Evidence map›Paper›PMID 38831441›Full record

ArticleArthritis research & therapy2024

Single-cell and genome-wide Mendelian randomization identifies causative genes for gout.

Yubiao Yang, Ping Hu, Qinnan Zhang, Boyuan Ma, Jinyu Chen, Bitao Wang, Jun Ma, Derong Liu, Jian Hao, Xianhu Zhou

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Uric acid and subclinical atherosclerosis: distinct associations across coronary and carotid arteries.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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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

10 authors.

Yubiao YangDepartment of Orthopedic, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Ping HuDepartment of Orthopedic, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Qinnan ZhangDepartment of Clinical Medicine, Fudan University, Shanghai, China.
Boyuan MaThe Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China.
Jinyu ChenThe Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China.
Bitao WangMedical School Of Ningbo University, Ningbo, China.
Jun MaDepartment of Orthopedic, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Derong LiuDepartment of Orthopedic, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Jian HaoThe Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China. haojian@gzhmu.edu.cn.
Xianhu ZhouThe Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China. zhouxianhu@gzhmu.edu.cn.

Funding

National Natural Science Foundation of China 81371957
6 · The paper itself

Abstract

backgroundGout is a prevalent manifestation of metabolic osteoarthritis induced by elevated blood uric acid levels. The purpose of this study was to investigate the mechanisms of gene expression regulation in gout disease and elucidate its pathogenesis.

methodsThe study integrated gout genome-wide association study (GWAS) data, single-cell transcriptomics (scRNA-seq), expression quantitative trait loci (eQTL), and methylation quantitative trait loci (mQTL) data for analysis, and utilized two-sample Mendelian randomization study to comprehend the causal relationship between proteins and gout.

resultsWe identified 17 association signals for gout at unique genetic loci, including four genes related by protein-protein interaction network (PPI) analysis: TRIM46, THBS3, MTX1, and KRTCAP2. Additionally, we discerned 22 methylation sites in relation to gout. The study also found that genes such as TRIM46, MAP3K11, KRTCAP2, and TM7SF2 could potentially elevate the risk of gout. Through a Mendelian randomization (MR) analysis, we identified three proteins causally associated with gout: ADH1B, BMP1, and HIST1H3A.

conclusionAccording to our findings, gout is linked with the expression and function of particular genes and proteins. These genes and proteins have the potential to function as novel diagnostic and therapeutic targets for gout. These discoveries shed new light on the pathological mechanisms of gout and clear the way for future research on this condition.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyGoutMendelian Randomization AnalysisQuantitative Trait LociSingle-Cell AnalysisAlcohol DehydrogenaseDNA MethylationHumansPolymorphism, Single NucleotideProtein Interaction MapsADH1B protein, humanAlcohol DehydrogenaseGoutGWASMendelian randomizationscRNA-seqSummary-data-based Mendelian randomization

Identifiers

PMID38831441
PMCPMC11145851

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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.