Association of Attenuated Niacin Response With Inflammatory Imbalance and Prediction of Conversion to Psychosis From Clinical High-risk Stage
Bibliographic record
Abstract
Attenuated niacin responses and changes in cytokine levels have been reported in schizophrenia. However, prior studies have typically focused on schizophrenia, and little is known about the association between niacin response and inflammatory imbalance in clinically high-risk psychosis (CHR). This study aimed to assess the niacin response to inflammatory imbalance for association with conversion to psychosis within 2 years. ) and maximal minus minimal blood flow response (Span) values were calculated for each subject. Serum cytokine levels were measured using enzyme-linked immunosorbent assay. Individuals with CHR were then divided into converters (CHR-C, n = 15) and non-converters (CHR-NC, n = 45) to psychosis based on their 2-year follow-up clinical status. = .018), but this correlation was nonsignificant in the CHR-NC group. Our findings indicate a significant association between niacin response and psychosis conversion outcomes in individuals with CHR. Compared with peripheral inflammatory cytokines, the niacin response can better predict conversion, although there may be an intersection between the two in biological mechanisms.
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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 | 0.000 | 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 | 0.001 |
| 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".