The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Current understanding of Alzheimer’s disease diagnosis and treatment
Open accessAbstract
Alzheimer’s disease is the most common cause of dementia worldwide, with the prevalence continuing to grow in part because of the aging world population. This neurodegenerative disease process is characterized classically by two hallmark pathologies: β-amyloid plaque deposition and neurofibrillary tangles of hyperphosphorylated tau. Diagnosis is based upon clinical presentation fulfilling several criteria as well as fluid and imaging biomarkers. Treatment is currently targeted toward symptomatic therapy, although trials are underway that aim to reduce the production and overall burden of pathology within the brain. Here, we discuss recent advances in our understanding of the clinical evaluation and treatment of Alzheimer’s disease, with updates regarding clinical trials still in progress.
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“However, both PET imaging and CSF analysis exhibit similar accuracy, and suggest that the optimum test for the diagnosis will depend upon patient/provider preference, cost and availability of facilities [37].”
From Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease (2020) · cites this paper as [37]
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“Current therapeutics to ameliorate and control the cognitive and behavioral symptoms by targeting the NMDA receptor prevent Ca2+ induced excitotoxicity [2, 9–11], and memantine was approved for this purpose in 2003.”
From Current therapeutics for Alzheimer’s disease and clinical trials (2024) · cites this paper as [10]
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Diagnostic and Statistical Manual of Mental Disorders
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Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814
Mechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
Albert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,643
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Two Phase 3 Trials of Bapineuzumab in Mild-to-Moderate Alzheimer's Disease
Salloway, S., Sperling, R., Fox, N. C., Blennow, K., Klunk, W., Raskind, M., Sabbagh, M., Honig, L. S., Porsteinsson, A. P., Ferris, S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1304839 · Cited by 1,960
Phase 3 Trials of Solanezumab for Mild-to-Moderate Alzheimer's Disease
Doody, R. S., Thomas, R. G., Farlow, M., Iwatsubo, T., Vellas, B., Joffe, S., Kieburtz, K., Raman, R., Sun, X., Aisen, P. S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1312889 · Cited by 1,668
Cited by
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Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease
Khan, S., Barve, K. H., & Kumar, M. S. (2020) · Current Neuropharmacology · doi:10.2174/1570159x18666200528142429 · Cited by 820
“However, both PET imaging and CSF analysis exhibit similar accuracy, and suggest that the optimum test for the diagnosis will depend upon patient/provider preference, cost and availability of facilities [37].”
BackgroundMolecular mechanisms of ferroptosis and their involvement in brain diseases
Costa, I., Barbosa, D. J., Benfeito, S., Silva, V., Chavarria, D., Borges, F., Remião, F., & Silva, R. (2023) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2023.108373 · Cited by 402
The role of astroglia in Alzheimer's disease: pathophysiology and clinical implications
Arranz, A. M., & De Strooper, B. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30490-3 · Cited by 334
Monteiro, A. R., Barbosa, D. J., Remião, F., & Silva, R. V. D. S. (2023) · Biochemical Pharmacology · doi:10.1016/j.bcp.2023.115522 · Cited by 375
The Microbiota–Gut–Brain Axis and Alzheimer’s Disease: Neuroinflammation Is to Blame?
Megur, A., Baltriukienė, D., Bukelskienė, V., & Burokas, A. (2020) · Nutrients · doi:10.3390/nu13010037 · Cited by 323
Metadata
- Authors
- Weller, J., & Budson, A.
- Affiliations
- Boston University (US)
- Corresponding author
- Weller, Jason
- Venue
- F1000Research
- Publisher
- F1000 Research Ltd
- Published
- 2018-07-31
- Volume
- 7
- Pages
- 1161
- ISSN
- 2046-1402 (ISSN-L)
- PMC
- PMC6073093
- OpenAlex
- W2885706121
- Cited by
- 1,083
- References
- 53
- Citations by year
- 2026: 67 · 2025: 155 · 2024: 147 · 2023: 176 · 2022: 221 · 2021: 194 · 2020: 92 · 2019: 29 · 2018: 2
- FWCI
- 12.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- F1000Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institute on Aging (P30AG013846)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- Alzheimer's disease, dementia, amyloid plaques, tau hyperphosphorylation, neurofibrillary tangles, biomarkers, diagnosis, symptomatic treatment, disease-modifying therapy, clinical trials, neurodegeneration
- MeSH terms
- Alzheimer Disease, Humans, Nerve Net, Amyloid beta-Peptides, tau Proteins
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