0000000000070302

AUTHOR

Linda Zaharenko

showing 8 related works from this author

Variation in the glucose transporter gene SLC2A2 is associated with glycemic response to metformin

2016

Metformin is the first-line antidiabetic drug with over 100 million users worldwide, yet its mechanism of action remains unclear(1). Here the Metformin Genetics (MetGen) Consortium reports a three-stage genome-wide association study (GWAS), consisting of 13,123 participants of different ancestries. The C allele of rs8192675 in the intron of SLC2A2, which encodes the facilitated glucose transporter GLUT2, was associated with a 0.17% (P = 6.6 x 10(-14)) greater metformin-induced reduction in hemoglobin A1c (HbA1c) in 10,577 participants of European ancestry. rs8192675 was the top cis expression quantitative trait locus (cis-eQTL) for SLC2A2 in 1,226 human liver samples, suggesting a key role …

Blood Glucose0301 basic medicinemedicine.medical_specialtyendocrine system diseasesGenome-wide association studyType 2 diabetesPolymorphism Single NucleotideWhite PeopleBody Mass Index03 medical and health sciencesQuantitative Trait HeritableInternal medicineDiabetes mellitusGeneticsmedicineHumansHypoglycemic AgentsAlleleGlycemicGlucose Transporter Type 2Glycated HemoglobinbiologyGlucose transporternutritional and metabolic diseasesmedicine.diseaseMetformin3. Good healthMetformin030104 developmental biologyEndocrinologyDiabetes Mellitus Type 2biology.proteinGLUT2Genome-Wide Association Studymedicine.drug
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Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research

2015

A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of large-scale studies. A prerequisite for this effort is to be able to search and access phenotypic, clinical and other information about samples that are currently stored at biobanks in an integrated manner. However, privacy issues together with heterogeneous information systems and the lack of agreed-upon vocabularies have made specimen searching across multiple biobanks extremely challenging. We describe three case studies where we have linked samples and sample descriptions in order to facilitate glo…

0301 basic medicineNetherlands Twin Register (NTR)Databases FactualComputer scienceInformation Storage and RetrievalSample (statistics)Ontology (information science)Endocrinology and DiabetesBioinformaticscomputer.software_genredata archivesArticle03 medical and health sciencesSDG 17 - Partnerships for the GoalsSDG 3 - Good Health and Well-beingGenetics/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_Use casebiomedical dataGenetics (clinical)Biological Specimen BanksGenetics & Heredity0604 GeneticsBioinformatics (Computational Biology)ta112ta1184/dk/atira/pure/sustainabledevelopmentgoals/partnershipsData scienceBiobank3. Good healthcross-biotank research030104 developmental biologyProject planningExchange of informationDisparate systemPrivacyBioinformatik (beräkningsbiologi)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingclinical datacomputerData integrationEuropean Journal of Human Genetics
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Association between symptoms of depression, diabetes complications and vascular risk factors in four European cohorts of individuals with type 1 diab…

2020

Aims: To investigate the association between depressive symptomatology and health markers in type 1 diabetes. Methods: Four countries from the InterDiane Consortium had adopted the Finnish Diabetic Nephropathy Study protocol, including the Beck Depression Inventory (BDI). Associations between depression symptomatology, diabetes complications (diabetic nephropathy, proliferative retinopathy, major adverse cardiovascular events [MACE]) and vascular risk factors (metabolic syndrome, body mass index, glycaemic control) were investigated. Results: In a sample of 1046 participants (Croatia n = 99; Finland n = 314; Latvia n = 315; Lithuania n = 318), 13.4% displayed symptoms of depression (BDI sco…

MaleEndocrinology Diabetes and MetabolismDISEASEDiabetic nephropathy0302 clinical medicineEndocrinologyRisk FactorsGLYCEMIC CONTROLSurveys and QuestionnairesPrevalence030212 general & internal medicineDepression (differential diagnoses)2. Zero hungerDepressionGeneral MedicineMiddle AgedMetabolic syndrome3. Good healthEuropeType 1 diabetesFemaleHEALTHAdultmedicine.medical_specialty030209 endocrinology & metabolismRETINOPATHYDiabetes Complications03 medical and health sciencesInternal medicineDiabetes mellitusInternal MedicinemedicineHumansVascular DiseasesType 1 diabetesbusiness.industry616.379-008.64 [udc]Beck Depression InventoryADULTSCAREmedicine.diseaseCross-Sectional StudiesDiabetes Mellitus Type 13121 General medicine internal medicine and other clinical medicineDepression ; Diabetes complications ; Metabolic syndrome ; Type 1 diabetesDiabetes mellitus type 1 ; psychology ; Depression ; Diabetes complications ; Metabolic syndrome ; Cross-sectional studiesSelf ReportMetabolic syndromebusinessBody mass indexMace
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Polymorphisms in FTO and near TMEM18 associate with type 2 diabetes and predispose to younger age at diagnosis of diabetes

2013

Variations in the FTO gene and near the TMEM18 gene are risk factors for common form of obesity, but have also been linked with type 2 diabetes (T2D). Our aim was to investigate the contribution of these variants to risk of T2D in a population in Latvia. Four single nucleotide polymorphisms (SNP) in the first and fourth intronic regions of FTO and one close to TMEM18 were genotyped in 987 patients with T2D and 1080 controls selected from the Latvian Genome Data Base (LGDB). We confirmed association of SNPs in the first intron (rs11642015, rs62048402 and rs9939609) of FTO and rs7561317 representing the TMEM18 locus with T2D. Association between SNP in FTO and T2D remained significant after c…

Linkage disequilibriumendocrine system diseasesPopulationAlpha-Ketoglutarate-Dependent Dioxygenase FTOSingle-nucleotide polymorphismLocus (genetics)Genome-wide association studyBiologyPolymorphism Single NucleotideFTO geneGeneticsmedicineHumansSNPAge of OnseteducationGeneticseducation.field_of_studyAge FactorsMembrane ProteinsProteinsnutritional and metabolic diseasesGeneral Medicinemedicine.diseaseObesityDiabetes Mellitus Type 2Gene
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Association of metformin administration with gut microbiome dysbiosis in healthy volunteers

2018

Background Metformin is a widely used first-line drug for treatment of type 2 diabetes. Despite its advantages, metformin has variable therapeutic effects, contraindications, and side effects. Here, for the very first time, we investigate the short-term effect of metformin on the composition of healthy human gut microbiota. Methods We used an exploratory longitudinal study design in which the first sample from an individual was the control for further samples. Eighteen healthy individuals were treated with metformin (2 × 850 mg) for 7 days. Stool samples were collected at three time points: prior to administration, 24 hours and 7 days after metformin administration. Taxonomic composition of…

0301 basic medicineMaleendocrine system diseasesPhysiologylcsh:MedicineType 2 diabetesGut floraPathology and Laboratory MedicineOpportunistic Pathogens0302 clinical medicineRNA Ribosomal 16SMedicine and Health SciencesLongitudinal Studieslcsh:ScienceData ManagementMultidisciplinarybiologydigestive oral and skin physiologyHigh-Throughput Nucleotide SequencingGenomicsHealthy VolunteersMetformin3. Good healthMetforminBacterial PathogensTolerabilityMedical MicrobiologyFemalePathogensmedicine.drugResearch ArticleMicrobial TaxonomyAdultDNA BacterialEscherichiaComputer and Information SciencesClostridiaceae030209 endocrinology & metabolismMicrobial GenomicsPlaceboDNA RibosomalMicrobiologyDrug Administration Schedule03 medical and health sciencesYoung AdultEnterobacteriaceaeAdverse ReactionsmedicineGeneticsHumansMicrobiomeMicrobial PathogensTaxonomyPharmacologyClostridiumBacteriabusiness.industryPeptostreptococcusTherapeutic effectlcsh:RGut BacteriaOrganismsBiology and Life SciencesSequence Analysis DNAmedicine.diseasebiology.organism_classificationGastrointestinal Microbiome030104 developmental biologyDysbiosislcsh:QMicrobiomebusinessDysbiosisPLOS ONE
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Physiologically based metformin pharmacokinetics model of mice and scale-up to humans for the estimation of concentrations in various tissues

2020

Metformin is the primary drug for type 2 diabetes treatment and a promising candidate for other disease treatment. It has significant deviations between individuals in therapy efficiency and pharmacokinetics, leading to the administration of an unnecessary overdose or an insufficient dose. There is a lack of data regarding the concentration-time profiles in various human tissues that limits the understanding of pharmacokinetics and hinders the development of precision therapies for individual patients. The physiologically based pharmacokinetic (PBPK) model developed in this study is based on humans’ known physiological parameters (blood flow, tissue volume, and others). The missing tissue-s…

MalePhysiologyAdipose tissueType 2 diabetesPharmacology030226 pharmacology & pharmacyMice0302 clinical medicineAnimal CellsRed Blood CellsMedicine and Health SciencesTissue Distribution0303 health sciencesMultidisciplinarySimulation and ModelingQRMetforminBody Fluids3. Good healthMetforminBloodmedicine.anatomical_structureSmall IntestineMedicineAnatomyCellular TypesResearch Articlemedicine.drugPhysiologically based pharmacokinetic modellingScienceExcretionCmaxResearch and Analysis MethodsModels BiologicalBlood Plasma03 medical and health sciencesPharmacokineticsmedicineAnimalsHumansHypoglycemic AgentsComputer SimulationPharmacokinetics030304 developmental biologyPharmacologyBlood CellsDose-Response Relationship Drugbusiness.industryBiology and Life SciencesKidneysRenal SystemCell BiologyBlood flowmedicine.diseaseSmall intestineGastrointestinal TractDiabetes Mellitus Type 2Physiological ProcessesbusinessDigestive SystemPLOS ONE
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Baseline gut microbiome composition predicts metformin therapy short-term efficacy in newly diagnosed type 2 diabetes patients

2020

BackgroundThe study was conducted to investigate the effects of metformin treatment on the human gut microbiome's taxonomic and functional profile in the Latvian population, and to evaluate the correlation of these changes with therapeutic efficacy and tolerance.MethodsIn this longitudinal observational study, stool samples for shotgun metagenomic sequencing-based analysis were collected in two cohorts. The first cohort included 35 healthy nondiabetic individuals (metformin dose 2x850mg/day) at three time-points during metformin administration. The second cohort was composed of 50 newly-diagnosed type 2 diabetes patients (metformin dose-determined by an endocrinologist) at two concordant ti…

AdultMale0301 basic medicinemedicine.medical_specialtyendocrine system diseasesSciencePopulationPrevotella030209 endocrinology & metabolismType 2 diabetesGastroenterologyYoung Adult03 medical and health sciences0302 clinical medicineInternal medicineHumansMedicineLongitudinal StudiesMicrobiomeeducationeducation.field_of_studyMultidisciplinarybiologyBacteroidetesbusiness.industryMicrobiotaQTherapeutic effectRnutritional and metabolic diseasesmedicine.diseasebiology.organism_classificationMetforminGastrointestinal MicrobiomeMetforminLactococcus lactis030104 developmental biologyDiabetes Mellitus Type 2CohortMedicineDialisterFemalebusinessResearch Articlemedicine.drugEnterococcus faeciumPLOS ONE
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Perorāla antidiabētiska medikamenta metformīna efektivitātes un panesamības farmakoģenētika

2015

Elektroniskā versija nesatur pielikumus

Dzīvās dabas zinātnesBioloģija
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