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通过动力学血液学分析增加 MERS 冠状病毒发病机制的小鼠模型的转化。

Increasing the translation of mouse models of MERS coronavirus pathogenesis through kinetic hematological analysis.

机构信息

Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.

出版信息

PLoS One. 2019 Jul 24;14(7):e0220126. doi: 10.1371/journal.pone.0220126. eCollection 2019.

Abstract

Newly emerging viral pathogens pose a constant and unpredictable threat to human and animal health. Coronaviruses (CoVs) have a penchant for sudden emergence, as evidenced by severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome CoV (MERS-CoV) and most recently, swine acute diarrhea syndrome coronavirus (SADS-CoV). Small animal models of emerging viral pathogenesis are crucial to better understand the virus and host factors driving disease progression. However, rodent models are often criticized for their limited translatability to humans. The complete blood count is the most ordered clinical test in the United States serving as the cornerstone of clinical medicine and differential diagnosis. We recently generated a mouse model for MERS-CoV pathogenesis through the humanization of the orthologous entry receptor dipeptidyl peptidase 4 (DPP4). To increase the translatability of this model, we validated and established the use of an automated veterinary hematology analyzer (VetScan HM5) at biosafety level 3 for analysis of peripheral blood. MERS-CoV lung titer peaked 2 days post infection concurrent with lymphopenia and neutrophilia in peripheral blood, two phenomena also observed in MERS-CoV infection of humans. The fluctuations in leukocyte populations measured by Vetscan HM5 were corroborated by standard flow cytometry, thus confirming the utility of this approach. Comparing a sublethal and lethal dose of MERS-CoV in mice, analysis of daily blood draws demonstrates a dose dependent modulation of leukocytes. Major leukocyte populations were modulated before weight loss was observed. Importantly, neutrophil counts on 1dpi were predictive of disease severity with a lethal dose of MERS-CoV highlighting the predictive value of hematology in this model. Taken together, the inclusion of hematological measures in mouse models of emerging viral pathogenesis increases their translatability and should elevate the preclinical evaluation of MERS-CoV therapeutics and vaccines to better mirror the complexity of the human condition.

摘要

新兴病毒病原体对人类和动物健康构成持续且不可预测的威胁。冠状病毒 (CoV) 具有突然出现的倾向,这一点从严重急性呼吸综合征冠状病毒 (SARS-CoV)、中东呼吸综合征冠状病毒 (MERS-CoV) 和最近的猪急性腹泻综合征冠状病毒 (SADS-CoV) 中可见一斑。新兴病毒发病机制的小动物模型对于更好地了解驱动疾病进展的病毒和宿主因素至关重要。然而,啮齿动物模型通常因其对人类的翻译能力有限而受到批评。全血细胞计数是美国最常进行的临床检测,是临床医学和鉴别诊断的基石。我们最近通过同源进入受体二肽基肽酶 4 (DPP4) 的人源化,建立了一个用于 MERS-CoV 发病机制的小鼠模型。为了提高该模型的翻译能力,我们在 3 级生物安全水平下验证并建立了使用自动化兽医血液分析仪 (VetScan HM5) 分析外周血的方法。MERS-CoV 肺部滴度在感染后第 2 天达到峰值,同时外周血出现淋巴细胞减少和中性粒细胞增多,这两种现象也见于 MERS-CoV 感染人类。VetScan HM5 测量的白细胞群波动通过标准流式细胞术得到证实,从而证实了这种方法的实用性。比较 MERS-CoV 在小鼠中的亚致死剂量和致死剂量,每日血液分析表明白细胞存在剂量依赖性调节。主要白细胞群在体重减轻之前被调节。重要的是,在感染 MERS-CoV 的第 1 天的中性粒细胞计数可预测疾病严重程度,提示该模型中血液学的预测价值。总之,在新兴病毒发病机制的小鼠模型中纳入血液学测量可提高其翻译能力,并应提高 MERS-CoV 治疗方法和疫苗的临床前评估,以更好地反映人类病情的复杂性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c49f/6655769/200fc2a6b01d/pone.0220126.g001.jpg

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