Developmental changes in the human GH receptor and its signal transduction pathways
Bibliographic record
Abstract
We previously reported the presence of functional human GH receptors (hGHRs) in the human fetal hepatocyte (FH) as early as the first trimester. Interestingly, fetal serum levels of hGH are in the acromegalic range, yet certain hGH-dependent factors are expressed at very low levels (IGF-I, IGF-binding protein-3), suggesting that fetal liver has limited responsiveness to hGH. To determine whether this is due to the fetal tissue levels of hGHR or factors in the hGH/hGHR axis that might influence hGHR function, we compared hGHR isoforms and downstream signaling proteins in FH versus human adult liver (HAL). Immunoprecipitation/immunoblotting (IB) analyses found similar precursor and mature hGHR forms while RT-PCR assays of truncated (T) hGHR(1-279), dominant negative for the full-length (FL) receptor, showed similar T/FL mRNA ratios in FH and HAL. IB demonstrated that Janus kinase (JAK) 2, signal transducers and activators of transcription (STAT(1, 3, 5A/B)), and suppressors of cytokine signaling (SOCS(1, 2, 3, cytokine-inducible SH2-containing protein (CIS))) proteins were detectable in all FH and HAL tested (12 weeks of fetal age to 60 years); the levels were similar (STAT5B) or lower (JAK2/STAT1/STAT3/STAT5A: 38-53%, SOCS/CIS: 58-76%) in FH compared with HAL. Our studies to date demonstrate that, during hepatocyte development, hGHR levels are lower in the fetal cells but the hGHR isoforms, including the relative amount of truncated versus FL, remain unchanged. The JAK2/STAT/SOCS signaling molecules are present in the FH as early as the first trimester. However, they are generally at <50% level in postnatal liver. These data suggest that low expression of both hGHR and major hGHR signaling components may explain the limited responsiveness of the fetal cells to the high circulating levels of hGH.
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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".