Advancing Alzheimer's research by improving disease modeling of secondary tauopathy

通过改进继发性tau蛋白病疾病模型来推进阿尔茨海默病的研究。

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Abstract

Despite decades of mechanistic investigation of Alzheimer's disease (AD), wide gaps exist in disease modeling, particularly the pathobiological arm of tau pathology. Relying on transgenic models expressing mutated forms of tau has contributed much knowledge about primary tauopathy, yet with limited relevance to human AD. To eliminate blind spots for basic and translational research, we review recent developments in this area and discuss key refinements toward next-generation AD-relevant tauopathy modeling.

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