ArticleNPJ cardiovascular health2024
Using proteomics to identify the mechanisms underlying the benefits of statins on ischemic heart disease.
Article in NPJ cardiovascular health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Integrative Proteomic and Lipidomic Analysis of Patients With Acute Myocardial Infarction Treated With PCSK9 Antibodies and Statins.Circulation. Genomic and precision medicine · 2026Trial
- Advancing global cardiovascular research and clinical translation.NPJ cardiovascular health · 2025Article
- Exploring the pathways linking fasting insulin to coronary artery disease: a proteome-wide Mendelian randomization study.BMC medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ischemic heart disease (IHD) is the single leading cause of mortality globally. Statins are the mainstay for IHD treatment. However, the specific mechanisms underlying statins' benefits on IHD have not been clarified. To examine the mechanisms through proteins, we used two-step Mendelian randomization (MR) approach. First, we examined the associations of genetically mimicked statins with 2923 proteins using genome-wide association of proteins from the UK Biobank Pharma Proteomics Project (UKB-PPP) to identify the proteins affected by statins, and replicated the findings using deCODE. Then we examined the associations of selected proteins with IHD risk using CARDIoGRAMplusC4D using MR, and replicated using FinnGen, and using another set of genetic instruments from deCODE. We selected proteins decreased or increased IHD risk and meanwhile increased or lowered by statins. We further examined the role of the selected protein(s) on common IHD comorbidities, including diabetes, chronic kidney disease (CKD), and kidney function (measured by estimated glomerular filtration rate (eGFR)). Nine proteins were affected by statins, including four proteins (PLA2G7, FGFBP1, ANGPTL1, and PTPRZ1) lowered by statins, and five proteins (EFNA4, COL6A3, ASGR1, PRSS8 and PCOLCE) increased by statins. Among these, PLA2G7 was related to higher risk of IHD after controlling for multiple testing. The associations were robust to different analytic methods and replication using another set of genetic instrument from deCODE, and using another GWAS of IHD from FinnGen. Genetically predicted PLA2G7 had null association with diabetes, CKD, and eGFR. We identified 9 proteins affected by statins, including 7 novel proteins which were not reported previously. PLA2G7 is on the pathway underlying statins' benefits on IHD. The clarification of statins' mechanisms had close relevance to precision medicine, and provided insights to the development of new treatment strategies.
Identifiers
What OpenQuestion holds
Registered trials
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.