关键词: COVID-19 Imaging mass cytometry Long-COVID Microglia Neuro-long-COVID-19 PACS PCC Post-COVID condition Post-acute COVID syndrome SARS-CoV-2

Mesh : Humans COVID-19 / immunology Immunity, Innate / immunology Brain / immunology pathology Male Female Middle Aged Aged Microglia / immunology pathology Adult CD8-Positive T-Lymphocytes / immunology SARS-CoV-2 / immunology Cicatrix / immunology pathology Machine Learning

来  源:   DOI:10.1007/s00401-024-02770-6   PDF(Pubmed)

Abstract:
The underlying pathogenesis of neurological sequelae in post-COVID-19 patients remains unclear. Here, we used multidimensional spatial immune phenotyping and machine learning methods on brains from initial COVID-19 survivors to identify the biological correlate associated with previous SARS-CoV-2 challenge. Compared to healthy controls, individuals with post-COVID-19 revealed a high percentage of TMEM119+P2RY12+CD68+Iba1+HLA-DR+CD11c+SCAMP2+ microglia assembled in prototypical cellular nodules. In contrast to acute SARS-CoV-2 cases, the frequency of CD8+ parenchymal T cells was reduced, suggesting an immune shift toward innate immune activation that may contribute to neurological alterations in post-COVID-19 patients.
摘要:
COVID-19后患者神经系统后遗症的潜在发病机制尚不清楚。这里,我们使用多维空间免疫表型和机器学习方法对初始COVID-19幸存者的大脑进行分析,以确定与之前SARS-CoV-2攻击相关的生物学相关性.与健康对照相比,患有COVID-19后的个体显示,在原型细胞结节中组装的TMEM119+P2RY12+CD68+Iba1+HLA-DR+CD11c+SCAMP2+小胶质细胞的比例很高。与急性SARS-CoV-2病例相比,CD8+实质T细胞的频率降低,提示免疫向先天免疫激活转变,这可能导致COVID-19后患者的神经系统改变。
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