Evidence map›Paper›PMID 38035758›Full record

ArticleRMD open2023

Metabolomic profiles, polygenic risk scores and risk of rheumatoid arthritis: a population-based cohort study in the UK Biobank.

Xin-Yu Fang, Jie Zhang, Ting-Ting Qian, Peng Gao, Qing Wu, Quan Fang, Su-Su Ke, Rong-Gui Huang, Heng-Chuan Zhang, Ni-Ni Qiao and 2 more

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 13 citations in OpenAlex.

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  13. [Association of Rest-Activity Rhythm With the Risk of Rheumatoid Arthritis and Effect Modification by Genetic Susceptibility].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
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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

12 authors at 2 institutions in 3 countries.

Xin-Yu Fang *Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jie Zhang *School of Public Health, Anhui University of Science and Technology, Hefei, Anhui, China.
Ting-Ting QianEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Peng GaoEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Qing WuEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Quan FangEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Su-Su KeEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Rong-Gui HuangEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Heng-Chuan ZhangEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Ni-Ni QiaoEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yin-Guang FanEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China ydq@ahmu.edu.cn fanyinguang@163.com.
Dong-Qing YeEpidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China ydq@ahmu.edu.cn fanyinguang@163.com.ORCID 0000-0001-6604-9614
Anhui Medical University · CNAnhui University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship between metabolomic profiles, genome-wide polygenic risk scores (PRSs) and risk of rheumatoid arthritis (RA).

methods143 nuclear magnetic resonance-based plasma metabolic biomarkers were measured among 93 800 participants in the UK Biobank. The Cox regression model was used to assess the associations between these metabolic biomarkers and RA risk, and genetic correlation and Mendelian randomisation analyses were performed to reveal their causal relationships. Subsequently, a metabolic risk score (MRS) comprised of the weighted sum of 17 clinically validated metabolic markers was constructed. A PRS was derived by assigning weights to genetic variants that exhibited significant associations with RA at a genome-wide level.

resultsA total of 620 incident RA cases were recorded during a median follow-up time of 8.2 years. We determined that 30 metabolic biomarkers were potentially associated with RA, while no further significant causal associations were found. Individuals in the top decile of MRS had an increased risk of RA (HR 3.52, 95% CI: 2.80 to 4.43) compared with those below the median of MRS. Further, significant gradient associations between MRS and RA risk were observed across genetic risk strata. Specifically, compared with the low genetic risk and favourable MRS group, the risk of incident RA in the high genetic risk and unfavourable MRS group has almost elevated by fivefold (HR 6.10, 95% CI: 4.06 to 9.14).

conclusionOur findings suggested the metabolic profiles comprising multiple metabolic biomarkers contribute to capturing an elevated risk of RA, and the integration of genome-wide PRSs further improved risk stratification.

Indexed as

Arthritis, RheumatoidBiological Specimen BanksBiomarkersCohort StudiesHumansRisk FactorsUnited KingdomBiomarkersArthritis, RheumatoidAutoimmune DiseasesEpidemiology

Identifiers

PMID38035758
PMCPMC10689387
OpenAlexW4389168078

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.