TY - JOUR
T1 - Identification of modifiable plasma protein markers of cardiometabolic risk in children and adolescents with obesity
AU - Stinson, Sara Elizabeth
AU - Huang, Yun
AU - Thielemann, Roman
AU - Stankevic, Evelina
AU - Lund, Morten Asp Vonsild
AU - Holm, Louise Aas
AU - Fonvig, Cilius Esmann
AU - Juel, Helene Bæk
AU - Borisevich, Dmitrii
AU - Thiele, Maja
AU - Krag, Aleksander
AU - Ängquist, Lars
AU - Sørensen, Thorkild I A
AU - Pedersen, Oluf
AU - Christiansen, Michael
AU - Holm, Jens-Christian
AU - Hansen, Torben
N1 - © 2026. The Author(s).
PY - 2026
Y1 - 2026
N2 - Pediatric obesity is linked to multi-organ inflammation and an increased risk of cardiometabolic and steatotic liver disease. To identify circulating biomarkers of cardiometabolic risk, we performed proximity extension assay proteomics, to quantify 149 inflammation- and cardiovascular-related proteins in a cross-sectional study of 4024 children and adolescents (2377 with obesity and 1647 with normal weight). We identified protein signatures linked to obesity, dyslipidemia, insulin resistance, hyperglycemia, hypertension, and related cardiometabolic phenotypes. Using machine learning, a three-protein panel (CDCP1, FGF21, HAOX1) combined with liver enzymes improved prediction of steatotic liver disease versus liver enzymes alone (receiver operating characteristic-area under the curve (ROC-AUC) = 0.83 vs. 0.77; DeLong's test, P < 0.05). During a 1-year non-pharmacological obesity intervention (n = 184), reductions in adiposity were associated with decreased inflammatory cytokines (including CDCP1, FGF21), which correlated with improvements in cardiometabolic risk profiles. Here we show that circulating proteomic signatures may mediate obesity-related cardiometabolic risk in youth.
AB - Pediatric obesity is linked to multi-organ inflammation and an increased risk of cardiometabolic and steatotic liver disease. To identify circulating biomarkers of cardiometabolic risk, we performed proximity extension assay proteomics, to quantify 149 inflammation- and cardiovascular-related proteins in a cross-sectional study of 4024 children and adolescents (2377 with obesity and 1647 with normal weight). We identified protein signatures linked to obesity, dyslipidemia, insulin resistance, hyperglycemia, hypertension, and related cardiometabolic phenotypes. Using machine learning, a three-protein panel (CDCP1, FGF21, HAOX1) combined with liver enzymes improved prediction of steatotic liver disease versus liver enzymes alone (receiver operating characteristic-area under the curve (ROC-AUC) = 0.83 vs. 0.77; DeLong's test, P < 0.05). During a 1-year non-pharmacological obesity intervention (n = 184), reductions in adiposity were associated with decreased inflammatory cytokines (including CDCP1, FGF21), which correlated with improvements in cardiometabolic risk profiles. Here we show that circulating proteomic signatures may mediate obesity-related cardiometabolic risk in youth.
U2 - 10.1038/s41467-026-68415-2
DO - 10.1038/s41467-026-68415-2
M3 - Journal article
C2 - 41535681
SN - 2041-1723
VL - 17
JO - Nature Communications
JF - Nature Communications
M1 - 1718
ER -