Hepatitis B Virus Induces a Novel Inflammation Network Involving Three Inflammatory Factors, IL-29, IL-8, and Cyclooxygenase-2
Bibliographic record
Abstract
Chronic inflammation induced by hepatitis B virus (HBV) is a major causative factor associated with the development of cirrhosis and hepatocellular carcinoma. In this study, we investigated the roles of three inflammatory factors, IL-8, IL-29 (or IFN-λ1), and cyclooxygenase-2 (COX-2), in HBV infection. We showed that the expression of IL-29, IL-8, and COX-2 genes was enhanced in HBV-infected patients or in HBV-expressing cells. In HBV-transfected human lymphocytes and hepatocytes, IL-29 activates the production of IL-8, which in turn enhances the expression of COX-2. In addition, COX-2 decreases the production of IL-8, which in turn attenuates the expression of IL-29. Thus, we proposed that HBV infection induces a novel inflammation cytokine network involving three inflammatory factors that regulate each other in the order IL-29/IL-8/COX-2, which involves positive regulation and negative feedback. In addition, we also demonstrated that COX-2 expression activated by IL-8 was mediated through CREB and C/EBP, which maintains the inflammatory environment associated with HBV infection. Finally, we showed that the ERK and the JNK signaling pathways were cooperatively involved in the regulation of COX-2. We also demonstrated that IL-29 inhibits HBV replication and that IL-8 attenuates the expression of IL-10R2 and the anti-HBV activity of IL-29, which favors the establishment of persistent viral infection. These new findings provide insights for our understanding of the mechanism by which inflammatory factors regulate each other in response to HBV infection.
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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 | 0.000 |
| 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".