Genetic variation in cytochrome enzymes is known to affect drug metabolism and influence treatment response. Recently, the rs472660 variant in CYP3A43 has been associated with olanzapine response and clearance. In this study, we investigated the impact of rs472660 and the putatively functional marker rs680055 on antipsychotic response. We genotyped the rs472660 and rs680055 single nucleotide polymorphisms (SNPs) in N = 152 schizophrenia patients of European descent collected at two sample sites who were predominately treated with second generation antipsychotics for up to 6 months. Treatment response was assessed prospectively using Brief Psychiatric Rating Scale (BPRS) scores. Statistical analysis was performed using Chi square and analysis of covariance. The rs680055 SNP was significantly associated with treatment response. Carriers of the minor allele had significantly lower BPRS scores at study end (p = 5.9 × 10(-4)) with 8 % of the variance being explained by rs680055 genotype. Post hoc analyses revealed that this effect was present in both samples and in both genders. The rs472660 SNP was also associated with response (p = 0.027); however, this finding was not significant after multiple test correction. This is the first evidence that the rs680055 missense mutation influences antipsychotic response. Although our finding for rs472660 was only a non-significant trend after correction, our results still support the notion that this SNP may play a role in antipsychotic response. Despite the fact that the functional role of CYP3A43 in antipsychotic metabolism is not fully understood yet, our study provides an important contribution to understanding genetic factors of antipsychotic response.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00702-014-1298-8 | DOI Listing |
Cureus
December 2024
Psychiatry, Dr. Kamal Psychiatric Hospital, Bethlehem, PSE.
Dissociation is a cognitive process that disrupts consciousness, identity, or memory. It is frequently used as a form of defense in response to significant stress or trauma. In serious situations, it might show as a dissociative disorder, which extremely impairs psychological functioning.
View Article and Find Full Text PDFMicrosyst Nanoeng
January 2025
Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, 518000, Shenzhen, China.
Advancements in screening technologies employing small organisms have enabled deep profiling of compounds in vivo. However, current strategies for phenotyping of behaving animals, such as zebrafish, typically involve tedious manipulations. Here, we develop and validate a fully automated in vivo screening system (AISS) that integrates microfluidic technology and computer-vision-based control methods to enable rapid evaluation of biological responses of non-anesthetized zebrafish to molecular gradients.
View Article and Find Full Text PDFJ Med Econ
January 2025
AbbVie, North Chicago, IL, USA.
Aim: Inadequate response to antidepressant therapy (ADT) is common in major depressive disorder (MDD); atypical antipsychotic (AA) adjunctive therapy may be effective for these patients. This study aimed to compare healthcare resource utilization (HRU) and costs between patients initiating the AA cariprazine as their first adjunctive therapy vs those initiating cariprazine subsequently.
Methods: The Merative MarketScan® Commercial Database (January 1, 2015, to June 30, 2021) was used to identify US adults with MDD and ≥1 pharmacy claim for cariprazine adjunctive to ADT in 2018 or after.
Front Psychiatry
January 2025
Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.
The application of personalized medicine in patients with first-episode psychosis (FEP) requires tools for classifying patients according to their response to treatment, considering both treatment efficacy and toxicity. However, several limitations have hindered its translation into clinical practice. Here, we describe the rationale, aims and methodology of (the FarmaPRED-PEP project), which aims to develop and validate predictive algorithms to classify FEP patients according to their response to antipsychotics, thereby allowing the most appropriate treatment strategy to be selected.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!