Plasma total and unacylated ghrelin predict 5-year changes in insulin resistance

Autor: M. Ius, Lorenza Mamolo, Franca Dore, Michela Zanetti, Pierandrea Vinci, Mauro Giacca, A. Semolic, G. Guarnieri, Gianluca Gortan Cappellari, Rocco Barazzoni
Přispěvatelé: Barazzoni, Rocco, GORTAN CAPPELLARI, Gianluca, Semolic, ANNA MARIA, Ius, M., Mamolo, Lorenza, Dore, F., Giacca, Mauro, Zanetti, Michela, Vinci, Pierandrea, Guarnieri, Gianfranco
Rok vydání: 2015
Předmět:
Zdroj: Clinical nutrition (Edinburgh, Scotland). 35(5)
ISSN: 1532-1983
Popis: Ghrelin is a gastric hormone circulating in acylated (AG) and unacylated (UG) forms, and higher plasma total ghrelin (TG) and UG may be cross-sectionally associated with lower insulin resistance in metabolic syndrome patients. The potential value of ghrelin forms in predicting insulin resistance and its time-related changes in community-based population cohorts remains unknown.We measured TG, AG and calculated UG (TG-AG) in 716 individuals from the North-East-Italy MoMa study (age: 55 ± 9 years, BMI: 29 ± 5 kg/m(2), M/F:349/367) to test the hypothesis that circulating TG and UG, but not AG are negatively associated with insulin resistance (HOMA). We further hypothesized that baseline TG and UG negatively predict 5-year HOMA changes in a 350-individual subgroup.Baseline TG and UG were associated negatively with HOMA after adjusting for gender and body mass index (BMI). Baseline gender- and BMI-adjusted TG and UG were also negatively associated with HOMA at 5-year follow-up (n = 350), and changes in TG and UG were negatively associated with changes in HOMA (P 0.05) after adjustment for anthropometric and metabolic confounders. No statistically significant correlations were observed between AG and baseline or 5-year HOMA.In a North-East Italy community-based population cohort, plasma TG and UG but not AG are negatively associated with HOMA. TG and UG and their changes also independently predict 5-year HOMA changes. TG and UG are therefore novel potential modulators of insulin resistance and may contribute to predict its time-related changes in humans.
Databáze: OpenAIRE