Characterization and Measurement of the Plasma α- and β-Sex Hormone-Binding Globulin Paralogs in Salmon
Bibliographic record
Abstract
When the biochemical characteristics of coho salmon SHBG (csSHBG) plasma were examined, two different steroid-binding profiles were obtained corresponding to recombinant csSHBG-alpha and csSHBG-beta. These SHBG paralogs share only 24% sequence identity, and this explains their unique steroid-binding properties. Both proteins bind testosterone, but csSHBG-alpha also binds androstenedione (Kd = 2.8 nm) and ethinylestradiol with high affinity, whereas csSHBG-beta binds estradiol (Kd = 0.8 nm) preferentially. When analyzed by gel filtration, csSHBG-alpha displays the properties of a 153-kDa homodimer, whereas csSHBG-beta elutes as a 68-kDa monomer. The unique steroid-binding properties of csSHBG-alpha and csSHBG-beta allowed us to develop an assay for their measurements in immature (pre-smolt) and mature coho salmon blood. Plasma csSHBG-alpha levels were 3- to 4-fold higher than those of csSHBG-beta irrespective of developmental stage or sex and correlate with each other. The major site of csSHBG-alpha expression in pre-smolts and mature fish is the liver, but low levels of csSHBG-alpha mRNA are present in stomach/intestine of mature fish. In pre-smolts, high levels of csSHBG-beta mRNA are present in gills and ovary, whereas csSHBG-beta mRNA is most abundant in muscle and stomach/intestine of mature fish. Based on the differences in csSHBG-alpha and csSHBG-beta plasma levels and their tissue expression profiles, we conclude that gills and/or muscle contribute mainly to plasma SHBG-beta in coho salmon. The assays we have developed will enable studies of how SHBG-alpha/SHBG-beta biosynthesis is regulated throughout the salmonid life cycle and how they influence steroid hormone action in these fish.
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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) | 0.000 | 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".