[Study on polymorphisms of genes with susceptibility to drug induced liver injury in a cohort receiving anti-tuberculosis treatment].
Bibliographic record
Abstract
OBJECTIVE: To investigate the association between the polymorphisms of genes involving in drug metabolism and transport as well as immunological reaction and the risk of anti-tuberculosis drug-induced liver injury(ATLI)in Chinese. METHODS: This 1∶4 matched case-control study was conducted by using the data from a cohort study of Anti-tuberculosis Drugs Induced Adverse Reactions in National Tuberculosis Prevention and Control Progtam of China. Genes involving in three phase of drug metabolism and transport as well as related immunological reaction were chosen and single nucleotide polymorphisms(SNPs)were genotyped by TaqMan allele discrimination technology. Lasso regression and multivariate conditional logistic regression analysis were used to select susceptible genes. RESULTS: A total of 33 genes with 75 SNPs were tested. The combined results of Lasso and regression logistic regression analysis showed that genetic polymorphism of SLCO1B1 rs4149014, HSPA1L rs2227956, STAT3 rs1053023 and IL-6 rs2066992 were significantly associated with the risk of ATLI(P<0.05). CONCLUSION: SLCO1B1, HSPA1L, STAT3 and IL-6 might be the susceptibility genes of drug induced liver injury in patients receiving anti-tuberculosis treatment.
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 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 | 0.001 |
| 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) | 0.000 | 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".