Literature DB >> 22441733

The EvA study: aims and strategy.

Loems Ziegler-Heitbrock1, Marion Frankenberger, Irene Heimbeck, Dorothe Burggraf, Matthias Wjst, Karl Häussinger, Chris Brightling, Sumit Gupta, David Parr, Deepak Subramanian, Dave Singh, Umme Kolsum, Piera Boschetto, Alfredo Potena, Dorota Gorecka, Adam Nowinski, Imre Barta, Balazs Döme, Janos Strausz, Timm Greulich, Claus Vogelmeier, Robert Bals, Jens M Hohlfeld, Tobias Welte, Per Venge, Ivo Gut, Anne Boland, Robert Olaso, Jörg Hager, Pieter Hiemstra, Klaus F Rabe, Martina Unmüssig, Joachim Müller-Quernheim, Antje Prasse.   

Abstract

The EvA study is a European Union-funded project under the Seventh Framework Programme (FP7), which aims at defining new markers for chronic obstructive pulmonary disease (COPD) and its subtypes. The acronym is derived from emphysema versus airway disease, indicating that the project targets these two main phenotypes of the disease. The EvA study is based on the concept that emphysema and airway disease are governed by different pathophysiological processes, are driven by different genes and have differential gene expression in the lung. To define these genes, patients and non-COPD controls are recruited for clinical examination, lung function analysis and computed tomography (CT) of the lung. CT scans are used to define the phenotypes based on lung density and airway wall thickness. This is followed by bronchoscopy in order to obtain samples from the airways and the alveoli. These tissue samples, along with blood samples, are then subjected to genome-wide expression and association analysis and markers linked to the phenotypes are identified. The population of the EvA study is different from other COPD study populations, since patients with current oral glucocorticoids, antibiotics and exacerbations or current smokers are excluded, such that the signals detected in the molecular analysis are due to the distinct inflammatory process of emphysema and airway disease in COPD.

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Year:  2012        PMID: 22441733     DOI: 10.1183/09031936.00142811

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  10 in total

1.  Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema.

Authors:  Peter J Castaldi; Jennifer Dy; James Ross; Yale Chang; George R Washko; Douglas Curran-Everett; Andre Williams; David A Lynch; Barry J Make; James D Crapo; Russ P Bowler; Elizabeth A Regan; John E Hokanson; Greg L Kinney; Meilan K Han; Xavier Soler; Joseph W Ramsdell; R Graham Barr; Marilyn Foreman; Edwin van Beek; Richard Casaburi; Gerald J Criner; Sharon M Lutz; Steven I Rennard; Stephanie Santorico; Frank C Sciurba; Dawn L DeMeo; Craig P Hersh; Edwin K Silverman; Michael H Cho
Journal:  Thorax       Date:  2014-02-21       Impact factor: 9.139

2.  Computational modeling of the obstructive lung diseases asthma and COPD.

Authors:  Kelly Suzanne Burrowes; Tom Doel; Chris Brightling
Journal:  J Transl Med       Date:  2014-11-28       Impact factor: 5.531

3.  Influence of lung CT changes in chronic obstructive pulmonary disease (COPD) on the human lung microbiome.

Authors:  Marion Engel; David Endesfelder; Brigitte Schloter-Hai; Susanne Kublik; Michael S Granitsiotis; Piera Boschetto; Mariarita Stendardo; Imre Barta; Balazs Dome; Jean-François Deleuze; Anne Boland; Joachim Müller-Quernheim; Antje Prasse; Tobias Welte; Jens Hohlfeld; Deepak Subramanian; David Parr; Ivo Glynne Gut; Timm Greulich; Andreas Rembert Koczulla; Adam Nowinski; Dorota Gorecka; Dave Singh; Sumit Gupta; Christopher E Brightling; Harald Hoffmann; Marion Frankenberger; Thomas P Hofer; Dorothe Burggraf; Marion Heiss-Neumann; Loems Ziegler-Heitbrock; Michael Schloter; Wolfgang Zu Castell
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

4.  Identification of novel candidate genes involved in the progression of emphysema by bioinformatic methods.

Authors:  Wei-Ping Hu; Ying-Ying Zeng; Yi-Hui Zuo; Jing Zhang
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-11-14

5.  Multi-scale computational models of the airways to unravel the pathophysiological mechanisms in asthma and chronic obstructive pulmonary disease (AirPROM).

Authors:  K S Burrowes; J De Backer; R Smallwood; P J Sterk; I Gut; R Wirix-Speetjens; S Siddiqui; J Owers-Bradley; J Wild; D Maier; C Brightling
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

6.  A cluster analysis of chronic obstructive pulmonary disease in dusty areas cohort identified three subgroups.

Authors:  Suhyun Kim; Myoung-Nam Lim; Yoonki Hong; Seon-Sook Han; Seung-Joon Lee; Woo Jin Kim
Journal:  BMC Pulm Med       Date:  2017-12-16       Impact factor: 3.317

7.  The Human Virome Protein Cluster Database (HVPC): A Human Viral Metagenomic Database for Diversity and Function Annotation.

Authors:  Ali H A Elbehery; Judith Feichtmayer; Dave Singh; Christian Griebler; Li Deng
Journal:  Front Microbiol       Date:  2018-05-29       Impact factor: 5.640

8.  Blood eosinophil count and airway epithelial transcriptome relationships in COPD versus asthma.

Authors:  Leena George; Adam R Taylor; Anna Esteve-Codina; María Soler Artigas; Gian Andri Thun; Stewart Bates; Stelios Pavlidis; Scott Wagers; Anne Boland; Antje Prasse; Piera Boschetto; David G Parr; Adam Nowinski; Imre Barta; Jens Hohlfeld; Timm Greulich; Maarten van den Berge; Pieter S Hiemstra; Wim Timens; Timothy Hinks; Sally Wenzel; Salman Siddiqui; Matthew Richardson; Per Venge; Simon Heath; Ivo Gut; Martin D Tobin; Lindsay Edwards; John H Riley; Ratko Djukanovic; Charles Auffray; Bertrand De-Meulder; Sven Erik-Dahlen; Ian M Adcock; Kian Fan Chung; Loems Ziegler-Heitbrock; Peter J Sterk; Dave Singh; Christopher E Brightling
Journal:  Allergy       Date:  2019-09-10       Impact factor: 13.146

9.  Comparative analysis of pathophysiological parameters between emphysematous smokers and emphysematous patients with COPD.

Authors:  Shuang Bai; Rui Ye; Cuihong Wang; Pengbo Sun; Li Zhao
Journal:  Sci Rep       Date:  2020-01-15       Impact factor: 4.379

10.  High degree of polyclonality hinders somatic mutation calling in lung brush samples of COPD cases and controls.

Authors:  Gian-Andri Thun; Sophia Derdak; Francesc Castro-Giner; Katherine Apunte-Ramos; Lidia Águeda; Matthias Wjst; Anne Boland; Jean-François Deleuze; Umme Kolsum; Marion S Heiss-Neumann; Adam Nowinski; Dorota Gorecka; Jens M Hohlfeld; Tobias Welte; Christopher E Brightling; David G Parr; Antje Prasse; Joachim Müller-Quernheim; Timm Greulich; Mariarita Stendardo; Piera Boschetto; Imre Barta; Balázs Döme; Marta Gut; Dave Singh; Loems Ziegler-Heitbrock; Ivo G Gut
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

  10 in total

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