Loss of Airway Phylogenetic Diversity Is Associated with Clinical and Pathobiological Markers of Disease Development in COPD
RATIONALE: The airway microbiome has the potential to shape COPD pathogenesis, but its relationship to outcomes in milder disease is unestablished.
OBJECTIVES: Identify sputum microbiome characteristics associated with markers of COPD in participants of the SubPopulations and InteRmediate Outcome Measures of COPD Study (SPIROMICS).
METHODS: Sputum DNA from 877 participants were analyzed using 16S rRNA gene sequencing. Relationships between baseline airway microbiota composition and clinical, radiographic and muco-inflammatory markers, including longitudinal lung function trajectory, were examined.
MEASUREMENTS AND MAIN RESULTS: Participant data represented predominantly milder disease (GOLD 0-2: N=732/877). Phylogenetic diversity (range of different species within a sample) correlated positively with baseline lung function, declined with higher GOLD stage, and correlated negatively with symptom burden, radiographic markers of airway disease, and total mucin concentrations (p<0.001). In co-variate adjusted regression models, organisms robustly associated with better lung function included members of Alloprevotella, Oribacterium, and Veillonella. Conversely, lower lung function, greater symptoms and radiographic measures of small airway disease associated with enrichment in members of Streptococcus, Actinobacillus, Actinomyces, and other genera. Baseline sputum microbiota features also associated with lung function trajectory during SPIROMICS follow up (stable/improved, decliner, or rapid decliner). The 'stable/improved' group (slope of FEV1 regression ≥ 66th percentile) had higher bacterial diversity at baseline, associated with enrichment in Prevotella, Leptotrichia, and Neisseria. In contrast, the 'rapid decliner' group (FEV1 slope ≤ 33rd percentile) had significantly lower baseline diversity, associated with enrichment in Streptococcus.
CONCLUSIONS: In SPIROMICS baseline airway microbiota features demonstrate divergent associations with better or worse COPD-related outcomes.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
|---|---|
| Enthalten in: |
American journal of respiratory and critical care medicine - (2024) vom: 23. Jan. |
| Sprache: |
Englisch |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 23.01.2024 published: Print-Electronic Citation Status Publisher |
|---|
| doi: |
10.1164/rccm.202303-0489OC |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM367521229 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM367521229 | ||
| 003 | DE-627 | ||
| 005 | 20240124232207.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240124s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1164/rccm.202303-0489OC |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1269.xml |
| 035 | |a (DE-627)NLM367521229 | ||
| 035 | |a (NLM)38261629 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Opron, Kristopher |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Loss of Airway Phylogenetic Diversity Is Associated with Clinical and Pathobiological Markers of Disease Development in COPD |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 23.01.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a RATIONALE: The airway microbiome has the potential to shape COPD pathogenesis, but its relationship to outcomes in milder disease is unestablished | ||
| 520 | |a OBJECTIVES: Identify sputum microbiome characteristics associated with markers of COPD in participants of the SubPopulations and InteRmediate Outcome Measures of COPD Study (SPIROMICS) | ||
| 520 | |a METHODS: Sputum DNA from 877 participants were analyzed using 16S rRNA gene sequencing. Relationships between baseline airway microbiota composition and clinical, radiographic and muco-inflammatory markers, including longitudinal lung function trajectory, were examined | ||
| 520 | |a MEASUREMENTS AND MAIN RESULTS: Participant data represented predominantly milder disease (GOLD 0-2: N=732/877). Phylogenetic diversity (range of different species within a sample) correlated positively with baseline lung function, declined with higher GOLD stage, and correlated negatively with symptom burden, radiographic markers of airway disease, and total mucin concentrations (p<0.001). In co-variate adjusted regression models, organisms robustly associated with better lung function included members of Alloprevotella, Oribacterium, and Veillonella. Conversely, lower lung function, greater symptoms and radiographic measures of small airway disease associated with enrichment in members of Streptococcus, Actinobacillus, Actinomyces, and other genera. Baseline sputum microbiota features also associated with lung function trajectory during SPIROMICS follow up (stable/improved, decliner, or rapid decliner). The 'stable/improved' group (slope of FEV1 regression ≥ 66th percentile) had higher bacterial diversity at baseline, associated with enrichment in Prevotella, Leptotrichia, and Neisseria. In contrast, the 'rapid decliner' group (FEV1 slope ≤ 33rd percentile) had significantly lower baseline diversity, associated with enrichment in Streptococcus | ||
| 520 | |a CONCLUSIONS: In SPIROMICS baseline airway microbiota features demonstrate divergent associations with better or worse COPD-related outcomes | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COPD pathogenesis | |
| 650 | 4 | |a lung | |
| 650 | 4 | |a microbiome | |
| 650 | 4 | |a microbiota | |
| 700 | 1 | |a Begley, Lesa A |e verfasserin |4 aut | |
| 700 | 1 | |a Erb-Downward, John R |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Gen |e verfasserin |4 aut | |
| 700 | 1 | |a Alexis, Neil E |e verfasserin |4 aut | |
| 700 | 1 | |a Barjaktarevic, Igor |e verfasserin |4 aut | |
| 700 | 1 | |a Barr, R Graham |e verfasserin |4 aut | |
| 700 | 1 | |a Bleecker, Eugene R |e verfasserin |4 aut | |
| 700 | 1 | |a Boucher, Richard |e verfasserin |4 aut | |
| 700 | 1 | |a Bowler, Russell P |e verfasserin |4 aut | |
| 700 | 1 | |a Christenson, Stephanie A |e verfasserin |4 aut | |
| 700 | 1 | |a Comellas, Alejandro P |e verfasserin |4 aut | |
| 700 | 1 | |a Criner, Gerard |e verfasserin |4 aut | |
| 700 | 1 | |a Cooper, Christopher B |e verfasserin |4 aut | |
| 700 | 1 | |a Couper, David |e verfasserin |4 aut | |
| 700 | 1 | |a Galban, Craig J |e verfasserin |4 aut | |
| 700 | 1 | |a Han, MeiLan K |e verfasserin |4 aut | |
| 700 | 1 | |a Hastie, Annette |e verfasserin |4 aut | |
| 700 | 1 | |a Hatt, Charles |e verfasserin |4 aut | |
| 700 | 1 | |a Hoffman, Eric A |e verfasserin |4 aut | |
| 700 | 1 | |a Kaner, Robert J |e verfasserin |4 aut | |
| 700 | 1 | |a Kesimer, Mehmet |e verfasserin |4 aut | |
| 700 | 1 | |a Krishnan, Jerry A |e verfasserin |4 aut | |
| 700 | 1 | |a LaFon, David C |e verfasserin |4 aut | |
| 700 | 1 | |a Martinez, Fernando J |e verfasserin |4 aut | |
| 700 | 1 | |a Ortega, Victor E |e verfasserin |4 aut | |
| 700 | 1 | |a Peters, Stephen P |e verfasserin |4 aut | |
| 700 | 1 | |a Paine Iii, Robert |e verfasserin |4 aut | |
| 700 | 1 | |a Putcha, Nirupama |e verfasserin |4 aut | |
| 700 | 1 | |a Woodruff, Prescott G |e verfasserin |4 aut | |
| 700 | 1 | |a Huffnagle, Gary B |e verfasserin |4 aut | |
| 700 | 1 | |a Kozik, Ariangela J |e verfasserin |4 aut | |
| 700 | 1 | |a Curtis, Jeffrey L |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Yvonne J |e verfasserin |4 aut | |
| 700 | 0 | |a SPIROMICS Investigators |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t American journal of respiratory and critical care medicine |d 1994 |g (2024) vom: 23. Jan. |w (DE-627)NLM074657305 |x 1535-4970 |7 nnns |
| 773 | 1 | 8 | |g year:2024 |g day:23 |g month:01 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1164/rccm.202303-0489OC |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |j 2024 |b 23 |c 01 | ||