Peer Reviewed: Isotopically Labeled Analogues for Drug Quantitation

Liu, Ray H.; Lin, Dongliang; Chang, Wei-Tung; Liu, Chiareiy; Tsay, Wen-Ing; Li, Jih-Heng; Kuo, Tsung-Li

doi:10.1021/ac022161m

Cited by 47 publications

(17 citation statements)

References 19 publications

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“…6 Identification and quantification of drugs and metabolites by LC/MS relies very much on stable isotope-labeled analogues. 7,8 Analytical procedures to determine both compounds, SU11248 and SU12662, in biological matrices, e.g. monkey blood samples, have been published.…”

Section: Marketed As Sutentmentioning

confidence: 99%

Synthesis of ²H‐ and ¹³C‐labelled sunitinib and its primary metabolite

Elsinghorst

Gütschow

2009

Labelled Comp Radiopharmac

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Section: Marketed As Sutentmentioning

confidence: 99%

Synthesis of ²H‐ and ¹³C‐labelled sunitinib and its primary metabolite

Elsinghorst

Gütschow

2009

Labelled Comp Radiopharmac

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“…This is generally called matrix effects (Birkemeyer et al, 2005). When analytes affect the measurements of ISs, the matrix effect is called cross-contribution (Liu et al, 2002), which is a serious problem for IS-based normalization. The severity of the problem is easily seen considering an analyte that is affected by the experimental design and in turn, via cross-contribution, causes the same signal to be visible in the IS.…”

Section: Normalizationmentioning

confidence: 99%

Data Integration, Metabolic Networks and Systems Biology

Redestig

Szymański

Hirai

et al. 2011

Annual Plant Reviews Volume 43

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As analytical techniques and data pre-processing methods continue to improve, the bottleneck of metabolomics is shifting towards later stages of data analysis and biological interpretation. High-coverage metabolomics is only possible when combining data from multiple platforms necessitating efficient methods for data integration. Metabolomic data sets with high coverage provide a unique opportunity to estimate and study metabolic networks. Once established, these networks can provide a backbone for systems biology approaches where the aim is to construct fundamental models of metabolic regulation. In this chapter, we provide an overview of status of these topics and describe current methods and tools, their drawbacks and advantages for integrative plant metabolomics.

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“…6 Identification and quantification of drugs and metabolites by liquid chromatography-mass spectrometry (LC-MS) relies largely on stable isotope-labeled analogs. 7,8 A renewed interest has been recently raised to develop a robust and validated LC-MS method to determine simvastatin in biological fluids. The preparation of the stable labeled version of the title compound with M + 6 was requested.…”

Section: Introductionmentioning

confidence: 99%