Simultaneous determination of fluoxetine, venlafaxine, vortioxetine and their active metabolites in human plasma by LC-MS/MS using one-step sample preparation procedure.

The aim of antidepressant therapy is to induce remission and prevent relapses of major depressive disorder with minimum adverse effects during the treatment. Due to high variability in metabolism, therapeutic drug monitoring is recommended as a useful tool for individualisation of the therapy. For this purpose, we have developed simple and sensitive ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method for quantification of fluoxetine (FLX), venlafaxine (VEN), vortioxetine (VTX) and their active metabolites norfluoxetine (NFLX) and O-desmethylvenlafaxine (ODV). After one-step extraction procedure using OSTRO plate, analytes were separated by gradient elution on Acquity UPLC BEH C18 (50 × 2.1 mm, 1.7 µm) column with runtime 4.2 min. The detection was done on a triple quadrupole tandem mass spectrometer by multiple reaction monitoring (MRM) mode with transitions at m/z 310.23 → 148.20 for FLX, m/z 296.23 → 134.20 for NFLX, m/z 278.31 → 121.13 for VEN, m/z 264.31 → 107.14 for ODV and m/z 299.19 → 150.05 for VTX using a positive electrospray ionisation interface. The method was successfully validated according to the European Medicine Agency guideline for the selectivity, linearity and lower limit of detection, precision and accuracy, matrix effect, extraction recovery, carryover, dilution integrity and stability over a concentration range of 1-300 ng/mL for FLX, NFLX, VEN, ODV and 0.2-100 ng/mL VTX. Extraction recovery for each analyte was > 80 %, and no significant matrix effects were observed. The developed method was employed for quantification of antidepressants in clinical samples from patients treated with either FLX, VEN, or VTX.

Simultaneous determination of deuterated vortioxetine and its major metabolite in human plasma by UPLC-MS/MS and application to a pharmacokinetic study in healthy volunteers.

JJH201501, a deuterated modification for multi-target antidepressant vortioxetine, is currently in phase I clinical trial. This study aimed to establish a sensitive and rapid UPLC-MS/MS method that was capable of simultaneously detecting JJH201501 and its major metabolite JJH201501-01 quantitatively in human plasma. The pretreatment was achieved by protein precipitation using 4-fold(v:v) acetonitrile with 5 ng/mL fluoxetine as internal standard precipitant. For method validation, the method was investigated in terms of the selectivity, inter- and intra-run precision and accuracy, carryover, matrix effect, extraction recovery and stability. The total running time was 3 min, and the retention time of JJH201501 and JJH201501-01 was 1.17 min and 1.05 min, respectively. The linear concentration range for JJH201501 and JJH201501-01 was 0.2 to 50 ng/mL and 0.4 to 100 ng/mL, respectively. The results showed that this method was in line with the guidelines for bioanalytical method proposed by FDA. In addition, the method was successfully applied to a plasma pharmacokinetic study of JJH201501 tablets in healthy volunteers which was part of the phase I trial.

QSAR Analysis of Multimodal Antidepressants Vortioxetine Analogs Using Physicochemical Descriptors and MLR Modeling.

BACKGROUND: Vortioxetine is a multimodal antidepressant drug with combined effects on SERT as an inhibitor, 5-HT1A as agonist and 5-HT3A as an antagonist. Series of vortioxetine analogs have been reported as multi antidepressant compounds and they block serotonin transport into the neuronal cells, activate the postsynaptic 5-HT1A receptors and eliminate the low activity of 5-HT3A receptors. OBJECTIVE: To explore the important properties of vortioxetine analogs involved in antidepressant activity by developing 2D QSAR models. METHODS: Selections of significant descriptors were performed by Least Absolute Shrinkage and Selection Operator (LASSO) method and, the Multiple Linear Regression (MLR) method and All Subsets and GA algorithm included in QSARINS software were used for generating QSAR models. Further, the virtual screening was performed based on bioactivity and structure similarity using the PubChem database. RESULTS: The four descriptor model of complementary information content (CIC2), solubility (bcutp3), mass (bcutm8) and partial charge in van der Waals surface area (PEOEVSA7) of the molecules is obtained for SERT inhibition with the significant statistics of R2= 0.69, RMSEtr= 0.44, R2 ext= 0.62 and CCCext= 0.78. For 5-HT1A agonist, the two descriptor model of molecular shape (Kappm3) and van der Waals volume of the atoms (bcutv11) with R2= 0.78, RMSEtr= 0.33, R2 ext = 0.83, and CCCext= 0.87 is established. The three descriptor model of information content (IC3), solubility (bcutp9) and electronegativity (GATSe5) of the molecules with R2= 0.61, RMSEtr= 0.34, R2 ext= 0.69 and CCCext= 0.72 is obtained for 5-HT3A antagonist. The antidepressant activities of 16 virtual screened compounds were predicted using the developed models. CONCLUSION: The developed QSAR models may be useful to predict antidepressant activity for the newly synthesized vortioxetine analogs.