SARS-CoV-2 Spike triggers barrier dysfunction and vascular leak via integrins and TGF-β signaling

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

Severe COVID-19 is associated with epithelial and endothelial barrier dysfunction within the lung as well as in distal organs. While it is appreciated that an exaggerated inflammatory response is associated with barrier dysfunction, the triggers of this pathology are unclear. Here, we report that cell-intrinsic interactions between the Spike (S) glycoprotein of SARS-CoV-2 and epithelial/endothelial cells are sufficient to trigger barrier dysfunction in vitro and vascular leak in vivo , independently of viral replication and the ACE2 receptor. We identify an S-triggered transcriptional response associated with extracellular matrix reorganization and TGF-β signaling. Using genetic knockouts and specific inhibitors, we demonstrate that glycosaminoglycans, integrins, and the TGF-β signaling axis are required for S-mediated barrier dysfunction. Our findings suggest that S interactions with barrier cells are a contributing factor to COVID-19 disease severity and offer mechanistic insight into SARS-CoV-2 triggered vascular leak, providing a starting point for development of therapies targeting COVID-19 pathogenesis.

Article activity feed

  1. SciScore for 10.1101/2021.12.10.472112: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsIACUC: All experiments and procedures were pre-approved by the UC Berkeley Animal Care and Use Committee, Protocol AUP-2014-08-6638-2.
    Sex as a biological variableEXPERIMENTAL MODELS AND SUBJECT DETAILS: Mice: Six- to eight-week-old wild-type C57BL/6J female mice were purchased from the Jackson Laboratory and housed at the University of California, Berkeley Animal Facility under specific pathogen-free conditions.
    RandomizationFor immunofluorescence microscopy experiments, images of random fields were captured.
    BlindingResearchers were not blinded during experiments.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: Identified DEGs were analyzed by STRING to identify predicted protein-protein interaction networks as well as enriched pathway analysis (https://string-db.org/).

    Table 2: Resources

    Antibodies
    SentencesResources
    Afterwards, plates were incubated with biotinylated chicken anti-human TGF-β1 detection antibody and then with streptavidin-horseradish peroxidase (HRP) for signal detection with tetramethylbenzidine (TMB) substrate.
    anti-human TGF-β1
    suggested: None
    , heparin (Sigma, H3393), anti-Spike (Genetex, 1A9, GTX632604), anti-Spike (Absolute Antibody, CR3022), rabbit anti-TGFBR1 (Thermo Fisher Scientific, PA5-32631).
    anti-Spike
    suggested: (GeneTex Cat# GTX632604, RRID:AB_2864418)
    GTX632604
    suggested: (GeneTex Cat# GTX632604, RRID:AB_2864418)
    CR3022
    suggested: (Imported from the IEDB Cat# CR3022, RRID:AB_2848080)
    anti-TGFBR1
    suggested: (Thermo Fisher Scientific Cat# PA5-32631, RRID:AB_2550094)
    PA5-32631
    suggested: (Thermo Fisher Scientific Cat# PA5-32631, RRID:AB_2550094)
    The following antibodies were used in this study: goat anti-ACE2 (R&D Systems, AF933)
    anti-ACE2
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Vero-E6 cells were used for SARS-CoV-2 titration and maintained in D10 media at 37°C with 5% CO2.
    Vero-E6
    suggested: None
    In brief, 15-cm2 dishes of HEK293T cells were transfected with a plasmid encoding SARS-CoV-2 S (Wuhan-Hu-1, Accession #QHD43416.1) using 45 μg total DNA.
    HEK293T
    suggested: None
    In brief, lentivirus vectors were transfected into 293T cells using a lipofectamine 3000 transfection protocol according to the manufacturer’s instructions, along with a packaging vector (psPAX2) and a pseudotyping vector (pMD2.G).
    293T
    suggested: None
    In brief, 6×104 HPMEC or 2×105 Calu-3 were seeded in 300 μL into the apical chambers of 24-well transwell polycarbonate membrane inserts (Transwell permeable support, 0.4 μM, 6.5 mm insert; Corning) and 1.5 mL of medium was added to the basolateral chamber.
    Calu-3
    suggested: None
    Experimental Models: Organisms/Strains
    SentencesResources
    EXPERIMENTAL MODELS AND SUBJECT DETAILS: Mice: Six- to eight-week-old wild-type C57BL/6J female mice were purchased from the Jackson Laboratory and housed at the University of California, Berkeley Animal Facility under specific pathogen-free conditions.
    C57BL/6J
    suggested: RRID:IMSR_JAX:000664)
    The hACE2 encoding plasmid was a gift from Hyeryun Choe (Addgene plasmid #1786; http://n2t.net/addgene:1786; RRID:Addgene_1786) (66)
    RRID:Addgene_1786
    suggested: None
    Recombinant DNA
    SentencesResources
    The hACE2 encoding plasmid was a gift from Hyeryun Choe (Addgene plasmid #1786; http://n2t.net/addgene:1786; RRID:Addgene_1786) (66)
    detected: RRID:Addgene_1786)
    At 24 hours post-transfection, VSV-G expressing VSV-ΔG-rLuc pseudotyped virions were used to infect the transfected HEK293T cells.
    VSV-G
    suggested: RRID:Addgene_138479)
    In brief, lentivirus vectors were transfected into 293T cells using a lipofectamine 3000 transfection protocol according to the manufacturer’s instructions, along with a packaging vector (psPAX2) and a pseudotyping vector (pMD2.G).
    psPAX2
    suggested: RRID:Addgene_12260)
    pMD2 . G
    suggested: None
    CRISPR-Cas9 Knockout: To produce gene-specific knockout cell lines, we utilized a CRISPR-Cas9 pipeline based on the lentiCRISPR v2 lentivirus construct obtained from Feng Zhang (Addgene plasmid # 52961; http://n2t.net/addgene:52961;RRID:Addgene_52961), as previously described (71).
    detected: RRID:Addgene_52961)
    Software and Algorithms
    SentencesResources
    SARS-CoV-2 S stabilized trimers from diverse viral variants were purchased from the Native Antigen Company including B.1.1.7
    B.1.1.7
    suggested: None
    Leakage was quantified around the injection sites using Image Studio software (LI-COR Biosciences).
    Image Studio
    suggested: (Image Studio Lite, RRID:SCR_013715)
    Following sequencing of sample libraries, quality control was performed on the fastq files to ensure that sequencing reads met preestablished cutoffs for number of reads and quality using FastQC (version 0.11.8) (73) and MultiQC (version 1.8) (74).
    FastQC
    suggested: (FastQC, RRID:SCR_014583)
    MultiQC
    suggested: (MultiQC, RRID:SCR_014982)
    Quality filtering and adapter trimming were performed using BBduk tools (version 38.76, https://sourceforge.net/projects/bbmap).
    https://sourceforge.net/projects/bbmap
    suggested: (BBmap, RRID:SCR_016965)
    Remaining reads were aligned to the ENSEMBL GRCh38 human reference genome assembly (release 33) using STAR (version 2.7.0f) (75), and gene frequencies were counted using featureCounts (version 2.0.0) within the Subread package (76).
    ENSEMBL
    suggested: (Ensembl, RRID:SCR_002344)
    STAR
    suggested: (STAR, RRID:SCR_004463)
    featureCounts
    suggested: (featureCounts, RRID:SCR_012919)
    Comparative analysis of DEGs was performed using a negative binomial distribution model used by DESeq2 (version 1.28.1) (77) as implemented in R (version 4.0.3).
    DESeq2
    suggested: (DESeq, RRID:SCR_000154)
    Hierarchical clustering of DEGs and visualization were performed using the ComplexHeatmap (version 2.4.2) and pheatmap package (version 1.0.12).
    ComplexHeatmap
    suggested: (ComplexHeatmap, RRID:SCR_017270)
    pheatmap
    suggested: (pheatmap, RRID:SCR_016418)
    Identified DEGs were analyzed by STRING to identify predicted protein-protein interaction networks as well as enriched pathway analysis (https://string-db.org/).
    STRING
    suggested: (STRING, RRID:SCR_005223)
    Statistics: All data were plotted and quantitative analyses performed using GraphPad Prism 8 software.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.