The Relationship between Impaired Methylnicotinate Response and Oxidative Stress in Schizophrenia
Bibliographic record
Abstract
MNA response applied methylnicotinate (MNA) results in an arachidonic acid and cyclooxygenase-dependent vasodilatatory response which is diminished in patients with schizophrenia. This observation has been suggested to form the basis of a diagnostic test for the illness although the potential utility of such a procedure is diminished since the underlying mechanism is unclear. In this study we sought to discover if reduced MNA response in schizophrenia is related to increased oxidative stress i.e. whether or not the two measures are negatively correlated with each other. MNA response was assessed visually in 17 patients with schizophrenia and 16 healthy controls and compared to the extent of oxidative stress in each participant assessed by quantifying the lipid peroxidation product ethane in breath. Serum vitamin E, a lipid soluble antioxidant, concentrations was also assessed. While MNA response was correlated with breath ethane concentrations, the expected relationship between the two measures was not observed. Instead a positive relationship between them suggests that some patients with schizophrenia have impaired fatty acid utilization leading to both diminished lipid peroxidation and cyclo-oygenation. This was not related to vitamin E concentrations, however, suggesting that lipid soluble anti-oxidant availability did not underlie our findings. Our data shed further light on the mechanism of impaired MNA response in schizophrenia and support the notion that this occurs consequent to a change in lipid metabolism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".