| Literature DB >> 32461855 |
Ovidiu Berghi1, Mihai Dumitru2, Ramona Caragheorgheopol3,4, Catalin Tucureanu3, Anca Simioniuc-Petrescu5, Roxana Sfrent-Cornateanu6, Calin Giurcaneanu7.
Abstract
Background Allergic rhinitis (AR) is a chronic and frequent condition characterized by an excessive response of the immune system to innocent substances encountered in the nasal mucosa. These reactions are mediated by many factors, including chemokines. Chemokine ligand 3 (CCL3, a macrophage inflammatory protein 1α) is a chemokine implicated in the activation of mast cells - white cells shown to be highly involved in orchestrating allergic reactions. The present study evaluated the role of CCL3 in AR. Material and methods Thirty-nine participants, including 24 patients with AR and 15 healthy controls, were evaluated for allergies to dust mites, cat and dog danders, cockroaches (Blatella germanica), molds, grasses, weeds, and tree pollen using skin prick tests. Participants were also evaluated for inflammatory conditions by measuring total blood count with differential; concentrations of rheumatoid factor, fibrinogen, and C-reactive protein; and erythrocyte sedimentation rate. CCL3 in blood samples was measured at the Immunology Laboratory, Cantacuzino National Institute for Military Medical Research and Development, Bucharest, Romania, using Human Multianalyte Profiling Base Kits (R&D Systems Inc., Minneapolis, MN). Results Mean serum CCL3 concentration was significantly higher in patients with AR than in controls (15.03 ± 7.11 pg/ml vs. 8.34 ± 4.46 pg/ml, p = 0.001 [t-test] and p = 0.026 [Mann-Whitney test]). CCL3 concentrations correlated with polysensitization, defined as two or more positive prick tests per patient (r = 0.325, p = 0.046) and seasonal AR (r = 0.482, p = 0.002). Conclusions Elevated levels of CCL3 were seen in our patients with AR. We have observed correlations with polysensitization and seasonal allergies. These results suggest that chemokines might play an important role in the pathogenesis of AR. In the future, chemokines might be used in endotype classification of patients with AR and as a possible target in the treatment of AR.Entities:
Keywords: allergic rhinitis; chemokine
Year: 2020 PMID: 32461855 PMCID: PMC7243633 DOI: 10.7759/cureus.7783
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Baseline demographic and clinical characteristics of the study population
AR: Allergic rhinitis; M/W: Men/women; IgE: Immunoglobulin E; VEMS: Maximum expiratory ventilation per second; N.V.: Normal values.
| Characteristic | AR patients | Healthy controls |
| Number | 24 | 15 |
| Age (median), years | 33 | 39 |
| Sex: M/W | 9/15 | 5/10 |
| IgE | 116.34 | 14.99 |
| Eosinophils (absolute number) (N.V. < 500 cells per microliter of blood) | 350 | 200 |
| Eosinophils (percent) (N.V. < 7% of the circulating leukocytes) | 3.4% | 1.8% |
| VEMS (ml/s) | 128 | 27 |
CCL3 concentrations in AR patients and healthy controls
AR: Allergic rhinitis; CCL3: Chemokine ligand 3.
| Group | N | Mean (pg/ml) | Standard deviation | Standard error (mean) | |
| CCL3 | AR patients | 24 | 15.031 | 7.116 | 1.452 |
| Healthy controls | 15 | 8.340 | 4.465 | 1.152 |
Statistical comparisons of CCL3 concentrations in AR patients and healthy controls, as determined by independent samples t-tests
AR: Allergic rhinitis; CCL3: Chemokine ligand 3; t: Student t-test; df: Degrees of freedom.
| t-test for equality of means | ||||||||||
| t | df | p-value | Mean difference | Standard error difference | 95% Confidence Interval of the difference | |||||
| Lower | Upper | |||||||||
| CCL3 | ||||||||||
| Equal variances not assumed | 3.60 | 36.990 | 0.001 | 6.69 | 1.85 | 2.93 | 10.44 | |||
Figure 1CCL3 values patients versus witness
Correlations of parameters in this study
AR: Allergic rhinitis; NMH: Nasal mucosal hypertrophy; TNSS: Total nasal symptom score; CCL3: Chemokine ligand 3.
| Name | CCL3 | Age | AR | Duration of disease | NMH | Seasonality | Sensitization | TNSS | ||
| Name | Pearson Correlation | 1 | -.472** | .177 | -1.000** | -.532** | -.556** | -.936** | -.948** | -.741** |
| Sig. (2-tailed) | .002 | .072 | .000 | .000 | .000 | .000 | .000 | .000 | ||
| CCL3 | Pearson Correlation | -.472** | 1 | .340* | .472** | .346* | .570** | .482** | .330* | .495** |
| Sig. (2-tailed) | .002 | .034 | .002 | .031 | .000 | .002 | .040 | .001 | ||
| Age | Pearson Correlation | .177 | .340* | 1 | -.177 | -.102 | -.027 | -.154 | -.216* | -.298** |
| Sig. (2-tailed) | .072 | .034 | .072 | .301 | .782 | .117 | .027 | .002 | ||
| AR | Pearson Correlation | -1.000** | .472** | -.177 | 1 | .532** | .556** | .936** | .948** | .741** |
| Sig. (2-tailed) | .000 | .002 | .072 | .000 | .000 | .000 | .000 | .000 | ||
| Duration of disease | Pearson Correlation | -.532** | .346* | -.102 | .532** | 1 | .427** | .473** | .509** | .532** |
| Sig. (2-tailed) | .000 | .031 | .301 | .000 | .000 | .000 | .000 | .000 | ||
| NMH | Pearson Correlation | -.556** | .570** | -.027 | .556** | .427** | 1 | .601** | .528** | .564** |
| Sig. (2-tailed) | .000 | .000 | .782 | .000 | .000 | .000 | .000 | .000 | ||
| Seasonality | Pearson Correlation | -.936** | .482** | -.154 | .936** | .473** | .601** | 1 | .906** | .707** |
| Sig. (2-tailed) | .000 | .002 | .117 | .000 | .000 | .000 | .000 | .000 | ||
| Sensitization | Pearson Correlation | -.948** | .330* | -.216* | .948** | .509** | .528** | .906** | 1 | .775** |
| Sig. (2-tailed) | .000 | .040 | .027 | .000 | .000 | .000 | .000 | .000 | ||
| TNSS | Pearson Correlation | -.741** | .495** | -.298** | .741** | .532** | .564** | .707** | .775** | 1 |
| Sig. (2-tailed) | .000 | .001 | .002 | .000 | .000 | .000 | .000 | .000 | ||