BUSCADOR RECOLECTA

Regarding the cytokine profile produced during the proliferative response, the most interesting results indicated that both TLRnlig-Pp3 induced a decrease of IL-4 and IL-5 levels compared to Pp3 peptide (alone), being significant for IL-5 with TLR4lig-Pp3, and an increase of IFN being significant only for TLR7lig-Pp3 in allergic patients., Peer reviewed

There was a increase of IL-4 production and an decrease in the IFNγ level, Peer reviewed

Multi Target and View FEDER/CM-B2017/BMD-3688; MINECO/FEDER SAF2017-86107-R., zip file containing 6 folders Bioanalyzer folder; Figure 1 folder [Figure1_qPCR.xlsx; Figure1_ABR.xlsx; Figure1_ Amplitudes_SPSS.pdf; Figure1_Audiogram_SPSS.pdf; Figure1_ Latencies_SPSS.pdf; Figure1_MyeP0 IHQ base.txt; Figure1_MyeP0 IHQ middle.txt; Figure1_MyeP0 IHQ quantification.xlsx]; Figure 2 folder [Figure2_CtBP2GluR2/3_ whole mount_quantification.xlsx; Figure2_Hair cells counts whole mount_quantification.xlsx; Figure2_Neurofilament number of fibers_quantification; Figure2_Neurofilament Intensity OHC_quantification.xlsx]; Figure 3 folder [Figure3_Western Blot_quantification analysis.xlsx; Exp0_p22phox Mb2 20170608_1327 Prec8sectif_AllLanes.pdf; Exp0_PI3K Mb2 20170608_1500 Prec8sectif_AllLanes.pdf; Exp1_p22phox_Mb4_20180222_1340_Prec2sec_tapandotif_AllLanes.pdf; Exp1_PI3K_Mb4_20180216_1446_Prec4sectif_AllLanes.pdf; Figure3_3NT IHQ quantification intensity; Figure3_Cyt C Oxidase IHF quantification intensity.xlsx; Figure3_qPCR Source Data.xlsx]; Figure 4 folder [Figure4_Western Blot_quantification analysis.xlsx; Figure4_Western Blot_ImageQuant; Figure4_TUNEL+ whole mount_quantification.xlsx]; Figure 5 folder [Figure5_qPCR .xlsx; Figure5_IBA1 IHF quantification]., Peer reviewed

The database provides Physalia physalis abundance on the shores of the Mediterranean Sea. The dataset is provided as [space] delimitated plain text file within a compressed folder that also includes a single README file (in text format) containing a detailed description of the data structure. For more details, see the publication: Macias, D., Prieto, L., Garcia-Gorriz, E., 2021. A model-based management tool to predict the spread of Physalia physalis in the Mediterranean Sea. Minimizing risks for coastal activities. Oceanography and Coastal Management (accepted)., [General Notes] The data are provided under an Attribution-ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the above mentioned article where data collection and analytical techniques are given in detail. Here we only give a brief details and a guide to the contents of the data files. Data files are in UTF8 encoding, plain text format with space used as the delimiter. One column is written for each measured parameter. The order of each column is: Day, Month, Year, Number of colonies stranded, Latitude, Longitude and Julian Day. Missing data are filled with NaN., [Geographical coordinates of the sampling area] coordinates.txt provides the geographical coordinates of the sampling area. ST.ID represents the code (used to link to other data tables) for each site. long and lat are longitude and latitude, respectively., The dataset is subject to a Creative Commons License Attribution-ShareAlike 4.0 International., This data set includes data collected from ICMAN-CSIC (Spain) during three years of high abundance of these colonies in the Mediterranean basin: 2010, 2013 and 2018 that have been used to build a prognosis tool (model) for the Mediterranean Sea., This research was supported by the Project Agreement "Sistema de Observación y Predicción de Medusas en el Mar Balear” among Govern des Illes Balears, SOCIB and CSIC (Disposición 15052, BOE núm. 310, 2020)., Peer reviewed

Analysis of the direct effects of SGAs on adipose tissue metabolism and gene expression. The xls file shows the raw data of adipocyte glucose uptake lipolysis after short-term (30 min) and long term (24 and 72h) incubation of adipocytes and adipose tissuewith therapeutic and supra-therapeutic concentration of olanzapine (Ola) and Aripripazole (Ari)., Therapeutic concentrations of olanzapine and aripripazole have a moderate direct effect and adipocyte lipid and glucose metabolism, respectively. At supra-therapeutic concentrations, both of the antipsychotics seem to act as anti-inflammatory agents and mildly suppressed genes involved in the regulationof mitochondrial functions, which could potentially contribute to metabolic adverse effects. Alternatively, second generation antipsychotics could induce metabolic side effects via acting on other insulin-sensitive tissues and central nervous system., European Comission ITN Treatment H2020-MSCA-ITN-721236, Peer reviewed

Description: Data obtained by computing numerical simulations. RW results were performed by a self-made Python code. MAWMA results were performed by a self-made application of framework platform KRATOS (Dadvand et al. 2010) - Data in "LNs1_graph": Comparison of acccuracy performances between RW, MAWMA methods with 3 different Diffusion coefficients (0, 0.01 and 0.2). We compare 5 different statistical parameters: 1st moment, deviation , variance (Fig 4b), Global mixing (Fig 4c) and mean (Fig 4a) - Data in "MARKOV_MODELS": Comparing the Markov models using M_p matrices calculated at 3 different times of the RW model. Also the Markov models transforming M_p into M_c and M_w., Peer reviewed

Folder 1. Raw 13C NMR data for the liver glycogen samples. Folder names with CTL refer to mice fed standard chow, folder names with HS1 refer to mice given sugar supplements with U-13C-glucose and folder names with HS2 refer to mice given sugar enriched with U-13C-fructose. These data can be opened and processed by widely available NMR processing software such as ACD labs, Mestre Nova and NUTS. Folder 2. Spreadsheets for the NMR signal areas measured from the 13C NMR spectra and estimation of PPP fluxes from these signal areas, Hepatic PPP fluxes from both [U-13C] glucose and [U-13C]fructose precursors were assessed by 13C NMR analysis of glycogen 13C isotopomers Glucose-6-phosphate generated via glucokinase and the direct pathwayis preferentially utilized by PPP., European Commission ITN Treatment H2020-MSCA-ITN-721236, Peer reviewed

File 1. This xls files shows the data related to the main charateristics used for the development and validation of the new method as long as the measures for letting assure the repeatability and intermediate precision and accuracy values. The results obtained for the pharmacokinetic parameters are also included in the file File 2 This jpg file shows the product ion spectra and chemical structures of the antipsychotics and their metabolites obtained by collision-induced dissociation (CID) of the indicated precursor ions [M+H]+. The fragmentation patterns of all analytes are indicated by an arrow on their chemical structure of each analyte. The results are presented as the percentage of counts versus Mass-to-Charge (m/z). All mass peaks have been normalized to the most abundant, A simple and sensitive liquid chromatography-tandem mass spectrometry method was developed and validated in human plasma for the simultaneous determination of aripiprazole (ARI) and its metabolite dehydro-aripiprazole (DARI); olanzapine (OLA), risperidone (RIS), paliperidone (PAL), quetiapine (QUE), clozapine (CLO) and caffeine (CAF). CAF is included to the method because it can have an influence on drug metabolism due to competitive inhibition. The above mentioned compounds and their isotope-labeled internal standards were extracted from 200 µL human plasma samples by both, effective phospholipids-eliminating three-step microelution-solid-phase extraction (µ-SPE) and protein precipitation (PPT) for comparison. A combination of formic acid (0.2%)-acetonitrile (pH 3.0; 65:35, v/v) was used as mobile phase and the chromatogram was run under gradient conditions at a flow rate of 0.6 mL/min. Run time lasted 6 min, followed by a re-equilibration time of 3 min. All analytes were monitored by mass spectrometric detection operating in multiple reaction monitoring mode and the method was validated covering the corresponding therapeutic ranges: 0.18-120 ng/mL for ARI, 0.25-80 ng/mL for DARI, 1.00-100 ng/mL for OLA, 0.70-60 ng/mL for RIS, 0.20-30 ng/mL for PAL, 0.50-160 ng/mL for QUE, 0.50-1000 ng/mL for CLO, and finally 1200-3700 ng/mL for CAF. The method was validated based on the recommendations of regulatory agencies through tests of precision, accuracy, extraction recovery, identity confirmation, trueness, matrix effect, process efficiency, stability, selectivity, linearity and carry-over effect fulfilling the guideline requirements. Our µ-SPE method results in the elimination of more than 99% of early eluting and more than 92% of late-eluting phospholipids compared to PPT. Additionally, the method was successfully applied for quantifying ARI and OLA plasma concentrations from healthy volunteers., European Comission ITN Treatment H2020-MSCA-ITN-721236, Peer reviewed

File 1. Demographic characteristics of the volunteers from the aripiprazole study. File 2. Prolactin pharmacokinetic parameters after aripiprazole and ibuprofen administration. This xls file shows the modifications in the prolactin concentrations after the administration of aripiprazole or ibuprofen A It is been shown the prolactin concentrations versus time in women and men treated with aripiprazole compared to ibuprofen File 3 Genotype Matrix. The xls file show the detected genetic polymorphism associated with the effects of aripiprazole File 4 Aripiprazole and dehydro-aripiprazole pharmacokinetic parameters. File 5 The influence of polymorphisms on prolactin concentrations., Aripiprazole treatment in schizophrenic patients was previously associated with lower or normalized prolactin levels. Genetic variants in cytochrome P450 (CYP) (CYP2D6), dopamine receptor (DRD2, DRD3) and serotonin receptor (HTR2A, HTR2C) genes were previously associated with antipsychotic-induced hyperprolactinaemia. Our aim was to evaluate whether aripiprazole affects prolactin secretion and its relationship with pharmacogenetics. Thirty-one healthy volunteers receiving a 10-mg single oral dose of aripiprazole were genotyped for 12 polymorphisms in CYP2D6, DRD2, DRD3, HTR2A and HTR2C genes by qPCR. Aripiprazole and dehydro-aripiprazole plasma concentrations were measured by HPLC-MS/MS. Prolactin concentrations of the 31 volunteers taking aripiprazole and 12 volunteers receiving ibuprofen were determined by ELISA. Prolactin concentrations after ibuprofen intake were considered as control, since it is known to cause no effect. Prolactin concentrations were slightly higher in the aripiprazole group compared to the ibuprofen group. All prolactin pharmacokinetic parameters were higher in females than in males. CYP2D6 poor and intermediate metabolizers had notably higher prolactin Cmax and AUC0-12 than normal and ultrarapid metabolizers. The DRD3 rs6280 polymorphism affected prolactin levels: volunteers carrying Ser/Ser genotype had significantly lower prolactin levels than volunteers carrying the Gly allele. Furthermore, HTR2C rs3813929 C/C homozygotes had significantly lower prolactin levels than T allele carriers. Nevertheless, aripiprazole did increase prolactin levels compared to ibuprofen., European Comission ITN Treatment H2020-MSCA-ITN-721236, Peer reviewed

This dataset includes the input files of the numerical models used in this manuscript for simulating fractures as well as the executable file of the numerical code (CODE_BRIGHT). There are two main folders pertinent to equivalency of fracture thickness and sensitivity analysis to rock matrix permeability. Each folder contains the input files of the numerical models in subfolders whose names represent a short description of the corresponding model. “Equivalency” folder contains the benchmark model (with real fracture aperture, i.e., 10 μm) and three models with upscaled apertures (1 cm, 10 cm, and 1 m) using equivalent properties to obtain the same result. “Sensitivity analysis” folder includes models with 1 cm upscaled aperture for rock matrix permeability ranging from 10-18 to 10-24 m2. In each folder, there is a file with the name of the folder ended as “_gen.dat” which contains the input data of the model, including material properties, initial and boundary conditions and the time intervals. There is also a file ended as “_gri.dat” that includes the information on the mesh. The file “root.dat” includes the name of the model. To run the simulation, copy and paste Code_Bright executable file, i.e., “Cb_v9_3.exe”, in a folder that contains the input files and execute it., This dataset includes the input files of the numerical models used in this manuscript for simulating fractures as well as the executable file of the numerical code (CODE_BRIGHT)., Peer reviewed