What question did this study set out to answer?

To identify novel mitophagy-inducing compounds using computational screening and evaluate their efficacy in mitigating Alzheimer's disease pathology across preclinical models.

January 6, 2022Nature Biomedical EngineeringOpen Access

Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow

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Authors

CXChenglong XieUniversity of Oslo XZXu‐Xu ZhuangUniversity of Macau ZNZhangming NiuLung Institute

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Implication

Preclinical screening reveals that machine learning-identified mitophagy inducers restore memory and reduce pathology in Alzheimer's models, suggesting defective mitophagy drives cognitive decline.

Key Points

To identify novel mitophagy-inducing compounds using computational screening and evaluate their efficacy in mitigating Alzheimer's disease pathology across preclinical models.
Screened a natural compound library using unsupervised machine learning that incorporated molecular vector representations, pharmacophore fingerprinting, and conformer fingerprinting.
Tested candidate compounds in nematode (Caenorhabditis elegans) and rodent models of Alzheimer's disease to measure neuronal survival, pathology, and memory.
Screening identified 18 candidate small molecules, highlighting kaempferol and rhapontigenin as two potent mitophagy inducers.
Both mitophagy inducers enhanced the survival and function of glutamatergic and cholinergic neurons, abrogated amyloid-beta and tau pathologies, and reversed memory loss across animal models.

Cite This Study

Xie et al. (2022) studied this question.

synapsesocial.com/papers/69d90355bfc0898f4bd17db5 https://doi.org/10.1038/s41551-021-00819-5

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Implication

Preclinical screening reveals that machine learning-identified mitophagy inducers restore memory and reduce pathology in Alzheimer's models, suggesting defective mitophagy drives cognitive decline.

Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow

Discussion

Member takes

Implication

Key Points

Cite This Study

Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow

Discussion

Member takes

Implication

Key Points

Cite This Study

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