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Effect of HIV infection and antiretroviral therapy on immune cellular functions
Marek Korencak, Morgan Byrne, Enrico Richter, Bruce T. Schultz, Patrick Juszczak, Julie A. Ake, Anuradha Ganesan, Jason F. Okulicz, Merlin L. Robb, Buena de los Reyes, Sandra Winning, Joachim Fandrey, Timothy H. Burgess, Stefan Esser, Nelson L. Michael, Brian K. Agan, Hendrik Streeck
Marek Korencak, Morgan Byrne, Enrico Richter, Bruce T. Schultz, Patrick Juszczak, Julie A. Ake, Anuradha Ganesan, Jason F. Okulicz, Merlin L. Robb, Buena de los Reyes, Sandra Winning, Joachim Fandrey, Timothy H. Burgess, Stefan Esser, Nelson L. Michael, Brian K. Agan, Hendrik Streeck
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Research Article AIDS/HIV Immunology

Effect of HIV infection and antiretroviral therapy on immune cellular functions

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Abstract

During chronic HIV infection, immune cells become increasingly dysfunctional and exhausted. Little is known about how immune functions are restored after initiation of antiretroviral therapy (ART). In this study, we assessed cellular and metabolic activity and evaluated the effect of individual antiretrovirals on cellular subsets ex vivo in ART-treated and treatment-naive chronically HIV-infected individuals. We observed that cellular respiration was significantly decreased in most immune cells in chronic HIV infection. The respiration was correlated to immune activation and the inhibitory receptor programmed cell death 1 on CD8+ T cells. ART restored the metabolic phenotype, but the respiratory impairment persisted in CD4+ T cells. This was particularly the case for individuals receiving integrase strand transfer inhibitors. CD4+ T cells from these individuals showed a significant reduction in ex vivo proliferative capacity compared with individuals treated with protease inhibitors or nonnucleoside reverse transcriptase inhibitors. We noticed a significant decrease in respiration of cells treated with dolutegravir (DLG) or elvitegravir (EVG) and a switch from polyfunctional to TNF-α–dominated “stress” immune response. There was no effect on glycolysis, consistent with impaired mitochondrial function. We detected increased levels of mitochondrial ROS and mitochondrial mass. These findings indicate that EVG and DLG use is associated with slow proliferation and impaired respiration with underlying mitochondrial dysfunction, resulting in overall decreased cellular function in CD4+ T cells.

Authors

Marek Korencak, Morgan Byrne, Enrico Richter, Bruce T. Schultz, Patrick Juszczak, Julie A. Ake, Anuradha Ganesan, Jason F. Okulicz, Merlin L. Robb, Buena de los Reyes, Sandra Winning, Joachim Fandrey, Timothy H. Burgess, Stefan Esser, Nelson L. Michael, Brian K. Agan, Hendrik Streeck

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Figure 1

CD4+ and CD8+ T cells and NK cells from HIV-positive, treatment-naive patients (n = 11) show reduced basal and maximal respiration compared with HIV-negative patients (n = 12).

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CD4+ and CD8+ T cells and NK cells from HIV-positive, treatment-naive pa...
(A) Representative plot of oxidative consumption rate (OCR) showing subsequent injections of test components (marked with arrowheads) (1) oligomycin, (2) FCCP, and (3) rotenone with antimycin A. Comparison of basal and maximal mitochondrial respiration between HIV-positive, treatment-naive individuals and healthy controls demonstrating reduced basal and maximal respiration of CD4+ and CD8+ T cells and NK cells in HIV-positive, treatment-naive individuals. (B) Representative plot of extracellular acidification rate (ECAR) with the same injection strategy as the previous test. No significant differences in glycolysis and glycolytic capacity were observed among CD4+ and CD8+ T cells and NK cells. (C) OCR/ECAR ratio showing differences in the bioenergetic profiles. (D) Negative correlation between activation (characterized as CD38+ HLA-DR+) and metabolism in CD8+ T cells. (E) Negative correlation between exhaustion (characterized as PD-1+) and metabolic parameters in CD8+ T cells. Plots show individual values with the mean ± SD. Bar chart shows the mean value ± SD. Statistical significance was assessed by Kruskal-Wallis test with Dunn’s multiple-comparisons test and repeated-measures (RM) 1-way ANOVA test with Holm-Šídák’s multiple-comparisons test (*P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001).

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