Literature DB >> 18537578

Applications and limitations of genetically modified mouse models in drug discovery and development.

Jiunn H Lin1.   

Abstract

Genetically modified mouse models in which a specific gene is removed or replaced have proven to be powerful tools for identification/validation of target gene and scientific understanding of molecular mechanisms underlying drug-induced toxicity through mechanistic studies. In spite of the advantage, there are significant limitations of genetically modified mouse models. Modification of a given gene does not always result in the anticipated phenotype. In some instances, phenotypes of targeted mouse mutants were not those predicted from the presumed function of the given genes, while other null mutants revealed no apparent defects. Furthermore, the phenotypic outcome can be influenced by many environmental and genetic factors. Therefore, interpretation of the significance of the findings from studies using genetically modified mouse models is not always as straightforward as one would expect, especially when desire is to extrapolate the findings to humans. Interestingly, many humanized mouse models have been generated for evaluating the function and regulation of cytochrome P450 (CYP) enzymes. Our fascination with humanized animals dates back to ancients. For example, the Great Sphinx of Giza, a large half-human and half-lion statue, is believed to have been built by Egyptians about 4500 years ago. Although the creation of humanized animals that carry a particular human CYP gene provides useful tools for scientific understanding of the function and regulation of the CYP enzyme, these humanized mouse models are not so useful in prediction of human pharmacokinetics in a quantitative sense. Accordingly, it is important to keep in mind that an animal engineered to express a human gene and its protein is still an animal.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18537578     DOI: 10.2174/138920008784746355

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  20 in total

1.  pH-controlled delivery of luminescent europium coated nanoparticles into platelets.

Authors:  Amy Davies; David J Lewis; Stephen P Watson; Steven G Thomas; Zoe Pikramenou
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-20       Impact factor: 11.205

2.  Difference in desipramine metabolic profile between wild-type and CYP2D6-humanized mice.

Authors:  Hong-Wu Shen; Ai-Ming Yu
Journal:  Drug Metab Lett       Date:  2009-12

Review 3.  Use of in vivo animal models to assess pharmacokinetic drug-drug interactions.

Authors:  Cuyue Tang; Thomayant Prueksaritanont
Journal:  Pharm Res       Date:  2010-04-29       Impact factor: 4.200

Review 4.  The paradox of muscle hypertrophy in muscular dystrophy.

Authors:  Joe N Kornegay; Martin K Childers; Daniel J Bogan; Janet R Bogan; Peter Nghiem; Jiahui Wang; Zheng Fan; James F Howard; Scott J Schatzberg; Jennifer L Dow; Robert W Grange; Martin A Styner; Eric P Hoffman; Kathryn R Wagner
Journal:  Phys Med Rehabil Clin N Am       Date:  2012-02       Impact factor: 1.784

5.  Organ Culture and Whole Mount Immunofluorescence Staining of Mouse Wolffian Ducts.

Authors:  Manish Kumar; Pradeep Tanwar
Journal:  J Vis Exp       Date:  2017-01-13       Impact factor: 1.355

Review 6.  Psychedelic 5-methoxy-N,N-dimethyltryptamine: metabolism, pharmacokinetics, drug interactions, and pharmacological actions.

Authors:  Hong-Wu Shen; Xi-Ling Jiang; Jerrold C Winter; Ai-Ming Yu
Journal:  Curr Drug Metab       Date:  2010-10       Impact factor: 3.731

7.  Exploring the Potential of Mesenchymal Stem Cell Sheet on The Development of Hepatocellular Carcinoma In Vivo.

Authors:  Alaa T Alshareeda; Batla Alsowayan; Abdullah Almubarak; Ayidah Alghuwainem; Yasser Alshawakir; Mohammed Alahmed
Journal:  J Vis Exp       Date:  2018-09-11       Impact factor: 1.355

Review 8.  Disease drivers of aging.

Authors:  Richard J Hodes; Felipe Sierra; Steven N Austad; Elissa Epel; Gretchen N Neigh; Kristine M Erlandson; Marissa J Schafer; Nathan K LeBrasseur; Christopher Wiley; Judith Campisi; Mary E Sehl; Rosario Scalia; Satoru Eguchi; Balakuntalam S Kasinath; Jeffrey B Halter; Harvey Jay Cohen; Wendy Demark-Wahnefried; Tim A Ahles; Nir Barzilai; Arti Hurria; Peter W Hunt
Journal:  Ann N Y Acad Sci       Date:  2016-12       Impact factor: 5.691

9.  Glucocorticoid status affects antidepressant regulation of locus coeruleus tyrosine hydroxylase and dorsal raphé tryptophan hydroxylase gene expression.

Authors:  Willem Heydendael; Lauren Jacobson
Journal:  Brain Res       Date:  2009-07-03       Impact factor: 3.252

Review 10.  Drug screening for human genetic diseases using iPSC models.

Authors:  Matthew S Elitt; Lilianne Barbar; Paul J Tesar
Journal:  Hum Mol Genet       Date:  2018-08-01       Impact factor: 6.150

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.