Adjunctive fluvoxamine inhibits clozapine metabolism and decreases plasma norclozapine (a toxic metabolite of clozapine) to clozapine ratios. This study aimed to demonstrate the effects of fluvoxamine on clozapine-related weight gain, hyperglycemia, and lipid abnormalities. Sixty-eight treatment-resistant inpatients with a DSM-IV diagnosis of schizophrenia were randomly assigned to 2 treatment groups for 12 weeks. The monotherapy group (N = 34) received clozapine (< or = 600 mg/day). The coadministration group (N = 34) received fluvoxamine (50 mg/day) plus low-dose clozapine (< or = 250 mg/day). The study was conducted from August 1999 to October 2002. The 2 groups were similar in demographic data; baseline body weight and body mass index (BMI); baseline serum glucose, triglyceride, and cholesterol levels; and steady-state plasma clozapine concentration. The monotherapy patients (but not the coadministration patients) had significantly higher (p < .05) body weight, BMI, and serum glucose and triglyceride levels after treatment than at baseline. At week 12, the monotherapy patients also had significantly higher glucose (p = .035), triglyceride (p = .041), and norclozapine (p = .009) (and numerically higher cholesterol) levels than the cotreatment patients. The changes in weight and serum glucose and triglyceride levels were significantly correlated (p = .026, p = .005, and p = .028, respectively) with the plasma concentration of norclozapine but not with plasma levels of clozapine. These results suggest that fluvoxamine cotreatment can attenuate weight gain and metabolic disturbances in clozapine-treated patients. Plasma levels of norclozapine, but not clozapine, are associated with increases in weight and serum glucose and triglyceride levels. Of note, coadministration of fluvoxamine could increase plasma clozapine levels markedly and carry the risk of adverse events. If this combined treatment is applied, conservative introduction with reduced clozapine dosage and careful therapeutic drug monitoring of clozapine concentration is recommended.

Several genes that are involved in the regulation of circadian rhythms are implicated in the susceptibility to bipolar disorder (BD). The current study aimed to investigate the relationships between genetic variants in NR1D1 RORA, and RORB genes and BD in the Han Chinese population. We conducted a case-control genetic association study with two samples of BD patients and healthy controls. Sample I consisted of 280 BD patients and 200 controls. Sample II consisted of 448 BD patients and 1770 healthy controls. 27 single nucleotide polymorphisms in the NR1D1, RORA, and RORB genes were genotyped using GoldenGate VeraCode assays in sample I, and 492 markers in the three genes were genotyped using Affymetrix Genome-Wide CHB Array in sample II. Single marker and gene-based association analyses were performed using PLINK. A combined p-value for the joining effects of all markers within a gene was calculated using the rank truncated product method. Multifactor dimensionality reduction (MDR) method was also applied to test gene-gene interactions in sample I. All markers were in Hardy-Weinberg equilibrium (P>0.001). In sample I, the associations with BD were observed for rs4774388 in RORA (OR = 1.53, empirical p-value, P = 0.024), and rs1327836 in RORB (OR = 1.75, P = 0.003). In Sample II, there were 45 SNPs showed associations with BD, and the most significant marker in RORA was rs11639084 (OR = 0.69, P = 0.002), and in RORB was rs17611535 (OR = 3.15, P = 0.027). A combined p-value of 1.6×10−6, 0.7, and 1.0 was obtained for RORA, RORB and NR1D1, respectively, indicting a strong association for RORA with the risk of developing BD. A four way interaction was found among markers in NR1D1, RORA, and RORB with the testing accuracy 53.25% and a cross-validation consistency of 8 out of 10. In sample II, 45 markers had empirical p-values less than 0.05. The most significant markers in RORA and RORB genes were rs11639084 (OR = 0.69, P = 0.002), and rs17611535 (OR = 3.15, P = 0.027), respectively. Gene-based association was significant for RORA gene (P = 0.0007). Our results support for the involvement of RORs genes in the risk of developing BD. Investigation of the functional properties of genes in the circadian pathway may further enhance our understanding about the pathogenesis of bipolar illness.