Patarino Makenzie, Wang Ziheng Christina, Wong Katrina, Lee Suhjung Janet, Skillen Emma, Nag Richa, Baskin Britahny, Schindler Abigail G
Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA 98195.
Graduate Program in Neuroscience, University of Washington, Seattle, WA, USA 98195.
bioRxiv. 2024 Aug 23:2024.08.22.609245. doi: 10.1101/2024.08.22.609245.
Polysubstance use is prevalent in the population but remains understudied in preclinical models. Alcohol and opioid polysubstance use is associated with negative outcomes, worse treatment prognosis, and higher overdose risk; but underlying mechanisms are still being uncovered. Examining factors that motivate use of one substance over another in different contexts in preclinical models will better our understanding of polysubstance use and improve translational value. Here we assessed baseline anxiety-like and locomotive behavior and then measured voluntary consumption of multiple doses of alcohol and fentanyl in group housed male and female mice using our novel Socially Integrated Polysubstance (SIP) system. Fifty-six male (n=32) and female (n=24) adult mice were housed in groups of 4 for one week with continuous access to food, water, two doses of ethanol (5% and 10%) and two doses of fentanyl (5 ug/ml and 20 ug/ml). Our analyses revealed sex differences across multiple domains - female mice consumed more liquid in the dark cycle, had higher activity, a higher preference for both ethanol and fentanyl over water, and their fentanyl preference increased over the seven days. We then used machine-learning techniques to reveal underlying relationships between baseline behavioral phenotypes and subsequent polysubstance consumption patterns, where anxiety-and risk-taking-like behavioral phenotypes mapped onto discrete patterns of polysubstance use, preference, and escalation. By simulating more translationally relevant substance use and improving our understanding of the motivations for different patterns of consumption, this study contributes to the developing preclinical literature on polysubstance use with the goal of facilitating better treatment outcomes and novel therapeutic strategies.
多物质使用在人群中很普遍,但在临床前模型中仍未得到充分研究。酒精和阿片类多物质使用与负面结果、更差的治疗预后和更高的过量风险相关;但其潜在机制仍在探索之中。在临床前模型中研究在不同情境下促使使用一种物质而非另一种物质的因素,将有助于我们更好地理解多物质使用并提高转化价值。在此,我们评估了基线焦虑样行为和运动行为,然后使用我们新颖的社会整合多物质(SIP)系统,测量了群居雄性和雌性小鼠对多剂量酒精和芬太尼的自愿摄入量。56只成年雄性(n = 32)和雌性(n = 24)小鼠以每组4只的方式饲养一周,可持续获取食物、水、两种剂量的乙醇(5%和10%)以及两种剂量的芬太尼(5微克/毫升和20微克/毫升)。我们的分析揭示了多个方面的性别差异——雌性小鼠在暗周期消耗更多液体,活动量更高,对乙醇和芬太尼的偏好均高于水,并且它们对芬太尼的偏好在七天内有所增加。然后,我们使用机器学习技术揭示基线行为表型与随后的多物质消费模式之间的潜在关系,其中焦虑样和冒险样行为表型映射到多物质使用、偏好和升级的离散模式上。通过模拟更具转化相关性的物质使用情况并增进我们对不同消费模式动机的理解,本研究为不断发展的多物质使用临床前文献做出了贡献,目标是促进更好的治疗结果和新的治疗策略。