Escitalopram (ESC), a selective serotonin reuptake inhibitor indicated for the treatment of depression and anxiety disorders, is primarily metabolized by cytochrome P450 (CYP) 2C19, which is a highly polymorphic enzyme known to cause inter-individual differences in pharmacokinetics. We hypothesized that CYP2C19 polymorphisms are associated with major depressive disorder (MDD) remission in patients treated with ESC in the long term. Thirty-one patients with MDD receiving chronic treatment with ESC monotherapy or combination therapy with other antidepressants (mirtazapine and bupropion), in naturalistic conditions, were included in the study. For comparison of genotype and phenotype frequencies, a group of 126 healthy subjects was also included. The CYP2C19∗2, CYP2C19∗3, and CYP2C19∗17 polymorphisms were analyzed by RFLP-PCR genotyping. The CYP2C19 genotypes and phenotypes were similar in patient and healthy subject groups. Four phenotypes were found in the healthy subject group: ultra-rapid (UM; 28%), extensive (EM; 52%), intermediate (IM; 17%), and poor metabolizers (PM; 3%). The patient group showed the UM (22.5%), EM (55%), and IM (22.5%) phenotypes. The UM patients had significantly higher ESC doses than both EM and IM patients (20.7 ± 4.5, 15.7 ± 3.8, and 14.0 ± 3.3 mg/day, respectively; p = 0.0041). Furthermore, all patients using ESC in combination with mirtazapine or bupropion antidepressants (ESC plus mirtazapine or bupropion) were UM metabolizers, suggesting that the ∗17 ultra-rapid allele seems to be the factor responsible for lower response to ESC, even at higher doses. The CYP2C19 UM phenotype is associated with higher ESC doses and antidepressant combinations for symptom remission in MDD patients.
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http://dx.doi.org/10.1016/j.heliyon.2020.e04015 | DOI Listing |
Cureus
December 2024
Ernest Mario School of Pharmacy, Rutgers University, Piscataway, USA.
Objective: Patients with major depressive disorder (MDD) often face poor health outcomes. Additionally, patients with multiple hospitalizations tend to have worse predicted disease prognosis. Antidepressant medications remain a first-line treatment option for MDD, but data evaluating the effects of different antidepressants on psychiatric readmission rates is lacking.
View Article and Find Full Text PDFJ Comp Eff Res
January 2025
Dorn Research Institute, Columbia VA Health Care System, Columbia, SC, USA.
To compare the safety and efficacy of antidepressants (AD) among older adults with major depressive disorder (MDD) by assessing treatment change, augmentation and hospitalization rates. This retrospective study analyzed data from the Veterans Affairs (VA) database, including 142,138 patients aged ≥60 years diagnosed with MDD. Patients prescribed bupropion, citalopram, duloxetine, escitalopram, fluoxetine, mirtazapine, paroxetine, sertraline, or venlafaxine were included.
View Article and Find Full Text PDFBMC Med
January 2025
Lurie Center for Autism, Massachusetts General Hospital, Lexington, MA, 02421, USA.
Background: The prevalence of autism spectrum disorder (ASD) has surged, with an estimated 1 in 36 eight-year-olds in the United States meeting criteria for ASD in 2020. Autistic individuals face elevated rates of co-occurring medical, psychiatric, and behavioral conditions compared to non-autistic individuals. The rising ASD-patient demand is increasingly outpacing the capacity of ASD-specialty clinics, resulting in urgent need for autism-competent providers in general practice settings.
View Article and Find Full Text PDFPsychiatry Clin Psychopharmacol
November 2024
Department of Psychiatry, Keimyung University School of Medicine, Daegu, Korea.
Background: The objective is to compare the risk of developing type 2 diabetes (T2D) within a year in patients prescribed various antidepressants (ADs) and those prescribed fluoxetine as a control group.
Methods: This study used standardized data from the Health Insurance Review and Assessment Service claims database (n=1,456,489). Patients aged ≥10 years with no previous use of ADs and no history of diabetes mellitus, regardless of whether they were diagnosed with any depressive disorder, were eligible for this study.
Addiction
November 2024
Center for Artificial Intelligence in Drug Discovery, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
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