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A signaling signature distinguishes hallucinogenic from non-hallucinogenic psychedelics

Sandra M. Martin-Guerrero, Marco Taddei-Tardón, Jessica L Maltman, Sritanvi Potukanuma, Javier González-Maeso, Pedro R. Cutillas, Juan F López-Giménez

Translational Psychiatry September 1, 2026 DOI: 10.1038/s41398-026-04390-y (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Laboratory study Peer reviewed
Population Neural cells
Key points Chemically diverse serotonergic psychedelics induce a coordinated reorganization of phosphorylation patterns across many proteins, producing a signature that separates hallucinogenic compounds from non-hallucinogenic analogues. Hallucinogenic compounds, but not their analogues, enhance lactate accumulation through FOXK2 phosphorylation.

Abstract

Abstract Psychedelic drugs can induce intense changes in perception and thought, and some also promote long-lasting adaptations in brain circuits that are being explored for treatment of mood and anxiety disorders. How these compounds differ at the level of intracellular signaling, and how hallucinogenic drugs diverge from related non-hallucinogenic forms, is poorly understood. A central question is whether hallucinogenic serotonergic compounds are associated with intracellular signaling features that distinguish them from closely related non-hallucinogenic analogues. Here, we show that chemically diverse serotonergic psychedelics trigger a coordinated reorganization of phosphorylation patterns across many proteins in neural cells, and that this global response contains a distinct signature that separates hallucinogenic compounds from non-hallucinogenic counterparts of similar structure. We use phosphorylation of the glycolysis-regulating transcription factor FOXK2 as an example of biological follow-up from this signature and show that hallucinogenic compounds, but not their non-hallucinogenic analogues, enhance lactate accumulation. These findings indicate that hallucinogenic and non-hallucinogenic serotonergic compounds engage separable intracellular signalling architectures under defined in vitro conditions. The dataset is provided as a community resource to enable hypothesis generation and targeted mechanistic validation.

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