Evaluation of ApaI and FokI polymorphism of VDR gene and functional characterization in patients with fibromyalgia
Bibliographic record
Abstract
Abstract Introduction: Fibromyalgia (FM) is a syndrome of unknown origin characterized by several symptoms, and although its pathogenesis has not been completely elucidated, it seems to be related to inflammatory path-ways and neurochemical changes in the brain. Objective: To evaluate the association between BsmI, ApaI and FokI polymorphisms of the vitamin D receptor (VDR) gene, their polymorphisms, and clinical variables in women with and without FM. Methods: This is a case-control study composed of a group of 53 women with FM and another with 40 women without the disease. The McGill Pain Questionnaire, Fibromyalgia Impact Questionnaire, Pain Visual Analogue Scale and the sit-up test were applied. Real-time PCR was performed to analyze the ApaI and FokI polymorphism. Results: There was a statistical association between race, comorbidity and FM, where 78.4% of the individuals were white and had FM (p < 0.002) and 96.1% had some comorbidity (p < 0.001). Seventy-six point five percent (76.5%) of patients with FM underperformed in the sit-up test (p < 0.001). There was also an association between the genotypic and allele frequencies of the VDR and FM gene Apal and FokI polymorphisms (p < 0.001). In the VDR gene ApaI polymorphism, the CC genotype exhibited a higher frequency in women with FM, the C allele for the Apal polymorphism was 3.33 times more likely, and the FokI polymorphism was 10.9 times more likely to develop FM (p < 0,0001). Conclusion: Women with C allele for ApaI polymorphism are 3.33 times more likely to have FM (95%CI = 1.58-7.02; p = 0.0024), and in FokI polymorphism, the prevalence of T allele is 10.9 times greater (95% CI = 4.76-25.38; p < 0.0001). No significant associations were found in relation to BsmI polymorphism and frequency alleles (p = 0.062 and p = 0.078, respectively).
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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 | 0.001 | 0.000 |
| 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 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".