ABSTRACT
<p><b>OBJECTIVE</b>To investigate the relationship between atrial fibrillation (AF) and serum soluble CD163.</p><p><b>METHODS</b>A total of 336 patients with heart valve disease were included in this study, including 167 with AF and 169 with sinus rhythm. The clinical data were compared between the two grops, and Logistic regression analysis was used to identify the risk factors associated with AF.</p><p><b>RESULTS</b>The levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), tumor necrosis factor (TNF), interleukin-6 (IL - 6), high-sensitivity C-reactive protein (hs-CRP) and left atrial diameter (LAD) all differed significantly between the two groups (P<0.05). Serum soluble CD163 levels in AF patients were significantly higher than those in patients with sinus rhythm (P<0.05). Serum soluble CD163 was positively correlated with TNF (r=0.244, P=0.244), IL-6 (r=0.186, P=0.186), hs-CRP (r=0.183, P=0.183) and LAD (r=0.194, P=0.194) in patients with AF. Logistic regression analysis showed that LAD, IL-6, TNF, hs-CRP and CD163 were all associated with AF. ROC curve analysis showed that the area under curve of serum soluble CD163 was 0.861 in patients with AF (CI 95%: 0.820-0.901, P<0.01) with a sensitivity and a specificity of 80.8 and 76.9%, respectively.</p><p><b>CONCLUSION</b>Serum soluble CD163 level may be a risk factor for AF, and an increased soluble CD163 level may indicate active inflammation in AF patients.</p>
Subject(s)
Humans , Antigens, CD , Blood , Antigens, Differentiation, Myelomonocytic , Blood , Atrial Fibrillation , Blood , C-Reactive Protein , Heart Atria , Pathology , Inflammation , Blood , Interleukin-6 , Blood , Lipoproteins, HDL , Blood , Lipoproteins, LDL , Blood , Receptors, Cell Surface , Blood , Risk Factors , Tumor Necrosis Factor-alpha , BloodABSTRACT
The identification of five marine-derived shell traditional Chinese medicine (TCM) recorded in the Chinese Pharmacopoeia were studied. Using near infrared technology (NIR) combined with principal component analysis (PCA) methods, Ostreae Concha, Haliotidis Concha, and Margaritifera Concha could be efficiently distinguished from Meretricis Concha together with Arcae Concha. In the first principal components, Ostreae Concha exhibited obvious differences with high loadings in 4 236, 5 263, 7 142 cm(-1) concerning to the contents of CaCO3 and H2O in the samples. Arcae Concha and Meretricis Concha displayed significant differences with others in the second principal components, which can be illustrated by high loadings in 5 000 -4 430 cm(-1) areas. It is indicated that the second principal components might be related to organics which contained NH and CH groups, for example proteins. Meanwhile, our data showed a correlation between the function of these shell TCM and their distribution in the PCA plot. These results suggested that organic components in marine-derived shell TCM could not be neglected for their quality control.