Mette Lund Pedersen
Research Subjects
Mette Lund Pedersen has a total of 32 co-authors. Here are the top co-authors by number of shared publications:
- David S. Wagner
AbbVie Inc. North Chicago Illinois USA
2 shared publications - Filip Cuyckens
Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium
2 shared publications - Jason Boer
Incyte Corporation 1801 Augustine Cut‐Off Wilmington Delaware USA
2 shared publications - Patricia Moliner
Sanofi Montpellier France
2 shared publications - Adam M. Auclair
Boehringer Ingelheim Pharmaceuticals, Inc. Ridgefield Connecticut USA
1 shared publication - Alexander David James
Novartis Pharma AG Basel Switzerland
1 shared publication
Latest Publications
- Open Access
- 17 December 2025
- Published by Wiley in Clinical Pharmacology & Therapeutics
- Vol. 119 (3) , 591-597
Guided Sample Pooling in Human Mass Balance Studies: A Recommended Strategic Decision Framework
Radiolabeled human mass balance studies are crucial for identifying circulating metabolites and understanding drug absorption, excretion, and clearance pathways. Metabolite profiling involves quantifying all drug‐related entities, including parent drug and metabolites in plasma and excreta, using extended liquid chromatography methods coupled with detection through scintillation counting, accelerator mass spectrometry, or non‐radiolabeled approaches. Given the labor‐intensive nature of sample extraction and analysis, we propose a new paradigm that maximizes gathering information through sample pooling strategies. Our proposal introduces sample pooling strategies by integrating both individual and pooled sample schemes, simplifying decisions, and consolidating existing knowledge into a cohesive document. This aligns with the low statistical power typically associated with mass balance studies that dose six to eight subjects. In metabolite profiling, it is common practice to pool samples either from the limited number of subjects participating in a human mass balance study or from different time points of sample collection. This approach improves efficiency while preserving data integrity. Pooling reduces resource constraints and enables the concentration of samples with relatively low radioactivity levels, resulting in higher quality metabolite profiles. Nevertheless, there are situations when analyzing samples from individual subjects or time points may be preferred. This proposal presents guidance and decision trees designed to facilitate informed decisions about sample pooling to maximize data quality of metabolite profiling in human mass balance studies while efficiently managing resources. These recommendations stem from discussions within the mass balance working group of the IQ Consortium.
- 17 December 2025
- Published by Wiley in Clinical Pharmacology & Therapeutics
- Vol. 119 (3) , 591-597
Open AccessGuided Sample Pooling in Human Mass Balance Studies: A Recommended Strategic Decision Framework
Radiolabeled human mass balance studies are crucial for identifying circulating metabolites and understanding drug absorption, excretion, and clearance pathways. Metabolite profiling involves quantifying all drug‐related entities, including parent drug and metabolites in plasma and excreta, using extended liquid chromatography methods coupled with detection through scintillation counting, accelerator mass spectrometry, or non‐radiolabeled approaches. Given the labor‐intensive nature of sample extraction and analysis, we propose a new paradigm that maximizes gathering information through sample pooling strategies. Our proposal introduces sample pooling strategies by integrating both individual and pooled sample schemes, simplifying decisions, and consolidating existing knowledge into a cohesive document. This aligns with the low statistical power typically associated with mass balance studies that dose six to eight subjects. In metabolite profiling, it is common practice to pool samples either from the limited number of subjects participating in a human mass balance study or from different time points of sample collection. This approach improves efficiency while preserving data integrity. Pooling reduces resource constraints and enables the concentration of samples with relatively low radioactivity levels, resulting in higher quality metabolite profiles. Nevertheless, there are situations when analyzing samples from individual subjects or time points may be preferred. This proposal presents guidance and decision trees designed to facilitate informed decisions about sample pooling to maximize data quality of metabolite profiling in human mass balance studies while efficiently managing resources. These recommendations stem from discussions within the mass balance working group of the IQ Consortium.
- 12 March 2024
- Published by Wiley in Clinical Pharmacology & Therapeutics
- Vol. 115 (5) , 939-953
Metabolite Bioanalysis in Drug Development: Recommendations from the IQ Consortium Metabolite Bioanalysis Working Group
The intent of this perspective is to share the recommendations of the International Consortium for Innovation and Quality in Pharmaceutical Development Metabolite Bioanalysis Working Group on the fit‐for‐purpose metabolite bioanalysis in support of drug development and registration. This report summarizes the considerations for the trigger, timing, and rigor of bioanalysis in the various assessments to address unique challenges due to metabolites, with respect to efficacy and safety, which may arise during drug development from investigational new drug (IND) enabling studies, and phase I, phase II, and phase III clinical trials to regulatory submission. The recommended approaches ensure that important drug metabolites are identified in a timely manner and properly characterized for efficient drug development.
- 12 March 2024
- Published by Wiley in Clinical Pharmacology & Therapeutics
- Vol. 115 (5) , 939-953
Metabolite Bioanalysis in Drug Development: Recommendations from the IQ Consortium Metabolite Bioanalysis Working Group
The intent of this perspective is to share the recommendations of the International Consortium for Innovation and Quality in Pharmaceutical Development Metabolite Bioanalysis Working Group on the fit‐for‐purpose metabolite bioanalysis in support of drug development and registration. This report summarizes the considerations for the trigger, timing, and rigor of bioanalysis in the various assessments to address unique challenges due to metabolites, with respect to efficacy and safety, which may arise during drug development from investigational new drug (IND) enabling studies, and phase I, phase II, and phase III clinical trials to regulatory submission. The recommended approaches ensure that important drug metabolites are identified in a timely manner and properly characterized for efficient drug development.