Lipid Profile Changes in Toxoplasmosis Aborted Women

Blood lipids are important mediators of host defense during the acute phase of innate immunity. Parasites may induce significant changes in lipid parameters, as has been shown in vitro study where substitution of serum by lipid/cholesterol in medium and in experimental models (in vivo). Thus changes in lipid profile occur in patients that having active infections with most of the parasites. Toxoplasma cannot synthesize cholesterol and depends upon acquisition of low density lipoprotein (LDL)-derived from the host cell, via endocytosis mediated by the LDL receptor or the LDL receptor-related protein.The present study is conducted to evaluate the changes in lipid profile in T. gondii infected women.A total of patients included 87 aborted women who had positive test for toxoplasmosis and a two control groups (115 non toxoplasmosis women): The first control group (negative control) contains 88 apparently healthy women and the second control group (positive control) contains 87 aborted women, were registered from Al-Yarmouk Teaching Hospital in Baghdad. Both control groups had negative test for toxoplasmosis. These samples were collected between the period January 2009 and May 2010. Patients and controls women's had comparable age that ranged between 15-45 years old. Serum samples were collected from each woman in the three groups and then the Enzyme Linked Immunosorbant Assay (ELISA) and Lipid profile assays were performed by using two commercial kits. In the basis of ELISA test anti-T. gondii antibodies (IgG and IgM), detected in the patients sera, three types of toxoplasmosis were identified. These were; acute type, sub-acute type and chronic type. Most of patients had chronic type 75 (86.2%). There were significant decreased in the total cholesterol are 165.05 (control groups 212.44, 213.33 respectively), triglycerides 134.98 (control groups 173.81, 174.40 respectively), LDL 87.78 (control groups 137.32, 135.87 respectively) and vLDL values 26.99 (control groups 34.70, 34.60 respectively). In contrast, there was significant increased in HDL value (49.0) as compared with control groups (40.42, 38.78 respectively). Also the result indicated that there were no significant differences in lipid profile values between the three types of disease. Toxoplasma gondii had a role in changes lipid profile values in infected women which characterized by decrease in cholesterol and triglyceride and LDL with a significant increases in HDL level. Further studies needed to maintain the effect of duration of the toxoplasmosis (acute or chronic) on the changes in lipid profile

Generating of Chaotic Signals by using Semiconductor Laser with Optical Feedback

This paper addresses theoretically generating the chaotic signals by using semiconductor laser diode of 1550 nm with optical feedback. The performance of a semiconductor laser subjected to a delay optical feedback was investigated using rate equations that describe the temporal variation of photon density, carrier density, and the phase of the lasing field. The simulation results show how semiconductor lasers are sensitive to external optical perturbations and how rich chaotic signal with large information can be generated with controlled optical feedback

Study of microbial Activity of Some Arylorganomercury ( II ) Derivatives Containing Amino Group on Some Pathogenic Isolated Bacteria

Abstract :The aim of this study was to evaluate a microbial activity of the three organomercury compounds : 2-amino-5-methylphenyl mercury(II)chloride 1 , 2-amino-5-bromophenyl mercury(II)chloride 2 and 2-amino-5-nitrophenyl mercury(II)chloride 3 which were synthesized and characterized by various physical techniques . It have been reported to have antimicrobial activity against six various bacteria such as Gram positive bacteria ( Staphylococcus aureus and Bacillus subtilis ) and Gram negative bacteria ( Escherichia coli , Klebsiella spp. , Salmonella spp. and Pseudomonas spp. ) . The concentrations of above compounds 1 , 2 and 3 were ( 0.5 , 0.3 – 0.5 and 0.3 – 0.5 milligram / milliliter ) found to be more effective concentrations than others related with the inhibition zone respectively . The order of antimicrobial activity for the studied compounds were depending on the power of the drawing group with mercury moiety and amino group abreast in the aromatic skeleton – structure . So , the order is NO 2 ( 3 ) > Br ( 2 ) > CH 3 ( 1

Serum magnesium and visfatin levels in newly diagnosed non-obese type 2 diabetes without insulin resistance: a cross-sectional study

Background. Previous studies demonstrated that type 2 diabetes (T2D) patients have low serum magnesium and high serum levels of visfatin. This study aimed to show the relationship between serum levels of insulin, visfatin, and magnesium in T2D patients characterized by a non-insulin resistance status.Methods. This was a cross-sectional study conducted in the Hawler Medical University, Kurdistan Region, Iraq from April 2019 to March 2020. A total number of 130 T2D patients and 45 healthy subjects were enrolled in the study. T2D patients with scores of homeostasis model assessment — insulin resistance (HOMA-IR) of < 2.5 were included. Serum levels of magnesium, visfatin, and glycemic indices, including fasting serum glucose, insulin, visfatin, and glycated hemoglobin were determined.Results. The serum level of visfatin is significantly higher in T2D patients than the corresponding values of the healthy subjects. Serum magnesium level is significantly correlated with the percentage of the glycated hemoglobin (Spearman’s correlation factor = 0.184, P = 0.036), and a positive significant correlation between serum insulin and visfatin (r = 0.216, P = 0.014) was observed. Multivariate regression analysis of the association of fasting serum insulin as a dependent variable with serum magnesium and visfatin as independent variables showed a non-significant positive correlation (r = 0.197, P = 0.082).Conclusion. Significant low serum levels of magnesium and visfatin are observed in non-insulin resistant T2D patients with a HOMA-IR score of < 2.5. Serum visfatin and magnesium levels showed significant correlations with glycemic indices

Enhancement of corrosion protection of metal carbon steel C45 and stainless steel 316 by using inhibitor (Schiff base) in sea water

This research has presented a solution to the problem faced by alloys: the corrosion problem, by reducing corrosion and enhancing protection by using an inhibitor (Schiff base). The inhibitor (Schiff base) was synthesized by reacting of the substrates materials (4-dimethylaminobenzaldehyde and 4-aminoantipyrine). It was diagnosed by infrared technology IR, where the IR spectrum and through the visible beams proved that the Schiff base was well formed and with high purity. The corrosion behavior of carbon steel and stainless steel in a saline medium (artificial seawater 3.5%NaCl) before and after using the inhibitor at four temperatures: 20, 30, 40, and 50 C° was studied by using three electrodes potentiostat. The corrosion behavior was studied by cathode and anode polarization through which all corrosion parameters were investigated which include: corrosion current icorr (1341× 10-7-  5393 × 10-9A/cm2), corrosion potential Ecorr (-1.031-  -0.227 mV vs SCE) , corrosion rates CR (0.658-0.007 mm.y-1), inhibition efficiency %IE (92-98%), and energy activation barriers Ea (4.709-26.733 kJ/mole). The thermodynamic and kinetic properties of the corrosion behavior of these two metals under study, which include: enthalpy ∆H*(2.153-24.176 kJ/mole), entropy ∆S*(-197 -156 J/mole), and free Gibbs energy ∆G*(59.87-74.56 kJ/mole) before and after using the inhibitor, were also studied

Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage

Preterm birth, defined as a delivery before 37 weeks’ gestation, continues to affect 8–15% of all pregnancies and is associated with significant neonatal morbidity and mortality. Effective prediction of timing of delivery among women identified to be at significant risk for preterm birth would allow proper implementation of prophylactic therapeutic interventions. This paper aims first to develop a model that acts as a decision support system for pregnant women at high risk of delivering prematurely before having cervical cerclage. The model will predict whether the pregnancy will continue beyond 26 weeks’ gestation and the potential value of adding the cerclage in prolonging the pregnancy. The second aim is to develop a model that predicts the timing of spontaneous delivery in this high risk cohort after cerclage. The model will help treating physicians to define the chronology of management in relation to the risk of preterm birth, reducing the neonatal complications associated with it. Data from 274 pregnancies managed with cervical cerclage were included. 29 of the procedures involved multiple pregnancies. To build the first model, a data balancing technique called SMOTE was applied to overcome the problem of highly imbalanced class distribution in the dataset. After that, four classification models, namely Decision Tree, Random Forest, K-Nearest Neighbors (K-NN), and Neural Network (NN) were used to build the prediction model. The results showed that Random Forest classifier gave the best results in terms of G-mean and sensitivity with values of 0.96 and 1.00, respectively. These results were achieved at an oversampling ratio of 200%. For the second prediction model, five classification models were used to predict the time of spontaneous delivery; linear regression, Gaussian process, Random Forest, K-star, and LWL classifier. The Random Forest classifier performed best, with 0.752 correlation value. In conclusion, computational models can be developed to predict the need for cerclage and the gestation of delivery after this procedure. These models have moderate/high sensitivity for clinical application

Prospective multicentre study in intensive care units in five cities from the Kingdom of Saudi Arabia: Impact of the International Nosocomial Infection Control Consortium (INICC) multidimensional approach on rates of central line-associated bloodstream infection

OBJECTIVE: To analyse the impact of the International Nosocomial Infection Control Consortium (INICC) Multidimensional Approach (IMA) and INICC Surveillance Online System (ISOS) on central line-associated bloodstream infection (CLABSI) rates in five intensive care units (ICUs) from October 2013 to September 2015. DESIGN: Prospective, before-after surveillance study of 3769 patients hospitalised in four adult ICUs and one paediatric ICU in five hospitals in five cities. During baseline, we performed outcome and process surveillance of CLABSI applying CDC/NHSN definitions. During intervention, we implemented IMA and ISOS, which included: (1) a bundle of infection prevention practice interventions; (2) education; (3) outcome surveillance; (4) process surveillance; (5) feedback on CLABSI rates and consequences; and (6) performance feedback of process surveillance. Bivariate and multivariate regression analyses were performed. RESULTS: During baseline, 4468 central line (CL) days and 31 CLABSIs were recorded, accounting for 6.9 CLABSIs per 1000 CL-days. During intervention, 12,027 CL-days and 37 CLABSIs were recorded, accounting for 3.1 CLABSIs per 1000 CL-days. The CLABSI rate was reduced by 56% (incidence-density rate, 0.44; 95% confidence interval, 0.28–0.72; P = 0.001). CONCLUSIONS: Implementing IMA through ISOS was associated with a significant reduction in the CLABSI rate in the ICUs of Saudi Arabia

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