针对COVID-19的肺纤维化的基于代理的建模方法
Mohammad Aminul Islam1, Michael Getz2, Paul Macklin2
1Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York, United States of America.
PLoS computational biology
|December 21, 2023
概括
COVID-19可能导致肺纤维化. 一个新的模拟器显示,转化生长因子β (TGF-β) 源驱动纤维化进展,M2巨细胞发挥着关键作用. 向TGF-β可能有助于治疗肺纤维化.
科学领域:
- 计算生物学是一种计算生物学.
- 免疫学 免疫学 免疫学
- 病理学 病理学 病理学
背景情况:
- 由于COVID-19的流行,需要了解长期的后果,包括肺纤维化.
- 纤维细胞激活和细胞外基质沉积,由转化生长因子β (TGF-β) 调节,是纤维化的关键.
- 感染SARS-CoV-2可能会影响肺部愈合,增加纤维化风险.
研究的目的:
- 使用多尺度组织模拟器研究TGF-β来源在SARS-CoV-2感染后肺纤维化进展中的作用.
- 预测纤维细胞,TGF-β和虚拟肺组织中的原沉积的动态.
主要方法:
- 开发了一个开源的,多尺度的肺组织计算模型.
- 模拟SARS-CoV-2感染,免疫反应和TGF-β介导的纤维化过程.
- 多样化的TGF-β源行为 (空间分布,激活率,持续时间) 和分析结果.
主要成果:
- 根据TGF-β来源特征,原蛋白面积分数从2%到40%不等.
- 确定M2巨细胞是增加原沉积的主要贡献者.
- 持久的TGF-β来源,即使部分被去除,也会通过保持化学变异梯度来加剧纤维化.
结论:
- TGF-β源动力学显著影响肺纤维化进展.
- 对实验数据的计算模型验证支持其预测能力.
- 这些发现为针对TGF-β在肺纤维化治疗中的临床试验提供了洞察力.
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