Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/105183
DC FieldValueLanguage
dc.contributor.authorCano, Amanda-
dc.contributor.authorTurowski, Patric-
dc.contributor.authorEttcheto, Miren-
dc.contributor.authorDuskey, Jason Thomas-
dc.contributor.authorTosi, Giovanni-
dc.contributor.authorSánchez-López, Elena-
dc.contributor.authorGarcía, Maria Luisa-
dc.contributor.authorCamins, Antonio-
dc.contributor.authorSouto, Eliana B.-
dc.contributor.authorRuiz, Agustín-
dc.contributor.authorMarquié, Marta-
dc.contributor.authorBoada, Mercè-
dc.date.accessioned2023-02-08T09:33:05Z-
dc.date.available2023-02-08T09:33:05Z-
dc.date.issued2021-04-29-
dc.identifier.issn1477-3155pt
dc.identifier.urihttps://hdl.handle.net/10316/105183-
dc.description.abstractIncreasing life expectancy has led to an aging population, which has consequently increased the prevalence of dementia. Alzheimer's disease (AD), the most common form of dementia worldwide, is estimated to make up 50-80% of all cases. AD cases are expected to reach 131 million by 2050, and this increasing prevalence will critically burden economies and health systems in the next decades. There is currently no treatment that can stop or reverse disease progression. In addition, the late diagnosis of AD constitutes a major obstacle to effective disease management. Therefore, improved diagnostic tools and new treatments for AD are urgently needed. In this review, we investigate and describe both well-established and recently discovered AD biomarkers that could potentially be used to detect AD at early stages and allow the monitoring of disease progression. Proteins such as NfL, MMPs, p-tau217, YKL-40, SNAP-25, VCAM-1, and Ng / BACE are some of the most promising biomarkers because of their successful use as diagnostic tools. In addition, we explore the most recent molecular strategies for an AD therapeutic approach and nanomedicine-based technologies, used to both target drugs to the brain and serve as devices for tracking disease progression diagnostic biomarkers. State-of-the-art nanoparticles, such as polymeric, lipid, and metal-based, are being widely investigated for their potential to improve the effectiveness of both conventional drugs and novel compounds for treating AD. The most recent studies on these nanodevices are deeply explained and discussed in this review.pt
dc.language.isoengpt
dc.publisherSpringer Naturept
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectAlzheimer’s diseasept
dc.subjectBiomarkerspt
dc.subjectLipid nanoparticlespt
dc.subjectMetal nanoparticlespt
dc.subjectNanotechnologypt
dc.subjectPolymeric nanoparticlespt
dc.subject.meshAgingpt
dc.subject.meshAlzheimer Diseasept
dc.subject.meshAmyloid beta-Peptidespt
dc.subject.meshAnimalspt
dc.subject.meshBiomarkerspt
dc.subject.meshBrainpt
dc.subject.meshDrug Delivery Systemspt
dc.subject.meshHumanspt
dc.subject.meshMetal Nanoparticlespt
dc.subject.meshNanomedicinept
dc.subject.meshOxidative Stresspt
dc.titleNanomedicine-based technologies and novel biomarkers for the diagnosis and treatment of Alzheimer's disease: from current to future challengespt
dc.typearticle-
degois.publication.firstPage122pt
degois.publication.issue1pt
degois.publication.titleJournal of Nanobiotechnologypt
dc.peerreviewedyespt
dc.identifier.doi10.1186/s12951-021-00864-xpt
degois.publication.volume19pt
dc.date.embargo2021-04-29*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCom Texto completo-
crisitem.author.orcid0000-0001-9567-4283-
crisitem.author.orcid0000-0002-9737-6017-
Appears in Collections:FFUC- Artigos em Revistas Internacionais
Show simple item record

SCOPUSTM   
Citations

52
checked on May 13, 2024

WEB OF SCIENCETM
Citations

45
checked on May 2, 2024

Page view(s)

54
checked on May 7, 2024

Download(s)

19
checked on May 7, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons