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Sharma MK, Pandey K, Shah RP, Kumar D, Sengupta P. A mechanistic explanation on degradation behavior of flibanserin for identification and characterization of its potential degradants using LC-DAD/ESI/APCI-Q-TOF-MS/MS. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106281] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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An innovative impurity profiling of Avanafil using LC and LC-MS/MS with in-silico toxicity prediction. ARAB J CHEM 2020. [DOI: 10.1016/j.arabjc.2020.06.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Patel M, Kothari C. Comprehensive stability-indicating method development of Avanafil Phosphodiesterase type 5 inhibitor using advanced Quality-by-Design approach. J Anal Sci Technol 2020. [DOI: 10.1186/s40543-020-00228-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
AbstractAvanafil (AV) is the phosphodiesterase (PDE) type 5 inhibitor drug used in erectile dysfunction, having pyrrolidine, pyrimidine, carboxamide, and chlorine as functional groups which can easily break by environmental changes and cause toxicity. Henceforth, in detail, HPLC stability study with the Quality-by-Design (QbD) approach is presented which leads to recommended storage conditions. The stability of AV was analyzed in hydrolysis, photolysis, and thermal and oxidative conditions. The application of the QbD approach during the stability method development comprises steps as screening and optimization. Quality target product profile (QTPP) was defined, and critical quality attributes (CQAs) were assigned to meet the QTPP requirements. Primary parameters obtained from the Ishikawa diagram were studied via Placket–Burman, and four critical factors were optimized through the central composite design (CCD). The finalized method includes mobile phase [10 mM ammonium acetate, pH 4.5 adjusted by acetic acid:ACN (60:40, v/v)] at 0.9-mL/min flow rate and 239-nm wavelength. A control strategy was set up to ensure that the method repeatedly meets the acceptance criteria. Overall, 16 degradation product peaks of AV in all conditions (solid and solution state) were identified with optimized method and evaluated by HPLC-PDA study. A comprehensive systemic optimization of AV stability study is stated for the first time, which reveals that AV is prone to degrade in sunlight, moisture, and temperature. Global regulators and manufacturers should take care of the packaging, handling, and labeling of AV. A fully validated LC–MS compatible stability method can be successfully applied to monitor AV stability from its formulation which can be wisely extrapolated to assess the AV from biological samples.
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Bandu R, Lee HJ, Lee HM, Ha TH, Lee HJ, Kim SJ, Ha K, Kim KP. Liquid chromatography/mass spectrometry-based plasma metabolic profiling study of escitalopram in subjects with major depressive disorder. JOURNAL OF MASS SPECTROMETRY : JMS 2018; 53:385-399. [PMID: 29448310 DOI: 10.1002/jms.4070] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 01/29/2018] [Accepted: 02/03/2018] [Indexed: 06/08/2023]
Abstract
Liquid chromatography-mass spectrometry (LC-MS) method revealed the plasma metabolite profiles in major depressive disorder patients treated with escitalopram (ECTP) (n = 7). Depression severity was assessed according to the 17-item Hamilton Depression Rating Scale. Metabolic profiles were derived from major depressive disorder subject blood samples collected after ECTP treatment. Blood plasma was separated and processed in order to effectively extract metabolites, which were then analyzed using LC-MS. We identified 19 metabolites and elucidated their structures using LC-tandem MS (LC-MS/MS) combined with elemental compositions derived from accurate mass measurements. We further used online H/D exchange experiments to verify the structural elucidations of each metabolite. Identifying molecular metabolites may provide critical insights into the pharmacological and clinical effects of ECTP treatment and may also provide useful information informing the development of new antidepressant treatments. These detailed plasma metabolite analyses may also be used to identify optimal dose concentrations in psychopharmacotherapeutic treatment through drug monitoring, as well as forming the basis for response predictions in depressed subjects.
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Affiliation(s)
- Raju Bandu
- Department of Applied Chemistry, Institute of Natural Science, Kyung Hee Medical Science Research Institute, College of Applied Science, Kyung Hee University, Yong-in, 17104, Republic of Korea
| | - Hyun Jeong Lee
- Mental Health Clinic, National Cancer Center, Goyang, Kyeonggi, 10408, Republic of Korea
| | - Hyeong Min Lee
- Department of Applied Chemistry, Institute of Natural Science, Kyung Hee Medical Science Research Institute, College of Applied Science, Kyung Hee University, Yong-in, 17104, Republic of Korea
| | - Tae Hyon Ha
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Kyeonggi, 13620, Republic of Korea
| | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, 02841, Republic of Korea
| | - Se Joo Kim
- Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University, College of Medicine, Seoul, 03722, Republic of Korea
| | - Kyooseob Ha
- Department of Psychiatry and Behavioral Neuroscience, Seoul National University College of Medicine, Seoul, 08826, Republic of Korea
| | - Kwang Pyo Kim
- Department of Applied Chemistry, Institute of Natural Science, Kyung Hee Medical Science Research Institute, College of Applied Science, Kyung Hee University, Yong-in, 17104, Republic of Korea
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