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通过机器学习驱动的数字组织病理学,在母羊和羔羊中揭开韦塞尔布朗病毒诱导的肝炎
Llorenç Grau-Roma1,2,3, Simone de Brot1,3, Marta Zimoch3,4,5
1COMPATH, Institute of Animal Pathology, Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Länggassstrasse 122, Bern, 3012, Switzerland, unibe.ch.
Transboundary and emerging diseases
|February 16, 2026
概括
韦塞尔布朗病毒 (WSLV) 感染在反动物中引起严重的肝损伤,其特征是免疫细胞透和肝细胞增殖的增加. 数字组织病理学准确地量化了这些变化,突出显示了胰腺细胞参与疾病严重程度的因素.
科学领域:
- 兽医病理学 兽医病理学
- 数字病理学数字病理学
- 病毒学 病毒学
背景情况:
- 韦塞尔斯布朗病毒 (WSLV) 疾病是有动物感染潜力的反动物中显著的忽视型肝炎.
- 与WSLV感染相关的组织病变的了解很少.
- 数字组织病理学提供了一个客观的方法来评估组织变化.
研究的目的:
- 为了在母羊和羔羊中数字表征韦塞尔斯布朗病毒 (WSLV) 诱导的肝炎中的他的病理病变.
- 评估基于机器学习的数字遗传病理学在评估WSLV感染严重程度方面的实用性.
- 研究特定免疫细胞群和肝细胞增殖在WSLV肝炎中的作用.
主要方法:
- 使用免疫组织化学 (IHC) 对T细胞 (CD3),B细胞 (PAX5),质细胞 (Iba1) 和WSLV NS1蛋白进行数字组织病理学评估.
- 肝细胞增殖指数 (PI) 的评估,使用对阿尔金酶1和Ki67.7的双染色.
- 机器学习和全幻灯片成像被用于对甲固定嵌 (FFPE) 组织进行定量分析.
- 数字参数与WSLV病毒载量 (RT-qPCR) 和肝损伤标志物 (AST, bilirubin, ADA) 的相关性.
主要成果:
- 与对照组相比,WSLV感染的动物的淋巴细胞透和肝细胞PI显著增加.
- T细胞密度是B细胞密度的10倍,WSLV基因组之间存在差异.
- 数字组织病理学参数与病毒载量和肝损伤标志物有很强的相关性.
- 在Iba1+ (囊细胞) 密度和WSLV病毒载量之间观察到强有力的正相关性.
结论:
- 数字组织病理学为量化WSLV诱导的肝炎病变提供了可靠和客观的方法.
- 囊细胞在WSLV肝炎的发病过程中发挥着突出的作用.
- 这种方法提高了对反动物病毒性肝炎及其潜在的动物性疾病影响的理解.
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