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• W2891285924 abstract "BioanalysisVol. 10, No. 18 CommentarySelectivity for quantitation of biomarkers using liquid chromatography and mass spectrometryNaidong Weng & Wenying JianNaidong Weng*Author for correspondence: E-mail Address: NWeng@its.jnj.com DMPK, Janssen Research & Development, Johnson & Johnson, 1400 McKean Road, Spring House, PA 19477, USASearch for more papers by this author & Wenying Jian DMPK, Janssen Research & Development, Johnson & Johnson, 1400 McKean Road, Spring House, PA 19477, USASearch for more papers by this authorPublished Online:10 Sep 2018https://doi.org/10.4155/bio-2018-0148AboutSectionsView ArticleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinkedInReddit View articleKeywords: bioanalysisbiomarkerLC–MSselectivityReferences1 Goodsaid F, Frueh F. Biomarker qualification pilot process at the US Food and Drug Administration. AAPS J. 9(1), E105–E108 (2007).Crossref, Medline, CAS, Google Scholar2 Timmerman P, Herling C, Stoellner D et al. European bioanalysis forum recommendation on method establishment and bioanalysis of biomarkers in support of drug development. Bioanalysis 4(15), 1883–1894 (2012).Link, CAS, Google Scholar3 Jenkins RG. Accuracy: a potential quandary in regulated bioanalysis of ‘endogenous’ analytes. Bioanalysis 8(23), 2393–2397 (2016).Link, CAS, Google Scholar4 Jian W, Edom RW, Weng N. Important considerations for quantitation of small-molecule biomarkers using LC–MS. Bioanalysis 4(20), 2431–2434 (2012).Link, CAS, Google Scholar5 US FDA. Bioanalytical Method Validation, Guidance for Industry (2018). http://www.fda.gov/downloads/Drugs/Guidance/ucm070107.pdf.Google Scholar6 Huang MQ, Lin W, Wang W, Zhang W, Lin ZJ, Weng N. Quantitation of P450 3A4 endogenous biomarker – 4beta-hydroxycholesterol – in human plasma using LC/ESI-MS/MS. Biomed. Chromatogr. 28(6), 794–801 (2014).Crossref, Medline, CAS, Google Scholar7 Jian W, Edom RW, Xue X, Huang MQ, Fourie A, Weng N. Quantitation of leukotriene B(4) in human sputum as a biomarker using UPLC–MS/MS. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 932, 59–65 (2013).Crossref, Medline, CAS, Google Scholar8 Neubert H, Fan YY, Fernandez Ocana M. Quantification of protein biomarkers in tissues: new capabilities with pellet digestion peptide immunoaffinity LC–MS/MS. Bioanalysis 8(15), 1551–1555 (2016).Link, CAS, Google Scholar9 Cox JM, Berna MJ, Jin Z et al. Characterization and quantification of oxyntomodulin in human and rat plasma using high-resolution accurate mass LC–MS. Bioanalysis 8(15), 1579–1595 (2016).Link, CAS, Google Scholar10 Ke Y, Labrie F. The importance of optimal extraction to insure the reliable MS-based assays of endogenous compounds. Bioanalysis 8(1), 39–41 (2016).Link, CAS, Google Scholar11 Zhu Y, Deng P, Zhong D. Derivatization methods for LC–MS analysis of endogenous compounds. Bioanalysis 7(19), 2557–2581 (2015).Link, CAS, Google Scholar12 Li AC, Chen YL, Junga H, Shou WZ, Jiang X, Weng N. Separation of nicotinic acid and six metabolites within 60 seconds using high-flow gradient chromatography on silica column with tandem mass spectrometric detection. Chromatographia 58(11–12), 723–731 (2003).CAS, Google Scholar13 Zhang G, Sexton DJ, Faucette RR, Qiu Y, Wu J. 2D-LC–MS/MS to measure cleaved high-molecular-weight kininogen in human plasma as a biomarker for C1-INH-HAE. Bioanalysis 9(19), 1477–1491 (2017).Link, CAS, Google Scholar14 Zhang G, Zhang Y, Fast DM, Lin Z, Steenwyk R. Ultra sensitive quantitation of endogenous oxytocin in rat and human plasma using a two-dimensional liquid chromatography-tandem mass spectrometry assay. Anal. Biochem. 416(1), 45–52 (2011).Crossref, Medline, CAS, Google Scholar15 Weng N, Huang MQ, Lin ZJ. Conference report: current bioanalytical topics from the ASMS conference 2011. Bioanalysis 3(18), 2065–2073 (2011).Link, CAS, Google Scholar16 Chen Z, Coy SL, Pannkuk EL et al. Rapid and high-throughput detection and quantitation of radiation biomarkers in human and nonhuman primates by differential mobility spectrometry-mass spectrometry. J. Am. Soc. Mass Spectrom. 27(10), 1626–1636 (2016).Crossref, Medline, CAS, Google Scholar17 Jian W, Edom RW, Weng N, Zannikos P, Zhang Z, Wang H. Validation and application of an LC–MS/MS method for quantitation of three fatty acid ethanolamides as biomarkers for fatty acid hydrolase inhibition in human plasma. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 878(20), 1687–1699 (2010).Crossref, Medline, CAS, Google Scholar18 Ramanathan R, King-Ahmad AJ, Holliman CL, Rodrigues AD. A highly selective and sensitive LC–MS/HRMS assay for quantifying coproporphyrins as organic anion-transporting peptide biomarkers. Bioanalysis 9(22), 1787–1806 (2017).Link, CAS, Google Scholar19 Wang Q, Zhang S, Guo L et al. Serum apolipoprotein A-1 quantification by LC–MS with a SILAC internal standard reveals reduced levels in smokers. Bioanalysis 7(22), 2895–2911 (2015).Link, CAS, Google Scholar20 Jian W, Edom RW, Wang D, Weng N, Zhang SW. Relative quantitation of glycoisoforms of intact apolipoprotein C3 in human plasma by liquid chromatography-high-resolution mass spectrometry. Anal. Chem. 85(5), 2867–2874 (2013).Crossref, Medline, CAS, Google ScholarFiguresReferencesRelatedDetailsCited ByStrategies for effective development of ultra-sensitive LC–MS/MS assays: application to a novel STING agonistKasie Fang & Hermes Licea-Perez28 April 2020 | Bioanalysis, Vol. 12, No. 7Bioanalysis of small and large molecule drugs, metabolites, and biomarkers by LC-MSApplication of mass spectrometry in silkworm research-Review8 January 2019 | Biomedical Chromatography, Vol. 33, No. 4 Vol. 10, No. 18 Follow us on social media for the latest updates Metrics Downloaded 198 times History Received 31 May 2018 Accepted 20 July 2018 Published online 10 September 2018 Published in print September 2018 Information© 2018 Newlands PressKeywordsbioanalysisbiomarkerLC–MSselectivityFinancial & competing interest disclosureThe authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.No writing assistance was utilized in the production of this manuscript.PDF download" @default.
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