Literature DB >> 17612711

Cerebrospinal fluid biomarkers for diagnosis of Alzheimer's disease: beta-amyloid(1-42), tau, phospho-tau-181 and total protein.

Josef Marksteiner1, Hartmann Hinterhuber, Christian Humpel.   

Abstract

Alzheimer's disease is a chronic progressive neurodegenerative disease and it is the most prevalent type of dementia. Diagnostic means, including neuroimaging methods, are continuously improving. Nevertheless, it is still a challenge to increase the sensitivity and specificity of a diagnosis of Alzheimer's disease. Two diagnostic areas are especially challenging: first, differentiating early stages of Alzheimer's disease from mild cognitive impairment and normal aging; and second, increasing diagnostic specificity especially when similar clinical symptoms are shared by various types of dementia. To date, the analysis of beta-amyloid(1-42), total tau and phospho-tau-181 from cerebrospinal fluid (CSF) are the best biological markers to diagnose Alzheimer's disease and differentiate it from other forms of dementia with a high reliability and validity. This article reviews the use of CSF biomarkers and of putative blood-related markers.

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Year:  2007        PMID: 17612711     DOI: 10.1358/dot.2007.43.6.1067341

Source DB:  PubMed          Journal:  Drugs Today (Barc)        ISSN: 1699-3993            Impact factor:   2.245


  9 in total

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Authors:  Neeti Sharma; Anshika Nikita Singh
Journal:  J Clin Diagn Res       Date:  2016-07-01

Review 2.  Protein-based biomarkers in cerebrospinal fluid and blood for Alzheimer's disease.

Authors:  Yongyao Fu; Deming Zhao; Lifeng Yang
Journal:  J Mol Neurosci       Date:  2014-06-25       Impact factor: 3.444

Review 3.  Disease biomarkers in multiple sclerosis: potential for use in therapeutic decision making.

Authors:  Violaine K Harris; Saud A Sadiq
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

4.  Proteomic analysis of Alzheimer's disease cerebrospinal fluid from neuropathologically diagnosed subjects.

Authors:  Chera L Maarouf; Tracy M Andacht; Tyler A Kokjohn; Eduardo M Castaño; Lucia I Sue; Thomas G Beach; Alex E Roher
Journal:  Curr Alzheimer Res       Date:  2009-08       Impact factor: 3.498

5.  Systems medicine and the integration of bioinformatic tools for the diagnosis of Alzheimer's disease.

Authors:  Matej Orešič; Jyrki Lötjönen; Hilkka Soininen
Journal:  Genome Med       Date:  2010-11-15       Impact factor: 11.117

Review 6.  Identifying and validating biomarkers for Alzheimer's disease.

Authors:  Christian Humpel
Journal:  Trends Biotechnol       Date:  2010-10-23       Impact factor: 19.536

7.  MicroRNAs and Alzheimer's Disease Mouse Models: Current Insights and Future Research Avenues.

Authors:  Charlotte Delay; Sébastien S Hébert
Journal:  Int J Alzheimers Dis       Date:  2011-07-31

Review 8.  MicroRNAs -the next generation therapeutic targets in human diseases.

Authors:  Sakthivel Srinivasan; Subramanian Tamil Selvan; Govindaraju Archunan; Balazs Gulyas; Parasuraman Padmanabhan
Journal:  Theranostics       Date:  2013-11-29       Impact factor: 11.556

Review 9.  Proximate Mediators of Microvascular Dysfunction at the Blood-Brain Barrier: Neuroinflammatory Pathways to Neurodegeneration.

Authors:  Barry W Festoff; Ravi K Sajja; Luca Cucullo
Journal:  Biomed Res Int       Date:  2017-08-14       Impact factor: 3.411

  9 in total

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