课题基金 / 基金详情

Assessment of Pioglitazone to Address Stress Reactivity and Alcohol Use Disorder

Assessment of Pioglitazone to Address Stress Reactivity and Alcohol Use Disorder
吡格列酮解决应激反应和酒精使用障碍的评估
批准号:
10491667
负责人:
Jin Ho Yoon
金额:
$18.53万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-20 至 2024-08-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
ABSTRACT Alcohol use disorder (AUD) is significant public health concern. Stress is a central component in modern theories of alcohol use, and stress is intimately related to drinking for many individuals. There are a number of approved medications for AUD, but the majority of individuals do not respond to these medications and no medications address the role of stress. The current proposal looks affect alcohol use by targeting stress-related systems in the body through peroxisome proliferator-activated receptors (PPARs), which may effect stress reactivity, stress-induced alcohol craving, and alcohol use. Pioglitazone (Actos) targets PPARγ and is FDA- approved for treating individuals with diabetes and metabolic disorders. Promising results from both human trials and animal research suggest that pioglitazone holds great promising for addressing AUD, including preliminary data from our own research. The current proposal will attempt to expand on our preliminary findings targeting alcohol use among treatment-seeking individuals with AUD and elevated stress and/or anxiety with the following specific aims: 1) to assess if pioglitazone decreases stress reactivity and stress- induced craving in a human laboratory model; and 2) to assess if pioglitazone changes weekly psychometric reports of stress/anxiety, craving, and alcohol consumption. Notable strengths of the current proposal include: 1) targeting individuals with elevated stress/anxiety and AUD; 2) biological assessment of stress reactivity (heart rate, blood pressure, salivary cortisol); 3) a multi-dimensional assessment of alcohol craving incorporating relatively novel behavioral economic measures (i.e., alcohol demand, delay discounting); and 4) inclusion of powerful Bayesian statistical tools that are well suited for smaller samples, such as the current proposal.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金