The role of ferroptosis and oxidative stress in cognitive deficits among chronic schizophrenia patients: a multicenter investigation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Oxidative stress (OS) is crucial in schizophrenia (SCZ) pathology. Ferroptosis, a recently discovered cell death pathway linked to OS, might contribute to the development of SCZ. This study investigated the association between ferroptosis markers and cognitive impairments in chronic SCZ patients. A retrospective analysis was conducted on 204 chronic SCZ patients with cognitive deficits and 216 healthy controls (HC) matched for relevant characteristics. Plasma levels of ferroptosis and OS markers, including iron, ferritin (FE), transferrin (TF), glutathione peroxidase 4 (GPX4), long-chain acyl-CoA synthetase 4 (ACSL4), glutathione (GSH), sirtuin 1 (SIRT1), nuclear factor erythroid 2-related factor 2 (Nrf2), malondialdehyde (MDA), and superoxide dismutase (SOD) were measured. Standardized assessments like the positive and negative syndrome scale (PANSS), and Montreal Cognitive Assessment (MoCA) were used to evaluate psychiatric symptoms, and cognitive function. SCZ patients showed significant differences in markers compared to the HC group (P < 0.01). Multiple linear regression analysis revealed that decreased GSH and iron levels, along with elevated SOD levels, were significantly associated with the overall severity of psychiatric symptoms. Additionally, reduced GPX4 levels and increased ACSL4 and FE levels were significantly linked to negative symptoms and cognitive impairments. Notably, GPX4 emerged as a key predictor for cognitive function in abstraction and language domains. Our study revealed alterations in the altered plasma levels of GPX4, GSH, iron, ACSL4, FE, and SOD in chronic SCZ patients, which might indicate a close association between biomarkers of ferroptosis and OS and the psychiatric symptoms and cognitive deficits observed in these individuals.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it