Unsuppressed HIV infection impairs T cell responses to SARS-CoV-2 infection and abrogates T cell cross-recognition

  1. Thandeka Nkosi
  2. Caroline Chasara
  3. Andrea O Papadopoulos  Is a corresponding author
  4. Tiza L Nguni
  5. Farina Karim
  6. Mahomed-Yunus S Moosa
  7. Inbal Gazy
  8. Kondwani Jambo
  9. COMMIT-KZN
  10. Willem Hanekom
  11. Alex Sigal
  12. Zaza M Ndhlovu  Is a corresponding author
  1. University of KwaZulu-Natal, South Africa
  2. Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Malawi

Abstract

In some instances, unsuppressed HIV has been associated with severe COVID-19 disease, but the mechanisms underpinning this susceptibility are still unclear. Here, we assessed the impact of HIV infection on the quality and epitope specificity of SARS-CoV-2 T cell responses in the first wave and second wave of the COVID-19 epidemic in South Africa. Flow cytometry was used to measure T cell responses following PBMC stimulation with SARS-CoV-2 peptide pools. Culture expansion was used to determine T cell immunodominance hierarchies and to assess potential SARS-CoV-2 escape from T cell recognition. HIV-seronegative individuals had significantly greater CD4+T cell responses against the Spike protein compared to the viremic PLWH. Absolute CD4 count correlated positively with SARS-CoV-2 specific CD4+ and CD8+ T cell responses (CD4 r= 0.5, p=0.03; CD8 r=0.5, p=0.001), whereas T cell activation was negatively correlated with CD4+ T cell responses (CD4 r= -0.7, p=0.04). There was diminished T cell cross-recognition between the two waves, which was more pronounced in individuals with unsuppressed HIV infection. Importantly, we identify four mutations in the Beta variant that resulted in abrogation of T cell recognition. Together, we show that unsuppressed HIV infection markedly impairs T cell responses to SARS-Cov-2 infection and diminishes T cell cross-recognition. These findings may partly explain the increased susceptibility of PLWH to severe COVID-19 and also highlights their vulnerability to emerging SARS-CoV-2 variants of concern.

Data availability

Responses: All source data files for the figures are now publicly available on our institutional website (Africa Health Research Institute database). The data can be accessed using this link: https://doi.org/10.23664/AHRI.SARS.CoV.2

Article and author information

Author details

  1. Thandeka Nkosi

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
    Competing interests
    The authors declare that no competing interests exist.
  2. Caroline Chasara

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6860-6111
  3. Andrea O Papadopoulos

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
    For correspondence
    andrea.papadopoulos@ahri.org
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5317-1418
  4. Tiza L Nguni

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
    Competing interests
    The authors declare that no competing interests exist.
  5. Farina Karim

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9698-016X
  6. Mahomed-Yunus S Moosa

    Department of Infectious Diseases, University of KwaZulu-Natal, Durban, South Africa
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6191-4023
  7. Inbal Gazy

    KwaZulu-Natal Research Innovation and Sequencing Platform, University of KwaZulu-Natal, Durban, South Africa
    Competing interests
    The authors declare that no competing interests exist.
  8. Kondwani Jambo

    Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
    Competing interests
    The authors declare that no competing interests exist.
  9. COMMIT-KZN

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
  10. Willem Hanekom

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
    Competing interests
    The authors declare that no competing interests exist.
  11. Alex Sigal

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8571-2004
  12. Zaza M Ndhlovu

    Africa Health Research Institute, University of KwaZulu-Natal, Durban, South Africa
    For correspondence
    zndhlovu@mgh.harvard.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2708-3315

Funding

Howard Hughes Medical Institute (55008743)

  • Zaza M Ndhlovu

Bill and Melinda Gates Foundation (INV-018944)

  • Alex Sigal

South Africa Medical Research Council (31026)

  • Willem Hanekom

Sub-Sahara African Network for TB and HIV Research Excellence (COL016)

  • Zaza M Ndhlovu

Africa Health Research Institute (LoA R82)

  • Zaza M Ndhlovu

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: Ethical Declaration: The study protocol was approved by the University of KwaZulu-Natal Biomedical Research Ethics Committee (BREC) (approval BREC/00001275/2020). Consenting adult patients (>18 years old) presenting at King Edward VIII, Inkosi Albert Luthuli Central Hospital, and Clairwood Hospital in Durban, South Africa, between 29 July to August November 2021 with PCR confirmed SARS-CoV-2 infection were enrolled into the study.

Copyright

© 2022, Nkosi et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 918
    views
  • 245
    downloads
  • 22
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Thandeka Nkosi
  2. Caroline Chasara
  3. Andrea O Papadopoulos
  4. Tiza L Nguni
  5. Farina Karim
  6. Mahomed-Yunus S Moosa
  7. Inbal Gazy
  8. Kondwani Jambo
  9. COMMIT-KZN
  10. Willem Hanekom
  11. Alex Sigal
  12. Zaza M Ndhlovu
(2022)
Unsuppressed HIV infection impairs T cell responses to SARS-CoV-2 infection and abrogates T cell cross-recognition
eLife 11:e78374.
https://doi.org/10.7554/eLife.78374

Share this article

https://doi.org/10.7554/eLife.78374

Further reading

    1. Cancer Biology
    2. Immunology and Inflammation
    Almudena Mendez-Perez, Andres M Acosta-Moreno ... Esteban Veiga
    Short Report

    In this study, we present a proof-of-concept classical vaccination experiment that validates the in silico identification of tumor neoantigens (TNAs) using a machine learning-based platform called NAP-CNB. Unlike other TNA predictors, NAP-CNB leverages RNA-seq data to consider the relative expression of neoantigens in tumors. Our experiments show the efficacy of NAP-CNB. Predicted TNAs elicited potent antitumor responses in mice following classical vaccination protocols. Notably, optimal antitumor activity was observed when targeting the antigen with higher expression in the tumor, which was not the most immunogenic. Additionally, the vaccination combining different neoantigens resulted in vastly improved responses compared to each one individually, showing the worth of multiantigen-based approaches. These findings validate NAP-CNB as an innovative TNA identification platform and make a substantial contribution to advancing the next generation of personalized immunotherapies.

    1. Immunology and Inflammation
    2. Microbiology and Infectious Disease
    Hiroyuki Yamamoto, Tetsuro Matano
    Research Article

    HIV and simian immunodeficiency virus (SIV) infections are known for impaired neutralizing antibody (NAb) responses. While sequential virus–host B cell interaction appears to be basally required for NAb induction, driver molecular signatures predisposing to NAb induction still remain largely unknown. Here we describe SIV-specific NAb induction following a virus–host interplay decreasing aberrant viral drive of phosphoinositide 3-kinase (PI3K). Screening of seventy difficult-to-neutralize SIVmac239-infected macaques found nine NAb-inducing animals, with seven selecting for a specific CD8+ T-cell escape mutation in viral nef before NAb induction. This Nef-G63E mutation reduced excess Nef interaction-mediated drive of B-cell maturation-limiting PI3K/mammalian target of rapamycin complex 2 (mTORC2). In vivo imaging cytometry depicted preferential Nef perturbation of cognate Envelope-specific B cells, suggestive of polarized contact-dependent Nef transfer and corroborating cognate B-cell maturation post-mutant selection up to NAb induction. Results collectively exemplify a NAb induction pattern extrinsically reciprocal to human PI3K gain-of-function antibody-dysregulating disease and indicate that harnessing the PI3K/mTORC2 axis may facilitate NAb induction against difficult-to-neutralize viruses including HIV/SIV.