探索纤维化疾病网络以确定IPF的共同分子机制

E. Karatzas, A. Delis, G. Kolios, G. Spyrou
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引用次数: 2

摘要

纤维化疾病是影响很大一部分人口的不治之症。特发性肺纤维化是最常见的纤维化疾病之一,因此被研究。所有纤维化疾病的共同点是不可控的纤维形成,这是造成易感组织累积损伤的原因。纤维化疾病的潜在机制的过多和复杂性说明缺乏方案。因此,很有可能需要联合用药来对抗每一种干扰。在这项研究中,我们基于从生物学数据库获得的信息,试图确定纤维化疾病的共同生物学机制和特征,同时我们专注于特发性肺纤维化。我们也试图预测分子数据和他们各自的纤维化表型之间的联系。最后,我们构建了表型和分子网络,将它们可视化,并在每个网络上应用聚类算法来识别与特发性肺纤维化接近的纤维化疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Fibrotic Disease Networks to Identify Common Molecular Mechanisms with IPF
Fibrotic diseases constitute incurable maladies that affect a large portion of the population. Idiopathic Pulmonary Fibrosis is one of the most common, and thus studied, fibrotic diseases. Common ground among all fibrotic diseases is the uncontrollable fibrogenesis which is responsible for accumulated damage in the susceptible tissues. The plethora and complexity of the underlying mechanisms of fibrotic diseases account for the lack of regimens. Hence it is highly likely that a combination of drugs is required in order to counter every perturbation. In this study, we seek to identify common biological mechanisms and characteristics of fibrotic diseases, based on information acquired from biological databases, while we focus on Idiopathic Pulmonary Fibrosis. We also try to predict links between molecular data and their respective fibrotic phenotypes. We finally construct phenotypic and molecular networks, visualize them and apply a clustering algorithm on each network to identify fibrotic diseases that are close to Idiopathic Pulmonary Fibrosis.
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