The present pilot trial was carried out to evaluate the effects of an acute treatment with a mixture containing 500 million of Lactobacillus bulgaricus and Streptococcus thermophilus per day in ...patients with non alcoholic fatty liver disease (NAFLD).
A sample of 30 patients with NAFLD (diagnosed by liver biopsy) was enrolled and 28 patients were analyzed in a double blind randomized clinical trial. Patients were randomized to one of the following treatments during 3 months: group I, treated with one tablet per day with 500 million of Lactobacillus bulgaricus and Streptococcus thermophilus and group II, treated with one placebo tablet (120 mg of starch).
In group I, alanine amino transferase (ALT: 67.7 +/- 25.1 vs. 60.4 +/- 30.4 UI/L; p < 0.05), aspartate aminotransferase activity (AST: 41.3 +/- 15.5 vs. 35.6 +/- 10.4 UI/L; p < 0.05) and gammaglutamine transferase levels (gammaGT: 118.2 +/- 63.1 vs. 107.7 +/- 60.8 UI/L; p < 0.05) decreased. In group II, all liver function parameters remained unchanged (ALT: 60.7 +/- 32.1 vs. 64.8 +/- 35.5 UI/L; p < 0.05), aspartate aminotransferase activity (AST: 31.7 +/- 13.1 vs. 36.4 +/- 13.8 UI/L; ns) and gammaglutamine transferase levels (gammaGT: 82.1 +/- 55.1 vs. 83.6 +/- 65.3 UI/L; ns). Anthropometric parameters and cardiovascular risk factors remained unchanged after treatment in both groups.
A tablet of 500 million of Lactobacillus bulgaricus and Streptococcus thermophilus, with a randomized clinical design, improved liver aminotransferases levels in patients with NAFLD.
The field of ecological immunology currently relies on using a number of immune effectors or markers. These markers are usually used to infer ecological trade-offs (via conflicts in resource ...allocation), though physiological nature of these markers remains elusive. Here, we review markers frequently used in insect evolutionary ecology research: cuticle darkening, haemocyte density, nodule/capsule formation, phagocytosis and encapsulation/melanization via use of nylon filaments and beads, phenoloxidase activity, nitric oxide production, lysozyme and antimicrobial peptide production. We also provide physiologically based information that may shed light on the probable trade-offs inferred when these markers are used. In addition, we provide a number of methodological suggestions to improve immune marker assessment.
A priority of modern agriculture is to use novel and environmentally friendly plant-growth promoter compounds to increase crop yields and avoid the indiscriminate use of synthetic fertilizers. ...Brassinosteroids are directly involved in the growth and development of plants and are considered attractive candidates to solve this problem. Obtaining these metabolites from their natural sources is expensive and cumbersome since they occur in extremely low concentrations in plants. For this reason, much effort has been dedicated in the last decades to synthesize brassinosteroids analogs. In this manuscript, we present the synthesis and characterization of seven steroidal carbamates starting from stigmasterol, β-sitosterol, diosgenin and several oxygenated derivatives of it. The synthesis route for functionalization of diosgenin included epoxidation and epoxy opening reactions, reduction of carbonyl groups, selective oxidation of hydroxyl groups, among others. All the obtained compounds were characterized by
H and
C NMR, HRMS, and their melting points are also reported. Rice lamina inclination test performed at different concentrations established that all reported steroidal carbamates show plant-growth-promoting activity. A molecular docking study evaluated the affinity of the synthesized compounds towards the BRI1-BAK1 receptor from
and three of the docked compounds displayed a binding energy lower than brassinolide.
Abstract Objective To evaluate the utility of first-trimester placental volume and vascular flow indices to predict intrauterine growth retardation (IUGR). Study Design In 1004 singleton pregnancies ...attending routine care we recorded maternal characteristics, biophysical and biochemical factors included in the first trimester screening for aneuploidy (FTSA) and uterine artery pulsatility index (PI). Placental volume, Vascularization Index, Flow Index and Vascularization Flow Index were obtained. Customized curves were used to define IUGR. We compared pregnancies with and without IUGR. The performance of different predictive models was described by the areas under the receiver operator characteristic (AUROC) curve. Predictive models of IUGR were compared using a two by two approach and subset analysis was performed. Results Placental volume and all vascular indices were significantly lower (p < 0.001, p ≤ 0.01), and uterine artery PI higher (p < 0.001), in pregnancies with IUGR, with and without associated pre-eclampsia. Results obtained in the analysis of homogeneous subsets showed that the effectiveness of combined predictive models for IUGR improved significantly after adding vascular indices or placental volume to maternal characteristics, FTSA variables and uterine artery PI (AUROC curve value 0.703 (95% CI 0.663–0.744) versus 0.720 (95% CI 0.681–0.759) and 0.735 (95% CI 0.696–0.733), respectively). The most effective model at first trimester was that which included only maternal characteristics, uterine a-PI and placental volume, similar to that of the most complex model built with all the factors analyzed in this study (AUROC curve value 0.735 (95% CI 0.696–0.773). Conclusions Placental volume and vascular indices were predictors factors of IUGR at first trimester. The effectiveness of combined predictive models for IUGR increased significantly after adding these factors, but the sensitivity of these models was too low for them to be considered useful in clinical practice.
•Comparison of models with different mathematical approaches.•The prediction efficiency is not directly related to achieving the best fit.•Contrasting more than one predictive model to support ...decision-making.
This study was conducted to predict the number of COVID-19 cases, deaths and recoveries using reported data by the Algerian Ministry of health from February 25, 2020 to January 10, 2021. Four models were compared including Gompertz model, logistic model, Bertalanffy model and inverse artificial neural network (ANNi). Results showed that all the models showed a good fit between the predicted and the real data (R2 >0.97). In this study, we demonstrate that obtaining a good fit of real data is not directly related to a good prediction efficiency with future data. In predicting cases, the logistic model obtained the best precision with an error of 0.92% compared to the rest of the models studied. In deaths, the Gompertz model stood out with a minimum error of 1.14%. Finally, the ANNi model reached an error of 1.16% in the prediction of recovered cases in Algeria.
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The brucellae are facultative intracellular pathogens causing brucellosis, an important zoonosis. Here, we review the nutritional, genetic, proteomic and transcriptomic studies on Brucella carbon ...uptake and central metabolism, information that is needed for a better understanding of Brucella virulence. There is no uniform picture across species but the studies suggest primary and/or secondary transporters for unknown carbohydrates, lactate, glycerol phosphate, erythritol, xylose, ribose, glucose and glucose/galactose, and routes for their incorporation to central metabolism, including an erythritol pathway feeding the pentose phosphate cycle. Significantly, all brucellae lack phosphoenolpyruvate synthase and phosphofructokinase genes, which confirms previous evidence on glycolysis absence, but carry all Entner-Doudoroff (ED) pathway and Krebs cycle (and glyoxylate pathway) genes. However, glucose catabolism proceeds through the pentose phosphate cycle in the classical species, and the ED pathway operates in some rodent-associated brucellae, suggesting an ancestral character for this pathway in this group. Gluconeogenesis is functional but does not rely exclusively on classical fructose bisphosphatases. Evidence obtained using infection models is fragmentary but suggests the combined or sequential use of hexoses/pentoses, amino acids and gluconeogenic substrates. We also discuss the role of the phosphotransferase system, stringent reponse, quorum sensing, BvrR/S and sRNAs in metabolism control, an essential aspect of the life style of facultative intracellular parasites.
Tuberculosis (Tb) is a disease with worldwide presence and a major cause of death in several developing countries. Current diagnostic methodologies often lack specificity and sensitivity, whereas a ...long time is needed to obtain a conclusive result.
In an effort to develop better diagnostic methods, this study aimed at the discovery of a biomarker signature for Tb diagnosis using a Nuclear Magnetic Resonance based metabolomics approach. In this study, we acquired 1H NMR spectra of blood serum samples of groups of healthy subjects, individuals with latent Tb and of patients with pulmonary and extra-pulmonary Tb. The resulting data were treated with uni- and multivariate statistical analysis.
Six metabolites (inosine, hypoxanthine, mannose, asparagine, aspartate and glutamate) were validated by an independent cohort, all of them related with metabolic processes described as associated with TB infection. The findings of the study are according with the WHO Target Product Profile recommendations for a triage test to rule-out active TB.
Drosophila melanogaster has colonized temperate habitats on multiple continents over a historical time period, and many traits vary predictably with latitude. Despite considerable attention paid to ...clinal variation in Drosophila, the mechanisms generating such patterns in nature remain largely unidentified. In D. melanogaster, the expression of reproductive diapause can be induced by exposure to low temperatures and shortened photoperiods. Both diapause expression itself and the underlying genetic variance for diapause expression have widespread impacts on organismal fitness, and diapause incidence exhibits a 60% cline in frequency in the eastern United States. The major aim of this study was to evaluate whether the relative fitness of diapause and nondiapause genotypes varies predictably with environment. In experimental population cages in the laboratory, the frequency of genotypes that express diapause increased over time when flies were exposed to environmental stress, whereas the frequency of nondiapause genotypes increased when flies were cultured under benign control conditions. Other fitness traits correlated with the genetic variance for diapause expression (longevity, mortality rates, stress resistance, lipid content, preadult viability, fecundity profiles, and development time) also diverged between experimental treatments. Similarly, sampling of isofemale lines from natural populations revealed that the frequency of diapause incidence cycled over time in seasonal habitats: diapause expression was at high frequency following the winter season and subsequently declined throughout the summer months. In contrast, diapause expression was low and temporally homogeneous in isofemale line collections from human-associated urban habitats. These data suggest that genetic variation underlying the diapause-nondiapause dichotomy may be actively maintained by selection pressures that vary spatially and temporally in natural populations.
•ANN was used for hydrocarbons breakthrough curves in separation of linear and branched paraffins.•Concentration at t time over initial concentration was simulated as output variable.•ANN was ...successfully trained with experimental database and validated with another database.•ANN enables the implementation of sensors for on-line quality determination C/Co in the process.•Density and octane number were the most influential parameters in adsorption system.
An artificial neural network (ANN) approach was used to develop a new predictive model for the calculation of hydrocarbons breakthrough curves in separation of linear and branched paraffins by adsorption process. Three-layer ANN architecture was trained using an experimental database and the concentration at t time over initial concentration (C/Co) was calculated as output variable. Experimental temperature (T), times of adsorption (t), octane number (ON) and the density (ρ) of the hydrocarbons were considered as main input variables for the model. For the ANN optimization process, the Levenberg–Marquardt (LM) learning algorithm, the hyperbolic tangent sigmoid transfer-function and the linear transfer-function were applied. The best fitting training data set was acquired with an ANN architecture composed by 22 neurons in the hidden layer (4-22-1), which made possible to predict the C/Co with a satisfactory efficiency (R2>0.96). A suitable accuracy of the ANN model was achieved with a mean percentage error (MPE) of ∼5%. All the C/Co predicted with the ANN model were statistically analyzed and compared with the “true” C/Co experimental data reported in the experiments carried out in the lab. With all these results, we suggest that the ANN model could be used as a tool for the reliable prediction of the breakthrough curves obtained during the separation of linear and branched paraffins by adsorption processes.
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