Back

ACSS2 mediates prenatal alcohol exposure-related morphological and behavioral phenotypes

Dodson, K. M.; Periandri, E. M.; Yadav, A.; Lopes, M.; Barfield, A. J.; Ola, A.; de Luna Vitorino, F. N.; Cearlock, C.; Garcia, B. A.; Hill, C.; Maloney, S. E.; Egervari, G.

2025-12-01 neuroscience
10.1101/2025.11.26.690774 bioRxiv
Show abstract

The metabolic enzyme Acetyl-CoA Synthetase 2 (ACSS2) recently emerged as an unexpected regulator of molecular and behavioral changes associated with alcohol use. Its role during prenatal exposure, however, remains unknown. Here, we use a combination of proteomic, genomic and behavioral approaches to establish ACSS2 as a key mediator of prenatal alcohol exposure-related phenotypes. We define the developmental window during which ACSS2 translocates to nuclei in the mouse brain, and show that alcohol-derived acetate is incorporated into fetal brain histone acetylation in utero. Using genetically engineered mice not expressing ACSS2, we demonstrate that loss of this enzyme attenuates chronic prenatal alcohol exposure-induced craniofacial abnormalities, motor function deficits, cognitive impairments as well as associated chromatin and gene expression changes in the dorsal hippocampus and the cerebellar vermis. Our results outline a previously unknown mechanism underlying prenatal alcohol exposure-related phenotypes regulated by ACSS2, which will inform the development of future therapeutic interventions. HIGHLIGHTSO_LIACSS2 translocates to nuclei during in utero brain development C_LIO_LIAlcohol-derived acetate is incorporated into fetal brain histone acetylation C_LIO_LIPrenatal alcohol exposure results in long-lasting and ACSS2-dependent chromatin and gene expression changes in the hippocampus and cerebellar vermis C_LIO_LILoss of ACSS2 attenuates molecular changes, craniofacial abnormalities and cognitive impairments linked to prenatal alcohol exposure C_LI

Published in Neurobiology of Disease (predicted rank #11) · training set

Matching journals

The top 6 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.