ArticleDrug metabolism and disposition: the biological fate of chemicals2011
Small molecule quantification by liquid chromatography-mass spectrometry for metabolites of drugs and drug candidates.
Article in Drug metabolism and disposition: the biological fate of chemicals, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
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- In-Depth Analysis of the Data from an Interlaboratory Study of Quantitative Non-Target Screening-How Do the Instrumental Methods Compare?Molecules (Basel, Switzerland) · 2026Article
- Quantification Approaches in Non-Target LC/ESI/HRMS Analysis: An Interlaboratory Comparison.Analytical chemistry · 2024Article
- Pharmacokinetics of 7,8-dihydroxyflavone in neonatal mice with hypoxia-ischemia related brain injury.Frontiers in pharmacology · 2024Article
- Bypassing the Identification: MS2Quant for Concentration Estimations of Chemicals Detected with Nontarget LC-HRMS from MSAnalytical chemistry · 2023Article
- Immunosensor for Rapid and Sensitive Detection of Digoxin.ACS omega · 2023Article
- Adjustment of Matrix Effects in Analysis of 36 Secondary Metabolites of Microbial and Plant Origin in Indoor Floor Dust Using Liquid Chromatography-Tandem Mass Spectrometry.Buildings (Basel, Switzerland) · 2023Article
- Capture-SELEX: Selection Strategy, Aptamer Identification, and Biosensing Application.Biosensors · 2022Review
- A multidimensional metabolomics workflow to image biodistribution and evaluate pharmacodynamics in adult zebrafish.Disease models & mechanisms · 2022Article
- A Review on Differential Abundance Analysis Methods for Mass Spectrometry-Based Metabolomic Data.Metabolites · 2022Review
- Quantitative non-targeted analysis: Bridging the gap between contaminant discovery and risk characterization.Environment international · 2022Article
- Guide to Semi-Quantitative Non-Targeted Screening Using LC/ESI/HRMS.Molecules (Basel, Switzerland) · 2021Review
- Benchmarking of the quantification approaches for the non-targeted screening of micropollutants and their transformation products in groundwater.Analytical and bioanalytical chemistry · 2021Article
- Significance of Multiple Bioactivation Pathways for Meclofenamate as Revealed through Modeling and Reaction Kinetics.Drug metabolism and disposition: the biological fate of chemicals · 2021Article
- Case Study 2: Practical Analytical Considerations for Conducting In Vitro Enzyme Kinetic Studies.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Significance of Competing Metabolic Pathways for 5F-APINACA Based on Quantitative Kinetics.Molecules (Basel, Switzerland) · 2020Article
- Brain Permeable Tafamidis Amide Analogs for Stabilizing TTR and Reducing APP Cleavage.ACS medicinal chemistry letters · 2020Article
- Metabolomic Insights into Human Arboviral Infections: Dengue, Chikungunya, and Zika Viruses.Viruses · 2019Review
- New Perspectives on Acyl Glucuronide Risk Assessment in Drug Discovery: Investigation of In vitro Stability, In situ Reactivity, and Bioactivation.Drug metabolism letters · 2018Article
- ecoAO: A Simple System for the Study of Human Aldehyde Oxidases Role in Drug Metabolism.ACS omega · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Identification and quantification of the metabolites of drugs and drug candidates are routinely performed using liquid chromatography-mass spectrometry (LC-MS). The best practice is to generate a standard curve with the metabolite versus the internal standard. However, to avoid the difficulties in metabolite synthesis, standard curves are sometimes prepared using the substrate, assuming that the signal for substrate and the metabolite will be equivalent. We have tested the errors associated with this assumption using a series of very similar compounds that undergo common metabolic reactions using both conventional flow electrospray ionization LC-MS and low-flow captive spray ionization (CSI) LC-MS. The differences in standard curves for four different types of transformations (O-demethylation, N-demethylation, aromatic hydroxylation, and benzylic hydroxylation) are presented. The results demonstrate that the signals of the substrates compared with those of the metabolites are statistically different in 18 of the 20 substrate-metabolite combinations for both methods. The ratio of the slopes of the standard curves varied up to 4-fold but was slightly less for the CSI method.
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