Evidence map›Paper›PMID 39611306›Full record

ArticleEuropean heart journal. Cardiovascular pharmacotherapy2025

Lipid-lowering therapies for aortic stenosis: a drug-target Mendelian randomization study.

Jonathan L Ciofani, Daniel Han, Karan Rao, Dipender Gill, Benjamin Woolf, Kazem Rahimi, Usaid K Allahwala, Ravinay Bhindi

Abstract read
In one paragraph

Article in European heart journal. Cardiovascular pharmacotherapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

8 authors.

Jonathan L CiofaniSydney Medical School, The University of Sydney, Camperdown, NSW 2006, Australia.ORCID 0000-0003-4476-6051
Daniel HanSchool of Mathematics and Statistics, University of New South Wales, Sydney 2052, Australia.
Karan RaoSydney Medical School, The University of Sydney, Camperdown, NSW 2006, Australia.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Exhibition Rd, South Kensington, London SW7 2AZ, UK.ORCID 0000-0001-7312-7078
Benjamin WoolfMRC Biostatistics Unit, University of Cambridge, Cambridge CB2 1TN, UK.ORCID 0000-0002-1505-2570
Kazem RahimiDeep Medicine, Oxford Martin School, University of Oxford, Oxford OX1 2JD, UK.
Usaid K AllahwalaSydney Medical School, The University of Sydney, Camperdown, NSW 2006, Australia.
Ravinay BhindiSydney Medical School, The University of Sydney, Camperdown, NSW 2006, Australia.

Funding

British Heart Foundation R79992/CN001Heart Research AustraliaUKRI ES/P011055/1
6 · The paper itself

Abstract

introductionLarge observational and Mendelian randomization (MR) studies have demonstrated a strong association between both elevated LDL cholesterol (LDL-c) and triglycerides (TG) with risk of aortic stenosis (AS), although randomized trials showed no benefit of statins for AS. It consequently remains uncertain whether lipid-lowering therapies have a role to prevent or treat AS. We used a drug-target MR approach to investigate the genetically predicted effect of lipid-lowering therapies on risk of AS. METHODS AND

resultsWe collected summary statistics for LDL-c, TG, and AS from genome-wide association studies (GWAS) including 1 320 016, 1 253 277, and 412 181 European participants from the Global Lipids Genetics Consortium and FinnGen study, respectively. We identified genetic proxies for PCSK9 inhibitors, statins, bempedoic acid, and ezetimibe as single nucleotide polymorphisms in or within 200 kb of the target genes (PCSK9, HMGCR, ACLY, and NPC1L1, respectively), which were also significantly associated with LDL-c at P < 5 × 10-8. We used a similar approach to identify genetic proxies for the TG-lowering agents fenofibrates, APOC3 inhibitors, and ANGPTL3 inhibitors using the target genes PPARA, APOC3, and ANGPTL3, respectively. Inverse variance-weighted was the primary analysis method. Sensitivity analyses included weighted median, weighted mode, and MR-Egger, followed by the outlier-exclusion approaches MR-PRESSO and Cook's distance. We also performed multivariable analyses to evaluate whether the predicted effect of PCSK9 inhibition may be mediated by lipoprotein(a). We performed replication and negative control analyses using GWAS of AS and height including 653 867 and 408 112 participants, respectively. Genetically proxied PCSK9 inhibition was significantly associated with reduced AS risk (odds ratio [OR] 0.61, 95% confidence interval [CI] 0.52-0.72, P < 0.0001) on main, replication, and all sensitivity analyses. Genetically proxied ezetimibe (OR 0.49, 95% CI 0.31-0.78, P = 0.003), bempedoic acid (OR 0.0054, 95% CI 0.0002-0.12, P = 0.0009), and statins (OR 0.61, 95% CI 0.46-0.81, P = 0.0006) were similarly associated with reduced AS risk, although the latter were not significant on replication analyses. Amongst the TG-lowering agents, genetically proxied APOC3 inhibition was associated with reduced AS risk (OR 0.78, 95% CI 0.70-0.88, P < 0.0001), but fenofibrate (OR 0.64, 95% CI 0.09-4.53, P = 0.65) and ANGPTL3 inhibitors (OR 1.05, 95% CI 0.77-1.43, P = 0.74) were not.

conclusionsGenetically proxied lipid-lowering therapies are significantly associated with reduced risk of AS. Early initiation and sustained administration of lipid-lowering therapies may prevent AS progression and warrants further research in the clinical trial setting.

Indexed as

Anticholesteremic AgentsAortic Valve StenosisCholesterol, LDLDyslipidemiasHypolipidemic AgentsPharmacogenomic VariantsTriglyceridesBiomarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMendelian Randomization AnalysisPCSK9 InhibitorsPhenotypeAnticholesteremic AgentsBiomarkersCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsHypolipidemic AgentsPCSK9 InhibitorsPCSK9 protein, humanProprotein Convertase 9TriglyceridesAortic stenosisEpidemiologyGenetic epidemiologyLipid-lowering therapyMendelian randomizationValvular heart disease

Identifiers

PMID39611306
PMCPMC11905763

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC
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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.