Leukocyte Telomere Length: A Focus on Cerebrovascular Events
Bibliographic record
Abstract
Telomeres are specialized DNA structures located at the ends of chromosomes. Their length is reduced at each cell cycle, especially when the cumulative burden of oxidative stress is high. The purpose of this study was to determine the associations between telomere length and clinical and biological risk factors in ischemic stroke patients. A total of 215 stroke patients hospitalized in the Dijon, France, stroke unit were prospectively and continuously included from January to September, 2004. The telomere length measured from peripheral blood leukocytes--leukocyte telomere length (LTL)--was determined by real-time quantitative polymerase chain reaction. The results were compared with clinical and biological variables of interest collected at admission to find significant associations. Possible relationships between LTL and stroke subtypes were evaluated. A multiple regression that included all the variables significantly associated (p<0.20) with LTL in univariate analysis and age and subtypes of stroke confirmed a significant association with age (p<0.001), homocysteinemia (p=0,049), and levels of both antiphospholipid antibodies (p=0.019) and triglycerides (p=0.007). Linearity was verified and confirmed for each variable. The subtype of stroke did not significantly affect telomere length. We were able to highlight significant associations between LTL and certain cerebrovascular risk factors in a general population of stroke patients. These associations did not depend on the ischemic stroke subtype.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".