Urinary Phthalates and Leukocyte Telomere Length: An Analysis of NHANES 1999–2002
Bibliographic record
Abstract
The International Agency for Research on Cancer classified the di-2-ethylhexyl phthalate (DEHP) as "possibly carcinogenic to humans". In vitro studies reported that phthalate exposure resulted in induction of several nuclear transcription factors that are activators of telomerase reverse transcriptase (TERT) and telomerase activity of the human telomerase complex. The objective of this study was to determine whether there is an association between urinary phthalate metabolites [mono-ethyl phthalate (MEP), mono-butyl phthalate (MBP), mono-(2-ethyl)-hexyl phthalate (MEHP), and mono-benzyl phthalate (MBzP) and leukocyte telomere length (LTL) in the adult population of the National Health and Nutrition Examination Survey (NHANES) 1999-2002 (n=2472). After adjustment for potential confounders, participants in the 3rd and 4th quartiles of urinary MEHP had statistically significantly longer LTL (5.34%, 95% CI: 1.31, 9.53; and 7.14%, 95% CI: 2.94, 11.63; respectively) compared to the lowest quartile, with evidence of a dose-response relationship (p-trend=0.01). The association remained when the analyses were stratified by age groups (20-39years, 40-59years, and 60years and older), and sex. Furthermore, MBP and MBzP were associated with higher LTL in older participants. The age independent association between longer LTL and MEHP (a metabolite of DEHP) might suggest a possible role of MEHP as tumor promoter.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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 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".