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showing 10 items of 19256 documents

An RNA toolbox for cancer immunotherapy.

2018

Cancer immunotherapy has revolutionized oncology practice. However, current protein and cell therapy tools used in cancer immunotherapy are far from perfect, and there is room for improvement regarding their efficacy and safety. RNA-based structures have diverse functions, ranging from gene expression and gene regulation to pro-inflammatory effects and the ability to specifically bind different molecules. These functions make them versatile tools that may advance cancer vaccines and immunomodulation, surpassing existing approaches. These technologies should not be considered as competitors of current immunotherapies but as partners in synergistic combinations and as a clear opportunity to r…

0301 basic medicineSequence analysismedicine.medical_treatmentComputational biologyBiologyCancer VaccinesCell therapyImmunomodulation03 medical and health sciencesImmune systemCancer immunotherapyNeoplasmsDrug DiscoveryGene expressionmedicineAnimalsHumansPharmacologyRegulation of gene expressionRNACancerGeneral Medicinemedicine.disease030104 developmental biologyRNARNA InterferenceImmunotherapyNature reviews. Drug discovery
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Snapshots of a shrinking partner: Genome reduction inSerratia symbiotica

2016

AbstractGenome reduction is pervasive among maternally-inherited endosymbiotic organisms, from bacteriocyte- to gut-associated ones. This genome erosion is a step-wise process in which once free-living organisms evolve to become obligate associates, thereby losing non-essential or redundant genes/functions. Serratia symbiotica (Gammaproteobacteria), a secondary endosymbiont present in many aphids (Hemiptera: Aphididae), displays various characteristics that make it a good model organism for studying genome reduction. While some strains are of facultative nature, others have established co-obligate associations with their respective aphid host and its primary endosymbiont (Buchnera). Further…

0301 basic medicineSerratiaRNA Stability030106 microbiologyved/biology.organism_classification_rank.speciesGenomicsGenomeArticle03 medical and health sciencesRNA TransferGammaproteobacteriaCluster AnalysisAmino AcidsModel organismGene030304 developmental biologyGene RearrangementGenetics0303 health sciencesMultidisciplinarybiologyObligate030306 microbiologyved/biologyBacteriocyteGene rearrangementGene Expression Regulation Bacterialbiochemical phenomena metabolism and nutritionbiology.organism_classificationBiosynthetic PathwaysRNA Bacterial030104 developmental biologyEvolutionary biologyGenes BacterialBuchneraGenome Bacterial
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Antimicrobial and Antibiofilm Activity of a Recombinant Fragment of β-Thymosin of Sea Urchin Paracentrotus lividus

2018

With the aim to obtain new antimicrobials against important pathogens such as Staphylococcus aureus and Pseudomonas aeruginosa, we focused on antimicrobial peptides (AMPs) from Echinoderms. An example of such peptides is Paracentrin 1 (SP1), a chemically synthesised peptide fragment of a sea urchin thymosin. In the present paper, we report on the biological activity of a Paracentrin 1 derivative obtained by recombination. The recombinant paracentrin RP1, in comparison to the synthetic SP1, is 22 amino acids longer and it was considerably more active against the planktonic forms of S. aureus ATCC 25923 and P. aeruginosa ATCC 15442 at concentrations of 50 &micro

0301 basic medicineSettore BIO/05 - ZoologiaPharmaceutical Science<i>Staphylococcus aureus</i>Peptide<i>Paracentrotus lividus</i>Settore BIO/19 - Microbiologia Generalemedicine.disease_causebiofilmDrug DiscoveryPharmacology Toxicology and Pharmaceutics (miscellaneous)lcsh:QH301-705.5chemistry.chemical_classificationbiologyMicrobial Sensitivity TestChemistrymolecular dynamicBiological activityRecombinant ProteinAntimicrobialRecombinant ProteinsAnti-Bacterial AgentsBiochemistrySettore CHIM/03 - Chimica Generale E InorganicaStaphylococcus aureusPeptidePseudomonas aeruginosaStaphylococcus aureuParacentrotusAntibacterial activityAMP (antimicrobial peptides)Staphylococcus aureusSea UrchinAntimicrobial peptidesMicrobial Sensitivity TestsParacentrotus lividusArticle03 medical and health sciencesAnti-Bacterial AgentmedicineAnimalsAMP (antimicrobial peptides); Paracentrotus lividus; Pseudomonas aeruginosa; Staphylococcus aureus; biofilm; molecular dynamics; thymosinAnimalBiofilmthymosinbiology.organism_classificationmolecular dynamics<i>Pseudomonas aeruginosa</i>030104 developmental biologylcsh:Biology (General)Paracentrotus lividusBiofilmsSea UrchinsParacentrotuPeptidesParacentrotus lividuMarine Drugs
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Uhlmann number in translational invariant systems

2019

We define the Uhlmann number as an extension of the Chern number, and we use this quantity to describe the topology of 2D translational invariant Fermionic systems at finite temperature. We consider two paradigmatic systems and we study the changes in their topology through the Uhlmann number. Through the linear response theory we linked two geometrical quantities of the system, the mean Uhlmann curvature and the Uhlmann number, to directly measurable physical quantities, i.e. the dynamical susceptibility and to the dynamical conductivity, respectively.

0301 basic medicineSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciMathematics::Analysis of PDEsFOS: Physical scienceslcsh:MedicineCurvatureArticleCondensed Matter - Strongly Correlated Electrons03 medical and health sciences0302 clinical medicineTopological insulatorsInvariant (mathematics)lcsh:ScienceCondensed Matter - Statistical MechanicsMathematicsMathematical physicsPhysical quantityQuantum PhysicsMultidisciplinaryChern classStatistical Mechanics (cond-mat.stat-mech)Strongly Correlated Electrons (cond-mat.str-el)lcsh:RUhlmann number Chern number 2D topological Fermionic systems finite temperature dynamical susceptibility dynamical conductivity030104 developmental biologylcsh:QQuantum Physics (quant-ph)Theoretical physicsLinear response theory030217 neurology & neurosurgeryScientific Reports
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Discovering discriminative graph patterns from gene expression data

2016

We consider the problem of mining gene expression data in order to single out interesting features characterizing healthy/unhealthy samples of an input dataset. We present an approach based on a network model of the input gene expression data, where there is a labelled graph for each sample. To the best of our knowledge, this is the first attempt to build a different graph for each sample and, then, to have a database of graphs for representing a sample set. Our main goal is that of singling out interesting differences between healthy and unhealthy samples, through the extraction of "discriminative patterns" among graphs belonging to the two different sample sets. Differently from the other…

0301 basic medicineSettore INF/01 - Informaticabusiness.industryComputer science0206 medical engineeringpattern discovery subgraph extraction biological networksPattern recognition02 engineering and technologyGraph03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyDiscriminative modelGraph patternsArtificial intelligencebusiness020602 bioinformaticsBiological networkNetwork modelProceedings of the 31st Annual ACM Symposium on Applied Computing
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Early warning climate indices for malaria and meningitis in tropical ecological zones

2020

AbstractThis study aims at assessing the impacts of climate indices on the spatiotemporal distribution of malaria and meningitis in Nigeria. The primary focus of the research is to develop an Early Warning System (EWS) for assessing climate variability implications on malaria and meningitis spread in the study area. Both climate and health data were used in the study to determine the relationship between climate variability and the occurrence of malaria and meningitis. The assessment was based on variations in different ecological zones in Nigeria. Two specific sample locations were randomly selected in each ecological zone for the analysis. The climatic data used in this study are dekadal …

0301 basic medicineSettore MED/17 - Malattie InfettiveClimate Changelcsh:MedicineClimate changeNigeriaDiseasesRainforestArticle03 medical and health sciences0302 clinical medicineTropical climateparasitic diseasesclimate change malaria meningitis NigeriamedicinePrevalenceHumansMeningitisPrecipitationlcsh:ScienceWeatherEcosystemTropical ClimateMultidisciplinaryEcologylcsh:RTropicsmedicine.diseaseMalaria030104 developmental biologyGeographyLinear ModelsEarly warning systemlcsh:QSeasonsMeningitis030217 neurology & neurosurgeryMalariaClimate sciences
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Antibodies Responses to SARS-CoV-2 in a Large Cohort of Vaccinated Subjects and Seropositive Patients

2021

COVID-19 is a current global threat, and the characterization of antibody response is vitally important to update vaccine development and strategies. In this study we assessed SARS-CoV-2 antibody concentrations in SARS-CoV-2 positive patients (N = 272) and subjects vaccinated with the BNT162b2 m-RNA COVID-19 vaccine (N = 1256). For each participant, socio-demographic data, COVID-19 vaccination records, serological analyses, and SARS-CoV-2 infection status were collected. IgG antibodies against S1/S2 antigens of SARS-CoV-2 were detected. Almost all vaccinated subjects (99.8%) showed a seropositivity to anti-SARS-COV-2 IgG and more than 80% of vaccinated subjects had IgG concentrations &gt

0301 basic medicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)virusesImmunologyArticleSerologyPersistence (computer science)03 medical and health sciences0302 clinical medicineAntigenDrug DiscoveryMedicinePharmacology (medical)030212 general & internal medicineskin and connective tissue diseasesPharmacologyantibody concentrations.biologybusiness.industryImmunogenicitySARS-CoV-2 infectionfungiRantibody concentrationsrespiratory tract diseasesVaccinationbody regions030104 developmental biologyInfectious DiseasesImmunizationImmunologybiology.proteinMedicineAntibodybusinessCOVID-19 vaccineVaccines
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Trichomonicidal and parasite membrane damaging activity of bidesmosic saponins from Manilkara rufula.

2017

The infection caused by Trichomonas vaginalis is the most common but overlooked non-viral sexually transmitted disease worldwide. Treatment relies on one class of drugs, the 5-nitroimidazoles, but resistance is widespread. New drugs are urgently needed. We reported the effect of crude and purified saponin fractions of Manilkara rufula against Trichomonas vaginalis. The compound responsible for antitrichomonal activity was isolated and identified as an uncommon bidesmosic saponin, Mi-saponin C. This saponin eliminated parasite viability without toxicity against the human vaginal epithelial line (HMVII). In addition, the isolated saponin fraction improved the metronidazole effect against a me…

0301 basic medicineSexually transmitted diseaseNeutrophilsCell MembranesSaponinlcsh:Medicinemedicine.disease_causePathology and Laboratory MedicineBiochemistryMass SpectrometryAnalytical ChemistryWhite Blood CellsOxidative DamageSpectrum Analysis TechniquesAnimal CellsMedicine and Health SciencesParasite hostingElectron Microscopylcsh:Sciencechemistry.chemical_classificationSexually transmitted diseasesTrichomonas VaginalisMicroscopyMultidisciplinaryEukaryotaProtistsMatrix-Assisted Laser Desorption Ionization Mass Spectrometrymusculoskeletal systemChemistryFlagellaToxicityPhysical SciencesVaginaTrichomonasFemaleCellular TypesCellular Structures and OrganellesPathogensMalalties de transmissió sexualIntracellularmedicine.drugResearch ArticlePathogen MotilityEfecte dels medicaments sobre els microorganismesVirulence FactorsImmune CellsImmunologyBiologyResearch and Analysis Methodscomplex mixturesMicrobiologyCell Line03 medical and health sciencesParasite Groupsparasitic diseasesmedicineTrichomonas vaginalisSaponinasHumansTrophozoitesResistència als medicamentsManilkaraBlood CellsCell Membranelcsh:ROrganismsBiology and Life SciencesCell BiologyIntracellular MembranesSaponinsbiology.organism_classificationCell membranescarbohydrates (lipids)MetronidazoleMicroscopy Electron030104 developmental biologychemistryManilkara rufulaDrug resistanceEffect of drugs on microorganismsTrichomonas vaginalisParasitologyTransmission Electron Microscopylcsh:QReactive Oxygen SpeciesApicomplexaMembranes cel·lularsChromatography LiquidPRODUTOS NATURAISPLoS ONE
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Microorganism adhesion using silicon dioxide: An experimental study

2020

In this study, spectrophotometry was used to measure changes in the absorbance properties of yeast, Gram-positive, and Gram-negative bacteria after their attachment to silicon dioxide microparticles (silica). The goal of this study was to determine whether spectrophotometry is an effective method to distinguish these microorganisms from one another and determine whether they have an affinity for silicon dioxide. The experiments were performed by examining the light absorption properties of yeast, Gram-positive and Gram-negative bacteria in a spectrophotometer, both with and without silicon dioxide microparticles. The experiments produced a number of promising results. First, the spectrophot…

0301 basic medicineSilicon dioxideMicroorganismMicroorganismsMicrobiologyBiochemistryArticleClinical researchAbsorbance03 medical and health scienceschemistry.chemical_compound0302 clinical medicineSpectrophotometrySilicon dioxidemedicinelcsh:Social sciences (General)Bacterial typeslcsh:Science (General)Infectious diseaseMultidisciplinaryChromatographyBacteriamedicine.diagnostic_testbiologyChemistryNear-infrared spectroscopyLaboratory medicinebiology.organism_classificationYeastYeast030104 developmental biologySpectrophotometrylcsh:H1-99030217 neurology & neurosurgeryBacterialcsh:Q1-390Heliyon
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Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning.

2021

Coronavirus disease 2019 (COVID-19) is a major threat worldwide due to its fast spreading. As yet, there are no established drugs available. Speeding up drug discovery is urgently required. We applied a workflow of combined in silico methods (virtual drug screening, molecular docking and supervised machine learning algorithms) to identify novel drug candidates against COVID-19. We constructed chemical libraries consisting of FDA-approved drugs for drug repositioning and of natural compound datasets from literature mining and the ZINC database to select compounds interacting with SARS-CoV-2 target proteins (spike protein, nucleocapsid protein, and 2′-o-ribose methyltransferase). Supported by…

0301 basic medicineSimeprevirArtificial intelligencevirusesMERS Middle East Respiratory SyndromeHealth InformaticsBiologyMachine learningcomputer.software_genremedicine.disease_causeAntiviral AgentsArticleWHO World Health OrganizationAUC area under the curve03 medical and health sciences0302 clinical medicinessRNA single-stranded RNA virusmedicineChemotherapyHumansSARS severe acute respiratory syndromeCOVID-19 coronavirus disease 2019CoronavirusNatural productsVirtual screeningACE2 angiotensin converting enzyme 2Drug discoverybusiness.industrySARS-CoV-2COVID-19LBE lowest binding energyFDA Food and Drug AdministrationROC receiver operating characteristicComputer Science ApplicationsHIV human immunodeficiency virusMolecular Docking SimulationDrug repositioning030104 developmental biologyDrug developmentSevere acute respiratory syndrome-related coronavirusParitaprevirInfectious diseasesRespiratory virusArtificial intelligenceSupervised Machine Learningbusinesscomputer030217 neurology & neurosurgeryComputers in biology and medicine
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