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Simultaneous Determination of Methadone, Fluoxetine, Venlafaxine and Their Metabolites in Rat Plasma by UPLC–MS/MS for Drug Interaction Study

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Abstract

A sensitive and rapid ultra performance liquid chromatography–tandem mass spectrometry (UPLC–MS/MS) method was developed to determine methadone, EDDP, fluoxetine, norfluoxetine, venlafaxine and O-desmethylvenlafaxine in rat plasma using diazepam as the internal standard (IS). Sample preparation was accomplished through a simple one-step protein precipitation with 200 µL acetonitrile added to 100 µL rat plasma. The analytes were separated on an Acquity UPLC BEH C18 column (2.1 × 50 mm, 1.7 µm) and the mobile phase was acetonitrile and 0.1 % formic acid in water in gradient elution at a flow rate of 0.40 mL min−1. The detection was performed on a triple quadrupole tandem mass spectrometer equipped with positive electrospray ionization (ESI) by multiple reactions monitoring (MRM) of the transitions. The linearity of this method was found to be within the concentration range of 0.5–250.0 ng mL−1 for methadone, EDDP, fluoxetine and norfluoxetine and 0.4–200.0 ng mL−1 for venlafaxine and O-desmethylvenlafaxine, respectively. The limit of quantification (LOQ) was 0.5 ng mL−1 for methadone, EDDP, fluoxetine and norfluoxetine and 0.4 ng mL−1 for venlafaxine and O-desmethylvenlafaxine, respectively. A time period of 3 min was needed for an analytical run. The method described above was successfully applied to the subsequent pharmacokinetic study.

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References

  1. Brogly SB, Saia KA, Walley AY, Du HM, Sebastiani P (2014) Am J Epidemiol 180:673–686. doi:10.1093/aje/kwu190

    Article  Google Scholar 

  2. Chou R, Cruciani RA, Fiellin DA, Compton P, Farrar JT, Haigney MC, Inturrisi C, Knight JR, Otis-Green S, Marcus SM, Mehta D, Meyer MC, Portenoy R, Savage S, Strain E, Walsh S, Zeltzer L (2014) J Pain 15:321–337. doi:10.1016/j.jpain.2014.01.494

    Article  CAS  Google Scholar 

  3. Wang JS, DeVane CL (2003) Drug Metab Dispos 31:742–747

    Article  CAS  Google Scholar 

  4. Lu WJ, Bies R, Kamden LK, Desta Z, Flockhart DA (2010) Drug Metab Dispos 38:1308–1313. doi:10.1124/dmd.110.032474

    Article  CAS  Google Scholar 

  5. Magalhaes P, Alves G, Llerena A, Falcao A (2014) Drug Metabol Drug Interact 29:129–141. doi:10.1515/dmdi-2013-0053

    Article  CAS  Google Scholar 

  6. Murrell MD, Cruz DA, Javors MA, Thompson PM (2014) J Forensic Sci 59:683–689. doi:10.1111/1556-4029.12393

    Article  CAS  Google Scholar 

  7. Margolis JM, O’Donnell JP, Mankowski DC, Ekins S, Obach RS (2000) Drug Metab Dispos 28:1187–1191

    CAS  Google Scholar 

  8. Emery PC, Wilson KG, Kowal J (2014) Major depressive disorder and sleep disturbance in patients with chronic pain. Pain Res Manag 19(1):35–41

    Article  Google Scholar 

  9. Hirsh AT, Hollingshead NA, Bair MJ, Matthias MS, Kroenke K (2014) Clin J Pain 30:766–774. doi:10.1097/ajp.0000000000000035

    Article  Google Scholar 

  10. Martinez TT, Martinez DN (2008) Proc West Pharmacol Soc 51:42–44

    Google Scholar 

  11. Lee J, Franz L, Goforth HW (2009) Psychosomatics 50:638–639. doi:10.1176/appi.psy.50.6.638

    Article  Google Scholar 

  12. Bonde SL, Bhadane RP, Gaikwad A, Gavali SR, Katale DU, Narendiran AS (2014) J Pharm Biomed Anal 90:64–71. doi:10.1016/j.jpba.2013.10.033

    Article  CAS  Google Scholar 

  13. Houbart V, Servais AC, Charlier TD, Pawluski JL, Abts F, Fillet M (2012) Electrophoresis 33:3370–3379. doi:10.1002/elps.201200168

    Article  CAS  Google Scholar 

  14. Berm EJ, Brummel-Mulder E, Paardekooper J, Hak E, Wilffert B, Maring JG (2014) Anal Bioanal Chem 406:2349–2353. doi:10.1007/s00216-014-7619-9

    Article  CAS  Google Scholar 

  15. Odoardi S, Anzillotti L, Strano-Rossi S (2014) Forensic Sci Int 243:61–67. doi:10.1016/j.forsciint.2014.04.015

    Article  CAS  Google Scholar 

  16. Koster RA, Alffenaar JW, Greijdanus B, VanDernagel JE, Uges DR (2014) Ther Drug Monit 36:234–243. doi:10.1097/FTD.0b013e3182a377e8

    Article  CAS  Google Scholar 

  17. Tang MH, Ching CK, Lee CY, Lam YH, Mak TW (2014) J Chromatogr B Analyt Technol Biomed Life Sci 969:272–284. doi:10.1016/j.jchromb.2014.08.033

    Article  CAS  Google Scholar 

  18. Imbert L, Dulaurent S, Mercerolle M, Morichon J, Lachatre G, Gaulier JM (2014) Forensic Sci Int 234:132–138. doi:10.1016/j.forsciint.2013.11.004

    Article  CAS  Google Scholar 

  19. Scheidweiler KB, Huestis MA (2014) J Chromatogr A 1327:105–117. doi:10.1016/j.chroma.2013.12.067

    Article  CAS  Google Scholar 

  20. Kiss B, Bogdan C, Pop A, Loghin F (2012) Talanta 99:649–659. doi:10.1016/j.talanta.2012.06.070

    Article  CAS  Google Scholar 

  21. de Castro A, Concheiro M, Quintela O, Cruz A, Lopez-Rivadulla M (2008) J Pharm Biomed Anal 48:183–193. doi:10.1016/j.jpba.2008.05.024

    Article  Google Scholar 

  22. Patel BN, Sharma N, Sanyal M, Shrivastav PS (2008) J Pharm Biomed Anal 47:603–611. doi:10.1016/j.jpba.2008.02.015

    Article  CAS  Google Scholar 

  23. Sutherland FC, Badenhorst D, de Jager AD, Scanes T, Hundt HK, Swart KJ, Hundt AF (2001) J Chromatogr A 914:45–51

    Article  CAS  Google Scholar 

  24. Bhatt J, Jangid A, Venkatesh G, Subbaiah G, Singh S (2005) J Chromatogr B, Anal Technol Biomed Life Sci 829:75–81. doi:10.1016/j.jchromb.2005.09.034

    Article  CAS  Google Scholar 

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Acknowledgments

This work was supported by the Ministry of Health of the People’s Republic of China (201302008).

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Correspondence to Guo-Xin Hu.

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The authors report no conflicts of interest.

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P.-P. Pan and S.-H. Wang contributed equally to this work.

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Pan, PP., Wang, SH., Wang, J. et al. Simultaneous Determination of Methadone, Fluoxetine, Venlafaxine and Their Metabolites in Rat Plasma by UPLC–MS/MS for Drug Interaction Study. Chromatographia 79, 601–608 (2016). https://doi.org/10.1007/s10337-016-3062-8

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