Modified E2 glycoprotein of hepatitis C virus enhances pro-inflammatory cytokines and protective immune response in mice
Bibliographic record
Abstract
Abstract Hepatitis C virus (HCV) is characterized by a high number of chronic cases owing to an impairment of innate and adaptive immune responses. CD81 on the cell surface facilitates HCV entry by interacting with the E2 envelope glycoprotein. On the other hand, CD81/E2 binding on immune related cells may also influence host response outcome to HCV infection. Here, we performed site-specific amino acid substitution in the front layer of E2 sequence to reduce CD81 binding and evaluate HCV candidate vaccine potential. The altered sE2 protein (F442NYT), unlike sE2, displayed a significant reduction in CD81 binding, induced pro-inflammatory cytokines, and repressed anti-inflammatory response in primary monocyte-derived macrophages as antigen presenting cells. Further, sE2 F442NYT stimulated CD4 + T cell proliferation. Immunization of Balb/c mice with an E1/sE2 F442NYT RNA-lipid nanoparticle (LNP) displayed improved IgG1 to IgG2a isotype switching, an increase in HCV pseudotype virus neutralizing antibodies, and resistance to challenge infection with a surrogate recombinant vaccinia virus expressing HCV E1-E2-NS2 (aa134-966) , unlike parental E1/sE2 immunization. Further investigation on modified E2 antigen for selection as antigen may provide helpful information for HCV vaccine development. One Sentence Summary Reduced HCV E2-CD81 binding and immune response
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".