Literature DB >> 24121966

Candidate blood proteome markers of Alzheimer's disease onset and progression: a systematic review and replication study.

Steven J Kiddle1, Martina Sattlecker, Petroula Proitsi, Andrew Simmons, Eric Westman, Chantal Bazenet, Sally K Nelson, Stephen Williams, Angela Hodges, Caroline Johnston, Hilkka Soininen, Iwona Kłoszewska, Patrizia Mecocci, Magda Tsolaki, Bruno Vellas, Stephen Newhouse, Simon Lovestone, Richard J B Dobson.   

Abstract

A blood-based protein biomarker, or set of protein biomarkers, that could predict onset and progression of Alzheimer's disease (AD) would have great utility; potentially clinically, but also for clinical trials and especially in the selection of subjects for preventative trials. We reviewed a comprehensive list of 21 published discovery or panel-based (> 100 proteins) blood proteomics studies of AD, which had identified a total of 163 candidate biomarkers. Few putative blood-based protein biomarkers replicate in independent studies but we found that some proteins do appear in multiple studies; for example, four candidate biomarkers are found to associate with AD-related phenotypes in five independent research cohorts in these 21 studies: α-1-antitrypsin, α-2-macroglobulin, apolipoprotein E, and complement C3. Using SomaLogic's SOMAscan proteomics technology, we were able to conduct a large-scale replication study for 94 of the 163 candidate biomarkers from these 21 published studies in plasma samples from 677 subjects from the AddNeuroMed (ANM) and the Alzheimer's Research UK/Maudsley BRC Dementia Case Registry at King's Health Partners (ARUK/DCR) research cohorts. Nine of the 94 previously reported candidates were found to associate with AD-related phenotypes (False Discovery Rate (FDR) q-value < 0.1). These proteins show sufficient replication to be considered for further investigation as a biomarker set. Overall, we show that there are some signs of a replicable signal in the range of proteins identified in previous studies and we are able to further replicate some of these. This suggests that AD pathology does affect the blood proteome with some consistency.

Entities:  

Keywords:  Alzheimer's disease; biomarkers; blood; magnetic resonance imaging; nucleotide aptamers; proteome

Mesh:

Substances:

Year:  2014        PMID: 24121966     DOI: 10.3233/JAD-130380

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


  86 in total

1.  The Road Ahead to Cure Alzheimer's Disease: Development of Biological Markers and Neuroimaging Methods for Prevention Trials Across all Stages and Target Populations.

Authors:  E Cavedo; S Lista; Z Khachaturian; P Aisen; P Amouyel; K Herholz; C R Jack; R Sperling; J Cummings; K Blennow; S O'Bryant; G B Frisoni; A Khachaturian; M Kivipelto; W Klunk; K Broich; S Andrieu; M Thiebaut de Schotten; J-F Mangin; A A Lammertsma; K Johnson; S Teipel; A Drzezga; A Bokde; O Colliot; H Bakardjian; H Zetterberg; B Dubois; B Vellas; L S Schneider; H Hampel
Journal:  J Prev Alzheimers Dis       Date:  2014-12

2.  Identification of Plasma Proteome Signatures Associated With Surgery Using SOMAscan.

Authors:  Tamara G Fong; Noel Y Chan; Simon T Dillon; Wenxiao Zhou; Bridget Tripp; Long H Ngo; Hasan H Otu; Sharon K Inouye; Sarinnapha M Vasunilashorn; Zara Cooper; Zhongcong Xie; Edward R Marcantonio; Towia A Libermann
Journal:  Ann Surg       Date:  2021-04-01       Impact factor: 12.969

3.  Validation of a serum screen for Alzheimer's disease across assay platforms, species, and tissues.

Authors:  Sid E O'Bryant; Guanghua Xiao; Fan Zhang; Melissa Edwards; Dwight C German; Xiangling Yin; Tori Como; Joan Reisch; Ryan M Huebinger; Neill Graff-Radford; Dennis Dickson; Robert Barber; James Hall; Padraig O'Suilleabhain; Paula Grammas
Journal:  J Alzheimers Dis       Date:  2014       Impact factor: 4.472

Review 4.  Advances in targeted proteomics and applications to biomedical research.

Authors:  Tujin Shi; Ehwang Song; Song Nie; Karin D Rodland; Tao Liu; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2016-08       Impact factor: 3.984

5.  Blood-based biomarkers in Alzheimer disease: Current state of the science and a novel collaborative paradigm for advancing from discovery to clinic.

Authors:  Sid E O'Bryant; Michelle M Mielke; Robert A Rissman; Simone Lista; Hugo Vanderstichele; Henrik Zetterberg; Piotr Lewczuk; Holly Posner; James Hall; Leigh Johnson; Yiu-Lian Fong; Johan Luthman; Andreas Jeromin; Richard Batrla-Utermann; Alcibiades Villarreal; Gabrielle Britton; Peter J Snyder; Kim Henriksen; Paula Grammas; Veer Gupta; Ralph Martins; Harald Hampel
Journal:  Alzheimers Dement       Date:  2016-11-18       Impact factor: 21.566

6.  Validity and power of minimization algorithm in longitudinal analysis of clinical trials.

Authors:  Hua Weng; Randall Bateman; John C Morris; Chengjie Xiong
Journal:  Biostat Epidemiol       Date:  2017-06-13

Review 7.  Dementia registries around the globe and their applications: A systematic review.

Authors:  Karolina Krysinska; Perminder S Sachdev; John Breitner; Miia Kivipelto; Walter Kukull; Henry Brodaty
Journal:  Alzheimers Dement       Date:  2017-05-30       Impact factor: 21.566

Review 8.  The Alzheimer's Disease Neuroimaging Initiative 2 Biomarker Core: A review of progress and plans.

Authors:  Ju-Hee Kang; Magdalena Korecka; Michal J Figurski; Jon B Toledo; Kaj Blennow; Henrik Zetterberg; Teresa Waligorska; Magdalena Brylska; Leona Fields; Nirali Shah; Holly Soares; Robert A Dean; Hugo Vanderstichele; Ronald C Petersen; Paul S Aisen; Andrew J Saykin; Michael W Weiner; John Q Trojanowski; Leslie M Shaw
Journal:  Alzheimers Dement       Date:  2015-07       Impact factor: 21.566

Review 9.  Neurodegeneration and Alzheimer's disease (AD). What Can Proteomics Tell Us About the Alzheimer's Brain?

Authors:  Guillermo Moya-Alvarado; Noga Gershoni-Emek; Eran Perlson; Francisca C Bronfman
Journal:  Mol Cell Proteomics       Date:  2015-12-11       Impact factor: 5.911

10.  Application of Proteomics Profiling for Biomarker Discovery in Hypertrophic Cardiomyopathy.

Authors:  Yuichi J Shimada; Kohei Hasegawa; Stephanie M Kochav; Pouya Mohajer; Jeeyoun Jung; Mathew S Maurer; Muredach P Reilly; Michael A Fifer
Journal:  J Cardiovasc Transl Res       Date:  2019-07-05       Impact factor: 4.132

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