Heterogeneity of chronic obstructive pulmonary disease: from phenotype to genotype

Xu Chen, Xiaomao Xu, Fei Xiao

PDF(186 KB)
PDF(186 KB)
Front. Med. ›› 2013, Vol. 7 ›› Issue (4) : 425-432. DOI: 10.1007/s11684-013-0295-x
REVIEW
REVIEW

Heterogeneity of chronic obstructive pulmonary disease: from phenotype to genotype

Author information +
History +

Abstract

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality throughout the world and is mainly characterized by persistent airflow limitation. Given that multiple systems other than the lung can be impaired in COPD patients, the traditional FEV1/FVC ratio shows many limitations in COPD diagnosis and assessment. Certain heterogeneities are found in terms of clinical manifestations, physiology, imaging findings, and inflammatory reactions in COPD patients; thus, phenotyping can provide effective information for the prognosis and treatment. However, phenotypes are often based on symptoms or pathophysiological impairments in late-stage COPD, and the role of phenotypes in COPD prevention and early diagnosis remains unclear. This shortcoming may be overcome by the potential genotypes defined by the heterogeneities in certain genes. This review briefly describes the heterogeneity of COPD, with focus on recent advances in the correlations between genotypes and phenotypes. The potential roles of these genotypes and phenotypes in the molecular mechanisms and management of COPD are also elucidated.

Keywords

chronic obstructive pulmonary disease / heterogeneity / phenotype / genotype / prediction

Cite this article

Download citation ▾
Xu Chen, Xiaomao Xu, Fei Xiao. Heterogeneity of chronic obstructive pulmonary disease: from phenotype to genotype. Front Med, 2013, 7(4): 425‒432 https://doi.org/10.1007/s11684-013-0295-x

References

[1]
Vestbo J, Hurd SS, Agusti AG, Jones PW, Vogelmeier C, Anzueto A, Barnes PJ, Fabbri LM, Martinez FJ, Nishimura M, Stockley RA, Sin DD, Rodriguez-Roisin R. Global strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease, GOLD executive summary. Am J Respir Crit Care Med 2013; 187(4): 347–365
CrossRef Pubmed Google scholar
[2]
Salvi SS, Barnes PJ. Chronic obstructive pulmonary disease in non-smokers. Lancet 2009; 374(9691): 733–743
CrossRef Pubmed Google scholar
[3]
Halbert RJ, Natoli JL, Gano A, Badamgarav E, Buist AS, Mannino DM. Global burden of COPD: systematic review and meta-analysis. Eur Respir J 2006; 28(3): 523–532
CrossRef Pubmed Google scholar
[4]
Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 2006; 3(11): e442
CrossRef Pubmed Google scholar
[5]
Corhay JL, Frusch N, Louis R. COPD: genetics and environmental interactions. Rev Med Liege 2012; 67(5–6): 292–297 (in French)
Pubmed
[6]
Force USPST. Screening for chronic obstructive pulmonary disease using spirometry: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 2008; 148(7): 529–534
CrossRef Pubmed Google scholar
[7]
van Dijk WD. Does spirometry still measure up in the diagnosis of COPD? Chest 2013; 143(1): 276–277
CrossRef Pubmed Google scholar
[8]
Mohamed Hoesein FA, Zanen P, Lammers JW. Lower limit of normal or FEV1/FVC<0.70 in diagnosing COPD: an evidence-based review. Respir Med 2011; 105(6): 907–915
CrossRef Pubmed Google scholar
[9]
Han MK, Kim MG, Mardon R, Renner P, Sullivan S, Diette GB, Martinez FJ. Spirometry utilization for COPD: how do we measure up? Chest 2007; 132(2): 403–409
CrossRef Pubmed Google scholar
[10]
Cerveri I, Corsico AG, Accordini S, Niniano R, Ansaldo E, Antó JM, Künzli N, Janson C, Sunyer J, Jarvis D, Svanes C, Gislason T, Heinrich J, Schouten JP, Wjst M, Burney P, de Marco R. Underestimation of airflow obstruction among young adults using FEV1/FVC<70% as a fixed cut-off: a longitudinal evaluation of clinical and functional outcomes. Thorax 2008; 63(12): 1040–1045
CrossRef Pubmed Google scholar
[11]
Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease, updated 2013. Global initiative for Chronic Obstructive Lung Disease, Inc.
[12]
Carolan BJ, Sutherland ER. Clinical phenotypes of chronic obstructive pulmonary disease and asthma: recent advances. J Allergy Clin Immunol 2013; 131(3): 627–634, quiz 635
CrossRef Pubmed Google scholar
[13]
Han MK, Agusti A, Calverley PM, Celli BR, Criner G, Curtis JL, Fabbri LM, Goldin JG, Jones PW, Macnee W, Make BJ, Rabe KF, Rennard SI, Sciurba FC, Silverman EK, Vestbo J, Washko GR, Wouters EF, Martinez FJ. Chronic obstructive pulmonary disease phenotypes: the future of COPD. Am J Respir Crit Care Med 2010; 182(5): 598–604
CrossRef Pubmed Google scholar
[14]
Han MK, Postma D, Mannino DM, Giardino ND, Buist S, Curtis JL, Martinez FJ. Gender and chronic obstructive pulmonary disease: why it matters. Am J Respir Crit Care Med 2007; 176(12): 1179–1184
CrossRef Pubmed Google scholar
[15]
Blanchette CM, Berry SR, Lane SJ. Advances in chronic obstructive pulmonary disease among older adults. Curr Opin Pulm Med2011; 17(2): 84–89
CrossRef Pubmed Google scholar
[16]
Kamil F, Pinzon I, Foreman MG. Sex and race factors in early-onset COPD. Curr Opin Pulm Med 2013; 19(2): 140–144
CrossRef Pubmed Google scholar
[17]
Li Y, Yamagishi K, Yatsuya H, Tamakoshi A, Iso H. Smoking cessation and COPD mortality among Japanese men and women: the JACC study. Prev Med 2012; 55(6): 639–643
CrossRef Pubmed Google scholar
[18]
Silva RO. Clinical phenotypes in chronic obstructive pulmonary disease. Rev Med Chil 2012; 140(7): 926–933 (in Spanish)
Pubmed
[19]
Celli B, Vestbo J, Jenkins CR, Jones PW, Ferguson GT, Calverley PM, Yates JC, Anderson JA, Willits LR, Wise RA; Investigators of the TS. Sex differences in mortality and clinical expressions of patients with chronic obstructive pulmonary disease. The TORCH experience. Am J Respir Crit Care Med2011; 183(3): 317–322
CrossRef Pubmed Google scholar
[20]
Devanarayan V, Scholand MB, Hoidal J, Leppert MF, Crackower MA, O’Neill GP, Gervais FG. Identification of distinct plasma biomarker signatures in patients with rapid and slow declining forms of COPD. COPD 2010; 7(1): 51–58
CrossRef Pubmed Google scholar
[21]
Lee PN, Fry JS. Systematic review of the evidence relating FEV1 decline to giving up smoking. BMC Med 2010; 8(1): 84
CrossRef Pubmed Google scholar
[22]
Wise RA. The value of forced expiratory volume in 1 second decline in the assessment of chronic obstructive pulmonary disease progression. Am J Med 2006; 119(10 Suppl 1): 4–11
CrossRef Pubmed Google scholar
[23]
Lindberg A, Larsson LG, Rönmark E, Jonsson AC, Larsson K, Lundbäck B. Decline in FEV1 in relation to incident chronic obstructive pulmonary disease in a cohort with respiratory symptoms. COPD 2007; 4(1): 5–13
CrossRef Pubmed Google scholar
[24]
Ley-Zaporozhan J, van Beek EJ. Imaging phenotypes of chronic obstructive pulmonary disease. J Magn Reson Imaging 2010; 32(6): 1340–1352
CrossRef Pubmed Google scholar
[25]
Galbán CJ, Han MK, Boes JL, Chughtai KA, Meyer CR, Johnson TD, Galbán S, Rehemtulla A, Kazerooni EA, Martinez FJ, Ross BD. Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression. Nat Med 2012; 18(11): 1711–1715
CrossRef Pubmed Google scholar
[26]
Han MK, Kazerooni EA, Lynch DA, Liu LX, Murray S, Curtis JL, Criner GJ, Kim V, Bowler RP, Hanania NA, Anzueto AR, Make BJ, Hokanson JE, Crapo JD, Silverman EK, Martinez FJ, Washko GR; the COPDGene Investigators.Chronic obstructive pulmonary disease exacerbations in the COPDGene study: associated radiologic phenotypes. Radiology 2011; 261(1): 274–282
CrossRef Pubmed Google scholar
[27]
Hansel NN, Washko GR, Foreman MG, Han MK, Hoffman EA, DeMeo DL, Barr RG, Van Beek EJ, Kazerooni EA, Wise RA, Brown RH, Black-Shinn J, Hokanson JE, Hanania NA, Make B, Silverman EK, Crapo JD, Dransfield MT; COPDGene Investigators. Racial differences in CT phenotypes in COPD. COPD 2013; 10(1): 20–27
CrossRef Pubmed Google scholar
[28]
Burge S, Wedzicha JA. COPD exacerbations: definitions and classifications. Eur Respir J Suppl 2003; 21(41 Supplement): 46s–53s
CrossRef Pubmed Google scholar
[29]
Holloway RA, Donnelly LE. Immunopathogenesis of chronic obstructive pulmonary disease. Curr Opin Pulm Med 2013; 19(2): 95–102
CrossRef Pubmed Google scholar
[30]
Agustí A, Edwards LD, Rennard SI, MacNee W, Tal-Singer R, Miller BE, Vestbo J, Lomas DA, Calverley PM, Wouters E, Crim C, Yates JC, Silverman EK, Coxson HO, Bakke P, Mayer RJ, Celli B;Evaluation of CLtIPSEI. Persistent systemic inflammation is associated with poor clinical outcomes in COPD: a novel phenotype. PLoS ONE 2012; 7(5): e37483
CrossRef Pubmed Google scholar
[31]
Mori M, Andersson CK, Graham GJ, Löfdahl CG, Erjefält JS. Increased number and altered phenotype of lymphatic vessels in peripheral lung compartments of patients with COPD. Respir Res 2013; 14(1): 65
CrossRef Pubmed Google scholar
[32]
Carlin BW. COPD and associated comorbidities: a review of current diagnosis and treatment. Postgrad Med 2012; 124(4): 225–240
CrossRef Pubmed Google scholar
[33]
Sin DD, Anthonisen NR, Soriano JB, Agusti AG. Mortality in COPD: role of comorbidities. Eur Respir J 2006; 28(6): 1245–1257
CrossRef Pubmed Google scholar
[34]
Tsiligianni IG, Kosmas E, Van der Molen T, Tzanakis N. Managing comorbidity in COPD: a difficult task. Curr Drug Targets 2013; 14(2): 158–176
CrossRef Pubmed Google scholar
[35]
Kim V, Han M, Vance G, Make B, Newell J, Hokanson J, Hersh C, Stinson D, Silverman E, Criner G. The chronic bronchitic phenotype of chronic obstructive pulmonary disease: an analysis of the COPDGene study. Chest 2011; 140: 626–633
CrossRef Pubmed Google scholar
[36]
Celli BR, Cote CG, Marin JM, Casanova C, Montes de Oca M, Mendez RA, Pinto Plata V, Cabral HJ. The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med 2004; 350(10): 1005–1012
CrossRef Pubmed Google scholar
[37]
Schünemann H. From BODE to ADO to outcomes in multimorbid COPD patients. Lancet 2009; 374(9691): 667–668
CrossRef Pubmed Google scholar
[38]
Azarisman MS, Fauzi MA, Faizal MP, Azami Z, Roslina AM, Roslan H. The SAFE (SGRQ score, air-flow limitation and exercise tolerance) Index: a new composite score for the stratification of severity in chronic obstructive pulmonary disease. Postgrad Med J 2007; 83(981): 492–497
CrossRef Pubmed Google scholar
[39]
Soler-Cataluña JJ, Martínez-García MA, Sánchez LS, Tordera MP, Sánchez PR. Severe exacerbations and BODE index: two independent risk factors for death in male COPD patients. Respir Med 2009; 103(5): 692–699
CrossRef Pubmed Google scholar
[40]
Miravitlles M, Jose Soler-Cataluna J, Calle M, Soriano JB. Treatment of COPD by clinical phenotypes: putting old evidence into clinical practice. Eur Respir J 2013; 41(6): 1252–1256
CrossRef Pubmed Google scholar
[41]
Fähndrich S, Guttmann C, Bals R. Chronic obstructive pulmonary disease: pathophysiology, diagnosis, and therapy. Dtsch Med Wochenschr 2011; 136(37): 1847–1860, quiz 1861–1862 (in German)
CrossRef Pubmed Google scholar
[42]
Burgel PR, Paillasseur JL, Peene B, Dusser D, Roche N, Coolen J, Troosters T, Decramer M, Janssens W. Two distinct chronic obstructive pulmonary disease (COPD) phenotypes are associated with high risk of mortality. PLoS ONE 2012; 7(12): e51048
CrossRef Pubmed Google scholar
[43]
Burgel PR, Paillasseur JL, Caillaud D, Tillie-Leblond I, Chanez P, Escamilla R, Court-Fortune I, Perez T, Carré P, Roche N, Initiatives BSC. Clinical COPD phenotypes: a novel approach using principal component and cluster analyses. Eur Respir J2010; 36(3): 531–539
CrossRef Pubmed Google scholar
[44]
Wood AM, Stockley RA. The genetics of chronic obstructive pulmonary disease. Respir Res 2006; 7(1): 130
CrossRef Pubmed Google scholar
[45]
Hersh CP, Dahl M, Ly NP, Berkey CS, Nordestgaard BG, Silverman EK. Chronic obstructive pulmonary disease in alpha1-antitrypsin PI MZ heterozygotes: a meta-analysis. Thorax 2004; 59(10): 843–849
CrossRef Pubmed Google scholar
[46]
Sampsonas F, Antonacopoulou A, Spathas D, Lykouras D, Kalofonos H, Flordellis C, Spiropoulos K, Siafakas N. Positive association between two polymorphic sites (+134 insA/delA and G198T) of the endothelin-1 gene and chronic obstructive pulmonary disease. A case-control study. Respir Med 2010; 104(1): 114–120
CrossRef Pubmed Google scholar
[47]
Lee JY, Yoo SS, Kang HG, Jin G, Bae EY, Choi YY, Choi JE, Jeon HS, Lee J, Lee SY, Cha SI, Kim CH, Park JY. A functional polymorphism in the CHRNA3 gene and risk of chronic obstructive pulmonary disease in a Korean population. J Korean Med Sci 2012; 27(12): 1536–1540
CrossRef Pubmed Google scholar
[48]
Li Y, Huang J, Amos CI. Genetic association analysis of complex diseases incorporating intermediate phenotype information. PLoS ONE 2012; 7(10): e46612
CrossRef Pubmed Google scholar
[49]
Yang L, Qiu F, Lu X, Huang D, Ma G, Guo Y, Hu M, Zhou Y, Pan M, Tan Y, Zhong H, Ji W, Wei Q, Ran P, Zhong N, Zhou Y, Lu J. Functional polymorphisms of CHRNA3 predict risks of chronic obstructive pulmonary disease and lung cancer in Chinese. PLoS ONE 2012; 7(10): e46071
CrossRef Pubmed Google scholar
[50]
Zhou H, Yang J, Li D, Xiao J, Wang B, Wang L, Ma C, Xu S, Ou X, Feng Y. Association of IREB2 and CHRNA3/5 polymorphisms with COPD and COPD-related phenotypes in a Chinese Han population. J Hum Genet 2012; 57(11): 738–746
CrossRef Pubmed Google scholar
[51]
Wilk JB, Shrine NR, Loehr LR, Zhao JH, Manichaikul A, Lopez LM, Smith AV, Heckbert SR, Smolonska J, Tang W, Loth DW, Curjuric I, Hui J, Cho MH, Latourelle JC, Henry AP, Aldrich M, Bakke P, Beaty TH, Bentley AR, Borecki IB, Brusselle GG, Burkart KM, Chen TH, Couper D, Crapo JD, Davies G, Dupuis J, Franceschini N, Gulsvik A, Hancock DB, Harris TB, Hofman A, Imboden M, James AL, Khaw KT, Lahousse L, Launer LJ, Litonjua A, Liu Y, Lohman KK, Lomas DA, Lumley T, Marciante KD, McArdle WL, Meibohm B, Morrison AC, Musk AW, Myers RH, North KE, Postma DS, Psaty BM, Rich SS, Rivadeneira F, Rochat T, Rotter JI, Artigas MS, Starr JM, Uitterlinden AG, Wareham NJ, Wijmenga C, Zanen P, Province MA, Silverman EK, Deary IJ, Palmer LJ, Cassano PA, Gudnason V, Barr RG, Loos RJ, Strachan DP, London SJ, Boezen HM, Probst-Hensch N, Gharib SA, Hall IP, O’Connor GT, Tobin MD, Stricker BH. Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction. Am J Respir Crit Care Med 2012; 186(7): 622–632
CrossRef Pubmed Google scholar
[52]
Hardin M, Zielinski J, Wan ES, Hersh CP, Castaldi PJ, Schwinder E, Hawrylkiewicz I, Sliwinski P, Cho MH, Silverman EK. CHRNA3/5, IREB2, and ADCY2 are associated with severe chronic obstructive pulmonary disease in Poland. Am J Respir Cell Mol Biol 2012; 47(2): 203–208
CrossRef Pubmed Google scholar
[53]
Pillai SG, Ge D, Zhu G, Kong X, Shianna KV, Need AC, Feng S, Hersh CP, Bakke P, Gulsvik A, Ruppert A, Lødrup Carlsen KC, Roses A, Anderson W, Rennard SI, Lomas DA, Silverman EK, Goldstein DB; ICGN Investigators. A genome-wide association study in chronic obstructive pulmonary disease (COPD): identification of two major susceptibility loci. PLoS Genet 2009; 5(3): e1000421
CrossRef Pubmed Google scholar
[54]
Mocchegiani E, Giacconi R, Costarelli L. Metalloproteases/anti-metalloproteases imbalance in chronic obstructive pulmonary disease: genetic factors and treatment implications. Curr Opin Pulm Med 2011; 17(Suppl 1): S11–S19
CrossRef Pubmed Google scholar
[55]
Hunninghake GM, Cho MH, Tesfaigzi Y, Soto-Quiros ME, Avila L, Lasky-Su J, Stidley C, Melén E, Söderhäll C, Hallberg J, Kull I, Kere J, Svartengren M, Pershagen G, Wickman M, Lange C, Demeo DL, Hersh CP, Klanderman BJ, Raby BA, Sparrow D, Shapiro SD, Silverman EK, Litonjua AA, Weiss ST, Celedón JC. MMP12, lung function, and COPD in high-risk populations. N Engl J Med 2009; 361(27): 2599–2608
CrossRef Pubmed Google scholar
[56]
Dahl M, Bowler RP, Juul K, Crapo JD, Levy S, Nordestgaard BG. Superoxide dismutase 3 polymorphism associated with reduced lung function in two large populations. Am J Respir Crit Care Med 2008; 178(9): 906–912
CrossRef Pubmed Google scholar
[57]
Berndt A, Leme AS, Shapiro SD. Emerging genetics of COPD. EMBO Mol Med 2012; 4(11): 1144–1155
CrossRef Pubmed Google scholar
[58]
Wu L, Chau J, Young RP, Pokorny V, Mills GD, Hopkins R, McLean L, Black PN. Transforming growth factor-beta1 genotype and susceptibility to chronic obstructive pulmonary disease. Thorax 2004; 59(2): 126–129
CrossRef Pubmed Google scholar
[59]
Zhang L, Chang WW, Ding H, Su H, Wang HY. Transforming growth factor-β1 polymorphisms and chronic obstructive pulmonary disease: a meta-analysis. Int J Tuberc Lung Dis 2011; 15(10): 1301–1307
CrossRef Pubmed Google scholar
[60]
Shukla RK, Kant S, Bhattacharya S, Mittal B. Association of cytokine gene polymorphisms in patients with chronic obstructive pulmonary disease. Oman Med J 2012; 27(4): 285–290
CrossRef Pubmed Google scholar
[61]
Hurst JR, Wedzicha JA. The biology of a chronic obstructive pulmonary disease exacerbation. Clin Chest Med 2007; 28(3): 525–536, v
CrossRef Pubmed Google scholar
[62]
Murphy TF. The role of bacteria in airway inflammation in exacerbations of chronic obstructive pulmonary disease. Curr Opin Infect Dis 2006; 19(3): 225–230
CrossRef Pubmed Google scholar
[63]
Hu G, Shi Z, Hu J, Zou G, Peng G, Ran P. Association between polymorphisms of microsomal epoxide hydrolase and COPD: results from meta-analyses. Respirology 2008; 13(6): 837–850
CrossRef Pubmed Google scholar
[64]
Smolonska J, Wijmenga C, Postma DS, Boezen HM. Meta-analyses on suspected chronic obstructive pulmonary disease genes: a summary of 20 years’ research. Am J Respir Crit Care Med2009; 180(7): 618–631
CrossRef Pubmed Google scholar
[65]
Regan EA, Hokanson JE, Murphy JR, Make B, Lynch DA, Beaty TH, Curran-Everett D, Silverman EK, Crapo JD. Genetic epidemiology of COPD (COPDGene) study design. COPD 2010; 7(1): 32–43
CrossRef Pubmed Google scholar
[66]
Fang X, Wang X, Bai C. COPD in China: the burden and importance of proper management. Chest 2011; 139(4): 920–929
CrossRef Pubmed Google scholar
[67]
Hancock DB, Artigas MS, Gharib SA, Henry A, Manichaikul A, Ramasamy A, Loth DW, Imboden M, Koch B, McArdle WL, Smith AV, Smolonska J, Sood A, Tang W, Wilk JB, Zhai G, Zhao JH, Aschard H, Burkart KM, Curjuric I, Eijgelsheim M, Elliott P, Gu X, Harris TB, Janson C, Homuth G, Hysi PG, Liu JZ, Loehr LR, Lohman K, Loos RJ, Manning AK, Marciante KD, Obeidat M, Postma DS, Aldrich MC, Brusselle GG, Chen TH, Eiriksdottir G, Franceschini N, Heinrich J, Rotter JI, Wijmenga C, Williams OD, Bentley AR, Hofman A, Laurie CC, Lumley T, Morrison AC, Joubert BR, Rivadeneira F, Couper DJ, Kritchevsky SB, Liu Y, Wjst M, Wain LV, Vonk JM, Uitterlinden AG, Rochat T, Rich SS, Psaty BM, O’Connor GT, North KE, Mirel DB, Meibohm B, Launer LJ, Khaw KT, Hartikainen AL, Hammond CJ, Gläser S, Marchini J, Kraft P, Wareham NJ, Völzke H, Stricker BH, Spector TD, Probst-Hensch NM, Jarvis D, Jarvelin MR, Heckbert SR, Gudnason V, Boezen HM, Barr RG, Cassano PA, Strachan DP, Fornage M, Hall IP, Dupuis J, Tobin MD, London SJ. Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function. PLoS Genet 2012; 8(12): e1003098
CrossRef Pubmed Google scholar

Acknowledgements

This work was supported by the National High Technology Research and Development Program (Grant No.2012AA02A511) and the National Key Technology Research and Development Program (Grant No. 2012BAI05B02).
Compliance with ethics guidelines
Xu Chen, Xiaomao Xu, and Fei Xiao hereby declare that no potential conflict of interest exist with any company/ organization whose products or services may have been discussed in this article. This manuscript is a review article and does not involve a research protocol that requires the approval of a relevant institutional review board or ethics committee.

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(186 KB)

Accesses

Citations

Detail

Sections
Recommended

/