Diverse viral proteases activate the NLRP1 inflammasome

  1. Brian V Tsu
  2. Christopher Beierschmitt
  3. Andrew P Ryan
  4. Rimjhim Agarwal
  5. Patrick S Mitchell
  6. Matthew D Daugherty  Is a corresponding author
  1. University of California, San Diego, United States
  2. University of California, Berkeley, United States

Abstract

The NLRP1 inflammasome is a multiprotein complex that is a potent activator of inflammation. Mouse NLRP1B can be activated through proteolytic cleavage by the bacterial Lethal Toxin (LeTx) protease, resulting in degradation of the N-terminal domains of NLRP1B and liberation of the bioactive C-terminal domain, which includes the caspase activation and recruitment domain (CARD). However, natural pathogen-derived effectors that can activate human NLRP1 have remained unknown. Here, we use an evolutionary model to identify several proteases from diverse picornaviruses that cleave human NLRP1 within a rapidly evolving region of the protein, leading to host-specific and virus-specific activation of the NLRP1 inflammasome. Our work demonstrates that NLRP1 acts as a “tripwire” to recognize the enzymatic function of a wide range of viral proteases, and suggests that host mimicry of viral polyprotein cleavage sites can be an evolutionary strategy to activate a robust inflammatory immune response.

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files. Sources of sequence information used for figures and figure supplements have been provided.The ViPR database was used to collect enteroviral polyprotein sequences using the Picornaviridae-specific Gene/Protein search tool (https://www.viprbrc.org/brc/vipr_protein_search.spg?method=ShowCleanSearch&decorator=picorna), selecting protein sequences from all enteroviruses with filters for complete genome to include "completely genome only" and a search type to "include Polyproteins in Results" with the Gene Product Name of "polyprotein". Using the advanced options, options for a minimum CDS length of "6000" with "remove duplicate sequences" were selected. The collection of sequences used in this analysis are listed in Supplementary files 1 and 2.The NCBI protein database (https://www.ncbi.nlm.nih.gov/protein) was used to collect sequences for human (NP_127497.1), mouse NLRP1B allele 129 (AAZ40510.1), mouse NLRP1B allele B6 (XM_017314698.2), other mammalian NLRP1 sequences (Supplementary file 7), picornaviral 3C protease sequences (Supplementary file 7), and NCBI RefSeq enterovirus polyprotein sequences. The NCBI RefSeq enterovirus polyprotein sequences were collected from the NCBI protein database using the search phrase "Enterovirus[Organism] AND srcdb_refseq[PROP] NOT cellular organisms[ORGN]" and filtering by sequence length "2000 to 4000" and release date "to 2018/04/31".Human non-synonymous allele counts for NLRP1 (Figure 4C) were collected using gnomAD (https://gnomad.broadinstitute.org/) v2.1.1 with the search term "NLRP1".

Article and author information

Author details

  1. Brian V Tsu

    Division of Biology, University of California, San Diego, La Jolla, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Christopher Beierschmitt

    Division of Biological Sciences, University of California, San Diego, La Jolla, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Andrew P Ryan

    Section of Molecular Biology, University of California, San Diego, La Jolla, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Rimjhim Agarwal

    Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Patrick S Mitchell

    Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Matthew D Daugherty

    Division of Biology, University of California, San Diego, La Jolla, United States
    For correspondence
    mddaugherty@ucsd.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4879-9603

Funding

National Institutes of Health (R35 GM133633)

  • Matthew D Daugherty

Pew Charitable Trusts

  • Matthew D Daugherty

Hellman Foundation

  • Matthew D Daugherty

National Institutes of Health (T32 GM007240)

  • Brian V Tsu
  • Christopher Beierschmitt
  • Andrew P Ryan

National Science Foundation (2019284620)

  • Christopher Beierschmitt

Jane Coffin Childs Memorial Fund for Medical Research

  • Patrick S Mitchell

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

Reviewing Editor

  1. John W Schoggins, University of Texas Southwestern Medical Center, United States

Version history

  1. Received: July 1, 2020
  2. Accepted: January 6, 2021
  3. Accepted Manuscript published: January 7, 2021 (version 1)
  4. Version of Record published: February 3, 2021 (version 2)

Copyright

© 2021, Tsu 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

  • 5,700
    views
  • 852
    downloads
  • 90
    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. Brian V Tsu
  2. Christopher Beierschmitt
  3. Andrew P Ryan
  4. Rimjhim Agarwal
  5. Patrick S Mitchell
  6. Matthew D Daugherty
(2021)
Diverse viral proteases activate the NLRP1 inflammasome
eLife 10:e60609.
https://doi.org/10.7554/eLife.60609

Share this article

https://doi.org/10.7554/eLife.60609

Further reading

    1. Genetics and Genomics
    2. Immunology and Inflammation
    Jean-David Larouche, Céline M Laumont ... Claude Perreault
    Research Article

    Transposable elements (TEs) are repetitive sequences representing ~45% of the human and mouse genomes and are highly expressed by medullary thymic epithelial cells (mTECs). In this study, we investigated the role of TEs on T-cell development in the thymus. We performed multiomic analyses of TEs in human and mouse thymic cells to elucidate their role in T-cell development. We report that TE expression in the human thymus is high and shows extensive age- and cell lineage-related variations. TE expression correlates with multiple transcription factors in all cell types of the human thymus. Two cell types express particularly broad TE repertoires: mTECs and plasmacytoid dendritic cells (pDCs). In mTECs, transcriptomic data suggest that TEs interact with transcription factors essential for mTEC development and function (e.g., PAX1 and REL), and immunopeptidomic data showed that TEs generate MHC-I-associated peptides implicated in thymocyte education. Notably, AIRE, FEZF2, and CHD4 regulate small yet non-redundant sets of TEs in murine mTECs. Human thymic pDCs homogenously express large numbers of TEs that likely form dsRNA, which can activate innate immune receptors, potentially explaining why thymic pDCs constitutively secrete IFN ɑ/β. This study highlights the diversity of interactions between TEs and the adaptive immune system. TEs are genetic parasites, and the two thymic cell types most affected by TEs (mTEcs and pDCs) are essential to establishing central T-cell tolerance. Therefore, we propose that orchestrating TE expression in thymic cells is critical to prevent autoimmunity in vertebrates.

    1. Immunology and Inflammation
    Toyoshi Yanagihara, Kentaro Hata ... Isamu Okamoto
    Research Article

    Anticancer treatments can result in various adverse effects, including infections due to immune suppression/dysregulation and drug-induced toxicity in the lung. One of the major opportunistic infections is Pneumocystis jirovecii pneumonia (PCP), which can cause severe respiratory complications and high mortality rates. Cytotoxic drugs and immune-checkpoint inhibitors (ICIs) can induce interstitial lung diseases (ILDs). Nonetheless, the differentiation of these diseases can be difficult, and the pathogenic mechanisms of such diseases are not yet fully understood. To better comprehend the immunophenotypes, we conducted an exploratory mass cytometry analysis of immune cell subsets in bronchoalveolar lavage fluid from patients with PCP, cytotoxic drug-induced ILD (DI-ILD), and ICI-associated ILD (ICI-ILD) using two panels containing 64 markers. In PCP, we observed an expansion of the CD16+ T cell population, with the highest CD16+ T proportion in a fatal case. In ICI-ILD, we found an increase in CD57+ CD8+ T cells expressing immune checkpoints (TIGIT+ LAG3+ TIM-3+ PD-1+), FCRL5+ B cells, and CCR2+ CCR5+ CD14+ monocytes. These findings uncover the diverse immunophenotypes and possible pathomechanisms of cancer treatment-related pneumonitis.