Mutations du facteur de transcription Tpitet différenciation hypophysaire
Bibliographic record
Abstract
Pituitary hormone-producing cells differentiate sequentially from a common epithelial primordium, Rathke's pouch, under the combinatorial action of a subset of tissue- and cell-restricted transcription factors. Some factors have been implicated in early events of pituitary induction and morphogenesis while other factors like Pit-1 and SF-1 have been associated with differentiation of particular lineages. In POMC-expressing cells, Pitx1, NeuroD1 and Tpit were shown to be important for cell specific transcription of the POMC gene. Since Tpit is exclusively expressed in pituitary POMC-expressing lineages, the corticotrophs and melanotrophs, we investigated the TPIT gene coding sequences in 17 patients presenting with congenital isolated ACTH deficiency (IAD). We demonstrated that human TPIT gene mutations cause a neonatal onset form of IAD (8/11), but not juvenile forms of this deficiency (0/6). In the absence of glucocorticoid replacement, IAD can lead to neonatal death by acute adrenal insufficiency. To assess the importance of Tpit in pituitary differentiation and function, we produced Tpit-null mice. Concordant with the human phenotype, Tpit-null mice have IAD : plasma ACTH is greatly reduced in these mice, their plasma corticosterone is undetectable and the adrenals are hypoplastic. Analysis of the pituitary in Tpit-null mice revealed multiple roles of this factor in cell differentiation. First, Tpit is a positive regulator for POMC cell differentiation. Tpit is also a negative regulator of the pituitary gonadotroph fate. Thus, Tpit operates as a molecular switch to orient differentiation of a common precursor towards either POMC or gonadotroph fate. A binary choice model of pituitary cell differentiation is presented.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".