A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Towards early risk biomarkers : serum metabolic signature in childhood predicts cardio-metabolic risk in adulthood (2021)
Ojanen, X., Cheng, R., Törmäkangas, T., Rappaport, N., Wilmanski, T., Wu, N., Fung, E., Nedelec, R., Sebert, S., Vlachopoulos, D., Yan, W., Price, N. D., Cheng, S., & Wiklund, P. (2021). Towards early risk biomarkers : serum metabolic signature in childhood predicts cardio-metabolic risk in adulthood. EBioMedicine, 72, Article 103611. https://doi.org/10.1016/j.ebiom.2021.103611
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Ojanen, Xiaowei; Cheng, Runtan; Törmäkangas, Timo; Rappaport, Noa; Wilmanski, Tomasz; Wu, Na; Fung, Erik; Nedelec, Rozenn; Sebert, Sylvain; Vlachopoulos, Dimitris; et al.
Lehti tai sarja: EBioMedicine
ISSN: 2352-3964
eISSN: 2352-3964
Julkaisuvuosi: 2021
Volyymi: 72
Artikkelinumero: 103611
Kustantaja: Elsevier
Julkaisumaa: Alankomaat
Julkaisun kieli: englanti
DOI: https://doi.org/10.1016/j.ebiom.2021.103611
Julkaisun avoin saatavuus: Avoimesti saatavilla
Julkaisukanavan avoin saatavuus: Kokonaan avoin julkaisukanava
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/78240
Lisätietoja: Available at SSRN: https://ssrn.com/abstract=3782500 or http://dx.doi.org/10.2139/ssrn.3782500
Tiivistelmä
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<0·01). These associations were confirmed in all validation cohorts with similar effect estimates both in females (AUC = 0·667‒0·905, all p<0·01) and males (AUC = 0·734‒0·889, all p<0·01) as well as in elderly patients with and without type 2 diabetes (AUC = 0·517‒0·700, all p<0·01). We subsequently applied random intercept cross-lagged panel model analysis, which suggested bidirectional causal relationship between metabolic biomarkers and cardio-metabolic risk score from childhood to early adulthood.
Interpretation
These results provide evidence for the utility of a circulating metabolomics panel to identify children and adolescents at risk for future cardiovascular disease, to whom preventive measures and follow-up could be indicated.
YSO-asiasanat: sydän- ja verisuonitaudit; riskitekijät; biomarkkerit; aineenvaihduntatuotteet; lapsuus; aikuisuus; pitkittäistutkimus
Vapaat asiasanat: metabolomics; cardio-metabolic risk; children; longitudinal-study; ALSPAC
Liittyvät organisaatiot
OKM-raportointi: Kyllä
Raportointivuosi: 2021
JUFO-taso: 1
