BATReset Evidence Matrix
BATReset Matrix
This page provides a management-side evidence scan for mTOR, autophagy, and related biological cleanup pathways used in BATReset framework discussions.
It is a curated citation overview, not an exhaustive index of all reviewed literature. The focus is historical translation: foundational biology, neurodegeneration-era experimental work, and later framework-level monitoring context.
1960-2000 Foundational Context
This period established rapamycin and mTOR signaling as core biological pathways relevant to growth control, nutrient sensing, and cellular recycling logic that later informed autophagy-centered neurobiology work.
Historical review of rapamycin discovery and mechanism development.
PubMedLate-life rapamycin exposure and longevity-related pathway relevance.
DOI: 10.1038/nature082212001-2010 Translation into Neurodegeneration Models
Experimental work during this era strengthened the translational link between mTOR modulation, autophagy activation, and protein-burden biology in neurodegeneration-relevant model systems.
mTOR inhibition and autophagy-linked toxicity reduction in disease models.
DOI: 10.1038/ng1362Rapamycin-associated amyloid and cognition findings in an AD mouse model.
DOI: 10.1371/journal.pone.00099792011-2020 Biomarker and Framework Integration
This decade advanced preclinical biomarker framing and emphasized autophagy-related biology in broader neurodegeneration interpretation, supporting more structured longitudinal monitoring language.
Preclinical staging framework integrating biomarker-first context.
PubMedAutophagy pathway relevance across neurodegenerative disease biology.
DOI: 10.1038/nm.32322021-Present Observational and Framework Standardization
Recent years emphasize real-world monitoring frameworks, standardized interpretation language, and observational registry use for trend-learning rather than deterministic outcome claims.
BATophagy framework paper covering autophagy and clearance-system terminology.
DOI: 10.5281/zenodo.17755218Population-scale monitoring and observational framework context.
DOI: 10.5281/zenodo.17755196