Literature DB >> 25157486

Quantification of human mAbs in mouse tissues using generic affinity enrichment procedures and LC-MS detection.

Bogdan G Sleczka1, John T Mehl, David J Shuster, Katherine E Lewis, Robin Moore, Ragini Vuppugalla, Surendran Rajendran, Celia J D'Arienzo, Timothy V Olah.   

Abstract

BACKGROUND: The disease state can modulate the penetration of large antibody-sized therapeutic molecules into affected tissues. Suitable bioanalytical methods are required for the quantitative analysis of drug tissue levels to enable a better understanding of the parameters influencing drug penetration and target engagement.
RESULTS: Described is a sensitive and selective LC-MS/MS assay for the quantification of human mAb molecules in mouse tissues. By homogenizing tissues directly into serum, a common serum calibration curve can be used for multiple tissues. A generic procedure was used for affinity enrichment. An analytical range of 20 - 20,000 ng/ml was achieved in serum.
CONCLUSION: The method described here can be applied for the quantitative analysis of mAb and Fc-fusion therapeutic molecules in a variety of animal tissue matrices.

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Year:  2014        PMID: 25157486     DOI: 10.4155/bio.14.143

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  2 in total

1.  Sensitive, High-Throughput, and Robust Trapping-Micro-LC-MS Strategy for the Quantification of Biomarkers and Antibody Biotherapeutics.

Authors:  Ming Zhang; Bo An; Yang Qu; Shichen Shen; Wei Fu; Yuan-Ju Chen; Xue Wang; Rebeccah Young; John M Canty; Joseph P Balthasar; Keeley Murphy; Debadeep Bhattacharyya; Jonathan Josephs; Luca Ferrari; Shaolian Zhou; Surendra Bansal; Faye Vazvaei; Jun Qu
Journal:  Anal Chem       Date:  2018-01-08       Impact factor: 6.986

2.  Pharmacokinetic Characterization and Tissue Distribution of Fusion Protein Therapeutics by Orthogonal Bioanalytical Assays and Minimal PBPK Modeling.

Authors:  Hiroshi Sugimoto; Susan Chen; Mark G Qian
Journal:  Molecules       Date:  2020-01-26       Impact factor: 4.411

  2 in total

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