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Record W3093856274 · doi:10.1530/joe-20-0286

Liver at the nexus of rat postnatal HPA axis maturation and sexual dimorphism

2020· review· en· W3093856274 on OpenAlexafffund
Julia N. C. Toews, Geoffrey L. Hammond, Victor Viau

Bibliographic record

VenueJournal of Endocrinology · 2020
Typereview
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchUniversity of EdinburghFaculty of Medicine, University of British Columbia
KeywordsBiologyEndocrinologyInternal medicineSexual dimorphismEndocrine systemContext (archaeology)HormoneOntogenyAndrogen

Abstract

fetched live from OpenAlex

Normal function of the hypothalamic-pituitary-adrenal (HPA) axis is critical for survival, and its development is choreographed for age-, sex- and context-specific actions. The liver influences HPA ontogeny, integrating diverse endocrine signals that inhibit or activate its development. This review examines how developmental changes in the expression of genes in the liver coordinate postnatal changes in multiple endocrine systems that facilitate the maturation and sexual dimorphism of the rat HPA axis. Specifically, it examines how the ontogeny of testicular androgen production, somatostatin-growth hormone activities, and hypothalamic-pituitary-thyroid axis activity intersect to influence the hepatic gene expression of insulin-like growth factor 1, corticosteroid-binding globulin, thyroxine-binding globulin, 11β-hydroxysteroid dehydrogenase type 1 and 5α-reductase type 1. The timing of such molecular changes vary between mammalian species, but they are evolutionarily conserved and are poised to control homeostasis broadly, especially during adversity. Importantly, with the liver as their nexus, these diverse endocrine systems establish the fundamental organization of the HPA axis throughout postnatal development, and thereby ultimately determine the actions of glucocorticoids during adulthood.

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)0.000
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 score0.988
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.058
GPT teacher head0.324
Teacher spread0.266 · 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

Citations21
Published2020
Admission routes2
Has abstractyes

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