ArticleBiology2026
A Phenome-Wide Comparative Analysis of Individualized Network Heterogeneity Across Treatment-Response Subphenotypes in Coronary Heart Disease.
Article in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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7 authors.
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Abstract
To address the heterogeneity in treatment effects (HTE) in precision medicine for coronary heart disease (CHD), we employed an individualized network analysis framework (Pheno-NM) to elucidate the molecular mechanisms of HTE in patients treated with Danhong injection (DHI). We integrated clinical phenotyping and transcriptomic data to identify three efficacy-based subgroups. The best-responding subgroup (D(+)S(+)) displayed the most complex gene network, with its key hub gene ORM1 linked to platelet activation. Individualized network analysis revealed that patient-specific symptom improvement correlated with unique functional module connectivity and gene expression variations (e.g., HSBP1L1 and KCNG2). Furthermore, six core network topological parameters significantly correlated with treatment efficacy and differed between subgroups (
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