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. 2023 Mar 21;12(6):959.
doi: 10.3390/cells12060959.

MicroRNA-223 Dampens Pulmonary Inflammation during Pneumococcal Pneumonia

Affiliations

MicroRNA-223 Dampens Pulmonary Inflammation during Pneumococcal Pneumonia

Cengiz Goekeri et al. Cells. .

Abstract

Community-acquired pneumonia remains a major contributor to global communicable disease-mediated mortality. Neutrophils play a leading role in trying to contain bacterial lung infection, but they also drive detrimental pulmonary inflammation, when dysregulated. Here we aimed at understanding the role of microRNA-223 in orchestrating pulmonary inflammation during pneumococcal pneumonia. Serum microRNA-223 was measured in patients with pneumococcal pneumonia and in healthy subjects. Pulmonary inflammation in wild-type and microRNA-223-knockout mice was assessed in terms of disease course, histopathology, cellular recruitment and evaluation of inflammatory protein and gene signatures following pneumococcal infection. Low levels of serum microRNA-223 correlated with increased disease severity in pneumococcal pneumonia patients. Prolonged neutrophilic influx into the lungs and alveolar spaces was detected in pneumococci-infected microRNA-223-knockout mice, possibly accounting for aggravated histopathology and acute lung injury. Expression of microRNA-223 in wild-type mice was induced by pneumococcal infection in a time-dependent manner in whole lungs and lung neutrophils. Single-cell transcriptome analyses of murine lungs revealed a unique profile of antimicrobial and cellular maturation genes that are dysregulated in neutrophils lacking microRNA-223. Taken together, low levels of microRNA-223 in human pneumonia patient serum were associated with increased disease severity, whilst its absence provoked dysregulation of the neutrophil transcriptome in murine pneumococcal pneumonia.

Keywords: Streptococcus pneumoniae; inflammation; microRNA-223; neutrophils; pneumonia.

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Conflict of interest statement

M.W. reports research grants received from the Deutsche Forschungsgemeinschaft (DFG), Bundesministerium für Bildung and Forschung (BMBF), Deutsche Gesellschaft für Pneumologie, European Respiratory Society, Marie Curie Foundation, Else Kröner Fresenius Stiftung, CAPNETZ Stiftung, International Max Planck Research School, Vaxxilon, Actelion, Bayer Health Care, Biotest, Boehringer Ingelheim; personal fees for advisory work from Noxxon, Pantherna, Vaxxilon, Aptarion, Glaxo Smith Kline, Sinoxa, Biotest, Thieme; lecture honoraria from Astra Zeneca, Berlin Chemie, Chiesi, Novartis, Actelion, Boehringer Ingelheim, Glaxo Smith Klein, Biotest, Bayer Health Care; a patent issued in 2012 titled “EPO 12181535.1: IL-27 for modulation of immune response in acute lung injury”; a patent issued in 2010 titled “WO/2010/094491: Means for inhibiting the expression of Ang-2”. G.R. reports personal fees from Astra Zeneca, Atriva, Boehringer Ingelheim, Glaxo Smith Klein, Insmed, Merck Sharp & Dohme, Sanofi, Novartis and Pfizer for consultancy during advisory board meetings; lecture honoraria from Astra Zeneca, Berlin Chemie, BMS, Boehringer Ingelheim, Chiesi, Essex Pharma, Grifols, Glaxo Smith Kline, Insmed, Merck Sharp & Dohme, Roche, Sanofi, Solvay, Takeda, Novartis, Pfizer and Vertex. M.S. reports an institutional grant from Pfizer. G.N. reports research grants received from Biotest, and the BMBF. S.-M.W. reports a research grant received from the BMBF, non-financial support from Deutsche Gesellschaft für Pneumologie und Beatmungsmedizin e.V., non-financial support from Mukoviszidose e.V., and non-financial support from the Universität des Saarlands as well as personal fees and non-financial support from the Schlütersche Verlagsgesellschaft for a presentation. H.K., C.M.Z., G.A.H., A.D.G., K.D., M.-F.M., A.D., U.B., S.B., P.P., W.G., N.S. and C.G. have nothing to disclose.

Figures

Figure 1
Figure 1
miR-223 is differentially regulated in human serum, murine lung tissue and pulmonary neutrophils during pneumococcal pneumonia. (A) miR-223 was quantified in the serum of healthy subjects and CAP patients using qRT-PCR (n = 50 and n = 92, respectively). CAP patients were grouped by CURB-65 scores and the proportional odds model was utilized to analyze the correlation of serum miR-223 relative abundance and disease severity. Spearman correlation was performed to determine the relationship between CRP and serum miR-223 in CAP patients. (B) Expression of miR-223 in vitro and in vivo in WT naïve, sham- and S.pn. ST2-infected mice. Isolated BM-PMN were stimulated 2 and 6 hpi with S.pn. ST2 (n = 9) or sham (n = 5 and n = 7). WT mice were intranasally infected with S.pn. ST2 (n = 7; 24 hpi, n = 10; 48 hpi) or sham (n = 11; 24 hpi, n = 9; 48 hpi), followed by quantification of miR-223 in whole lungs. Expression of miR-223 was also determined in sorted lung PMN (n = 3; naïve, n = 6; 24 hpi S.pn. ST2). (A,B) Mann-Whitney U test, * p < 0.05, **** p < 0.0001. (A) Proportional odds model, p < 0.05, β = −0.91; Spearman correlation, p < 0.05, r = −0.2439. (B) 2-way ANOVA/Šidák’s multiple comparisons test, ** p < 0.01, *** p < 0.001. Data in (A,B) display individual values and median or mean. Error bars indicate (A) minimum to maximum values (CURB-65 plot) and SEM. CAP: community-acquired pneumonia, RQ: relative quantification, CRP: C-reactive protein, CURB-65: (confusion, urea nitrogen, respiratory rate, blood pressure, 65 years of age and older), S.pn. ST2: Streptococcus pneumoniae serotype 2, hpi: hours post-infection, PBS: phosphate-buffered saline.
Figure 2
Figure 2
miR-223−/− mice exhibit aggravated lung inflammation 48 hpi S.pn. ST2. (A) Physiological parameters, including changes in body temperature and body weight post-S.pn. infection in WT and miR-223−/− mice. (B) Bacterial burden recorded in lungs, BAL, spleen and blood in WT and miR-223−/− mice 48 hpi (n = 10–12). (C) Histopathological analyses of murine lungs 48 hpi. H&E staining indicates predominant neutrophilic and lymphocytic cellular infiltrates in lungs of miR-223−/− and WT mice, respectively. Pictures are representative of overall inflammation in WT and miR-223−/− mice. * denotes predominantly neutrophilic infiltrates coupled to pronounced edema, whilst # denotes perivascular lymphocytic cuff formation coupled to marginal edema. Pleuritis, steatitis, perivascular edema and hemorrhage scores collectively represent the overall inflammation score exhibited in the lungs of WT and miR-223−/− mice 48 hpi (n = 4). Scale bar indicates 100 μm. (D) Survival curves of S.pn. ST2-infected WT and miR-223−/− mice over the duration of 120 hpi. (A) 2-way ANOVA/Šidák’s multiple comparisons test, * p < 0.05. (C) Mann-Whitney U test was performed to analyze statistical significance in the overall inflammation score; * p < 0.05. Data in (AC) display individual and mean values, while data in (D) displays censored subjects only. hpi: hours post-infection, CFU: colony-forming unit, BAL: bronchoalveolar lavage.
Figure 3
Figure 3
Absence of miR-223 leads to an enhanced and prolonged PMN response in the lungs and BAL of miR-223−/− mice post-S.pn. ST2 infection. (A) PMN numbers, frequencies and representative dot plots in BAL and lungs 48 hpi (n = 10–12). (B) Frequencies and representative dot plots of BAL and lung PMN undergoing early and late apoptosis 48 hpi (n = 5–7). (C) CXCL1, CXCL2, CXCL5 chemokines quantified in the BAL of mice through ELISA 48 hpi (n = 10–14). (A,C) Unpaired t-test; * p < 0.05. (B) 2-way ANOVA/Šidák’s multiple comparisons test; *** p < 0.001. Data display individual values and means, error bars represent SEM. PMN: polymorphonuclear neutrophil, BAL: bronchoalveolar lavage, S.pn. ST2: Streptococcus pneumoniae serotype 2.
Figure 4
Figure 4
miR-223−/− mice exhibit increased capacity of pro-inflammatory cytokine and chemokine production following S.pn. ST2 infection. Pro-inflammatory cytokines were quantified in the BAL of WT (n = 11) and miR-223−/− (n = 13) mice 48 hpi using the LEGENDPlex Mouse Inflammation Panel (BioLegend, San Diego, CA, USA), whilst MPO was quantified using the MPO Mouse ELISA kit (Hycult Biotech, Uden, Netherlands). Mann-Whitney U test was performed to analyze statistical significance. * p < 0.05, ** p < 0.01; data display individual values and means, error bars represent SEM. BAL: bronchoalveolar lavage, S.pn. ST2: Streptococcus pneumoniae serotype 2, MPO: myeloperoxidase.
Figure 5
Figure 5
scRNA-seq of murine lungs 24h following S.pn. ST2 infection. (A) UMAP plot of identified cell populations in the lungs of WT and miR-223−/− mice following S.pn. ST2 (WT, miR-223−/−; n = 3) or sham (PBS Ctrl, WT; n = 2) infection. (B) Number of significant differentially expressed genes (minimum fold change 1.3) in miR-223−/− mice (relative to WT mice) infected with S.pn. (C) Dot plot of significantly differentially expressed genes involved in inflammation, granulocyte maturation, enzymatic digestion and antibacterial defense in WT versus miR-223−/− mice. (D) Pathway enrichment analysis of miR-223−/− versus WT lung cells sequenced following S.pn. infection. Coloration and point sizes indicate log2-transformed fold changes and mean expression levels, respectively. AT1: alveolar epithelial cells type I, AT2: alveolar epithelial cells type II, AM: alveolar macrophages, SMC: smooth muscle cells, MΦ & DC: interstitial and inflammatory macrophages/monocytes and dendritic cells, ly. Endothelial cells: lymphatic endothelial cells, NK cells: natural killer cells, GO:BP: Gene Ontology:Biological Process, KEGG: Kyoto Encyclopedia of Genes and Genomes, UMAP: uniform manifold approximation and projection.

References

    1. Schirm S., Ahnert P., Wienhold S., Mueller-Redetzky H., Nouailles-Kursar G., Loeffler M., Witzenrath M., Scholz M. A Biomathematical Model of Pneumococcal Lung Infection and Antibiotic Treatment in Mice. PLoS ONE. 2016;11:e0156047. doi: 10.1371/journal.pone.0156047. - DOI - PMC - PubMed
    1. WHO Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000–2019. [(accessed on 6 March 2023)]. Available online: https://www.who.int/data/gho/data/themes/mortality-and-global-health-est....
    1. GBS 2019 LRI Collaborators Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: Results from the Global Burden of Disease Study 2019. Lancet Infect. Dis. 2022;22:1626–1647. doi: 10.1016/S1473-3099(22)00510-2. - DOI - PMC - PubMed
    1. Cilloniz C., Ferrer M., Liapikou A., Garcia-Vidal C., Gabarrus A., Ceccato A., Puig de La Bellacasa J., Blasi F., Torres A. Acute respiratory distress syndrome in mechanically ventilated patients with community-acquired pneumonia. Eur. Respir. J. 2018;51:1702215. doi: 10.1183/13993003.02215-2017. - DOI - PubMed
    1. Griffiths M.J.D., McAuley D.F., Perkins G.D., Barrett N., Blackwood B., Boyle A., Chee N., Connolly B., Dark P., Finney S., et al. Guidelines on the management of acute respiratory distress syndrome. BMJ Open Respir. Res. 2019;6:e000420. doi: 10.1136/bmjresp-2019-000420. - DOI - PMC - PubMed

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