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1.
Front Pharmacol ; 15: 1423075, 2024.
Article in English | MEDLINE | ID: mdl-39045047

ABSTRACT

Background: Atypical antipsychotics (AAPs)-induced sexual dysfunction (SD) is a frequent issue in clinical practice, often underestimated by clinicians and not extensively researched. The current study aimed to quantify the strength of association between the use of different AAPs and SD using real-world data from the FDA Adverse Event Reporting System (FAERS), as well as investigate the receptor mechanisms that are involved. Methods: Data from the FAERS database from the first quarter of 2004 to the third quarter of 2023 were queried through OpenVigil 2.1. Disproportionality analysis was estimated using the reporting odds ratio (ROR) and information component (IC) methods, and linear regression was used to investigate the relationship between ROR and receptor occupancy which was estimated using in vitro receptor binding profiles. Results: Our analysis yielded 4839 reports that co-mentioned AAP and SD events, and the findings revealed statistical associations between 12 AAPs and SD. The highest signal value was identified for iloperidone reporting retrograde ejaculation with iloperidone (ROR = 832.09, ROR025 = 552.77; IC = 9.58, IC025 = 6.36), followed by compulsive sexual behavior with aripiprazole (ROR = 533.02, ROR025 = 435.90; IC = 7.30, IC025 = 5.97), and psychosexual disorder for aripiprazole (ROR = 145.80, ROR025 = 109.57; IC025 = 6.47, IC025 = 4.86). Different characteristics of the SD side effects in each AAPs were discovered after further data mining. Regression analysis revealed potential effects for receptor occupancy of D2, D3, and 5-HT1A receptors on ROR. However, no significant correlation persisted following sensitivity analyses. Conclusion: This is the first study to investigate the AAP-SD associations by using FAERS. In this study, we report for the first time a significant association between aripiprazole and SD based on real-world data. The study suggests that different AAPs have varying levels of association with SD, and the D2, D3, and 5-HT1A receptor occupancy may contribute to potential mechanisms. The findings of this study warrant further validation of more studies and clinical causality assessment.

2.
Front Psychiatry ; 12: 717999, 2021.
Article in English | MEDLINE | ID: mdl-34630180

ABSTRACT

Background: Obsessive-compulsive disorder (OCD) is a common chronic mental disorder with a high disability rate. Serotonin reuptake inhibitors (SRIs), including selective serotonin reuptake inhibitors (SSRIs) and tricyclic antidepressants, such as clomipramine, are the most common choices for the pharmacological treatment of OCD. Optimizing their use is pivotal in guiding clinical practice of OCD. However, there are few studies on the optimal dose of SRIs and there is controversy about their dose-response relationship and optimal target dose. Therefore, the objective of this study was to summarize the relationship between the dose and effect of SRIs, as well as the optimal dose of SRIs for OCD, as to propose future research directions. Methods: Medline, Embase, Biosis, PsycINFO, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, and CINAHL were searched for relevant publications, and the search was up to February 22, 2020. We used a one-stage, robust error meta-regression (REMR) model to deal with the correlated dose-response data for SRIs from different studies. Doses of SRIs were converted to fluoxetine equivalents when performing dose-response analysis. Review Manager Program Version 5.3 and STATA software package (version 15.1) were applied to analyze data. The study protocol was registered with PROSPERO (number CRD42020168344). Results: Eleven studies involving 2,322 participants were included in final analysis. For SRIs, the dose-efficacy curve showed a gradual increase trend in the 0-40-mg dose range and then had a decreased trend in doses up to 100 mg fluoxetine equivalent. Dropouts due to adverse effects gradually increased throughout the inspected dose slope. The curve of dose of all-cause dropouts suggested no relationship between them. Sensitivity analysis proved that these results were robust. Conclusion: The systematic review found that the optimal dose for efficacy was about 40mg fluoxetine equivalent. Tolerability decreased with increased doses, and there was no significant correlation between acceptability and doses of SRIs. Therefore, the optimal dose of SRIs needs to consider effectiveness and tolerability. Systematic Review Registration: [PROSPERO], identifier [CRD42020168344].

3.
Neurol Sci ; 42(7): 2705-2711, 2021 Jul.
Article in English | MEDLINE | ID: mdl-33914194

ABSTRACT

BACKGROUND: Previous studies have investigated the association between rs2304016 and rs17183814 polymorphisms in sodium voltage-gated channel alpha subunit 2 (SCN2A) and epilepsy risk and responsiveness to antiepileptic drugs (AEDs) but with conflicting results. Our aim was to reevaluate the relationship by performing a systematic review and meta-analysis. METHODS: By searching PubMed, Medline, and CNKI, 14 studies were selected. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were computed to measure the association between rs17183814 and rs2304016 polymorphisms and the risk of epilepsy and AEDs response using the fixed-effects model or the random-effects model. RESULTS: No significant association between the rs17183814 in SCN2A and the risk of epilepsy was observed (heterozygous comparison: OR = 0.78, 95% CI: 0.61-1.00; homozygous comparison: OR = 1.34, 95% CI: 0.63-2.86; dominant model: OR = 0.82, 95% CI: 0.64-1.04; recessive model: OR = 1.44, 95% CI: 0.68-3.05; allele comparison: OR = 0.88, 95%CI: 0.71-1.10). Moreover, neither the rs17183814 nor the rs2304016 was associated with AEDs response. CONCLUSION: This meta-analysis suggests that the rs17183814 and rs2304016 polymorphisms in SCN2A are not associated with the risk of epilepsy and response to AEDs.


Subject(s)
Anticonvulsants , Epilepsy , Alleles , Anticonvulsants/therapeutic use , Epilepsy/drug therapy , Epilepsy/genetics , Genetic Predisposition to Disease , Humans , NAV1.2 Voltage-Gated Sodium Channel/genetics , Polymorphism, Single Nucleotide
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