Literature DB >> 19906259

AddNeuroMed--the European collaboration for the discovery of novel biomarkers for Alzheimer's disease.

Simon Lovestone1, Paul Francis, Iwona Kloszewska, Patrizia Mecocci, Andrew Simmons, Hilkka Soininen, Christian Spenger, Magda Tsolaki, Bruno Vellas, Lars-Olof Wahlund, Malcolm Ward.   

Abstract

There is an urgent need for Alzheimer's disease (AD) biomarkers-especially in the context of clinical trials. Biomarkers for early diagnosis, disease progression, and prediction are most critical, and disease-modification therapy development may depend on the discovery and validation of such markers. AddNeuroMed is a cross European, public/private consortium developed for AD biomarker discovery. We report here the development and design of AddNeuroMed and the progress toward the development of plasma markers. Despite the obstacles to such markers, we have identified a range of markers including CFH and A2M, both of which have been independently replicated. The experience of AddNeuroMed leads us to three overall conclusions. First, collaboration is essential. Second, design is paramount and combining modalities, such as imaging and proteomics, may be informative. Third, animal models are valuable in biomarker research. Most importantly, we have learned that plasma markers are feasible.

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Year:  2009        PMID: 19906259     DOI: 10.1111/j.1749-6632.2009.05064.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  89 in total

Review 1.  Integrating ADNI results into Alzheimer's disease drug development programs.

Authors:  Jeffrey L Cummings
Journal:  Neurobiol Aging       Date:  2010-05-05       Impact factor: 4.673

2.  Genetics and brain morphology.

Authors:  Lachlan T Strike; Baptiste Couvy-Duchesne; Narelle K Hansell; Gabriel Cuellar-Partida; Sarah E Medland; Margaret J Wright
Journal:  Neuropsychol Rev       Date:  2015-03-14       Impact factor: 7.444

3.  Plasma biomarkers associated with the apolipoprotein E genotype and Alzheimer disease.

Authors:  Holly D Soares; William Z Potter; Eve Pickering; Max Kuhn; Frederick W Immermann; David M Shera; Mats Ferm; Robert A Dean; Adam J Simon; Frank Swenson; Judith A Siuciak; June Kaplow; Madhav Thambisetty; Panayiotis Zagouras; Walter J Koroshetz; Hong I Wan; John Q Trojanowski; Leslie M Shaw
Journal:  Arch Neurol       Date:  2012-10

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.  Targeted neurogenesis pathway-based gene analysis identifies ADORA2A associated with hippocampal volume in mild cognitive impairment and Alzheimer's disease.

Authors:  Emrin Horgusluoglu-Moloch; Kwangsik Nho; Shannon L Risacher; Sungeun Kim; Tatiana Foroud; Leslie M Shaw; John Q Trojanowski; Paul S Aisen; Ronald C Petersen; Clifford R Jack; Simon Lovestone; Andrew Simmons; Michael W Weiner; Andrew J Saykin
Journal:  Neurobiol Aging       Date:  2017-08-18       Impact factor: 4.673

6.  Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning.

Authors:  Simon F Eskildsen; Pierrick Coupé; Daniel García-Lorenzo; Vladimir Fonov; Jens C Pruessner; D Louis Collins
Journal:  Neuroimage       Date:  2012-10-02       Impact factor: 6.556

7.  Association of Klotho-VS Heterozygosity With Risk of Alzheimer Disease in Individuals Who Carry APOE4.

Authors:  Michael E Belloy; Valerio Napolioni; Summer S Han; Yann Le Guen; Michael D Greicius
Journal:  JAMA Neurol       Date:  2020-07-01       Impact factor: 18.302

8.  Evidence of altered phosphatidylcholine metabolism in Alzheimer's disease.

Authors:  Luke Whiley; Arundhuti Sen; James Heaton; Petroula Proitsi; Diego García-Gómez; Rufina Leung; Norman Smith; Madhav Thambisetty; Iwona Kloszewska; Patrizia Mecocci; Hilkka Soininen; Magda Tsolaki; Bruno Vellas; Simon Lovestone; Cristina Legido-Quigley
Journal:  Neurobiol Aging       Date:  2013-09-13       Impact factor: 4.673

9.  Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records.

Authors:  Sajjad Fouladvand; Michelle M Mielke; Maria Vassilaki; Jennifer St Sauver; Ronald C Petersen; Sunghwan Sohn
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2020-02-06

10.  Genome-wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology.

Authors:  Kwangsik Nho; Kelly Nudelman; Mariet Allen; Angela Hodges; Sungeun Kim; Shannon L Risacher; Liana G Apostolova; Kuang Lin; Katie Lunnon; Xue Wang; Jeremy D Burgess; Nilüfer Ertekin-Taner; Ronald C Petersen; Lisu Wang; Zhenhao Qi; Aiqing He; Isaac Neuhaus; Vishal Patel; Tatiana Foroud; Kelley M Faber; Simon Lovestone; Andrew Simmons; Michael W Weiner; Andrew J Saykin
Journal:  Alzheimers Dement       Date:  2020-08-05       Impact factor: 21.566

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