The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Proteomic Discovery and Validation of Novel Fluid Biomarkers for Improved Patient Selection and Prediction of Clinical Outcomes in Alzheimer’s Disease Patient Cohorts
Open accessPreprint — published as 10.3390/proteomes10030026
Abstract
Alzheimer’s disease (AD) is an irreversible neurodegenerative disease characterized by progressive cognitive decline. The two cardinal neuropathological hallmarks of AD include buildup of cerebral β amyloid (Aβ) plaques and neurofibrillary tangles of hyperphosphorylated tau. The current disease-modifying treatments are still not effective enough to lower the rate of cognitive decline. The paucity of early detection and disease progression biomarkers also seems to present a major obstacle to AD drug development. The current established readouts based on expression levels of amyloid beta, tau and phospho tau have shown many discrepancies in patient samples when linked to disease progression. There is an urgent need to identify diagnostic and disease progression biomarkers from blood, CSF or other biofluids that can facilitate early detection of the disease and provide pharmacodynamic readouts for new drugs being tested in clinical trials. Advances in proteomic approaches using state-of-the-art mass spectrometry, are now being increasingly applied to study AD disease mechanisms, identify drug targets and novel disease biomarkers. In this report, we describe applications of the quantitative proteomic approaches for understanding AD pathophysiology, summarize the current knowledge gained from proteomic investigations of AD and discuss development and validation of new predictive and diagnostic disease biomarkers.
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Cites
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
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Metadata
- Authors
- Awasthi, S., Spellman, D. S., & Hatcher, N. G.
- Affiliations
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- Corresponding author
- Hatcher, Nathan Galen
- Venue
- Proteomes
- Publisher
- MDPI AG
- Published
- 2022-06-22
- Volume
- 10
- Issue
- 3
- Pages
- 26-26
- ISSN
- 2227-7382 (ISSN-L)
- PMC
- PMC9397030
- OpenAlex
- W4289313872
- Cited by
- 20
- References
- 2
- Citations by year
- 2026: 6 · 2025: 1 · 2024: 7 · 2023: 4 · 2022: 2
- FWCI
- 0.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Proteomes (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- Alzheimer's disease, disease biomarkers, proteomics, cerebrospinal fluid, blood biomarkers, early detection, disease progression, patient selection, clinical outcome prediction, amyloid-beta, tau protein, phosphorylated tau, drug development
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