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Analytical overall performance of Warts E6/E7 mRNA assessment in the direction of HPV-DNA tests along with p16/Ki67 immunostaining as a biomarker of high-risk Warts repeat throughout Ancient greek females operatively treated for his or her cervical skin lesions.
Purpose To retrospectively assess the effectiveness and safety of customized hemostatic protocols using a plasma-derived, von Willebrand Factor (VWF)-containing Factor VIII concentrate (pdVWF/FVIII) in von Willebrand disease (VWD) patients undergoing dental invasive procedures. Methods Protocol for each patient was drawn up by the Blood Unit based on the VWD type, disease severity, and type of treatment. pdFVIII/VWF infusions and doses were registered at 30-60 min before intervention (t0) and at 12-24-36-48-72 h after intervention (t12-t72) and up to day 7. Any peri- or postoperative bleeding, complication or adverse event was registered. Results Forty-five dental procedures were performed on 20 VWD patients (six type-1, two type-2a, six type-2b, six type-3). Most pdFVIII/VWF infusions at t0 were 60 IU/kg (n = 7) and 50 IU/kg (n = 9). Subsequent infusions were mostly 30-50 IU/kg. No bleeding complications or adverse events were reported. Conclusion This study supports the safety and efficacy of pdFVIII/VWF to prevent peri- and postoperative bleeding after invasive oral procedures. click here © 2020 The Authors.Introduction The quantitation of glucose consumption in animal cell cultures is mainly based on the use of radiolabeled or fluorescent analogues, resulting in expensive and tedious procedures, requiring special equipment and, sometimes, with potential health and environmental risks. Objectives The objective of this work was to evaluate the application of a blood plasma colorimetric assay to quantify glucose consumption in in vitro cultures of adipose cells. Methods We worked with 3T3-L1 adipose cells differentiated by 7-8 days, which were exposed to different initial glucose concentrations (5.5, 2.8 and 1.4 mM) for variable times, either in the absence or the presence of 100 nM insulin. Using a commercial colorimetric glucose assay, extracellular glucose was determined, and glucose uptake was calculated as the difference between the initial and final glucose concentration. Results The colorimetric assay allowed us to quantify glucose uptake in our cell model, observing a linear response over time (r 2 ≥0.9303) to the different glucose concentrations, both in the basal and insulin-induced condition. The insulin-stimulated glucose consumption was higher than basal consumption at all glucose concentrations evaluated, but significant differences were observed at 120-, 360- and 480-min in glucose 5.5 mM (p ≤ 0.01, n = 5), and 240 min in glucose 1.4 mM (p ≤ 0.01, n = 5). A V max of 4.1 and 5.9 nmol/ml/min (basal and insulin-induced, respectively) and a K m of 1.1 mM (same in basal vs insulin-stimulated) were calculated. The bioassay was also useful in a pharmacological context in glucose 1.4 mM, glucose consumption showed an effect that depended on insulin concentration, with a calculated EC50 of 18.4 ± 1.1 nM. Conclusions A simple and low-cost bioassay is proposed to quantify glucose consumption in 3T3-L1 adipose cells. © 2020 The Authors.Antimicrobial effectiveness tests are common methods used to assess the risk of microbial contamination in pharmaceuticals and cosmetics. These assays may be inappropriate for endospore-based microbial products which often carry a similar - if not greater - risk of microbial contamination. In the present study, we compared the antimicrobial efficacy assessment provided by United States Pharmacopeia Chapter Antimicrobial Effectiveness Testing with a modified test which utilized a customized bacterial challenge. The customized challenge inoculum comprised an assemblage of 12 bacterial strains (both pathogens and spoilage organisms) isolated from the product's end-use geography. Results suggest that some microbial inhibitor systems which pass industry standard antimicrobial effectiveness tests may fail when challenged with a customized bacterial assemblage. In order to provide the best possible assessment of microbial inhibitor systems for liquid Bacillus products, we suggest that new antimicrobial effectiveness tests be developed for this product class which include the addition of field-relevant contaminants in addition to the industry standard pathogen challenge. © 2020 The Author(s).Cocoa production is a complex process where the conditions of the raw materials decisively impact the final quality of the product. Three universal clones (CCN51, ICS95, and TSH565) from the Department of Huila in Colombia were evaluated to characterize the ripening process of cocoa fruits. Maturity indicators were identified by following the evolution of basic fruit characteristics, including size, weight, seed count, depth and distance between grooves, width and length of the apex, diameter and length of the seed, moisture content, color parameters, fruit firmness, soluble solids content, pH, and acidity. The results indicated that each cocoa clone has a unique set of ripeness parameters color for ICS95; firmness and weight of the seed for CCN51; and color, morphological characteristics of the apex and grooves, weight, moisture content, pH, and total soluble solids for TSH565. The establishment of reliable, practical, and objective ripeness indicators for each cocoa clone will allow more homogenous cocoa pods to be selected for fermentation, which will ultimately contribute to improved quality and homogeneity of cocoa and its derived products. © 2020 CORPORACION COLOMBIANA DE INVESTIGACION AGROPECUARIA, AGROSAVIA.Background Lung cancer is one of the deadliest cancer in the world. Hundreds of researches are presented annually in the field of lung cancer treatment, diagnosis and early prediction. The current research focuses on the early prediction of lung cancer via analysis of the most dangerous risk factors. Methods A novel tool for the early prediction of lung cancer is designed following three stages the analysis of an international cancer database, the classification study of the results of local medical questionnaires and the international medical opinion obtained from recently published medical reports. Results The tool is tested using local medical cases and the local medical opinion(s) is (are) used to determine the accuracy of the scores obtained. The Machine Learning approaches are also used to analyze 1000 patient records from an international dataset to compare our results with the international ones. Conclusions The designed tool facilitates computing the risk factors for people who are unable to perform costly hospital tests.
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