Ghrelin secretion is modulated in a nutrient- and gender-specific manner

BACKGROUND Ghrelin is a potent GH secretagogue that also plays an important role in appetite and weight regulation. Ghrelin increases hunger and food intake, and its levels decrease after a standard meal or glucose. OBJECTIVE To examine the effects of standard oral glucose, lipid and protein loads on ghrelin levels, investigating the possibility that these responses may be modulated by several anthropometric and metabolic factors. SUBJECTS AND METHODS There were 24 adult nondiabetic subjects (13 men/11 women; mean age 55.3 +/- 2.9 years, range 26-74 years). Each participant underwent one or more of the following nutrient loads: (i) a standard oral glucose (75 g) load (n = 18); (ii) an oral lipid load (40 g, with 24 g saturated fat; n = 13); (iii) an oral protein load (40 g; n = 11). RESULTS Fasting ghrelin levels were negatively related to body mass index (BMI; r =-0.47; P = 0.02), waist circumference (r = -0.58; P = 0.0028), waist/hip ratio (r = -0.56; P = 0.0046), fasting insulin (r = -0.44, P = 0.03), and homeostasis model assessment insulin resistance index (HOMA-R; r = -0.43, P = 0.034). Glucose load induced a decrease in ghrelin levels (P < 0.0001), and this response was modulated by sex (P < 0.0001), in that levels were significantly higher in females. The presence of obesity affected ghrelin response to glucose (< 0.0217), in that log-transformed ghrelin levels started to increase back to baseline after its initial decline earlier in obese than in lean subjects. Ghrelin levels after a glucose load were lower over time in subjects with more pronounced insulin resistance (P < 0.0001). Similarly, ghrelin levels decreased significantly following the lipid meal (P = 0.035), and were modulated by HOMA-R (P = 0.027) and gender (P = 0.029). Protein did not affect ghrelin levels. CONCLUSIONS This study demonstrates that ghrelin levels respond in a different manner to glucose, lipid and protein loads, and are subject to modulation according to gender, obesity and insulin sensitivity.