Poor Diet Quality is Associated with Premature Senescence of the Immune System in Survivors of Childhood Acute Lymphoblastic Leukaemia
Bibliographic record
Abstract
Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer. Contributory factors such as inflammation and oxidative stress, in response to drug therapies, may induce premature aging and cellular senescence with a severe impact on cardiometabolic health. Premature immunoaging through cellular senescence can lead to lower thymic output of T-cell lymphocytes translated into lower circulating T-cell receptor excision circles (TRECs). We hypothesized TRECs levels are associated with diet quality and impacted by oxidative and inflammatory status in survivors of childhood ALL (cALL). Adolescents and young adults cALL survivors from the PETALE cohort (n = 241, 22.1 ± 6.3 years at diagnosis, 49.4% males) were assessed for TREC levels and adherence to six diet quality indexes. Healthy Diet Indicator (HDI) was associated with TREC levels (β = 50.0, p = 0.005, adjusted p = 0.03). Interleukin-6 (IL-6) and C-reactive protein (CRP) were found negatively associated with TREC levels (β = −80 and −80.1, p = 0.017 and 0.026, respectively) HDI. Further analysis revealed IL-6 and CRP to be moderating factors, but not mediators, of the association between HDI and TRECs. This study supports a positive impact of a healthy diet on premature aging of the immune system in survivors of cALL and unveils the moderating role of inflammation in this association.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".