Identifying Androsterone (ADT) as a Cognate Substrate for Human Dehydroepiandrosterone Sulfotransferase (DHEA-ST) Important for Steroid Homeostasis
Bibliographic record
Abstract
In steroid biosynthesis, human dehydroepiandrosterone sulfotransferase (DHEA-ST) in the adrenals has been reported to catalyze the transfer of the sulfonate group from 3′-phosphoadenosine-5′-phosphosulfate to dehydroepiandrosterone (DHEA). DHEA and its sulfate play roles as steroid precursors; however, the role of the enzyme in the catabolism of androgens is poorly understood. Androsterone sulfate is clinically recognized as one of the major androgen metabolites found in urine. Here it is demonstrated that this enzyme recognizes androsterone (ADT) as a cognate substrate with similar kinetics but a 2-fold specificity and stronger substrate inhibition than DHEA. The structure of human DHEA-ST in complex with ADT has been solved at 2.7 Å resolution, confirming ADT recognition. Structural analysis has revealed the binding mode of ADT differs from that of DHEA, despite the similarity of the overall structure between the ADT and the DHEA binary complexes. Our results identify that this human enzyme is an ADT sulfotransferase as well as a DHEA sulfotransferase, implying an important role in steroid homeostasis for the adrenals and liver.
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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".