<I>CYP7A1</I>, <I>BAAT</I> and <I>UGT1A1</I> polymorphisms and susceptibility to anti-tuberculosis drug-induced hepatotoxicity
Bibliographic record
Abstract
SETTING: Evidence indicates that the polymorphisms in genes involved in bile acid metabolism may play an important role in the development of anti-tuberculosis drug-induced hepatotoxicity (ATDH) in tuberculosis (TB) patients treated with anti-tuberculosis drugs. OBJECTIVE: To investigate the association between genetic variants of CYP7A1, BAAT and UGT1A1 and the risk of ATDH in a Chinese cohort. DESIGN: In this nested case-control study, 89 TB patients with ATDH and 356 matched ATDH-free TB patients constituted cases and controls, respectively. Genetic polymorphisms of CYP7A1, BAAT and UGT1A1 were determined using the TaqMan single-nucleotide polymorphism genotyping assay. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated using a conditional logistic regression model. RESULTS: Significant differences were found in genotype distributions of rs1457043 in CYP7A1 between patients with and those without ATDH (P = 0.014). Genotype and haplotype analysis showed that patients carrying an AG genotype of rs1457043 and G-C or G-A haplotypes of rs1457043-rs8192870 in CYP7A1 were at a higher risk of ATDH than those with GG genotype and A-C haplotype, with ORs of respectively 2.05 (95%CI 1.18-3.15) and 2.40 (95%CI 1.62-3.57). CONCLUSION: Genetic polymorphisms of CYP7A1 may be associated with susceptibility to ATDH in the Chinese population.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".