Hao Wenrui, Marsh Clay, Friedman Avner
Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, United States of America.
Health Sciences Center South, West Virginia University, Morgantown, WV, United States of America.
PLoS One. 2015 Sep 8;10(9):e0135097. doi: 10.1371/journal.pone.0135097. eCollection 2015.
Idiopathic pulmonary fibrosis (IPF) is a disease of unknown etiology, and life expectancy of 3-5 years after diagnosis. The incidence rate in the United States is estimated as high as 15 per 100,000 persons per year. The disease is characterized by repeated injury to the alveolar epithelium, resulting in inflammation and deregulated repair, leading to scarring of the lung tissue, resulting in progressive dyspnea and hypoxemia. The disease has no cure, although new drugs are in clinical trials and two agents have been approved for use by the FDA. In the present paper we develop a mathematical model based on the interactions among cells and proteins that are involved in the progression of the disease. The model simulations are shown to be in agreement with available lung tissue data of human patients. The model can be used to explore the efficacy of potential drugs.
特发性肺纤维化(IPF)是一种病因不明的疾病,诊断后的预期寿命为3至5年。据估计,美国每年的发病率高达每10万人中有15人患病。该疾病的特征是肺泡上皮反复受损,导致炎症和修复失调,进而导致肺组织瘢痕化,引起进行性呼吸困难和低氧血症。尽管新药正在进行临床试验且有两种药物已获美国食品药品监督管理局(FDA)批准使用,但该疾病仍无法治愈。在本文中,我们基于参与该疾病进展的细胞和蛋白质之间的相互作用建立了一个数学模型。模型模拟结果与人类患者现有的肺组织数据一致。该模型可用于探索潜在药物的疗效。