Bulevirtide als erster spezifischer Wirkstoff gegen Hepatitis-D-Virusinfektionen – Mechanismus und klinische Wirkung
Bibliographic record
Abstract
Blocking the cell entry of pathogens is a suitable approach to prevent new infections. However, the therapeutic use of entry inhibitors in chronically infected patients has had limited success. For the treatment of chronic hepatitis D virus (HDV) infections, a promising agent based on this mode of action, Bulevirtide (BLV), was conditionally approved in July 2020. Previously, no drugs were available for HDV, and treatment relied on off-label use of interferon alpha/peginterferon alpha (IFNα/Peg-IFNα). In this review, we provide an overview of the basic mechanism of action of BLV and summarize the clinical data available to date.HDV infection manifests as a co-infection or superinfection of hepatitis B virus (HBV) infections and affects 4.5-15% of HBV patients worldwide. HDV utilizes the envelope proteins of HBV for dissemination. BLV acts by blocking the HBV/HDV receptor sodium taurocholate co-transporting polypeptide (NTCP), preventing HBV/HDV entry into hepatocytes. BLV lowers HDV serum RNA levels and normalizes alanine aminotransferase (ALT) levels in HBV/HDV-infected individuals. It has an excellent safety profile, even when administered at high doses (10 mg daily) for 48 weeks. In combination with Peg-IFNα, BLV shows synergistic effects on lowering serum HDV RNA, but also on hepatitis B surface antigen (HBsAg) levels. This resulted in a functional cure in a subset of patients when 2 mg BLV plus Peg-IFNα was administered. The mechanism of this likely immune-mediated elimination will be investigated in follow-up studies.
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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 | 0.016 | 0.006 |
| Meta-epidemiology (narrow) | 0.014 | 0.014 |
| Meta-epidemiology (broad) | 0.023 | 0.011 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.009 | 0.009 |
| Research integrity | 0.008 | 0.018 |
| Insufficient payload (model declined to judge) | 0.035 | 0.046 |
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; both teacher heads agree on what is shown here.
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".