Chimeric Mice: Improving Drug Safety
嵌合小鼠:提高药物安全性
基本信息
- 批准号:9332249
- 负责人:
- 金额:$ 63.14万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-08-15 至 2020-05-31
- 项目状态:已结题
- 来源:
- 关键词:Acute Liver FailureAnimalsCharacteristicsDrug ApprovalDrug toxicityEngineeringEnsureGene ExpressionGenesGenome engineeringHepatocyteHepatotoxicityHumanLiverMethodologyMethodsModelingMolecular TargetMusOrganPathway interactionsPerformancePharmaceutical PreparationsPhasePredispositionProcessPublic HealthResidual stateRodentSafetySeriesTestingToxic effectToxicologyTyrosine Kinase Inhibitorbosentandrug metabolismdrug testingfialuridinehuman subjecthumanized mouseimprovedliver injurymouse genomenext generationnucleoside analogprogramsresponse
项目摘要
Abstract
Drug-induced liver injury (DILI) has become a leading cause of acute liver failure, and it is the most common
reason for regulatory actions after drug approval. Differences in the drug metabolism and drug disposition
pathways used by humans and animal species have limited the predictive utility of animal toxicology studies.
Drugs that produced minimal or no toxicity in animal studies have sometimes caused significant DILI in
humans. Given the significant public health problem caused by DILI, and the difficulties associated with
regulatory actions occurring after drug approval, there is a critical need for better methods to identify candidate
medications that will cause DILI. This program will use 21st century genome engineering and a liver
humanization model to improve drug safety.
Since liver is the target organ for many drug-induced toxicities, toxicology studies using mice with `humanized'
livers should improve the safety of drugs that will be tested in human subjects. Analyses of their response to
fialuridine and bosentan treatment have indicated that TK-NOG mice with humanized livers could identify drugs
that will cause human-specific liver toxicity. However, for this model to achieve its potential, its performance
must be assessed with a larger number of drugs with different hepatotoxic potential in rodents and humans.
Therefore, we will evaluate the response of control and humanized TK-NOG mice to 7 selected drugs, which
include: (i) 3 nucleoside analogues (two were safe for humans and one caused human-specific liver toxicity);
(ii) two drugs with the same molecular target to determine if chimeric mice can distinguish between drugs that
will or will not cause human-specific liver toxicity; and (iii) two tyrosine kinase inhibitors that were hepatotoxic in
rodents but not in humans to determine whether this platform can identify drugs that will be safe for humans,
even though they caused rodent-specific toxicities. We have shown that bosentan-induced cholestatic liver
toxicity (BICLT) develops in humanized (but not control) TK-NOG mice. However, we do not know why
humanized mice have increased susceptibility to BICLT. Therefore, a series of mechanistic studies will be
performed to determine why humanized mice are selectively susceptible to this toxicity. Lastly, residual murine
hepatocytes in the chimeric liver produce mouse-specific drug metabolites, which can confound the results of
toxicology studies that use humanized TK-NOG mice. To produce a liver humanization platform with better
performance characteristics, mouse genome engineering will be used to inactivate key murine genes involved
in phase I drug metabolism. A two-stage process will be used to ensure that murine phase I drug metabolism
has been optimally reduced in these mice. Their response to 6 different drugs, which have different hepatotoxic
potential in rodents and humans, will be assessed to determine if this next generation platform can better
predict the human hepatotoxic potential of candidate medications.
摘要
项目成果
期刊论文数量(0)
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GARY A PELTZ其他文献
GARY A PELTZ的其他文献
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{{ truncateString('GARY A PELTZ', 18)}}的其他基金
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10198889 - 财政年份:2017
- 资助金额:
$ 63.14万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10406825 - 财政年份:2017
- 资助金额:
$ 63.14万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10515960 - 财政年份:2017
- 资助金额:
$ 63.14万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
10075085 - 财政年份:2017
- 资助金额:
$ 63.14万 - 项目类别:
Computational Methods for Identification of Genetic Factors Affecting the Response to Drug Abuse
识别影响药物滥用反应的遗传因素的计算方法
- 批准号:
9926473 - 财政年份:2017
- 资助金额:
$ 63.14万 - 项目类别:
Stem Cell-Based In vivo Models of Human Genetic Liver Diseases
基于干细胞的人类遗传性肝病体内模型
- 批准号:
8812710 - 财政年份:2015
- 资助金额:
$ 63.14万 - 项目类别:
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