Search results for "Chara"

showing 10 items of 3040 documents

The Antisense RNA Approach: a New Application for In Vivo Investigation of the Stress Response of Oenococcus oeni, a Wine-Associated Lactic Acid Bact…

2015

ABSTRACT Oenococcus oeni is a wine-associated lactic acid bacterium mostly responsible for malolactic fermentation in wine. In wine, O. oeni grows in an environment hostile to bacterial growth (low pH, low temperature, and ethanol) that induces stress response mechanisms. To survive, O. oeni is known to set up transitional stress response mechanisms through the synthesis of heat stress proteins (HSPs) encoded by the hsp genes, notably a unique small HSP named Lo18. Despite the availability of the genome sequence, characterization of O. oeni genes is limited, and little is known about the in vivo role of Lo18. Due to the lack of genetic tools for O. oeni , an efficient expression vector in O…

0301 basic medicine[SDV.BIO]Life Sciences [q-bio]/Biotechnology[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition030106 microbiologyLactobacillus-plantarumWineEscherichia-coliApplied Microbiology and Biotechnologymolecular characterization03 medical and health sciencesGrowth-phaseBacterial ProteinsMembrane stabilizationHeat shock protein[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Antisense TechnologyGene expression[SDV.IDA]Life Sciences [q-bio]/Food engineeringMalolactic fermentationEnvironmental MicrobiologyRNA AntisenseGene-expressionLactic AcidHeat-Shock ProteinsOenococcusOenococcus oeniLeuconostoc-oenosEcologybiologyEthanolLactococcus lactisMalolactic fermentation[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyGene Expression Regulation Bacterialbiology.organism_classification[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyAntisense RNABiochemistryLactococcus-lactisHeat-shock-proteinFermentationOenococcusFood ScienceBiotechnology
researchProduct

Holistic Optimization of Bioinformatic Analysis Pipeline for Detection and Quantification of 2′-O-Methylations in RNA by RiboMethSeq

2020

International audience; A major trend in the epitranscriptomics field over the last 5 years has been the high-throughput analysis of RNA modifications by a combination of specific chemical treatment(s), followed by library preparation and deep sequencing. Multiple protocols have been described for several important RNA modifications, such as 5-methylcytosine (m5C), pseudouridine (ψ), 1-methyladenosine (m1A), and 2'-O-methylation (Nm). One commonly used method is the alkaline cleavage-based RiboMethSeq protocol, where positions of reads' 5'-ends are used to distinguish nucleotides protected by ribose methylation. This method was successfully applied to detect and quantify Nm residues in vari…

0301 basic medicinebioinformatic pipelinelcsh:QH426-470Computer scienceComputational biologyDeep sequencingPseudouridine03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]ribose methylationEpitranscriptomicsGeneticsGenetics (clinical)receiver operating characteristic2'-O-methylation2′-O-methylationhigh-throughput sequencingRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyBrief Research Reportlcsh:Genetics030104 developmental biologychemistry030220 oncology & carcinogenesisTransfer RNARNAMolecular MedicineSmall nuclear RNAReference genomeFrontiers in Genetics
researchProduct

Unveiling Sex-Based Differences in the Effects of Alcohol Abuse: A Comprehensive Functional Meta-Analysis of Transcriptomic Studies

2020

AbstractThe abuse of alcohol, one of the most popular psychoactive substances, can cause several pathological and psychological consequences, including alcohol use disorder (AUD). An impaired ability to stop or control alcohol intake despite adverse health or social consequences characterize AUD. While AUDs predominantly occur in men, growing evidence suggests the existence of distinct cognitive and biological consequences of alcohol dependence in women. The molecular and physiological mechanisms participating in these differential effects remain unknown. Transcriptomic technology permits the detection of the biological mechanisms responsible for such sex-based differences, which supports t…

0301 basic medicinelcsh:QH426-470Alcohol DrinkingAlcohol abuseAlcohol use disorderBioinformaticsArticleTranscriptome03 medical and health sciencestranscriptomics0302 clinical medicinealcohol use disordersmental disordersGeneticsmedicineHumansPathologicalGenetics (clinical)functional profilingbusiness.industryAlcohol dependenceCognitionmedicine.diseasemeta-analysislcsh:GeneticsAlcoholism030104 developmental biologyMeta-analysisAlcohol intakesex characteristicsTranscriptomebusiness030217 neurology & neurosurgerySex characteristicsGenes
researchProduct

Characteristics and Outcomes of 35 Breast Cancer Patients Infected With COVID-19

2020

Since December 2019, a novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly engulfed the world. Cancer patients infected with COVID-19 are considered to carry higher severity of the disease and higher mortality rate than common COVID-19 patients in previous studies. However, due to the poor clinical information on COVID-19 patients with cancer, the evidences that supported this conclusion are insufficient. At present, rather limited reports have analyzed the clinical data of breast cancer patients infected with COVID-19. Therefore, in this retrospective study, we described the clinical characteristics and the outcomes of 35 …

0301 basic medicinemedicine.medical_specialtyCancer ResearchCoronavirus disease 2019 (COVID-19)Diseasemedicine.disease_causelcsh:RC254-282Asymptomatic03 medical and health sciences0302 clinical medicineBreast cancerbreast cancerInternal medicineMedicineclinical characteristicsCoronavirusOriginal Researchnon-cancerbusiness.industrySARS-CoV-2Mortality rateCancerRetrospective cohort studylcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.disease030104 developmental biologyOncology030220 oncology & carcinogenesisprognosismedicine.symptombusinessFrontiers in Oncology
researchProduct

Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

2017

Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with focal epilepsy show reorganization or plasticity of brain networks involved in cognitive functions, inducing ‘atypical’ (compared to ‘typical’ in healthy people) brain profiles. Moreover, some of these patients suffer from drug-resistant epilepsy, and they undergo surgery to stop seizures. The neurosurgeon should only remove the zone generating seizures and must preserve cognitive functions to avoid deficits. To preserve functions, one sho…

0301 basic medicinemedicine.medical_specialtyCognitive Neuroscience[SCCO.COMP]Cognitive science/Computer scienceAudiologyExtreme Gradient Boostinglcsh:Computer applications to medicine. Medical informaticsArticle03 medical and health sciencesEpilepsy0302 clinical medicineText miningMachine learningmedicineLanguagelcsh:Computer softwareEpilepsyCognitive mapReceiver operating characteristicbusiness.industryCognitionNeurophysiologymedicine.diseaseMLComputer Science ApplicationsStatistical classificationlcsh:QA76.75-76.765030104 developmental biologyNeurologyBinary classification[ SCCO.COMP ] Cognitive science/Computer sciencelcsh:R858-859.7Artificial intelligencePsychologybusiness030217 neurology & neurosurgeryAtypicalXGBoost
researchProduct

Automated Categorization of Parkinsonian Syndromes Using Magnetic Resonance Imaging in a Clinical Setting

2020

Background Machine learning algorithms using magnetic resonance imaging (MRI) data can accurately discriminate parkinsonian syndromes. Validation in patients recruited in routine clinical practice is missing. Objective The aim of this study was to assess the accuracy of a machine learning algorithm trained on a research cohort and tested on an independent clinical replication cohort for the categorization of parkinsonian syndromes. Methods Three hundred twenty-two subjects, including 94 healthy control subjects, 119 patients with Parkinson's disease (PD), 51 patients with progressive supranuclear palsy (PSP) with Richardson's syndrome, 35 with multiple system atrophy (MSA) of the parkinsoni…

0301 basic medicinemedicine.medical_specialtyParkinson's diseaseParkinson's diseasemultiple system atrophyProgressive supranuclear palsyDiagnosis Differential03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationParkinsonian DisordersmedicineHumansmultimodal magnetic resonance imagingReceiver operating characteristicmedicine.diagnostic_testbusiness.industryParkinsonismMagnetic resonance imagingprogressive supranuclear palsymedicine.diseaseMagnetic Resonance Imaging3. Good healthnervous system diseasesmachine learning algorithm030104 developmental biologyDiffusion Tensor ImagingNeurologyCategorizationnervous systemCohort[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Neurology (clinical)Supranuclear Palsy Progressivebusiness030217 neurology & neurosurgeryDiffusion MRI
researchProduct

Validation of the Sepsis MetaScore for Diagnosis of Neonatal Sepsis

2016

What’s known on this subject Neonates are at increased risk for developing sepsis, but this population often exhibits ambiguous clinical signs that complicate the diagnosis of infection. No biomarker has yet shown enough diagnostic accuracy to rule out sepsis at the time of clinical suspicion. What this study adds We show that a gene-expression-based signature is an accurate objective measure of the risk of sepsis in a neonate or preterm infant, and it substantially improves diagnostic accuracy over that of commonly used laboratory-based testing. Implementation might decrease inappropriate antibiotic use. Background Neonatal sepsis can have devastating consequences, but accurate diagnosis i…

0301 basic medicinemedicine.medical_specialtyPopulationSepsis03 medical and health sciences0302 clinical medicinePredictive Value of Tests030225 pediatricsDrug Resistance BacterialmedicineHumansIntensive care medicineeducationRetrospective Studieseducation.field_of_studyNeonatal sepsisReceiver operating characteristicClinical Laboratory Techniquesbusiness.industryRetrospective cohort studyOriginal ArticlesGeneral Medicinemedicine.diseaseAnti-Bacterial Agents030104 developmental biologyInfectious DiseasesROC CurvePredictive value of testsPediatrics Perinatology and Child HealthCohortBiomarker (medicine)Neonatal SepsisTranscriptomebusinessJournal of the Pediatric Infectious Diseases Society
researchProduct

Development and Validation of a New Clinical Prediction Model of Catheter-Related Thrombosis Based on Vascular Ultrasound Diagnosis in Cancer Patients

2020

Background: Central venous catheters are convenient for drug delivery and improved comfort for cancer patients, but they also cause serious complications. The most common complication is catheter-related thrombosis (CRT). Objectives: This study aimed to evaluate the incidence and risk factors for CRT in cancer patients and develop an effective prediction model for CRT in cancer patients. Methods: The development of our prediction model was based on a retrospective cohort (n = 3,131) from the National Cancer Center. Our prediction model was confirmed in a prospective cohort from the National Cancer Center (n = 685) and a retrospective cohort from the Hunan Cancer Hospital (n = 61). The predi…

0301 basic medicinemedicine.medical_specialtylcsh:Diseases of the circulatory (Cardiovascular) systemMultivariate analysis030204 cardiovascular system & hematologyCardiovascular Medicinecathetersnomogram03 medical and health sciences0302 clinical medicineInternal medicinemedicinecancerRisk factorProspective cohort studythrombosisOriginal ResearchReceiver operating characteristicbusiness.industryCancerRetrospective cohort studyNomogrammedicine.disease030104 developmental biologyrisk factorlcsh:RC666-701CohortCardiology and Cardiovascular MedicinebusinessFrontiers in Cardiovascular Medicine
researchProduct

Functional test measures as risk indicators for low back pain among fixed-wing military pilots.

2015

Purpose The purpose of this study was to find out the risk value of functional fitness test (FFT) results for low back pain (LBP) among fixed-wing military pilots. Methods A total of 104 male military pilots were recruited for this study. The study was conducted with a self-administered questionnaire and FFT. The functional tests were performed in the beginning of study (baseline). The questionnaire was carried out at the baseline and 5 years later. Results The isometric low back endurance test result was associated with physical activity-related LBP experienced 5 years later. Demographic information was not associated with LBP. The prevalence of overall LBP was 71% and the flight-related L…

030110 physiology0301 basic medicineAdultMalemedicine.medical_specialtyFunctional trainingIsometric exerciseCohort Studies03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationFixed wingRisk Factorshealth services administrationSurveys and QuestionnairesPrevalenceMedicineHealth Status IndicatorsHumans030212 general & internal medicineMuscle StrengthRange of Motion Articularbusiness.industrypathological conditions signs and symptomsGeneral MedicineLow back painnervous system diseasesTest (assessment)body regionsOccupational DiseasesMilitary personnelPilotsMilitary PersonnelPhysical therapyExercise Testpopulation characteristicsAviation medicinemedicine.symptombusinessLow Back PainCohort studyJournal of the Royal Army Medical Corps
researchProduct

IMPACT OF CARTILAGE DAMAGE ON ARTHROGENIC MUSCLE INHIBITION IN PATIENTS WITH MENISCUS INJURIES

2016

Background: Knee traumata are associated with arthrogenic muscle inhibition (AMI). We aimed to identify impact factors on AMI. Methods: A total of 37 patients with meniscus injuries were interviewed and examined for maximum isometric knee extensor force preoperatively. We analyzed AMI as relative maximum isometric force between healthy and injured legs. Regression analyses were computed to evaluate associations between an AMI with muscle-strength reduction [Formula: see text]% and several parameters and between cartilage damage[Formula: see text][Formula: see text][Formula: see text]stadium 3 and several parameters. ROC curves were calculated to investigate effectiveness of age and pain at…

030203 arthritis & rheumatologymedicine.medical_specialtyReceiver operating characteristicbusiness.industryCartilageMuscle weakness030229 sport sciencesIsometric exerciseMeniscus (anatomy)Logistic regressionMuscle atrophySurgery03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureInternal medicineConcomitantCardiologyMedicineOrthopedics and Sports Medicinemedicine.symptombusinessJournal of Musculoskeletal Research
researchProduct