Biomarkers of Cardiometabolic Risk in Children Treated With Antipsychotics: A Preliminary Study of Direct Measures

Washington University School of Medicine44 enrolled

Overview

The proposed study aims to begin the multi-step process of establishing the reliability and validity of hepatic triglyceride content (HTGC) and carotid artery intima-media thickness (IMT) as biomarkers of cardiometablic risk in children treated for mental illness. The distribution of HTGC and carotid IMT-proximate indicators of cardiometabolic risk-across a range of dual-energy X-ray absorptiometry (DEXA)-measured adiposity in children treated with antipsychotic agents will be characterized in comparison to healthy, untreated, non-psychiatric controls, in order to estimate effect sizes for future studies incorporating these markers. The ability of HTGC and IMT to predict cardiometabolic risk as measured by commonly-used laboratory tests, such as fasting lipids, liver function tests, C-reactive protein and serum fibrinogen, will be assessed.

Carotid artery intima media wall thickness (IMT) is one of the most developed biomarkers of cardiometabolic risk, with established reliability and predictive validity, and has been utilized as a surrogate endpoint for cardiovascular disease progression in FDA-reviewed registration studies. This technique has also been used in children and adolescents without psychiatric disorders, indicating that changes in IMT are positively correlated with metabolic syndrome criteria. Magnetic Resonance Spectroscopy (1H MRS) to quantify hepatic triglyceride content (HTGC) is a promising new marker of cardiometabolic risk, especially given the importance of nocturnal circulating free fatty acids in the development of insulin resistance leading to type 2 diabetes. Fatty liver, related in part to obesity, is the most common liver abnormality found in children ages 2-19, with one in ten children manifesting signs of macrovascular steatohepatitis. 1H MRS is a well-established methodology used to measure HTGC that correlates well with liver biopsy results. This technique has been studied in obese children without psychiatric disorders, and is widely considered to be the optimal noninvasive means by which to measure HTGC. Unfortunately, neither of these promising methods have been applied to the study of cardiometabolic risk in children with psychiatric disorders. It is important to now study these biomarkers in psychiatric populations, where individuals are subject to treatments that can increase risk. Our group is experienced in the application of sophisticated, gold standard techniques for measuring cardiometabolic risk in psychiatric populations, and is-to our knowledge-the only group in the US using sensitive methodologies like stable isotopomer euglycemic clamps to study the pathophysiology leading to diabetes and cardiovascular disease in the mentally ill. An important goal of studying these biomarkers is to ultimately determine which of the more commonly available conventional risk measures (e.g., lipid profiles, adiposity measures) can be used alone or in combination to accurately identify children at highest risk, to aid in the development and targeting of effective interventions.

Eligibility

Sex: ALLMin age: 6 YearsMax age: 18 YearsHealthy volunteers:

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The inclusion criteria for the treatment group participants are: i) aged approximately 6-18 years; ii) BMI percentile between approximately 25 and 99; iii) otherwise healthy and meets DSM-IV criteria for one or more childhood onset psychiatric disorder, any type (determined by semi-structured Missouri Assessment of Genetics Interview for Children or MAGIC-described below and at the discretion of the PI), treated with an antipsychotic \> approximately 12 weeks; iv) able to give assent and have a guardian that can provide informed consent; and v) no antipsychotic medication dose changes for approximately 1 month, and no other medication changes for 1 month prior to study enrollment. The inclusion criteria for healthy controls are: i) aged 6-18 years; ii) BMI percentile between approximately 25 and 99 iii) otherwise healthy and at the PI's discretion do not meet DSM-IV criteria for any Axis I psychiatric illness; iv) not currently taking any medications; and v) able to give assent, and have a guardian that can provide informed consent. The exclusion criteria are: i) active suicidality or a primary diagnosis of major depressive disorder; ii) any lifetime use of antipsychotics; individual subjects with a remote, brief prior antipsychotic exposure may be considered for enrollment on a case by case basis by the PI; iii) the presence of any serious medical disorder that may confound the assessment of relevant biologic measures or diagnoses, including: significant organ system dysfunction; endocrine disease, including type 1 or type 2 diabetes mellitus; coagulopathy; anemia; or acute infection; all based on PI discretion; iv) subjects regularly taking within the last 3 months any glucose lowering agent, lipid lowering agent, exogenous testosterone, recombinant human growth hormone, or any other endocrine agent that might confound substrate metabolism, oral glucocorticoids (glucocorticoid nasal spray and inhalers are permitted), sedating antihistamines (non-sedating antihistamines such as but not limited to Claritin (loratadine) and Zyrtec (cetirizine) are permitted), and certain mood stabilizing agents, as some medications may themselves worsen or otherwise alter weight gain, glucose and lipid regulation or otherwise make it difficult to assess the effects of the antipsychotic alone; (note that exposure to many psychotropic agents including stimulants and SSRI's is permitted in order to maintain the generalizability of the sample); v) IQ \< 70 (based on school records and/or evaluation by clinician); vi) current substance abuse; vii) past history of, or current dyskinesia; viii) stimulant dosage significantly higher (per PI judgment) than the equivalent of approximately 2 mg/kg/day methylphenidate equivalent dose.

Biomarkers of Cardiometabolic Risk in Children Treated With Antipsychotics: A Preliminary Study of Direct Measures

Overview

Conditions

Interventions

Eligibility

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Outcomes

Primary Outcomes