ArticleBasic research in cardiology2025
A macrophage gene-regulatory network linked to clinical severity of coronary artery disease : The STARNET and NGS-PREDICT primary blood macrophage studies.
Article in Basic research in cardiology, 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.
- Clonal haematopoiesis of indeterminate potential and mortality in coronary artery disease.European heart journal · 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
23 authors.
Funding
Abstract
Coronary artery disease (CAD) is a major cause of global morbidity and mortality. Macrophages play a central role in orchestrating this disease process. In 2016, we initiated the STARNET primary blood macrophage study, followed by the multi-ethnic NGS-PREDICT primary blood macrophage study in 2018. We applied integrative systems genetics analysis to explore and validate the role of macrophage gene regulatory co-expression networks (GRNs) in clinically significant CAD. This study included 318 CAD cases and 134 CAD-free controls in STARNET, and 95 CAD cases and 35 CAD-free controls in NGS-PREDICT. Primary leukocytes were isolated from blood and differentiated into macrophages in vitro, followed by RNA extraction and deep sequencing (RNAseq). In STARNET, we analyzed differentially expressed genes, inferred macrophage GRNs, assessed the phenotypic associations and functions of these GRNs, and determined their key driver genes. Integrative analysis of STARNET expression quantitative traits (eQTLs) with genotype data from genome-wide association studies was performed to determine the content of CAD candidate genes in these GRNs, and their contributions to CAD heritability. Five independent RNAseq datasets were used to retrospectively validate CAD-associated macrophage GRNs, followed by prospective validation in the NGS-PREDICT study. Using the STARNET datasets, we identified 23 macrophage GRNs. Of these, GRN
Indexed as
Identifiers
40590916What 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.