Adiponectin, body mass index and hepatic steatosis are independently associated with IGF-I status in obese non-diabetic women.

OBJECTIVE: Low IGF-I levels have been associated with obesity, insulin resistance, hepatic steatosis, and were shown to predict cardiovascular mortality. Adiponectin, on the other hand, was proved to have an important protective role against metabolic and cardiovascular diseases. This study investigates the relation between hepatic steatosis, adiponectin and IGF-I levels in a group of non-diabetic obese Romanian women. DESIGN: This cross-sectional study included 201 obese non-diabetic women, with mean age of 41.1±11.9 years and mean body mass index (BMI) of 44.1±8.3 kg/m(2), consecutively admitted to the Endocrinology Department of a University Hospital to be evaluated as candidates for bariatric surgery. Main measured parameters included total adiponectin (detected by ELISA method), insulin, C reactive protein (CRP), and IGF-I (all by chemiluminescence methods). Insulin sensitivity was assessed using the Quantitative Insulin Sensitivity Check Index (QUICKI). Patients were considered IGF-deficient if IGF-I z score was ≤2 standard deviations from mean for age. Hepatic ultrasound was used to determine the presence of significant steatosis (SS+). RESULTS: Significant steatosis was observed in 60.7% of our patients and this feature was associated with reduced total adiponectin levels (p<0.001) and lower IGF-I z scores (p<0.001). IGF-I z score negatively correlated with BMI (r=-0.283, p<0.001), alanine aminotransferase (ALT) (r=-0.130, p=0.032), gamma glutamyltransferase (GGT) (r=-0.158, p=0.018) and logarithmic transformed (log) CRP (r=-0.232, p=0.001) and positively correlated with QUICKI (r=0.148, p=0.023) and log adiponectin (r=0.216, p=0.003). The relationship between IGF-I z score and log adiponectin remained significant after adjusting for age, BMI, ALT, QUICKI and log CRP (r=0.183, p=0.012). IGF-I deficiency was present in 33.3% of these obese women. In multivariate logistic analysis, BMI (p<0.001), ALT (p=0.003), log adiponectin (p<0.001) and SS (p=0.043) proved to be independently associated with IGF-I deficiency. CONCLUSIONS: Adiponectin is significantly correlated with IGF-I z scores and, along with BMI, ALT and significant steatosis, is independently associated with IGF-I deficiency in obese non-diabetic women.

Noninvasive clinical model for the diagnosis of nonalcoholic steatohepatitis in overweight and morbidly obese patients undergoing bariatric surgery.

BACKGROUND: Liver biopsy, an invasive method, is the gold standard for differentiate nonalcoholic steatohepatitis (NASH) from other stages of fatty liver disease. A noninvasive test to diagnose NASH and disease severity before surgery and also for monitoring disease status after bariatric surgery (BS) will be an important medical challenge. AIM: To create a noninvasive biomarkers model for the diagnosis of NASH in overweight, obese and morbidly obese patients (MOP). PATIENTS AND METHODS: Sixty patients (mean BMI= 47.81kg/m2) were admitted after exclusion of other causes of liver disease. Liver biopsies were obtained at the time of the bariatric surgery or by percutaneous liver biopsy and graded using Kleiner score. Continuous variables were compared using Wilcoxon rank sum test and for prediction of NASH we used logistic regression. RESULTS: Logistic regression analysis showed that BMI, ALT, AST, alkaline phosphatase (ALP), HOMA-R, hs-CRP, M30, M65, leptine and adiponectine levels remained independent predictors for NASH (p less than 0.02). Using AUC analysis, we established the following cutoff levels being indicative of NASH: BMI e 47 kg/m2, ALT e 32 IU/mL, AST e 25 IU/mL, ALP e 85 IU/mL, HOMA-IR e 4, M65 e 389 U/L. Adiponectine less than 13.5 mg/L. A NASH-score, calculated as the sum of these 7 parameters, at a cutoff level of 4 points, can accurately predict NASH (sensitivity of 90%, specificity of 93.94% and AUC of 0.9576). CONCLUSIONS: We propose a noninvasive model for NASH diagnosis in MOP that should be validated prospectively. Using this noninvasive score, NASH would be predicted without the risks of liver biopsy.