0000000000283368

AUTHOR

Ivars Silamikelis

showing 8 related works from this author

Medication for Acromegaly Reduces Expression of MUC16, MACC1 and GRHL2 in Pituitary Neuroendocrine Tumour Tissue

2021

Acromegaly is a disease mainly caused by pituitary neuroendocrine tumor (PitNET) overproducing growth hormone. First-line medication for this condition is the use of somatostatin analogs (SSAs), that decrease tumor mass and induce antiproliferative effects on PitNET cells. Dopamine agonists (DAs) can also be used if SSA treatment is not effective. This study aimed to determine differences in transcriptome signatures induced by SSA/DA therapy in PitNET tissue. We selected tumor tissue from twelve patients with somatotropinomas, with half of the patients receiving SSA/DA treatment before surgery and the other half treatment naive. Transcriptome sequencing was then carried out to identify diff…

Cancer Researchbusiness.industrysomatostatin/dopamine (SSA/DA) therapynext generation sequencing (NGS)medicine.disease_causemedicine.diseaselcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogenslcsh:RC254-282TranscriptomeExtracellular matrixSomatostatinOncologyDownregulation and upregulationDopamineGene expressionAcromegalyCancer researchMedicineacromegalysomatotropinomabusinessCarcinogenesistranscriptomeOriginal Researchmedicine.drugFrontiers in Oncology
researchProduct

First Report on the Latvian SARS-CoV-2 Isolate Genetic Diversity

2021

Remaining a major healthcare concern with nearly 29 million confirmed cases worldwide at the time of writing, novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused more than 920 thousand deaths since its outbreak in China, December 2019. First case of a person testing positive for SARS-CoV-2 infection within the territory of the Republic of Latvia was registered on 2nd of March 2020, 9 days prior to the pandemic declaration by WHO. Since then, more than 277,000 tests were carried out confirming a total of 1,464 cases of coronavirus disease 2019 (COVID-19) in the country as of 12th of September 2020. Rapidly reacting to the spread of the infection, an ongoing sequenci…

0301 basic medicineHCoV-19Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)medicine.disease_cause03 medical and health sciences0302 clinical medicinePandemicmedicineChinaOriginal ResearchCoronavirusGenetic diversitylcsh:R5-920SARS-CoV-2LatvianOutbreakCOVID-19General Medicinegenetic diversityVirologyLatvialanguage.human_language030104 developmental biologyGeography2019-nCoVlanguageMedicinenext-generation sequencingSevere acute respiratory syndrome coronaviruslcsh:Medicine (General)030217 neurology & neurosurgeryFrontiers in Medicine
researchProduct

A widely used sampling device in colorectal cancer screening programmes allows for large-scale microbiome studies.

2018

We read with interest the article by Passamonti et al ,1 reporting the performance of two different faecal immunochemical tests (FITs) highlighting the importance of standardisation and validation of screening methodologies. Conventionally, laboratory-based FIT is the preferred approach in testing for occult blood in faeces, which includes colorectal cancer screening programmes.2–4 The potential of preserving stable faecal samples in a widely used FIT buffer for microbiome research would enable prospective microbiome studies in generally healthy subjects undergoing colorectal cancer screening. For this purpose, we evaluated faecal sample stability in the commonly used OC-Sensor (Eiken Chemi…

0301 basic medicineVeterinary medicine2312BiologySampling device03 medical and health sciencesHemoglobins0302 clinical medicineHumansMass Screening1506Microbiomecolonic microfloraEarly Detection of CancerMicrobiotaGastroenterologyHealthy subjectsIllumina miseqIon semiconductor sequencingPostScriptSample stabilityGastrointestinal Microbiome030104 developmental biologyColorectal cancer screeningMetagenomicsOccult Bloodepidemiology030211 gastroenterology & hepatologyGuaiacColorectal NeoplasmsGut
researchProduct

Next-generation-sequencing-based identification of familial hypercholesterolemia-related mutations in subjects with increased LDL–C levels in a latvi…

2015

Background Familial hypercholesterolemia (FH) is one of the commonest monogenic disorders, predominantly inherited as an autosomal dominant trait. When untreated, it results in early coronary heart disease. The vast majority of FH remains undiagnosed in Latvia. The identification and early treatment of affected individuals remain a challenge worldwide. Most cases of FH are caused by mutations in one of four genes, APOB, LDLR, PCSK9, or LDLRAP1. The spectrum of disease-causing variants is very diverse and the variation detection panels usually used in its diagnosis cover only a minority of the disease-causing gene variants. However, DNA-based tests may provide an FH diagnosis for FH patients…

MaleNonsynonymous substitutionApolipoprotein BCoronary Artery DiseaseFamilial hypercholesterolemiaDiseaseCohort StudiesPCSK9Genetics(clinical)Family historyGenetics (clinical)Aged 80 and overGeneticseducation.field_of_studybiologySerine EndopeptidasesHigh-Throughput Nucleotide SequencingAutosomal dominant traitMiddle AgedLDLRAP1Apolipoprotein B-100Femalelipids (amino acids peptides and proteins)Proprotein ConvertasesProprotein Convertase 9APOBResearch ArticleAdultPopulationPolymorphism Single NucleotideLDLHyperlipoproteinemia Type IIYoung AdultGeneticsmedicineHumanseducationAdaptor Proteins Signal TransducingAgedDiagnostic toolsPCSK9Cholesterol LDLmedicine.diseaseLatviaGenetics PopulationLDLRReceptors LDLMutationNext-generation sequencingbiology.proteinBMC Medical Genetics
researchProduct

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
researchProduct

Whole-blood transcriptome profiling reveals signatures of metformin and its therapeutic response

2020

Metformin, a biguanide agent, is the first-line treatment for type 2 diabetes mellitus due to its glucose-lowering effect. Despite its wide application in the treatment of multiple health conditions, the glycemic response to metformin is highly variable, emphasizing the need for reliable biomarkers. We chose the RNA-Seq-based comparative transcriptomics approach to evaluate the systemic effect of metformin and highlight potential predictive biomarkers of metformin response in drug-naive volunteers with type 2 diabetes in vivo. The longitudinal blood-derived transcriptome analysis revealed metformin-induced differential expression of novel and previously described genes involved in cholester…

0301 basic medicineMaleendocrine system diseasesMolecular biologyGene ExpressionType 2 diabetesPharmacologyBiochemistryTranscriptome0302 clinical medicineEndocrinologyMedical ConditionsSequencing techniquesGastrointestinal CancersBreast TumorsMedicine and Health SciencesHomeostasisEnergy-Producing OrganellesWhole bloodMultidisciplinarySmall nuclear RNABiguanideQRRNA sequencingGenomicsMiddle AgedMetforminMetforminMitochondriaType 2 DiabetesNucleic acidsCholesterolSmall nucleolar RNAOncology030220 oncology & carcinogenesisMedicineFemaleCellular Structures and OrganellesTranscriptome Analysismedicine.drugResearch Articlemedicine.drug_classEndocrine DisordersScienceGastroenterology and HepatologyBioenergetics03 medical and health sciencesBreast CancermedicineGeneticsDiabetes MellitusHumansNon-coding RNAGlycemicAgedbusiness.industryGene Expression ProfilingType 2 Diabetes Mellitusnutritional and metabolic diseasesBiology and Life SciencesComputational BiologyCancers and NeoplasmsCell Biologymedicine.diseaseGenome AnalysisGene regulationGene expression profilingResearch and analysis methods030104 developmental biologyMolecular biology techniquesMetabolic DisordersRNAbusinessBlood Chemical AnalysisPLoS ONE
researchProduct

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
researchProduct

Additional file 1: Table S1. of Next-generation-sequencing-based identification of familial hypercholesterolemia-related mutations in subjects with i…

2015

All variants found in study group. (DOC 611Â kb)

researchProduct