Background
Monocyte chemoattractant protein‐1 (MCP‐1), macrophage migration inhibitory factor (MIF), and fractalkine are chemokines that are expressed by a variety of cell types to regulate macrophage inflammatory response. The aim of the study was to examine the effects of periodontitis and rheumatoid arthritis (RA) on their serum and salivary concentrations.
Methods
Adults with either periodontitis (P, n = 21), or with rheumatoid arthritis (RA, n = 23), or with both diseases (RA+P, n = 23) were included in the study. Systemically and periodontally healthy individuals (n = 22) served as controls. Saliva and serum samples were collected from all participants before the medical and periodontal examinations. Salivary and serum MCP‐1, MIF, and fractalkine concentrations were measured by the Luminex technique. Total salivary protein levels were determined by the Bradford assay.
Results
Salivary MCP‐1, MIF, and fractalkine concentrations were elevated in both RA groups (RA+P and RA) in comparison with systemically healthy controls. As related to total salivary protein levels, higher MCP‐1 (P = 0.003) and fractalkine (P = 0.045) concentrations were found in controls compared with the P group. In serum, MCP‐1 concentrations in the RA+P group were higher (P = 0.003) than those of group P. Elevated serum fractalkine concentrations were observed in both periodontitis groups (RA+P, P = 0.014; and P, P = 0.013) compared with controls.
Conclusions
In RA, MCP‐1, MIF, and fractalkine concentrations are elevated in saliva. These chemokines may disrupt oral macrophage responses and potentially take part in the interaction between periodontitis and RA.
In the pathogenesis of periodontitis, an infection-induced inflammatory disease of the tooth-supporting tissues, there is a complex interaction between the subgingival microbiota and host tissues. A periodontal diagnostic tool for detecting the initiation and progression of the disease, monitoring the response to therapy, or measuring the degree of susceptibility to future disease progression has been of interest for a long time. The value of various enzymes, proteins, and immunoglobulins, which are abundant constituents of saliva, as potential biomarkers has been recognized and extensively investigated for periodontal diseases. Gingival defensins and cathelicidins are small cationic antimicrobial peptides that play an important role in innate immune response. However, their applicability as salivary biomarkers is still under debate. The present review focuses on proteomic biomarkers and antimicrobial peptides, in particular, to be used at early phases of periodontitis.
Gene expression of gingival adhesion molecules in periodontitis is regulated by leukocyte transmigration, whereas the neutrophilic antimicrobial peptide HNP-1 is noted as a putative regulator of epithelial adhesion molecules. These observations contribute to the key mechanisms by which future biomarkers might be developed for periodontitis.
Elevated MMP7 expression in gingival tissues of patients with T2DM/GP is related to the activation of reactive oxygen species by hyperglycemia. Suppression of MMP7 expression results in impaired neutrophil transmigration in gingiva.
BACKGROUND: In this study, we aimed to determine whether neutrophil / lymphocyte ratio (NLR), obtained by dividing the number of neutrophils by the number of lymphocytes, and uric acid (UA) levels in multiple sclerosis (MS) patients vary compared with healthy controls and to establish correlations among these changes themselves as well as between such changes and MS subtypes, immunomodulatory drug use, the duration of the disease and prognosis. METHODS: 150 patients who presented to our hospital and were diagnosed with MS and 150 healthy volunteers were retrospectively included in our study. EDSS score (Expanded Disability Status Scale) was used to assess the disability of the patients. RESULTS: Compared to healthy volunteers, MS patients had lower UA levels (p < 0.001) and higher NLR values (p = 0.02). In addition, UA levels were higher in patients with a low EDSS score or those on immunomodulating drugs (p < 0.001, p = 0.04, respectively). NLR value was lower in patients with a low EDSS score (p < 0.001). There was a negative correlation between NLR value and UA (r = -0.23, p = 0.003). Similarly, UA level decreased with increasing EDSS score and duration of disease (r = -0.38, p < 0.001; r = -0.17, p = 0.02, respectively). CONCLUSION: Evaluating the NLR value, recognized as a new marker for infl ammation in MS, together with the UA value, thought to be protective in MS, might be more effective than evaluating these parameters alone in demonstrating disability in patients (Tab. 4, Ref. 28).
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