Interplay between human STING genotype and bacterial NADase activity regulates inter-individual disease variability

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  • Elin Movert
  • Jaume Salgado Bolarin
  • Christine Valfridsson
  • Jorge Velarde
  • Steinar Skrede
  • Michael Nekludov
  • Hyldegaard, Ole
  • Per Arnell
  • Mattias Svensson
  • Anna Norrby-Teglund
  • Kyu Hong Cho
  • Eran Elhaik
  • Michael R. Wessels
  • Lars Råberg
  • Fredric Carlsson

Variability in disease severity caused by a microbial pathogen is impacted by each infection representing a unique combination of host and pathogen genomes. Here, we show that the outcome of invasive Streptococcus pyogenes infection is regulated by an interplay between human STING genotype and bacterial NADase activity. S. pyogenes-derived c-di-AMP diffuses via streptolysin O pores into macrophages where it activates STING and the ensuing type I IFN response. However, the enzymatic activity of the NADase variants expressed by invasive strains suppresses STING-mediated type I IFN production. Analysis of patients with necrotizing S. pyogenes soft tissue infection indicates that a STING genotype associated with reduced c-di-AMP-binding capacity combined with high bacterial NADase activity promotes a ‘perfect storm’ manifested in poor outcome, whereas proficient and uninhibited STING-mediated type I IFN production correlates with protection against host-detrimental inflammation. These results reveal an immune-regulating function for bacterial NADase and provide insight regarding the host-pathogen genotype interplay underlying invasive infection and interindividual disease variability.

OriginalsprogEngelsk
Artikelnummer4008
TidsskriftNature Communications
Vol/bind14
Antal sider10
ISSN2041-1723
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
We thank Arianna Gessa Garcia and Tazin Fahmi for technical assistance, and members of the INFECT study group ( www.permedinfect.com ) for contributing clinical samples and strains. We are grateful to Gunnar Lindahl for critical reading of the manuscript and Inger Ekström for support with illustrations. These studies were supported by grants from the Swedish Research Council (Dnr: 2018-04777), as well as the foundations of Alfred Österlund, Emil and Wera Cornell, Gunvor and Josef Anér, the Royal Physiographic Society in Lund, and Apotekare Hedberg. Genomic computations were supported by the Swedish Research Council (Dnr: 2020-03485) and enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Lund, partially funded by the Swedish Research Council through grant no. 2018-05973.

Publisher Copyright:
© 2023, The Author(s).

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