The non-specific response of immunity has developed as the initial barrier for human protection from invading pathogens, which comprises certain pathogen recognition receptors (PRR) for instance toll-like receptors (TLRs). Toll like receptor 2 (TLR 2) is capable of recognizing pathogen associated molecular patterns (PAMP) coded by Mycobacterium tuberculosis. To evaluate TLR 2 level in sera of pulmonary tuberculosis (TB) patients. About 120 subjects, involving 80 patients with pulmonary TB including 40 multiple drug resistance (MDR), 20 recently diagnosed pulmonary TB (RD) and 20 recurrent TB patients named as old cases (OC), in addition to 40 apparently healthy individuals were studied as control group. Sera from 68 TB patients and 20 healthy controls were obtained for measuring TLR 2 levels by enzyme linked immunosorbent assay (ELISA). The present result revealed that serum levels of TLR 2 showed there is no significant differences between each patient's group and control except OC group given that, has decreased significantly (p<0.05). The mean ±SD of TLR 2 level in MDR, RD, OC and controls were 4.0± 2.4, 3.4±1.4, 2.2±0.9 and 4.1± 3.0 ng/ml, respectively. The results exhibited that during treatment of tuberculosis, patients with pulmonary tuberculosis showed elevated TLR 2 concentration, which looks probably in charge of regulating inflammation and infection. Consequently, this study proposes that killing of MTB could occur in the time of disease management because of effective treatment, in addition to activation and releasing of different immune system mediators via TLR 2.
This study has applied digital image processing on three-dimensional C.T. images to detect and diagnose kidney diseases. Medical images of different cases of kidney diseases were compared with those of healthy cases. Four different kidneys disorders, such as stones, tumors (cancer), cysts, and renal fibrosis were considered in additional to healthy tissues. This method helps in differentiating between the healthy and diseased kidney tissues. It can detect tumors in its very early stages, before they grow large enough to be seen by the human eye. The method used for segmentation and texture analysis was the k-means with co-occurrence matrix. The k-means separates the healthy classes and the tumor classes, and the affected
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Abstract: The M(II) complexes [M2(phen)2(L)(H2O)2Cl2] in (2:1:2 (M:L:phen) molar ratio, (where M(II) =Mn(II), Co(II), Cu(II), Ni(II) and Hg(II), phen = 1,10-phenanthroline; L = 2,2'-(1Z,1'Z)-(biphenyl-4,4'-diylbis(azan-1-yl-1-ylidene))bis(methan-1-yl-1- ylidene)diphenol] were synthesized. The mixed complexes have been prepared and characterized using 1H and13C NMR, UV/Visible, FTIR spectra methods and elemental microanalysis, as well as magnetic susceptibility and conductivity measurements. The metal complexes were tested in vitro against three types of pathogenic bacteria microorganisms: Staphylococcus aurous, Escherichia coli, Bacillussubtilis and Pseudomonasaeroginosa to assess their antimicrobial properties. From this study shows that a
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