Dataset Information

Latency Reversal 2.0: Giving the Immune System a Seat at the Table.

ABSTRACT:

Purpose of review

For most people living with HIV (PLWH), treatment with effective antiretroviral therapy (ART) results in suppression of viremia below the limit of detection of clinical assays, immune reconstitution, reduced immune activation, avoidance of opportunistic infections, and progression to AIDS. However, ART alone is not curative, and HIV persists in a non-replicating, latent form. In this review, we provide a historical perspective on non-specific latency reversal approaches (LRA 1.0) and summarize recent advances in latency reversal strategies that target specific signaling pathways within CD4+ T cells or other immune cells to induce expression of latent HIV (immune-based latency reversal, or LRA 2.0).

Recent findings

The HIV reservoir is primarily composed of latently infected CD4+ T cells carrying integrated, replication-competent provirus that can give rise to rebound viremia if ART is stopped. Myeloid lineage cells also contribute to HIV latency in certain tissues; we focus here on CD4+ T cells as a sufficient body of evidence regarding latency reversal in myeloid cells is lacking. The immunomodulatory LRA 2.0 approaches we describe include pattern recognition receptor agonists, immune checkpoint inhibitors, non-canonical NF-kB stimulation, and transient CD8+ lymphocyte depletion, along with promising combination strategies. We highlight recent studies demonstrating robust latency reversal in nonhuman primate models. While significant strides have been made in terms of virus reactivation from latency, initial hopes for latency reversal alone to result in a reduction of infected cells, through viral cytopathic effect or an unboosted immune system, have not been realized and it seems clear that even effective latency reversal strategies will need to be paired with an approach that facilitates immune recognition and clearance of cells containing reactivated virus.

SUBMITTER: Singh V

PROVIDER: S-EPMC7985101 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Quantification of cell associated HIV RNA (ca-RNA) is one of the most important and commonly used methods to evaluate the performance of latency-reversing agents (LRAs). Copies of HIV RNA measured by qPCR, are often normalized to the input RNA or cell number. However, these could be affected by biological variability and/or technical errors, which can be avoided by using an internal reference gene. To obtain reliable data, it is essential to select stable reference genes (RGs) of which the expression is not influenced by biological variability, the type of cells, or the LRAs used. However, to date, no study has carefully evaluated RG stability following LRA exposure. We analyzed the stability of six widely used RGs (GAPDH, TBP, YWHAZ, UBE2D2, HPRT1 and RPL27A) in human PBMC and CD4+ T cells. LRA exposure significantly influenced the stability of these RGs. Overall, TBP, UBE2D2, and RPL27A were the most stable RGs in all tested conditions. TBP was generally the most stable RG whereas GAPDH varied the most. Finally, we evaluated the impact of applying different RG normalizers to host genes and HIV ca-RNA data. Altered results were observed both in host and HIV gene expression when unstable RGs were used. Our data underline the importance of testing the stability of RGs utilized to evaluate LRA-induced HIV ca-RNA expression. To our knowledge, this is the first careful evaluation of the stability of RGs after LRA exposure and will significantly contribute to the quality of data analysis in regard to gene expression.IMPORTANCELatency-reversing agents (LRAs) are ubiquitously used in the "shock-and-kill" HIV cure strategy and their performance is often evaluated by ex-vivo quantification of cell associated HIV RNA. HIV RNA, measured by qPCR, is often normalized to internal reference genes, but the expression of these genes should not be influenced by the experimental settings. We found that treatment of human PBMC and CD4+ T cells with LRAs significantly altered the expression of several commonly used reference genes, such as GAPDH. Finally, we evaluate the impact of different reference genes on normalization of host genes and HIV cell associated RNA expression and demonstrated that using unstable reference genes dramatically altered experimental outcome. Our data highlight the importance of using reference genes that are unaffected by LRAs under study to correctly evaluate host gene and cell associated HIV RNA expression induced by latency-reversing agents.

Dataset Information

Latency Reversal 2.0: Giving the Immune System a Seat at the Table.

Purpose of review

Recent findings

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets