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The Control of Bone Growth by Parathyroid Hormone, Leptin, & Statins

2002· review· en· W2040325888 on OpenAlexaff
J. F. Whitfield, Paul Morley, Gordon E. Willick

Bibliographic record

VenueCritical Reviews in Eukaryotic Gene Expression · 2002
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBone Metabolism and Diseases
Canadian institutionsNational Research Council CanadaInstitute for Biological Sciences
Fundersnot available
KeywordsParathyroid hormoneLeptinEndocrinologyGrowth hormoneInternal medicineChemistryHormoneMedicineCalciumObesity

Abstract

fetched live from OpenAlex

There is a need for anabolic drugs that can stimulate bone growth, improve bone microarchitecture, accelerate fracture healing and thus restore bone strength to oteoporotics. The anabolic agents currently leading the way to the clinic are the parathroid hormone (PTH) and some of its adenylyl cyclase-stimulating fragments. Here we discuss what is known about the genes and their products that are stimulated by PTHR1 receptor signals and in four ways cause a large accumulation of bone-building osteoblasts. We will also discuss the currently controversial anabolic activity of the cholesterol-lowering statins and outline a possible mechanism by which they might stimulate BMP-2 expession and bone growth. Finally, we will present the growing evidence for the body's "fat-o-stat" cytokine-leptin-indirectly restraining bone growth via a hypothalamic factor and at the same serving as a local autocrine/paracrine stimulator of osteoblast activity via IGF-I and an inhibitor of osteoclast generation by stimulating osteoblastic cells' antiosteoclast OPG (osteoprotegerin) expression and reducing their proosteoclast RANKL expression.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.645
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.328
Teacher spread0.297 · 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.

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

Citations15
Published2002
Admission routes1
Has abstractyes

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