P1vital CNS Experimental Medicine : OBESITY

Background

The WHO, governmental and health agencies have publicised the global obesity epidemic, affecting children, adolescents and adults, as one of the principal health concerns facing the world’s population today. Indeed, by 2025, the WHO estimates that obesity will emerge as a more serious world problem than malnutrition. Obesity is defined as a condition of abnormal or excessive fat accumulation and increases the risk of developing type II diabetes, coronary heart disease, hypertension, osteoarthritis and some cancers. The fundamental cause of obesity is the excess of energy intake over energy expenditure. Classification of obesity is determined through measurement of the body mass index (BMI), which is calculated by dividing body weight (kg) by height squared (m2). A value in excess of 30 indicates that the patient is obese.
It is estimated that over 250 million people suffer from obesity worldwide. The US has the greatest prevalence of obesity with up to 35% of the population defined as obese, and 54% defined as overweight. The UK has one of the highest rates of obesity in Europe, with 20% of the population defined as obese and over 50% defined as overweight.
The development of safe and effective therapeutic interventions is imperative, with the aim to achieve weight losses which can be sustained sufficiently to reduce major health risks. One of the effective means to help loss of weight, as part of a comprehensive programme, is to prescribe drug treatments designed specifically to reduce appetite and food consumption, without significant side-effects.
At present drug treatment for obesity is limited to two products that have recently entered the market. Orlistat is a lipase inhibitor that works by preventing the breakdown and, therefore, absorption of fat in the intestinal system. However, its utility is limited by side effect problems including sudden faecal urgency. Sibutramine is a serotonin-noradrenaline reuptake inhibitor that affects brain mechanisms of satiety; however, the drug also affects the cardiovascular system which limits its utility.

Universal Eating Monitor Model

Despite new drug approvals, there is still a medical need for improved therapies for obesity. Similarly, a need exists for human experimental model systems which enable novel drug therapies (already demonstrated to be safe in Phase 1 trials) to be rapidly screened for efficacy. P1vital in collaboration with the University of Liverpool has established a laboratory for the study of human ingestive behaviour and has developed an automated method to measure food intake and subjective ratings of food palatability, hunger and fullness. P1vital is working with Prof Steve Cooper and Prof John Wilding who have extensive expertise in measurement of ingestive behaviour, metabolic rate and energy expenditure, access to obese patients and clinical trial experience with anti-obesity drugs. Together we have developed a customized programme (Universal Eating Monitor (UEM) model) which provides a robust, objective measure of anti-obesity treatment interventions, ideally suited to the evaluation of novel drug therapies. Studies are currently underway to validate the UEM model with the licensed appetite-suppressant: the serotonin- and noradrenaline-reuptake inhibitor, sibutramine. The initial sibutramine study is an outpatient, double-blind, placebo-controlled study, utilising a randomised within-subjects design to evaluate the effects of sibutramine (at doses of 10 and 15mg) versus placebo control in terms of food intake and energy expenditure in 36 obese female patients (BMI >30). Data collected by UEM will be analysed to determine the effects of the two sibutramine treatments on total food intake (energy) in the test meal, the rate of consumption throughout the meal, the duration of eating, and subjective ratings of palatability, hunger and fullness. Simultaneous measurements of metabolic rate will be collected using the Deltratrac metabolic monitor. Effects on energy intake and expenditure will be evaluated in relation to concentrations of active sibutramine metabolites measured in blood samples. These data will provide a more complete characterisation of sibutramine's anti-obesity effects than currently available and will provide a standard set of measures against which to compare potential novel anti-obesity drugs in an appropriate laboratory setting. Successful completion of this study (which is scheduled for 2Q 2006) will demonstrate the utility, specificity and sensitivity of our automated, quantitative measurement approach using the UEM


For more information on the UEM model or to discuss obesity studies contact Info@p1vital.com