生物信息学在慢性阻塞性肺疾病研究中的意义

Hong Chen, Xiangdong Wang
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引用次数: 14

摘要

慢性阻塞性肺疾病(Chronic obstructive pulmonary disease, COPD)是一种以肺功能进行性恶化、气道阻塞加重为特征的炎症性疾病,在世界范围内具有很高的道德性。高通量组学技术的出现为深入了解导致异质性的疾病发病机制和过程提供了机会,并找到了靶向特异性和疾病特异性治疗方法。作为一门交叉学科,生物信息学为COPD的综合认识提供了重要信息。本文综述了生物信息学在COPD研究中的应用,包括生物标志物搜索和系统生物学。我们还提出了在COPD研究中实施生物信息学的要求和挑战,并为临床医生解释了这些结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Significance of bioinformatics in research of chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is an inflammatory disease characterized by the progressive deterioration of pulmonary function and increasing airway obstruction, with high morality all over the world. The advent of high-throughput omics techniques provided an opportunity to gain insights into disease pathogenesis and process which contribute to the heterogeneity, and find target-specific and disease-specific therapies. As an interdispline, bioinformatics supplied vital information on integrative understanding of COPD. This review focused on application of bioinformatics in COPD study, including biomarkers searching and systems biology. We also presented the requirements and challenges in implementing bioinformatics to COPD research and interpreted these results as clinical physicians.

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