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Record W2029739139 · doi:10.3109/07435800009048560

Fetal Hypothalamic-Pituitary Adrenal (HPA) Development and Activation as a Determinant of the Timing of Birth, and of Postnatal Disease

2000· review· en· W2029739139 on OpenAlexaff
J Challis, D.M. Sloboda, Stephen G. Matthews, A.C. Holloway, Nadia Alfaidy, David Howe, Mhoyra Fraser, John P. Newnham

Bibliographic record

VenueEndocrine Research · 2000
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEndocrinologyInternal medicineFetusGlucocorticoidGlucocorticoid receptorGestationMedicineHypothalamic–pituitary–adrenal axisAdrenocorticotropic hormonePregnancyHormoneBiology

Abstract

fetched live from OpenAlex

Birth in most animal species is triggered by the fetus through activation of the fetal hypothalamic-pituitary-adrenal (HPA) axis. Preterm birth, may be associated with precocious activation of fetal HPA function, reflecting the fetal response to an adverse intrauterine environment. There is a progressive and concurrent increase of ACTH1-39 and cortisol (F) in the circulation of fetal sheep during the last 15-20 days of pregnancy (term, day 145-150) associated with increased expression of hypothalamic CRH pituitary POMC and adrenal ACTH receptor and steroidogenic enzymes, particularly P450 C17. Similar changes occur with fetal hypoxemia. Negative feedback is ameliorated by decreased pituitary and hypothalamic glucocorticoid receptor, increased CBG, and altered fetal pituitary 11B-hydroxysteroid dehydrogenase type 1. Repeated fetal hypoxemia, diminishes the fetal-pituitary ACTH response, but increases fetal adrenal responsiveness. Fetuses exposed to maternal glucocorticoid in late gestation are growth restricted with altered postnatal HPA responsiveness and glycemic responses that reproduce the insulin resistance of type 2 diabetes. We conclude that the level of fetal HPA activity is crucial not only for determining gestation length, but also predicts pathophysiologic adjustment in later life.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.939
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.119
GPT teacher head0.421
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations74
Published2000
Admission routes1
Has abstractyes

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