Innovative Alcohol Intake Pattern Measurement for Human and Animal Model Research

描述（由申请人提供）： 国家酒精研究中心（ARC）在公共卫生研究所（PHI）的酒精问题流行病学，酒精研究小组（ARG），埃默里维尔，加利福尼亚州（以下简称流行病学中心或PHI中心）建议就以下主题召开中心主任会议：2010年10月19日和20日在加州伯克利举行的人类和动物模型研究的创新酒精摄入模式测量。这项R13会议资助申请响应了PA-08-0149，其主题响应了美国国家酒精滥用和酒精中毒研究所（NIAAA）校外咨询委员会于2006年8月提出的第一项研究优先建议，旨在指导活动NIAAA流行病学和预防部门：“鼓励系统地努力改善和标准化酒精暴露模式的措施（急性，近期或当前历史，以及整个生命周期），并鼓励它们在不同的赠款，机构，国家和医疗系统中应用。“一项相关的建议侧重于改进对酒精暴露模式的衡量，以确定其对发病率和死亡率的影响。虽然PHI流行病学中心寻求解决人类和人口研究中的这些优先事项，但其他酒精研究中心专注于涉及生物，临床和社区系统的广泛主题，包括人类和动物模型研究。最近在自我报告测量酒精摄入模式方面取得了进展。包括生理测量在内的创新技术已被用于验证新的测量方法，这些方法显示出更高的准确性、全国销售范围以及预测酒精依赖和急性危害的能力。在酒精影响的基础生物医学研究中，测量技术也取得了类似的进展。会议旨在汇集酒精研究中心的高级领导人，审查和讨论在人群和临床研究中以及动物模型研究中酒精消费模式测量的新工作，这是酒精使用障碍（AUD）病因学基础研究中许多进展的核心。我们在这个时候的申请是由NIAAA邀请主办下一次中心主任会议在2010年秋季提示。NIAAA要求我们为此目的申请R13会议补助金。会议将有一个广泛的，多学科的观点，并从事NIAAA及其酒精研究中心在尖端方面的主题，我们已经选择。我们计划编辑一份期刊的特刊，收集会议上的演讲，并将其带给更广泛的受众。 公共卫生相关性： 相关性：现在是时候举行一次跨学科和翻译会议的高级中心领导人对酒精模式测量，将跨越流行病学，临床和预防研究，以及依赖于动物模型的基础生物科学领域。由此引发的交叉施肥和合作将有可能通过分享实时乙醇摄入量测量技术和血液酒精水平指标来加快科学的步伐，这对于更好地了解与酒精相关的发病率和死亡率至关重要。

DESCRIPTION (provided by applicant): The National Alcohol Research Center (ARC) on the Epidemiology of Alcohol Problems at the Public Health Institute (PHI), Alcohol Research Group (ARG), Emeryville, CA (hereafter the Epidemiology Center or PHI Center), proposes to hold a Center Directors Meeting on the following topic: Innovative Alcohol Intake Pattern Measurement for Human and Animal Model Research on October 19 and 20, 2010 in Berkeley, California. This application for a R13 conference grant responds to PA-08-0149 and its theme is responsive to the first research priority recommendation made by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Extramural Advisory Committee, August 2006, intended to guide activities of the NIAAA Division of Epidemiology and Prevention: "Encourage systematic efforts to improve and standardize measures of patterns of alcohol exposure (acute, recent, or current history, and across the lifespan) and encourage their application across different grants, institutes, countries, and the medical system." A related recommendation focused on improving measurement of patterns of alcohol exposure to establish their effects on morbidity and mortality. While the PHI Epidemiology Center seeks to address these priorities in human and population studies, other Alcohol Research Centers focus on a wide range of topics involving biological, clinical, and community systems, including both human and animal model research. Recent advances have been made in self-report measurement of patterns of alcohol intake. Innovative technologies including physiological measures have been used to validate the new measures which have shown greater precision, coverage of national sales, and ability to predict alcohol dependence and acute harms. Similar advances are being made in measurement techniques in basic biomedical studies of alcohol effects. The meeting intends to bring together senior Alcohol Research Center leaders to examine and discuss the new work on alcohol consumption pattern measurement both in human population and clinical studies, and in animal model research that is at the heart of many of the advances in basic research on the etiology of alcohol use disorders (AUD). Our application at this time is prompted by an invitation from NIAAA to host the next Center Directors Meeting in the fall of 2010. The NIAAA has asked us to apply for the R13 Conference Grant for this purpose. The meeting would have a broad, multi- disciplinary viewpoint and engage the NIAAA and its Alcohol Research Centers in cutting-edge aspects of the topic we have selected. We plan to edit a special edition of a journal to collect the presentations at the meeting and bring them to a wider audience. PUBLIC HEALTH RELEVANCE: Relevance: It is timely to hold an interdisciplinary and translational meeting of senior Center leaders on alcohol pattern measurement that will cut across the fields of epidemiology, clinical and prevention research, and basic biological sciences relying on animal models. The cross fertilization and collaborations sparked will have the potential to accelerate the pace of science by sharing techniques of real-time ethanol intake measurement and indicators of blood alcohol level, crucial for better understanding alcohol-related morbidity and mortality.