HIV-1 integration sites in CD4+ T cells during primary, chronic, and late presentation of HIV-1 infection

JCI Insight. 2021 May 10;6(9):e143940. doi: 10.1172/jci.insight.143940.

Abstract

HIV-1 is capable of integrating its genome into that of its host cell. We examined the influence of the activation state of CD4+ T cells, the effect of antiretroviral therapy (ART), and the clinical stage of HIV-1 infection on HIV-1 integration site features and selection. HIV-1 integration sites were sequenced from longitudinally sampled resting and activated CD4+ T cells from 12 HIV-1-infected individuals. In total, 589 unique HIV-1 integration sites were analyzed: 147, 391, and 51 during primary, chronic, and late presentation of HIV-1 infection, respectively. As early as during primary HIV-1 infection and independent of the activation state of CD4+ T cells collected on and off ART, HIV-1 integration sites were preferentially detected in recurrent integration genes, genes associated with clonal expansion of latently HIV-1-infected CD4+ T cells, cancer-related genes, and highly expressed genes. The preference for cancer-related genes was more pronounced at late stages of HIV-1 infection. Host genomic features of HIV-1 integration site selection remained stable during HIV-1 infection in both resting and activated CD4+ T cells. In summary, characteristic HIV-1 integration site features are preestablished as early as during primary HIV-1 infection and are found in both resting and activated CD4+ T cells.

Keywords: AIDS/HIV; Molecular biology; T cells; Virology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antiretroviral Therapy, Highly Active
  • CD4-Positive T-Lymphocytes / metabolism*
  • Cell Proliferation / genetics*
  • Disease Progression
  • HIV Infections / drug therapy
  • HIV Infections / genetics*
  • HIV Infections / metabolism
  • HIV-1 / genetics*
  • HIV-1 / metabolism
  • Host Microbial Interactions / genetics*
  • Humans
  • Lymphocyte Activation
  • Neoplasms / genetics*
  • Viral Load
  • Virus Integration / genetics*
  • Virus Latency / genetics*