Propofol addiction drives neuronal senescence and cognitive decline via autophagy-mediated ADAR1/SIRT1 disruption

Propofol addiction represents a significant clinical challenge with no approved pharmacotherapy. While cognitive decline is a hallmark of substance use disorders, its underlying mechanisms in propofol addiction remain unclear. This study investigates whether propofol abuse induces neuronal senescence and cognitive impairment and explores the involved molecular pathways. We found that propofol administration in mice led to significant learning and memory deficits, which were associated with p16<sup>INK4a</sup>-dependent neuronal senescence in the hippocampus. Knockdown of p16<sup>INK4a</sup> alleviated both senescence and cognitive decline. Mechanistically, propofol triggered autophagic degradation of ADAR1 via LC3-binding motifs, leading to reduced SIRT1 expression and subsequent upregulation of p16<sup>INK4a</sup>. Both neuronal-specific and systemic inhibition of autophagy attenuated propofol-induced senescence, cognitive impairment, and addictive behaviors. Our findings reveal a novel ADAR1-SIRT1- p16<sup>INK4a</sup> pathway mediated by autophagy in propofol addiction, suggesting that targeting autophagy or senescence may offer therapeutic strategies for treating propofol use disorder.

Authors

Institutions

Publication Details

Journal
Communications Biology
Published
2025-12-22
DOI
https://doi.org/10.1038/s42003-025-09388-8
Primary Topic
Anesthesia and Neurotoxicity Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Propofol addiction drives neuronal senescence and cognitive decline via autophagy-mediated ADAR1/SIRT1 disruption

X F Wang, Jiahui Zhou, Wenhua Zhou, Zhiting Zou et al.
Communications Biology
Anesthesia and Neurotoxicity Research
article

Propofol addiction drives neuronal senescence and cognitive decline via autophagy-mediated ADAR1/SIRT1 disruption

X F Wang, Jiahui Zhou, Wenhua Zhou, Zhiting Zou, Xiaoyu Zhang, Ying Liu, Dan Zhu, Jianan Lv, Zizhen Si, Shounuo Lin
article en

Abstract

Propofol addiction represents a significant clinical challenge with no approved pharmacotherapy. While cognitive decline is a hallmark of substance use disorders, its underlying mechanisms in propofol addiction remain unclear. This study investigates whether propofol abuse induces neuronal senescence and cognitive impairment and explores the involved molecular pathways. We found that propofol administration in mice led to significant learning and memory deficits, which were associated with p16<sup>INK4a</sup>-dependent neuronal senescence in the hippocampus. Knockdown of p16<sup>INK4a</sup> alleviated both senescence and cognitive decline. Mechanistically, propofol triggered autophagic degradation of ADAR1 via LC3-binding motifs, leading to reduced SIRT1 expression and subsequent upregulation of p16<sup>INK4a</sup>. Both neuronal-specific and systemic inhibition of autophagy attenuated propofol-induced senescence, cognitive impairment, and addictive behaviors. Our findings reveal a novel ADAR1-SIRT1- p16<sup>INK4a</sup> pathway mediated by autophagy in propofol addiction, suggesting that targeting autophagy or senescence may offer therapeutic strategies for treating propofol use disorder.

Communications BiologyVol. 8(1)
Ningbo University (CN), Ningbo Kangning Hospital (CN), Ningbo College of Health Sciences (CN), Ningbo University Affiliated Hospital (CN), Attention Deficit Disorder Treatment Center (US)
Good health and well-being
Openalex Percentile: Top 30%
Anesthesia and Neurotoxicity Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.