Evidence map›Paper›PMID 39467906›Full record

ArticleClinical rheumatology2024

Exploring genetic links between blood metabolites and gout susceptibility.

Wenxing Zeng, Minhua Hu, Lin Zhou, Dejun Cun, Luyao Ma, Jingtao Zhang, Feng Huang, Ziwei Jiang

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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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

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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

3 citing papers in PubMed.

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4 · The record

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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

8 authors.

Wenxing Zeng *Guangzhou University of Chinese Medicine, Guangzhou, China.
Minhua Hu *Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Traditional Chinese Medicine, Zhongshan, China.
Lin ZhouGuangzhou University of Chinese Medicine, Guangzhou, China.
Dejun CunGuangzhou University of Chinese Medicine, Guangzhou, China.
Luyao MaGuangzhou University of Chinese Medicine, Guangzhou, China.
Jingtao ZhangGuangzhou University of Chinese Medicine, Guangzhou, China.
Feng HuangGuangzhou University of Chinese Medicine, Guangzhou, China.
Ziwei JiangGuangzhou University of Chinese Medicine, Guangzhou, China. jiangziwei1686@gzucm.edu.cn.ORCID http://orcid.org/0000-0003-3523-6761

Funding

Guangzhou University of Chinese Medicine Guangzhou University of Chinese Medicine "Double First-class"Guangzhou University of Chinese Medicine High-level University Subject Reserve Talent Cultivation Program
6 · The paper itself

Abstract

backgroundGout, a prevalent form of inflammatory arthritis, has a complex etiology where the causal relationship between metabolites and the disease remains underexplored. This study aims to elucidate the impact of genetically determined blood metabolites on gout.

methodsEmploying a two-sample bidirectional Mendelian randomization analysis, we examined the association between 1400 blood metabolites and gout. Causal associations were determined using the inverse variance weighted (IVW) method with false discovery rate (FDR) correction. Sensitivity analyses encompassed weighted models, MR-Egger, weighted median, and MR-PRESSO approaches. MR-pleiotropy and Cochran's Q statistic were utilized to evaluate potential heterogeneity and pleiotropy. Additionally, metabolic pathway analyses were conducted to pinpoint relevant pathways.

resultsOf the initial 4 serum metabolites identified, 3 known metabolites-hexanoylglutamine levels, mannose content, and the phosphate to mannose ratio-were found to be causally associated with gout, along with 55 serum metabolites identified as potential predictors of gout (PIVW < 0.05). Furthermore, we discovered 3 metabolic pathways implicated in gouty attacks.

conclusionOur findings, derived from Mendelian randomization, indicate that the identified metabolites and pathways may serve as biomarkers for clinical screening and prevention of gout. Additionally, they offer novel insights into the mechanisms of the disease and potential drug targets. Key points • Conducted a comprehensive Mendelian randomization study involving 1400 blood metabolites to explore their genetic impact on gout development and progression • Identified three key metabolites-hexanoylglutamine, mannose, and the phosphate-to-mannose ratio-with causal associations to gout, highlighting their potential use as biomarkers for early detection and risk stratification • Discovered 55 additional serum metabolites as potential predictors of gout, offering new insights into the pathophysiology of the disease and identifying high-risk individuals • Revealed three novel metabolic pathways involved in gout attacks, providing new therapeutic targets for precision medicine in gout treatment.

Indexed as

BiomarkersGenetic Predisposition to DiseaseGoutMendelian Randomization AnalysisHumansMannoseBiomarkersMannoseBidirectionalCausalityGoutMendelian randomizationSerum metabolites

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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 Socratic graph.