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肺部疾病的系统医学:癌症、感染和过敏中的表型与精准医学

Systems Medicine for Lung Diseases: Phenotypes and Precision Medicine in Cancer, Infection, and Allergy.

作者信息

Schmeck Bernd, Bertrams Wilhelm, Lai Xin, Vera Julio

机构信息

Pulmonary and Critical Care Medicine, Department of Medicine, University Medical Center Marburg, Philipps-University Marburg, Marburg, Germany.

Systems Biology Platform, Institute for Lung Research/iLung, German Center for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps-University Marburg, Hans-Meerwein-Straße 2, 35043, Marburg, Germany.

出版信息

Methods Mol Biol. 2016;1386:119-33. doi: 10.1007/978-1-4939-3283-2_8.

Abstract

Lung diseases cause an enormous socioeconomic burden. Four of them are among the ten most important causes of deaths worldwide: Pneumonia has the highest death toll of all infectious diseases, lung cancer kills the most people of all malignant proliferative disorders, chronic obstructive pulmonary disease (COPD) ranks third in mortality among the chronic noncommunicable diseases, and tuberculosis is still one of the most important chronic infectious diseases. Despite all efforts, for example, by the World Health Organization and clinical and experimental researchers, these diseases are still highly prevalent and harmful. This is in part due to the specific organization of tissue homeostasis, architecture, and immunity of the lung. Recently, several consortia have formed and aim to bring together clinical and molecular data from big cohorts of patients with lung diseases with novel experimental setups, biostatistics, bioinformatics, and mathematical modeling. This "systems medicine" concept will help to match the different disease modalities with adequate therapeutic and possibly preventive strategies for individual patients in the sense of precision medicine.

摘要

肺部疾病造成了巨大的社会经济负担。其中四种疾病位列全球十大主要死因:肺炎是所有传染病中致死人数最多的,肺癌是所有恶性增殖性疾病中致死人数最多的,慢性阻塞性肺疾病(COPD)在慢性非传染性疾病死亡率中排名第三,而结核病仍然是最重要的慢性传染病之一。尽管世界卫生组织以及临床和实验研究人员付出了诸多努力,但这些疾病仍然高度流行且危害极大。这部分归因于肺部组织稳态、结构和免疫的特殊组织形式。最近,几个联盟已经成立,旨在将来自大量肺部疾病患者队列的临床和分子数据与新颖的实验设置、生物统计学、生物信息学和数学建模结合起来。这种“系统医学”概念将有助于在精准医学的意义上,为个体患者将不同的疾病模式与适当的治疗和可能的预防策略相匹配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b029/7153428/2b4cb3cb7d1f/321839_1_En_8_Fig1_HTML.jpg

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