Evidence map›Paper›PMID 36936593›Full record

ArticleBMJ medicine2022

Effects of metabolic traits, lifestyle factors, and pharmacological interventions on liver fat: mendelian randomisation study.

Shuai Yuan, Jie Chen, Marijana Vujkovic, Kyong-Mi Chang, Xue Li, Susanna C Larsson, Dipender Gill

Open access · goldAbstract read
In one paragraph

Article in BMJ medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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

7 authors at 6 institutions in 5 countries.

Shuai YuanUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Jie ChenCentre for Global Health, Zhejiang University School of Medicine, Hangzhou, China.
Marijana VujkovicCorporal Michael J Crescenz VA Medical Center, Philadelphia, PA, USA.
Kyong-Mi ChangCorporal Michael J Crescenz VA Medical Center, Philadelphia, PA, USA.
Xue LiCentre for Global Health, Zhejiang University School of Medicine, Hangzhou, China.
Susanna C LarssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-0118-0341
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID 0000-0001-7312-7078
Philadelphia VA Medical Center · USCentral South University · CNKarolinska Institutet · SENovo Nordisk (Denmark) · DKUppsala University · SEZhejiang University · CN

Funding

A genomics-based strategy to precision phenotyping and drug repositioning in cardiometabolic diseasesR01DK134575 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Marijana Vujkovic · 2023 to 2026
$1.4M
Medical Research Council MC_UU_00002/7NIDDK NIH HHS R01 DK134575
6 · The paper itself

Abstract

Objective: To investigate the effects of metabolic traits, lifestyle factors, and drug interventions on liver fat using the mendelian randomisation paradigm. Design: Mendelian randomisation study. Setting: Publicly available summary level data from genome-wide association studies. Participants: Genome-wide association studies of 32 974 to 1 407 282 individuals who were predominantly of European descent. Exposures: Genetic variants predicting nine metabolic traits, six lifestyle factors, four lipid lowering drug targets, three antihypertensive drug targets, and genetic association estimates formagnetic resonance imaging measured liver fat. Main outcome measures: Mendelian randomisation analysis was used to investigate the effects of these exposures on liver fat, incorporating sensitivity analyses that relaxed the requisite modelling assumptions. Results: Genetically predicted liability to obesity, type 2 diabetes, elevated blood pressure, elevated triglyceride levels, cigarette smoking, and sedentary time watching television were associated with higher levels of liver fat. Genetically predicted lipid lowering drug effects were not associated with liver fat; however, β blocker and calcium channel blocker antihypertensive drug effects were associated with lower levels of liver fat. Conclusion: These analyses provide evidence of a causal effect of various metabolic traits, lifestyle factors, and drug targets on liver fat. The findings complement existing epidemiological associations, further provide mechanistic insight, and potentially supports a role for drug interventions in reducing the burden of hepatic steatosis and related disease. Further clinical study is now warranted to investigate the relevance of these genetic analyses for patient care.

Identifiers

PMID36936593
PMCPMC9978690
OpenAlexW4312080256

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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.