Evidence map›Paper›PMID 33351885›Full record

ArticleEuropean heart journal2021

Metabolic profiling of angiopoietin-like protein 3 and 4 inhibition: a drug-target Mendelian randomization analysis.

Qin Wang, Clare Oliver-Williams, Olli T Raitakari, Jorma Viikari, Terho Lehtimäki, Mika Kähönen, Marjo-Riitta Järvelin, Veikko Salomaa, Markus Perola, John Danesh and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
9.7field-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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  15. Antibody-Based Therapeutics for Hypercholesterolemia.Biologics : targets & therapy · 2025
    Review
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  19. Causal inference in health and disease: a review of the principles and applications of Mendelian randomization.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Review
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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

14 authors at 10 institutions in 4 countries.

Qin WangSystems Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Clare Oliver-WilliamsMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Jorma ViikariDepartment of Medicine, University of Turku, Turku, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Mika KähönenDepartment of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Marjo-Riitta JärvelinCenter for Life Course Health Research, University of Oulu, Oulu, Finland.
Veikko SalomaaNational Institute for Health and Welfare, Helsinki, Finland.
Markus PerolaNational Institute for Health and Welfare, Helsinki, Finland.
John DaneshMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Johannes KettunenComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
Adam S ButterworthMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Michael V HolmesMedical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
Mika Ala-KorpelaComputational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland.
University of Cambridge · GBFinnish Institute for Health and Welfare · FIUniversity of Turku · FIBaker Heart and Diabetes Institute · AUNational Institute for Health Research · GBOulu University Hospital · FITampere University · FITampere University Hospital · FIUniversity of Eastern Finland · FIUniversity of Helsinki · FI

Funding

British Heart Foundation FS/18/23/33512
6 · The paper itself

Abstract

aimsAngiopoietin-like protein 3 (ANGPTL3) and 4 (ANGPTL4) inhibit lipoprotein lipase (LPL) and represent emerging drug targets to lower circulating triglycerides and reduce cardiovascular risk. To investigate the molecular effects of genetic mimicry of ANGPTL3 and ANGPTL4 inhibition and compare them to the effects of genetic mimicry of LPL enhancement. METHODS AND

resultsAssociations of genetic variants in ANGPTL3 (rs11207977-T), ANGPTL4 (rs116843064-A), and LPL (rs115849089-A) with an extensive serum lipid and metabolite profile (208 measures) were characterized in six cohorts of up to 61 240 participants. Genetic associations with anthropometric measures, glucose-insulin metabolism, blood pressure, markers of kidney function, and cardiometabolic endpoints via genome-wide summary data were also explored. ANGPTL4 rs116843064-A and LPL rs115849089-A displayed a strikingly similar pattern of associations across the lipoprotein and lipid measures. However, the corresponding associations with ANGPTL3 rs11207977-T differed, including those for low-density lipoprotein and high-density lipoprotein particle concentrations and compositions. All three genotypes associated with lower concentrations of an inflammatory biomarker glycoprotein acetyls and genetic mimicry of ANGPTL3 inhibition and LPL enhancement were also associated with lower C-reactive protein. Genetic mimicry of ANGPTL4 inhibition and LPL enhancement were associated with a lower waist-to-hip ratio, improved insulin-glucose metabolism, and lower risk of coronary heart disease and type 2 diabetes, whilst genetic mimicry of ANGPTL3 was associated with improved kidney function.

conclusionsGenetic mimicry of ANGPTL4 inhibition and LPL enhancement have very similar systemic metabolic effects, whereas genetic mimicry of ANGPTL3 inhibition showed differing metabolic effects, suggesting potential involvement of pathways independent of LPL. Genetic mimicry of ANGPTL4 inhibition and LPL enhancement were associated with a lower risk of coronary heart disease and type 2 diabetes. These findings reinforce evidence that enhancing LPL activity (either directly or via upstream effects) through pharmacological approaches is likely to yield benefits to human health.

Indexed as

Diabetes Mellitus, Type 2Pharmaceutical PreparationsAngiopoietin-Like Protein 3Angiopoietin-Like Protein 4Angiopoietin-like ProteinsAngiopoietinsHumansMendelian Randomization AnalysisAngiopoietin-Like Protein 3Angiopoietin-Like Protein 4Angiopoietin-like ProteinsAngiopoietinsANGPTL3 protein, humanANGPTL4 protein, humanPharmaceutical PreparationsAmino acidsANGPTL3ANGPTL4Drug targetsGlycoprotein acetylsLipoprotein lipidsLipoprotein subclassesLPLMendelian randomization

Identifiers

PMID33351885
PMCPMC7982288
OpenAlexW3111241027

What OpenQuestion holds

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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.