Back

APOE4-induced patterned behavioral decline and neurodegeneration requires endogenous tau in a C. elegans model of Alzheimers disease

Pierce-Shimomura, J.; Cardona, E. A.; Wu, Z.; Bolton, B. M.; Sarinay Cenik, E.

2025-05-11 neuroscience
10.1101/2025.05.06.652574 bioRxiv
Show abstract

Alzheimers disease (AD) causes a characteristic spatiotemporal pattern of neurodegeneration, resulting in the loss of associated faculties such as cognition. The factors that account for this pattern of degeneration are unclear, as AD risk genes are numerous and often broadly expressed. Previously, we generated a model of AD using the nematode Caenorhabditis elegans in which the AD risk variant of apolipoprotein E, APOE4, is pan-neuronally expressed. We showed that HSN class motor neurons degenerate in early adult stage animals. Here, we expand on our past work by performing behavioral analyses to deduce the effect of APOE4 on the function of distinct neuronal circuits. We found evidence that APOE4 induces dysfunction of other neurons; this spatiotemporal pattern roughly correlates with endogenous levels of PTL-1, the C. elegans homolog of human MAPT also known as tau. Moreover, deletion of ptl-1 suppressed defects in multiple behaviors, suggesting broad protective effects across the nervous system including the HSN neurons. Lastly, we show that PTL-1 in the touch receptor neurons, where PTL-1 is most abundant, contributes non-cell autonomously for age-related axon dysmorphia and dysfunction of the HSN neurons. Our results suggest that C. elegans may provide a useful in vivo system to study how endogenous Tau acts downstream of APOE4 to cause progressive, patterned neurodegeneration.

Published in Disease Models & Mechanisms (predicted rank #3) · training set

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.