2015
DOI: 10.1183/13993003.00763-2015
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Molecular and clinical diseasome of comorbidities in exacerbated COPD patients

Abstract: The frequent occurrence of comorbidities in patients with chronic obstructive pulmonary disease (COPD) suggests that they may share pathobiological processes and/or risk factors.To explore these possibilities we compared the clinical diseasome and the molecular diseasome of 5447 COPD patients hospitalised because of an exacerbation of the disease. The clinical diseasome is a network representation of the relationships between diseases, in which diseases are connected if they co-occur more than expected at rand… Show more

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Cited by 37 publications
(25 citation statements)
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“…The stability of the CETI factor structure across subsamples speaks to its diverse applicability. Co-morbidities are common in COPD, 32 with possible shared molecular mechanisms, 33 and the fact that the factor structure was stable across patients with and without co-morbidities strengthens internal validity. However, a number of limitations of our study are also worth noting.…”
Section: Discussionmentioning
confidence: 88%
“…The stability of the CETI factor structure across subsamples speaks to its diverse applicability. Co-morbidities are common in COPD, 32 with possible shared molecular mechanisms, 33 and the fact that the factor structure was stable across patients with and without co-morbidities strengthens internal validity. However, a number of limitations of our study are also worth noting.…”
Section: Discussionmentioning
confidence: 88%
“…DisGeNET platform has been used to study a variety of biomedical problems, which include investigating the molecular basis of specific diseases (3336), annotating lists of genes produced by different types of omics and sequencing protocols (3739), validating disease genes prediction methods (4042), understanding disease mechanisms in the context of protein networks (43,44), gaining insight into drug action (45) and drug adverse reactions mechanisms (46), drug repurposing (47), exploring the molecular basis of disease comorbidities (48,49), assessing the performance of text-mining algorithms (50) and as part of other resources (5153). …”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%
“…Network analysis is an integrative research strategy well suited for the investigation of heterogeneous and complex diseases [6,7] such as COPD [8][9][10][11][12][13][14]. We hypothesised that multi-level differential network analysis (MLDNA), a novel analytical method that involves the comparison of clinical, physiological, biological, imaging and microbiological (i.e.…”
Section: Introductionmentioning
confidence: 99%