ReviewJournal of Alzheimer's disease : JAD2024
Amyloid-Directed Antibodies: Past, Present, and Future.
Review in Journal of Alzheimer's disease : JAD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Presynaptic accumulation of APP-CTFβ may contribute to synaptic dysfunction in Alzheimer's disease.The EMBO journal · 2026Article
- Class-level aggregation obscures clinically relevant heterogeneity in anti-amyloid antibody trials: comments on a Cochrane review by individual members of the EADC.The journal of prevention of Alzheimer's disease · 2026Article
- The evolving landscape of amyloid-targeting therapies in Alzheimer's disease: progress and challenges.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Structure and function of therapeutic antibodies approved by the US FDA in 2024.Antibody therapeutics · 2025Review
- New Insights into the Development of Donepezil-Based Hybrid and Natural Molecules as Multi-Target Drug Agents for Alzheimer's Disease Treatment.Molecules (Basel, Switzerland) · 2024Review
- On the Therapeutic Use of Monoclonal Antibodies Against Amyloid Plaques in Older Adults with Down Syndrome: A Narrative Review and Perspective.Brain sciences · 2024Review
- Trends and determinants of choline alfoscerate use in newly diagnosed Alzheimer's disease patients in Korea.Alzheimer's & dementia (New York, N. Y.)Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Background: Alzheimer's disease (AD) is the most common neurodegenerative disorder in patient demographics over 65 years old causing debilitating cognitive impairment. Most commonly, AD is diagnosed clinically as "probable AD", and definitive diagnosis is confirmed through postmortem brain autopsies to detect extracellular amyloid-β (Aβ) plaques and intraneuronal hyperphosphorylated tau tangles. The exact mechanism causing AD is still unknown, but treatments for AD have been actively investigated. Currently, immunotherapies have shown substantial promise in reducing the pathologic and clinical signs of AD. Objective: This review aims to evaluate passive immunotherapies deemed to have promise for further development and use in the treatment of AD. Methods: Immunotherapies were selected via a narrative review of medications that have potential clinical effectiveness with a status of FDA accepted, FDA fast-track, FDA status pending, or emerging therapies poised to pursue FDA approval. Results: This review has yielded two anti-Aβ monoclonal antibodies (mAb) that are currently fully FDA approved, one mAb granted FDA fast-track status, two therapies on hold, three discontinued medications, and three promising emerging therapies. Conclusions: We conclude that, in the near future, passive immunotherapies will be the preferred and evidence-based method of treatment for AD with the presence of brain Aβ deposits for both symptom management and potential slowing of disease progression. Specifically, lecanemab and donanemab will require further clinical studies to optimize patient selection based on safety profiles. Despite some key limitations, these two drugs are paving the way for disease-modifying treatments in patients displaying early signs of amyloid pathology.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.