Positive Correlation Between Beta-3-Adrenergic Receptor (<i>ADRB3</i>) Gene and Gout in a Chinese Male Population
Bibliographic record
Abstract
OBJECTIVE: The common polymorphism rs4994 [c. T387C, p. Trp64Arg (W64R)] of the lipolysis regulator beta-3-adrenergic receptor (ADRB3) was identified as a marker in the pathogenesis of hyperuricemia. As gout is characterized by elevated serum concentrations of uric acid, we investigated ADRB3 as a potential candidate for gout. METHODS: This was a prospective case-control study in a group of 421 male patients with gout and 312 gout-free male controls to genotype the single-nucleotide polymorphism rs4994 of ADRB3 gene. RESULTS: Our results showed that the C allele carrier confers a significantly higher risk for development of gout [chi-square = 4.91, df = 1, p = 0.027, OR 1.95 (adjusted by age, total cholesterol level, and body mass index), 95% CI 1.22-3.13 by dominant mode]. There was significantly higher uric acid level in carriers of the Arg64/Arg64 genotype in controls compared to non-carriers (480.5 mmol/l vs 315.0 mmol/l, respectively). CONCLUSION: ADRB3 rs4994 polymorphism is a potential candidate for the pathogenesis of gout in a male Chinese population.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".