Evidence map›Paper›PMID 37697373›Full record

ArticleJournal of translational medicine2023

Identification of potential drug targets for rheumatoid arthritis from genetic insights: a Mendelian randomization study.

Yu Cao, Ying Yang, Qingfeng Hu, Guojun Wei

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
33.1field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Yu Cao *Department of Orthopedics, The Fourth Affiliated Hospital, School of Medicine, Zhejiang University, No. N1, Shangcheng Avenue, Yiwu City, Zhejiang Province, China.
Ying Yang *Xiang'an Hospital of Xiamen University, Xiamen, China.
Qingfeng HuDepartment of Orthopedics, The Fourth Affiliated Hospital, School of Medicine, Zhejiang University, No. N1, Shangcheng Avenue, Yiwu City, Zhejiang Province, China. huqingfeng@zju.edu.cn.
Guojun WeiDepartment of Orthopedics, The Fourth Affiliated Hospital, School of Medicine, Zhejiang University, No. N1, Shangcheng Avenue, Yiwu City, Zhejiang Province, China. 271376009@qq.com.
Xiamen University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRheumatoid arthritis (RA) is a chronic inflammatory illness that mostly affects the joints of the hands and feet and can reduce life expectancy by an average of 3 to 10 years. Although tremendous progress has been achieved in the treatment of RA, a large minority of patients continue to respond poorly to existing medications, owing in part to a lack of appropriate therapeutic targets.

methodsTo find therapeutic targets for RA, a Mendelian randomization (MR) was performed. Cis-expression quantitative trait loci (cis-eQTL, exposure) data were obtained from the eQTLGen Consortium (sample size 31,684). Summary statistics for RA (outcome) were obtained from two largest independent cohorts: sample sizes of 97,173 (22,350 cases and 74,823 controls) and 269,377 (8279 cases and 261,098), respectively. Colocalisation analysis was used to test whether RA risk and gene expression were driven by common SNPs. Drug prediction and molecular docking was further used to validate the medicinal value of drug targets.

resultsSeven drug targets were significant in both cohorts in MR analysis and supported by localization. PheWAS at the gene level showed only ATP2A1 associated with other traits. These genes are strongly associated with immune function in terms of biological significance. Molecular docking showed excellent binding for drugs and proteins with available structural data.

conclusionThis study identifies seven potential drug targets for RA. Drugs designed to target these genes have a higher chance of success in clinical trials and is expected to help prioritise RA drug development and save on drug development costs.

Indexed as

Arthritis, RheumatoidMendelian Randomization AnalysisDrug Delivery SystemsDrug DevelopmentHumansMolecular Docking SimulationDrug targetsGeneticsMendelian randomizationRheumatoid arthritis

Identifiers

PMID37697373
PMCPMC10496392
OpenAlexW4386601635

What OpenQuestion holds

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LicenceCC BY
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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.