Nishiguchi Tsuyoshi, Yamanishi Kyosuke, Patel Shivani, Malicoat Johnny R, Phuong Nathan James, Seki Tomoteru, Ishii Takaya, Aoyama Bun, Shimura Akiyoshi, Gorantla Nipun, Yamanashi Takehiko, Iwata Masaaki, Pieper Andrew A, Shinozaki Gen
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA.
Department of Neuropsychiatry, Faculty of Medicine, Tottori University, Yonago, Tottori, Japan.
Transl Psychiatry. 2024 Oct 3;14(1):413. doi: 10.1038/s41398-024-03130-4.
Delirium is a multifactorial medical condition of waxing and waning impairment across various domains of mental functioning over time. Importantly, delirium is also one of the greatest risk factors for prolonged hospitalization, morbidity, and mortality. Studying this important condition is challenging due to the difficulty in both objective diagnosis in patients and validation of laboratory models. As a result, there is a lack of protective treatments for delirium. Our recent studies report the efficacy of bispectral electroencephalography (BSEEG) in diagnosing delirium in patients and predicting patient outcomes, advancing the concept that this simple measure could represent an additional vital sign for patients. Here, we applied BSEEG to characterize and validate a novel lipopolysaccharide (LPS) mouse model of infection-related delirium. We then applied this model to evaluate the protective efficacy of three putative therapeutic agents: the conventional antipsychotic medication haloperidol, the neuroprotective compound P7C3-A20, and the antibiotic minocycline. Aged mice were more susceptible than young mice to LPS-induced aberration in BSEEG, reminiscent of the greater vulnerability of older adults to delirium. In both young and old mice, P7C3-A20 and minocycline administration prevented LPS-induced BSEEG abnormality. By contrast, haloperidol did not. P7C3-A20 and minocycline have been shown to limit different aspects of LPS toxicity, and our data offers proof of principle that these agents might help protect patients from developing infection-related delirium. Thus, utilization of BSEEG in a mouse model for infection-related delirium can identify putative therapeutic agents for applications in patient clinical trials.
谵妄是一种多因素导致的医学状况,随着时间推移,精神功能的各个领域会出现波动式损害。重要的是,谵妄也是导致住院时间延长、发病率和死亡率升高的最大风险因素之一。由于对患者进行客观诊断以及验证实验室模型都存在困难,研究这种重要病症具有挑战性。因此,目前缺乏针对谵妄的保护性治疗方法。我们最近的研究报告了脑电双频谱分析(BSEEG)在诊断患者谵妄和预测患者预后方面的有效性,提出了这一简单测量方法可能代表患者另一重要生命体征的概念。在此,我们应用BSEEG来表征和验证一种新型的与感染相关的谵妄脂多糖(LPS)小鼠模型。然后,我们应用该模型评估三种假定治疗药物的保护效果:传统抗精神病药物氟哌啶醇、神经保护化合物P7C3 - A20和抗生素米诺环素。老年小鼠比幼年小鼠更容易受到LPS诱导的BSEEG异常影响,这让人联想到老年人更容易发生谵妄。在幼年和老年小鼠中,给予P7C3 - A20和米诺环素可预防LPS诱导的BSEEG异常。相比之下,氟哌啶醇则不能。P7C3 - A20和米诺环素已被证明可限制LPS毒性的不同方面,我们的数据提供了原理证明,即这些药物可能有助于保护患者免受感染相关谵妄的影响。因此,在与感染相关的谵妄小鼠模型中使用BSEEG可以识别出有望用于患者临床试验的治疗药物。