Bjornson-Hooper Zachary B, Fragiadakis Gabriela K, Spitzer Matthew H, Chen Han, Madhireddy Deepthi, Hu Kevin, Lundsten Kelly, McIlwain David R, Nolan Garry P
Department of Microbiology and Immunology, Stanford University, Stanford, CA, United States.
Department of Medicine, Division of Rheumatology, University of California San Francisco, San Francisco, CA, United States.
Front Immunol. 2022 Mar 11;13:867015. doi: 10.3389/fimmu.2022.867015. eCollection 2022.
Animal models are an integral part of the drug development and evaluation process. However, they are unsurprisingly imperfect reflections of humans, and the extent and nature of many immunological differences are unknown. With the rise of targeted and biological therapeutics, it is increasingly important that we understand the molecular differences in the immunological behavior of humans and model organisms. However, very few antibodies are raised against non-human primate antigens, and databases of cross-reactivity between species are incomplete. Thus, we screened 332 antibodies in five immune cell populations in blood from humans and four non-human primate species generating a comprehensive cross-reactivity catalog that includes cell type-specificity. We used this catalog to create large mass cytometry universal cross-species phenotyping and signaling panels for humans, along with three of the model organisms most similar to humans: rhesus and cynomolgus macaques and African green monkeys; and one of the mammalian models most widely used in drug development: C57BL/6 mice. As a proof-of-principle, we measured immune cell signaling responses across all five species to an array of 15 stimuli using mass cytometry. We found numerous instances of different cellular phenotypes and immune signaling events occurring within and between species, and detailed three examples (double-positive T cell frequency and signaling; granulocyte response to antigen; and B cell subsets). We also explore the correlation of herpes simian B virus serostatus on the immune profile. Antibody panels and the full dataset generated are available online as a resource to enable future studies comparing immune responses across species during the evaluation of therapeutics.
动物模型是药物开发和评估过程中不可或缺的一部分。然而,它们对人类的反映并不完美,这并不奇怪,而且许多免疫差异的程度和性质尚不清楚。随着靶向治疗和生物治疗的兴起,了解人类和模式生物免疫行为的分子差异变得越来越重要。然而,针对非人类灵长类动物抗原产生的抗体非常少,而且物种间交叉反应性的数据库也不完整。因此,我们在人类和四种非人类灵长类动物的血液中的五个免疫细胞群体中筛选了332种抗体,生成了一个全面的交叉反应性目录,其中包括细胞类型特异性。我们利用这个目录为人类以及与人类最相似的三种模式生物(恒河猴、食蟹猴和非洲绿猴)和药物开发中使用最广泛的哺乳动物模型之一(C57BL/6小鼠)创建了大型质谱流式细胞术通用跨物种表型分析和信号转导面板。作为原理验证,我们使用质谱流式细胞术测量了所有五个物种对一系列15种刺激的免疫细胞信号反应。我们发现了许多种内和种间不同细胞表型和免疫信号事件的实例,并详细介绍了三个例子(双阳性T细胞频率和信号转导;粒细胞对抗原的反应;以及B细胞亚群)。我们还探讨了猿猴B病毒血清状态与免疫谱的相关性。所生成的抗体面板和完整数据集可在线获取,作为一种资源,以便未来在治疗评估过程中比较跨物种免疫反应的研究使用。