Serum Xenohormone activity and DNA integrity of Europeans and Inuits
Bibliographic record
Abstract
Background. The toxicological assessment of the lipophilic persistent organic pollutants (POPs), including PCBs, pesticides and dioxins, is complicated since individuals are exposed to a complex mixture of contaminants. Therefore we developed ex vivo cell systems to determine the actual integrated level of xenobiotic activity in the human serum fraction containing the POPs. Sperm DNA integrity is essential for the accurate transmission of genetic information and sperm DNA damage can cause decreased male fertility. The AIM was to determine the integrated serum xenobiotic activity of POPs. The estrogen receptor (ER), androgen receptor (AR) and aryl hydrocarbon receptor (AhR) activity levels were compared among study groups from Greenland (53 adult males) and Europe (247 males from Sweden, Warsaw and Kharkiv) and further evaluated for association to the serum POP proxy markers 2,2',4,4',5,5'-hexachlorobiphenyl (PCB-153) and 1,1-dichloro- 2,2-bis (p-chlorophenyl)-ethylene (p,p'-DDE) and sperm DNA. Results and Conclusions. No strong consistent correlations between serum xenobiotic activity and the two POP markers were found. However, using the sum of 14 PCBs and/or 10 organoclorine pesticides for analyses of Inuit data clear correlations were found. Thus, our data indicate that the selected POP markers alone can not predict the integrated serum xenobiotic activity. Significant different serum xenobiotic activities as well as levels of the POP proxy markers, DNA damage and %DFI were observed between Inuits and Europeans. For Inuits negative correlations between serum xenobiotic activities and DNA damage as well as %DFI were found, whereas for Europeans positive relations were seen. We suggest that the variation in serum xenobiotic activity reflects differences in POP exposure mixtures in context with genetic factors and/or life style factors. We believe that serum xenohormone activity can substantially contribute to the health assessment of chemical body burdens.
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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 | 0.000 |
| 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".