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Record W2092147580 · doi:10.1155/2014/510257

Perturbation of the Hematopoietic Profile by Anabolic Androgenic Steroids

2014· article· en· W2092147580 on OpenAlexfundno aff
Jenny Mullen, Nina Gårevik, Jenny J. Schulze, Anders Rane, Linda Bergman, Lena Ekström

Bibliographic record

VenueJournal of Hormones · 2014
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsnot available
FundersWorld Anti-Doping Agency
KeywordsTestosterone (patch)Internal medicineEndocrinologyHemoglobinMedicineAnabolismChemistry

Abstract

fetched live from OpenAlex

Objective. The aim of this study was to investigate the hematopoietic profile in AAS abusers, during or short after their last abuse and approximately six months later. Moreover, we studied if supraphysiological doses of testosterone influence the concentration of hemoglobin and erythropoietin in healthy volunteers. Design and Methods . Subjects ( N = 31 ) were recruited through an antidoping hotline. The hematological profile was measured when the subjects entered the study and approximately 6 months later. Testosterone enanthate (500 mg) was administered to healthy volunteers ( N = 24 ). Gene expression was studied in human hek293 cells exposed to 1 μ M testosterone. Results. Decreased levels of hemoglobin, erythrocyte volume fraction, and erythrocyte counts were observed after 6 months without the use of AAS. Results in volunteers show that hemoglobin increased 3% four and 15 days after testosterone administration, whereas EPO was significantly increased by 38% four days after dose. Agreeingly, in vitro study shows that testosterone induces the mRNA level of EPO with 65% after 24-hour exposure. Conclusion . These results indicate that supraphysiological doses of testosterone may cause a perturbation in the hematopoietic profile. This is of interest in relation to the adverse cardiovascular effects observed in AAS abusers.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.231
Teacher spread0.224 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2014
Admission routes1
Has abstractyes

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