Literature DB >> 34029449

Neonatal and Adolescent Adipocytokines as Predictors of Adiposity and Cardiometabolic Risk in Adolescence.

Catherine O Buck1, Nan Li2, Charles B Eaton2,3,4, Karl T Kelsey2,5, Kim M Cecil6,7, Heidi J Kalkwarf8, Kimberly Yolton9, Bruce P Lanphear10, Aimin Chen11, Joseph M Braun2.   

Abstract

OBJECTIVE: This study aimed to examine associations of changes in leptin and adiponectin concentrations from birth to age 12 years with adolescent adiposity and cardiometabolic risk in the Health Outcomes and Measures of Environment (HOME) Study, a prospective birth cohort (Cincinnati, Ohio; N = 166).
METHODS: Adiposity and cardiometabolic risk factors were assessed at age 12 years using anthropometry, dual-energy x-ray absorptiometry, and fasting serum biomarkers. Cardiometabolic risk scores were calculated by summing age- and sex- standardized z scores for individual cardiometabolic risk factors.
RESULTS: Most serum adipocytokine concentrations at birth were not associated with adiposity or cardiometabolic risk outcomes. Leptin and adiponectin concentrations at age 12 years were associated with all outcomes in the expected direction. Adolescents with increasing (β: 4.2; 95% CI: 3.2 to 5.2) and stable (β: 2.2; 95% CI: 1.2 to 3.2) leptin concentrations from birth to age 12 years had higher cardiometabolic risk scores than adolescents with decreasing concentrations (reference group). Adolescents with increasing (e.g., fat mass index = β: -1.04; 95% CI: -1.27 to -0.80) and stable (β: 0.66; 95% CI: -0.92 to -0.40) adiponectin/leptin ratios had more favorable adiposity outcomes than adolescents with decreasing ratios.
CONCLUSIONS: In this cohort, changes in leptin concentrations and adiponectin/leptin ratios over childhood were associated with adiposity and cardiometabolic risk scores, indicating that adipocytokine concentrations are potential biomarkers for predicting excess adiposity and cardiometabolic risk in adolescence.
© 2021 The Obesity Society (TOS).

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Year:  2021        PMID: 34029449      PMCID: PMC8567116          DOI: 10.1002/oby.23160

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  42 in total

1.  Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report.

Authors: 
Journal:  Pediatrics       Date:  2011-11-14       Impact factor: 7.124

2.  Triglycerides-to-HDL cholesterol ratio as screening tool for impaired glucose tolerance in obese children and adolescents.

Authors:  Melania Manco; Graziano Grugni; Mario Di Pietro; Antonio Balsamo; Stefania Di Candia; Giuseppe Stefano Morino; Adriana Franzese; Procolo Di Bonito; Claudio Maffeis; Giuliana Valerio
Journal:  Acta Diabetol       Date:  2015-12-21       Impact factor: 4.280

Review 3.  Risk Factors for Childhood Obesity in the First 1,000 Days: A Systematic Review.

Authors:  Jennifer A Woo Baidal; Lindsey M Locks; Erika R Cheng; Tiffany L Blake-Lamb; Meghan E Perkins; Elsie M Taveras
Journal:  Am J Prev Med       Date:  2016-02-22       Impact factor: 5.043

4.  A weight-gain-for-gestational-age z score chart for the assessment of maternal weight gain in pregnancy.

Authors:  Jennifer A Hutcheon; Robert W Platt; Barbara Abrams; Katherine P Himes; Hyagriv N Simhan; Lisa M Bodnar
Journal:  Am J Clin Nutr       Date:  2013-03-06       Impact factor: 7.045

5.  Update of the Healthy Eating Index: HEI-2010.

Authors:  Patricia M Guenther; Kellie O Casavale; Jill Reedy; Sharon I Kirkpatrick; Hazel A B Hiza; Kevin J Kuczynski; Lisa L Kahle; Susan M Krebs-Smith
Journal:  J Acad Nutr Diet       Date:  2013-02-13       Impact factor: 4.910

6.  Plasma leptin and adiponectin concentrations correlate with cardiometabolic risk and systemic inflammation in healthy, non-obese children.

Authors:  Dimitrios A Stakos; Helena I Papaioannou; Iliana Angelidou; Elpis Mantadakis; Emmanuel Paraskakis; Christina Tsigalou; Athanasios Chatzimichael
Journal:  J Pediatr Endocrinol Metab       Date:  2014-03       Impact factor: 1.634

7.  Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

Authors:  D R Matthews; J P Hosker; A S Rudenski; B A Naylor; D F Treacher; R C Turner
Journal:  Diabetologia       Date:  1985-07       Impact factor: 10.122

8.  Fat and lean BMI reference curves in children and adolescents and their utility in identifying excess adiposity compared with BMI and percentage body fat.

Authors:  David R Weber; Reneé H Moore; Mary B Leonard; Babette S Zemel
Journal:  Am J Clin Nutr       Date:  2013-05-22       Impact factor: 7.045

Review 9.  Continuous cardiometabolic risk score definitions in early childhood: a scoping review.

Authors:  M Kamel; B T Smith; G Wahi; S Carsley; C S Birken; L N Anderson
Journal:  Obes Rev       Date:  2018-09-17       Impact factor: 9.213

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