Sex differences in skeletal muscle Phosphatase and tensin homolog deleted on chromosome 10 (PTEN) levels: A cross-sectional study
Bibliographic record
Abstract
Women have higher adiposity but maintain insulin sensitivity when compared to men. Phosphatase and tensin homolog deleted on chromosome 10 (PTEN) inhibits insulin signaling, but it is not known if PTEN regulate insulin resistance in a sex-specific manner. In this cross-sectional study, muscle biopsies from participants in the Molecular Study of Health and Risk in Ethnic Groups (Mol-SHARE) were used to test for sex differences in PTEN expression. Quantitative real-time PCR was performed to determine PTEN gene expression (n = 53), and western blotting detected total and phosphorylated PTEN protein (n = 36). Study participants were comparable in age and body mass index. Women had higher fat mass percentage compared to men (40.25 ± 9.9% in women versus 27.6 ± 8.8% in men; mean difference -0.18, 95%CI (-0.24, -0.11), p-value <0.0001), with similar HOMA-IR (2.46 ± 2.05 in men versus 2.34 ± 3.06 in women; mean difference 0.04; 95% CI (-0.12, 0.21), p-value 0.59). Women had significant downregulation of PTEN gene expression (p-value 0.01) and upregulation of PTEN protein phosphorylation (inactivation) (p-value 0.001) when compared to men after correction for age, ethnicity, HOMA-IR, fat mass and sex. We conclude that the downregulation of muscle PTEN may explain the retention of insulin sensitivity with higher adiposity in women compared to men.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".