Increasing energy expenditure is important to enhance management of antipsychotic-associated weight gain

Effects of risperidone on energy balance in female C57BL/6J mice

OBJECTIVE

To investigate the effect of risperidone on energy expenditure and weight gain in female C57BL/6J mice.

DESIGN AND METHODS

Body weight and composition, food intake, energy expenditure, and activity were determined weekly. mRNA expression of uncoupling protein 1 in brown adipose tissue, orexin, and brain-derived neurotrophic factor in the hypothalamus were quantified using real-time PCR.

RESULTS

Risperidone tended to induce a greater body weight gain (P = 0.052) and significantly higher food intake (P = 0.038) relative to the placebo-treated group. Risperidone-treated mice had a higher resting energy expenditure (P = 0.001) and total energy expenditure (TEE) (P = 0.005) than the placebo group. There were no effects of treatment, time, and treatment by time on non-resting (or activity-related) energy expenditure between groups. Risperidone-treated mice showed a significantly lesser locomotor activity than placebo-treated mice over 3 weeks (P < 0.001). Risperidone induced a higher UCP1 mRNA (P = 0.003) and a lower orexin mRNA (P = 0.001) than placebo.

CONCLUSION

Risperidone-induced weight gain is associated with hyperphagia and a reduction in locomotor activity in C57BL/6J mice. Additionally, higher total and resting energy expenditure were accompanied by higher levels of UCP1 mRNA in BAT. The increased TEE could not offset the total intake of energy through risperidone-induced hyperphagia, therefore resulting in weight gain in female C57BL/6J mice.

Addressing cardiometabolic risk during treatment with antipsychotic medications

PURPOSE OF REVIEW

To raise awareness of and inform evidence-based practice regarding medical and behavioral interventions for antipsychotic medication-induced metabolic abnormalities.

RECENT FINDINGS

The current literature indicates that individuals with severe and persistent mental illness have significantly worse health outcomes and premature mortality than the general population, owing to a combination of under-recognition and treatment of medical risk factors, reduced access to care, sedentary lifestyle and poor diet, and the potential contribution of adverse metabolic side effects of antipsychotic medications such as weight gain, hyperglycemia and dyslipidemia. A combination of administrative, behavioral and medical approaches to addressing these medical risks may be more effective than any one of these approaches alone.

SUMMARY

Treatment with antipsychotic medications can induce significant weight gain and abnormalities in lipid and glucose metabolism that increase risk for cardiovascular disease and diabetes in a population already at risk from multiple other sources. Managing the side effects of antipsychotics and lowering risk in general is an important aspect of the management of chronic mental illness. There are a variety of effective medical and behavioral interventions that can be employed to achieve primary and secondary prevention aims.

Genetics of antipsychotic treatment emergent weight gain in schizophrenia

Classic and modern antipsychotics can induce substantial weight gain causing diabetes, lipid abnormalities and psychological distress. Treatment emergent weight gain varies within the broad class of antipsychotics; however, an individual's propensity to develop weight gain largely depends on genetic factors. The first part of this review highlights current ideas and concepts related to antipsychotic-induced weight gain, including principles on energy homeostasis. The second part summarizes genetic findings emphasizing studies published after 2003 as prior studies have been reviewed in detail elsewhere. Candidate gene studies have produced significant findings in the 5-hydroxytryptamin 2C (5HT2C) and adrenergic alpha2a (ADRalpha2a) receptor genes, as well as in the leptin, guanine nucleotide binding protein (GNB3) and synaptomal-associated protein 25kDa (SNAP25) genes. Results from genome-wide association and linkage studies point to several chromosomal regions (e.g., 12q24) and some specific genes (e.g., promelanin concentrating hormone [PMCH], polycyctic kidney and hepatic disease 1 [PKHD1], peptidylglycine alpha-amidating monooxygenase [PAM]). However, more efforts are needed before risk prediction and personalized medicine can be made available for antipsychotic-induced weight gain.