The gluten-free diet (GFD) remains a complex paradigm in managing celiac disease (CeD) in children and adults, and there are many reasons why GFD adherence should be strict to improve outcomes. However, this is a challenging task for patients, since they need to have access to quality healthcare resources that facilitate optimal GFD adherence. Understanding the strengths and weaknesses of the GFD, tackling coexisting nutritional deficiencies, and dealing with complex situations, such as seronegative CeD or non-responsive CeD, all require the involvement of a multidisciplinary team. The short- and long-term follow-up of CeD patients should preferably be performed by a combined Gastroenterology and Nutrition service with well-defined quality standards and the multidisciplinary involvement of physicians, nurses, dietitians, and psychologists. Nutritional advice and counseling by an experienced dietitian can reduce the costs associated with long-term follow-up of CeD patients. Likewise, psychological interventions may be essential in specific scenarios where implementing and sustaining a lifelong GFD can cause a significant psychological burden for patients. This manuscript aims to provide guidelines to improve clinical practice in the follow-up and monitoring of CeD patients and provide information on the nutritional risks of an ill-advised GFD. Clinicians, biochemists, food technologists, dietitians, and psychologists with a global view of the disease have been involved in its writing.

Context: Hormones related to energy balance control may play an important role on weight loss resistance after low-caloric diet (LCD) intervention. Objective: To investigate the predictive value of baseline leptin and ghrelin on body fat mass (FM) loss after 12 wk of LCD intervention and to study whether these associations could be related to changes in resting metabolic rate (RMR). Design: The study comprised a total of 78 obese women (age 36.7 +/- 7 yr). We measured, before and after the LCD intervention, FM (dual-energy x-ray absorptiometry) and RMR (kilojoules per kilogram body weight per day, indirect calorimetry). We also analyzed fasting serum leptin and ghrelin, and leptin to ghrelin ratio was calculated. Main Outcome Measures: FM and RMR changes (data at baseline - data after the intervention) were assessed. Results: Baseline serum leptin (r = -0.301; age- and baseline FM-adjusted P = 0.009) and ghrelin (r = 0.314, adjusted P = 0.014) levels as well as leptin to ghrelin levels (r = -0.331; adjusted P = 0.009) were significantly correlated with FM changes. Leptin to ghrelin ratio was significantly correlated with RMR at baseline and after the LCD (both P < 0.010). Baseline leptin to ghrelin ratio significantly predicted changes in RMR after the LCD (r = 0.298; P = 0.019) regardless of age, baseline RMR, and total body weight (r = 0.307; P = 0.016) or FM loss (r = 0.312; P = 0.015). Conclusions: Obese women with higher leptin and lower ghrelin levels at baseline seem to be more resistant to FM loss. The leptin to ghrelin ratio could be proposed as a biomarker for predicting metabolic adaptations to energy restriction treatment and, if confirmed in future studies, as a predictor of treatment success/failure. (J Clin Endocrinol Metab 96: E996-E1000, 2011)