From systems biology to P4 medicine: applications in respiratory medicine

被引：31

作者：

Noell, Guillaume ^{[1
,2
]}

Faner, Rosa ^{[1
,2
]}

Agusti, Alvar ^{[1
,2
,3
]}

机构：

[1] Inst Invest Biomed August Pi & Sunyer IDIBAPS, Barcelona, Spain

[2] CIBER Enfermedades Resp CIBERES, Barcelona, Spain

[3] Univ Barcelona, Hosp Clin, Resp Inst, Barcelona, Spain

来源：

EUROPEAN RESPIRATORY REVIEW | 2018年 / 27卷 / 147期

关键词：

DATA INTEGRATION FRAMEWORK; LUNG-CANCER RISK; PERSONALIZED MEDICINE; NETWORK ANALYSIS; CLUSTER-ANALYSIS; GENOMIC DATA; FUNDAMENTAL-CONCEPTS; ENRICHMENT ANALYSIS; BIG DATA; MODEL;

D O I：

10.1183/16000617.0110-2017

中图分类号：

R56 [呼吸系及胸部疾病];

学科分类号：

摘要：

Human health and disease are emergent properties of a complex, nonlinear, dynamic multilevel biological system: the human body. Systems biology is a comprehensive research strategy that has the potential to understand these emergent properties holistically. It stems from advancements in medical diagnostics, "omics" data and bioinformatic computing power. It paves the way forward towards "P4 medicine" (predictive, preventive, personalised and participatory), which seeks to better intervene preventively to preserve health or therapeutically to cure diseases. In this review, we: 1) discuss the principles of systems biology; 2) elaborate on how P4 medicine has the potential to shift healthcare from reactive medicine (treatment of illness) to predict and prevent illness, in a revolution that will be personalised in nature, probabilistic in essence and participatory driven; 3) review the current state of the art of network (systems) medicine in three prevalent respiratory diseases (chronic obstructive pulmonary disease, asthma and lung cancer); and 4) outline current challenges and future goals in the field.

引用

页数：15

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