1
|
Tevini J, Aminzadeh-Gohari S, Weber DD, Catalano L, Stefan VE, Redl E, Herzog C, Lang R, Widschwendter M, Felder TK, Kofler B. A validated HPLC-MS/MS method for the quantification of systemic mifepristone after subcutaneous application in mice. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024. [PMID: 39045617 DOI: 10.1039/d4ay00546e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
Mifepristone (RU486, MIF) is a synthetic steroidal hormone with progesterone and glucocorticoid receptor antagonistic characteristics. MIF is commonly used for pharmalogical abortions, but also for the treatment of endometrial and endocrine disorders. The goal of the study was to establish and validate a targeted HPLC-MS/MS method for the quantification of MIF and one of its active metabolites metapristone (MET) in plasma after subcutaneous implantation of slow-release MIF pellets in female BALB/c mice. Additionally, we aimed to apply the analytical method to tissue of several organs to understand the tissue-specific distribution of both analytes after release into systemic circulation. Sample preparation comprised a simple liquid-liquid extraction with diethylether and required 100 μl of plasma or homogenates of approximately 50 mg of tissue. The presented HPLC-MS/MS method showed high sensitivity with baseline separation of MIF, MET, and the internal standard levonorgestrel within a run time of only 8.0 minutes and comparable limits of quantification for plasma and tissue homogenates ranging from 40 pg ml-1 to 105 pg ml-1 for MIF and MET. The presented study is suitable for murine plasma and tissues and can be easily applied to human samples.
Collapse
Affiliation(s)
- Julia Tevini
- Research Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, Salzburg, Austria.
| | - Sepideh Aminzadeh-Gohari
- Research Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, Salzburg, Austria.
- European Translational Oncology Prevention and Screening (EUTOPS) Institute, University Innsbruck, Hall in Tirol, Innsbruck, Austria
- Institute for Biomedical Aging Research, University Innsbruck, Innsbruck, Austria
| | - Daniela D Weber
- Research Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, Salzburg, Austria.
| | - Luca Catalano
- Research Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, Salzburg, Austria.
| | - Victoria E Stefan
- Research Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, Salzburg, Austria.
- Department of Biosciences and Medical Biology, University of Salzburg, Salzburg, Austria
| | - Elisa Redl
- European Translational Oncology Prevention and Screening (EUTOPS) Institute, University Innsbruck, Hall in Tirol, Innsbruck, Austria
- Institute for Biomedical Aging Research, University Innsbruck, Innsbruck, Austria
| | - Chiara Herzog
- European Translational Oncology Prevention and Screening (EUTOPS) Institute, University Innsbruck, Hall in Tirol, Innsbruck, Austria
- Institute for Biomedical Aging Research, University Innsbruck, Innsbruck, Austria
| | - Roland Lang
- Department of Dermatology and Allergology, University Hospital of the Paracelsus Medical University, Salzburg, Austria
| | - Martin Widschwendter
- European Translational Oncology Prevention and Screening (EUTOPS) Institute, University Innsbruck, Hall in Tirol, Innsbruck, Austria
- Institute for Biomedical Aging Research, University Innsbruck, Innsbruck, Austria
- Department of Women's and Children's Health, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Department of Women's Cancer, University College London, London, UK
| | - Thomas K Felder
- Department of Laboratory Medicine, Paracelsus Medical University, Salzburg, Austria.
- Institute of Pharmacy, Paracelsus Medical University, Salzburg, Austria
| | - Barbara Kofler
- Research Program for Receptor Biochemistry and Tumor Metabolism, Department of Pediatrics, University Hospital of the Paracelsus Medical University, Salzburg, Austria.
| |
Collapse
|
2
|
Fu Y, Li W, Picard F. Non-regulated LC-MS/MS bioanalysis in support of early drug development - a Novartis perspective. Bioanalysis 2023; 15:109-125. [PMID: 36976931 DOI: 10.4155/bio-2022-0204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023] Open
Abstract
Scientifically qualified LC-MS/MS methods are essential for the determination of small molecule drug candidates and/or their metabolite(s) in support of various non-regulated safety assessment and in vivo absorption, distribution, metabolism and excretion studies in preclinical development. This article outlines an effective method development workflow to fit for this purpose. The workflow features a 'universal' protein precipitation solvent for efficient sample extraction, a mobile phase additive for managing chromatographic resolution and addressing carryover and an internal standard cocktail to select the best analogue internal standard to track the analyte of interest in LC-MS/MS. In addition, good practices are recommended to prevent bioanalytical pitfalls due to instability, non-specific binding and dosing vehicle-induced matrix effect. Proper handling of non-liquid matrix is also discussed.
Collapse
Affiliation(s)
- Yunlin Fu
- Pharmacokinetic Sciences - Drug Disposition, Novartis Institutes for BioMedical Research, One Health Plaza, East Hanover, NJ 07936, USA
| | - Wenkui Li
- Pharmacokinetic Sciences - Drug Disposition, Novartis Institutes for BioMedical Research, One Health Plaza, East Hanover, NJ 07936, USA
| | - Franck Picard
- Pharmacokinetic Sciences - Drug Disposition, Novartis Institutes for BioMedical Research, Basel, CH-4056, Switzerland
| |
Collapse
|
3
|
Sheng H, Corcoran EB, Dance ZEX, Smith JP, Lin Z, Ordsmith V, Hamilton S, Zhuang P. Quantitative Perspective on Online Flow Reaction Profiling Using a Miniature Mass Spectrometer. Org Process Res Dev 2020. [DOI: 10.1021/acs.oprd.0c00294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Huaming Sheng
- Analytical Science, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Emily B. Corcoran
- Small Molecule Process Research & Development, Merck & Co., Inc., Boston, Massachusetts 02115, United States
| | - Zachary E. X. Dance
- Analytical Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Joseph P. Smith
- Analytical Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Zhihao Lin
- ACDS-PAT, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | | | - Simon Hamilton
- Analytical Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Ping Zhuang
- Analytical Research & Development, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| |
Collapse
|
4
|
Evaluation, identification and impact assessment of abnormal internal standard response variability in regulated LC-MS bioanalysis. Bioanalysis 2020; 12:545-559. [PMID: 32352315 DOI: 10.4155/bio-2020-0058] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Internal standard (IS) plays an important role in LC-MS bioanalysis by compensating for the variability of the analyte of interest in bioanalytical workflow. Due to the complexity of biological sample compositions and bioanalytical processes, a certain level of IS response variability across a run or a study is anticipated. However, an extensive variability may raise doubts to the accuracy of the measured results and also suggest nonoptimal analytical method. In this current paper, recent publications and guidelines regarding IS response in LC-MS bioanalysis were thoroughly reviewed with focus on the evaluation, identification and impact assessment of 'abnormal' IS response variability. A systematic decision tree was proposed to facilitate investigation into abnormal IS response variability after each run.
Collapse
|