The pleiotropic expression of the myotonic dystrophy protein kinase gene illustrates the complex relationships between genetic, biological and clinical covariates of male aging
Bibliographic record
Abstract
Aging is a complex process modulated by multiple interactions between environmental and genetic factors. Myotonic dystrophy (DM 1) is an autosomal dominant disorder caused by an unstable (CTG)n repeat expansion in the DM1 protein kinase (DMPK) gene. The affected male patients' life expectancy at birth (53.2 years) is more than two decades below that observed in most occidental populations. The DMPK gene expression is pleiotropic and includes the premature expression of several agerelated signs, symptoms and metabolic disturbances including hormonal dysfunctions, progressive decrease in muscular mass, presenile cataracts, alopecia, reduced alertness, insulin resistance, dyslipidemia, erectile dysfunction and hypogonadism. The aim of this study was to analyze the relationship between aging covariates and the severity of DM1 expression in 136 DM1 male subjects. DM1 clinical expression was assessed on a validated neuromuscular disability rating scale and was correlated with plasma total testosterone (rs = -0.31, p < 0.001), luteinizing hormone (LH) (rs = 0.52, p < 0.001) and follicle stimulating hormone (FSH) (rs = 0.54, p < 0.001) levels. Following LH releasing hormone stimulation, FSH and LH concentrations increased as a function of DM1 severity (p < 0.05). Muscular disability in DM1 was also positively associated with fasting plasma insulin and triglyceride concentrations (p < 0.05). The association of plasma apolipoprotein B and low-density lipoprotein cholesterol levels with DM1 was not linear across their distribution and tended to reflect cell membrane damage progression. These results suggest that DM1, a simple M endelian trait, can represent a valuable model to illustrate the complex relationships between variables associated with male aging.
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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 | 0.000 | 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) | 0.001 | 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".