Quantitative Mechanistic Insights into Alzheimer’s Disease

This Research Topic focuses on the development and application of Quantitative Systems Pharmacology (QSP) modeling to advance our understanding of Alzheimer’s Disease (AD). The aim is to integrate diverse biological data to capture complex mechanisms underlying disease progression and treatment response. By leveraging QSP models, researchers can quantify interactions between genetic, molecular, and cellular processes implicated in AD. This approach facilitates robust simulations and predictions of treatment effects, offering a framework for hypothesis testing and drug development.

Current opinions emphasize the multifactorial nature of AD, involving amyloid-beta accumulation, tau protein pathology, neuroinflammation, and synaptic dysfunction. Researchers are encouraged to explore how these mechanisms interplay and influence disease trajectories. The integration of QSP modeling with experimental and clinical data holds promise for identifying novel therapeutic targets and optimizing existing treatments, ultimately contributing to precision medicine approaches in Alzheimer's care.

For comprehensive insights, this Research Topic will focus on the integration and application of QSP modeling in Alzheimer's research, spanning preclinical, clinical, and theoretical domains. We welcome articles addressing, but not limited to, the following themes:

Role of QSP in elucidating molecular and systemic interactions in AD
Innovative modeling strategies for AD progression and treatment response
Integrating experimental and clinical data with QSP models
Identifying therapeutic targets and optimizing treatment strategies
Predictive simulations to inform precision medicine approaches
Validation and refinement of QSP models in Alzheimer's care

This initiative seeks to foster collaborative research efforts, paving the way for impactful advancements in understanding and treating Alzheimer's Disease through quantitative modeling techniques.

Article types include Original Research, Review, Mini Review, Opinion, and Perspective.

Please note that submissions lacking experimental validation of in silico findings, with either new or published in vitro, in vivo, or clinical data, will not be considered.

Topic Editor Dr. Marissa Renardy is employed by GlaxoSmithKline. The other Topic Editors declare no competing interests with regard to the Research Topic subject.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Quantitative Systems Pharmacology, QSP, Alzheimer’s Disease, Amyloid-Beta Accumulation, Tau Protein Pathology, Neuroinflammation, Synaptic Dysfunction

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.