Helios + Regulatory T cell frequencies are correlated with control of viral replication and recovery of absolute CD4 T cells counts in early HIV-1 infection

Abstract Background The acute phase of HIV infection is characterized by massive depletion of CD4 T cells, high viral plasma levels and pronounced systemic immune activation. Regulatory T cells (Tregs) have the potential to control systemic immune activation but also to suppress antigen specific T and B cell response. The co-expression of FoxP3 and Helios transcription factors, has been described for identification of highly suppressive Tregs. The aim of this study was to characterize the phenotype of classic Tregs during early HIV infection, and to assess the correlations between the frequencies and phenotype of Tregs with the plasma viral load, CD4 counts, immune activation and the frequency of antibodies reactive to HIV-1 proteins, measured by an immunochromatographic test. Results The relative frequency of classic Tregs cells in peripheral blood correlated positively with HIV viral load and immune activation of CD8 T cells, and inversely with absolute CD4 counts and development of anti-HIV antibodies in subjects with early HIV infection. However, the expression of Helios in classic Tregs was inversely correlated with viral replication and immune activation, and positively with recovery of CD4 T cell counts and appearance of antibodies reactive to HIV-1 proteins. Conclusion These results raise the hypothesis that classic Tregs are inefficient at controlling systemic immune activation in subjects with early HIV infection and may be associated with delayed production of antibodies against HIV proteins, delaying the control of viral replication. Conversely, Helios expressing Tregs might contribute to control of viral replication by mechanisms involving the limitation of systemic immune activation.

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PID https://www.doi.org/10.6084/m9.figshare.c.3956089.v1
PID https://www.doi.org/10.6084/m9.figshare.c.3956089
URL http://dx.doi.org/10.6084/m9.figshare.c.3956089
URL http://dx.doi.org/10.6084/m9.figshare.c.3956089.v1
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Author Chissumba, Raquel Matavele
Author Namalango, Eduardo
Author Vânia Maphossa
Author Macicame, Ivalda
Author Nilesh Bhatt
Author Polyak, Christina
Author Robb, Merlin
Author Michael, Nelson
Author Ilesh Jani
Author Kestens, Luc
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Collected From Datacite
Hosted By figshare
Publication Date 2017-01-01
Publisher Figshare
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Language UNKNOWN
Resource Type Collection
keyword FOS: Mathematics
keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Clinical medicine
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::61a4f45fb420b4606c222806dc745866
Author jsonws_user
Last Updated 20 December 2020, 03:23 (CET)
Created 20 December 2020, 03:23 (CET)