Literature DB >> 25415421

How does the timing of antiretroviral therapy initiation in acute infection affect HIV reservoirs?

Jintanat Ananworanich1, Karine Dubé, Nicolas Chomont.   

Abstract

PURPOSE OF REVIEW: The long-lived viral reservoir is a major obstacle to achieving a cure for HIV. Therapeutic strategies, such as early antiretroviral therapy (ART), may be a prerequisite to achieving long-term control of viral replication upon ART withdrawal. RECENT
FINDINGS: HIV persistence is established early in acute HIV infection (AHI) with infection in long-lived memory CD4⁺ T cells. Studies conducted in nonhuman primates have suggested that this could occur as early as 3 days postinfection; however, the timing in humans is uncertain. ART during AHI significantly restricts the HIV reservoirs as compared with later treatment. Early ART, particularly prior to the detection of HIV immunoglobulin M, may also reduce the contribution of the long-lived central memory CD4⁺ T cells to the total HIV reservoir, a profile observed in individuals who naturally control HIV without ART.
SUMMARY: It is clear that early ART has a greater impact in limiting the HIV reservoirs than later treatment. However, latently infected long-lived memory CD4⁺ T cells persist in most early treated individuals. Therefore, additional interventions will likely be required to eliminate all cells capable of producing replication-competent virus but treatment in AHI may be the critical first step in containing the HIV reservoirs.

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Year:  2015        PMID: 25415421      PMCID: PMC4271317          DOI: 10.1097/COH.0000000000000122

Source DB:  PubMed          Journal:  Curr Opin HIV AIDS        ISSN: 1746-630X            Impact factor:   4.283


  40 in total

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10.  SAMHD1 restricts HIV-1 reverse transcription in quiescent CD4(+) T-cells.

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5.  Primary HIV infection: a medical and public health emergency requiring rapid specialist management.

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Review 6.  Total HIV-1 DNA, a Marker of Viral Reservoir Dynamics with Clinical Implications.

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Review 10.  Mathematical Models of HIV Latency.

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