Major histocompatibility complex phenotypes influence serum testosterone concentration
Bibliographic record
Abstract
OBJECTIVES: (a) To confirm our earlier observation that the phenotype HLA-DR4,7 occurs with higher frequency in male patients with rheumatoid arthritis (RA) than in female patients. (b) To test the hypothesis that DR7 is associated with low normal serum testosterone (Te) levels in healthy males; this might explain the increased frequency of DR4,7 in male patients since there appears to be a relationship between low serum Te and RA. (c) To characterize the association between HLA alleles and serum Te concentration in healthy males. METHODS: An additional 82 Newfoundland (NF) RA patients were HLA-DR typed and, combined with our earlier data and data from the 11th International Histocompatibility Workshop, gave HLA-DR and sex information on 373 RA patients. Ninety-four healthy NF males were typed for HLA, the microsatellite marker TNFa (located close to the tumour necrosis factor alpha gene) and complement factor B (BF). An additional 38 males were included, selected partly based on their HLA-B type. RESULTS: We confirmed our earlier finding of a higher frequency of HLA-DR4,7 in male RA patients compared with female RA patients (P<0.01). Contrary to our expectations we found that DR7 was associated with higher than mean values of Te as were B5, B27, DR1, TNFa7 and BF F positivity. Conversely, low Te concentrations were found in men with B15, DR2, DR5, TNFa5 and who were BF F negative. In 28 male 'early-onset' RA patients we did not find an increased frequency of HLA alleles associated with low Te levels as compared with the frequency in 41 'late-onset' patients, suggesting that if low Te level is a risk factor and is present before onset of RA then the level cannot be explained by an association between Te level and major histocompatibility complex (MHC) phenotype. CONCLUSION: This study indicates that a man's MHC phenotype may influence his serum Te concentration, but the relationship of this, if any, to the pathogenesis of RA remains an area of speculation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".