Objectives: Rheumatoid arthritis (RA) is a chronic inflammatory disease affecting the synovium and articular cartilage that initiates joint damage. Rheumatoid arthritis is associated with a change in many inflammatory biomarkers. The present study aims to examine the diagnostic ability of inflammatory adipocytokines (chemerin and visfatin) and their ratio for RA disease. Material and methods: The study recruited 60 RA patients and 30 healthy controls. Serum visfatin and chemerin were measured using the ELISA technique. Some related parameters including body mass index (BMI), lipid profile components, C-reactive protein (CRP), and uric acid levels were also determined and correlated with the level of these adipokines. Results: Serum chemerin, visfatin, CRP, and uric acid (UA) levels were significantly higher (p < 0.05) in RA patients than those of the control group. The multivariate general linear model (GLM) analysis showed that 70.7% of the change in the level of measured parameters can be explained by the presence of RA disease (partial η 2 = 0.707, p < 0.001). To explore which parameter was affected by the diagnosis, the results of tests between subjects showed that all biomarkers were affected significantly by the diagnosis and the greater effects were on CRP (partial η 2 = 0.480, p < 0.001) followed by chemerin (partial η 2 = 0.295, p < 0.001), while visfatin showed partial η 2 = 0.079 only. Chemerin showed the highest sensitivity (88.1%) and specificity (75.9%) for diagnosis of RA at cutoff concentration = 187.88 ng/ml as compared with other parameters. Conclusions: Chemerin and visfatin levels are affected by RA disease when adjusted for other cofounders. The present results suggest that serum chemerin can be used as an inflammatory marker of RA patients as it has good sensitivity and specificity.

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Type 2 diabetes mellitus (T2DM) is an endocrine illness associate with various changes in the immune system and adaptor protein levels. Cytokine dependent hematopoietic cell linker (CLNK) is an adapter protein that regulates immune receptor signaling and acts as a regulator of the receptor signaling of T-cells and natural killer T-cell. The role of CLNK in T2DM is not studied previously. In the present study, serum CLNK level was measured and correlated with some sociodemographic and insulin resistance (IR) parameters. This is achieved by performing measurement of CLNK and insulin parameters (glucose, insulin, and HbA1c in addition to the calculation of the functions of IR (HOMA2IR), insulin sensitivity (HOMA%S), and beta-cell function (HOMA%B)) in 60 T2DM patients and 30 controls. The results indicated a significant increase (p=0.025) in serum CLNK in patients group in comparison with the controls. Multivariate generalized linear model (GLM) analysis revealed no significant effect of age, BMI, and sex on the CLNK level. The results of tests for between-subjects showed that the CLNK affects diagnosis significantly (F=7.445, p=0.008, partial &eta;2 =0.081) and its effect is approximately the same as the effect of insulin (F=8.107, p=0.006, partial &eta;2 =0.087). The correlation study showed a highly significant positive correlation between CLNK and the duration of disease (rho=0.420, p&lt;0.001). It can be concluded that the increase CLNK in T2DM revealing the role of the adaptor proteins level in the nature of disease. Elevation of CLNK level may be used as a predictor for diabetes complications, which needs more investigations.

Objective: Rheumatoid Arthritis (RA) is a chronic inflammatory disease affecting the synovium and articular cartilage that initiates joint damage. RA associates with a change in many inflammatory biomarkers. The present study aims to measure the levels of inflammatory adipocytokines (chemerin and visfatin) and their ratio in addition to some related biomarkers in RA patients group in comparison to healthy control group and find out their efficacy in diagnosis of RA.Methods: The study included 60 RA patients and 30 healthy control group. Serum visfatin and chemerin were measured by using ELISA technique, while other biomarkers were determined spectrophotometrically. Multivariate general linear model analysis and Receiver operating curve was used to study the opportunity of using chemerin and visfatin as diagnostic tools for RA.Results: The results indicated that there was a significant increase (p&lt;0.05) in all lipid profile components, except HDLc that decreased, in RA patients in comparison with healthy control group; while significant decrease (p&lt;0.001) in high density lipoprotein-cholesterol of RA patients in comparison with control group. Serum chemerin, visfatin, C-reactive protein, and uric acid levels were significantly higher (p&lt;0.05) in RA patients than those of control group. The results showed a relatively good sensitivity and specificity of chemerin (sensitivity=88.1, specificity=75.9) at a concentration=187.88ng in diagnosis of RA.Conclusions: chemerin is able to diagnose RA efficiently but this diagnoses, due to relatively small specificity, may interfere with other inflammatory disorders. However, with adjuvant with other diagnostic parameters, chemerin may represent a useful addition in diagnosis of RA.