Evidence map›Paper›PMID 36865531›Full record

ArticleFrontiers in immunology2023

A cause-effect relationship between Graves' disease and the gut microbiome contributes to the thyroid-gut axis: A bidirectional two-sample Mendelian randomization study.

Jiamin Cao, Nuo Wang, Yong Luo, Chen Ma, Zhuokun Chen, Changci Chenzhao, Feng Zhang, Xin Qi, Wei Xiong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
9.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  19. Genetic support for the causal association between 91 circulating inflammatory proteins and atopic dermatitis: A two-sample Mendelian randomization trial.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jiamin CaoDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, Hunan, China.
Nuo WangDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, Hunan, China.
Yong LuoDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, Hunan, China.
Chen MaDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, Hunan, China.
Zhuokun ChenDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, Hunan, China.
Changci ChenzhaoDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, Hunan, China.
Feng ZhangDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, Hunan, China.
Xin QiDepartment of Ophthalmology, The Second Xiangya Hospital, Central South University, Hunan, China.
Wei XiongDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, Hunan, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An association between Graves' disease (GD) and the gut microbiome has been identified, but the causal effect between them remains unclear. Methods: Bidirectional two-sample Mendelian randomization (MR) analysis was used to detect the causal effect between GD and the gut microbiome. Gut microbiome data were derived from samples from a range of different ethnicities (18,340 samples) and data on GD were obtained from samples of Asian ethnicity (212,453 samples). Single nucleotide polymorphisms (SNPs) were selected as instrumental variables according to different criteria. They were used to evaluate the causal effect between exposures and outcomes through inverse-variance weighting (IVW), weighted median, weighted mode, MR-Egger, and simple mode methods. Results: In total, 1,560 instrumental variables were extracted from the gut microbiome data ( Conclusion: A causal effect relationship exists between GD and the gut microbiome, demonstrating regulatory activity and interactions, and thus providing evidence supporting the involvement of a thyroid-gut axis.

Indexed as

Gastrointestinal MicrobiomeGraves DiseaseLactobacillalesEubacterialesHumansMendelian Randomization AnalysisReproducibility of Resultscausal effectGraves’ diseasegut microbiomeMendelian randomizationthyroid–gut-axis

Identifiers

PMID36865531
PMCPMC9974146
OpenAlexW4320713310

What OpenQuestion holds

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Registered trials

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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.