Cerebrospinal fluid biomarkers for Alzheimer's disease in Down syndrome
Dekker, Alain D. (University of Antwerp)
Fortea, Juan (Institut d'Investigació Biomèdica Sant Pau)
Blesa, Rafael (Institut d'Investigació Biomèdica Sant Pau)
De Deyn, Peter Paul (Laboratory of Neurochemistry and Behaviour, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium)
Universitat Autònoma de Barcelona
Date: |
2017 |
Abstract: |
Down syndrome (DS), present in nearly six million people, is associated with an extremely high risk to develop Alzheimer's disease (AD). Amyloid-β and tau pathology are omnipresent from age 40 years onward, but clinical symptoms do not appear in all DS individuals. Dementia diagnostics is complex in this population, illustrating the great need for predictive biomarkers. Although blood biomarkers have not yet proven useful, cerebrospinal fluid (CSF) biomarkers (low amyloid-β42, high t-tau, and high p-tau) effectively contribute to AD diagnoses in the general population and are increasingly used in clinical practice. Surprisingly, CSF biomarkers have been barely evaluated in DS. Breaking the taboo on CSF analyses would finally allow for the elucidation of its utility in (differential) diagnoses and staging of disease severity. A sensitive and specific biomarker profile for AD in DS would be of paramount importance to daily care, adaptive caregiving, and specific therapeutic interventions. |
Rights: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. |
Language: |
Anglès |
Document: |
Article ; recerca ; Versió publicada |
Subject: |
Alzheimer's disease ;
Biomarkers ;
Cerebrospinal fluid ;
Dementia ;
Down syndrome |
Published in: |
Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring, Vol. 8 (march 2017) , p. 1-10, ISSN 2352-8729 |
DOI: 10.1016/j.dadm.2017.02.006
PMID: 28413821
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Record created 2018-02-08, last modified 2023-11-30