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PD-1⁺ and follicular helper T cells are responsible for persistent HIV-1 transcription in treated aviremic individuals

Matthieu Perreau and colleagues show that HIV-infected lymph node PD-1⁺ and follicular helper T cells account for the major source of replication-competent HIV-1 in individuals who have been treated with antiretroviral drugs.

Riddhima Banga
Francesco Andrea Procopio
Matthieu Perreau
Research30 May 2016
Nature Medicine

Volume: 22, P: 754-761
Heritability of the HIV-1 reservoir size and decay under long-term suppressive ART

The HIV reservoir is a major hurdle for a cure of HIV, but the factors determining its size and dynamics remain unclear. Here the authors show in a large cohort of 610 HIV-1 infected individuals, who are on suppressive ART for a median of 5.4 years, that viral genetic factors contribute substantially to the HIV-1 reservoir size.

Chenjie Wan
Nadine Bachmann
Sabine Yerly
ResearchOpen Access02 Nov 2020
Nature Communications

Volume: 11, P: 1-11
The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients

Infection with SARS CoV2 results in the induction of multiple cytokine and inflammatory pathways. Here the authors demonstrate the association of HGF and CXCL13 production with increased severity and mortality in COVID-19 patients.

Matthieu Perreau
Madeleine Suffiotti
Giuseppe Pantaleo
ResearchOpen Access09 Aug 2021
Nature Communications

Volume: 12, P: 1-10
Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART

Here, Bachmann et al. provide data on long-term dynamics of the HIV-1 reservoir in 1,057 individuals on suppressive antiretroviral therapy and show that in 26.6% of individuals the reservoir increases. Viral blips and low-level viremia are significantly associated with a slower reservoir decay.

Nadine Bachmann
Chantal von Siebenthal
Sabine Yerly
ResearchOpen Access19 Jul 2019
Nature Communications

Volume: 10, P: 1-11
Dominant TNF-α⁺ Mycobacterium tuberculosis–specific CD4⁺ T cell responses discriminate between latent infection and active disease

Discriminating between active and latent infection with Mycobacterium tuberculosis (Mtb) is a protracted and complicated process, which can affect the timeliness of treatment decisions. Harari et al. now report that the cytokine profiles of Mtb-specific CD4⁺ T cells characterized by a polychromatic flow cytometry assay can distinguish latent infection from active disease.

Alexandre Harari
Virginie Rozot
Giuseppe Pantaleo
Research20 Feb 2011
Nature Medicine

Volume: 17, P: 372-376
RAIN: machine learning-based identification for HIV-1 bNAbs

Artificial intelligence holds great promise to improve diagnosis of numerous immune-related or infectious diseases. Here, the authors show that machine learning can be used to identify HIV-1 specific broad neutralising antibody.

Mathilde Foglierini
Pauline Nortier
Laurent Perez
ResearchOpen Access24 Jun 2024
Nature Communications

Volume: 15, P: 1-16
Heterogenous humoral and cellular immune responses with distinct trajectories post-SARS-CoV-2 infection in a population-based cohort

The persistence of the immune response to SARS-CoV-2 after recovery from infection is an indicator for subsequent protection against infection. Here the authors follow recovered patients and measure antibody and T cell responses and find that these two parts of the immune response may have different longevity.

Dominik Menges
Kyra D. Zens
Jan S. Fehr
ResearchOpen Access18 Aug 2022
Nature Communications

Volume: 13, P: 1-16
Inadequate T follicular cell help impairs B cell immunity during HIV infection

B cell responses are impaired in HIV-infected individuals. Elias Haddad and colleagues now report that follicular helper T (T_FH) cells, which are crucial for the maturation of B cell memory and development of high-affinity antibodies, are functionally impaired upon interaction with lymph node germinal center B cells from HIV-infected individuals. The interaction of the inhibitory molecule PD-1 on T_FH cells with its ligand PD-L1, which is elevated on germinal center B cells in HIV-infected lymph nodes, impairs T_FH cell proliferation and antibody production by B cells, thus providing insight into humoral dysfunction in HIV infection.

Rafael A Cubas
Joseph C Mudd
Elias K Haddad
Research10 Mar 2013
Nature Medicine

Volume: 19, P: 494-499
Tracing HIV-1 strains that imprint broadly neutralizing antibody responses

Similarity of antibody responses in HIV-1 transmission pairs reveals a significant impact of the virus genome on imprinting antibody responses.

Roger D. Kouyos
Peter Rusert
Sabine Yerly
Research10 Sept 2018
Nature

Volume: 561, P: 406-410
The influence of human genetic variation on Epstein–Barr virus sequence diversity

Sina Rüeger
Christian Hammer
Sabine Yerly
ResearchOpen Access25 Feb 2021
Scientific Reports

Volume: 11, P: 1-12
Author Correction: The influence of human genetic variation on Epstein–Barr virus sequence diversity

Sina Rüeger
Christian Hammer
Sabine Yerly
Amendments and CorrectionsOpen Access20 Apr 2021
Scientific Reports

Volume: 11, P: 1

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PD-1⁺ and follicular helper T cells are responsible for persistent HIV-1 transcription in treated aviremic individuals

Heritability of the HIV-1 reservoir size and decay under long-term suppressive ART

The cytokines HGF and CXCL13 predict the severity and the mortality in COVID-19 patients

Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART

Dominant TNF-α⁺ Mycobacterium tuberculosis–specific CD4⁺ T cell responses discriminate between latent infection and active disease

RAIN: machine learning-based identification for HIV-1 bNAbs

Heterogenous humoral and cellular immune responses with distinct trajectories post-SARS-CoV-2 infection in a population-based cohort

Inadequate T follicular cell help impairs B cell immunity during HIV infection

Tracing HIV-1 strains that imprint broadly neutralizing antibody responses

The influence of human genetic variation on Epstein–Barr virus sequence diversity

Author Correction: The influence of human genetic variation on Epstein–Barr virus sequence diversity

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