0000000000651470

AUTHOR

Gary P. Kobinger

showing 2 related works from this author

COVID-19 disease - Temporal analyses of complete blood count parameters over course of illness, and relationship to patient demographics and manageme…

2020

Background Detailed temporal analyses of complete (full) blood count (CBC) parameters, their evolution and relationship to patient age, gender, co-morbidities and management outcomes in survivors and non-survivors with COVID-19 disease, could identify prognostic clinical biomarkers. Methods From 29 January 2020 until 28 March 2020, we performed a longitudinal cohort study of COVID-19 inpatients at the Italian National Institute for Infectious Diseases, Rome, Italy. 9 CBC parameters were studied as continuous variables [neutrophils, lymphocytes, monocytes, platelets, mean platelet volume, red blood cell count, haemoglobin concentration, mean red blood cell volume and red blood cell distribu…

Erythrocyte IndicesMaleViral DiseasesNeutrophilsPhysiologyclinical biomarkersRomeDisease030204 cardiovascular system & hematologyCardiovascular MedicineCohort StudiesLeukocyte CountWhite Blood Cells0302 clinical medicineMedical ConditionsAnimal CellsMedicine and Health SciencesRenal Failure030212 general & internal medicineLongitudinal StudiesLymphocytesSurvivorsCOPDMultidisciplinarymedicine.diagnostic_testQRComplete blood countMiddle AgedPrognosisBody FluidsInfectious DiseasesBloodSettore MED/38 - PEDIATRIA GENERALE E SPECIALISTICAPhysiological Parameterscovid-19; blood cell count; clinical biomarkerscovid-19Cardiovascular DiseasesNephrologyMedicineFemaleCellular TypesAnatomyMean Platelet VolumeCohort studyResearch ArticlePlateletsmedicine.medical_specialtyScienceImmune CellsImmunologyCardiology03 medical and health sciencesInternal medicinemedicineHumansObesityMean platelet volumeDemographyInflammationBlood Cellsbusiness.industryBody WeightBiology and Life SciencesRed blood cell distribution widthCovid 19Cell Biologymedicine.diseaseObesityBlood CountsAnisocytosisblood cell countbusinessBiomarkers
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COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection

2020

AbstractBackgroundEpidemiological, virological and pathogenetic characteristics of SARS-CoV-2 infection are under evaluation. A better understanding of the pathophysiology associated with COVID-19 is crucial to improve treatment modalities and to develop effective prevention strategies. Transcriptomic and proteomic data on the host response against SARS-CoV-2 still have anecdotic character; currently available data from other coronavirus infections are therefore a key source of information.MethodsWe investigated selected molecular aspects of three human coronavirus (HCoV) infections, namely SARS-CoV, MERS-CoV and HCoV-229E, through a network based-approach. A functional analysis of HCoV-hos…

0301 basic medicineChemokinevirusesPneumonia ViralGene regulatory networklcsh:MedicineComputational biologyVirus-host interactomemedicine.disease_causeModels BiologicalInteractomeGeneral Biochemistry Genetics and Molecular BiologyTranscriptomePathogenesis03 medical and health sciencesBetacoronavirus0302 clinical medicineViral Envelope ProteinsProtein Interaction MappingmedicineCoronavirus infectionHumansGene Regulatory NetworksPandemicsGeneCoronavirusVirus–host interactomeMembrane GlycoproteinsInnate immune systembiologySARS-CoV-2Researchlcsh:RCOVID-19virus diseasesGeneral Medicinebiochemical phenomena metabolism and nutritionVirus–host interactome ; COVID-19 ; Coronavirus infection ; Spike glycoproteinPhenotyperespiratory tract diseasescoronavirus infection; spike glycoprotein; virus-host interactome030104 developmental biologySettore MED/38 - PEDIATRIA GENERALE E SPECIALISTICA030220 oncology & carcinogenesisHost-Pathogen Interactionsbiology.proteinSpike glycoproteinCoronavirus InfectionsSignal TransductionJournal of Translational Medicine
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