Medication and pharmacogenomic effects on cross-sectional symptom severity and cognitive ability in schizophrenia

Abstract

Background: People with schizophrenia differ in the type and severity of symptoms experienced, as well as their response to medication. A better understanding of the factors that influence this heterogeneity is necessary for the development of individualised patient care. Here, we sought to investigate the relationships between phenotypic severity and both medication and pharmacogenomic variables in a cross-sectional sample of people with schizophrenia or schizoaffective disorder depressed type. Methods: Confirmatory factor analysis derived five dimensions relating to current symptoms (positive symptoms, negative symptoms of diminished expressivity, negative symptoms of reduced motivation and pleasure, depression and suicide) and cognitive ability in participants prescribed with antipsychotic medication. Linear models were fit to test for associations between medication and pharmacogenomic variables with dimension scores in the full sample (N = 585), and in a sub-sample of participants prescribed clozapine (N = 215). Outcomes: Lower cognitive ability was associated with higher chlorpromazine-equivalent daily antipsychotic dose and with the prescription of clozapine and anticholinergic medication. We also found associations between pharmacogenomics-inferred cytochrome P450 (CYP) enzyme activity and symptom dimensions. Increased genotype-predicted CYP2C19 and CYP3A5 activity were associated with reduced severity of positive and negative symptoms, respectively. Faster predicted CYP1A2 activity was associated with higher cognitive dimension scores in people taking clozapine. Interpretation: Our results confirm the importance of taking account of medication history (and particularly antipsychotic type and dose) in assessing potential causes of cognitive impairment or poor functioning in patients with schizophrenia. We also highlight the potential for pharmacogenomic variation to be a useful tool to help guide drug prescription, although these findings require further validation.