ArticleMolecular psychiatry2026
Identification of fluid endocannabinoid and sphingolipid biomarkers in schizophrenia. A machine learning approach toward clinical value.
Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
13 authors.
Funding
Abstract
Schizophrenia (SCZ) diagnosis relies on subjective clinical evaluation, with symptoms often overlapping between psychiatric conditions, hindering early intervention, and creating an urgent need for objective, accessible biomarkers. Lipids, especially endocannabinoid system (ECS) and sphingolipid metabolism members, are promising candidates given their implication in SCZ pathogenesis and measurability in accessible biofluids, with minimally invasive procedures. Our study conducted the first comprehensive crossover of endocannabinoids (eCBs) and sphingolipids in matched cerebrospinal fluid (CSF) and serum samples from antipsychotic-naïve SCZ patients (SCZ
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Registered trials
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