Development of LC‐MS/MS determination method and backpropagation artificial neural networks pharmacokinetic model of febuxostat in healthy subjects.
What is known and objective: Febuxostat is a well‐known drug for treating hyperuricemia and gout. The published methods for determination of febuxostat in human plasma might be unsuitable for high‐throughput determination and widespread application. We need to develop a highly selective, sensitive a...
| Publicado en: | Journal of Clinical Pharmacy & Therapeutics Vol. 46; no. 2; pp. 333 - 343 |
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| Autores principales: | , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149308336&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 149308336 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02694727 EV4 jtl: Journal of Clinical Pharmacy & Therapeutics issn: 02694727 maglogo: Y pubinfo: dt: Apr2021 vid: 46 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 149308336 147009276 149308336 149308336 10.1111/jcpt.13285 149308336 ppf: 333 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Development of LC‐MS/MS determination method and backpropagation artificial neural networks pharmacokinetic model of febuxostat in healthy subjects. aug: au: Xu, Yichao Chen, Jinliang Yang, Dandan Hu, Yin Hu, Xinhua Jiang, Bo Ruan, Zourong Lou, Honggang affil: Center of Clinical Pharmacology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou Zhejiang, , China sug: subj: Chromatography, Liquid Methods Mass Spectrometry Methods Neural Networks (Computer) Thiazoles Pharmacokinetics Hyperuricemia Drug Therapy Gout Drug Therapy Thiazoles Blood Molecular Structure Human Acids, Acyclic Organic Chemicals Chromatography Descriptive Statistics Drug Monitoring ab: What is known and objective: Febuxostat is a well‐known drug for treating hyperuricemia and gout. The published methods for determination of febuxostat in human plasma might be unsuitable for high‐throughput determination and widespread application. We need to develop a highly selective, sensitive and rapid liquid chromatography‐tandem mass spectrometry method. Methods: The chromatographic separation was achieved on a Hypersil Gold‐C18 (2.1 mm × 100 mm, 1.9 μm) column with mobile phase A (Water containing 0.1% formic acid) and mobile phase B (acetonitrile containing 0.1% formic acid). Multiple reaction monitoring (MRM) mode was used for quantification using target ions at m/z 315.3 → m/z 271.3 for febuxostat and m/z 324.3 → m/z 280.3 for Febuxostat‐d9 (IS). A backpropagation artificial neural network (BPANN) pharmacokinetic model was constructed by the data of bioequivalence study. Results and Discussion: After the LC‐MS/MS method validated, it was successfully applied to the bioequivalence study of 30 human volunteers under fed condition. The predicted concentrations generated by BPANN model had a high correlation coefficient with experimental values. What is new and conclusion: A sensitive LC‐MS/MS method had been developed and validated for determination of febuxostat in healthy subjects under fed condition, and a BPANN model was developed that can be used to predict the plasma concentration of febuxostat. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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