MISSISSIPPI COBRE: P4: ID OF REWARDING CONSTITUENTS IN BOTANICAL EXTRACTS

密西西比 COBRE：P4：植物提取物中奖励成分的 ID

• 批准号: 7382240
• 负责人: KENNETH J SUFKA
• 金额: $ 18.01万
• 依托单位: UNIVERSITY OF MISSISSIPPI
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-04 至 2007-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7382240
• 关键词: biological products; plant extracts; plants; preference

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. A wide variety of botanical products are readily available for public purchase and consumption. While many of these products may indeed possess therapeutic effects for various legitimate medical conditions, it is also the case that an increasing number of these unregulated botanical products are consumed for recreational rather than for medical purposes. While the abuse liability of some natural products is well documented, many others have not undergone such evaluation in well-controlled scientific studies. Unlike single entity pharmaceutical products, botanicals contain a large number of diverse chemical constituents that often act synergistically to exert a given effect (Tyler, 1994). The type of extraction process utilized can have dramatic effects on the pharmacological activity of the plant product (Murray, 1992). The study of the abuse potential of botanical products requires a multidisciplinary effort consisting of expertise in ethnobotany, natural product chemistry, natural product extraction analytical chemistry, pharmacology and behavioral psychology. The ability to identify which plant constituents are associated with rewarding effects requires, an extraction/fractionation methodology that yields an array of plant extracts and fractions containing varying levels of individual constituents, an in vivo assay (e.g., place preference paradigm) capable of quantifying the rewarding properties of botanical products and a regression analysis that establishes a causal connection between the behavioral endpoints (i.e., predictor variable) and the plant constituent (i.e., criterion variable). The overall objective of this research project is to develop a standardized in vivo bioassay that can be used to screen botanical products with the goal of identifying constituents that possess rewarding properties in plants with an abuse liability. This project will utilize the expertise of natural product scientists at the National Center for Natural Products Research in providing the needed plant extracts and fractions for screening, and to subsequently identify the chemical identity of the active components. Quantification of the rewarding properties of these products will be done using the place preference paradigm. Multiple regression analyses wili identify active constituents within these plant extracts and fractions. These data will provide, in part, the necessary information to initiate controls and regulation of botanical products that may likely be harmful to consumers. In addition, these tests may help in the development of these compounds or their analogs as therapeutic agents.

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。各种各样的植物产品随时可供公众购买和消费。虽然这些产品中的许多产品可能确实对各种合法的医疗状况具有治疗效果，但越来越多的这些不受管制的植物产品被用于娱乐而不是医疗目的。虽然一些天然产品的滥用倾向是有据可查的，但许多其他天然产品尚未在严格控制的科学研究中进行过此类评估。与单一实体药物产品不同，植物药含有大量不同的化学成分，这些成分通常协同作用以发挥给定的作用（泰勒，1994）。所采用的提取工艺类型可能对植物产品的药理活性产生显著影响（Murray，1992）。对植物产品滥用可能性的研究需要多学科的努力，包括民族植物学、天然产品化学、天然产品提取分析化学、药理学和行为心理学方面的专门知识。鉴定哪些植物成分与奖励效应相关的能力需要提取/分级方法，其产生含有不同水平的单个成分的一系列植物提取物和级分，体内测定（例如，位置偏好范式）能够量化植物产品的奖励特性，并通过回归分析建立行为终点之间的因果关系（即，预测变量）和植物成分（即，标准变量）。该研究项目的总体目标是开发一种标准化的体内生物测定法，可用于筛选植物产品，目的是确定具有滥用倾向的植物中具有奖励性质的成分。该项目将利用国家天然产品研究中心的天然产品科学家的专业知识，提供筛选所需的植物提取物和馏分，并随后确定活性成分的化学特性。这些产品的奖励属性的量化将使用位置偏好范式。多元回归分析将鉴定这些植物提取物和级分中的活性成分。这些数据将部分提供必要的信息，以启动对可能对消费者有害的植物产品的控制和监管。此外，这些测试可能有助于开发这些化合物或其类似物作为治疗剂。