0000000000244095

AUTHOR

Ruslan Hlushchuk

0000-0002-6722-8996

showing 2 related works from this author

VEGF-B-induced vascular growth leads to metabolic reprogramming and ischemia resistance in the heart

2014

Abstract Angiogenic growth factors have recently been linked to tissue metabolism. We have used genetic gain‐ and loss‐of function models to elucidate the effects and mechanisms of action of vascular endothelial growth factor‐B (VEGF‐B) in the heart. A cardiomyocyte‐specific VEGF‐B transgene induced an expanded coronary arterial tree and reprogramming of cardiomyocyte metabolism. This was associated with protection against myocardial infarction and preservation of mitochondrial complex I function upon ischemia‐reperfusion. VEGF‐B increased VEGF signals via VEGF receptor‐2 to activate Erk1/2, which resulted in vascular growth. Akt and mTORC1 pathways were upregulated and AMPK downregulated, …

VEGF‐Bmedicine.medical_specialtyMedicine (General)AngiogenesiseducationMOUSE HEARTIschemiaVEGF-B610 Medicine & healthmTORC1ischemiaBiologyQH426-470CONTRIBUTESchemistry.chemical_compoundangiogenesisR5-920CARDIAC-FUNCTIONInternal medicinemedicineGeneticsFAILUREta318Myocardial infarctionFATTY-ACID UPTAKEREPERFUSION INJURY610 Medicine & healthProtein kinase BMYOCARDIAL HYPERTROPHYAMPKta3121medicine.diseaseCell biologyARTERIOGENESISVascular endothelial growth factorMICEEndocrinologychemistry3121 General medicine internal medicine and other clinical medicineendothelial cellMolecular Medicine3111 BiomedicineReperfusion injurymetabolism
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Automated segmentation and description of the internal morphology of human permanent teeth by means of micro-CT

2020

High-resolution micro-computed tomography is a powerful tool to analyze and visualize the internal morphology of human permanent teeth. It is increasingly used for investigation of epidemiological questions to provide the dentist with the necessary information required for successful endodontic treatment. The aim of the present paper was to propose an image processing method to automate parts of the work needed to fully describe the internal morphology of human permanent teeth. One hundred and four human teeth were scanned on a high-resolution micro-CT scanner using an automatic specimen changer. Python code in a Jupyter notebook was used to verify and process the scans, prepare the dataset…

Micro-CTScannerComputer scienceInternal tooth morphologyAutomated segmentationRoot canal configurationImage processing610 Medicine & health03 medical and health sciences0302 clinical medicinestomatognathic systemImage Processing Computer-AssistedMedicineHumansComputer visionTooth Root610 Medicine & healthMicro ctGeneral Dentistry030304 developmental biologycomputer.programming_languagePermanent teeth0303 health sciencesbusiness.industryResearchBiomedical image analysisProcess (computing)Reproducibility of ResultsRK1-715030206 dentistryX-Ray MicrotomographyPhysiological foramen geometryPython (programming language)Dentition PermanentAutomated segmentationstomatognathic diseasesDentistryTomographyArtificial intelligenceDental Pulp Cavitybusinesscomputer
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