Toxicologic and Metabonomic Characterization of Toxins and Metabolites in Skeletal Tissues for Forensic Prediction of Toxin Exposure Patterns

骨骼组织中毒素和代谢物的毒理学和代谢组学特征,用于毒素暴露模式的法医预测

基本信息

  • 批准号:
    327609-2013
  • 负责人:
  • 金额:
    $ 2.62万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

OBJECTIVESThe objective of this research program is to determine the extent to which the circumstances of exposure to a toxin may be differentiated through modeling of quantitative relationships between concentrations of a toxin and metabolites in decomposed skeletal tissues.SCIENTIFIC APPROACHThis work will develop quantitative, high throughput mass spectrometric methods to analyze model toxins, their metabolites and endogenous metabolites in decomposed skeletal tissues. The hypothesis is that different patterns of toxin exposure may be differentiated through relationships between relative levels of toxin, toxin metabolites and endogenous metabolites measured in decomposed skeletal tissues. Rats will be exposed to toxin(s) under different dosing patterns, with dose intervals based on the half-life of the toxin in rats. Placebo exposed animals will serve as control groups for each toxin studied. For each pattern of exposure, various postmortem environments (e.g., temperature, humidity, soil conditions, entomological activity and/or degrees of decomposition) will be investigated. Toxins and metabolites will be extracted from bone prior to analysis by chromatography and mass spectrometry. Mathematical relationships between toxin and metabolite levels will be investigated in order to determine if they may be used to predict different patterns of toxin exposure.EXPECTED NOVELTY & SIGNIFICANCEToxicological analysis of skeletal remains is poorly understood. Discrimination between different patterns of toxin exposure may be possible based on comparison of the mathematical relationship between levels of toxin and metabolites in bone. This would provide an interpretive framework for toxicological measurements in skeletal tissues that is not currently possible, significantly impacting the forensic and environmental sciences.
目的本研究计划的目的是通过对毒素浓度和分解的骨骼组织中代谢物之间的定量关系进行建模,确定暴露于毒素的情况可以区分的程度。科学方法本工作将开发定量、高通量的质谱方法来分析模型毒素、其代谢物和分解骨骼组织中的内源性代谢物。其假设是,通过在分解的骨骼组织中测量的毒素、毒素代谢物和内源性代谢物的相对水平之间的关系,可以区分不同的毒素暴露模式。大鼠将在不同的剂量模式下暴露于毒素,剂量间隔基于毒素在大鼠体内的半衰期。暴露于安慰剂的动物将作为所研究的每种毒素的对照组。对于每种暴露模式,将调查各种死后环境(例如,温度、湿度、土壤条件、昆虫活动和/或分解程度)。在进行色谱和质谱分析之前,将从骨骼中提取毒素和代谢物。将研究毒素和代谢物水平之间的数学关系,以确定它们是否可用于预测毒素暴露的不同模式。期望的新颖性和意义对骨骼遗骸的毒理学分析了解甚少。根据比较骨骼中毒素水平和代谢物之间的数学关系,可以区分不同的毒素暴露模式。这将为目前无法实现的骨骼组织毒理学测量提供一个解释性框架,对法医和环境科学产生重大影响。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Watterson, James其他文献

Should surgeons control fluoroscopy during urology procedures?
Perceptions and Practice Patterns of Holmium Laser Goggles in Endourological Procedures: An Unnecessary Evil?
  • DOI:
    10.1089/end.2018.0432
  • 发表时间:
    2018-11-29
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Paterson, Nicholas R.;Fitzpatrick, Ryan;Watterson, James
  • 通讯作者:
    Watterson, James
Development and Validation of a Uplc-Qtof-Ms Method for Blood Analysis of Isomeric Amphetamine-Related Drugs
  • DOI:
    10.3390/separations9100285
  • 发表时间:
    2022-10-01
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Alamir, Ahmad;Watterson, James;Attafi, Ibraheem
  • 通讯作者:
    Attafi, Ibraheem

Watterson, James的其他文献

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{{ truncateString('Watterson, James', 18)}}的其他基金

Xenobiotic and Metabolite Profiling in Skeletal Remains for Classification of Xenobiotic Exposure Patterns
骨骼遗骸中的异生物质和代谢物分析用于异生物质暴露模式的分类
  • 批准号:
    RGPIN-2018-06817
  • 财政年份:
    2022
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Xenobiotic and Metabolite Profiling in Skeletal Remains for Classification of Xenobiotic Exposure Patterns
骨骼遗骸中的异生物质和代谢物分析用于异生物质暴露模式的分类
  • 批准号:
    RGPIN-2018-06817
  • 财政年份:
    2021
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Xenobiotic and Metabolite Profiling in Skeletal Remains for Classification of Xenobiotic Exposure Patterns
骨骼遗骸中的异生物质和代谢物分析用于异生物质暴露模式的分类
  • 批准号:
    RGPIN-2018-06817
  • 财政年份:
    2020
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Xenobiotic and Metabolite Profiling in Skeletal Remains for Classification of Xenobiotic Exposure Patterns
骨骼遗骸中的异生物质和代谢物分析用于异生物质暴露模式的分类
  • 批准号:
    RGPIN-2018-06817
  • 财政年份:
    2019
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Xenobiotic and Metabolite Profiling in Skeletal Remains for Classification of Xenobiotic Exposure Patterns
骨骼遗骸中的异生物质和代谢物分析用于异生物质暴露模式的分类
  • 批准号:
    RGPIN-2018-06817
  • 财政年份:
    2018
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Toxicologic and Metabonomic Characterization of Toxins and Metabolites in Skeletal Tissues for Forensic Prediction of Toxin Exposure Patterns
骨骼组织中毒素和代谢物的毒理学和代谢组学特征,用于毒素暴露模式的法医预测
  • 批准号:
    327609-2013
  • 财政年份:
    2016
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Toxicologic and Metabonomic Characterization of Toxins and Metabolites in Skeletal Tissues for Forensic Prediction of Toxin Exposure Patterns
骨骼组织中毒素和代谢物的毒理学和代谢组学特征,用于毒素暴露模式的法医预测
  • 批准号:
    327609-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Toxicologic and Metabonomic Characterization of Toxins and Metabolites in Skeletal Tissues for Forensic Prediction of Toxin Exposure Patterns
骨骼组织中毒素和代谢物的毒理学和代谢组学特征,用于毒素暴露模式的法医预测
  • 批准号:
    327609-2013
  • 财政年份:
    2014
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Toxicologic and Metabonomic Characterization of Toxins and Metabolites in Skeletal Tissues for Forensic Prediction of Toxin Exposure Patterns
骨骼组织中毒素和代谢物的毒理学和代谢组学特征,用于毒素暴露模式的法医预测
  • 批准号:
    327609-2013
  • 财政年份:
    2013
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual
Characterization of drug disposition in skeletal tissues - a forensic context
骨骼组织中药物分布的表征 - 法医背景
  • 批准号:
    327609-2007
  • 财政年份:
    2011
  • 资助金额:
    $ 2.62万
  • 项目类别:
    Discovery Grants Program - Individual

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