Search results for "PIDE"

showing 10 items of 6055 documents

Why are viral genomes so fragile? The bottleneck hypothesis

2021

If they undergo new mutations at each replication cycle, why are RNA viral genomes so fragile, with most mutations being either strongly deleterious or lethal? Here we provide theoretical and numerical evidence for the hypothesis that genetic fragility is partly an evolutionary response to the multiple population bottlenecks experienced by viral populations at various stages of their life cycles. Modelling within-host viral populations as multi-type branching processes, we show that mutational fragility lowers the rate at which Muller’s ratchet clicks and increases the survival probability through multiple bottlenecks. In the context of a susceptible-exposed-infectious-recovered epidemiolog…

Evolutionary GeneticsRNA virusesMutation rateEpidemiologyExtinct GenomesMedicine and Health SciencesBiology (General)Genetics0303 health sciencesEvolutionary epidemiologyEcologyMicrobial MutationGenomicsDeletion MutationComputational Theory and MathematicsViral genomesGenetic EpidemiologyModeling and SimulationViral evolutionPopulation bottlenecksVirusesRNA ViralResearch ArticleQH301-705.5Genomics[SDV.CAN]Life Sciences [q-bio]/CancerContext (language use)Genome ViralBiologyMicrobiologyGenomic InstabilityViral EvolutionBottleneckEvolution Molecular03 medical and health sciencesCellular and Molecular NeuroscienceSurvival probabilityVirologyGeneticsFragilityMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biologyEvolutionary BiologyModels Genetic030306 microbiologyOrganismsComputational BiologyBiology and Life SciencesRNAVirus evolutionOrganismal EvolutionGenetic architecture[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Population bottleneckViral replicationMutationMicrobial Evolution
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The Influence of Microbiome Dysbiosis and Bacterial Biofilms on Epidermal Barrier Function in Atopic Dermatitis—An Update

2021

Atopic dermatitis (AD) is a common inflammatory dermatosis affecting up to 30% of children and 10% of adults worldwide. AD is primarily driven by an epidermal barrier defect which triggers immune dysregulation within the skin. According to recent research such phenomena are closely related to the microbial dysbiosis of the skin. There is growing evidence that cutaneous microbiota and bacterial biofilms negatively affect skin barrier function, contributing to the onset and exacerbation of AD. This review summarizes the latest data on the mechanisms leading to microbiome dysbiosis and biofilm formation in AD, and the influence of these phenomena on skin barrier function.

ExacerbationQH301-705.5microbiomeReviewmedicine.disease_causeCatalysisDermatitis AtopicInorganic ChemistryAnimalsHumansMedicineskin barrierMicrobiomeBiology (General)Physical and Theoretical ChemistryQD1-999Molecular BiologySpectroscopySkinstaphylococciEpidermal barrierBacteriaatopic dermatitisintegumentary systembusiness.industryMicrobiotaOrganic ChemistryBiofilmGeneral MedicineAtopic dermatitisImmune dysregulationmedicine.diseaseComputer Science ApplicationsChemistryImmunologyDysbiosisEpidermisbiofilmsbusinessDysbiosisFunction (biology)International Journal of Molecular Sciences
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The Exosomes-derived EGFR Ligand Amphiregulin (AREG) is a new key player in Multiple Myeloma Bone Destruction

Il Mieloma Multiplo (MM) è caratterizzato dalla presenza di aree osteolitiche dovute alla presenza di plasmacellule (PC) neoplastiche che causano l'interruzione della normale omeostasi ossea, promuovendo l'attività degli osteoclasti (OC) ed inibendo la funzione degli (OB). Al momento, uno dei campi di ricerca nella fisiopatologia del MM è proprio lo studio dei meccanismi che regolano l’attività degli OC e degli OB così come l’identificazione di target terapeutici per la prevenzione ed il trattamento delle lesioni osteolitiche. Negli ultimi anni è emerso che le vescicole extracellulari (EV), ed in particolare gli esosomi, giocano un ruolo fondamentale nel mediare il cross-talk tra le cellule…

ExosomeEpidermal growth factor receptorMultiple myelomaSettore BIO/13 - Biologia ApplicataBone diseaseInterleukin 8AmphiregulinSettore MED/15 - Malattie Del Sangue
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Heart healthy cities : Genetics loads the gun but the environment pulls the trigger

2021

Abstract The world’s population is estimated to reach 10 billion by 2050 and 75% of this population will live in cities. Two-third of the European population already live in urban areas and this proportion continues to grow. Between 60% and 80% of the global energy use is consumed by urban areas, with 70% of the greenhouse gas emissions produced within urban areas. The World Health Organization states that city planning is now recognized as a critical part of a comprehensive solution to tackle adverse health outcomes. In the present review, we address non-communicable diseases with a focus on cardiovascular disease and the urbanization process in relation to environmental risk exposures inc…

Exposomemedicine.medical_specialtyHot Temperatureheart healthy cityPopulationair pollutionnoise pollution030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineUrban planningUrbanizationHumansState of the Art ReviewMedicineAcademicSubjects/MED00200030212 general & internal medicineCitiesCity PlanningUrban heat islandeducationEnvironmental planningenvironmental stressorseducation.field_of_studyurban and transport planning and design interventionsbusiness.industryPublic healthlight pollutionUrban HealthEpidemiology and PreventionEnvironmental ExposureEnvironmental exposureEditor's ChoiceSustainabilityheat islands effectsCardiology and Cardiovascular Medicinebusiness
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A systematic review on external ear melanoma

2014

Summary Background External ear melanoma accounts for only 1% of all cutaneous melanomas, and data on its optimal management and prognosis are limited. Aim We aim to review the literature on external ear melanoma to guide surgeons in the treatment of this uncommon and peculiar pathology. Materials and methods A systematic review of English language studies on ear melanoma published from 1993 to 2013 was performed using the PubMed electronic database. Data on epidemiology, oncological treatment (tumor resection and regional lymph nodes management), and reconstruction were extrapolated from selected papers. Results The total number of patients was 858 (30 studies). The helix was the most comm…

External earmedicine.medical_specialtySkin NeoplasmsPrognosiSentinel lymph nodeSettore MED/19 - Chirurgia PlasticaSurgical FlapsBreslow ThicknessEpidemiologyBiopsymedicineHumansReconstructive Surgical ProcedureSkin NeoplasmStage (cooking)Ear ExternalMelanomaEar NeoplasmsNeoplasm Stagingmedicine.diagnostic_testbusiness.industrySentinel Lymph Node BiopsyMelanomaLymphatic MetastasiPlastic Surgery Proceduresmedicine.diseasePrognosisOptimal managementSuperficial spreading melanomaSurgeryEar NeoplasmSurgical FlapLymphatic MetastasisSurgeryNeoplasm Recurrence LocalbusinessEar melanomaMelanoma treatmentHuman
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ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

2022

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing como…

EğitimSocial Sciences and HumanitiesInformation Security and ReliabilitySocial Sciences (SOC)Sosyal Bilimler ve Beşeri BilimlerEpidemiologyEDUCATION & EDUCATIONAL RESEARCHTemel Bilimler (SCI)BİLGİSAYAR BİLİMİ BİLGİ SİSTEMLERİMATHEMATICSSociology[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesProspective StudiesCOMPUTER SCIENCE INFORMATION SYSTEMSSTATISTICS & PROBABILITYMatematikBilgisayar Bilimi UygulamalarıComputer SciencesBilgi Güvenliği ve GüvenilirliğiEĞİTİM VE EĞİTİM ARAŞTIRMASIBİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİBilgi sistemiComputer Science ApplicationsKütüphane ve Bilgi BilimleriHospitalizationNatural Sciences (SCI)Physical SciencesEngineering and TechnologySosyal Bilimler (SOC)Bilgisayar BilimiStatistics Probability and UncertaintyInformation SystemsHumanStatistics and ProbabilityHumans; Pandemics; Prospective Studies; SARS-CoV-2; COVID-19; HospitalizationSOCIAL SCIENCES GENERALLibrary and Information SciencesEducationSDG 3 - Good Health and Well-beingLibrary SciencesINFORMATION SCIENCE & LIBRARY SCIENCEİstatistik ve OlasılıkHumansSosyal ve Beşeri BilimlerBilgisayar BilimleriSocial Sciences & HumanitiesEngineering Computing & Technology (ENG)SosyolojiPandemicsPandemicSARS-CoV-2İSTATİSTİK & OLASILIKCOVID-19Mühendislik Bilişim ve Teknoloji (ENG)İstatistik Olasılık ve BelirsizlikSosyal Bilimler GenelCOMPUTER SCIENCEProspective StudieFizik BilimleriViral infectionMühendislik ve TeknolojiKütüphanecilik
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FEBBRE TIFOIDE

2013

FEBBRE TIFOIDE EPIDEMIOLOGIA STRATEGIE VACCINALISettore MED/42 - Igiene Generale E Applicata
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Automatic image-based identification and biomass estimation of invertebrates

2020

1. Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming sorting and expert-based identification of taxa pose strong limitations on how many insect samples can be processed. In turn, this affects the scale of efforts to map and monitor invertebrate diversity altogether. Given recent advances in computer vision, we propose to enhance the standard human expert-based identification approach involving manual sorting and identification with an automatic image-based technology. 2. We describe a robot-enabled image-based ident…

FOS: Computer and information sciences0106 biological sciencesclassification (action)Computer Science - Machine Learninghahmontunnistus (tietotekniikka)Computer scienceImage qualityComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognitionclassificationsmodelling (creation related to information)neuroverkot01 natural sciencesConvolutional neural networkcomputer visionMachine Learning (cs.LG)remote sensingAbundance (ecology)Statistics - Machine Learningkonenäköinsectstunnistaminenbiodiversitysystematiikka (biologia)Ecological ModelingSortingselkärangattomatneural networksmuutosjohtaminenautomated pattern recognitionIdentification (information)machine learningkoneoppiminenclassificationEcosystem managementhämähäkitrecognitionmallintaminenneural networks (information technology)Machine Learning (stat.ML)010603 evolutionary biologyspidersidentifiointilajitsystematicsluokituksetEcology Evolution Behavior and Systematicsluokitus (toiminta)tarkkuusbusiness.industry010604 marine biology & hydrobiologyDeep learningPattern recognitiontypes and speciesidentification (recognition)15. Life on land113 Computer and information sciencesecosystems (ecology)invertebratesbiodiversiteettiekosysteemit (ekologia)hyönteisetidentificationprecisionkaukokartoitusArtificial intelligencechange management (leadership)businessScale (map)
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Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks

2020

We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By using a mean-field approach, we derive an analytical estimate of the epidemic threshold for SIS and SIR epidemic models for a general adaptive strategy, which strongly depends on the correlations between activity and attractiveness in the susceptible and infected states. We focus on strong social distancing, implementing two types of quarantine inspired by recent real case studies: an active quarantine, in which the population compensates the loss of links rewiring the ineffective connections towards non-quarantining …

FOS: Computer and information sciences2019-20 coronavirus outbreakAdaptive strategiesPhysics - Physics and SocietyComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PopulationFOS: Physical sciencesPhysics and Society (physics.soc-ph)Computer securitycomputer.software_genre01 natural sciences010305 fluids & plasmaslaw.inventionlawActive phase0103 physical sciencesQuarantinesusceptible-infected-recovered (SIR)010306 general physicseducationCondensed Matter - Statistical MechanicsAdaptive behaviorSocial and Information Networks (cs.SI)education.field_of_studyStatistical Mechanics (cond-mat.stat-mech)Computer Science - Social and Information Networksepidemic modelsusceptible-infected-susceptible (SIS)Epidemic modelcomputer
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Do-search -- a tool for causal inference and study design with multiple data sources

2020

Epidemiologic evidence is based on multiple data sources including clinical trials, cohort studies, surveys, registries, and expert opinions. Merging information from different sources opens up new possibilities for the estimation of causal effects. We show how causal effects can be identified and estimated by combining experiments and observations in real and realistic scenarios. As a new tool, we present do-search, a recently developed algorithmic approach that can determine the identifiability of a causal effect. The approach is based on do-calculus, and it can utilize data with nontrivial missing data and selection bias mechanisms. When the effect is identifiable, do-search outputs an i…

FOS: Computer and information sciencesEpidemiologyComputer sciencemedia_common.quotation_subjectInformation Storage and RetrievalMachine learningcomputer.software_genre01 natural sciencesStatistics - ApplicationsMethodology (stat.ME)010104 statistics & probability03 medical and health sciences0302 clinical medicineHumansApplications (stat.AP)030212 general & internal medicine0101 mathematicsSalt intakeStatistics - Methodologymedia_commonSelection biasbusiness.industryNutrition SurveysMissing dataCausalityCausalityResearch DesignCausal inferenceMeta-analysisSurvey data collectionIdentifiabilityArtificial intelligencebusinesscomputer
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