Literature DB >> 24448899

Metabolic syndrome in patients taking clozapine: prevalence and influence of catechol-O-methyltransferase genotype.

Yi Zhang1, Meijuan Chen, Jun Chen, Zhiguo Wu, Shunying Yu, Yiru Fang, Chen Zhang.   

Abstract

RATIONALE: Metabolic syndrome (MetS) has consistently been identified as an adverse effect of long-term treatment with atypical antipsychotics (AAPs) such as clozapine. Elevated serum homocysteine concentration has been found to act as an independent risk factor for MetS, and catechol-O-methyltransferase (COMT) catalyzes the homocysteine metabolism. We accordingly hypothesized that COMT dysregulation may confer the susceptibility to MetS induced by AAPs, potentially in a gender-specific manner, because the interaction effects of COMT and gender have been consistently reported.
OBJECTIVES: This study aimed at determining the prevalence and influence of COMT on MetS among a population undergoing long-term clozapine treatment.
METHODS: A total of 468 schizophrenia patients taking clozapine were divided into two groups, those experiencing MetS and non-MetS. We genotyped three functional variants (rs4633, rs4680, and rs4818) in COMT and measured the serum levels of fasting homocysteine, glucose, triglyceride (TG), and high-density lipoprotein cholesterol.
RESULTS: MetS was found in 202/468 (43.2 %) of all the patients, with 40.2 % prevalence (138/343) in males and 51.2 % (64/125) in females. Patients with MetS had notably higher metabolic parameters than those without MetS. The mean levels of homocysteine in patients with MetS were significantly higher than those without MetS. We found a positive association between the rs4680 polymorphism and the serum triglyceride levels (corrected P = 0.024). Further analysis revealed that the rs4680 Met allele was significantly associated with increased triglyceride levels among female patients (P = 0.009), but not among males (P = 0.07).
CONCLUSIONS: Our findings suggest a potential association between rs4680 in COMT and elevated TG levels, particularly among female patients.

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Year:  2014        PMID: 24448899     DOI: 10.1007/s00213-013-3410-4

Source DB:  PubMed          Journal:  Psychopharmacology (Berl)        ISSN: 0033-3158            Impact factor:   4.530


  53 in total

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