Literature DB >> 29766568

Cord blood insulin, IGF-I, IGF-II, leptin, adiponectin and ghrelin, and their associations with insulin sensitivity, β-cell function and adiposity in infancy.

D L Zhang1,2, Q Du1,2, A Djemli3, P Julien4, W D Fraser2,5, Z C Luo1,2,6.   

Abstract

AIM: Vulnerability to insulin resistance and Type 2 diabetes may originate in early life, but little is known about whether any perinatal biomarkers are predictive of later metabolic health. We sought to assess whether cord blood insulin, insulin-like growth factor (IGF)-I, IGF-II, leptin, adiponectin and ghrelin are associated with metabolic health indicators in infancy.
METHODS: In a prospective singleton birth cohort, we assessed cord blood insulin, IGF-I, IGF-II, leptin, adiponectin and ghrelin concentrations in relation to the homeostasis model assessment of insulin resistance (HOMA-IR), β-cell function (HOMA-β), fasting proinsulin-to-insulin ratio, BMIz-score, and the sum of triceps and subscapular skinfold thickness (an indicator of adiposity) in infants at age 1 year (n = 185).
RESULTS: Adjusting for maternal and infant characteristics, one standard deviation (sd) increase in cord blood adiponectin was associated with an 11.1% (95% confidence interval 1.8-19.5%) decrease in HOMA-β (P = 0.02) and a 13.6% (1.8-26.8%) increase in proinsulin-to-insulin ratio (P = 0.02), indicating worse β-cell function in infants at age 1 year. One sd increase in cord blood insulin was associated with a 0.5 (0.1-1.0) mm increase in skinfold thickness (P = 0.01). One sd increase in cord blood ghrelin was associated with a 0.2 (0.02-0.3) decrease in BMIz-score (P = 0.02) and a 0.5 (0.1-0.9) mm decrease (P = 0.02) in skinfold thickness. Cord blood IGF-I and IGF-II were not associated with the observed metabolic health indicators at age 1 year.
CONCLUSION: The study is the first to show that cord blood adiponectin may be negatively predictive of β-cell function, whereas cord blood ghrelin may be negatively predictive of adiposity in infancy.
© 2018 Diabetes UK.

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Year:  2018        PMID: 29766568     DOI: 10.1111/dme.13671

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  5 in total

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  5 in total

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