Increased breath ethane and pentane concentrations in currently unmedicated patients with schizophrenia
Bibliographic record
Abstract
Schizophrenia is a common and debilitating mental illness. The disorder is thought to be developmental in origin, with oxidative stress being implicated as possible pathophysiological mechanism. Breath alkanes provide a non-invasive means to assess oxidative stress, with ethane levels reportedly increased in medicated patients with schizophrenia. It is possible, however, that the psychotropic medications used to treat the disorder result in elevated breath ethane levels. We have therefore measured the concentration of ethane and pentane, markers of oxidative stress, in the breath of currently unmedicated patients with schizophrenia. Alveolar breath samples were collected, applied to thermal desorption tubes, and analyzed using a combination of two-stage thermal de-sorption, gas chromatography and mass spectrometry. Compared to healthy controls ethane and pentane levels were found to be elevated in patients with schizophrenia, while levels of butane were normal. Our data support the notion that oxidative stress is increased in schizophrenia and that this is unlikely to be a consequence of antipsychotic medications. In addition, breath alkane analysis may represent a rapid and non-invasive means to monitor oxidative stress occurring in schizophrenia.
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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) | 0.001 | 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".