| Literature DB >> 25183374 |
Arjun K Ravi, Shruti Khurana, Jonathan Lemon, Jonathan Plumb, George Booth, Louise Healy, Matthew Catley, Jørgen Vestbo, Dave Singh.
Abstract
BACKGROUND: COPD patients have increased numbers of macrophages and neutrophils in the lungs. Interleukin-6 (IL-6) trans-signaling via its soluble receptor sIL-6R, governs the influx of innate immune cells to inflammatory foci through regulation of the chemokine CCL3. We hypothesized that there would be enhanced levels of IL-6, sIL-6R and CCL3 in COPD sputum.Entities:
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Year: 2014 PMID: 25183374 PMCID: PMC4156958 DOI: 10.1186/s12931-014-0103-4
Source DB: PubMed Journal: Respir Res ISSN: 1465-9921
Demographic details of study participants
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| Sex (F:M) | 23:36 | 8:7 | 4:11 | - |
| Age* | 67 (45–75) | 52 (38–62) | 32 (19–75) | p < 0.0001 |
| Pack years smoked*§ | 34.9 (12.5-122.2) | 29 (15–67) | 0 | ns |
| Current smokers (%) | 41 | 100 | 0 | - |
| ICS users (%) | 67.8 | - | - | - |
| Chronic Bronchitis (n) (%) | 35 (59%) | - | - | - |
| FEV1% predicted1a | 61.6 (18.1) | 95.7 (13.0) | 116.7 (13.8) | p < 0.0001 |
| FEV1/FVC %1* | 51.0 (28.9-67.0) | 74.8 (70.5-80.8) | 85.7 (72.6-101.6) | p < 0.0001 |
| FEV1 % predicted2a | 64.5 (17.2) | 98.64 (12.1) | 117.9 (14.3) | p < 0.0001 |
| FEV1/FVC %2* | 57.1 (25.8-69.6) | 73.0 (70.2-82.5) | 86.1 (80.7-93.7) | p < 0.0001 |
| IC (L)1a | 2.2 (0.7) | - | - | - |
| TLC% predicted1* | 102.3 (8.4-164.7) | - | - | - |
| KCO% predicted1a | 88.1 (25) | - | - | - |
| 6MWT distance (m)* | 387 (28–540) | - | - | - |
| SGRQ (total)a | 37 (19.8) | - | - | - |
| mMRCa | 1.2 (1) | - | - | - |
| CATa | 17.5 (7.9) | - | - | - |
*Data presented as median (range). aData presented as mean (SD). 1Pre-bronchodilator. 2Post-bronchodilator. Explanation of abbreviations: IC = Inspiratory capacity, TLC = total lung capacity, KCO = transfer coefficient, 6MWT = 6 minute walk test, SGRQ = St George’s respiratory questionnaire, mMRC = modified Medical Research Council Dyspnoea score, CAT = COPD assessment tool, ns = not significant. The statistical significance of differences between groups was determined using either ANOVA + Tukey’s multiple comparison test or Kruskal-Wallis + Dunn’s post-test (for analysis of parametric and non-parametric data respectively). §Mann–Whitney U test was performed to assess the statistical significance of differences in pack-year smoking history between COPD & S.
Sputum cell counts
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| Neutrophil% | 69.5 (23.8)* | 54 (25.1) | 38.7 (27.2) | 0.0003 |
| Macrophage% | 26.6 (23.7)**§ | 48.7 (28.4) | 46.3 (33.1) | 0.0033 |
| Eosinophil %^ | 1.3 (0–23.3)*† | 0 (0–1.5) | 0 (0–2.5) | <0.0001 |
| Lymphocyte % | 0.1 (0.4) | 0.1 (0.5) | 0.02 (0.06) | ns |
| TCC*106 | 3.3 (3.6)** | 2.9 (4.4) | 0.7 (0.7) | ns |
| TCC/g*106 | 3.5 (3) | 2.9 (3.2) | 2.4 (2.2) | ns |
| Neutrophil TCC/g*106 | 2.6 (2.8)*† | 0.3 (0.2) | 0.3 (0.2) | 0.0004 |
| Macrophage TCC/g*106 | 0.7 (0.7) | 0.5 (0.8) | 0.4 (0.5) | ns |
| Eosinophil TCC/g*106^ | 0.03 (0–1.5) ‡¶ | 0 (0–0.02) | 0 (0–0.01) | <0.0001 |
| Lymphocyte TCC/g*106 | 0.003 (0.007) | 0.001 (0.002) | 0.0001 (0.001) | ns |
Data is presented as mean (SD) with the exception of ^eosinophil % and eosinophil TCC/g which are presented as median (range). Explanation of abbreviations: TCC Total cell count, TCC/g Total cell count/gram *p < 0.001 COPD vs HNS, **p < 0.05 COPD vs HNS, §p < 0.05 COPD vs S, †p < 0.001 COPD vs S, ‡p < 0.0001 COPD vs HNS, ¶ p < 0.0001 COPD vs S.
Figure 1Sputum Cytokine Concentrations. Concentrations of (A) IL-6, (B) sIL-6R and (C) CCL3 in induced sputum from HNS, S and COPD patients. Each dot represents the data from an individual patient. The horizontal bar represents the median value. The dotted line represents the lower limit of quantification (LLOQ) for the respective analytes. (B) 1 COPD subject had sIL-6R levels registering below the LLOQ. (C) 6 HNS and 12 S had CCL3 levels registering below the lower limit of quantification.
Figure 2Univariate Correlations of COPD sputum CCL3 with IL-6 and sIL-6R. Univariate correlation between sputum (A) IL-6 and (B) sIL-6R with CCL3 in COPD patients. r represents the Spearman Rank correlation coefficient. Each dot represents the data for an individual patient.
Figure 3Univariate Correlation of COPD sputum sIL-6R with sputum neutrophil TCC/g. Univariate correlation between COPD sputum sIL-6R and neutrophil TCC/g. r represents the Spearman Rank correlation coefficient. Each dot represents the data for an individual patient.
Figure 4CCR1 and CCR5 expression of sputum inflammatory cells. Representative images of (A) CCR1 and (B) CCR5 expression on sputum inflammatory cells. Immunocytochemical labeling on sputum inflammatory cells from COPD patients (n = 3). CCR1 and CCR5 were detected using 3,3′-diaminobenzidine (DAB) substrate (brown). Arrows indicate CCR1 (A) and CCR5 (B) immunoreactive cells. (C) Negative control slide.
Figure 5Effect of CCL3 antagonism on migration of CD14+ monocytes towards COPD sputum supernatant. Assessment of CD14+ monocyte migration towards COPD PBS sputum supernatant in the presence of anti-human CCL3 mAb and anti-human CCR5 mAb. Peripheral blood CD14+ monocytes were isolated from three HNS. Chemotaxis is presented as the percentage of maximum chemotaxis (CD14+ monocytes added directly to wells of the lower insert of the chemotaxis plate) and is described as mean (SD). Data represents the results from three independently conducted experiments. Statistical significance of differences in %CD14+ monocyte chemotaxis observed between control (PBS sputum supernatant alone) and experimental conditions (+CCL3 mAb or + CCR5 mAb) was determined by application of paired parametric t-tests.