ArticleClinical pharmacology and therapeutics2019
Toward a Consensus on Applying Quantitative Liquid Chromatography-Tandem Mass Spectrometry Proteomics in Translational Pharmacology Research: A White Paper.
Article in Clinical pharmacology and therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed.
- Advancing Predictions of Oral Drug Absorption, CYP3A4 Induction, and Transporter-Mediated Interactions Using a Human Primary Intestinal 3D Model (EpiIntestinal™).Clinical pharmacology and therapeutics · 2025Article
- Subcellular mass spectrometric detection unveils hyperglycemic memory in the diabetic heart.Journal of diabetes · 2024Article
- Differential Tissue Abundance of Membrane-Bound Drug Metabolizing Enzymes and Transporter Proteins by Global Proteomics.Drug metabolism and disposition: the biological fate of chemicals · 2024Article
- Physiologically based pharmacokinetics modeling and transporter proteomics to predict systemic and local liver and muscle disposition of statins.CPT: pharmacometrics & systems pharmacology · 2024Article
- Membrane transporters in drug development and as determinants of precision medicine.Nature reviews. Drug discovery · 2024Review
- Toward improved predictions of pharmacokinetics of transported drugs in hepatic impairment: Insights from the extended clearance model.CPT: pharmacometrics & systems pharmacology · 2024Article
- Innovations, Opportunities, and Challenges for Predicting Alteration in Drug-Metabolizing Enzyme and Transporter Activity in Specific Populations.Drug metabolism and disposition: the biological fate of chemicals · 2023Article
- Intestinal Metabolism of Diclofenac by Polymorphic UGT2B17 Correlates with its Highly Variable Pharmacokinetics and Safety across Populations.Clinical pharmacology and therapeutics · 2023Article
- Considerations for Physiologically Based Modeling in Liver Disease: From Nonalcoholic Fatty Liver (NAFL) to Nonalcoholic Steatohepatitis (NASH).Clinical pharmacology and therapeutics · 2023Review
- Dimethandrolone, a Potential Male Contraceptive Pill, is Primarily Metabolized by the Highly Polymorphic UDP-Glucuronosyltransferase 2B17 Enzyme in Human Intestine and Liver.Drug metabolism and disposition: the biological fate of chemicals · 2022Article
- Human Hepatic Transporter Signature Peptides for Quantitative Targeted Absolute Proteomics: Selection, Digestion Efficiency, and Peptide Stability.Pharmaceutical research · 2022Article
- Innovative approaches and recent advances in the study of ontogeny of drug metabolism and transport.British journal of clinical pharmacology · 2022Review
- New and Emerging Research on Solute Carrier and ATP Binding Cassette Transporters in Drug Discovery and Development: Outlook From the International Transporter Consortium.Clinical pharmacology and therapeutics · 2022Review
- Regulation of Drug Transport Proteins-From Mechanisms to Clinical Impact: A White Paper on Behalf of the International Transporter Consortium.Clinical pharmacology and therapeutics · 2022Review
- Review
- Recent advances in the translation of drug metabolism and pharmacokinetics science for drug discovery and development.Acta pharmaceutica Sinica. B · 2022Review
- Drug Disposition Protein Quantification in Matched Human Jejunum and Liver From Donors With Obesity.Clinical pharmacology and therapeutics · 2022Article
- Interindividual Variability and Differential Tissue Abundance of Mitochondrial Amidoxime Reducing Component Enzymes in Humans.Drug metabolism and disposition: the biological fate of chemicals · 2022Article
- Simultaneous absolute protein quantification of seven cytochrome P450 isoforms in rat liver microsomes by LC-MS/MS-based isotope internal standard method.Frontiers in pharmacology · 2022Article
- Targeted proteomics for cancer biomarker verification and validation.Cancer biomarkers : section A of Disease markers · 2022Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Quantitative translation of information on drug absorption, disposition, receptor engagement, and drug-drug interactions from bench to bedside requires models informed by physiological parameters that link in vitro studies to in vivo outcomes. To predict in vivo outcomes, biochemical data from experimental systems are routinely scaled using protein quantity in these systems and relevant tissues. Although several laboratories have generated useful quantitative proteomic data using state-of-the-art mass spectrometry, no harmonized guidelines exit for sample analysis and data integration to in vivo translation practices. To address this gap, a workshop was held on September 27 and 28, 2018, in Cambridge, MA, with 100 experts attending from academia, the pharmaceutical industry, and regulators. Various aspects of quantitative proteomics and its applications in translational pharmacology were debated. A summary of discussions and best practices identified by this expert panel are presented in this "White Paper" alongside unresolved issues that were outlined for future debates.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.