ArticleEmerging microbes & infections2024
TCR-like bispecific antibodies toward eliminating infected hepatocytes in HBV mouse models.
Article in Emerging microbes & infections, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Therapeutic Strategies for Hepatocellular Carcinoma: Current Advances and Future Perspectives.Vaccines · 2026Review
- Article
- Article
- CAR-T cell engineered with TCR-like antibody specific for HBV surface antigen epitope E183-91/HLA-A *0201 exhibit potent activity against HBV-HCC.Oncoimmunology · 2025Article
- Bispecific antibodies cross-link and redirect CD8Science advances · 2025Article
- T cell receptor-like antibody specifically targets and eliminates cells infected with cytomegalovirus.Journal of translational medicine · 2025Article
- Review
Corrections and comments
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Authors and funding
25 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Therapeutics for eradicating hepatitis B virus (HBV) infection are still limited and current nucleos(t)ide analogs (NAs) and interferon are effective in controlling viral replication and improving liver health, but they cannot completely eradicate the hepatitis B virus and only a very small number of patients are cured of it. The TCR-like antibodies recognizing viral peptides presented on human leukocyte antigens (HLA) provide possible tools for targeting and eliminating HBV-infected hepatocytes. Here, we generated three TCR-like antibodies targeting three different HLA-A2.1-presented peptides derived from HBV core and surface proteins. Bispecific antibodies (BsAbs) were developed by fuzing variable fragments of these TCR-like mAbs with an anti-CD3ϵ antibody. Our data demonstrate that the BsAbs could act as T cell engagers, effectively redirecting and activating T cells to target HBV-infected hepatocytes
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.