Literature DB >> 16556965

Biomarkers for Alzheimer's disease--clinical needs and application.

Douglas Galasko1.   

Abstract

Biomarkers for Alzheimer's disease have many diagnostic and therapeutic uses. They can be used to facilitate diagnosis, particularly early diagnosis and possibly presymptomatic diagnosis. In evaluating treatment aimed at modifying the course of AD, biomarkers can help to assess whether the drug is hitting a target or influencing disease mechanisms in the brain, and can help with dose-finding. In definitive clinical trails, biomarkers can be used as surrogate outcome measures. Progress has been made in investigating candidate biomarkers in cerebrospinal fluid and plasma. At present, cerebrospinal fluid levels of amyloid-beta, tau and phospho-tau come closest to meeting criteria proposed for useful biomarkers for diagnosis. Other biomarkers can provide insight into processes such as inflammation and oxidative damage. Unbiased and broad-based searches for novel biomarkers using proteomics have much potential. As efforts to diagnose and treat AD move towards earlier intervention and even towards prevention, biomarkers will gain significance as tools to aid research and ultimately clinical practice.

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Year:  2005        PMID: 16556965     DOI: 10.3233/jad-2005-8403

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  23 in total

Review 1.  Proteomics of human neurodegenerative diseases.

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Journal:  J Neuropathol Exp Neurol       Date:  2008-10       Impact factor: 3.685

Review 2.  Gold Nanoparticles for In Vitro Diagnostics.

Authors:  Wen Zhou; Xia Gao; Dingbin Liu; Xiaoyuan Chen
Journal:  Chem Rev       Date:  2015-06-26       Impact factor: 60.622

3.  Retinal alterations in mild cognitive impairment and Alzheimer's disease: an optical coherence tomography study.

Authors:  Francisco J Ascaso; Nancy Cruz; Pedro J Modrego; Raul Lopez-Anton; Javier Santabárbara; Luis F Pascual; Antonio Lobo; José A Cristóbal
Journal:  J Neurol       Date:  2014-05-21       Impact factor: 4.849

4.  Ameliorating effect of anti-Alzheimer's drugs on the bidirectional association between type 2 diabetes mellitus and Alzheimer's disease.

Authors:  Amira S Ahmed; Rehab M Elgharabawy; Amal H Al-Najjar
Journal:  Exp Biol Med (Maywood)       Date:  2017-05-23

5.  Quantitative plasma proteomic profiling identifies the vitamin E binding protein afamin as a potential pathogenic factor in SIV induced CNS disease.

Authors:  Gurudutt Pendyala; Sunia A Trauger; Gary Siuzdak; Howard S Fox
Journal:  J Proteome Res       Date:  2010-01       Impact factor: 4.466

6.  CSF multianalyte profile distinguishes Alzheimer and Parkinson diseases.

Authors:  Jing Zhang; Izabela Sokal; Elaine R Peskind; Joseph F Quinn; Joseph Jankovic; Christopher Kenney; Kathryn A Chung; Steven P Millard; John G Nutt; Thomas J Montine
Journal:  Am J Clin Pathol       Date:  2008-04       Impact factor: 2.493

Review 7.  Structural neuroimaging in the detection and prognosis of pre-clinical and early AD.

Authors:  Christine Fennema-Notestine; Linda K McEvoy; Donald J Hagler; Mark W Jacobson; Anders M Dale
Journal:  Behav Neurol       Date:  2009       Impact factor: 3.342

8.  Structural MRI biomarkers for preclinical and mild Alzheimer's disease.

Authors:  Christine Fennema-Notestine; Donald J Hagler; Linda K McEvoy; Adam S Fleisher; Elaine H Wu; David S Karow; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

9.  Liver proteome analysis in a rodent model of alcoholic steatosis.

Authors:  Billy W Newton; William K Russell; David H Russell; Shashi K Ramaiah; Arul Jayaraman
Journal:  J Proteome Res       Date:  2009-04       Impact factor: 4.466

10.  Liver proteomics in progressive alcoholic steatosis.

Authors:  Harshica Fernando; John E Wiktorowicz; Kizhake V Soman; Bhupendra S Kaphalia; M Firoze Khan; G A Shakeel Ansari
Journal:  Toxicol Appl Pharmacol       Date:  2012-11-29       Impact factor: 4.219

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