0000000001232659

AUTHOR

Alessandro Tonacci

0000-0001-8335-5541

showing 2 related works from this author

Antiproliferative Effects of St. John’s Wort, Its Derivatives, and Other Hypericum Species in Hematologic Malignancies

2021

Hypericumis a widely present plant, and extracts of its leaves, flowers, and aerial elements have been employed for many years as therapeutic cures for depression, skin wounds, and respiratory and inflammatory disorders. Hypericum also displays an ample variety of other biological actions, such as hypotensive, analgesic, anti-infective, anti-oxidant, and spasmolytic abilities. However, recent investigations highlighted that this species could be advantageous for the cure of other pathological situations, such as trigeminal neuralgia, as well as in the treatment of cancer. This review focuses on the in vitro and in vivo antitumor effects of St. John’s Wort (Hypericum perforatum), its derivat…

MyeloidAngiogenesisDrug Evaluation PreclinicalReviewPharmacologylcsh:Chemistrychemistry.chemical_compoundhyperforinDrug InteractionsMyeloid CellsLymphocyteslcsh:QH301-705.5SpectroscopybiologyapoptosisleukemiaHypericum perforatumGeneral MedicineComputer Science ApplicationsHypericinLeukemiamedicine.anatomical_structurephotodynamic therapyHematologic NeoplasmsHypericumHypericumSt. John’s wortlymphomaCatalysisInorganic ChemistryStructure-Activity Relationshipmultidrug resistanceIn vivoCell Line TumormedicineAnimalsHumansPhysical and Theoretical ChemistryMolecular BiologyCell ProliferationPlant Extractsbusiness.industryOrganic Chemistry<i>Hypericum</i>biology.organism_classificationmedicine.diseaseAntineoplastic Agents PhytogenicApoptosis; Hyperforin; Hypericin; Hypericum; Leukemia; Lymphoma; Mul-tidrug resistance; Photodynamic therapy; St. John’s wort; Animals; Antineoplastic Agents Phytogenic; Apoptosis; Cell Line Tumor; Cell Proliferation; Drug Evaluation Preclinical; Drug Interactions; Drug Resistance Neoplasm; Hematologic Neoplasms; Humans; Hypericum; Lymphocytes; Myeloid Cells; Plant Extracts; Structure-Activity RelationshipHyperforinchemistrylcsh:Biology (General)lcsh:QD1-999Drug Resistance NeoplasmhypericinbusinessInternational Journal of Molecular Sciences
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A machine learning application to predict early lung involvement in scleroderma: A feasibility evaluation

2021

Introduction: Systemic sclerosis (SSc) is a systemic immune-mediated disease, featuring fibrosis of the skin and organs, and has the greatest mortality among rheumatic diseases. The nervous system involvement has recently been demonstrated, although actual lung involvement is considered the leading cause of death in SSc and, therefore, should be diagnosed early. Pulmonary function tests are not sensitive enough to be used for screening purposes, thus they should be flanked by other clinical examinations

Elastic net regularizationSpirometryMedicine (General)High-resolution computed tomographyArtificial intelligenceClinical BiochemistryDiseaseMachine learningcomputer.software_genreArticlePulmonary function testingR5-920Machine learningmedicineCause of deathEsophageal dilatationintegumentary systemmedicine.diagnostic_testbusiness.industryHRCT chestRegressionRandom forestArtificial intelligence; Esophageal dilatation; HRCT chest; Machine learning; Systemic sclerosisSystemic sclerosisArtificial intelligencebusinesscomputer
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