Department of Computer Science, Baylor University, Waco, TX, USA.
Department of Computer Science, Baylor University, Waco, TX, USA.
Alcohol. 2023 Dec;113:41-48. doi: 10.1016/j.alcohol.2023.07.002. Epub 2023 Jul 27.
The Non-Human Primate (NHP) model for the study of Alcohol Use Disorders (AUD) as developed in our laboratories is critical to our understanding of the pathophysiology of voluntary, chronic, ethanol consumption. Previous work in this model established categories of ethanol consumption that parallel reported categories of human consumption across a spectrum spanning low drinking, binge drinking, heavy drinking, and very heavy drinking, albeit at generally higher daily intakes across categories than documented in people. Original categories assigned to ethanol consumption patterns were established using a limited cohort of rhesus macaques. This study revisits the validity of categorical drinking using an additional 28 monkeys. In addition to finding categorical representations consistent with the original 2014 report, our findings demonstrate that drinking categories remain stable across the observed 12 months of nearly consistent access to ethanol (22 h/day), termed "open access". Animals occupying the two ends of the spectrum, "low" and "very heavy" drinkers, exhibit the largest stability. The findings also indicate a slight escalatory drift over time, with very heavy drinking animals experiencing fatigue near the end of open access.
我们实验室开发的用于研究酒精使用障碍（AUD）的非人类灵长类动物（NHP）模型对于我们理解自愿性、慢性、乙醇消费的病理生理学至关重要。该模型中的先前工作确定了乙醇消费的类别，这些类别与报告的人类消费类别相平行，涵盖了从低饮酒、 binge drinking、重度饮酒到极重度饮酒的范围，尽管在各类别下的每日摄入量通常高于人群中的报告。最初分配给乙醇消费模式的类别是使用一组有限的恒河猴确定的。本研究使用另外 28 只猴子重新评估了分类饮酒的有效性。除了发现与 2014 年原始报告一致的分类表示外，我们的研究结果还表明，在近 12 个月几乎持续接触乙醇（22 小时/天）的“开放接入”条件下，饮酒类别仍然保持稳定。在“低”和“极重”饮酒者两个极端的动物表现出最大的稳定性。这些发现还表明随着时间的推移略有上升趋势，极重度饮酒的动物在开放接入结束时会出现疲劳。
