Network medicine analysis of COPD multimorbidities
Background: Patients with chronic obstructive pulmonary disease (COPD) often suffer concomitant disorders that worsen significantly their health status and vital prognosis. The pathogenic mechanisms underlying COPD multimorbidities are not completely understood, thus the exploration of potential mol...
| Autores: | , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | Conselleria de Salut i Consum del Govern de les Illes Balears |
| Repositorio: | Docusalut |
| Idioma: | inglés |
| OAI Identifier: | oai:docusalut.com:20.500.13003/11124 |
| Acceso en línea: | https://hdl.handle.net/20.500.13003/11124 |
| Access Level: | acceso abierto |
| Palabra clave: | Protein Interaction Maps Pulmonary Disease, Chronic Obstructive Smoke Gene Expression Regulation Humans Smoking Health Status Prognosis Gene Regulatory Networks Risk Factors Signal Transduction Comorbidity Systems Biology Prevalence Systems Integration Redes Reguladoras de Genes Pronóstico Estado de Salud Humanos Biología de Sistemas Factores de Riesgo Enfermedad Pulmonar Obstructiva Crónica Fumar Regulación de la Expresión Génica Mapas de Interacción de Proteínas Prevalencia Comorbilidad Integración de Sistemas Humo Transducción de Señal Diseasome Systems biology Network medicine Multimorbidity COPD Tobacco chemicals |
| Sumario: | Background: Patients with chronic obstructive pulmonary disease (COPD) often suffer concomitant disorders that worsen significantly their health status and vital prognosis. The pathogenic mechanisms underlying COPD multimorbidities are not completely understood, thus the exploration of potential molecular and biological linkages between COPD and their associated diseases is of great interest. Methods: We developed a novel, unbiased, integrative network medicine approach for the analysis of the diseasome, interactome, the biological pathways and tobacco smoke exposome, which has been applied to the study of 16 prevalent COPD multimorbidities identified by clinical experts. Results: Our analyses indicate that all COPD multimorbidities studied here are related at the molecular and biological level, sharing genes, proteins and biological pathways. By inspecting the connections of COPD with their associated diseases in more detail, we identified known biological pathways involved in COPD, such as inflammation, endothelial dysfunction or apoptosis, serving as a proof of concept of the methodology. More interestingly, we found previously overlooked biological pathways that might contribute to explain COPD multimorbidities, such as hemostasis in COPD multimorbidities other than cardiovascular disorders, and cell cycle pathway in the association of COPD with depression. Moreover, we also observed similarities between COPD multimorbidities at the pathway level, suggesting common biological mechanisms for different COPD multimorbidities. Finally, chemicals contained in the tobacco smoke target an average of 69% of the identified proteins participating in COPD multimorbidities. Conclusions: The network medicine approach presented here allowed the identification of plausible molecular links between COPD and comorbid diseases, and showed that many of them are targets of the tobacco exposome, proposing new areas of research for understanding the molecular underpinning of COPD multimorbidities. |
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