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. 2024 Aug 2;25(15):8467.
doi: 10.3390/ijms25158467.

Relationship between Respiratory Microbiome and Systemic Inflammatory Markers in COPD: A Pilot Study

Affiliations

Relationship between Respiratory Microbiome and Systemic Inflammatory Markers in COPD: A Pilot Study

Carme Casadevall et al. Int J Mol Sci. .

Abstract

The respiratory microbiome may influence the development and progression of COPD by modulating local immune and inflammatory events. We aimed to investigate whether relative changes in respiratory bacterial abundance are also associated with systemic inflammation, and explore their relationship with the main clinical COPD phenotypes. Multiplex analysis of inflammatory markers and transcript eosinophil-related markers were analyzed on peripheral blood in a cohort of stable COPD patients (n = 72). Respiratory microbiome composition was analyzed by 16S rRNA microbial sequencing on spontaneous sputum. Spearman correlations were applied to test the relationship between the microbiome composition and systemic inflammation. The concentration of the plasma IL-8 showed an inverted correlation with the relative abundance of 17 bacterial genera in the whole COPD cohort. COPD patients categorized as eosinophilic showed positive relationships with blood eosinophil markers and inversely correlated with the degree of airway obstruction and the number of exacerbations during the previous year. COPD patients categorized as frequent exacerbators were enriched with the bacterial genera Pseudomonas which, in turn, was positively associated with the severity of airflow limitation and the prior year's exacerbation history. The associative relationships of the sputum microbiome with the severity of the disease emphasize the relevance of the interaction between the respiratory microbiota and systemic inflammation.

Keywords: COPD; eosinophils; frequent exacerbators; respiratory microbiome; systemic inflammation.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Most representative significant negative (blue) correlations between blood inflammatory markers and the relative abundance of bacterial genera. Bubble size represents the Spearman’s Rank correlation coefficient and the intensity of bubble color represents the p value.
Figure 2
Figure 2
Relative abundance of bacterial genera with significant differences between IE and FE COPD patients. Data are presented as individual data points with median as a red line and IQR as black lines where * is p < 0.05.
Figure 3
Figure 3
Relationships between the relative abundance of Pseudomonas with lung function and the number of exacerbations during the previous year.
Figure 4
Figure 4
Protein levels of circulating inflammatory markers with significant differences between Non-EOS and EOS patients. Data are presented as individual data points with median as a red line and IQR as black lines. *, p < 0.05: **, p < 0.01.
Figure 5
Figure 5
(a) Relative expression of eight eosinophil-related gene transcripts with significant differences between Non-EOS and EOS patients. Data are presented as individual data points with median (red line) and IQR (black lines). (b) Most representative direct (red) correlations between the level of eosinophilic-related gene transcripts and blood eosinophil counts with the relative abundance of bacterial genera. Bubble size represents the correlation coefficient and the intensity of bubble color represents the p value. (c) Relative abundance of Porphyromonas in EOS and Non-EOS COPD patients. (d) Spearman’s Rank correlation of relative abundance of Mogibacterium with the number of exacerbations during the previous year. Significances: *, p < 0.05; **, p < 0.01; ***, p < 0.001.

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