Literature DB >> 17614251

Serum biomarkers for Alzheimer's disease: proteomic discovery.

Dwight C German1, Prem Gurnani, Animesh Nandi, Harold R Garner, Wayne Fisher, Ramon Diaz-Arrastia, Padraig O'Suilleabhain, Kevin P Rosenblatt.   

Abstract

For Alzheimer's disease (AD), the most common neurodegenerative disease, there is no simple, cost-effective biomarker for disease identification. Using novel mass spectrometry (MS)-based techniques, and analysis of the albumin-enriched low molecular weight proteome, minute amounts of human serum were analyzed for the measurement of thousands of peptides and proteins in parallel. The mass spectrograms were then evaluated with a novel computer algorithm to identify spectral peaks that discriminate between samples from patients with and without AD. There are four peaks that distinguish AD from control subjects and AD subjects from those with Parkinson's disease (PD). Additionally, after analyzing data from a recently published study of AD and control subjects, we found three discriminating peaks in common with the four from our patient serum samples. The identification of these peptides/proteins, and their direct measurement in patient serum, may allow the development of a simple, cost-effective test for AD.

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Year:  2007        PMID: 17614251     DOI: 10.1016/j.biopha.2007.05.009

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  13 in total

Review 1.  Proteomic studies on the development of the central nervous system and beyond.

Authors:  Chenggang Zhang
Journal:  Neurochem Res       Date:  2010-06-25       Impact factor: 3.996

2.  U1 small nuclear ribonucleoprotein complex and RNA splicing alterations in Alzheimer's disease.

Authors:  Bing Bai; Chadwick M Hales; Ping-Chung Chen; Yair Gozal; Eric B Dammer; Jason J Fritz; Xusheng Wang; Qiangwei Xia; Duc M Duong; Craig Street; Gloria Cantero; Dongmei Cheng; Drew R Jones; Zhiping Wu; Yuxin Li; Ian Diner; Craig J Heilman; Howard D Rees; Hao Wu; Li Lin; Keith E Szulwach; Marla Gearing; Elliott J Mufson; David A Bennett; Thomas J Montine; Nicholas T Seyfried; Thomas S Wingo; Yi E Sun; Peng Jin; John Hanfelt; Donna M Willcock; Allan Levey; James J Lah; Junmin Peng
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-10       Impact factor: 11.205

3.  Assessing candidate serum biomarkers for Alzheimer's disease: a longitudinal study.

Authors:  Matthew Zabel; Matthew Schrag; Claudius Mueller; Weidong Zhou; Andrew Crofton; Floyd Petersen; April Dickson; Wolff M Kirsch
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

Review 4.  Blood-based biomarkers of Alzheimer's disease: challenging but feasible.

Authors:  Madhav Thambisetty; Simon Lovestone
Journal:  Biomark Med       Date:  2010-02       Impact factor: 2.851

5.  Saliva levels of Abeta1-42 as potential biomarker of Alzheimer's disease: a pilot study.

Authors:  Felix Bermejo-Pareja; Desiree Antequera; Teo Vargas; Jose A Molina; Eva Carro
Journal:  BMC Neurol       Date:  2010-11-03       Impact factor: 2.474

Review 6.  Biomarker discovery in neurodegenerative diseases: a proteomic approach.

Authors:  Min Shi; W Michael Caudle; Jing Zhang
Journal:  Neurobiol Dis       Date:  2008-09-26       Impact factor: 5.996

Review 7.  Biomarkers of Alzheimer's disease.

Authors:  Rebecca Craig-Schapiro; Anne M Fagan; David M Holtzman
Journal:  Neurobiol Dis       Date:  2008-10-28       Impact factor: 5.996

8.  Alzheimer's disease biomarkers in animal models: closing the translational gap.

Authors:  Jonathan J Sabbagh; Jefferson W Kinney; Jeffrey L Cummings
Journal:  Am J Neurodegener Dis       Date:  2013-06-21

Review 9.  Multiplex biomarkers in blood.

Authors:  Veer Bala Gupta; Ramani Sundaram; Ralph N Martins
Journal:  Alzheimers Res Ther       Date:  2013-06-25       Impact factor: 6.982

10.  Why Inclusion Matters for Alzheimer's Disease Biomarker Discovery in Plasma.

Authors:  Mostafa J Khan; Heather Desaire; Oscar L Lopez; M Ilyas Kamboh; Renã A S Robinson
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.160

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