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从系统生物学到精准医学:在呼吸医学中的应用。

From systems biology to P4 medicine: applications in respiratory medicine.

机构信息

Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.

CIBER Enfermedades Respiratorias (CIBERES), Barcelona, Spain.

出版信息

Eur Respir Rev. 2018 Feb 7;27(147). doi: 10.1183/16000617.0110-2017. Print 2018 Mar 31.

DOI:10.1183/16000617.0110-2017
PMID:29436404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9489012/
Abstract

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.

摘要

人类健康和疾病是复杂、非线性、动态多层次生物系统(人体)的涌现特性。系统生物学是一种全面的研究策略,有潜力从整体上理解这些涌现特性。它源于医学诊断、“组学”数据和生物信息计算能力的进步。它为“P4 医学”(预测性、预防性、个体化和参与性)铺平了道路,旨在更好地进行预防性干预以保持健康或进行治疗以治愈疾病。在这篇综述中,我们:1)讨论系统生物学的原理;2)详细阐述 P4 医学如何有可能将医疗保健从反应性医学(治疗疾病)转变为预测和预防疾病,这将是一场个性化的、本质上是概率性的和参与性驱动的革命;3)综述网络(系统)医学在三种常见呼吸系统疾病(慢性阻塞性肺疾病、哮喘和肺癌)中的当前现状;4)概述该领域当前的挑战和未来目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ad/9489012/b1a82aa0706f/ERR-0110-2017.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ad/9489012/b1a82aa0706f/ERR-0110-2017.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43ad/9489012/b1a82aa0706f/ERR-0110-2017.02.jpg

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2
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Eur Respir J. 2017 Sep 27;50(3). doi: 10.1183/13993003.00075-2017. Print 2017 Sep.
3
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4
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Heliyon. 2023 Nov 14;9(11):e22285. doi: 10.1016/j.heliyon.2023.e22285. eCollection 2023 Nov.
5
Walking the path of treatable traits in interstitial lung diseases.在间质性肺疾病中探寻可治疗的特征。
Respir Res. 2023 Oct 24;24(1):251. doi: 10.1186/s12931-023-02554-8.
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7
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8
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9
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ERJ Open Res. 2021 Mar 22;7(1). doi: 10.1183/23120541.00658-2020. eCollection 2021 Jan.
10
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Netw Syst Med. 2020 Jul 6;3(1):67-90. doi: 10.1089/nsm.2020.0004. eCollection 2020.
Oncotarget. 2017 Apr 13;8(31):50761-50773. doi: 10.18632/oncotarget.17098. eCollection 2017 Aug 1.
4
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Lancet. 2017 Sep 2;390(10098):980-987. doi: 10.1016/S0140-6736(17)32136-0.
5
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6
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J Thorac Dis. 2017 Jan;9(1):42-53. doi: 10.21037/jtd.2017.01.04.