| Literature DB >> 28342288 |
Janice M Leung1,2, Pei Yee Tiew3, Micheál Mac Aogáin4, Kurtis F Budden5,6, Valerie Fei Lee Yong4, Sangeeta S Thomas4, Kevin Pethe4, Philip M Hansbro5,6, Sanjay H Chotirmall4.
Abstract
COPD is a major global concern, increasingly so in the context of ageing populations. The role of infections in disease pathogenesis and progression is known to be important, yet the mechanisms involved remain to be fully elucidated. While COPD pathogens such as Haemophilus influenzae, Moraxella catarrhalis and Streptococcus pneumoniae are strongly associated with acute exacerbations of COPD (AECOPD), the clinical relevance of these pathogens in stable COPD patients remains unclear. Immune responses in stable and colonized COPD patients are comparable to those detected in AECOPD, supporting a role for chronic colonization in COPD pathogenesis through perpetuation of deleterious immune responses. Advances in molecular diagnostics and metagenomics now allow the assessment of microbe-COPD interactions with unprecedented personalization and precision, revealing changes in microbiota associated with the COPD disease state. As microbial changes associated with AECOPD, disease severity and therapeutic intervention become apparent, a renewed focus has been placed on the microbiology of COPD and the characterization of the lung microbiome in both its acute and chronic states. Characterization of bacterial, viral and fungal microbiota as part of the lung microbiome has the potential to reveal previously unrecognized prognostic markers of COPD that predict disease outcome or infection susceptibility. Addressing such knowledge gaps will ultimately lead to a more complete understanding of the microbe-host interplay in COPD. This will permit clearer distinctions between acute and chronic infections and more granular patient stratification that will enable better management of these features and of COPD.Entities:
Keywords: acute exacerbations of chronic obstructive pulmonary disease; chronic obstructive pulmonary disease; colonization; infection; microbiome
Mesh:
Year: 2017 PMID: 28342288 PMCID: PMC7169176 DOI: 10.1111/resp.13032
Source DB: PubMed Journal: Respirology ISSN: 1323-7799 Impact factor: 6.424
Figure 1Microbial factors affecting COPD disease pathogenesis and progression. Pathogenic microbes associated with acute and chronic COPD infection influence disease progression. Increasingly, the role of the microbiome and its associated virome and mycobiome is recognized. As microbiome architecture is profoundly altered by COPD therapy, dynamic interaction between microbiology, infection and therapy likely occurs during COPD disease progression. LTB4, leukotriene B4; MDR, multidrug resistance; MMP, matrix metalloproteinase; MPO, myeloperoxidase; NE, neutrophil elastase; TLR, Toll‐like receptor.
Summary table of COPD disease state and associated microorganisms
| COPD‐associated organisms | Prevalence (%) | Sample size ( | Reference | |
|---|---|---|---|---|
| AECOPD | Stable COPD | |||
| Bacteria | ||||
|
| 26 | 17–35 | 410 |
|
|
| 25 | 7.5–17 | 442 |
|
|
| 19 | 2–22 | 247 |
|
|
| 13–29 | — | 332 |
|
|
| 24 | 43 | 141 |
|
| Non‐tuberculous mycobacteria | 22 | — | 73 |
|
| Viruses | ||||
| Rhinovirus/enterovirus | 16 | — | 1728 |
|
| Respiratory syncytial virus | 10 | — | 1728 |
|
| Influenza virus | 8 | — | 1728 |
|
| Adenovirus | 2 | — | 1728 |
|
| Fungi | ||||
|
| — | 14 | 141 |
|
|
| — | 8–55 | 137 |
|
Cumulative sample size is reported for multiple studies; — means not reported.
AECOPD, acute exacerbations of COPD.
TB as a risk factor for COPD
| Author | Year | Country |
| Definition of COPD | Proportion of COPD patients with history of TB | Adjusted OR (95% CI) for COPD |
|---|---|---|---|---|---|---|
| Chan‐Yeung | 2007 | Hong Kong |
289 COPD 289 Controls | FEV1/FVC <70% | 24 (8.3%) | 1.52 (0.45–5.19) |
| Menezes | 2007 |
Brazil Chile Mexico Uruguay Venezuela | 5571 | FEV1/FVC <70% | Not provided | 2.57 (1.69–3.93) |
| Caballero | 2008 | Colombia |
494 COPD 5045 Controls | FEV1/FVC <70% | 62 (12.6%) | 2.94 (1.58–5.49) |
| Lam | 2010 | China | 8066 | FEV1/FVC < LLN | 167 (32%) | 1.37 (1.13–1.67) |
| Lamprecht | 2011 |
BOLD (14 countries) | 4291 Never smokers | FEV1/FVC <70% | 28 (5.4%) |
Females: 1.29 (0.52–3.23) Males: 3.09 (0.60–15.95) |
| Idolor | 2011 | Philippines | 722 | FEV1/FVC <70% | 15 (10.6%) | 6.31 (2.67–15.0) |
| Danielsson | 2012 | Sweden |
86 COPD 462 Controls | FEV1/FVC <70% | 4 (4.7%) | 5.99 (0.82–44) |
| Govender | 2011 | South Africa |
110 COPD 102 Controls | Pulmonologist diagnosis | 17 (15%) | 7.7–8.1 |
| Lee | 2011 | South Korea | 3687 |
FEV1/FVC <70% or FEV1/FVC < LLN |
FEV1/FVC <70%: 82 (27.9%) FEV1/FVC < LLN: 89 (30.3%) |
FEV1/FVC <70%: 2.56 (1.84–3.56) FEV1/FVC < LLN: 2.64 (1.97–3.52) |
| Hooper | 2012 |
BOLD (14 countries) | 4733 | FEV1/FVC < LLN | Not provided | 1.72 (1.19–2.48) |
| Perez‐Padilla | 2012 |
Chile Venezuela Brazil Uruguay Mexico | 2278 Never smokers | FEV1 < FVC <70% | Not provided | 5.82 (2.22–15.28) |
| Hwang | 2014 | South Korea | 1384 | FEV1 < FVC <70% | 44 (29.5%) | 3.12 (2.01–4.67) |
| Smith | 2014 | China | 317 399 Never smokers | FEV1 < FVC <70% | Not provided |
Females: 2.36 (2.06–2.71) Males: 1.81 (1.40–2.34) |
| Amaral | 2015 |
BOLD (14 countries) | 18 644 | FEV1/FVC < LLN | Not provided | 2.51 (1.83–3.42) |
| Chan | 2015 | Taiwan |
96 COPD 104 Non‐COPD | ICD‐9 or ICD‐10 code | 7 (7.3%) | Not provided |
| Jaganath | 2015 | Peru | 2957 | FEV1 < FVC <70% | Not provided |
Females: 7.02 (3.63–13.59) Males: 3.12 (2.02–4.83) |
| Jo | 2015 | South Korea | 9488 | FEV1 < FVC <70% | 94 (12.6%) | 2.55 (1.86–3.50) |
| Lee | 2015 | South Korea | 3473 Never smokers | FEV1 < FVC <70% | Not provided | 4.5 (2.3–8.7) |
| Lee | 2016 | South Korea | 15 063 | FEV1 < FVC <70% |
Non‐smokers 81 (20.3%) Smokers 139 (16.9%) | Non‐smokers: 4.73 (3.63–6.17) |
TB defined as radiographic evidence of prior, inactive TB.
GOLD II–IV patients only.
BOLD, Burden of Obstructive Lung Disease Study; CI, confidence interval; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; ICD, International Statistical Classification of Diseases and Related Health Problems; LLN, lower limit of normal; OR, odds ratio; TB, tuberculosis.
COPD rates among patients with a history of TB
| Author | Year | Country |
| Definition of COPD | Prevalence of COPD in patients with history of TB |
|---|---|---|---|---|---|
| Snider | 1971 | United States | 1403 | FEV1/FVC <70% | 589 (42%) |
| Willcox | 1989 | South Africa | 71 | FEV1/FVC <70% and/or RV > 120% | 48 (68%) |
| Plit | 1998 | South Africa | 74 | FEV1/FVC <70% | 21 (28%) |
| Ramos | 2006 | Brazil | 50 | Not provided | 12 (24%) |
| Pasipanodya | 2007 | United States | 107 | FEV1/FVC <70% | 16 (15%) |
| Girdler‐Brown | 2008 | Lesotho | 184 | FEV1/FVC <70% | 37 (20.1%) |
| Baig | 2010 | Pakistan | 92 | FEV1/FVC <70% | 26 (55.3%) |
| Rhee | 2013 | South Korea | 595 | FEV1/FVC <70% | 457 (76.8%) |
| de la Mora | 2015 | Mexico | 70 | FEV1/FVC <70% | 24 (34.3%) |
| Manji | 2016 | Tanzania | 501 | FEV1/FVC <70% | 210 (42%) |
FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; RV, residual volume; TB, tuberculosis.
Figure 2A proposed schematic representation of the interactions between COPD and tuberculosis (TB). While both conditions share a number of risk factors, TB may contribute to the development of COPD through matrix metalloproteinase‐mediated lung remodelling. COPD may also contribute to TB infection by impairing immune responses, ciliary function and through exposure to inhaled corticosteroids.
Figure 3Role of the microbiome in COPD pathogenesis and progression. Bacteria, viruses and fungi enter the lung through breathing and microaspiration of oral microbes. In the healthy lung, homeostasis is achieved through an appropriate immune response and pathogen clearance. In COPD, an increased abundance of pathogenic organisms and oral taxa is seen in association with reduced overall bacterial diversity. Consequently, perpetuation of a deleterious immune response occurs with associated COPD progression. Host–microbe dialogue may also proceed via the gut–lung axis further exacerbating disease symptoms as demonstrated in other chronic respiratory disease states. IPA, invasive pulmonary aspergillosis; Th, T‐helper.