Metabolic transition from childhood to adulthood based on two decades of biochemical time series in three longitudinal cohorts
Mäkinen, Ville-Petteri; Kähönen, Mika; Lehtimäki, Terho; Hutri, Nina; Rönnemaa, Tapani; Viikari, Jorma; Pahkala, Katja; Rovio, Suvi; Niinikoski, Harri; Mykkänen, Juha; Raitakari, Olli; Ala-Korpela, Mika (2025-03-26)
Mäkinen, Ville-Petteri
Kähönen, Mika
Lehtimäki, Terho
Hutri, Nina
Rönnemaa, Tapani
Viikari, Jorma
Pahkala, Katja
Rovio, Suvi
Niinikoski, Harri
Mykkänen, Juha
Raitakari, Olli
Ala-Korpela, Mika
Oxford University Press
26.03.2025
Ville-Petteri Mäkinen, Mika Kähönen, Terho Lehtimäki, Nina Hutri, Tapani Rönnemaa, Jorma Viikari, Katja Pahkala, Suvi Rovio, Harri Niinikoski, Juha Mykkänen, Olli Raitakari, Mika Ala-Korpela, Metabolic transition from childhood to adulthood based on two decades of biochemical time series in three longitudinal cohorts, International Journal of Epidemiology, Volume 54, Issue 2, April 2025, dyaf026, https://doi.org/10.1093/ije/dyaf026
https://creativecommons.org/licenses/by/4.0/
© The Author(s) 2025. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited
https://creativecommons.org/licenses/by/4.0/
© The Author(s) 2025. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202503282260
https://urn.fi/URN:NBN:fi:oulu-202503282260
Tiivistelmä
Abstract
Background:
This is the first large-scale longitudinal study of children that describes the temporal trajectories of an extensive collection of metabolic measures that are relevant for lifelong cardiometabolic risk. We also provide a comprehensive picture on how metabolism develops into mature adult sex-specific phenotypes.
Methods:
Children born in 1962–92 were recruited by three European studies (n = 20 377 eligible). Biochemical data for ages 0–26 years were available for n = 14 958 participants (n = 8385 with metabolomics). Age associations for 168 metabolic measures (6 physiological traits, 6 clinical biomarkers, and 156 serum metabolomics measures) were determined by using curvilinear regression. Puberty effects were calculated by using logistic regression of biological sex for pre- and post-pubertal age strata.
Results:
Age-specific concentrations were reported for all measures. Nonlinear age associations were typical, including insulin (R2 = 20.7% ±0.6% variance explained ±SE), glycerol (13.3% ±1.3%), glycoprotein acetyls (40.3% ±1.5%), and branched-chain amino acids (19.5% ±1.6%). Apolipoprotein B was not associated with age (0.7% ±0.4%). Multivariate modeling indicated that boys diverged from girls metabolically during ages 13–17 years. Puberty effects were observed for large high-density lipoprotein cholesterol (P = 8.5 × 10−288), leucine (P < 2.3 × 10−308), glutamine (P < 2.3 × 10−308), albumin (P = 1.7 × 10−161), docosahexaenoic acid (P = 5.2 × 10−50), and sphingomyelin (P = 4.4 × 10−90).
Conclusion:
Novel associations between emerging cardiometabolic risk factors, such as amino acids and glycoprotein acetyls, and growth and puberty were observed. Conversely, apolipoprotein B was stable, which favors its utility for early assessments of lifetime cardiovascular risk.
Background:
This is the first large-scale longitudinal study of children that describes the temporal trajectories of an extensive collection of metabolic measures that are relevant for lifelong cardiometabolic risk. We also provide a comprehensive picture on how metabolism develops into mature adult sex-specific phenotypes.
Methods:
Children born in 1962–92 were recruited by three European studies (n = 20 377 eligible). Biochemical data for ages 0–26 years were available for n = 14 958 participants (n = 8385 with metabolomics). Age associations for 168 metabolic measures (6 physiological traits, 6 clinical biomarkers, and 156 serum metabolomics measures) were determined by using curvilinear regression. Puberty effects were calculated by using logistic regression of biological sex for pre- and post-pubertal age strata.
Results:
Age-specific concentrations were reported for all measures. Nonlinear age associations were typical, including insulin (R2 = 20.7% ±0.6% variance explained ±SE), glycerol (13.3% ±1.3%), glycoprotein acetyls (40.3% ±1.5%), and branched-chain amino acids (19.5% ±1.6%). Apolipoprotein B was not associated with age (0.7% ±0.4%). Multivariate modeling indicated that boys diverged from girls metabolically during ages 13–17 years. Puberty effects were observed for large high-density lipoprotein cholesterol (P = 8.5 × 10−288), leucine (P < 2.3 × 10−308), glutamine (P < 2.3 × 10−308), albumin (P = 1.7 × 10−161), docosahexaenoic acid (P = 5.2 × 10−50), and sphingomyelin (P = 4.4 × 10−90).
Conclusion:
Novel associations between emerging cardiometabolic risk factors, such as amino acids and glycoprotein acetyls, and growth and puberty were observed. Conversely, apolipoprotein B was stable, which favors its utility for early assessments of lifetime cardiovascular risk.
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