慢性阻塞性肺疾病的异质性:健康风险评估、分层及管理面临的挑战

Chronic Obstructive Pulmonary Disease heterogeneity: challenges for health risk assessment, stratification and management.

作者信息

Roca Josep, Vargas Claudia, Cano Isaac, Selivanov Vitaly, Barreiro Esther, Maier Dieter, Falciani Francesco, Wagner Peter, Cascante Marta, Garcia-Aymerich Judith, Kalko Susana, De Mas Igor, Tegnér Jesper, Escarrabill Joan, Agustí Alvar, Gomez-Cabrero David

出版信息

J Transl Med. 2014 Nov 28;12 Suppl 2(Suppl 2):S3. doi: 10.1186/1479-5876-12-S2-S3.

Abstract

BACKGROUND AND HYPOTHESIS

Heterogeneity in clinical manifestations and disease progression in Chronic Obstructive Pulmonary Disease (COPD) lead to consequences for patient health risk assessment, stratification and management. Implicit with the classical "spill over" hypothesis is that COPD heterogeneity is driven by the pulmonary events of the disease. Alternatively, we hypothesized that COPD heterogeneities result from the interplay of mechanisms governing three conceptually different phenomena: 1) pulmonary disease, 2) systemic effects of COPD and 3) co-morbidity clustering, each of them with their own dynamics.

OBJECTIVE AND METHOD

To explore the potential of a systems analysis of COPD heterogeneity focused on skeletal muscle dysfunction and on co-morbidity clustering aiming at generating predictive modeling with impact on patient management. To this end, strategies combining deterministic modeling and network medicine analyses of the Biobridge dataset were used to investigate the mechanisms of skeletal muscle dysfunction. An independent data driven analysis of co-morbidity clustering examining associated genes and pathways was performed using a large dataset (ICD9-CM data from Medicare, 13 million people). Finally, a targeted network analysis using the outcomes of the two approaches (skeletal muscle dysfunction and co-morbidity clustering) explored shared pathways between these phenomena.

RESULTS

(1) Evidence of abnormal regulation of skeletal muscle bioenergetics and skeletal muscle remodeling showing a significant association with nitroso-redox disequilibrium was observed in COPD; (2) COPD patients presented higher risk for co-morbidity clustering than non-COPD patients increasing with ageing; and, (3) the on-going targeted network analyses suggests shared pathways between skeletal muscle dysfunction and co-morbidity clustering.

CONCLUSIONS

The results indicate the high potential of a systems approach to address COPD heterogeneity. Significant knowledge gaps were identified that are relevant to shape strategies aiming at fostering 4P Medicine for patients with COPD.

摘要

背景与假设

慢性阻塞性肺疾病(COPD)临床表现和疾病进展的异质性给患者健康风险评估、分层及管理带来了影响。经典的“溢出”假说暗示COPD异质性是由该疾病的肺部事件驱动的。与之不同的是,我们假设COPD异质性是由控制三种概念上不同现象的机制相互作用导致的:1)肺部疾病,2)COPD的全身效应,3)共病聚集,它们各自都有其自身的动态变化。

目的与方法

探讨聚焦于骨骼肌功能障碍和共病聚集的COPD异质性系统分析的潜力,旨在生成对患者管理有影响的预测模型。为此,采用结合确定性建模和对生物桥数据集进行网络医学分析的策略来研究骨骼肌功能障碍的机制。使用一个大型数据集(来自医疗保险的ICD9-CM数据,1300万人)对共病聚集进行独立的数据驱动分析,检查相关基因和通路。最后,使用这两种方法(骨骼肌功能障碍和共病聚集)的结果进行靶向网络分析,探索这些现象之间的共享通路。

结果

(1)在COPD中观察到骨骼肌生物能量学异常调节和骨骼肌重塑的证据,显示与亚硝基氧化还原失衡有显著关联;(2)COPD患者比非COPD患者共病聚集风险更高,且随年龄增长而增加;(3)正在进行的靶向网络分析表明骨骼肌功能障碍和共病聚集之间存在共享通路。

结论

结果表明系统方法在解决COPD异质性方面具有很大潜力。确定了与制定旨在促进COPD患者的4P医学策略相关的重大知识空白。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b73f/4255905/5699c73a7d0c/1479-5876-12-S2-S3-1.jpg

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