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Updated: Jun 4, 2025

High Throughput In Vitro Assessment of Latency Reversing Agents on HIV Transcription and Splicing
Published on: January 22, 2019
Eliminating the persistent HIV reservoir based on biomarker expression - How do we get there?
1VA San Diego Healthcare System, San Diego, CA, USA; Department of Medicine, University of California at San Diego, La Jolla, CA, USA.
Identifying a specific biomarker for the persistent HIV reservoir is crucial for an HIV cure. Research highlights challenges in biomarker discovery due to cell variability, but new technologies offer hope for defining all reservoir cells.
Area of Science:
- Virology
- Immunology
- Molecular Biology
Background:
- The persistent Human Immunodeficiency Virus (HIV) reservoir, characterized by varying proviral transcriptional activity, impedes efforts toward an HIV cure.
- The lack of a definitive molecular signature or biomarker for latently HIV-infected cells hinders effective reservoir eradication strategies.
Purpose of the Study:
- To discuss factors contributing to biomarker heterogeneity in the HIV reservoir.
- To highlight the need for identifying a minimal set of cell surface proteins that collectively define all HIV reservoir subsets.
- To emphasize the importance of characterizing tissue biomarkers and myeloid lineage cells for comprehensive reservoir targeting.
Main Methods:
- Literature review and discussion of factors influencing biomarker heterogeneity.
- Analysis of consistently reported biomarkers like programmed cell death 1 (PD-1) and Fc fragment of IgG low affinity IIa receptor (FcγRIIa).
- Exploration of novel technologies such as spatial transcriptomics and proteomics for future research.
Main Results:
- Biomarker heterogeneity is influenced by external stimuli, tissue microenvironments, and inter-person variability.
- While some biomarkers (e.g., PD-1, FcγRIIa) are consistently reported, they are insufficient alone to identify all reservoir cells.
- A combination of co-expressed proteins is likely necessary to define comprehensive biomarker panels.
Conclusions:
- A minimal set of cell surface proteins is needed to accurately define all HIV reservoir subsets.
- Future research should focus on identifying co-expressed proteins and characterizing myeloid lineage reservoirs.
- Advancements in spatial transcriptomics and proteomics hold promise for developing effective reservoir-targeting strategies for an HIV cure.
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