Lista, S;
Zetterberg, H;
O'Bryant, SE;
Blennow, K;
Hampel, H;
(2017)
Evolving Relevance of Neuroproteomics in Alzheimer's Disease.
Neuroproteomics, Methods in Molecular Biology
, 1598
pp. 101-115.
10.1007/978-1-4939-6952-4_5.
Preview |
Text
Zetterberg_ListaEvolving.pdf - Accepted Version Download (664kB) | Preview |
Abstract
Substantial progress in the understanding of the biology of Alzheimer's disease (AD) has been achieved over the past decades. The early detection and diagnosis of AD and other age-related neurodegenerative diseases, however, remain a challenging scientific frontier. Therefore, the comprehensive discovery (relating to all individual, converging or diverging biochemical disease mechanisms), development, validation, and qualification of standardized biological markers with diagnostic and prognostic functions with a precise performance profile regarding specificity, sensitivity, and positive and negative predictive value are warranted.Methodological innovations in the area of exploratory high-throughput technologies, such as sequencing, microarrays, and mass spectrometry-based analyses of proteins/peptides, have led to the generation of large global molecular datasets from a multiplicity of biological systems, such as biological fluids, cells, tissues, and organs. Such methodological progress has shifted the attention to the execution of hypothesis-independent comprehensive exploratory analyses (opposed to the classical hypothesis-driven candidate approach), with the aim of fully understanding the biological systems in physiology and disease as a whole. The systems biology paradigm integrates experimental biology with accurate and rigorous computational modelling to describe and foresee the dynamic features of biological systems. The use of dynamically evolving technological platforms, including mass spectrometry, in the area of proteomics has enabled to rush the process of biomarker discovery and validation for refining significantly the diagnosis of AD. Currently, proteomics-which is part of the systems biology paradigm-is designated as one of the dominant matured sciences needed for the effective exploratory discovery of prospective biomarker candidates expected to play an effective role in aiding the early detection, diagnosis, prognosis, and therapy development in AD.
| Type: | Article |
|---|---|
| Title: | Evolving Relevance of Neuroproteomics in Alzheimer's Disease |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-1-4939-6952-4_5 |
| Publisher version: | http://doi.org/10.1007/978-1-4939-6952-4_5 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Alzheimer’s disease, Biomarkers, Blood, Cerebrospinal fluid, Detection/diagnosis, Mass spectrometry, Neuroproteomics, Omics sciences, Plasma/serum, Proteomics, Systems biology, Alzheimer Disease, Animals, Biomarkers, Humans, Proteome, Proteomics, Systems Biology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10057937 |
Archive Staff Only
 |
View Item |
