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Article type: Review Article
Authors: Polis, Baruh; * | Samson, Abraham O.
Affiliations: Bar-Ilan University Azrieli Faculty of Medicine, Safed, Israel
Correspondence: [*] Correspondence to: Baruh Polis, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel. E-mail: baruhpolis@gmail.com.
Abstract: Animal models, particularly transgenic mice, are extensively used in Alzheimer’s disease (AD) research to emulate key disease hallmarks, such as amyloid plaques and neurofibrillary tangles formation. Although these models have contributed to our understanding of AD pathogenesis and can be helpful in testing potential therapeutic interventions, their reliability is dubious. While preclinical studies have shown promise, clinical trials often yield disappointing results, highlighting a notable gap and disparity between animal models and human AD pathology. Existing models frequently overlook early-stage human pathologies and other key AD characteristics, thereby limiting their application in identifying optimal therapeutic interventions. Enhancing model reliability necessitates rigorous study design, comprehensive behavioral evaluations, and biomarker utilization. Overall, a nuanced understanding of each model’s neuropathology, its fidelity to human AD, and its limitations is essential for accurate interpretation and successful translation of findings. This article analyzes the discrepancies between animal models and human AD pathology that complicate the translation of findings from preclinical studies to clinical applications. We also delve into AD pathogenesis and attributes to propose a new perspective on this pathology and deliberate over the primary limitations of key experimental models. Additionally, we discuss several fundamental problems that may explain the translational failures and suggest some possible directions for more effective preclinical studies.
Keywords: Aging, Alzheimer’s disease, animal models, validity
DOI: 10.3233/JAD-240058
Journal: Journal of Alzheimer's Disease, vol. 98, no. 4, pp. 1199-1218, 2024
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