ArticleScientific reports2025
Integrative Mendelian randomization and multi-omics analysis identifies anti-allergic drug targets associated with cardiovascular disease risk.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Integrative Multi-Omics Mendelian Randomization Identifies BLMH as a Keratinocyte-Enriched Protective Candidate Gene and Potential Therapeutic Target in Psoriasis.Journal of inflammation research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Cardiovascular diseases (CVDs) are major global health threats. This study explores links between anti-allergic drugs and CVD risk, providing valuable insights for clinical pharmacotherapy. Mendelian randomization (MR) analyses were performed on 139 eQTLs for anti-allergic drugs in coronary artery disease (CAD), heart failure (HF), myocardial infarction (MI), and atrial fibrillation (AF) cohorts, with validation in independent cohorts. Sensitivity analyses, transcriptomics analysis, enrichment analysis, and molecular docking were performed to evaluate the robustness of causality, potential pathways and binding affinity. Furthermore, the FAERS database evaluated the cardiovascular adverse events associated with prednisone in combination with cardiovascular drugs. Among the 11 anti-allergic drug targets significantly linked to CVDs, KAT2A inversely correlated with CAD risk, BAZ2B and CYP2C8 with AF risk, and ITGB2, TG and six other eQTLs were associated with HF risk. Notably, prednisone (targeting ITGB2, TG) and loratadine (targeting TSHR) elevated CVD risk, while zafirlukast (targeting KAT2A, POLB, BAZ2B) reduced it. The progression of CVDs may be influenced by the formation of neutrophil extracellular traps and lipid accumulation, which could potentially be affected by the administration of prednisone and similar medications. Molecular docking revealed a strong binding affinity between the cardiovascular candidate drug quercetin and zafirlukast (POLB). Pharmacovigilance analysis indicated an increased risk of adverse cardiovascular outcomes with the concurrent use of prednisone and cardiovascular drugs. The comprehensive analyses indicate that certain anti-allergic drugs may heighten the risk of CVDs, suggesting caution with medications like prednisone.
Indexed as
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.