Plasma proteomics for prediction of subclinical coronary artery calcifications in primary prevention
Patrick Royer; Elias Björnson; Martin Adiels; María Bueno Álvez; Linn Fagerberg; Fredrik Bäckhed; Mathias Uhlén; Anders Gummesson · 2024 · American Heart Journal
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND AND AIMS: Recent developments in high-throughput proteomic technologies enable the discovery of novel biomarkers of coronary atherosclerosis. The aims of this study were to test if plasma protein subsets could detect coronary artery calcifications (CAC) in asymptomatic individuals and if they add predictive value beyond traditional risk factors. METHODS: Using proximity extension assays, 1,342 plasma proteins were measured in 1,827 individuals from the Impaired Glucose Tolerance and Microbiota (IGTM) study and 883 individuals from the Swedish Cardiopulmonary BioImage Study (SCAPIS)
Abstract by Patrick Royer; Elias Björnson; Martin Adiels; María Bueno Álvez; Linn Fagerberg; Fredrik Bäckhed; Mathias Uhlén; Anders Gummesson, American Heart Journal (2024) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/j.ahj.2024.01.011