Impact of Interleukin 28B Genotype on the Virological Responses in Chronic Hepatitis C Treatment
Bibliographic record
Abstract
BACKGROUND: Interleukin (IL) 28B single nucleotide polymorphisms may play a role in the clearance of hepatitis C virus (HCV). We aimed to evaluate the treatment response of chronic HCV infection patients to pegile interferon (pegIFN) and ribavirin treatment with regard to IL28B rs12979860 C/T polymorphism. METHODS: A total of 186 patients (mean age, 55.6 ± 10 years; 65.1% female) who underwent pegIFN and ribavirin treatment for chronic HCV infection were studied. We analyzed demographics, HCV genotype, baseline alanine aminotransferase (ALT) levels, histopathological data, viral load before treatment and at 4, 12, 24, 48, and 72 weeks from the treatment start, and IL28B genotype. IL28B polymorphism was genotyped using polymerase chain reaction based restriction fragment length polymorphism (PCR-RFLP) in all the subjects. RESULTS: One hundred forty-five (86.8%) patients were infected with viral genotype 1b, and 13.2% were infected with viral genotype 4. The rates of C/C, C/T, and T/T genotypes were 22.6%, 52.7%, and 24.7% respectively. The percentage of patients with a viral load over 400,000 IU/mL was higher in the C/T group (P = 0.020). Of the patients, 44.6% provided sustained virological response (SVR) to pegIFN and ribavirin combination treatment. The frequency of T allele was 41% in patients with SVR, whereas 59% patients provided no response (P < 0.001). SVR was obtained in 66.7%, 42.9%, and 28.3% of CC, CT, and TT groups (P = 0.001). The rates of rapid virological response (RVR), early virological response (EVR), end-of-treatment response (ETR), and SVR were higher in the CC group than other groups (P = 0.216, P < 0.001, P = 0.001, P = 0.001, respectively). The relapse and null response (NR) rates were higher in TT group and partial response rate (PR) was higher in CT group. CONCLUSIONS: IL28B rs12979860 C/T gene polymorphism affects the response to antiviral treatment in the patients with chronic HCV genotypes 1b and 4 infections.
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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 | 0.001 | 0.002 |
| 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 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".