IL28B genetic variation and treatment response in patients with hepatitis C virus genotype 3 infection
Bibliographic record
Abstract
UNLABELLED: Polymorphisms near the IL28B gene, which code for interferon (IFN)-λ3, predict response to pegylated interferon-α (PEG-IFN) and ribavirin treatment in hepatitis C virus (HCV) genotype 1 infected patients. Follow-up studies of the effect of IL28B gene in HCV non-genotype 1 infected patients have almost always used predominantly HCV genotype 2-infected or mixed genotype 2/3-infected cohorts with results partly conflicting with HCV genotype 1. We performed a retrospective analysis of 281 patients infected with HCV genotype 3 for association of response to therapy with IL28B polymorphisms. We found that the HCV genotype 1 responder genotypes at rs12979860 and rs8099917 did not associate with sustained virological response to PEG-IFN/ribavirin therapy. However, the responder genotypes of both SNPs showed association with rapid viral response measured at 4 weeks (rs12979860, P = 3 × 10(-5) ; rs8099917, P = 3 × 10(-4) ). In multivariate analysis, age (<40 years), baseline viral load (<4 × 10(5) IU/mL) and the responder genotypes of SNPs rs12979860 or rs8099917 remained significant independent predictors of rapid viral response to therapy. Furthermore, we show that IL28B polymorphisms are associated with relapse in patients who achieve rapid viral response to PEG-IFN/ribavirin therapy. The responder genotypes also showed association with markers of stage and activity of liver disease, namely high aspartate aminotransferase platelet ratio index (APRI, rs12979860, P = 0.018; rs8099917, not significant) and high alanine aminotransferase (ALT, rs12979860, P = 0.002; rs8099917, P = 0.001), in addition to a high baseline viral load (rs12979860, P = 1.4 × 10(-5) ; rs8099917, P = 7.3 × 10(-6) ). CONCLUSION: Polymorphisms near the IL28B gene show association with rapid viral response but not sustained viral response to PEG-IFN/ribavirin therapy in HCV genotype 3-infected patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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; 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".