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隐球菌性脑膜脑炎的小鼠模型中的免疫学分析。

Immunological Analysis of Cryptococcal Meningoencephalitis in a Murine Model.

机构信息

Department of Veterans Affairs Health System, Research Service, Ann Arbor VA Healthcare System, Ann Arbor, MI, USA.

Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI, USA.

出版信息

Methods Mol Biol. 2023;2667:71-86. doi: 10.1007/978-1-0716-3199-7_5.

Abstract

Cryptococcal meningoencephalitis (CM), caused by the fungal pathogen Cryptococcus neoformans species complex, can lead to high mortality or severe neurological sequelae in survivors that are associated with excessive inflammation in the central nervous system (CNS), especially in those who develop immune reconstitution inflammatory syndrome (IRIS) or postinfectious immune response syndrome (PIIRS). While the means to establish a cause-and-effect relationship of a specific pathogenic immune pathway during CM by human studies are limited, mouse models allow dissection of the potential mechanistic links within the CNS immunological network. In particular, these models are useful for separating pathways contributing predominantly to immunopathology from those important for fungal clearance. In this protocol, we described methods to induce a robust, physiologically relevant murine model of C. neoformans CNS infection that reproduces multiple aspects of human cryptococcal disease immunopathology and subsequent detailed immunological analysis. Combined with tools including gene knockout mice, antibody blockade, cell adoptive transfer, as well as high throughput techniques such as single-cell RNA sequencing, studies using this model will provide new insights regarding the cellular and molecular processes that elucidate the pathogenesis of cryptococcal CNS diseases in order to develop more effective therapeutic strategies.

摘要

新型隐球菌脑膜炎(CM)由真菌病原体新型隐球菌复合体引起,可导致中枢神经系统(CNS)过度炎症,幸存者死亡率高或遗留严重神经后遗症,尤其是那些发生免疫重建炎症综合征(IRIS)或感染后免疫反应综合征(PIIRS)的患者。虽然通过人体研究确定 CM 特定致病免疫途径因果关系的方法有限,但小鼠模型可用于剖析 CNS 免疫网络中的潜在机制联系。特别是,这些模型对于从清除真菌的角度来区分主要导致免疫病理学的途径和重要途径非常有用。在本方案中,我们描述了诱导新型隐球菌 CNS 感染的强健、生理相关的小鼠模型的方法,该模型再现了人类隐球菌病免疫病理学的多个方面以及随后的详细免疫学分析。结合包括基因敲除小鼠、抗体阻断、细胞过继转移以及单细胞 RNA 测序等高通量技术,使用该模型的研究将为阐明新型隐球菌 CNS 疾病发病机制的细胞和分子过程提供新的见解,以便开发更有效的治疗策略。

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