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    MEASURING PLASMA FERRITIN LEVELS WITH TWO DIFFERENT METHODS: A COMPARISON OF ROCHE COBAS E601 VERSUS ROCHE COBAS C501 (INTEGRATED MODULAR SYSTEM ROCHE COBAS 6000)

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    Background: The aim of our study is to compare plasma ferritin levels found to be high or low in terms of reference range by means of electrochemiluminescence (ECLIA) and immunoturbidimetric method and to examine whether they can be used interchangeably. Methods: 84 patients with high plasma ferritin level and 153 patients with low ferritin level according to the reference range were included in the study. Plasma samples measured in Cobas e601 device with ECLIA were also measured as immunoturbidimetric Cobas c501 device. For method comparison, CLSI EP-A3 Guideline was used. While the consistency between the methods were specified with Passing-Bablok regression analysis and Spearman correlation analysis, bias error between the methods (bias\%) was determined through Bland-Altman analysis. Results: Both high and low plasma ferritin levels measured with Cobas e601 module and determined high in terms of reference range were compared with the results found with cobas c501 module. The difference was found to be statistically significant (p<0.001). According to regression and correlation (for low plasma ferritin levels; r: 0.993, p<0.001, for high plasma ferritin levels; r: 0.966, p<0.001) results, the methods were in consistency with each other. Additionally, while the bias\% value was found to be 10.4\% for low plasma ferritin levels, it was found to be 12.6\% for high ferritin levels. Conclusions: Accordingly, we believe that, comparison with more samples especially in terms of different clinical decision levels is required in order to examine interchangeable use of immunoturbidimetric method in integrated devices and ECLIA

    Synthesis, Spectroscopic Characterizations of Novel Norcantharimides, Their ADME Properties and Docking Studies Against COVID-19 M-pr degrees

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    A series of novel Norcantharimide derivatives were synthesized and their structures were characterized by FTIR, H-1 and C-13 NMR spectroscopy as well as elemental analyses. The absorption, distribution, metabolism and excretion (ADME) properties of the synthesized molecules were investigated. The results obtained in silico demonstrated that these molecules can be considered as orally active drug candidates due to their physicochemical properties. Also, docking studies demonstrated that all derivatives exhibit a good theoretical affinity with MolDock Score in between 124-138 against the main protease of Coronavirus Disease 2019 (COVID-19 M-pr degrees) that caused worldwide epidemics. We believe that newly synthesized norcantharimide derivatives can guide many future studies in organic synthesis, medicine and pharmaceutical applications

    Exploiting implicit social relationships via dimension reduction to improve recommendation system performance

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    The development of Web 2.0 and the rapid growth of available data have led to the development of systems, such as recommendation systems (RSs), that can handle the information overload. However, RS performance is severely limited by sparsity and cold-start problems. Thus, this paper aims to alleviate these problems. To realize this objective, a new model is proposed by integrating three sources of information: a user-item matrix, explicit and implicit relationships. The core strategy of this study is to use the multi-step resource allocation (MSRA) method to identify hidden relations in social information. First, explicit social information is used to compute the similarity between each pair of users. Second, for each nonfriend pair of users, the MSRA method is applied to determine the probability of their relation. If the probability exceeds a threshold, a new relationship will be established. Then, all sources are incorporated into the Singular Value Decomposition (SVD) method to compute the missing prediction values. Furthermore, the stochastic gradient descent technique is applied to optimize the training process. Additionally, two real datasets, namely, Last.Fm and Ciao, are utilized to evaluate the proposed method. In terms of accuracy, the experiment results demonstrate that the proposed method outperforms eight state-of-the-art approaches: Heats, PMF, SVD, SR, EISR-JC, EISR-CN, EISR-PA and EISR-RAI

    Potential Antioxidant and Enzyme Inhibitory Effects of Nanoliposomal Formulation Prepared from Salvia aramiensis Rech. f. Extract

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    Salvia aramiensis Rech. f. is a species that grows only in Hatay, Turkey and is used as a traditional stomachic tea. Neither the chemical composition nor the potential bioactivity of the plant has been investigated before. Antioxidant activity (1,1-Diphenyl-2-picrylhydrazyl Radical (DPPHBLACK CIRCLE) and 2,2'-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid (ABTS(+BLACK CIRCLE)) radical scavenging and beta-carotene/linoleic acid co-oxidation) of 70\% methanol, 70\% ethanol extracts, and 2\% infusion obtained from S. aramiensis aerial parts were determined. The effect of 70\% methanol extract on collagenase and elastase enzyme inhibition and its chemical composition via chromatographic methods (LC-MS/MS and HPLC) were analyzed. Nanoliposomes were developed with 70\% methanol extract, were characterized, and were evaluated. The key parameters for the most active 70\% methanol extract included the following (DPPHEC50)-E-center dot: 28.4 mu g/mL, Trolox equivalent antioxidant capacity (TEAC)/ABTS: 1.77 +/- 0.09 mmol/L/Trolox. Furthermore 70\% methanol extract showed more than 50\% inhibition on collagenase and elastase enzymes at all the concentrations. The main component of the extract, rich in phenolic compounds, has been identified as rosmarinic acid; 83.7 mu g/mL extract was released from the nanoliposomal formulation. The extract and its formulation are found to be nontoxic on the L929 fibroblast cell line. This study successfully developed a long-term antioxidant and enzyme inhibitory formulation containing S. aramiensis, which has been used safely among the public for years

    Structural Characteristics in the gamma Chain Variants Associated with Fibrinogen Storage Disease Suggest the Underlying Pathogenic Mechanism

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    Particular fibrinogen gamma chain mutations occurring in the gamma-module induce changes that hamper gamma-gamma dimerization and provoke intracellular aggregation of the mutant fibrinogen, defective export and plasma deficiency. The hepatic storage predisposes to the development of liver disease. This condition has been termed hereditary hypofibrinogenemia with hepatic storage (HHHS). So far, seven of such mutations in the fibrinogen gamma chain have been detected. We are reporting on an additional mutation occurring in a 3.5-year-old Turkish child undergoing a needle liver biopsy because of the concomitance of transaminase elevation of unknown origin and low plasma fibrinogen level. The liver biopsy showed an intra-hepatocytic storage of fibrinogen. The molecular analysis of the three fibrinogen genes revealed a mutation (Fibrinogen Trabzon Thr371Ile) at exon 9 of the gamma chain in the child and his father, while the mother and the brother were normal. Fibrinogen Trabzon represents a new fibrinogen gamma chain mutation fulfilling the criteria for HHHS. Its occurrence in a Turkish child confirms that HHHS can present in early childhood and provides relevant epidemiological information on the worldwide distribution of the fibrinogen gamma chain mutations causing this disease. By analyzing fibrinogen crystal structures and calculating the folding free energy change (Delta Delta G) to infer how the variants can affect the conformation and function, we propose a mechanism for the intracellular aggregation of Fibrinogen Trabzon and other gamma-module mutations causing HHHS

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