Airway "Resistotypes" and Clinical Outcomes in Bronchiectasis.
Mac Aogáin, M
Ivan, FX
Jaggi, TK
Richardson, H
Shoemark, A
Narayana, JK
Dicker, AJ
Koh, MS
Lee, KCH
Thun How, O
Poh, ME
Chin, KK
Hou, ALY
Ser Hon, P
Low, TB
Abisheganaden, JA
Dimakou, K
Digalaki, A
Kosti, C
Gkousiou, A
Hansbro, PM
Blasi, F
Aliberti, S
Chalmers, JD
Chotirmall, SH
- Publisher:
- AMER THORACIC SOC
- Publication Type:
- Journal Article
- Citation:
- Am J Respir Crit Care Med, 2024, 210, (1), pp. 47-62
- Issue Date:
- 2024-07-01
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Mac Aogáin, M | |
dc.contributor.author | Ivan, FX | |
dc.contributor.author | Jaggi, TK | |
dc.contributor.author | Richardson, H | |
dc.contributor.author | Shoemark, A | |
dc.contributor.author | Narayana, JK | |
dc.contributor.author | Dicker, AJ | |
dc.contributor.author | Koh, MS | |
dc.contributor.author | Lee, KCH | |
dc.contributor.author | Thun How, O | |
dc.contributor.author | Poh, ME | |
dc.contributor.author | Chin, KK | |
dc.contributor.author | Hou, ALY | |
dc.contributor.author | Ser Hon, P | |
dc.contributor.author | Low, TB | |
dc.contributor.author | Abisheganaden, JA | |
dc.contributor.author | Dimakou, K | |
dc.contributor.author | Digalaki, A | |
dc.contributor.author | Kosti, C | |
dc.contributor.author | Gkousiou, A | |
dc.contributor.author | Hansbro, PM | |
dc.contributor.author | Blasi, F | |
dc.contributor.author | Aliberti, S | |
dc.contributor.author | Chalmers, JD | |
dc.contributor.author | Chotirmall, SH | |
dc.date.accessioned | 2025-01-02T04:03:28Z | |
dc.date.available | 2025-01-02T04:03:28Z | |
dc.date.issued | 2024-07-01 | |
dc.identifier.citation | Am J Respir Crit Care Med, 2024, 210, (1), pp. 47-62 | |
dc.identifier.issn | 1073-449X | |
dc.identifier.issn | 1535-4970 | |
dc.identifier.uri | http://hdl.handle.net/10453/182806 | |
dc.description.abstract | Rationale: Chronic infection and inflammation shapes the airway microbiome in bronchiectasis. Utilizing whole-genome shotgun metagenomics to analyze the airway resistome provides insight into interplay between microbes, resistance genes, and clinical outcomes. Objectives: To apply whole-genome shotgun metagenomics to the airway microbiome in bronchiectasis to highlight a diverse pool of antimicrobial resistance genes: the "resistome," the clinical significance of which remains unclear. Methods: Individuals with bronchiectasis were prospectively recruited into cross-sectional and longitudinal cohorts (n = 280), including the international multicenter cross-sectional Cohort of Asian and Matched European Bronchiectasis 2 (CAMEB 2) study (n = 251) and two independent cohorts, one describing patients experiencing acute exacerbation and a further cohort of patients undergoing Pseudomonas aeruginosa eradication treatment. Sputum was subjected to metagenomic sequencing, and the bronchiectasis resistome was evaluated in association with clinical outcomes and underlying host microbiomes. Measurements and Main Results: The bronchiectasis resistome features a unique resistance gene profile and increased counts of aminoglycoside, bicyclomycin, phenicol, triclosan, and multidrug resistance genes. Longitudinally, it exhibits within-patient stability over time and during exacerbations despite between-patient heterogeneity. Proportional differences in baseline resistome profiles, including increased macrolide and multidrug resistance genes, associate with shorter intervals to the next exacerbation, whereas distinct resistome archetypes associate with frequent exacerbations, poorer lung function, geographic origin, and the host microbiome. Unsupervised analysis of resistome profiles identified two clinically relevant "resistotypes," RT1 and RT2, the latter characterized by poor clinical outcomes, increased multidrug resistance, and P. aeruginosa. Successful targeted eradication in P. aeruginosa-colonized individuals mediated reversion from RT2 to RT1, a more clinically favorable resistome profile demonstrating reduced resistance gene diversity. Conclusions: The bronchiectasis resistome associates with clinical outcomes, geographic origin, and the underlying host microbiome. Bronchiectasis resistotypes link to clinical disease and are modifiable through targeted antimicrobial therapy. | |
dc.format | ||
dc.language | eng | |
dc.publisher | AMER THORACIC SOC | |
dc.relation | http://purl.org/au-research/grants/nhmrc/1175134 | |
dc.relation | http://purl.org/au-research/grants/nhmrc/2010287 | |
dc.relation.ispartof | Am J Respir Crit Care Med | |
dc.relation.isbasedon | 10.1164/rccm.202306-1059OC | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 11 Medical and Health Sciences | |
dc.subject.classification | Respiratory System | |
dc.subject.classification | 3201 Cardiovascular medicine and haematology | |
dc.subject.classification | 3202 Clinical sciences | |
dc.subject.mesh | Bronchiectasis | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Male | |
dc.subject.mesh | Female | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Longitudinal Studies | |
dc.subject.mesh | Anti-Bacterial Agents | |
dc.subject.mesh | Prospective Studies | |
dc.subject.mesh | Microbiota | |
dc.subject.mesh | Pseudomonas aeruginosa | |
dc.subject.mesh | Sputum | |
dc.subject.mesh | Metagenomics | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Pseudomonas Infections | |
dc.subject.mesh | Sputum | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Pseudomonas aeruginosa | |
dc.subject.mesh | Pseudomonas Infections | |
dc.subject.mesh | Bronchiectasis | |
dc.subject.mesh | Anti-Bacterial Agents | |
dc.subject.mesh | Longitudinal Studies | |
dc.subject.mesh | Prospective Studies | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Female | |
dc.subject.mesh | Male | |
dc.subject.mesh | Metagenomics | |
dc.subject.mesh | Microbiota | |
dc.subject.mesh | Bronchiectasis | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Male | |
dc.subject.mesh | Female | |
dc.subject.mesh | Middle Aged | |
dc.subject.mesh | Aged | |
dc.subject.mesh | Cross-Sectional Studies | |
dc.subject.mesh | Longitudinal Studies | |
dc.subject.mesh | Anti-Bacterial Agents | |
dc.subject.mesh | Prospective Studies | |
dc.subject.mesh | Microbiota | |
dc.subject.mesh | Pseudomonas aeruginosa | |
dc.subject.mesh | Sputum | |
dc.subject.mesh | Metagenomics | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Pseudomonas Infections | |
dc.title | Airway "Resistotypes" and Clinical Outcomes in Bronchiectasis. | |
dc.type | Journal Article | |
utslib.citation.volume | 210 | |
utslib.location.activity | United States | |
utslib.for | 11 Medical and Health Sciences | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Science | |
pubs.organisational-group | University of Technology Sydney/Faculty of Science/School of Life Sciences | |
pubs.organisational-group | University of Technology Sydney/UTS Groups | |
pubs.organisational-group | University of Technology Sydney/UTS Groups/Australian Institute for Microbiology & Infection (AIMI) | |
pubs.organisational-group | University of Technology Sydney/UTS Groups/Centre for Inflammation (CFI) | |
pubs.organisational-group | University of Technology Sydney/UTS Groups/Australian Institute for Microbiology & Infection (AIMI)/Australian Institute for Microbiology & Infection (AIMI) Associate Members | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.date.updated | 2025-01-02T04:03:25Z | |
pubs.issue | 1 | |
pubs.publication-status | Published | |
pubs.volume | 210 | |
utslib.citation.issue | 1 |
Abstract:
Rationale: Chronic infection and inflammation shapes the airway microbiome in bronchiectasis. Utilizing whole-genome shotgun metagenomics to analyze the airway resistome provides insight into interplay between microbes, resistance genes, and clinical outcomes. Objectives: To apply whole-genome shotgun metagenomics to the airway microbiome in bronchiectasis to highlight a diverse pool of antimicrobial resistance genes: the "resistome," the clinical significance of which remains unclear. Methods: Individuals with bronchiectasis were prospectively recruited into cross-sectional and longitudinal cohorts (n = 280), including the international multicenter cross-sectional Cohort of Asian and Matched European Bronchiectasis 2 (CAMEB 2) study (n = 251) and two independent cohorts, one describing patients experiencing acute exacerbation and a further cohort of patients undergoing Pseudomonas aeruginosa eradication treatment. Sputum was subjected to metagenomic sequencing, and the bronchiectasis resistome was evaluated in association with clinical outcomes and underlying host microbiomes. Measurements and Main Results: The bronchiectasis resistome features a unique resistance gene profile and increased counts of aminoglycoside, bicyclomycin, phenicol, triclosan, and multidrug resistance genes. Longitudinally, it exhibits within-patient stability over time and during exacerbations despite between-patient heterogeneity. Proportional differences in baseline resistome profiles, including increased macrolide and multidrug resistance genes, associate with shorter intervals to the next exacerbation, whereas distinct resistome archetypes associate with frequent exacerbations, poorer lung function, geographic origin, and the host microbiome. Unsupervised analysis of resistome profiles identified two clinically relevant "resistotypes," RT1 and RT2, the latter characterized by poor clinical outcomes, increased multidrug resistance, and P. aeruginosa. Successful targeted eradication in P. aeruginosa-colonized individuals mediated reversion from RT2 to RT1, a more clinically favorable resistome profile demonstrating reduced resistance gene diversity. Conclusions: The bronchiectasis resistome associates with clinical outcomes, geographic origin, and the underlying host microbiome. Bronchiectasis resistotypes link to clinical disease and are modifiable through targeted antimicrobial therapy.
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