Upregulation of Glucose Uptake and Hexokinase Activity of Primary Human CD4+ T Cells in Response to Infection with HIV-1.
Maia Kavanagh WilliamsonNaomi CoombesFlorian JuszczakMarios AthanasopoulosMariam B KhanThomas R EykynUshani SrenathanLeonie S TaamsJulianna Dias ZeidlerAndrea T Da PoianHendrik HuthoffPublished in: Viruses (2018)
Infection of primary CD4+ T cells with HIV-1 coincides with an increase in glycolysis. We investigated the expression of glucose transporters (GLUT) and glycolytic enzymes in human CD4+ T cells in response to infection with HIV-1. We demonstrate the co-expression of GLUT1, GLUT3, GLUT4, and GLUT6 in human CD4+ T cells after activation, and their concerted overexpression in HIV-1 infected cells. The investigation of glycolytic enzymes demonstrated activation-dependent expression of hexokinases HK1 and HK2 in human CD4+ T cells, and a highly significant increase in cellular hexokinase enzyme activity in response to infection with HIV-1. HIV-1 infected CD4+ T cells showed a marked increase in expression of HK1, as well as the functionally related voltage-dependent anion channel (VDAC) protein, but not HK2. The elevation of GLUT, HK1, and VDAC expression in HIV-1 infected cells mirrored replication kinetics and was dependent on virus replication, as evidenced by the use of reverse transcription inhibitors. Finally, we demonstrated that the upregulation of HK1 in HIV-1 infected CD4+ T cells is independent of the viral accessory proteins Vpu, Vif, Nef, and Vpr. Though these data are consistent with HIV-1 dependency on CD4+ T cell glucose metabolism, a cellular response mechanism to infection cannot be ruled out.
Keyphrases
- hiv infected
- antiretroviral therapy
- poor prognosis
- endothelial cells
- human immunodeficiency virus
- hiv positive
- high glucose
- hiv aids
- induced pluripotent stem cells
- long non coding rna
- induced apoptosis
- cell proliferation
- pluripotent stem cells
- binding protein
- hiv testing
- men who have sex with men
- hepatitis c virus
- signaling pathway
- sars cov
- transcription factor
- machine learning
- small molecule
- cell death
- blood glucose
- oxidative stress
- blood pressure
- high resolution
- artificial intelligence
- metabolic syndrome
- endoplasmic reticulum stress