Follicular Immune Landscaping Reveals a Distinct Profile of FOXP3hiCD4hi T Cells in Treated Compared to Untreated HIV

Follicular helper CD4hi T cells (TFH) are a major cellular pool for the maintenance of the HIV reservoir. Therefore, the delineation of the follicular (F)/germinal center (GC) immune landscape will significantly advance our understanding of HIV pathogenesis. We have applied multiplex confocal imaging, in combination with the relevant computational tools, to investigate F/GC in situ immune dynamics in viremic (vir-HIV), antiretroviral-treated (cART HIV) People Living With HIV (PLWH) and compare them to reactive, non-infected controls. Lymph nodes (LNs) from viremic and cART PLWH could be further grouped based on their TFH cell densities in high-TFH and low-TFH subgroups. These subgroups were also characterized by different in situ distributions of PD1hi TFH cells. Furthermore, a significant accumulation of follicular FOXP3hiCD4hi T cells, which were characterized by a low scattering in situ distribution profile and strongly correlated with the cell density of CD8hi T cells, was found in the cART-HIV low-TFH group. An inverse correlation between plasma viral load and LN GrzBhiCD8hi T and CD16hiCD15lo cells was found. Our data reveal the complex GC immune landscaping in HIV infection and suggest that follicular FOXP3hiCD4hi T cells could be negative regulators of TFH cell prevalence in cART-HIV.

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Publication Details

Journal
Vaccines
Published
2024-08-12
DOI
https://doi.org/10.3390/vaccines12080912
Citations
4
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
1.17

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article

Follicular Immune Landscaping Reveals a Distinct Profile of FOXP3hiCD4hi T Cells in Treated Compared to Untreated HIV

Giuseppe Pantaleo, Richard A. Koup, Yara Andrea Luna-Villalobos, Perla M. Del Río Estrada et al.
4 citations
Vaccines
HIV Research and Treatment
1.17
article

Follicular Immune Landscaping Reveals a Distinct Profile of FOXP3hiCD4hi T Cells in Treated Compared to Untreated HIV

Giuseppe Pantaleo, Richard A. Koup, Yara Andrea Luna-Villalobos, Perla M. Del Río Estrada, Spiros Georgakis, Simon Burgermeister, Oliver Y. Chén, Fernanda Torres-Ruiz, Constantinos Petrovas, Mauricio González-Navarro, Santiago Ávila‐Ríos, Michail Orfanakis, Gustavo Reyes-Terán, Cloé Brenna
article en
4 citations

Abstract

Follicular helper CD4hi T cells (TFH) are a major cellular pool for the maintenance of the HIV reservoir. Therefore, the delineation of the follicular (F)/germinal center (GC) immune landscape will significantly advance our understanding of HIV pathogenesis. We have applied multiplex confocal imaging, in combination with the relevant computational tools, to investigate F/GC in situ immune dynamics in viremic (vir-HIV), antiretroviral-treated (cART HIV) People Living With HIV (PLWH) and compare them to reactive, non-infected controls. Lymph nodes (LNs) from viremic and cART PLWH could be further grouped based on their TFH cell densities in high-TFH and low-TFH subgroups. These subgroups were also characterized by different in situ distributions of PD1hi TFH cells. Furthermore, a significant accumulation of follicular FOXP3hiCD4hi T cells, which were characterized by a low scattering in situ distribution profile and strongly correlated with the cell density of CD8hi T cells, was found in the cART-HIV low-TFH group. An inverse correlation between plasma viral load and LN GrzBhiCD8hi T and CD16hiCD15lo cells was found. Our data reveal the complex GC immune landscaping in HIV infection and suggest that follicular FOXP3hiCD4hi T cells could be negative regulators of TFH cell prevalence in cART-HIV.

VaccinesVol. 12(8)
National Institutes of Health (US), Emory University (US), Secretaria de Salud (MX), Hospitales Regionales de Alta Especialidad (MX), Instituto Nacional de Enfermedades Respiratorias (MX), National Institute of Allergy and Infectious Diseases (US), University of Lausanne (CH)
Centre Hospitalier Universitaire Vaudois
Good health and well-being
Openalex Percentile: Top 22%
HIV Research and Treatment
1.17
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