Abstract 504: Telomere-based Assessment of Biological Age in Patients with Advanced Vascular Disease
Bibliographic record
Abstract
Introduction: Ascertaining the biological age of patients with advanced vascular disease could advance risk assessment and management. The extent to which telomeres shorten in leukocytes could be a marker of biological age because it reflects the accumulation of replication stresses imposed on leukocyte progenitors. However, because of wide, genetic variability in leukocyte telomere length (TL), a single leukocyte TL measurement does not reliably indicate telomere shortening. Hypothesis: We hypothesized that the difference in length of telomeres in “non-replicating” muscle-rich tissue and that of circulating leukocytes provides a patient-specific index of telomere shortening in patients with advanced vascular disease. Methods: TL in leukocytes, skeletal muscle, and right atrial cardiac muscle were measured from 134 patients undergoing coronary or thoracic aortic surgery, using quantitative polymerase chain reaction. Relationships between leukocyte TL or the muscle-leukocyte TL difference (ΔTL) and early post-operative outcomes were tested using Cox proportional hazard and binary logistic regression analyses. Results: Telomeres in cardiac muscle and skeletal muscle were significantly longer than those in leukocytes (p<0.001) but with synchrony among these measures in an individual (p<0.001). Leukocyte TL and skeletal muscle TL inversely correlated with chronological age (p<0.001) however cardiac muscle TL did not (p=0.283). There was no relationship between leukocyte TL and either the post-operative length of stay in the intensive care unit (ICU) or major complications. However, cardiac-leukocyte ΔTL was associated with length of ICU stay (hazard ratio 1.26, p=0.043) and post-operative complications (odds ratio 3.03, p=0.029). Conclusions: Right atrium-leukocyte ΔTL provides an index of telomere shortening and may inform outcomes in patients with advanced vascular disease. This two-component telomere measurement may reflect the biological age of individuals with chronic vascular disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".