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dc.contributor.authorKhodadadian, A
dc.contributor.authorHemmati-Dinarvand, M
dc.contributor.authorKalantary-Charvadeh, A
dc.contributor.authorGhobadi, A
dc.contributor.authorMazaheri, M
dc.date.accessioned2018-08-26T06:35:05Z
dc.date.available2018-08-26T06:35:05Z
dc.date.issued2018
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/44133
dc.description.abstractParkinson's disease (PD) is one of the most common diseases associated with neurodegenerative disorders. It affects 3% to 4% of the population over the age of 65 years. The neuropathological dominant symptoms of PD include the destruction of neurons in the substantia nigra, thus causing striatal dopamine deficiency and the presence of intracellular inclusions that contain aggregates of a-synuclein. The premature form of PD is familial and is known as early onset PD (EOPD). It involves a small portion of patients with PD, displaying symptoms before the age of 60 years. Although individuals who are suffering from the EOPD may have genetic changes, the molecular mechanisms that differentiate between EOPD and late onset PD (LOPD) remain unclear. Owing to the complexity of discriminating between the different forms, treatment, and management of PD, the identification of biomarkers for early diagnosis seems necessary. For this purpose, many studies have been undertaken for the introduction of several biological molecules through various techniques as potential biomarkers. The main focus of these studies was on alpha-synuclein. However, there are other molecules that are potential biomarkers, such as microRNAs and peptoids. In this article, we tried to review some of these studies.
dc.language.isoEnglish
dc.relation.ispartofBIOMEDICINE & PHARMACOTHERAPY
dc.subjectParkinson's disease
dc.subjectneurodegenerative disorders
dc.subjectmicroRNA
dc.subjectbiomarkers
dc.subjectdopamine deficiency
dc.titleCandidate biomarkers for Parkinson's disease
dc.typeReview
dc.citation.volume104
dc.citation.spage699
dc.citation.epage704
dc.citation.indexWeb of science
dc.identifier.DOIhttps://doi.org/10.1016/j.biopha.2018.05.026


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