ArticleAlzheimer's & dementia (New York, N. Y.)
Understanding recent advances in non-amyloid/non-tau (NANT) biomarkers and therapeutic targets in Alzheimer's disease.
Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Machine learning-derived Alzheimer's disease dimensions: neuroanatomical, cognitive, clinical, functional, and genetic risk heterogeneity signatures.medRxiv : the preprint server for health sciences · 2026Article
- Alzheimer's Disease as a Multi-Layer Network Disorder: A Systems Biology Framework Integrating Multi-Omics Mechanisms.Biomedicines · 2026Review
- Anti-amyloid treatment in Alzheimer disease: updated implications for patients with cerebral amyloid angiopathy and other cerebrovascular conditions.Frontiers in neurology · 2026Review
- Translating blood-based biomarkers into Alzheimer's disease clinical practice: screening, diagnosis, and longitudinal monitoring.Frontiers in aging neuroscience · 2026Review
- The relationships between cerebrospinal fluid neurofilament light chain and hippocampal atrophy with cognitive decline.Journal of Alzheimer's disease : JAD · 2025Article
- Understanding recent advances in non-amyloid/non-tau (NANT) biomarkers and therapeutic targets in Alzheimer's disease.Alzheimer's & dementia (New York, N. Y.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The Alzheimer's disease (AD) research community continues to make great strides in expanding approaches for early detection and treatment of the disease, including recent advances in our understanding of fundamental AD pathophysiology beyond the classical targets: beta-amyloid and tau. Recent clinical trial readouts implicate a variety of non-amyloid/non-tau (NANT) approaches that show promise in slowing cognitive decline for people with AD. The Alzheimer's Association Research Roundtable (AARR) meeting held on December 13-14, 2022, reviewed the current state of NANT targets on underlying AD pathophysiology and their contribution to cognitive decline, the current data on a diverse range of NANT biomarkers and therapeutic targets, and the integration of NANT concepts in clinical trial designs. Participants also discussed the current definition of therapies that target underlying AD pathophysiology, what endpoints best define what is considered a meaningful change beyond the current approved definition for clinical efficacy, and how the recent NANT findings should inform the development of future guidelines for AD classification and personalized treatment strategies. Highlights: The Alzheimer's Association Research Roundtable (AARR) convened leaders from industry, academia, and government to review the current state of non-beta amyloid and non-tau (NANT) targets on underlying Alzheimer's disease (AD) pathophysiology.The totality of scientific and clinical evidence supports the hypothesis that emerging NANT targets play a role in cognitive decline and neurodegeneration in AD. New biomarkers based on NANT targets must be globally developed and implemented with specific consideration of fluid biomarkers as a cost-effective clinical option, to ensure better, more equitable treatment options for AD.
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What Socratic holds
Registered trials
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 Socratic graph.