Short telomeres in patients with chronic schizophrenia who show a poor response to treatment
Bibliographic record
Abstract
OBJECTIVE: Telomere shortening has been observed in many human diseases, including atherosclerosis, cancer, aging syndromes, Alzheimer disease and vascular dementia. The present study aimed to investigate the mean telomere lengths of patients with schizophrenia. METHODS: We analyzed the lengths of telomeric DNA, comparing 2 groups of patients with schizophrenia (34 good responders and 34 poor responders). A control group of 76 healthy volunteers was also included. Blood samples were obtained, and telomere length was measured by Southern blot analysis on the mean length of terminal restriction fragment (TRF). RESULTS: Compared with the control group, a significant amount of telomere shortening was found in peripheral blood leukocytes from patients with schizophrenia who experienced poor response to antipsychotics (p < 0.001). CONCLUSION: Shortened telomere length in chronic schizophrenia may be a trait marker caused by oxidative stress, and the ensuing cellular dysfunction may be a factor contributing to the progressive deterioration in treatment-resistant 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".