以病理为导向的多重复合使综合性疾病映射成为可能
Malte Kuehl1,2,3,4,5, Yusuke Okabayashi6,7,8, Milagros N Wong9,10,11,12
1Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. malte.kuehl@clin.au.dk.
Nature
|July 18, 2025
概括
以病理为导向的多重复合 (PathoPlex) 能够在组织中进行详细的蛋白质分析,揭示病和糖尿病的疾病机制和治疗点. 这种先进的成像框架整合了多个生物层,
科学领域:
- 生物医学成像
- 分子病理学
- 计算生物学
背景情况:
- 蛋白质的表达和定位对于了解健康和疾病至关重要.
- 由于抗体面板的组成和图像分辨率,目前的多重成像技术在整合细胞和亚细胞生物层方面存在局限性.
- 在不同的生物尺度上分析复杂的蛋白质相互作用仍然是病理学的重大挑战.
研究的目的:
- 介绍PathoPlex,这是一个可扩展,质量可控制和可解释的框架,用于在亚细胞分辨率下高度多重化成像.
- 开发一种用于提取和解释跨生物层的蛋白共同表达模式的软件包.
- 为了证明PathoPlex在病和糖尿病中识别病理特征和治疗点的有用性.
主要方法:
- 帕索普莱克斯将高度多重化的成像 (超过140个80nm/像素的抗体,95个周期) 与专门的软件相结合.
- 该框架被优化为处理档案活检样本,使至少40个样本能够同时进行分析.
- 在细胞和亚细胞域中提取和分析了蛋白质共同表达模式 (集群).
主要成果:
- 帕索普莱克斯认为上皮细胞的JUN活性是免疫性病的关键因素.
- 对人类糖尿病病的分析将患者水平的蛋白质与器官功能障碍联系起来,并确定介导的管状应激作为治疗点.
- 在没有组织性病的2型糖尿病患者中发现了与脏压力相关的,并评估了对SGLT2抑制剂的反应.
结论:
- 在复杂组织中提供强大且可扩展的图像分析解决方案.
- 该框架有助于多重成像的民主化,使得人们能够更深入地了解疾病的机制.
- 支持新一代病理图谱的开发和帮助识别新的治疗策略.
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