Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/103323
DC FieldValueLanguage
dc.contributor.authorSimões, Rui F.-
dc.contributor.authorOliveira, Paulo J.-
dc.contributor.authorOliveira, Teresa Cunha-
dc.contributor.authorPereira, Francisco B.-
dc.date.accessioned2022-11-07T09:26:42Z-
dc.date.available2022-11-07T09:26:42Z-
dc.date.issued2022-03-10-
dc.identifier.issn1422-0067pt
dc.identifier.urihttps://hdl.handle.net/10316/103323-
dc.description.abstractWith the increase in life expectancy and consequent aging of the world's population, the prevalence of many neurodegenerative diseases is increasing, without concomitant improvement in diagnostics and therapeutics. These diseases share neuropathological hallmarks, including mitochondrial dysfunction. In fact, as mitochondrial alterations appear prior to neuronal cell death at an early phase of a disease's onset, the study and modulation of mitochondrial alterations have emerged as promising strategies to predict and prevent neurotoxicity and neuronal cell death before the onset of cell viability alterations. In this work, differentiated SH-SY5Y cells were treated with the mitochondrial-targeted neurotoxicants 6-hydroxydopamine and rotenone. These compounds were used at different concentrations and for different time points to understand the similarities and differences in their mechanisms of action. To accomplish this, data on mitochondrial parameters were acquired and analyzed using unsupervised (hierarchical clustering) and supervised (decision tree) machine learning methods. Both biochemical and computational analyses resulted in an evident distinction between the neurotoxic effects of 6-hydroxydopamine and rotenone, specifically for the highest concentrations of both compounds.pt
dc.description.sponsorshipThis research was funded by the European Regional Development Fund (ERDF), through the COMPETE 2020—Operational Programme for Competitiveness and Internationalization and Portuguese national funds via FCT—Fundação para a Ciência e a Tecnologia, under projects, PTDC/MEDFAR/ 29391/2017, POCI-01-0145-FEDER-029391, PTDC/BTM-SAL/29297/2017, POCI-01-0145-FEDER- 029297, PTDC/BTM-ORG/0055/2021, DL57/2016/CP1448/CT0016 [TCO], UIDP/04539/2020 (CNC), UIDB/04539/2020 (CNC), and UID/CEC/00326/2020 (CISUC).-
dc.language.isoengpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subject6-hydroxydopaminept
dc.subjectrotenonept
dc.subjectin vitro neurotoxicitypt
dc.subjectmitochondrial dysfunctionpt
dc.subjectexploratory data analysispt
dc.subjectapplied computational statisticspt
dc.subjectunsupervised and supervised machine learningpt
dc.subject.meshApoptosispt
dc.subject.meshCell Deathpt
dc.subject.meshCell Line, Tumorpt
dc.subject.meshCell Survivalpt
dc.subject.meshHumanspt
dc.subject.meshOxidopaminept
dc.subject.meshRotenonept
dc.subject.meshNeuroprotective Agentspt
dc.subject.meshNeurotoxicity Syndromespt
dc.titleEvaluation of 6-Hydroxydopamine and Rotenone In Vitro Neurotoxicity on Differentiated SH-SY5Y Cells Using Applied Computational Statisticspt
dc.typearticle-
degois.publication.firstPage3009pt
degois.publication.issue6pt
degois.publication.titleInternational Journal of Molecular Sciencespt
dc.peerreviewedyespt
dc.identifier.doi10.3390/ijms23063009pt
degois.publication.volume23pt
dc.date.embargo2022-03-10*
uc.date.periodoEmbargo0pt
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitCNC - Center for Neuroscience and Cell Biology-
crisitem.author.researchunitCNC - Center for Neuroscience and Cell Biology-
crisitem.author.orcid0000-0002-5982-8983-
crisitem.author.orcid0000-0002-5201-9948-
crisitem.author.orcid0000-0002-7382-0339-
Appears in Collections:I&D CNC - Artigos em Revistas Internacionais
I&D CISUC - Artigos em Revistas Internacionais
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This item is licensed under a Creative Commons License Creative Commons