Literature DB >> 25943943

Current concepts in targeting chronic obstructive pulmonary disease pharmacotherapy: making progress towards personalised management.

Prescott G Woodruff1, Alvar Agusti2, Nicolas Roche3, Dave Singh4, Fernando J Martinez5.   

Abstract

Chronic obstructive pulmonary disease (COPD) is a common, complex, and heterogeneous disorder that is responsible for substantial and growing morbidity, mortality, and health-care expense worldwide. Of imperative importance to decipher the complexity of COPD is to identify groups of patients with similar clinical characteristics, prognosis, or therapeutic needs, the so-called clinical phenotypes. This strategy is logical for research but might be of little clinical value because clinical phenotypes can overlap in the same patient and the same clinical phenotype could result from different biological mechanisms. With the goal to match assessment with treatment choices, the latest iteration of guidelines from the Global Initiative for Chronic Obstructive Lung Disease reorganised treatment objectives into two categories: to improve symptoms (ie, dyspnoea and health status) and to decrease future risk (as predicted by forced expiratory volume in 1 s level and exacerbations history). This change thus moves treatment closer to individualised medicine with available bronchodilators and anti-inflammatory drugs. Yet, future treatment options are likely to include targeting endotypes that represent subtypes of patients defined by a distinct pathophysiological mechanism. Specific biomarkers of these endotypes would be particularly useful in clinical practice, especially in patients in which clinical phenotype alone is insufficient to identify the underlying endotype. A few series of potential COPD endotypes and biomarkers have been suggested. Empirical knowledge will be gained from proof-of-concept trials in COPD with emerging drugs that target specific inflammatory pathways. In every instance, specific endotype and biomarker efforts will probably be needed for the success of these trials, because the pathways are likely to be operative in only a subset of patients. Network analysis of human diseases offers the possibility to improve understanding of disease pathobiological complexity and to help with the development of new treatment alternatives and, importantly, a reclassification of complex diseases. All these developments should pave the way towards personalised treatment of patients with COPD in the clinic.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25943943      PMCID: PMC4869530          DOI: 10.1016/S0140-6736(15)60693-6

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  102 in total

1.  Network medicine--from obesity to the "diseasome".

Authors:  Albert-László Barabási
Journal:  N Engl J Med       Date:  2007-07-25       Impact factor: 91.245

2.  Lung cancer in patients with chronic obstructive pulmonary disease. Development and validation of the COPD Lung Cancer Screening Score.

Authors:  Juan P de-Torres; David O Wilson; Pablo Sanchez-Salcedo; Joel L Weissfeld; Juan Berto; Arantzazu Campo; Ana B Alcaide; Marta García-Granero; Bartolome R Celli; Javier J Zulueta
Journal:  Am J Respir Crit Care Med       Date:  2015-02-01       Impact factor: 21.405

3.  Eosinophilic airway inflammation and exacerbations of COPD: a randomised controlled trial.

Authors:  R Siva; R H Green; C E Brightling; M Shelley; B Hargadon; S McKenna; W Monteiro; M Berry; D Parker; A J Wardlaw; I D Pavord
Journal:  Eur Respir J       Date:  2007-02-14       Impact factor: 16.671

4.  Pneumonia risk with inhaled fluticasone furoate and vilanterol compared with vilanterol alone in patients with COPD.

Authors:  Courtney Crim; Mark T Dransfield; Jean Bourbeau; Paul W Jones; Nicola A Hanania; Donald A Mahler; Jørgen Vestbo; Andrew Wachtel; Fernando J Martinez; Frank Barnhart; Sally Lettis; Peter M A Calverley
Journal:  Ann Am Thorac Soc       Date:  2015-01

5.  The prevention of chronic obstructive pulmonary disease exacerbations by salmeterol/fluticasone propionate or tiotropium bromide.

Authors:  Jadwiga A Wedzicha; Peter M A Calverley; Terence A Seemungal; Gerry Hagan; Zainab Ansari; Robert A Stockley
Journal:  Am J Respir Crit Care Med       Date:  2007-10-04       Impact factor: 21.405

6.  Formoterol and tiotropium compared with tiotropium alone for treatment of COPD.

Authors:  Donald P Tashkin; James Pearle; Domenic Iezzoni; Santosh T Varghese
Journal:  COPD       Date:  2009-02       Impact factor: 2.409

Review 7.  Glucocorticoid resistance in inflammatory diseases.

Authors:  Peter J Barnes; Ian M Adcock
Journal:  Lancet       Date:  2009-05-30       Impact factor: 79.321

8.  A 4-year trial of tiotropium in chronic obstructive pulmonary disease.

Authors:  Donald P Tashkin; Bartolome Celli; Stephen Senn; Deborah Burkhart; Steven Kesten; Shailendra Menjoge; Marc Decramer
Journal:  N Engl J Med       Date:  2008-10-05       Impact factor: 91.245

9.  Human disease classification in the postgenomic era: a complex systems approach to human pathobiology.

Authors:  Joseph Loscalzo; Isaac Kohane; Albert-Laszlo Barabasi
Journal:  Mol Syst Biol       Date:  2007-07-10       Impact factor: 11.429

10.  Association between pathogens detected using quantitative polymerase chain reaction with airway inflammation in COPD at stable state and exacerbations.

Authors:  Bethan L Barker; Koirobi Haldar; Hemu Patel; Ian D Pavord; Michael R Barer; Christopher E Brightling; Mona Bafadhel
Journal:  Chest       Date:  2015-01       Impact factor: 9.410

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  67 in total

1.  Advancing Chronic Obstructive Pulmonary Disease Therapy: Opportunities, Challenges, and Excitement.

Authors:  Stephen I Rennard
Journal:  Am J Respir Cell Mol Biol       Date:  2019-01       Impact factor: 6.914

Review 2.  ncRNA-regulated immune response and its role in inflammatory lung diseases.

Authors:  Na Xie; Gang Liu
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2015-10-02       Impact factor: 5.464

Review 3.  Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study.

Authors:  Peter J Castaldi; Adel Boueiz; Jeong Yun; Raul San Jose Estepar; James C Ross; George Washko; Michael H Cho; Craig P Hersh; Gregory L Kinney; Kendra A Young; Elizabeth A Regan; David A Lynch; Gerald J Criner; Jennifer G Dy; Stephen I Rennard; Richard Casaburi; Barry J Make; James Crapo; Edwin K Silverman; John E Hokanson
Journal:  Chest       Date:  2019-12-28       Impact factor: 9.410

4.  Chronic obstructive pulmonary disease at the beginning of the XXI Century.

Authors:  Alvar Agusti; Jing Zhang
Journal:  J Thorac Dis       Date:  2019-11       Impact factor: 2.895

Review 5.  Targeting Chronic Obstructive Pulmonary Disease Phenotypes, Endotypes, and Biomarkers.

Authors:  Suresh Garudadri; Prescott G Woodruff
Journal:  Ann Am Thorac Soc       Date:  2018-12

Review 6.  Bringing Stability to the Chronic Obstructive Pulmonary Disease Patient: Clinical and Pharmacological Considerations for Frequent Exacerbators.

Authors:  Swati Gulati; J Michael Wells
Journal:  Drugs       Date:  2017-04       Impact factor: 9.546

Review 7.  Therapeutic Monoclonal Antibodies for the Treatment of Chronic Obstructive Pulmonary Disease.

Authors:  Maria Gabriella Matera; Clive Page; Paola Rogliani; Luigino Calzetta; Mario Cazzola
Journal:  Drugs       Date:  2016-09       Impact factor: 9.546

8.  Systemic Markers of Inflammation in Smokers With Symptoms Despite Preserved Spirometry in SPIROMICS.

Authors:  Suresh Garudadri; Prescott G Woodruff; MeiLan K Han; Jeffrey L Curtis; R Graham Barr; Eugene R Bleecker; Russell P Bowler; Alejandro Comellas; Christopher B Cooper; Gerard Criner; Mark T Dransfield; Nadia N Hansel; Robert Paine; Jerry A Krishnan; Stephen P Peters; Annette T Hastie; Fernando J Martinez; Wanda K O'Neal; David J Couper; Neil E Alexis; Stephanie A Christenson
Journal:  Chest       Date:  2019-01-23       Impact factor: 9.410

9.  Lower diffusing capacity with chronic bronchitis predicts higher risk of acute exacerbation in chronic obstructive lung disease.

Authors:  Hwa Young Lee; Jin Woo Kim; Sang Haak Lee; Hyoung Kyu Yoon; Jae Jeong Shim; Jeong-Woong Park; Jae-Hyung Lee; Kwang Ha Yoo; Ki-Suck Jung; Chin Kook Rhee
Journal:  J Thorac Dis       Date:  2016-06       Impact factor: 2.895

10.  Association of urine mitochondrial DNA with clinical measures of COPD in the SPIROMICS cohort.

Authors:  William Z Zhang; Michelle C Rice; Katherine L Hoffman; Clara Oromendia; Igor Z Barjaktarevic; J Michael Wells; Annette T Hastie; Wassim W Labaki; Christopher B Cooper; Alejandro P Comellas; Gerard J Criner; Jerry A Krishnan; Robert Paine; Nadia N Hansel; Russell P Bowler; R Graham Barr; Stephen P Peters; Prescott G Woodruff; Jeffrey L Curtis; Meilan K Han; Karla V Ballman; Fernando J Martinez; Augustine Mk Choi; Kiichi Nakahira; Suzanne M Cloonan; Mary E Choi
Journal:  JCI Insight       Date:  2020-02-13
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