Lysergic acid diethylamide induces increased signalling entropy in rats’ prefrontal cortex

Psychedelic drugs, including LSD, are being studied as potential treatments for psychiatric disorders like mood and substance use disorders. The 5-HT2A receptor is their main molecular target, and early research indicated effects on neuroplasticity genes. By analyzing RNA-sequencing data from the prefrontal cortex of rats chronically treated with LSD, the authors describe how psychedelics rewire gene co-expression networks, making them less centralized but more complex, with an overall increase in signaling entropy characteristic of highly plastic systems. This molecular-level signaling entropy mirrors the increased brain entropy observed in human neuroimaging studies, suggesting underlying mechanisms for higher-order phenomena. Network topology analysis identified potential transcriptional regulators and implicated different cell types in psychedelic activity.

Study at a glance

Abstract

Abstract Psychedelic drugs are gaining attention from the scientific community as potential new compounds for the treatment of psychiatric diseases such as mood and substance use disorders. The 5‐HT 2A receptor has been identified as the main molecular target, and early studies pointed to an effect on the expression of neuroplasticity genes. Analysing RNA‐seq data from the prefrontal cortex of rats chronically treated with lysergic acid diethylamide (LSD), we describe the psychedelic‐induced rewiring of gene co‐expression networks, which become less centralised but more complex, with an overall increase in signalling entropy typical of highly plastic systems. Intriguingly, signalling entropy mirrors, at the molecular level, the increased brain entropy reported through neuroimaging studies in human, suggesting the underlying mechanisms of higher‐order phenomena. Moreover, from the analysis of network topology, we identify potential transcriptional regulators and propose the involvement of different cell types in psychedelics’ activity. image