Into a Deeper Understanding of CYP2D6's Role in Risperidone Monotherapy and the Potential Side Effects in Schizophrenia Spectrum Disorders.
Mariana BondrescuLiana DeheleanSimona FarcasPatricia Alexandra DraganCarla Andreea PodaruLaura PopaNicoleta Ioana AndreescuPublished in: International journal of molecular sciences (2024)
Schizophrenia spectrum disorders (SSD) are a group of diseases characterized by one or more abnormal features in perception, thought processing and behavior. Patients suffering from SSD are at risk of developing life-threatening complications. Pharmacogenetic studies have shown promising results on personalized treatment of psychosis. In the current study, 103 patients diagnosed with SSD treated with risperidone as antipsychotic monotherapy were enrolled. Socio-demographics and clinical data were recorded, and laboratory tests and genotyping standard procedure for cytochrome P450 (CYP) 2D6*4 were performed. Patients were evaluated by the Positive and Negative Syndrome Scale (PANSS) on admission and at discharge. Based on the reduction in the PANSS total score, subjects were divided into non-responders, partial responders and full responders. Only 11 subjects had a full response to risperidone (10.67%), 53 subjects (51.45%) had a partial response, and 39 participants (37.86%) were non-responders. Patients at first episode psychosis showed significantly higher levels of blood glucose and prolactin levels, while chronic patients showed significantly higher LDL levels. Adverse drug reactions (ADR) such as tremor and stiffness significantly correlated with genetic phenotypes ( p = 0.0145). While CYP2D6 showed no impact on treatment response, ADR were significantly more frequent among poor and intermediate metabolizers.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- blood glucose
- adverse drug
- prognostic factors
- bipolar disorder
- emergency department
- clinical trial
- randomized controlled trial
- metabolic syndrome
- minimally invasive
- gene expression
- climate change
- patient reported outcomes
- machine learning
- genome wide
- risk assessment
- artificial intelligence
- deep brain stimulation
- high throughput
- big data
- glycemic control
- smoking cessation