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ArticleClinical rheumatology2024

Gut microbiota and risk of ankylosing spondylitis.

Xiaofang Jiang, Manli Wang, Bin Liu, Hong Yang, Jiadong Ren, Shuhui Chen, Ding Ye, Shaoxue Yang, Yingying Mao

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Article in Clinical rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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.

Xiaofang Jiang *Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Manli Wang *Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Bin LiuDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Hong YangDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Jiadong RenDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Shuhui ChenDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Ding YeDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Shaoxue YangZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. ysxwlgz@126.com.
Yingying MaoDepartment of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China. myy@zcmu.edu.cn.ORCID http://orcid.org/0000-0003-3644-9160

Funding

National Natural Science Foundation of China 81973663National Natural Science Foundation of China 82174208Natural Science Foundation of Zhejiang Province LY22H260005Zhejiang Province Traditional Chinese Medical Science and Technology Plan 2023ZL286
6 · The paper itself

Abstract

objectiveObservational studies have established a connection between gut microbiota and ankylosing spondylitis (AS) risk; however, whether the observed associations are causal remains unclear. Therefore, we conducted a two-sample Mendelian randomization (MR) analysis to assess the potential causal associations of gut microbiota with AS risk.

methodsInstrumental variants of gut microbiota were obtained from the MiBioGen consortium (n = 18,340) and the Dutch Microbiome Project (n = 7738). The FinnGen consortium provided genetic association summary statistics for AS, encompassing 2860 cases and 270,964 controls. We used the inverse-variance weighted (IVW) method as the primary analysis, supplemented with the weighted median method, maximum likelihood-based method, MR pleiotropy residual sum and outlier test, and MR-Egger regression. In addition, we conducted a reverse MR analysis to assess the likelihood of reverse causality.

resultsAfter the Bonferroni correction, species Bacteroides vulgatus remained statistically significantly associated with AS risk (odds ratio (OR) 1.55, 95% confidence interval (CI) 1.22-1.95, P = 2.55 × 10

conclusionOur results revealed the associations of several gut bacterial traits with AS risk, suggesting a potential causal role of gut microbiota in AS development. Nevertheless, additional research is required to clarify the mechanisms by which these bacteria influence AS risk. Key Points • The association of gut microbiota with AS risk in observational studies is unclear. • This MR analysis revealed associations of 12 gut bacterial traits with AS risk.

Indexed as

Gastrointestinal MicrobiomeMendelian Randomization AnalysisSpondylitis, AnkylosingBacteroidesHumansRisk FactorsAnkylosing spondylitisGut microbiotaInstrumental variablesMendelian randomizationSingle nucleotide polymorphisms

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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.