Bacillus Subtilis Delays Neurodegeneration and Behavioral Impairment in the Alzheimer’s Disease Model Caenorhabditis Elegans

2020 ◽  
Vol 73 (3) ◽  
pp. 1035-1052 ◽  
Author(s):  
Sebastián Cogliati ◽  
Victoria Clementi ◽  
Marcos Francisco ◽  
Cira Crespo ◽  
Federico Argañaraz ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Bacillus Subtilis ◽  
Caenorhabditis Elegans ◽  
Disease Model ◽  
Behavioral Impairment

scholarly journals AIP-1 ameliorates β-amyloid peptide toxicity in a Caenorhabditis elegans Alzheimer's disease model

2009 ◽  
Vol 18 (15) ◽  
pp. 2739-2747 ◽  
Author(s):  
Wail M. Hassan ◽  
David A. Merin ◽  
Virginia Fonte ◽  
Christopher D. Link
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Caenorhabditis Elegans ◽  
Disease Model ◽  
Amyloid Peptide ◽  
Β Amyloid ◽  
Β Amyloid Peptide

scholarly journals Arrayed CRISPR reveals genetic regulators of tau aggregation, autophagy and mitochondria in Alzheimer’s disease model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lishu Duan ◽  
Mufeng Hu ◽  
Joseph A. Tamm ◽  
Yelena Y. Grinberg ◽  
Fang Shen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Drug Discovery ◽  
Disease Model ◽  
Mitochondrial Morphology ◽  
Individual Gene ◽  
Human Genes ◽  
Future Drug ◽  
Tau Aggregation

AbstractAlzheimer’s disease (AD) is a common neurodegenerative disease with poor prognosis. New options for drug discovery targets are needed. We developed an imaging based arrayed CRISPR method to interrogate the human genome for modulation of in vitro correlates of AD features, and used this to assess 1525 human genes related to tau aggregation, autophagy and mitochondria. This work revealed (I) a network of tau aggregation modulators including the NF-κB pathway and inflammatory signaling, (II) a correlation between mitochondrial morphology, respiratory function and transcriptomics, (III) machine learning predicted novel roles of genes and pathways in autophagic processes and (IV) individual gene function inferences and interactions among biological processes via multi-feature clustering. These studies provide a platform to interrogate underexplored aspects of AD biology and offer several specific hypotheses for future drug discovery efforts.

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