| Autor: |
Ojanen, X. (Xiaowei), Cheng, R. (Runtan), Törmäkangas, T. (Timo), Rappaport, N. (Noa), Wilmanski, T. (Tomasz), Wu, N. (Na), Fung, E. (Erik), Nedelec, R. (Rozenn), Sebert, S. (Sylvain), Vlachopoulos, D. (Dimitris), Yan, W. (Wei), Price, N. D. (Nathan D.), Cheng, S. (Sulin), Wiklund, P. (Petri) |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Popis: |
Summary Background: Cardiovascular diseases may originate in childhood. Biomarkers identifying individuals with increased risk for disease are needed to support early detection and to optimise prevention strategies. Methods: In this prospective study, by applying a machine learning to high throughput NMR-based metabolomics data, we identified circulating childhood metabolic predictors of adult cardiovascular disease risk (MetS score) in a cohort of 396 females, followed from childhood (mean age 11·2 years) to early adulthood (mean age 18·1 years). The results obtained from the discovery cohort were validated in a large longitudinal birth cohort of females and males followed from puberty to adulthood (n = 2664) and in four cross-sectional data sets (n = 6341). Findings: The identified childhood metabolic signature included three circulating biomarkers, glycoprotein acetyls (GlycA), large high-density lipoprotein phospholipids (L-HDL-PL), and the ratio of apolipoprotein B to apolipoprotein A-1 (ApoB/ApoA) that were associated with increased cardio-metabolic risk in early adulthood (AUC = 0·641‒0·802, all p |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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