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Metabolomics: Markers of Drug-Induced Liver Injury(RMI)

Metabolomics: Markers of Drug-Induced Liver Injury(RMI)
代谢组学:药物性肝损伤 (RMI) 的标志物
批准号:
7479099
负责人:
SUSAN J SUMNER
金额:
$41.74万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-23 至 2010-07-31

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中文摘要
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DESCRIPTION (provided by applicant): The cost of developing new drug entities for clinical use is substantial, and is greatly impacted by failure during the later stages of drug development. The early removal from the development pipeline of drug candidates that are likely to be toxic at therapeutic doses in humans has a huge impact on the cost of drug development. Liver injury is one of the major reasons for removal of a drug from the market, or addition of safety alerts. One aim of this proposal is to identify a set of endogenous metabolites excreted in urine that can be used to screen, as an early marker, for drug-induced liver injury. A second aim of this proposal is to gain more insight into markers that are reflective of specific mechanisms of liver injury. Both aims have the potential of better defining sensitive markers for pre-clinical use as well as provide potential for development of markers for patient populations. NMR and GC-MS metabolomic profiles will be developed for liver and urine from rats administered vehicle, no-effect levels, or drug induced-liver injury levels of clofibrate, valproic acid, isoniazid, phenytoin, and acetaminophen. Conventional measures of liver injury (liver weights, elevation in serum enzymes, and histopathology) will be obtained in addition to metabolomic profiles. The urine and liver metabolomics profiles for these drugs will be reduced and analyzed to provide the pattern of signals that are predictive of the response measurements for each drug. In addition, the union of the predictive patterns for individual drugs will be used to differentiate all groups based on the drug administered, dose level, exposure duration, and correlation with adverse response. The method used to identify the sub-set(s) of signals will be cross-validated by the drop-one-out approach. The signals defining these patterns will be identified using GC-MS, NMR, and LC-MS/MS methods and then assigned to biochemical pathways for defining the relevancy of the marker profiles to mode of action.
期刊论文(2)
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科研奖励(0)
会议论文
DOI: 10.1007/s11306-010-0197-8
发表时间: 2010-06-01
期刊: METABOLOMICS
影响因子: 3.6
作者: [Sumner, Susan J., Burgess, Jason P., Snyder, Rodney W., Popp, James A., Fennell, Timothy R.]
通讯作者: Fennell, Timothy R.
DOI: 10.1021/ac1016612
发表时间: 2010-10-01
期刊: ANALYTICAL CHEMISTRY
影响因子: 7.4
作者: [Gika, Helen G., Theodoridis, Georgios A., Earll, Mark, Snyder, Rodney W., Sumner, Susan J., Wilson, Ian D.]
通讯作者: Wilson, Ian D.
Year 2, Targeted and Clinical Assay Supplement to the NPH MCAC
Metabolomics and Clinical Assays Center
Metabolomics and Clinical Assays Center
Untargeted Analysis Resource
  • 批准号:
    10200814
  • 项目类别:
  • 资助金额:
    $264.42万
  • 财政年份:
    2019
  • 负责人:
    SUSAN J SUMNER
  • 依托单位:
海外基金