Dataset Information

Factors Leading to the Loss of Natural Elite Control of HIV-1 Infection.

ABSTRACT: HIV-1 elite controllers (EC) maintain undetectable viral loads (VL) in the absence of antiretroviral treatment. However, these subjects have heterogeneous clinical outcomes, including a proportion that loses HIV-1 control over time. In this work, we compared, in a longitudinal design, transient EC, analyzed before and after the loss of virological control, with persistent EC. The aim was to identify factors leading to the loss of natural virological control of HIV-1 infection with a longitudinal retrospective study design. Gag-specific T-cell responses were assessed by in vitro intracellular polycytokine production quantified by flow cytometry. Viral diversity determinations and sequence dating were performed in proviral DNA by PCR amplification at limiting dilution of env and gag genes. The expression profile of 70 serum cytokines and chemokines was assessed by multiplex immunoassays. We identified transient EC as subjects with low Gag-specific T-cell polyfunctionality, high viral diversity, and high proinflammatory cytokine levels before the loss of control. Gag-specific T-cell polyfunctionality was inversely associated with viral diversity in transient controllers before the loss of control (r = -0.8; P = 0.02). RANTES was a potential biomarker of transient control. This study identified virological and immunological factors, including inflammatory biomarkers associated with two different phenotypes within EC. These results may allow a more accurate definition of EC, which could help in better clinical management of these individuals and in the development of future curative approaches.IMPORTANCE There is a rare group of HIV-infected patients who have the extraordinary capacity to maintain undetectable viral load levels in the absence of antiretroviral treatment, the so-called HIV-1 elite controllers (EC). However, there is a proportion within these subjects that eventually loses this capability. In this work, we found differences in virological and immune factors, including soluble inflammatory biomarkers, between subjects with persistent control of viral replication and EC that will lose virological control. The identification of these factors could be a key point for a right medical care of those EC who are going to lose natural control of viral replication and for the design of future immunotherapeutic strategies using as a model the natural persistent control of HIV infection.

SUBMITTER: Pernas M

PROVIDER: S-EPMC5809746 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors Leading to the Loss of Natural Elite Control of HIV-1 Infection.

Pernas María M Tarancón-Diez Laura L Rodríguez-Gallego Esther E Gómez Josep J Prado Julia G JG Casado Concepción C Dominguez-Molina Beatriz B Olivares Isabel I Coiras Maite M León Agathe A Rodriguez Carmen C Benito Jose Miguel JM Rallón Norma N Plana Montserrat M Martinez-Madrid Onofre O Dapena Marta M Iribarren Jose Antonio JA Del Romero Jorge J García Felipe F Alcamí José J Muñoz-Fernández MaÁngeles M Vidal Francisco F Leal Manuel M Lopez-Galindez Cecilio C Ruiz-Mateos Ezequiel E

Journal of virology 20180212 5

HIV-1 elite controllers (EC) maintain undetectable viral loads (VL) in the absence of antiretroviral treatment. However, these subjects have heterogeneous clinical outcomes, including a proportion that loses HIV-1 control over time. In this work, we compared, in a longitudinal design, transient EC, analyzed before and after the loss of virological control, with persistent EC. The aim was to identify factors leading to the loss of natural virological control of HIV-1 infection with a longitudinal ...[more]

PMID: 29212942

Similar Datasets

Project description:Targeted HIV cure strategies require definition of the mechanisms that maintain the virus. Here, we tracked HIV replication and the persistence of infected CD4 T cells in individuals with natural virologic control by sequencing viruses, T cell receptor genes, HIV integration sites and cellular transcriptomes. Our results revealed three mechanisms of HIV persistence operating within distinct anatomic and functional compartments. In lymph node, we detected viruses with genetic and transcriptional attributes of active replication in both T follicular helper (TFH) cells and non-TFH memory cells. In blood, we detected inducible proviruses of archival origin among highly differentiated, clonally expanded cells. Linking the lymph node and blood was a small population of circulating cells harboring inducible proviruses of recent origin. Thus, HIV replication in lymphoid tissue, clonal expansion of infected cells, and recirculation of recently infected cells act together to maintain the virus in HIV controllers despite effective antiviral immunity. Fluorescence-activated cell sorting (FACS) was used to sort subsets of CD4 T cells from blood (peripheral blood mononuclear cells; PBMC) and lymph node from a cohort of HIV-infected people with natural control of the virus (termed HIV controllers). Subsets of CD4 T cells that were sorted are as follows: from blood, (1) naÃ¯ve (N), (2) central memory (CM), (3) transitional memory (TM), and (4) effector memory (EM); from lymph node, (1) naÃ¯ve (N), (2) non-germinal center T-follicular helpers (nGC), (3) germinal center T-follicular helpers (Tfh), (4) effector memory (EM), and (5) other central memory-like subsets (CMPD1lo57lo, CMPD1lo57hi, and/or CMPD1lo). Total RNA and total DNA were extracted from these sorted subsets in separate fractions using RNAzol RT and DNAzol. Total cellular DNA was used for HIV quantification and sequence analysis as describe in the publication. Total RNA used for mRNA library construction by oligo-dT purification (Dynabeads), random fragmentation by heating in the presence of Magnesium (in form of 5x first-strand buffer, LifeTech), reverse transcription (SuperScript III), and then second-strand synthesis, end repair, a-tailing, and adaptor ligation using NEBNext enzyme master mixes and oligonucleotides. Libraries were sequenced on an Illumina HiSeq2000. Please note that each 'source name' value represent individual who havs HIV infection with natural control of the virus.

Dataset Information

Factors Leading to the Loss of Natural Elite Control of HIV-1 Infection.

Publications

Factors Leading to the Loss of Natural Elite Control of HIV-1 Infection.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets