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Record W2000202544 · doi:10.1159/000184763

Sex Steroids, Growth Hormone, Insulin-Like Growth Factor-1: Neuroendocrine and Metabolic Regulation in Puberty

2008· review· en· W2000202544 on OpenAlexaff
Nelly Mauras, Alan D. Rogol, Morey W. Haymond, Johannes D. Veldhuis

Bibliographic record

VenueHormone Research · 2008
Typereview
Languageen
FieldMedicine
TopicHypothalamic control of reproductive hormones
Canadian institutionsInstitute of Nutrition, Metabolism and Diabetes
Fundersnot available
KeywordsInternal medicineEndocrinologyAnabolismHormoneEstrogenBiologyGrowth factorTestosterone (patch)EndogenyInsulin-like growth factorMedicineReceptor

Abstract

fetched live from OpenAlex

UNLABELLED: The control of the onset of puberty involves the complex interaction of pituitary and gonadal hormones. At a preprogrammed time in a child's life there is an increase in the amplitude of GnRH pulses which triggers a cascade of events including increases in the amplitude of FSH and LH pulses, followed by marked increases in gonadal sex steroidal output, which in turn increases growth hormone (GH) and insulin-like growth factor-1 (IGF-1) production. Evidence suggests that there is an integral interaction between the endogenous opiate system and the hypothalamic-pituitary-gonadal axis, at least in the later stages of puberty in the male. Both androgenic and estrogenic hormones markedly increase GH production rates as measured by deconvolution models in the prepubertal human, and compelling data strongly suggest that it is indeed the estrogen which controls the feedback amplification of GH production during puberty even in the male. It appears that the prepubertal gonad is actively producing sex hormones which might be important in the control of GH production since early childhood. The translation of these neuroendocrine rhythms into distal metabolic actions is also reviewed. Utilizing isotopic tracer infusions of the essential amino acid leucine, studies clearly show a selective stimulation of whole body protein synthesis by both GH and IGF-1. GH, IGF-1 and androgenic hormones all increase in puberty, stimulating whole body protein anabolism during that period. However, we observed no protein-anabolic effect in the hypogonadal female given increasing doses of estrogen. The latter suggests that at least as it pertains to whole body protein effects, the action of androgens is probably mediated via the androgen and not the estrogen receptor, in clear distinction from the estrogen-mediated effects of androgens on the neuroendocrine axis. Calcium absorption and retention are also positively affected by the androgens as shown by significant increases in calcium absorption and retention after the administration of testosterone to the prepubertal male. This suggests an important role of sex steroidal hormones in the mineralization of the skeleton. IN CONCLUSION: GH, IGF-1 and sex steroids all markedly increase during puberty and their actions are amplified mutually as they control growth, increase muscle mass and affect the mineralization of the skeleton. The dichotomy of androgen and estrogen effects in the male and female may regulate the differential timing of the onset of puberty and final height in the two sexes. The synergistic actions of these anabolic hormones appear to be most significant during the finite years of puberty.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.095
GPT teacher head0.368
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations224
Published2008
Admission routes1
Has abstractyes

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