1999
DOI: 10.1002/(sici)1096-9888(199911)34:11<1185::aid-jms879>3.0.co;2-r
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Structure elucidation of three isomeric metabolites of SYN-2836, a novel antifungal agent, in dogs via liquid chromatography/mass spectrometry and liquid chromatography/tandem mass spectrometry methodologies

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Cited by 15 publications
(17 citation statements)
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“…However, this process is usually complicated, especially for drugs undergoing extensive metabolism. In this study, SYN‐2836 metabolites were identified using various correlative strategies18 outlined as follows: (1) generation of product ion mass spectra of precursor ions preselected as possible metabolites; (2) selection of SYN‐2836‐related [M + H] + ions and elimination of non‐drug‐related species, based on the premise that metabolites of a drug preserve some of the substructures of the parent compound and therefore form some characteristic product ions corresponding to these substructures; (3) structure prediction of possible metabolites in terms of known biotransformation pathways; (4) preassignment of the predicted structures to the selected [M + H] + ions based on their equivalence in molecular weights; (5) acceptance or rejection of the preassigned metabolite structures by interpretation of their product ion spectra; (6) structure postulation of SYN‐2836‐related [M + H] + ions without predicted structures by mass spectral interpretation guided by knowledge of related substructures and known metabolites; and (7) structure postulation of metabolites formed by complex or irregular metabolic reactions using complementary approaches. In addition, correlation analysis of product ion mass spectra and chromatographic behavior between corresponding metabolites of SYN‐2836 and SYN‐2869,18 providing a radiolabel‐like tracking, as well as the nitrogen rule,20 were also employed for the identification of the selected SYN‐2836 metabolites.…”
Section: Resultsmentioning
confidence: 99%
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“…However, this process is usually complicated, especially for drugs undergoing extensive metabolism. In this study, SYN‐2836 metabolites were identified using various correlative strategies18 outlined as follows: (1) generation of product ion mass spectra of precursor ions preselected as possible metabolites; (2) selection of SYN‐2836‐related [M + H] + ions and elimination of non‐drug‐related species, based on the premise that metabolites of a drug preserve some of the substructures of the parent compound and therefore form some characteristic product ions corresponding to these substructures; (3) structure prediction of possible metabolites in terms of known biotransformation pathways; (4) preassignment of the predicted structures to the selected [M + H] + ions based on their equivalence in molecular weights; (5) acceptance or rejection of the preassigned metabolite structures by interpretation of their product ion spectra; (6) structure postulation of SYN‐2836‐related [M + H] + ions without predicted structures by mass spectral interpretation guided by knowledge of related substructures and known metabolites; and (7) structure postulation of metabolites formed by complex or irregular metabolic reactions using complementary approaches. In addition, correlation analysis of product ion mass spectra and chromatographic behavior between corresponding metabolites of SYN‐2836 and SYN‐2869,18 providing a radiolabel‐like tracking, as well as the nitrogen rule,20 were also employed for the identification of the selected SYN‐2836 metabolites.…”
Section: Resultsmentioning
confidence: 99%
“…It has been observed that this agent undergoes extensive metabolism in beagle dogs following oral administration 16. Previously, three isomeric metabolites (M3, M4 and M5), and their two precursor metabolites (M1 and M2) of SYN‐2836, have been identified using LC/MS/MS methodologies 18. As a continuation, this report presents the structural elucidation of other SYN‐2836 metabolites.…”
mentioning
confidence: 75%
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“…This information can be obtained from databases based on published in vitro and in vivo biotransformation routes of compounds [90]. Zhang et al, [38] developed a rapid method for metabolite identification using Time-of Flight (TOF) LC-MS. Ferna'ndez-Metzler et al, [39] and Lim et al [40], Bu et al, [41] used fast LC-MS and LC-MS-MS, respectively, to identify metabolites. van Breemen et al [42] developed a HTS pulsed ultrafiltration mass spectrometry method for the in vitro formation and characterization of microsomal drug metabolites.…”
Section: Metabolite Identificationmentioning
confidence: 99%