Identification of Extracellular Matrix Components and Their Integrin Receptors in the Human Fetal Adrenal Gland<sup>1</sup>
Bibliographic record
Abstract
The development of the human fetal adrenal gland is characterized by a gradient of mitotic activity, cell migration, and cell apoptosis, all of which dictate its particular function. Such plasticity may possibly be under the control of the extracellular environment. The goal of this study was to identify components of the extracellular matrix in second-trimester fetal adrenal glands. Whereas collagen IV was expressed evenly throughout the gland, both fibronectin and laminin demonstrated a mirror-imaged distribution, with higher expression of fibronectin in the central portion and laminin at the periphery of the gland. The integrin subunit alpha1 was found mainly in the definitive zone and the alpha2-subunit mainly in the transitional zone, whereas integrin alpha3 (which binds both fibronectin and laminin) was detected only in the fetal zone. The beta2-subunit was observed solely in chromaffin cells. Such specific gradients of integrin and MEC component expression suggest that the extracellular environment does play a definite role during adrenal gland development. Indeed, compared with that in untreated plastic dishes, ACTH stimulation of dehydroepiandrosterone sulfate and cortisol was enhanced by collagen IV. In addition, fibronectin enhanced dehydroepiandrosterone sulfate but decreased cortisol secretion, compared with collagen IV substrates. These results provide fundamental insight into the contribution of the microenvironment in cellular processes leading to fetal adrenal gland development.
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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".