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风湿性关节炎的计算机视觉分析Synovium揭示了淋巴细胞炎症与血液中的免疫球蛋白曲有关

Damon Frezza¹, Edward DiCarlo², Caryn Hale³

¹The MITRE Corporation, McLean, Virginia.

Arthritis & rheumatology (Hoboken, N.J.)

|July 18, 2023

概括

计算机视觉方法量化了类风湿性关节炎 (RA) 和骨关节炎 (OA) 中的突细胞聚合物. RA 显示细胞密度增加和免疫球蛋白基因表达在突和血液中的改变,反映了炎症.

科学领域:

免疫学免疫学免疫学
计算病理学计算病理学
类风湿病学类风湿病学

背景情况:

类风湿性关节炎 (RA) 的特征是结膜炎炎症.
在突组织中定量免疫细胞聚合物对于理解RA病变的产生至关重要.
目前用于突组织分析的方法存在局限性.

研究的目的:

开发和验证计算机视觉方法来量化突组织中的细胞聚合物.
将这些定量特征与RA和骨关节炎 (OA) 的临床和基因表达数据进行比较.

主要方法:

开发了一种计算机视觉管道,以量化突细胞和聚合物的五个特征.
这些特征与病理学家得分,疾病分类,自身抗体状态和RNA表达相比较.
该研究包括156名RA患者和149名OA患者.

主要成果:

这五种计算机视觉特征都与病理学家的淋巴细胞炎症得分相关.
与OA相比,RA (血清阳性和血清阴性) 中细胞密度特征较高.
总体特征 (数量,直径) 在血清阳性RA中高于OA,总体直径与免疫球蛋白基因表达相关.
在RA中,同胞免疫球蛋白异型从IGHM/IGHD倾斜到IGHG3/IGHG1,这种模式反映在血液中.

结论:

对突免疫细胞聚合物的自动定量可以识别疾病特异性模式.
在RA患者的突体中,免疫球蛋白异型从天真转向记忆的转变在血液中可检测到.
计算机视觉提供了一种强大的工具,用于剖析炎症性关节炎中的免疫细胞动态.

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