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A hypothesis-driven association study of 28 nuclear-encoded mitochondrial genes with antipsychotic-induced weight gain in schizophrenia.

ABSTRACT: Mitochondria are the main source of energy for neurons and have a role in many vital neuronal functions. Mitochondrial dysfunction has been described in schizophrenia, and antipsychotics such as clozapine and olanzapine have been associated with differences in gene expression in mitochondria. We investigated the hypothesis that nuclear-encoded mitochondrial genes, particularly those involved in oxidative phosphorylation or involved in oxidative stress, mitochondrial biogenesis, inflammation, and apoptosis, would be associated with antipsychotic-induced weight gain (AIWG). In total, we selected 28 genes and analyzed 60 SNPs (50 are functional), in 283 schizophrenia subjects, treated with atypical medications for up to 14 weeks. Association between AIWG (as measured by the % of weight gain from baseline) and SNP genotypes were tested using linear regression with treatment duration, baseline body weight, and medication type as covariates. We observed a significant association between rs6435326 in the NDUFS1 gene and AIWG in the subset of European patients (N=150, Pcorrected=0.02). The haplotype carrying the risk alleles of rs6435326 and two other SNPs (rs1053517 and rs1801318) in NDUFS1 was also nominally associated with percentage of weight gain (T-C-G vs A-T-A, P=0.005). In addition, stepwise linear regression was performed to select important variables predictive of the outcome, and a gene-gene interaction analysis was carried out. We observed a significant interaction between the TT risk genotype of rs6435326 in NDUFS1 and AG genotype of rs3762883 in COX18 (Pcorrected=0.001). A permutation-based test of all 60 SNPs jointly showed significant association with weight gain (P=0.02). Finally, our replication study of rs6435326, rs1053517 and rs1801318 in NDUFS1 using samples from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) showed that rs1801318 was significantly associated with AIWG (N=200, Pcorrected=0.04), and the three SNPs were collectively associated with AIWG (P=0.04). In conclusion, our findings suggest an association between NDUFS1 and AIWG in schizophrenia subjects. To the best of our knowledge, this is the first study to explore genetic variation in the mitochondrial genes in the context of AIWG.

SUBMITTER: Goncalves VF

PROVIDER: S-EPMC3988538 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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Project description:BackgroundAntipsychotic-related weight gain is a common clinically relevant side effect when treating psychotic disorders in pediatric populations, yet few predictors and no moderators of antipsychotic-related weight gain are known.MethodsThe Treatment of Early-Onset Schizophrenia Spectrum Disorders (TEOSS) study randomized 119 youths (age 8-19 years) with schizophrenia or schizoaffective disorder to 8 weeks of antipsychotic treatment with molindone, risperidone, or olanzapine and assessed treatment response and side effects. In this secondary analysis, we used multivariable linear regression and receiver operating characteristic analysis to investigate predictors and moderators of weight change and percent weight change from baseline to week 8.ResultsTreatment assignment was the most discriminant predictor of weight change [F(2, 66) = 17.00, p < 0.001] and percent weight change [F(2, 66) = 16.85, p < 0.001]. Mean weight gain was 0.74 (standard deviation ±3.51) kg for molindone, 4.13 ± 3.79 kg for risperidone, and 7.29 ± 3.44 kg for olanzapine. After adjusting for treatment assignment, lower pretreatment hemoglobin A1C (HgbA1C) predicted more weight gain [F(1, 55) = 4.71, p = 0.03]. Diagnosis (schizoaffective vs. schizophrenia) moderated weight change [F(2, 63) = 6.02, p = 0.004] and percent weight change [F(2, 63) = 5.26, p = 0.008] such that schizoaffective diagnosis predicted larger weight gain for youths in the risperidone treatment arm. Age, sex, family income, baseline weight, and symptoms neither predicted nor moderated weight change or percent weight change.ConclusionWe identified prognostic subgroups and novel risk factors for antipsychotic-related weight gain. We confirmed that antipsychotic choice is extremely important for predicting future weight gain. We also found that younger age did not predict greater weight gain, in contrast to prior studies. Our findings require replication in an independent sample because we did not adjust for multiple comparisons to minimize false negatives. ClinicalTrials.gov Identifier: NCT00053703.

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A hypothesis-driven association study of 28 nuclear-encoded mitochondrial genes with antipsychotic-induced weight gain in schizophrenia.

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