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The HIV-1 reservoir landscape in persistent elite controllers and transient elite controllers
Carmen Gasca-Capote, … , Xu G. Yu, Ezequiel Ruiz-Mateos
Carmen Gasca-Capote, … , Xu G. Yu, Ezequiel Ruiz-Mateos
Published February 20, 2024
Citation Information: J Clin Invest. 2024;134(8):e174215. https://doi.org/10.1172/JCI174215.
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Clinical Research and Public Health AIDS/HIV Virology

The HIV-1 reservoir landscape in persistent elite controllers and transient elite controllers

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Abstract

BACKGROUND Persistent controllers (PCs) maintain antiretroviral-free HIV-1 control indefinitely over time, while transient controllers (TCs) eventually lose virological control. It is essential to characterize the quality of the HIV reservoir in terms of these phenotypes in order to identify the factors that lead to HIV progression and to open new avenues toward an HIV cure.METHODS The characterization of HIV-1 reservoir from peripheral blood mononuclear cells was performed using next-generation sequencing techniques, such as full-length individual and matched integration site proviral sequencing (FLIP-Seq; MIP-Seq).RESULTS PCs and TCs, before losing virological control, presented significantly lower total, intact, and defective proviruses compared with those of participants on antiretroviral therapy (ART). No differences were found in total and defective proviruses between PCs and TCs. However, intact provirus levels were lower in PCs compared with TCs; indeed the intact/defective HIV-DNA ratio was significantly higher in TCs. Clonally expanded intact proviruses were found only in PCs and located in centromeric satellite DNA or zinc-finger genes, both associated with heterochromatin features. In contrast, sampled intact proviruses were located in permissive genic euchromatic positions in TCs.CONCLUSIONS These results suggest the need for, and can give guidance to, the design of future research to identify a distinct proviral landscape that may be associated with the persistent control of HIV-1 without ART.FUNDING Instituto de Salud Carlos III (FI17/00186, FI19/00083, MV20/00057, PI18/01532, PI19/01127 and PI22/01796), Gilead Fellowships (GLD22/00147). NIH grants AI155171, AI116228, AI078799, HL134539, DA047034, MH134823, amfAR ARCHE and the Bill and Melinda Gates Foundation.

Authors

Carmen Gasca-Capote, Xiaodong Lian, Ce Gao, Isabelle C. Roseto, María Reyes Jiménez-León, Gregory Gladkov, María Inés Camacho-Sojo, Alberto Pérez-Gómez, Isabel Gallego, Luis E. Lopez-Cortes, Sara Bachiller, Joana Vitalle, Mohamed Rafii-El-Idrissi Benhnia, Francisco J. Ostos, Antonio R. Collado-Romacho, Jesús Santos, Rosario Palacios, Cristina Gomez-Ayerbe, Leopoldo Muñoz-Medina, Andrés Ruiz-Sancho, Mario Frias, Antonio Rivero-Juarez, Cristina Roca-Oporto, Carmen Hidalgo-Tenorio, Anna Rull, Julian Olalla, Miguel A. Lopez-Ruz, Francesc Vidal, Consuelo Viladés, Andrea Mastrangelo, Matthias Cavassini, Nuria Espinosa, Matthieu Perreau, Joaquin Peraire, Antonio Rivero, Luis F. López-Cortes, Mathias Lichterfeld, Xu G. Yu, Ezequiel Ruiz-Mateos

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Figure 4

Simultaneous analysis of HIV-1 proviral sequences and integration sites in linear maximum-likelihood phylogenetic trees.

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Simultaneous analysis of HIV-1 proviral sequences and integration sites ...
Coordinates and relative positioning of integration sites are indicated. Clonal genome proviral sequences, defined by identical proviral sequences and identical corresponding integration sites, are highlighted in black boxes. The rest of the symbols represent different types of defective proviruses.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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