aceTRV-2026-1143Version 2 · Revised
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TRUVACE RECORD VERSION record: TRV-2026-1143 version: 2 kind: revised reason: Direction audit: the problem line stated no AI consequence and was removed. Filed as context; not counted as a gain or a problem. timestamp: 2026-10-26T06:38:43.765051Z status: published lens: general sector: climate headline: Gene-environment interactions shape cytokine-mediated inflammation and cardiovascular risk dek: Background Chronic inflammation is a major driver of cardiovascular diseases, but mechanisms linking systemic inflammation to cardiac remodelling remain incompletely understood. We aimed to evaluate the role of cytokine-mediated signalling and the influence of environmental and genetic factors on inflammation and cardiac phenotypes in a large population-based cohort. Methods We analysed subsets of 488 079 UK Biobank participants with metabolomic and proteomic profiling, cardiac magnetic resonance (CMR) imaging,… gain_title: (none) problem_title: Gene-environment interactions shape cytokine-mediated inflammation and cardiovascular risk: An exposome-wide association study identified environmental determinants of inflammation, and gene-environment interactions were assessed using multi-ancestry polygenic risk scores. trace_subject: (none) gain_reading: (none) gain_evidence: (none) problem_reading: Gene-environment interactions shape cytokine-mediated inflammation and cardiovascular risk: An exposome-wide association study identified environmental determinants of inflammation, and gene-environment interactions were assessed using multi-ancestry polygenic risk scores. problem_evidence: (none) quick_read: Background Chronic inflammation is a major driver of cardiovascular diseases, but mechanisms linking systemic inflammation to cardiac remodelling remain incompletely understood. We aimed to evaluate the role of cytokine-mediated signalling and the influence of environmental and genetic factors on inflammation and cardiac phenotypes in a large population-based cohort. Machine learning-based analysis extracted CMR phenotypes. limitation: tag: Context key_points: Background Chronic inflammation is a major driver of cardiovascular diseases, but mechanisms linking systemic inflammation to cardiac remodelling remain incompletely understood. | We aimed to evaluate the role of cytokine-mediated signalling and the influence of environmental and genetic factors on inflammation and cardiac phenotypes in a large population-based cohort. | Methods We analysed subsets of 488 079 UK Biobank participants with metabolomic and proteomic profiling, cardiac magnetic resonance (CMR) imaging, and longitudinal outcomes. rundown: Background Chronic inflammation is a major driver of cardiovascular diseases, but mechanisms linking systemic inflammation to cardiac remodelling remain incompletely understood. We aimed to evaluate the role of cytokine-mediated signalling and the influence of environmental and genetic factors on inflammation and cardiac phenotypes in a large population-based cohort. Methods We analysed subsets of 488 079 UK Biobank participants with metabolomic and proteomic profiling, cardiac magnetic resonance (CMR) imaging, and longitudinal outcomes. Chronic inflammation was quantified using glycoprotein acetyls (GlycA) by nuclear magnetic resonance spectroscopy. sources: - peer_reviewed | European Journal of Preventive Cardiology | https://doi.org/10.1093/eurjpc/zwag435 | 2026-09-18 prev: a5cf5072fd07e77d8ed205098cfee57cbdfd06f5c99a1404bf7ad874d036ca95
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