3,910
Views
21
CrossRef citations to date
0
Altmetric
Review

Phenotyping Before Starting Treatment in COPD?

, &
Pages 367-374 | Received 12 Jan 2017, Accepted 01 Mar 2017, Published online: 07 Apr 2017

ABSTRACT

Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous and complex disease with great morbidity and mortality. Despite the new developments in the managements of COPD, it was recognized that not all patients benefit from the available medications. Therefore, efforts to identify subgroups or phenotypes had been made in order to predict who will respond to a class of drugs for COPD. This review will discuss phenotypes, endotypes, and subgroups such as the frequent exacerbator, the one with systemic inflammation, the fast decliner, ACOS, and the one with co-morbidities and their impact on therapy. It became apparent, that the “inflammatory” phenotypes: frequent exacerbator, chronic bronchitic, and those with a number of co-morbidities need inhaled corticosteroids; in contrast, the emphysematous type with dyspnea and lung hyperinflation, the fast decliner, need dual bronchodilation (deflators). However, larger, well designed studies clustering COPD patients are needed, in order to identify the important subgroups and thus, to lead to personalize management in COPD.

Introduction

Chronic Obstructive Pulmonary Disease (COPD) is defined as a common preventable and treatable disease characterized by persistent airflow limitation and associated with an enhanced chronic inflammatory response in the airways and lung to noxious particles or gases Citation(1,2).

Recently, the significant heterogeneity of clinical presentation of the disease and the complexity of the physiobiology of COPD had been evaluated Citation(3,4). This had led to the recognition of the importance of phenotyping the various expressions of the disease in order to better manage COPD with a final goal to personalize the treatment of each individual patient Citation(5–7).

It is a great improvement that we have moved from the airflow limitation (FEV1) into severity scales with symptoms, exacerbations in the management of the disease Citation(8–10). The recent, updated Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines had introduced the A,B,C,D, system to verify the severity of the disease. This scale includes measures of symptoms such as dyspnea using the Medical Research Council (MRC) score or COPD Assessment Test (CAT) and the number of exacerbations Citation(1).

Although this system had a number of limitations, it was the first system to introduce symptoms and exacerbations to determine the severity of COPD Citation(1).

In addition, GOLD proposed to use this severity index (A,B,C,D) in order to administer the various modes of treatments available for COPD Citation(1).

However, detailed analysis of the various clinical characteristics (phenotypes) of the patients is missing in the GOLD document Citation(11).

It becomes evident that not all kind of treatments are suitable for all the COPD patients, and phenotyping, subgrouping, and/or endotyping would be essential in order to tailor the management of an individual patient with COPD. It would be of great clinical value to be able to predict who will respond to specific class of drugs, leading to personalized medicine Citation(12–14).

This brief review will present first the definition(s) of phenotype, subgroup, and endotype, and then will discuss the various phenotypes of COPD and their significance on therapy.

Phentotype(s) (definition)

The following definitions are needed in order to facilitate the understanding of the pathogenesis of diseases and their management in general.

Genotype

Genotype is the genetic constitutional of an individual organism, the inherited map that carries the genetic code (DNA). However, not all organisms with same genotype look or act the same way, because of epigenetic influences such as, environmental factors. The final, end result of both genetic and environmental factors is called phenotype.

Thus, the definition of phenotype could be: The set of observable characteristics of an individual resulting from the interaction of its genotype with the environment Citation(15).

Finally, terms such as subgroup, endotype, and subtype have been used to define distinct patho-physiological mechanism. Thus, endotype differs from phenotype (the observable characteristics) since it is referring to a subgroup with a distinct pathobiological mechanism. It is common finding in COPD it's presentation with a number of phenotypes that could be subdivided into a number of endotypes. Finally, the above terms are used by many researchers indistinguishably, and this causes a great confusion in the medical literature Citation(5,16,17).

Phenotype(s) primarily applies in diseases with a strong epigenetic pathobiological mechanism(s) such as, COPD. It is obvious from the definition that this disease is the result of an environmental insult(s) (cigarette smoke, biomass fuels) that interacts with the genotype of a “susceptible” individual Citation(18–20).

Finally, strategies to detect susceptibility loci of complex diseases in relationship with specific phenotypes had been described by Rice et al. Citation(21).

Genetic factors in COPD: A brief summary

The pathways from genotype to phenotype in COPD are summarized in . This figure illustrates that if the genome is genetically severely altered, as in a1-antithrypsin deficiency, the disease appears without a significant involvement of the environment (). However, it is well known that environmental insults such as smoking and biofuel smoke exposure can promote the earlier development of the disease in this condition Citation(22). In addition, an interaction between genetics and the environment is supposed to enhance the development of the disease in susceptible individuals () Citation(23).

Figure 1. From Genotype to Phenotype in COPD. The most common pathway is the B where environmental insults such as cigarette smoking, Air pollution, and Biomass Fuel are affecting the genome of susceptible individuals (For more details, see the text). A = α1-antitrypsin deficiency; B = environmental insults: smoking, air pollution, biomass fuel; C = nutrition; B,C = EPIGENETICS.

Figure 1. From Genotype to Phenotype in COPD. The most common pathway is the B where environmental insults such as cigarette smoking, Air pollution, and Biomass Fuel are affecting the genome of susceptible individuals (For more details, see the text). A = α1-antitrypsin deficiency; B = environmental insults: smoking, air pollution, biomass fuel; C = nutrition; B,C = EPIGENETICS.

Proposed pathogenetic mechanisms in COPD include the protease-antiprotease imbalance, response to oxidative stress, cell death, and inflammation Citation(24–26). Family-based and single-gene studies have discovered genes and loci that are associated with COPD susceptibility, while recent genome-wide association studies (GWASs) have discovered novel candidate genetic pathways. The phenotype of a1-antithrypsin deficiency, caused by mutations in SERPINA1, accounts only for the 1–2% of the total COPD population; however, it is the only established genetically driven cause of COPD that has a potential intervention so far Citation(27). Inducible heme oxygenase (HO-1) is a cytoprotective enzyme that plays a critical role in lung defense against inflammatory and oxidant-induced cellular and tissue injury in COPD Citation(28). Polymorphisms of the HO-1 promoter associated with reduced HO-1 expression have been linked with increased susceptibility to smoking-induced emphysema Citation(29,30). Other candidate genes for COPD recently identified by GWASs include CHRNA3/5 (cholinergic nicotine receptor alpha 3/5), IREB2 (iron regulatory binding protein 2), HHIP (hedgehog-interacting protein), FAM13A (family with sequence similarity 13, member A), and AGER (advanced glycosylation end product–specific receptor), Citation(31–34). Although their pathological roles are still largely unknown, potential liaisons with COPD susceptibility and associations with emphysema severity Citation(35), the chronic bronchitis subtype Citation(36), lung function Citation(37), COPD exacerbations Citation(38), and pathogenesis of pulmonary hypertension Citation(39) have been proposed and replicated in multiple populations.

The most common pathway to develop COPD is the epigenetic one, when environmental factors affecting the genome of susceptible individuals () Citation(39–42).

The basic epigenetic mechanisms are DNA methylation, which suppresses gene transcription, and various post-translational modifications of core histones (histone acetylation, methylation, ubiquitination, and phosphorylation), that may result in either activation or repression of genes Citation(40–42). Several studies have proposed that oxidative damage related to smoking is associated with epigenetic modifications that may mediate COPD development and progression by modulating gene expression of proinflammatory cytokines and inflammatory signaling pathways Citation(43,44), as well as by inducing cell apoptosis Citation(45). Moreover, evidence shows that oxidative damage contributes to genetic instability of specific non-coding DNA sites (microsatellite sequences, telomeres, promoters, and sites of methylation) adjacent to or included in genes implicated in the pathogenesis of COPD or supposed to be associated with certain phenotypic expressions of the disease Citation(46,47).

However, in some cases, there is a protective role of the environment that can prevent the development of the disease, such as nutrition (). This may explain the fact that not all smokers develop COPD Citation(23).

Since the insults of the environment could hit different loci of the genome of a susceptible individual, a number of phenotypes of COPD could be identified. This may be the answer to such heterogeneity seen in COPD. This also could explain the fact that clinical phenotypes can overlap in the same patient (several pathogenetic pathways) Citation(48).

In addition, since the interaction between the environment and the genome has a long life duration, it raises the question if a certain phenotype is constant over time.

Phenotyping COPD

As noticed above, a phenotype of a heterogeneous disease defines a subgroup of patients with similar observable characteristics. In such complex disease as COPD that lasts the whole life, this exercise is quite difficult. It is obvious that clustering patients with clinical or epidemiological criteria, including imaging (HRCT) Citation(49–52), is quite different than clustering by pathophysiological or pathobiological criteria, and it is extremely complex if we use a large number of criteria. Due to these limitations, the medical literature is lacking sufficient number of valid studies on the issue of the phenotypes of COPD Citation(5,16,17,49–57).

Historically, two classical phenotypes of COPD had been described: the Chronic Bronchitic and the Emphysematous one. Using pathophysiological criteria, these phenotypes were named also as “Blue Bloaters” and “Pink Puffers” Citation(58). Recently, a number of distinct phenotypes had been described such as, the frequent exacerbator, the fast decliner (fast drop of FEV1 over the years), the phenotype with systemic inflammation, the one with a number of severe co-morbidities such as cardiovascular or metabolic ones Citation(59), and the one of significant hyperinflation.

To complicate even further the issue of phenotyping COPD patients, we acknowledge that any one individual may manifest multiple phenotypes, etiologically different. Although there are significant difficulties and confusions in this area of research, the current scientific efforts are focusing to identify biomarkers that can describe a similar underlying mechanism(s) and thus, define better a COPD phenotype or endotype. Therefore, the efforts are to describe disease attributes different between COPD patients that are related to meaningful clinical outcomes, such as, symptoms, exacerbations response to treatment disease progression, or death Citation(3,12,49–59).

The major goal of defining phenotypes in COPD is to identify the individuals that could respond to specific mode of treatment, because it is well known, that not all patients are affected by all available medications. This may lead to personalized treatment with consequence the better manager of the disease, better quality of life for the patient, and reduction in the cost of therapy.

Finally, the overlap syndrome between COPD and asthma (ACOS) has been considered as specific phenotype of COPD or asthma. As we believe that this syndrome is very rate and could be relevant only to the smoking Asthmatic, we are not going to discuss it in detail Citation(60,61). lists the most common phenotypes of COPD, although there is no consensus on the number or the type of phenotypes in the medical literature Citation(16). However, the future of COPD is phenotyping the disease Citation(60–67).

Table 1. COPD phenotypes.

Classical COPD phenotypes

The classical division of COPD patients into blue bloater and Pink Puffers had been described in many textbooks as well as the clinical definition of Chronic Bronchitis or the histological one of Emphysema. In brief:

Chronic bronchitis

Cough and sputum production for at least 3 months in each of two consecutive years.

Emphysema

Destruction of the gas-exchanging surfaces of the lung (alveoli), beyond the terminal bronchioles.

Since both characteristics can coexist in many patients, the term COPD had been introduced. To describe the pathogenetic mechanisms, the first attempt of phenotyping COPD was to use the terms “pink puffer” and “blue bloater.” In brief, the pink puffer is a patient with emphysema as primary pathology: destruction of the airways distal to terminal bronchiole, and gradual damage of the pulmonary capillary bed. This leads to less ventilation–perfusion mismatch than the blue bloaters, and thus, to relatively “normal” blood gases due to hyperventilation (puffers). These persons usually develop muscle wasting and weight loss, although they have less hypoxemia than the blue bloaters.

The Blue Bloater

The Blue Bloater has primary pathology as that of chronic bronchitis. (Mucus-producing glands hypertrophy, goblet cell metaplasia, chronic inflammation of the bronchial tree). The ventilation–perfusion mismatch is increased, leading to hypoxemia, and hypercapnia occurs due to altered pattern of breathing. They present cyanosis in the face and lips, thus the “Blue” Citation(58).

New COPD phenotypes

Briefly we are going to present the criteria used to define the new COPD phenotypes.

Frequent exacerbator

Phenotype is defined if the patient has two or more exacerbations per year and implies worse prognosis. This phenotype was detected from clinical records or asking the patient the right question. According to Hurst et al., this is a quite stable phenotype over the years Citation(60). However, this statement was challenged by Donaldon et al. analyzing further the findings of the ECLIPSE study Citation(68).

The fast decliner

Phenotype is defined if the patient shows greater than the average fall in Forced Expiratory Volume in 1 second (FEV1). This needs at least 3-year measurements of FEV1 to conclude the fast decliner, and this is a significant limitation, in detecting this phenotype Citation(69,70). However, if HRCT and lung function tests were used, it had been shown that this phenotype reflects Emphysema Citation(71–72).

Inflammatory phenotype

Inflammatory phenotype is described in patient with persistent elevation of serum inflammatory markers, such as C-reactive protein or other proinflammatory cytokines Citation(73–76).

Current smoker phenotype

Some researchers consider the current smoking COPD patients as a district phenotype with specific psychosomatic behavior, worse prognosis, and poor adherence and response to treatment Citation(77).

The systemic or co-morbidities phenotype

This refers to the patient with a number of cardiovascular, metabolic co-morbidities. However, no specific criteria had been reported, as far as the number or the severity of those co-morbidities is concerned. Epidemiological studies had shown that COPD patients commonly are suffering from other chronic diseases such as the metabolic syndrome, arterial hypertension, ischemic heart diseases, diabetics, osteoporosis, and psychological disorders (anxiety/depression).The theory of “spill over” had been proposed as the possible pathobiological mechanism(s). According to the “spill over,” the prime site of the “burning” and the inflammation is the lungs, but the products of this inflammation are spilled over via the circulation to various sensitive organs such as the brain, the liver, the muscles, and the kidneys. Citation(78–81). It is obvious that this pathogenetic mechanism is present only in a specific phenotype or subgroup of COPD, and this is not the case in all COPD patients. Finally, a number of other phenotypes had been proposed such as the “eosinophilic” one. However, eosinophilia had been seen mainly during the exacerbations in some patients Citation(82–85). In addition, an effort to identify clinical phenotypes by cluster analysis had been reported Citation(86).

Phenotypes in European guidelines for COPD

A recent review had shown that the identification of patient subtypes had been included in various European Guidelines for COPD Citation(11,59). In addition, it was noticed that there was a great variability between those Guidelines as far as the criteria used to identify the phenotypes are concerned. However, the classical ones Emphysema, chronic Bronchitis, Pink Puffer, Blue Bloater, those with dyspnea, the frequent exacerbators, and the overlap syndrome ACOS were presented in most of the guidelines Citation(11,59).

Pharmacotherapy of COPD by clinical phenotypes

The current management of COPD has pharmacotherapy and non-pharmacotherapy measures. The pharmacotherapy of COPD includes primarily b2 agonists, anti-muscarinics, inhaled or per os steroids, theophyline, PDE4 inhibitors, mucolytics, and macrolides.

Most of the recent guidelines made an effort to guide the therapy of COPD according to the phenotype of the patients, and this is considered as significant improvement in the management of COPD Citation(11). The GOLD guidelines propose for patient group A: SAMA or SABA, for B: LAMA or LABA for C: ICS + LABA or LAMA and for D: ICS + LABA + LAMA as first-choice treatments in stable COPD patients. However, number of discrepancies can occur using this scale, for example, Citation(1) a patient can be there by either an FEV1 <50% or Citation(2) exacerbations + dyspnea. The first case could be a fast decliner with hyperinflation and the second having an inflammatory phenotype, thus, two different patients. Therefore, the new refine system uses both GOLD 1,2,3,4 Scale based on FEV1 and the A,B,C,D based on symptoms and exacerbations Citation(1).

It was noticed, however, that there are extremely heterogeneous recommendations in the various European guidelines, as far as, the choice of the first line treatment choice according to phenotyping Citation(11,59). However, the Spanish guidelines for the treatment of COPD had used the combination of emphysema, chronic bronchitis, exacerbations and the overlap COPD-asthma and proposed four phenotypes to facilitate the mode of treatment Citation(87). No exacerbator, ACOS, exacerbator with emphysema, and exacerbator with chronic bronchitis were the four clinical phenotypes of the Spanish effort, with the following recommendations being summarized in . This is a practical guideline to help clinicians choose the most appropriate treatment for their COPD patients Citation(87,88).

Table 2. The Spanish approach of pharmacological treatment guided by clinical phenotypes.

Bronchodilators have been the therapeutic mainstay for patients with COPD and in many trials have been shown their efficiency for reduction of exacerbation frequency. Recent meta-analyses have shown that all LAMAs were equally effective in preventing moderate-to-severe exacerbations Citation(89). A meta-analysis of LABAs showed a decrease of COPD exacerbations that was close to 20%, although differences between them were reported Citation(90). LABA/LAMA has shown better effects on lung function and exacerbations than mono-component long-acting bronchodilator therapies Citation(91–93).

LABA/ICS has been shown to decrease rate of COPD exacerbations and improve lung function and health-related quality of life Citation(94). The network meta-analysis compared four different classes of long-acting inhalers (LABA, LAMA, ICS, and ICS/LABA) and has shown improvement of quality of life and lung function by combination drugs (LABA and ICS) and least on ICS alone at 6 and at 12 months Citation(94). Overall, LAMA and LABA inhalers had similar effects, particularly at 12 months.

Recently, the withdrawal of the inhaled corticosteroids was tested and showed no significant effect on the number of exacerbations Citation(95). However, the decline in FEV1 was greater in patients without steroids than in those who continued having inhaled steroids Citation(95).

In addition, the effectiveness of dual LABA + LAMA versus Salmeterol + Fluticasone on exacerbations had been tested and shown superior Citation(96). Finally, the combination of fluticasone + Vilanterol reported very effective in clinical practice in COPD Citation(97).

PDE-4 inhibitors may play an important role in preventing COPD exacerbations in patients with chronic bronchitis COPD phenotype Citation(98). Therapy with a PDE-4 inhibitor was associated with a reduced number of COPD exacerbations (odds ratio (OR) 0.77; 95% confidence interval (CI) 0.71–0.83, high-quality evidence). For every 100 people treated with PDE-4 inhibitors, six more remained exacerbation-free during the study period compared with placebo (number needed to treat for an additional beneficial effect (NNTB) 20; 95% CI 16–27) Citation(98,99).

Macrolide antibiotics have been demonstrated to have anti-inflammatory and immunomodulating properties and have been used for the reduction of COPD exacerbations Citation(100). A large, prospective, placebo-controlled, randomized trial on the use of azithromycin for prevention of COPD exacerbations showed that macrolide was associated with a significant decrease in exacerbation frequency Citation(101). Use of prophylactic antibiotic in the long term should be mindful of the balance between benefits to individual patients and the potential harms caused by antibiotic overuse Citation(102,103).

Mucolytics have been used to reduce sputum viscosity and facilitate expectoration, and they also have anti-oxidative properties. The most recent systematic review of clinical effectiveness of mucolytics included 34 studies and has shown a small, but statistically significant, reduction in exacerbations in treated COPD patients Citation(104).

Reviewing the literature Citation(105–107) for the topic of phenotyping of COPD and their treatment, we could only recommend the following: The phenotypes of Chronic Bronchitis, the frequent exacerbator, the one with a number of co-morbidities, and the systemic inflammatory phenotype are probably due to a “spill over” an enhanced or “abnormal” inflammatory pathobiogenetic mechanism, and thus, inhaled corticosteroids should be included in their management. PDE4 inhibitors, macrolides, and mucolytics could be added in specific subgroups of the above Citation(1,11). In contrast, the emphysematous, the fast decliner, those with significant hyperinflation and severe dyspnea, the basis of their treatment should be long-acting bronchodilators (deflators). In severe cases of these phenotypes, dual bronchodilation with LAMA + LABA should be used Citation(108).

summarizes the above in a practical way for the clinician!

Table 3. Simple clinical approach to treatment using clinical phenotypes in stable COPD.

In conclusion, this review noticed the lack of scientifically robust studies clustering COPD patients according to specific pathogenetic mechanism(s) (endotypes) or specific clinical characteristics (phenotypes). Thus, recommendations of modes of treatment based on phenotyping of patients of COPD are at their infancy Citation(109,110).

Therefore, large, well-designed studies are needed in order to identify more accurately the phenotypes, or endotypes or subgroups of this heterogeneous and complex disease, leading to improvement in personalized medicine.

Declaration of interest

None.

References

  • Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD). COPD: Global Strategy for Diagnosis Management, and Prevention of COPD. Available at: www.goldcopd.org Accessed November 2016.
  • Celli BR, MacNee W; ATS/ERS Task Force. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J 2004; 23:932–946.
  • Agusti A, Calverley PM, Celli B, Coxson HO, Edwards LD, Lomas DA, et al. Characterisation of COPD heterogeneity in the ECLIPSE cohort. Respir Res 2010; 11:122.
  • Vestbo J, Agusti A, Wouters EFM, Bakke P, Calverley PMA, Celli B, et al. Should we view Chronic obstructive pulmonary disease differently after ECLIPSE?. A clinical perspective from the study team. Am J Respir Crit Care Med 2014; 189:1022–1030.
  • Agustí A. Phenotypes and disease characterization in chronic obstructive pulmonary disease. Toward the extinction of phenotypes? Ann Am Thorac Soc 2013; 10 Suppl:S125–S130.
  • Agusti A. The path to personalised medicine in COPD. Thorax 2014; 69:857–864.
  • Bihlet AR, Karsdal MA, Bay-Jensen AC, Read S, Kristensen JH, Sand JMB, et al. Clinical drug development using dynamic biomarkers to enable personalized health care in COPD. Chest 2015; 148:16–23.
  • Celli BR, Halbert RJ. Point: Should we abandon FEV1/FVC <0.70 to detect airway obstruction? No. Chest 2010; 138:1037–1040.
  • Celli BR, Cote CG, Marin JM, Casanova C, Montes de Oca M, Mendez RA, et al. The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med 2004; 350:1005–1012.
  • Esteban C, Quintana JM, Moraza J, Aburto M, Aguirre U, Aguirregomoscorta JI, et al. BODE-Index vs HADO-Score in chronic obstructive pulmonary disease: Which one to use in general practice? BMC Med 2010; 8:28.
  • Miravitlles M, Soler-Cataluña JJ, Calle M, Soriano JB. Treatment of COPD by clinical phenotypes: putting old evidence into clinical practice. Eur Respir J 2013; 41:1252–1256.
  • Mirnezami R, Nicholson J, Darzi A. Preparing for precision medicine. N Engl J Med 2012; 366:489–491.
  • Han MK, Agusti A, Calverley PM, Celli BR, Criner G, Curtis JL, et al. Chronic obstructive pulmonary disease phenotypes: the future of COPD. Am J Respir Crit Care Med 2010; 182:598–604.
  • Speizer FE, Ware JH. Exploring different phenotypes of COPD. N Engl J Med 2015; 373:185–186.
  • Vrijheid M. The exposome: a new paradigm to study the impact of environment on health. Thorax 2014; 69:876–878.
  • Pinto LM, Alghamdi M, Benedetti A, Zaihra T, Landry T, Bourbeau J. Derivation and validation of clinical phenotypes for COPD: a systematic review. Respir Res 2015; 16:50.
  • Agustí A, Celli B. Avoiding confusion in COPD: from risk factors to phenotypes to measures of disease characterisation. Eur Respir J 2011; 38:749–751.
  • Tzortzaki EG, Tsoumakidou M, Makris D, Siafakas NM. Laboratory markers for COPD in “susceptible” smokers. Clin Chim Acta 2006; 364:124–138.
  • Tzortzaki EG, Siafakas NM. A hypothesis for the initiation of COPD. Eur Respir J 2009; 34:310–315.
  • Neofytou E, Tzortzaki EG, Chatziantoniou A, Siafakas NM. DNA damage due to oxidative stress in chronic obstructive pulmonary disease (COPD). Int J Mol Sci 2012; 13(12):16853–16864.
  • Rice JP, Saccone NL, Rasmussen E. Definition of the phenotype. Adv Genet 2001; 42:69–76.
  • McGrady T, Mannino D, Malanga E. Characteristics of chronic obstructive pulmonary disease (COPD) patients reporting alpha-1 antitrypsin deficiency in the WebMD lung health check database. J COPD F 2015; 2:141–151.
  • Siafakas NM, Tzortzaki EG. Few smokers develop COPD. Why? Respir Med 2002; 96:615.
  • Cosio MG, Saetta M, Agusti A. Immunologic aspects of chronic obstructive pulmonary disease. N Engl J Med 2009; 360:2445–2454.
  • Kirkham PA, Barnes PJ. Oxidative stress in COPD. Chest 2013; 144:266–273.
  • Bagdonas E, Raudoniute J, Bruzauskaite I, Aldonyte R. Novel aspects of pathogenesis and regeneration mechanisms in COPD. Int J Chron Obstruct Pulmon Dis 2015; 10:995–1013.
  • Silverman EK, Sandhaus RA. Clinical prectice. Alpha1-antitrypsin deficiency. N Engl J Med 2009; 360:2749–2757.
  • Fredenburgh LE, Perrella MA, Mitsialis SA. The role of heme oxygenase-1 in pulmonary disease. Am J Respir Cell Mol Biol 2007; 36:158–165.
  • Guénégou A, Leynaert B, Bénessiano J, Pin I, Demoly P, Neukirch F, et al. Association of lung function decline with the heme oxygenase‐1 gene promoter microsatellite polymorphism in a general population sample. Results from the European Community Respiratory Health Survey (ECRHS), France. J Med Genet 2006; 43:e43.
  • Yamada N, Yamaya M, Okinaga S, Nakayama K, Sekizawa K, Shibahara S, et al. Microsatellite polymorphism in the heme oxygenase-1 gene promoter is associated with susceptibility to emphysema. A J Hum Genet 2000; 66:187–195.
  • Pillai SG, Ge D, Zhu G, Kong X, Shianna KV, Need AC, et al. A genome-wide association study in chronic obstructive pulmonary disease (COPD): identification of two major susceptibility loci. PLoS Genet 2009; 5:e1000421.
  • Cho MH, Castaldi PJ, Wan ES, Siedlinski M, Hersh CP, Demeo DL, et al. A genome-wide association study of COPD identifies a susceptibility locus on chromosome 19q13. Hum Mol Genet 2012; 21:947–957.
  • Cho MH, Boutaoui N, Klanderman BJ, Sylvia JS, Ziniti JP, Hersh CP, et al. Variants in FAM13A are associated with chronic obstructive pulmonary disease. Nat Genet 2010; 42:200–202.
  • Soler Artigas M, Wain LV, Repapi E, Obeidat Me, Sayers I, Burton PR, et al. Effect of five genetic variants associated with lung function on the risk of chronic obstructive lung disease, and their joint effects on lung function. Am J Respir Crit Care Med 2011; 184:786–795.
  • Castaldi PJ, Cho MH, San José Estépar R, McDonald M-LN, Laird N, Beaty TH, et al. Genome-wide association identifies regulatory loci associated with distinct local histogram emphysema patterns. Am J Respir Crit Care Med 2014; 190:399–409.
  • Lee JH, Cho MH, Hersh CP, McDonald M-LN, Crapo JD, Bakke PS, et al. Genetic susceptibility for chronic bronchitis in chronic obstructive pulmonary disease. Respir Res 2014; 15:113.
  • Hancock DB, Eijgelsheim M, Wilk JB, Gharib SA, Loehr LR, Marciante KD, et al. Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function. Nat Genet 2010; 42:45–52.
  • Pillai SG, Kong X, Edwards LD, Cho MH, Anderson WH, Coxson HO, et al. Loci Identified by genome-wide association studies influence different disease-related phenotypes in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2010; 182:1498–1505.
  • Lee JH, Cho MH, Hersh CP, McDonald M-LN, Wells JM, Dransfield MT, et al. IREB2 and GALC are associated with pulmonary artery enlargement in chronic obstructive pulmonary disease. Am J Respir Cell Mol Biol 2015; 52:365–376.
  • Barnes PJ. Targeting the epigenome in the treatment of asthma and chronic obstructive pulmonary disease. Proc Am Thorac Soc 2009; 6:693–696.
  • Barnes PJ, Adcock IM, Ito K. Histone acetylation and deacetylation: importance in inflammatory lung diseases. Eur Respir J 2005; 25:552–563.
  • Robertson KD. DNA methylation and human disease. Nat Rev Genet 2005; 6:597–610.
  • Rajendrasozhan S, Yao H, Rahman I. Current perspectives on role of chromatin modifications and deacetylases in lung inflammation of COPD. COPD 2009; 6:291–297.
  • Yao H, Rahman I. Current concepts on oxidative/carbonyl stress, inflammation and epigenetics in pathogenesis of chronic obstructive pulmonary disease. Toxicol Appl Pharmacol 2011; 254:72–85.
  • Nakanishi K, Takeda Y, Tetsumoto S, Iwasaki T, Tsujino K, Kuhara H, et al. Involvement of endothelial apoptosis underlying chronic obstructive pulmonary disease-like phenotype in adiponectin-null mice. Am J Respir Crit Care Med 2011; 183:1164–1175.
  • Tzortzaki EG, Dimakou K, Neofytou E, Tsikritsaki K, Samara K, Avgousti M, et al. Oxidative DNA damage and somatic mutations: a link to the molecular pathogenesis of chronic inflammatory airway diseases. Chest 2012; 141:1243–1250.
  • Makris D, Tzanakis N, Damianaki A, Ntaoukakis E, Neofytou E, Zervou M, et al. Microsatellite DNA instability and COPD exacerbations. Eur Respir J 2008; 32:612–618.
  • Turner AM, Tamasi L, Schleich F, Hoxha M, Horvath I, Louis R, et al. Clinically relevant subgroups in COPD and asthma. Eur Respir Rev 2015; 24:283–298.
  • Camiciottoli G, Bigazzi F, Paoletti M, Cestelli L, Lavorini F, Pistolesi M. Pulmonary function and sputum characteristics predict computed tomography phenotype and severity of COPD. ERJ 2013; 42(3):626–635.
  • Nakano Y, Muller NL, King GG, Niimi A, Kalloger SE, Mishima M, et al. Quantitative assessment of airway remodeling using high-resolution CT. Chest 2002; 122(6 supplement):271S–275S.
  • Orlandi I, Mororni C, Camiciottoli G, Bartolucci M, Pistolesi M, Villari N, et al. Chronic obstructive pulmonary disease: thin-section CT measurement of airway wall thickness and lung attenuation. Radiology 2005; 234(2):604–610.
  • Han MK, Kazerooni EA, Lynch DA, Liu LX, Murray S, Curtis JL, et al. Chronic obstructive pulmonary disease exacerbation in the COPD gene study: associated radiologic phenotypes. Radiology 2011; 26(1):274–282.
  • Garcia-Aymerich J, Gomez FP, Benet M, Farrero E, Basagana X, Gayete A, et al. Identification and prospective validation of clinically relevant chronic obstructive pulmonary disease (COPD) subtypes. Thorax 2011; 66(5):430–437.
  • Friedlander AL, Lynch D, Dyar LA, Bowler RP. Phenotypes of chronic obstructive pulmonary disease. COPD J Chron Obstruct Pulmon Dis 2007 2007/01/01;4(4):355–384.
  • Pistolesi M, Camiciottoli G, Paoletti M, Marmai C, Lavorini F, Meoni E, et al. Identification of a predominant COPD phenotype in clinical practice. Respir Med 2008; 102(3):367–376.
  • Faner R, Tal-Singer R, Riley JH, Celli B, Vestbo J, MacNee W, et al. Lessons from ECLIPSE: a review of COPD biomarkers. Thorax 2014; 69:666–672.
  • Miravitlles M, Calle M, Soler-Cataluna J. Clinical phenotypes of COPD: identification, definition and implications for guidelines. Arch Bronconeumol 2012; 48:86–98.
  • Burrows B, Fletcher CM, Heard BE, Jones NL, Wootliff JS. The emphysematous and bronchial types of chronic airways obstruction. A clinicopathological study of patients in London and Chicago. Lancet 1996 April 16; 1(7442):830–835.
  • Miravitlles M, Vogelmeier C, Roche N, Halpin D, Cardoso J, Chuchalin AG, et al. A review of national guidelines for management of COPD in Europe. Eur Respir J 2016; 47:625–637.
  • Hurst JR, Vestbo J, Anzueto A, Locantore N, Müllerova H, Tal-Singer R, et al. Susceptibility to exacerbation in chronic obstructive pulmonary disease. N Engl J Med 2010; 363:1128–1138.
  • Benfante A, Sorino C, Scichilone N. The asthma-COPD overlap syndrome (ACOS): hype or reality? Shortn Breath 2014; 3:165–174.
  • Christenson SA, Steiling K, van den Berge M, Hijazi K, Hiemstra PS, Postma DS, et al. Asthma–COPD overlap. Clinical relevance of genomic signatures of type 2 inflammation in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2015; 191:758–766.
  • Vestbo J, Rennard S. Chronic obstructive pulmonary disease biomarker(s) for disease activity needed—Urgently. Am J Respir Crit Care Med. 2010; 182:863–864.
  • Pillai SG, Kong X, Edwards LD, Cho MH, Anderson WH, Coxson HO, et al. Loci identified by genome-wide association studies influence different disease-related phenotypes in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2010; 182:1498–1505.
  • Garcia-Aymerich J, Gómez FP, Benet M, Farrero E, Basagaña X, Gayete À, et al. Identification and prospective validation of clinically relevant chronic obstructive pulmonary disease (COPD) subtypes. Thorax 2011; 66:430–437.
  • Celli BR, Decramer M, Wedzicha JA, Wilson KC, Agustí A, Criner GJ, et al. An Official American thoracic society/European respiratory society statement: research questions in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2015; 191(7):e4–e27.
  • Celli BR, Decramer M, Wedzicha JA, Wilson KC, Agustí A, Criner GJ, et al. An official American Thoracic Society/European Respiratory Society statement: research questions in COPD. Eur Respir J 2015; 45:879–905.
  • Donaldson GC, Mullerova H, Locantore N, Hurst JR, Calverley P, Vestbo J, et al. Factors associated with change in exacerbation frequency in COPD. Respir Res 2013; 14:79.
  • Tashkin DP. Variations in FEV1 decline over time in chronic obstructive pulmonary disease and its implications. Curr Opin Pulm Med 2013; 19:116–124.
  • Cerveri I, Corsico AG, Grosso A, Albicini F, Ronzoni V, Tripon B, et al. The rapid FEV(1) decline in chronic obstructive pulmonary disease is associated with predominant emphysema: a longitudinal study. COPD 2013; 10:55–61.
  • Masaharu Nishimura, Hironi Makita, Katsura Nagai, Satroshi Konno, Yasuyuki Nasuhara, Masaru Hasegawa, et al. Annual change in pulmonary function and clinical pheontype in chronic obstructive pulmonary disease. Am J Respir Crit Caere Med 2012; 185:44–52.
  • Cerveri I, Corsico AG, Grosso A, Albicini F, Ronzoni V, Tripon B, et al. The rapid FEV(1) decline in chronic obstructive pulmonary disease is associated with predominant emphysema: a longitudinal study. COPD 2013 Febr;10(1):55–61.
  • Fabbri LM, Rabe KF. From COPD to chronic systemic inflammatory syndrome? Lancet 2007; 370:797–799.
  • Thomsen M, Ingebrigtsen T, Marott J, et al. Inflammatory biomarkers and exacerbations in chronic obstructive pulmonary disease. JAMA 2013; 309:2353–2361.
  • Agustí A, Edwards LD, Rennard SI, MacNee W, Tal-Singer R, Miller BE, et al. Persistent systemic inflammation is associated with poor clinical outcomes in COPD: A novel phenotype. PLoS ONE 2012; 7:e37483.
  • Celli BR, Locantore N, Yates J, Tal-Singer R, Miller BE, Bakke P, et al. Inflammatory biomarkers improve clinical prediction of mortality in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2012; 185:1065–1072.
  • Siedlinski M, Cho MH, Bakke P, Gulsvik A, Lomas DA, Anderson W, et al. Genome-wide association study of smoking behaviors in COPD patients. Thorax 2011; 66:894–902.
  • Divo M, Cote C, Torres JPd, Casanova C, Marin JM, Pinto-Plata V, et al. Comorbidities and risk of mortality in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2012; 186:155–161.
  • Nussbaumer-Ochsner Y, Rabe KF. Systemic manifestations of COPD. Chest 2011; 139:165–173.
  • Makris D, Paraskakis E, Korakas P, Karagiannakis E, Sourvinos G, Siafakas NM, et al. Exhaled breath condensate 8-Isoprostane, clinical parameters, radiological indices and airway Inflammation in COPD. Respiration 2008; 75:138–144.
  • Fabbri LM, Boyd C, Boschetto P, Rabe KF, Buist AS, Yawn B, et al. How to integrate multiple comorbidities in guideline development: article 10 in Integrating and coordinating efforts in COPD guideline development. An official ATS/ERS workshop report. Proc Am Thorac Soc 2012; 9:274–281.
  • Siva R, Green RH, Brightling CE, Shelley M, Hargadon B, McKenna S, et al. Eosinophilic airway inflammation and exacerbations of COPD: a randomised controlled trial. Eur Respir J 2007; 29:906–913.
  • Singh D, Kolsum U, Brightling CE, Locantore N, Agusti A, Tal-Singer R. Eosinophilic inflammation in COPD: prevalence and clinical characteristics. Eur Respir J 2014; 44:1697–1700.
  • Pascoe S, Locantore N, Dransfield MT, Barnes NC, Pavord ID. Blood eosinophil counts, exacerbations, and response to the addition of inhaled fluticasone furoate to vilanterol in patients with chronic obstructive pulmonary disease: a secondary analysis of data from two parallel randomised controlled trials. Lancet Respir Med 2015; 3:435–442.
  • Makris D, Moschandreas J, Damianaki A, Ntaoukakis E, Siafakas NM, Milic Emili J, et al. Exacerbations and lung function decline in COPD: New insights in current and ex-smokers. Respir Med 2007; 101:1305–1312.
  • Weatherall M, Travers J, Shirtcliffe PM, Marsh SE, Williams MV, Nowitz MR, et al. Distinct clinical phenotypes of airways disease defined by cluster analysis. ERJ 2009; 34(4):812–818.
  • Miravitlles M, Soler-Cataluna J, Calle M. Spanish guideline for COPD (GesEPOC). Update 2014. Arch Bronconeumol 2014; 50: Suppl 1:1–16.
  • Miravitlles M, Soler-Cataluna J, Calle M. Spanish COPD guidelines (GesEPOC): pharmacological treatment of stable COPD. Spanish society of pulmonology and thoracic surgery. Arch Bronconeumol 2012; 48:247–257.
  • Oba Y, Lone NA. Comparative efficacy of long-acting muscarinic antagonists in preventing COPD exacerbations: a network meta-analysis and meta-regression. Ther Adv Respir Dis 2015; 9:3–15.
  • Kew KM, Dias S, Cates CJ. Long-acting inhaled therapy (beta-agonists, anticholinergics and steroids) for COPD: a network meta-analysis. Cochrane Database Syst Rev 2014; 3:CD010844.
  • Wang J, Nie B, Xiong W, Xu Y. Effect of long-acting beta-agonists on the frequency of COPD exacerbations: a meta-analysis. J Clin Pharm Ther 2012; 37:204–211.
  • Calzetta L, Rogliani P, Matera MG, Cazzola M. A systematic review with meta-analysis of dual bronchodilation with LAMA/LABA for the treatment of stable COPD. Chest 2016; 149:1181–1196.
  • Singh D. New combination bronchodilators for chronic obstructive pulmonary disease: current evidence and future perspectives. Br J Clin Pharmacol 2015; 79:695–708.
  • Nannini LJ, Poole P, Milan SJ, Kesterton A. Combined corticosteroid and long-acting beta2-agonist in one inhaler versus inhaled corticosteroids alone for chronic obstructive pulmonary disease. Cochr. Database Syst Rev 2013; 8:CD006826.
  • Magnussen H, Disse B, Rodriguez-Roisin R, Kirsten A, Watz H, Tetzlaff K, et al. Withdrawal of inhaled glycocorticoids and exacerbations of COPD. WISDOM Ivestigators. N Engl J Med 2014; 371(14):128512–94.
  • Wedzicha JA, Banerji D, Chapman KR, Vestbo J, Roche N, Ayers RT, et al. Intecaterol clycopyrronium versus Salmeterol-Fluticasone for COPD. N Eng J Med 2016; 374(23):1222–1234.
  • Vestbo J, Leather D, Diar Bakerly N, New J, Gibson JM, McCorkindale S, et al. Effectiveness of Fluticasone Furoate-Vilanterol for COPD in Clinical Practice. N Engl J Med 2016; 375(13):1253–1260.
  • Kim V, Criner GJ. Chronic bronchitis and chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2013; 187:228–37.
  • Chong J, Leung B, Poole P. Phosphodiesterase 4 inhibitors for chronic obstructive pulmonary disease. Cochrane Database Syst Rev 2013; 11:CD002309.
  • Seemungal TAR, Wilkinson TMA, Hurst JR, Perera WR, Sapsford RJ, Wedzicha JA. Long-term erythromycin therapy Is associated with decreased chronic obstructive pulmonary disease exacerbations. Am J Respir Crit Care Med 2008; 178:1139–1147.
  • Albert RK, Connett J, Bailey WC, Casaburi R, Cooper JADJ, Criner GJ, et al. Azithromycin for prevention of exacerbations of COPD. N Engl J Med 2011; 365:689–698.
  • Herath SC, Poole P. Prophylactic antibiotic therapy for chronic obstructive pulmonary disease (COPD). Cochrane Database Syst Rev 2013; 11:CD009764.
  • Siafakas NM. Preventing exacerbations of COPD — Advice from hippocrates. N Engl J Med 2011; 365:753–754.
  • Poole P, Chong J, Cates CJ. Mucolytic agents versus placebo for chronic bronchitis or chronic obstructive pulmonary disease. Cochrane Database Syst Rev 2015; 7:CD001287.
  • Wise RA, Anzueto A, Cotton D, Dahl R, Devins T, Disse B, et al. Tiotropium respimat inhaler and the risk of death in COPD. N Engl J Med 2013; 369:1491–1501.
  • Montuschi P, Malerba M, Santini G, Miravitlles M. Pharmacological treatment of chronic obstructive pulmonary disease: from evidence-based medicine to phenotyping. Drug Discov Today 2014; 19:1928–1935.
  • Tzortzaki E, Papi A, Neofytou E, Soulitzis N, Siafakas N. Immune and genetic mechanisms in COPD: possible targets for therapeutic interventions. Curr Drug Targets 2013; 14:141–148.
  • Mahler DA, Decramer M, D'Urzo A, Worth H, White T, Alagappan VKT, et al. Dual bronchodilation with QVA149 reduces patient-reported dyspnoea in COPD: the BLAZE study. Eur Respir J 2014; 43:1599–1609.
  • Woodruff PG, Agusti A, Roche N, Singh D, Martinez FJ. Current concepts in targeting COPD pharmacotherapy: making progress towards personalized management. Lancet 2015; 385:1789–1798.
  • Agusti A, Sobradillo P, Celli B. Addressing the complexity of chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2011; 183:1129–1137.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.