Evidence map›Paper›PMID 35543713›Full record

ArticleMetabolic brain disease2022

Basal metabolic rate and risk of multiple sclerosis: a Mendelian randomization study.

Chunxin Liu, Yaxin Lu, Jingjing Chen, Wei Qiu, Yiqiang Zhan, Zifeng Liu

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Article in Metabolic brain disease, 2022. 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

6 authors.

Chunxin LiuDepartment of Neurology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Yaxin LuClinical Data Centre, Third Affiliated Hospital of Sun Yat- Sen University, Guangzhou, China.
Jingjing ChenClinical Data Centre, Third Affiliated Hospital of Sun Yat- Sen University, Guangzhou, China.
Wei QiuDepartment of Neurology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Yiqiang ZhanUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, 17 177, Stockholm, Sweden. yiqiang.zhan@ki.se.
Zifeng LiuClinical Data Centre, Third Affiliated Hospital of Sun Yat- Sen University, Guangzhou, China. liuzf@mail.sysu.edu.cn.ORCID 0000-0002-1392-8698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the relationship between basal metabolic rate (BMR) and multiple sclerosis (MS) susceptibility, we analyzed genome-wide association study (GWAS) summary statistics data from the International Multiple Sclerosis Genetics Consortium on a total of 115,803 participants of European descent, including 47,429 patients with MS and 68,374 controls. We selected 378 independent genetic variants strongly associated with BMR in a GWAS involving 454,874 participants as instrumental variables to examine a potential causal relationship between BMR and MS. A genetically predicted higher BMR was associated with a greater risk of MS (odds ratio [OR]: 1.283 per one standard deviation increase in BMR, 95% confidence interval [CI]: 1.108-1.486, P = 0.001). Moreover, we used the lasso method to eliminate heterogeneity (Q statistic = 384.58, P = 0.370). There was no pleiotropy in our study and no bias was found in the sensitivity analysis using the leave-one-out test. We provide novel evidence that a higher BMR is an independent causal risk factor in the development of MS. Further work is warranted to elucidate the potential mechanisms.

Indexed as

Genome-Wide Association StudyMultiple SclerosisBasal MetabolismHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideBasal metabolic rateGenome-wide association studyMendelian randomizationMultiple sclerosis

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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.