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Record W4414207381 · doi:10.1192/j.eurpsy.2025.1164

Oxidative Stress and Cortical Thickness in the Psychosis Spectrum: Investigating Glutathione Metabolism and Antioxidant Defenses in Youth

2025· article· en· W4414207381 on OpenAlexaff
R. Moreno-Comellas, María Ortuño, Irene María Briones Martínez, Fabio Fesce, Elena de la Serna, J. Castro-Fornieles, Inmaculada Baeza, Gisela Sugranyes

Bibliographic record

VenueEuropean Psychiatry · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsCanadian Mennonite University
FundersInstituto de Salud Carlos III
KeywordsGlutathionePsychosisOxidative stressInsulaAntioxidantAntioxidant capacity

Abstract

fetched live from OpenAlex

Introduction Oxidative stress, particularly through disruptions in glutathione metabolism and Total Antioxidant Capacity (TAC), has been implicated in cortical thinning and other brain structural changes seen in psychosis. These changes may be more pronounced in the early psychosis spectrum, but this relationship remains underexplored. Objectives This study investigated the relationships between key oxidative stress markers—reduced glutathione (GSH), oxidized glutathione (GSSG), the GSH/GSSG ratio, and TAC—and cortical thickness in the cingulate, insula, and fronto-temporal brain regions. Methods A total of 57 youths on the early psychosis spectrum and 44 healthy controls participated, with a mean age of 15.51 years. There were no significant differences in age or sex between the groups. Cortical thickness was measured using MRI, and blood samples were analyzed for oxidative stress markers. Partial correlations were performed, controlling for total intracranial volume, age, and sex, to examine the relationships between oxidative stress markers and cortical thickness. A permutation analysis was then conducted to assess group differences in these associations. Results In healthy individuals, a higher GSH/GSSG ratio was significantly associated with increased cortical thickness in the right insula (r = 0.50, p < 0.05). Conversely, in the early psychosis spectrum group, there was a consistent trend of negative correlations between TAC and cortical thickness, particularly in the left frontal cortex. Permutation analysis revealed significant group differences in the association between GSH and cortical thickness in both the left insula and left temporal regions (p < 0.05). Additionally, TAC showed significant differences in its relationship with cortical thickness in the left and right frontal regions (p = 0.01 and p < 0.05), indicating asymmetrical oxidative stress involvement across hemispheres in the early psychosis spectrum group compared to healthy controls. Conclusions These findings suggest that oxidative stress markers, particularly related to glutathione metabolism and TAC, are linked to regional cortical thickness variations. The results highlight distinct oxidative stress effects in the early psychosis spectrum compared to healthy individuals, emphasizing the potential role of oxidative stress markers as early indicators of neuroanatomical changes in psychosis. Disclosure of Interest R. Moreno-Comellas: None Declared, M. Ortuño: None Declared, I. Martínez: None Declared, F. Fesce: None Declared, E. de la Serna: None Declared, J. Castro-Fornieles: None Declared, I. Baeza: None Declared, G. Sugranyes Grant / Research support from: This study has been funded by the Spanish Ministry of Health, Instituto de Salud Carlos III «Health Research Fund»/ FEDER funds (PI2100330, FORT23/00002_SUGR_G6) and La Marató TV3 (grant number 202232-30-31).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.263
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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Citations0
Published2025
Admission routes1
Has abstractyes

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