) analysis was employed to assess the causal relationship between Graves' disease and the gut microbiota composition. Gut microbiota data were sourced from the international consortium MiBioGen, while Graves' disease data were obtained from FINNGEN. Eligible single nucleotide polymorphisms (SNPs) were selected as instrumental variables. Multiple analysis methods, including inverse variance-weighted (IVW), MR-Egger regression, weighted median, weighted mode, and MR-RAPS, were utilized. Sensitivity analyses were conducted employing MR-Egger intercept test, Cochran's Q test, and leave-one-out analysis as quality control measures. Results: The Mendelian randomization study conducted in a European population revealed a decreased risk of Graves' disease associated with Conclusion: A causal relationship exists between gut microbiota and Graves' disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.