Literature DB >> 21092051

Factors associated with plasma ghrelin level in Japanese general population.

Yasuki Nanjo1, Hisashi Adachi, Yuji Hirai, Mika Enomoto, Ako Fukami, Maki Otsuka, Kuniko Yoshikawa, Kanako Yokoi, Kinuka Ogata, Eri Tsukagawa, Akiko Kasahara, Kyoko Murayama, Hideo Yasukawa, Masayasu Kojima, Tsutomu Imaizumi.   

Abstract

OBJECTIVE: Ghrelin is a novel gastric peptide identified in 1999 as a 'hunger hormone'. Plasma ghrelin level is decreased in human obesity. Factors associated with ghrelin have been mainly investigated in western countries where the prevalence of obesity is high. The aim of this study is to examine factors associated with plasma ghrelin in a Japanese general population where obesity is not so common.
METHODS: Fasting ghrelin levels were measured by ELISA in 638 subjects in 2005-2007. We measured body mass index (BMI), waist circumference and blood pressure. Blood was drawn in the morning after a 12-h fast for determinations of ghrelin, lipid, glucose (FPG), insulin, estimated glomerular filtration rate (eGFR) and uric acid levels. Univariate and multiple stepwise regression analyses were performed to find out factors associated with ghrelin.
RESULTS: In our population, the mean BMI was 23·8 kg/m(2) , indicating a nonobese population. Results of univariate analysis showed that age (P<0·001), BMI (P<0·001), waist (P<0·001), triglycerides (P<0·01), FPG (P<0·01), insulin (P<0·001) and uric acid (P<0·05) were inversely associated with ghrelin. High-density lipoprotein (HDL) cholesterol (P<0·001) and eGFR (P<0·05) were positively associated with ghrelin. Men had lower ghrelin levels than women (P<0·001). Results of the multiple stepwise regression analysis revealed that age (P<0·001; inversely), female gender (P<0·001), insulin (P<0·001; inversely), HDL cholesterol (P=0·005), BMI (P=0·01; inversely) and uric acid (P=0·045; inversely) were significantly and independently associated with ghrelin.
CONCLUSIONS: The present study demonstrated that age and gender affected plasma ghrelin levels more than BMI. This may well be because of the low prevalence of overweight in our population.
© 2011 Blackwell Publishing Ltd.

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Year:  2011        PMID: 21092051     DOI: 10.1111/j.1365-2265.2010.03938.x

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  5 in total

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