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在位炎症的免疫细胞量化将人类狼性炎分为机械性亚型

Gabriel Casella¹, Madeleine S Torcasso¹, Junting Ai¹

¹Section of Rheumatology and Gwen and Jules Knapp Center for Immunology and , University of Chicago, Chicago, United States of America.

The Journal of clinical investigation

|September 4, 2025

概括

狼性炎 (LuN) 的管间炎症是复杂的. 新方法揭示了独特的免疫细胞模式,通过其潜在的免疫机制来分类LuN.

科学领域:

免疫学和病理学
空间转录和生物信息学
免疫细胞在病中的表征

背景情况:

狼性炎 (LuN) 中的管间炎症 (TII) 是一个关键的预后因素,但其复杂性仍然不明.
现有的知识差距阻碍了对 LuN 的 TII 异质性的全面理解.

研究的目的:

综合分析皮质免疫细胞群的复杂性和异质性.
为了比较免疫细胞组织的LuN,移植排斥 (RAR) 和正常的脏.
建立一个将 LuN 分成离散机械类别的框架.

主要方法:

使用高维共聚焦显微镜和空间转录学.
使用专门的计算机视觉技术来定量和定位免疫细胞.
分析了54个未识别的人类脏活检,包括LuN,RAR和正常对照.

主要成果:

确定了33个免疫细胞群,在LuN和RAR中形成一致的利基组织.
开发了"免疫细胞轨迹",以根据免疫细胞亚群的流行和密度来表征炎症状态.
证明LuN异质性可以通过骨髓细胞轨迹定义,而RAR则涉及额外的T细胞轨迹.

结论:

建立了对炎和免疫细胞组织的规则.
提供了将LuN分为不同的机械子类型的新方法.
突出了 LuN 与 RAR 免疫反应的不同复杂性.

关键词:

自免疫性疾病自体免疫性免疫学狼机器学习

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