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Mouse Models for Drug Discovery

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Cover of 'Mouse Models for Drug Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Genetically Defined Strains in Drug Development and Toxicity Testing.
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    Chapter 2 Mouse Models for Drug Discovery
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    Chapter 3 Mouse Models for Drug Discovery
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    Chapter 4 Mouse Models for Drug Discovery
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    Chapter 5 Mouse Models for Drug Discovery
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    Chapter 6 Human FcRn Transgenic Mice for Pharmacokinetic Evaluation of Therapeutic Antibodies.
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    Chapter 7 A Humanized Mouse Model to Study Human Albumin and Albumin Conjugates Pharmacokinetics.
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    Chapter 8 Mouse Models for Drug Discovery
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    Chapter 9 Bridging Mice to Men: Using HLA Transgenic Mice to Enhance the Future Prediction and Prevention of Autoimmune Type 1 Diabetes in Humans.
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    Chapter 10 Mouse Models of Type 2 Diabetes Mellitus in Drug Discovery.
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    Chapter 11 Cholesterol Absorption and Metabolism.
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    Chapter 12 Skin Diseases in Laboratory Mice: Approaches to Drug Target Identification and Efficacy Screening.
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    Chapter 13 Chronic Myeloid Leukemia (CML) Mouse Model in Translational Research.
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    Chapter 14 Murine Model for Colitis-Associated Cancer of the Colon.
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    Chapter 15 Mouse Models for Drug Discovery
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    Chapter 16 Mouse Models for Drug Discovery
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    Chapter 17 Repetitive Behavioral Assessments for Compound Screening in Mouse Models of Autism Spectrum Disorders.
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    Chapter 18 Mouse Models for Drug Discovery
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    Chapter 19 Mouse Models for Drug Discovery
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    Chapter 20 Mouse Models for Drug Discovery
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    Chapter 21 Mouse Models for Drug Discovery
Attention for Chapter 7: A Humanized Mouse Model to Study Human Albumin and Albumin Conjugates Pharmacokinetics.
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Chapter title
A Humanized Mouse Model to Study Human Albumin and Albumin Conjugates Pharmacokinetics.
Chapter number 7
Book title
Mouse Models for Drug Discovery
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3661-8_7
Pubmed ID
Book ISBNs
978-1-4939-3659-5, 978-1-4939-3661-8
Authors

Benjamin E. Low, Michael V. Wiles

Editors

Gabriele Proetzel, Michael V. Wiles

Abstract

Albumin is a large, highly abundant protein circulating in the blood stream which is regulated and actively recycled via the neonatal Fc receptor (FcRn). In humans this results in serum albumin having an exceptional long half-life of ~21 days. Some time ago it was realized that these intrinsic properties could be harnessed and albumin could be used as a privileged drug delivery vehicle. However, active development of albumin based therapeutics has been hampered by the lack of economic, relevant experimental models which can accurately recapitulate human albumin metabolism and pharmacokinetics. In mice for example, introduced human albumin is not recycled and is catabolized rapidly. This is mainly due to the failure of mouse FcRn to bind human albumin consequently, human albumin has a half-life of only 2-3 days in mice. To overcome this we developed and characterized a humanized mouse model which is null for mouse FcRn and mouse albumin, but is transgenic for, and expressing functional human FcRn. Published data clearly demonstrate that upon injection of human albumin into this model animal that it accurately recapitulates human albumin FcRn dependent serum recycling, with human albumin now having a half-life ~24 days, closely mimicking that observed in humans. In this practical review we briefly review this model and outline its use for pharmacokinetic studies of human albumin.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 33%
Lecturer > Senior Lecturer 2 11%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Pharmacology, Toxicology and Pharmaceutical Science 3 17%
Immunology and Microbiology 2 11%
Environmental Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 3 17%
Unknown 4 22%