ReviewCurrent opinion in HIV and AIDS2020
Engineering antibody-based molecules for HIV treatment and cure.
Review in Current opinion in HIV and AIDS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Trade-off between the antiviral and vaccinal effects of antibody therapy in the humoral response to HIV.Journal of the Royal Society, Interface · 2024Article
- Bridging the gap with multispecific immune cell engagers in cancer and infectious diseases.Cellular & molecular immunology · 2024Review
- Broadly neutralizing antibodies for HIV prevention: a comprehensive review and future perspectives.Clinical microbiology reviews · 2024Review
- Strategies for HIV-1 suppression through key genes and cell therapy.Frontiers in medicine · 2023Review
- Anti-viral efficacy of a next-generation CD4-binding site bNAb in SHIV-infected animals in the absence of anti-drug antibody responses.iScience · 2022Article
- Developing capacity for implementation and evaluation of vaccine trials in Uganda: Perspective of the Makerere University Walter Reed Project.African health sciences · 2022Article
- Design of a Bispecific HIV Entry Inhibitor Targeting the Cell Receptor CD4 and Viral Fusion Protein Gp41.Frontiers in cellular and infection microbiology · 2022Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
purpose of reviewImmunotherapy strategies alternative to current antiretroviral therapies will need to address viral diversity while increasing the immune system's ability to efficiently target the latent virus reservoir. Antibody-based molecules can be designed based on broadly neutralizing and non-neutralizing antibodies that target free virions and infected cells. These multispecific molecules, either by IgG-like or non-IgG-like in structure, aim to target several independent HIV-1 epitopes and/or engage effector cells to eliminate the replicating virus and infected cells. This detailed review is intended to stimulate discussion on future requirements for novel immunotherapeutic molecules. RECENT
findingsBispecific and trispecific antibodies are engineered as a single molecules to target two or more independent epitopes on the HIV-1 envelope (Env). These antibody-based molecules have increased avidity for Env, leading to improved neutralization potency and breadth compared with single parental antibodies. Furthermore, bispecific and trispecific antibodies that engage cellular receptors with one arm of the molecule help concentrate inhibitory molecules to the sites of potential infection and facilitate engagement of immune effector cells and Env-expressing target cells for their elimination. SUMMARY: Recently engineered antibody-based molecules of different sizes and structures show promise in vitro or in vivo and are encouraging candidates for HIV treatment.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.