Differential expression of ISG20 in chronic hepatitis B patients and relation to interferon‐alpha therapy response
Bibliographic record
Abstract
The 20 kDa exonuclease encoded by the interferon-stimulated gene, ISG20, can inhibit the replication of hepatitis B virus (HBV), and may represent a clinically useful prognostic marker for response to interferon-alpha (IFN-α) antiviral therapy. The present study was designed to investigate the differential expression patterns of ISG20 in liver biopsy samples from treatment-naive patients with chronic hepatitis B and non-HBV infected controls and to determine the relation between the differential expression and IFN-α treatment outcome (responders vs. non-responders). HBV infection status was determined by measuring levels of hepatitis B surface antigen (HBsAg) by chemoluminescence immunoassay and of HBV DNA by real-time quantitative (q)PCR. ISG20 protein and mRNA expressions were assessed by immunohistochemistry and qPCR, respectively. Chronic hepatitis B responders showed significantly higher levels of ISG20 protein and mRNA expressions than either the chronic hepatitis B non-responders or the controls. Moreover, increased expression of ISG20 in both the nucleus and cytoplasm was correlated with positive response to IFN-α treatment. Thus, active transcription and translation of ISG20 may represent a marker to identify chronic hepatitis B patients likely to respond to IFN-α therapy. Prognostic clinical strategies based upon this marker may include genomic screening methods and immunohistochemical staining of liver biopsies.
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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 | 0.000 | 0.001 |
| 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 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".