This work presents the Yaksh Chudasama Alzheimer’s Affected Protocol (YCAAP), a conceptual systems-level framework for understanding and stabilizing Alzheimer’s disease progression. The model reframes Alzheimer’s disease as a nonlinear, feedback-amplifying network involving interacting pathological domains, including endosomal–lysosomal dysfunction, impaired proteostasis, metal ion dyshomeostasis, oxidative stress, chronic neuroinflammation, neurotransmission failure, and environmental modulators. Rather than focusing on single-target therapeutic strategies, the framework proposes that coordinated, partial attenuation across multiple domains may reduce overall network instability and slow disease progression. A biomarker-guided stratification approach is additionally introduced to support adaptive prioritization of pathological axes. This manuscript is hypothesis-generating and intended for academic discussion and further investigation. The proposed framework requires empirical validation and should not be interpreted as clinical or therapeutic guidance.
Yaksh Chudasama (Tue,) studied this question.