0000000000040496

AUTHOR

Gabi Kastenmüller

showing 4 related works from this author

Chronically elevated branched chain amino acid levels are pro-arrhythmic.

2022

Aim. Cardiac arrhythmias comprise a major health and economic burden and are associated with significant morbidity and mortality, including cardiac failure, stroke and sudden cardiac death (SCD). Development of efficient preventive and therapeutic strategies is hampered by incomplete knowledge of disease mechanisms and pathways. Our aim is to identify novel mechanisms underlying cardiac arrhythmia and SCD using an unbiased approach. Methods and Results. We employed a phenotype-driven N-ethyl-N-nitrosourea (ENU) mutagenesis screen and identified a mouse line with a high incidence of sudden death at young age (6-9 weeks) in the absence of prior symptoms. Affected mice were found to be homozyg…

0301 basic medicinemedicine.medical_specialtyPhysiologyBranched-chain amino acid030204 cardiovascular system & hematologySudden deathSudden cardiac deathAfterdepolarization03 medical and health scienceschemistry.chemical_compoundMice0302 clinical medicinePhysiology (medical)Internal medicineCardiac conductionmedicineAnimalsHumansMyocytes CardiacBCAAArrhythmia ; Bcaa ; Electrophysiology ; Metabolism ; Sudden DeathHeart FailureSirolimusbusiness.industrySudden deathCardiac arrhythmiamedicine.diseaseElectrophysiology030104 developmental biologyEndocrinologyMetabolismchemistryHeart failureCalciumMetabolic syndromeCardiology and Cardiovascular MedicinebusinessArrhythmiaAmino Acids Branched-ChainCardiovascular research
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Differences between Human Plasma and Serum Metabolite Profiles

2011

BackgroundHuman plasma and serum are widely used matrices in clinical and biological studies. However, different collecting procedures and the coagulation cascade influence concentrations of both proteins and metabolites in these matrices. The effects on metabolite concentration profiles have not been fully characterized.Methodology/principal findingsWe analyzed the concentrations of 163 metabolites in plasma and serum samples collected simultaneously from 377 fasting individuals. To ensure data quality, 41 metabolites with low measurement stability were excluded from further analysis. In addition, plasma and corresponding serum samples from 83 individuals were re-measured in the same plate…

MaleSerumClinical Research DesignEpidemiologyScienceMetaboliteProtein metabolismType 2 diabetesPharmacologyBiologyBiochemistryPlasmachemistry.chemical_compoundDiagnostic MedicineBlood plasmaPathologymedicineMetabolomeHumansClinical EpidemiologyBiologyAgedAged 80 and overClinical ChemistryReproducibilityMultidisciplinaryChromatographyQChromatography; Metabolomics; Collection; Samples; Issues; AcidRReproducibility of ResultsMiddle Agedmedicine.diseaseClinical Laboratory SciencesBiomarker EpidemiologychemistrySmall MoleculesBlood ChemistryMetabolomeMedicineBiomarker (medicine)FemaleBiomarkersDrug metabolismResearch ArticleGeneral PathologyPLoS ONE
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First mitochondrial genome-wide association study with metabolomics.

2021

AbstractIn the era of personalized medicine with more and more patient-specific targeted therapies being used, we need reliable, dynamic, faster and sensitive biomarkers both to track the causes of disease and to develop and evolve therapies during the course of treatment. Metabolomics recently has shown substantial evidence to support its emerging role in disease diagnosis and prognosis. Aside from biomarkers and development of therapies, it is also an important goal to understand the involvement of mitochondrial DNA (mtDNA) in metabolic regulation, aging and disease development. Somatic mutations of the mitochondrial genome are also heavily implicated in age-related disease and aging. The…

GeneticsMitochondrial DNANucleotidesMetaboliteGeneral MedicineBiologyMitochondrionDNA MitochondrialHeteroplasmyMitochondriachemistry.chemical_compoundMetabolomicschemistryGeneticsMetabolomeGenetic predispositionPhosphatidylcholinesHumansMetabolomicsMolecular BiologyGeneGenetics (clinical)BiomarkersGenome-Wide Association StudyHuman molecular genetics
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CYGD: the Comprehensive Yeast Genome Database.

2005

The comprehensive resource is available under http://mips.gsf.de/genre/proj/yeast/.; International audience; The Comprehensive Yeast Genome Database (CYGD) compiles a comprehensive data resource for information on the cellular functions of the yeast Saccharomyces cerevisiae and related species, chosen as the best understood model organism for eukaryotes. The database serves as a common resource generated by a European consortium, going beyond the provision of sequence information and functional annotations on individual genes and proteins. In addition, it provides information on the physical and functional interactions among proteins as well as other genetic elements. These cellular network…

ved/biology.organism_classification_rank.speciesSACCHAROMYCES CEREVISIAE GENOME;COMPREHENSIVE YEAST GENOME DATABASE;CYGD;PROTEIN INTERACTION;EUROPEAN CONSORTIUM;SEQUENCE INFORMATION;YEAST GENOME;SEQUENCED EUKARYOTIC GENOMEcomputer.software_genreGenomeSaccharomycesUser-Computer InterfaceSequence Analysis ProteinDatabases GeneticYEAST GENOME[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]0303 health sciences[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]biologyDatabase030302 biochemistry & molecular biologyEUROPEAN CONSORTIUMArticlesGenomicsCYGD[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]PROTEIN INTERACTIONSEQUENCED EUKARYOTIC GENOMEnucleic acidsCOMPREHENSIVE YEAST GENOME DATABASEBio-informatiqueGenome FungalSEQUENCE INFORMATIONSaccharomyces cerevisiae ProteinsBioinformaticsSaccharomyces cerevisiae610Saccharomyces cerevisiaeGenètica molecularSACCHAROMYCES CEREVISIAE GENOMESaccharomyces03 medical and health sciencesAnnotationGeneticsSIMAPModel organismGene030304 developmental biologyBinding Sitesved/biologyMembrane ProteinsMembrane Transport Proteinsbiology.organism_classificationYeast[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]computerSDV:BIBSTranscription Factors
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