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Record W4407387207 · doi:10.1093/ijnp/pyae059.089

THE PREVENTIVE EFFECTS OF ULTRA-MICRONIZED PALMITOYLETHANOLAMIDE (PEA) IN A PRECLINICAL MODEL OF SCHIZOPHRENIA

2025· article· en· W4407387207 on OpenAlexaff
Courtney Clarke, Stacy Donovan, S M Nageeb Hasan, Francis Rodriguez Bambico

Bibliographic record

VenueThe International Journal of Neuropsychopharmacology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPalmitoylethanolamideSchizophrenia (object-oriented programming)PharmacologyMedicinePsychiatryInternal medicineReceptorAntagonist

Abstract

fetched live from OpenAlex

Abstract Background Schizophrenia (SCZ) is a complex neurodevelopmental disorder with an early adult-onset, typically following multiple pathogenic factors, including neuroinflammatory events1. Current antipsychotics are insufficient at treating the full range of symptoms, posing the need for novel therapies. To date, the maternal immune activation (MIA) model has both high face and predictive validities, making it the most translatable model for preclinical work. The endocannabinoid (ECB) system is a target for novel interventions due to its role in neurodevelopment and regulating inflammatory processes; however, targeting the main brain cannabinoid receptor, CB1R, has proven ineffective2. Brain- wide CB2Rs are a novel target for SCZ treatment and prevention as they are known to regulate inflammatory processes that contribute to its pathology. Palmitoylethanolamide (PEA) is an endogenous fatty acid amide that binds to PPAR-alpha receptors to indirectly activate CB2R, triggering an anti- inflammatory cascade, regulating neuroinflammation3,4. Aims & Objectives This study investigates the potential protective effects of PEA and associated CB2 and PPAR-alpha-mediated mechanisms. We hypothesize that maternal lipopolysaccharide (LPS) exposure will induce juvenile behavioural deficits and mismatch negativity (MMN)5,6, and PEA administration prior to onset of adolescence will mitigate or block these deficits. Additionally, adolescent PEA treatment will result in the prevention of impaired ECB signaling, resulting in control levels of endogenous ECBs and proinflammatory cytokines. Method This project uses a mouse MIA model combined with stress activation during adolescence and detailed behavioural and brain analyses to investigate the effects of PEA. Prior to MIA, we used an acute MK-801 model to test whether oral PEA pretreatment in adult mice would prevent MK-801-induced deficits in auditory MMN measured by EEG. Brains were collected from dams following weaning and at three different time points for offspring: postnatal day (PND) 0, 20, and 70. Extracted brains will be used for ELISA cytokines analysis, mass spectroscopy measurement of ECB and endogenous PEA levels, and epigenetic analysis of genes encoding for CB2R, CB1R, and PPAR-alpha. Results PEA pretreatment prevented MK-801-induced MMN deficits in both male and female adult mice (p = 0.02). Offspring from dams administered LPS on gestation day 14.5 mice presented with social deficits (p = 0.02) and novel object recognition impairments (p = 0.03); meanwhile, PEA prevented these deficits, restoring behaviors to healthy control levels (p = 0.01). Female LPS-PEA mice displayed healthy control novel object recognition behavior (p = 0.02); however, did not prevent social deficits in LPS females (p >0.05). Preliminary EEG-MMN analysis indicates PEA prevented MMN deficits in adult MIA offpsring. Analysis of extracted brains is currently underway. Discussion & Conclusion SCZ is a debilitating mental illness that does not manifest its symptoms until late adolescence. With the identification of CHR youth, the importance of developing safe and effective preventive interventions is evident. This study has thus far provided promising data indicating SCZ typical behaviors in MK-801 and MIA mouse models can be prevented with oral PEA pretreatment. The outcome of this study could direct future research towards the discovery of safe and effective preventive interventions for SCZ. References [1]Arsenault, D., St-Amour, I., Cisbani, G., Rousseau, L. S., &Cicchetti, F. (2014). The different effects of LPS and poly I:C prenatal immune challenges on the behavior, development and inflammatory responses in pregnant mice and their offspring. Brain, Behaviour, and Immunity, 38(1), 77-90. [2]Malek, N., Popiolek-Barczyk, K., Mika, J., Przewlocka, B., &Starowicz, K. (2015). Anandamide, acting via CB2 receptors, alleviates LPS-induced neuroinflammation in rat primary microglial cultures. Neural Plasticity, 1-10. [3]Borrelli, F., Romano, B., Petrosino, S., Pagano, E., Capasso, R., Coppola, D., Battista, G., Orlando, P., Di Marzo, V., &Izzo, A. (2015). Palmitoylethanolamide, a naturally occurring lipid, is an orally effective intestinal anti-inflammatory agent. British Journal of Pharmacology, 172(1), 142-158. [4]Missault, S., Van den Eynde, K., Vanden Berghe, W., Fransen, E., Weeren, A., Timmermans, J. P., Kumar- Singh, S., &Dedeurwaerdere, S. (2014). The risk for behavioural deficits is determined by the maternal immune response to prenatal immune challenge in a neurodevelopmental model. Brain, Behaviour, and Immunity, 42(1), 138-146. [5]Nagai, T., Tada, M., Kirihara, K., Araki, T., Jinde, S., &Kasai, K. (2013). Mismatch negativity as a “translatable” brain marker toward early intervention for psychosis: a review. Frontiers in Psychiatry, 115(4), 1-10. [6]Tada, M., Kirihara, K., Mizutani, S., Uka, T., Kunii, N., Koshiyama, D., Fujioka, M., Usi, K., Nagai, T., Araki, T., &Kasai, K. (2019). Mismatch negativity (MMN) as a tool for translational investigations into early psychosis: a review. International Journal of Psychophysiology, 145(1), 5-14.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.347
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2025
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