Search results for "NETWORK"

showing 10 items of 7718 documents

Urinary- and Plasma-Derived Exosomes Reveal a Distinct MicroRNA Signature Associated With Albuminuria in Hypertension.

2021

Urinary albumin excretion (UAE) is a marker of cardiovascular risk and renal damage in hypertension. MicroRNAs (miRNAs) packaged into exosomes function as paracrine effectors in cell communication and the kidney is not exempt. This study aimed to state an exosomal miRNA profile/signature associated to hypertension with increased UAE and the impact of profibrotic TGF-β1 (transforming growth factor β1) on exosomes miRNA release. Therefore, exosomes samples from patients with hypertension with/without UAE were isolated and characterized. Three individual and unique small RNA libraries from each subject were prepared (total plasma, urinary, and plasma-derived exosomes) for next-generation sequ…

0301 basic medicineMaleDown-Regulation030204 cardiovascular system & hematologyExosomesTransforming Growth Factor beta103 medical and health sciencesParacrine signalling0302 clinical medicinemicroRNAInternal MedicinemedicineAlbuminuriaHumansGene Regulatory NetworksKEGGCells CulturedAgedKidneybusiness.industryPodocytesReverse Transcriptase Polymerase Chain ReactionGene Expression ProfilingMiddle AgedMicrovesiclesMicroRNAs030104 developmental biologyReal-time polymerase chain reactionmedicine.anatomical_structureHypertensionAlbuminuriaCancer researchFemalemedicine.symptombusinessTransforming growth factorHypertension (Dallas, Tex. : 1979)
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The Potential Role of Direct and Indirect Contacts on Infection Spread in Dairy Farm Networks.

2017

Animals’ exchanges are considered the most effective route of between-farm infectious disease transmission. However, despite being often overlooked, the infection spread due to contaminated equipment, vehicles, or personnel proved to be important for several livestock epidemics. This study investigated the role of indirect contacts in a potential infection spread in the dairy farm network of the Province of Parma (Northern Italy). We built between-farm contact networks using data on cattle exchange (direct contacts), and on-farm visits by veterinarians (indirect contacts). We compared the features of the contact structures by using measures on static and temporal networks. We assessed the d…

0301 basic medicineMaleEpidemiologyanimal diseasesNetwork structureParatuberculosisAnimal DiseasesDisease Outbreaks0403 veterinary scienceDisease spreadingRisk FactorsParatuberculosisMedicine and Health Scienceslcsh:QH301-705.5MammalsDisease surveillanceEcologyInfectious disease transmissionIncidenceAgriculture04 agricultural and veterinary sciencesRuminantsProfessionsDairyingGeographyInfectious DiseasesComputational Theory and MathematicsVeterinary DiseasesItalyModeling and SimulationVertebratesLivestockFemaleResearch ArticleFarmsLivestock040301 veterinary sciencesContaminated equipmentCattle DiseasesCommunicable DiseasesInfectious Disease EpidemiologyVeterinariansVeterinary Epidemiology03 medical and health sciencesCellular and Molecular NeuroscienceBovinesEnvironmental healthGeneticsmedicineAnimalsComputer SimulationMolecular BiologyEcology Evolution Behavior and SystematicsModels Statisticalbusiness.industryOrganismsBiology and Life Sciencesmedicine.diseaseNorthern italy030104 developmental biologylcsh:Biology (General)AmniotesPeople and PlacesVeterinary ScienceCattlePopulation GroupingsContact TracingbusinessZoologyPLoS Computational Biology
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Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders

2018

International audience; C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 1…

0301 basic medicineMaleNetherlands Twin Register (NTR)Bipolar DisorderLD SCORE REGRESSION[SDV]Life Sciences [q-bio]Genome-wide association study[SDV.GEN] Life Sciences [q-bio]/GeneticsBody Mass Indexinflammatory disorder80 and overWIDE ASSOCIATIONEPIDEMIOLOGYta318International HapMap ProjectChildGenetics (clinical)2. Zero hungerGeneticsGenetics & HeredityAged 80 and over[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyC-reactive proteingenome-wide association studyinflammationMendelian randomizationinflammatory disordersDEPICTcoronary artery diseaseschizophreniasystem biologysystem biologyDEPICTMendelian Randomization Analysis11 Medical And Health SciencesMiddle AgedC-reactive protein; coronary artery disease; DEPICT; genome-wide association study; inflammation; inflammatory disorders; Mendelian randomization; schizophrenia; system biology; Adolescent; Adult; Aged; Aged 80 and over; Biomarkers; Bipolar Disorder; Body Mass Index; C-Reactive Protein; Child; Female; Genetic Loci; Genome-Wide Association Study; Humans; Inflammation; Liver; Male; Mendelian Randomization Analysis; Metabolic Networks and Pathways; Middle Aged; Schizophrenia; Young Adult3. Good health[SDV] Life Sciences [q-bio]LiverMedical geneticsBiomarker (medicine)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleinflammatory disordersLife Sciences & BiomedicineMetabolic Networks and Pathwayscoronary artery diseaseHumanAdultmedicine.medical_specialtyAdolescentCHARGE Inflammation Working GroupC-reactive protein ; DEPICT ; Mendelian randomization ; coronary artery disease ; genome-wide association study ; inflammation ; inflammatory disorders ; schizophrenia ; system biologyBiologyIMMUNITYta3111ArticleC-reactive protein03 medical and health sciencesYoung AdultSDG 3 - Good Health and Well-beingMendelian randomizationGeneticsmedicine/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_Mendelian randomizationHumansCORONARY-HEART-DISEASEMendelian Randomization Analysi1000 Genomes ProjectMETAANALYSISGenetic associationAged[SDV.GEN]Life Sciences [q-bio]/GeneticsScience & Technologygenome-wide association studyta1184Metabolic Networks and PathwayBiomarkerINSTRUMENTS06 Biological SciencesMendelian Randomization Analysisschizophrenia030104 developmental biologyGenetic LociinflammationC-reactive protein; DEPICT; Mendelian randomization; coronary artery disease; genome-wide association study; inflammation; inflammatory disorders; schizophrenia; system biology[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyBiomarkersLifeLines Cohort Study
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GLRB allelic variation associated with agoraphobic cognitions, increased startle response and fear network activation: a potential neurogenetic pathw…

2017

Contains fulltext : 177350.pdf (Publisher’s version ) (Closed access) The molecular genetics of panic disorder (PD) with and without agoraphobia (AG) are still largely unknown and progress is hampered by small sample sizes. We therefore performed a genome-wide association study with a dimensional, PD/AG-related anxiety phenotype based on the Agoraphobia Cognition Questionnaire (ACQ) in a sample of 1370 healthy German volunteers of the CRC TRR58 MEGA study wave 1. A genome-wide significant association was found between ACQ and single non-coding nucleotide variants of the GLRB gene (rs78726293, P=3.3 x 10-8; rs191260602, P=3.9 x 10-8). We followed up on this finding in a larger dimensional AC…

0301 basic medicineMaleStartle responseReflex StartleQH301 BiologyGenome-wide association studyGene mutationAnxiety0302 clinical medicineCognitionReceptors GlycineGene FrequencyGermanyGWASHyperekplexiaGeneticsPanic disordermedicine.diagnostic_testStartleBrainFearGLRBAnxiety DisordersPsychiatry and Mental healthSchizophreniaUrological cancers Radboud Institute for Health Sciences [Radboudumc 15]Panic DisorderFemalemedicine.symptomPsychologyBDCRC0321 Neuroscience. Biological psychiatry. NeuropsychiatryClinical psychologyAdultGenotypeNDASQH426 Genetics03 medical and health sciencesCellular and Molecular NeuroscienceQH301Fear networkSpastic mousemedicineHumansGenetic Predisposition to DiseaseMolecular BiologyQH426AgoraphobiaAllelesNeurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]Panic disorderOther Research Radboud Institute for Health Sciences [Radboudumc 0]medicine.diseaseStartle reaction030104 developmental biologyMCPCase-Control StudiesMutationRC0321030217 neurology & neurosurgeryAgoraphobiaGenome-Wide Association StudyMolecular psychiatry
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Vitellogenin-like A–associated shifts in social cue responsiveness regulate behavioral task specialization in an ant

2018

Division of labor and task specialization explain the success of human and insect societies. Social insect colonies are characterized by division of labor, with workers specializing in brood care early and foraging later in life. Theory posits that this task switching requires shifts in responsiveness to task-related cues, yet experimental evidence is weak. Here, we show that a Vitellogenin (Vg) ortholog identified in an RNAseq study on the ant T. longispinosus is involved in this process: using phylogenetic analyses of Vg and Vg-like genes, we firstly show that this candidate gene does not cluster with the intensively studied honey bee Vg but falls into a separate Vg-like A cluster. Second…

0301 basic medicineMaleTask switchingAgingFat BodySocial SciencesGene ExpressionGenes InsectBiochemistryFatsVitellogeninsSociologyGene Regulatory NetworksForagingBiology (General)reproductive and urinary physiologyPhylogenyAnimal BehaviorBehavior AnimalGeneral NeuroscienceEukaryotaBeesLipidsANTInsectsAnimal SocialityGene Knockdown TechniquesMultigene FamilySocial SystemsInsect ProteinsFemaleCuesGeneral Agricultural and Biological SciencesHoney BeesDivision of labourResearch ArticleArthropodaQH301-705.5ForagingBiologyModels BiologicalGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesSpecies Specificityddc:570Specialization (functional)GeneticsAnimalsSocial BehaviorBehaviorGeneral Immunology and MicrobiologyAntsfungiOrganismsBiology and Life SciencesHoney beeSocial cueInvertebratesHymenopteraBrood030104 developmental biologyEvolutionary biologyZoologyPLoS Biology
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PDXK mutations cause polyneuropathy responsive to pyridoxal 5′‐phosphate supplementation

2019

OBJECTIVE: To identify disease-causing variants in autosomal recessive axonal polyneuropathy with optic atrophy and provide targeted replacement therapy. METHODS: We performed genome-wide sequencing, homozygosity mapping, and segregation analysis for novel disease-causing gene discovery. We used circular dichroism to show secondary structure changes and isothermal titration calorimetry to investigate the impact of variants on adenosine triphosphate (ATP) binding. Pathogenicity was further supported by enzymatic assays and mass spectroscopy on recombinant protein, patient-derived fibroblasts, plasma, and erythrocytes. Response to supplementation was measured with clinical validated rating sc…

0301 basic medicineMale[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/NeurobiologyLOCAL TRANSLATIONMedizinmedicine.disease_causeDISEASEchemistry.chemical_compound0302 clinical medicinepolineuropathyCinètica enzimàticaGene Regulatory NetworksPyridoxal phosphateChildPyridoxal KinaseAdenosine triphosphate (ATP)Research ArticlesAged 80 and overMutationGene Regulatory NetworkPLASMAAutosomal recessive axonal polyneuropathyDisease gene identificationPyridoxal kinase3. Good healthSettore MED/26 - NEUROLOGIANeuropaties perifèriquesTreatment OutcomePolyneuropathieNeurologyChild PreschoolPyridoxal PhosphateRELIABILITYVitamin B ComplexFemaleLife Sciences & BiomedicinePolyneuropathyHumanResearch ArticleAdultAdolescentPDXKClinical NeurologyCHARCOT-MARIE-TOOTHCHARCOT-MARIE-TOOTH CMT NEUROPATHY SCORE LOCAL TRANSLATION DISEASE RELIABILITY; MECHANISMS DISCOVERY FRAMEWORK KINASE PLASMAMECHANISMS03 medical and health sciencesPolyneuropathiesAtrophy[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]KINASEmedicineHumansCMT NEUROPATHY SCOREPDXK mutationsPyridoxalDietary SupplementAgedPeripheral neuropathiesScience & Technology[SCCO.NEUR]Cognitive science/NeuroscienceEnzyme kineticsNeurosciencesFRAMEWORKmedicine.diseaseMolecular biology030104 developmental biologychemistryDISCOVERYDietary SupplementsMutationNeurosciences & NeurologyNeurology (clinical)Adenosine triphosphate030217 neurology & neurosurgeryAnnals of Neurology
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Evaluation of HIV transmission clusters among natives and foreigners living in Italy

2020

We aimed at evaluating the characteristics of HIV-1 molecular transmission clusters (MTCs) among natives and migrants living in Italy, diagnosed between 1998 and 2018. Phylogenetic analyses were performed on HIV-1 polymerase (pol) sequences to characterise subtypes and identify MTCs, divided into small (SMTCs, 2&ndash

0301 basic medicineMalelcsh:QR1-502SubtypeHIV InfectionsmigrantsBioinformatics; Cluster detection; Drug resistance testing; Human immunodeficiency virus (HIV); Migrants; Molecular epidemiology; Phylogenetic analysis; Risk factors; Subtypes; Transmission networks and clusters; Adult; Cohort Studies; Female; Genotype; HIV Infections; HIV-1; Humans; Italy; Male; Middle Aged; Sexual and Gender Minorities; pol Gene Products Human Immunodeficiency Virus; Emigrants and Immigrants; Phylogenylcsh:MicrobiologyMen who have sex with menCohort StudiesSexual and Gender Minorities0302 clinical medicineGenotypehuman immunodeficiency virus (HIV); molecular epidemiology; phylogenetic analysis; migrants; cluster detection; transmission networks and clusters; subtypes; drug resistance testing; risk factors; bioinformaticsMedicinerisk factors030212 general & internal medicinepol Gene ProductsHiv transmissionPhylogenySubtypesPhylogenetic analysisTransmission (medicine)subtypesvirus diseasesHuman immunodeficiency virus (HIV)bioinformaticsMiddle AgedTransmission networks and clustersCluster detectionInfectious DiseasesItalyMolecular epidemiologyCohortFemaleHuman Immunodeficiency VirusCohort studyAdultmedicine.medical_specialtyGenotypeBioinformaticsEmigrants and ImmigrantsMigrantsArticleNO03 medical and health sciencesPhylogenetic analysiVirologyHumansBioinformaticMolecular epidemiologybusiness.industryPublic healthphylogenetic analysisMigrantDrug resistance testingSettore MED/17030104 developmental biologyRisk factorspol Gene Products Human Immunodeficiency Virustransmission networks and clustersTransmission networks and clusters.HIV-1Risk factorbusinessDemography
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miRNAs and sports: tracking training status and potentially confounding diagnoses.

2016

Background The dependency of miRNA abundance from physiological processes such as exercises remains partially understood. We set out to analyze the effect of physical exercises on miRNA profiles in blood and plasma of endurance and strength athletes in a systematic manner and correlated differentially abundant miRNAs in athletes to disease miRNAs biomarkers towards a better understanding of how physical exercise may confound disease diagnosis by miRNAs. Methods We profiled blood and plasma of 29 athletes before and after exercise. With four samples analyzed for each individual we analyzed 116 full miRNomes. The study set-up enabled paired analyses of individuals. Affected miRNAs were invest…

0301 basic medicineMalemedicine.medical_specialtyConfounding Factors (Epidemiology)610Physical exerciseDiseaseBioinformatics796 Athletic and outdoor sports and gamesGeneral Biochemistry Genetics and Molecular Biology79603 medical and health sciences610 Medical sciences MedicinemedicineCluster AnalysisHumansGene Regulatory NetworksMyocardial infarctionExercise physiologyExerciseMedicine(all)Principal Component AnalysisbiologyAthletesbusiness.industryBiochemistry Genetics and Molecular Biology(all)ResearchGene Expression ProfilingConfoundingConfounding Factors EpidemiologicResistance TrainingGeneral Medicinemedicine.diseasebiology.organism_classificationGene expression profilingMicroRNAs030104 developmental biologyPhysical therapyErratumbusinessSportsJournal of translational medicine
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2019

Using the English Wikipedia network of more than 5 million articles we analyze interactions and interlinks between the 34 largest pharmaceutical companies, 195 world countries, 47 rare renal diseases and 37 types of cancer. The recently developed algorithm using a reduced Google matrix (REGOMAX) allows us to take account both of direct Markov transitions between these articles and also of indirect transitions generated by the pathways between them via the global Wikipedia network. This approach therefore provides a compact description of interactions between these articles that allows us to determine the friendship networks between them, as well as the PageRank sensitivity of countries to p…

0301 basic medicineMarket capitalizationMultidisciplinaryGoogle matrixbusiness.industrymedia_common.quotation_subject01 natural sciencesData sciencelaw.invention03 medical and health sciencesFriendship030104 developmental biologyPageRanklaw0103 physical sciencesThe InternetBusiness010306 general physicsNetwork analysismedia_commonPLOS ONE
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Search for a Minimal Set of Parameters by Assessing the Total Optimization Potential for a Dynamic Model of a Biochemical Network.

2017

Selecting an efficient small set of adjustable parameters to improve metabolic features of an organism is important for a reduction of implementation costs and risks of unpredicted side effects. In practice, to avoid the analysis of a huge combinatorial space for the possible sets of adjustable parameters, experience-, and intuition-based subsets of parameters are often chosen, possibly leaving some interesting counter-intuitive combinations of parameters unrevealed. The combinatorial scan of possible adjustable parameter combinations at the model optimization level is possible; however, the number of analyzed combinations is still limited. The total optimization potential (TOP) approach is…

0301 basic medicineMathematical optimizationLinear programmingApplied Mathematics0206 medical engineeringComputational Biology02 engineering and technologySaccharomyces cerevisiaeModels BiologicalSmall setBiochemical networkEnzymes03 medical and health sciences030104 developmental biologyFermentationGeneticsComputer SimulationMETABOLIC FEATURESGlycolysis020602 bioinformaticsMetabolic Networks and PathwaysBiotechnologyMathematicsIntuitionIEEE/ACM transactions on computational biology and bioinformatics
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