Effect of Environmental Contaminants on Beta Cell Function
Bibliographic record
Abstract
There is an increasing concern that chemicals in the environment are contributing to the global rise in the prevalence of type 2 diabetes (T2D). However, there is limited evidence for direct effects of these chemicals on beta cell function. Therefore, the goals of this study were (1) to test the hypothesis that environmental contaminants can directly affect beta cell function and (2) examine mechanistic pathways by which these contaminants could affect beta cell function. Using mouse beta TC-6 cells, we examined the acute effects of 6 substances (benzo[a]pyrene, bisphenol A [BPA], propylparaben, methylparaben, perfluorooctanoic acid, and perfluorooctyl sulfone) on insulin secretion. Only BPA treatment directly affected insulin secretion. Furthermore, chronic exposure to BPA altered the expression of key proteins in the cellular and endoplasmic reticulum stress response. These data suggest that long-term BPA exposure may be detrimental to beta cell function and ultimately be an important contributor to the etiology of T2D.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".