Literature DB >> 23905901

Progress towards a consensus on biomarkers for Alzheimer's disease: a review of peripheral analytes.

Alan Rembach1, Tim M Ryan, Blaine R Roberts, James D Doecke, William J Wilson, Andrew D Watt, Kevin J Barnham, Colin L Masters.   

Abstract

Alzheimer's disease (AD) is the most common cause of dementia in the elderly population and attempts to develop therapies have been unsuccessful because there is no means to target an effective therapeutic window. CNS biomarkers are insightful but impractical for high-throughput population-based screening. Therefore, a peripheral, blood-based biomarker for AD would significantly improve early diagnosis, potentially enable presymptomatic detection and facilitate effective targeting of disease-modifying treatments. The various constituents of blood, including plasma, platelets and cellular fractions, are now being systematically explored as a pool of putative peripheral biomarkers for AD. In this review we cover some less known peripheral biomarkers and highlight the latest developments for their clinical application.

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Year:  2013        PMID: 23905901     DOI: 10.2217/bmm.13.59

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  7 in total

1.  Bayesian graphical network analyses reveal complex biological interactions specific to Alzheimer's disease.

Authors:  Alan Rembach; Francesco C Stingo; Christine Peterson; Marina Vannucci; Kim-Anh Do; William J Wilson; S Lance Macaulay; Timothy M Ryan; Ralph N Martins; David Ames; Colin L Masters; James D Doecke
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

2.  Modulation of amyloid-β aggregation by histidine-coordinating Cobalt(III) Schiff base complexes.

Authors:  Marie C Heffern; Pauline T Velasco; Lauren M Matosziuk; Joseph L Coomes; Constantine Karras; Mark A Ratner; William L Klein; Amanda L Eckermann; Thomas J Meade
Journal:  Chembiochem       Date:  2014-06-24       Impact factor: 3.164

Review 3.  Cerebrospinal fluid biomarkers of neurovascular dysfunction in mild dementia and Alzheimer's disease.

Authors:  Melanie D Sweeney; Abhay P Sagare; Berislav V Zlokovic
Journal:  J Cereb Blood Flow Metab       Date:  2015-04-22       Impact factor: 6.200

4.  Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer's disease
.

Authors:  Harald Hampel; Andrea Vergallo; Mohammad Afshar; Leyla Akman-Anderson; Joaquín Arenas; Norbert Benda; Richard Batrla; Karl Broich; Filippo Caraci; A Claudio Cuello; Enzo Emanuele; Marion Haberkamp; Steven J Kiddle; Alejandro Lucía; Mark Mapstone; Steven R Verdooner; Janet Woodcock; Simone Lista
Journal:  Dialogues Clin Neurosci       Date:  2019       Impact factor: 5.986

Review 5.  Guidelines for the standardization of preanalytic variables for blood-based biomarker studies in Alzheimer's disease research.

Authors:  Sid E O'Bryant; Veer Gupta; Kim Henriksen; Melissa Edwards; Andreas Jeromin; Simone Lista; Chantal Bazenet; Holly Soares; Simon Lovestone; Harald Hampel; Thomas Montine; Kaj Blennow; Tatiana Foroud; Maria Carrillo; Neill Graff-Radford; Christoph Laske; Monique Breteler; Leslie Shaw; John Q Trojanowski; Nicole Schupf; Robert A Rissman; Anne M Fagan; Pankaj Oberoi; Robert Umek; Michael W Weiner; Paula Grammas; Holly Posner; Ralph Martins
Journal:  Alzheimers Dement       Date:  2014-10-01       Impact factor: 21.566

6.  Altered proteolysis in fibroblasts of Alzheimer patients with predictive implications for subjects at risk of disease.

Authors:  Alessandra Mocali; Nunzia Della Malva; Claudia Abete; Vito Antonio Mitidieri Costanza; Antonio Bavazzano; Vieri Boddi; Luis Sanchez; Sandra Dessì; Alessandra Pani; Francesco Paoletti
Journal:  Int J Alzheimers Dis       Date:  2014-05-18

7.  Redox Proteomic Profiling of Specifically Carbonylated Proteins in the Serum of Triple Transgenic Alzheimer's Disease Mice.

Authors:  Liming Shen; Youjiao Chen; Aochu Yang; Cheng Chen; Liping Liao; Shuiming Li; Ming Ying; Jing Tian; Qiong Liu; Jiazuan Ni
Journal:  Int J Mol Sci       Date:  2016-04-12       Impact factor: 5.923

  7 in total

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