Sex Hormone-Binding Globulin in Fish Gills Is a Portal for Sex Steroids Breached by Xenobiotics
Bibliographic record
Abstract
As in most vertebrates, plasma sex hormone-binding globulin (SHBG) is produced in fish liver and regulates sex steroid access to target tissues. Low levels of SHBG mRNA are present in zebra fish gills but are unlikely to account for the high amounts of immunoreactive SHBG in filaments and lamellae. Although the uptake of steroids by fish from water has been reported to correlate with their affinity for SHBG, it is not known how this occurs. Our studies of zebra fish SHBG have revealed its preference for biological active androgen (testosterone), as well as for androstenedione, a sex steroid precursor that also acts as a pheromone in some fish. In addition to natural steroids, zebra fish SHBG has a high affinity for synthetic steroids, such as ethinylestradiol and progestins (levonorgestrel and norethindrone), that are present in waste water systems. Because steroids can pass across fish gills, we examined whether SHBG serves as a portal for natural and synthetic steroids controlling their flux between the blood and aquatic environment. The results indicate that SHBG ligands are rapidly and specifically removed from water by the fish through their gills, whereas the accumulated steroids are released slowly. The capacity of fish to sequester SHBG ligands from water is similar between sexes, independent of size, and characterized by a wide dynamic range. We conclude that SHBG controls the flux of sex steroids across fish gills and that this highly specialized function can be hijacked by xenobiotic ligands of fish SHBGs.
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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 | 0.000 | 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".