Molecular Mechanisms and Drug Research in Alzheimer’s Disease
A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Molecular Medicine".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 52
Special Issue Editor
Interests: aging; exposome and exposomics; Alzheimer’s disease; Parkinson’s disease; depression; artificial intelligence; machine and deep learning; big data analytics; blockchain; stigma; socially assistive robotics; virtual/augmented/mixed reality; cancer
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Alzheimer's disease (AD) remains a devastating senile dementia, characterized by progressive cognitive decline and neuronal demise. Despite extensive research, its complex and multifactorial pathogenesis—involving Ab amyloid plaques, neurofibrillary tangles (NFTs), neuroinflammation, synaptic dysfunction, genetic factors, etc.—is not fully understood. This incomplete mechanistic picture significantly hinders the development of truly effective disease-modifying therapies, as evidenced by the limited success of current treatments and many clinical trial setbacks. This Special Issue focuses on advancing our understanding of the molecular mechanisms underpinning AD etiopathogenesis and translating this knowledge into innovative therapeutic strategies. We invite original research articles, reviews, and perspectives that delve into novel signaling pathways, protein misfolding and aggregation, genetic and epigenetic regulators, mitochondrial dysfunction, glial cell contributions, synaptic integrity, dysbiosis, oxidative stress, neuroinflammation, metal homeostasis, the roles of the lood–brain barrier (BBB) and gut-brain axis, and so on. A core emphasis will be placed on translational research highlighting novel drug targets; the development and preclinical and clinical evaluation of small molecules, biologics, or repurposed drugs; biomarkers for therapeutic response; and innovative drug delivery approaches. The goal is to integrate novel findings and cutting-edge technologies, such as AI-based techniques, and accelerate the pipeline from mechanistic discovery to promising AD therapeutic candidates.
Dr. Xudong Huang
Guest Editor
Manuscript Submission Information
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Keywords
- Alzheimer's disease
- molecular mechanisms
- drug discovery
- Aβ amyloid
- tau protein
- neuroinflammation
- oxidative stress
- metal homeostasis
- blood–brain barrier
- dysbiosis
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