CoChat
Sign Up
Cited by 541interferon and immune responsesSARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

The cGAS–STING pathway drives type I IFN immunopathology in COVID-19

Open access
Domizio, Jeremy Di, Gulen, Muhammet F., Saidoune, Fanny, Thacker, Vivek V., Yatim, Ahmad, Sharma, Kunal, Nass, Théo, Guenova, Emmanuella, Schaller, Martin, Conrad, Curdin, Goepfert, Christine, de Leval, Laurence, Garnier, Christophe von, Berezowska, Sabina, Dubois, Anaëlle, Gilliet, Michel, Ablasser, Andrea·2022·Nature
DOI 10.1038/s41586-022-04421-wPMC PMC8891013
Open this paper in CoChat — free accountOpen PDF

Abstract

COVID-19, which is caused by infection with SARS-CoV-2, is characterized by lung pathology and extrapulmonary complications 1,2 . Type I interferons (IFNs) have an essential role in the pathogenesis of COVID-19 (refs 3–5 ). Although rapid induction of type I IFNs limits virus propagation, a sustained increase in the levels of type I IFNs in the late phase of the infection is associated with aberrant inflammation and poor clinical outcome 5–17 . Here we show that the cyclic GMP-AMP synthase (cGAS)–stimulator of interferon genes (STING) pathway, which controls immunity to cytosolic DNA, is a critical driver of aberrant type I IFN responses in COVID-19 (ref. 18 ). Profiling COVID-19 skin manifestations, we uncover a STING-dependent type I IFN signature that is primarily mediated by macrophages adjacent to areas of endothelial cell damage. Moreover, cGAS–STING activity was detected in lung samples from patients with COVID-19 with prominent tissue destruction, and was associated with type I IFN responses. A lung-on-chip model revealed that, in addition to macrophages, infection with SARS-CoV-2 activates cGAS–STING signalling in endothelial cells through mitochondrial DNA release, which leads to cell death and type I IFN production. In mice, pharmacological inhibition of STING reduces severe lung inflammation induced by SARS-CoV-2 and improves disease outcome. Collectively, our study establishes a mechanistic basis of pathological type I IFN responses in COVID-19 and reveals a principle for the development of host-directed therapeutics.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41586-022-04421-w

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Type I IFN-producing macrophages surround damaged endothelial cells in COVID-19 skin lesions. a, Immune gene expression profiles of skin lesions from individuals with COVID-19 (n = 10) and individuals with CLE (n = 11), and skin from healthy donors (HD; n = 5). Unbiased clustering was performed. b, Immunohistochemistry quantification of macrophages, neutrophils, plasmacytoid dendritic cells (pDCs) and T cells (stained for CD163, MPO, CD123 and CD3) in CLE (n = 5) and COVID-19 (n = 10) skin lesions. c, Confocal microscopy images of representative COVID-19 skin lesion stained for CD163 (green) and IFNβ (red). Scale bars, 20 μm. d, Contribution of CD163+ macrophages and CD31+ endothelial cells to IFNβ expression in CLE (n = 5) and COVID-19 (n = 10). e, Confocal microscopy images of representative COVID-19 skin lesion stained for CD31 (green) and IFNβ (red). Scale bars, 20 μm. f, Proportions of CD163+ macrophages, CD31+ endothelial cells and other cells among IFNβ-producing cells for each CLE and COVID-19 sample. g, Confocal microscopy images of a representative COVID-19 skin sample stained for CD163 (green) and CD31 (red) to depict macrophages and endothelial cells. Scale bar, 50 μm. h, Transmission electron microscopy of dermal vessels in purpuro-necrotic (left) and maculopapular (middle) COVID-19 skin lesions, and in healthy skin (right). Arrows show disrupted endothelial cells (COVID-19 skin lesions) and intact endothelial cells (healthy skin). Scale bars, 2 μm (left); 5 μm (middle); 1 μm (right). i, Immunohistochemistry for cleaved caspase-3 (cl. caspase-3) in COVID-19 skin lesions (nuclear staining indicated by arrow). Scale bar, 20 μm. j, Percentage of CD31+ endothelial cells with cleaved caspase-3 staining in healthy skin (n = 8) and in CLE (n = 6) and COVID-19 (n = 10) skin lesions. k, Correlation between cleaved-caspase-3-positive nuclei and overall staining intensity of IFNβ measured in COVID-19 skin samples (n = 8). Spearman correlation and two-tailed statistical significance were performed. Data are mean ± s.d. (b, d, j). P values obtained with two-tailed Student’s t-test and one-way ANOVA followed by Tukey’s multiple comparisons test (b, d, j). Source data
Fig. 1 Type I IFN-producing macrophages surround damaged endothelial cells in COVID-19 skin lesions. a, Immune gene expression profiles of skin lesions from individuals with COVID-19 (n = 10) and individuals with CLE (n = 11), and skin from healthy donors (HD; n = 5). Unbiased clustering was performed. b, Immunohistochemistry quantification of macrophages, neutrophils, plasmacytoid dendritic cells (pDCs) and T cells (stained for CD163, MPO, CD123 and CD3) in CLE (n = 5) and COVID-19 (n = 10) skin lesions. c, Confocal microscopy images of representative COVID-19 skin lesion stained for CD163 (green) and IFNβ (red). Scale bars, 20 μm. d, Contribution of CD163+ macrophages and CD31+ endothelial cells to IFNβ expression in CLE (n = 5) and COVID-19 (n = 10). e, Confocal microscopy images of representative COVID-19 skin lesion stained for CD31 (green) and IFNβ (red). Scale bars, 20 μm. f, Proportions of CD163+ macrophages, CD31+ endothelial cells and other cells among IFNβ-producing cells for each CLE and COVID-19 sample. g, Confocal microscopy images of a representative COVID-19 skin sample stained for CD163 (green) and CD31 (red) to depict macrophages and endothelial cells. Scale bar, 50 μm. h, Transmission electron microscopy of dermal vessels in purpuro-necrotic (left) and maculopapular (middle) COVID-19 skin lesions, and in healthy skin (right). Arrows show disrupted endothelial cells (COVID-19 skin lesions) and intact endothelial cells (healthy skin). Scale bars, 2 μm (left); 5 μm (middle); 1 μm (right). i, Immunohistochemistry for cleaved caspase-3 (cl. caspase-3) in COVID-19 skin lesions (nuclear staining indicated by arrow). Scale bar, 20 μm. j, Percentage of CD31+ endothelial cells with cleaved caspase-3 staining in healthy skin (n = 8) and in CLE (n = 6) and COVID-19 (n = 10) skin lesions. k, Correlation between cleaved-caspase-3-positive nuclei and overall staining intensity of IFNβ measured in COVID-19 skin samples (n = 8). Spearman correlation and two-tailed statistical significance were performed. Data are mean ± s.d. (b, d, j). P values obtained with two-tailed Student’s t-test and one-way ANOVA followed by Tukey’s multiple comparisons test (b, d, j). Source dataCC BY · PubMed Central
Fig. 2 cGAS–STING-dependent type I IFN signature in COVID-19 skin and lung pathology. a, Confocal microscopy images of a representative COVID-19 skin sample stained for CD163 (green), IFNB1 mRNA (red) and DNA (blue). Scale bars, 10 μm. Arrows indicate cytosolic DNA particles. b, Quantification of CD163+ macrophages containing cytosolic DNA particles in COVID-19 skin lesions (n = 10) and in healthy skin (n = 9). c, Quantification of cGAMP in lysates of COVID-19 skin lesions (n = 10) and healthy skin (n = 3). d, Confocal microscopy images of a representative COVID-19 skin sample stained for CD163 (green) and p-STING (red). Blood vessels, dashed line. Arrows show p-STING+ endothelial cells. Scale bars, 20 μm (left); 5 μm (right two images). e, Quantification of p-STING+ macrophages in COVID-19 skin lesions (n = 10) and in healthy skin (n = 10). f, Confocal microscopy images of a representative COVID-19 skin sample stained for CD31 (green) and p-STING (red). Blood vessels, dashed line. Scale bars, 20 μm. g, Proportions of CD163+ macrophages and CD31+ endothelial cells among p-STING+ cells in COVID-19 skin lesions (n = 7). h, Expression of ISGs (IFI35, IRF7 and MX1) in cultured healthy skin (n = 3) and COVID-19 skin explants (n = 3), treated or not with H-151. i, Confocal microscopy images of representative post-mortem lungs with early (fewer than 10 days; left) or late (more than 14 days, right) DAD, stained for p-STING (red) and CD163 (green). Scale bars (left to right): 20 μm, 10 μm, 50 μm, 10 μm. j, Quantification of p-STING+CD163+ macrophages in post-mortem lungs with early and late DAD (n = 4). k, Immunohistochemistry of representative post-mortem lungs with early (left) or late (right) DAD, stained for MxA. Scale bar, 50 μm. l, Percentage of tissue area with MxA positivity in early and late DAD samples (n = 4). Data are mean ± s.d. (b, c, e, h, j, l). P values obtained with two-tailed Student’s t-test (c, e, h, j, l) and with Mann–Whitney test (b). Source data
Fig. 2 cGAS–STING-dependent type I IFN signature in COVID-19 skin and lung pathology. a, Confocal microscopy images of a representative COVID-19 skin sample stained for CD163 (green), IFNB1 mRNA (red) and DNA (blue). Scale bars, 10 μm. Arrows indicate cytosolic DNA particles. b, Quantification of CD163+ macrophages containing cytosolic DNA particles in COVID-19 skin lesions (n = 10) and in healthy skin (n = 9). c, Quantification of cGAMP in lysates of COVID-19 skin lesions (n = 10) and healthy skin (n = 3). d, Confocal microscopy images of a representative COVID-19 skin sample stained for CD163 (green) and p-STING (red). Blood vessels, dashed line. Arrows show p-STING+ endothelial cells. Scale bars, 20 μm (left); 5 μm (right two images). e, Quantification of p-STING+ macrophages in COVID-19 skin lesions (n = 10) and in healthy skin (n = 10). f, Confocal microscopy images of a representative COVID-19 skin sample stained for CD31 (green) and p-STING (red). Blood vessels, dashed line. Scale bars, 20 μm. g, Proportions of CD163+ macrophages and CD31+ endothelial cells among p-STING+ cells in COVID-19 skin lesions (n = 7). h, Expression of ISGs (IFI35, IRF7 and MX1) in cultured healthy skin (n = 3) and COVID-19 skin explants (n = 3), treated or not with H-151. i, Confocal microscopy images of representative post-mortem lungs with early (fewer than 10 days; left) or late (more than 14 days, right) DAD, stained for p-STING (red) and CD163 (green). Scale bars (left to right): 20 μm, 10 μm, 50 μm, 10 μm. j, Quantification of p-STING+CD163+ macrophages in post-mortem lungs with early and late DAD (n = 4). k, Immunohistochemistry of representative post-mortem lungs with early (left) or late (right) DAD, stained for MxA. Scale bar, 50 μm. l, Percentage of tissue area with MxA positivity in early and late DAD samples (n = 4). Data are mean ± s.d. (b, c, e, h, j, l). P values obtained with two-tailed Student’s t-test (c, e, h, j, l) and with Mann–Whitney test (b). Source dataCC BY · PubMed Central
Fig. 3 STING-dependent type I IFN production and cell death after SARS-CoV-2 infection in endothelial cells. a, Schematic of the three-cell component LoC model. b, c, Representative 3D images of the vascular face of uninfected or SARS-CoV-2-infected LoCs with or without vascular H-151 perfusion. ‘3C’, three-cell component (epithelial cells, endothelial cells and macrophages) in b; ‘2C’, two-cell component (epithelial cells and endothelial cells) in c. CD45+ macrophage (green), IFNβ (bright pink), cleaved caspase-3 (amber), actin (azure) and nuclear (purple) stainings are shown. Scale bars, 20 μm. d, Representative 3D images of p-STING+ endothelial cells (yellow). Scale bars, 20 μm. e, Expression levels of the indicated genes in uninfected (n = 4), infected (n = 5) and H-151-treated (n = 5) LoCs. CD31 is also known as PECAM1. RE, relative expression. f, Representative volumetric electron microscopy images, 3D reconstructions and quantification of the surface-area-to-volume ratio of endothelial cell mitochondria from uninfected (n = 45) and infected (n = 43) LoCs. Solid line, mean; dashed lines, quartiles. Scale bars, 1 μm (left images); grey hexagons (middle images) represent 1 μm3. g, Representative 3D images of the vascular face of infected LoCs with or without vascular VBIT-4 perfusion. Scale bars, 50 μm. Statistics for quantification: b, IFNβ: uninfected (n = 6 fields of view (FOV)), infected (n = 7 FOV) and H-151-treated (n = 4 FOV) LoCs, n = 2 LoCs each; c, IFNβ/cleaved caspase-3: infected (n = 4 FOV in each case) and H-151-treated (n = 4/n = 5 FOV) LoCs, n = 2 LoCs each for both markers; f, data from n = 4 endothelial cells each from n = 1 uninfected and n = 2 infected LoCs; g, IFNβ: infected (n = 7 FOV) and VBIT-4-treated (n = 6 FOV) LoCs, n = 2 LoCs each. Data acquired at 3 dpi; mean ± s.e.m.; P values calculated by one-way ANOVA followed by Tukey’s multiple comparisons tests (b, c, e) or two-tailed Mann–Whitney test (f, g). Source data
Fig. 3 STING-dependent type I IFN production and cell death after SARS-CoV-2 infection in endothelial cells. a, Schematic of the three-cell component LoC model. b, c, Representative 3D images of the vascular face of uninfected or SARS-CoV-2-infected LoCs with or without vascular H-151 perfusion. ‘3C’, three-cell component (epithelial cells, endothelial cells and macrophages) in b; ‘2C’, two-cell component (epithelial cells and endothelial cells) in c. CD45+ macrophage (green), IFNβ (bright pink), cleaved caspase-3 (amber), actin (azure) and nuclear (purple) stainings are shown. Scale bars, 20 μm. d, Representative 3D images of p-STING+ endothelial cells (yellow). Scale bars, 20 μm. e, Expression levels of the indicated genes in uninfected (n = 4), infected (n = 5) and H-151-treated (n = 5) LoCs. CD31 is also known as PECAM1. RE, relative expression. f, Representative volumetric electron microscopy images, 3D reconstructions and quantification of the surface-area-to-volume ratio of endothelial cell mitochondria from uninfected (n = 45) and infected (n = 43) LoCs. Solid line, mean; dashed lines, quartiles. Scale bars, 1 μm (left images); grey hexagons (middle images) represent 1 μm3. g, Representative 3D images of the vascular face of infected LoCs with or without vascular VBIT-4 perfusion. Scale bars, 50 μm. Statistics for quantification: b, IFNβ: uninfected (n = 6 fields of view (FOV)), infected (n = 7 FOV) and H-151-treated (n = 4 FOV) LoCs, n = 2 LoCs each; c, IFNβ/cleaved caspase-3: infected (n = 4 FOV in each case) and H-151-treated (n = 4/n = 5 FOV) LoCs, n = 2 LoCs each for both markers; f, data from n = 4 endothelial cells each from n = 1 uninfected and n = 2 infected LoCs; g, IFNβ: infected (n = 7 FOV) and VBIT-4-treated (n = 6 FOV) LoCs, n = 2 LoCs each. Data acquired at 3 dpi; mean ± s.e.m.; P values calculated by one-way ANOVA followed by Tukey’s multiple comparisons tests (b, c, e) or two-tailed Mann–Whitney test (f, g). Source dataCC BY · PubMed Central
Fig. 4 STING inhibition reduces SARS-CoV-2-induced inflammation in mice. a, Schematic of SARS-CoV-2 infection (intranasal; 1 × 104 plaque-forming units (PFU) per mouse) and intraperitoneal administration of vehicle or H-151 (starting at 1 day before infection), related to data from b–d. b, Left, representative haematoxylin and eosin (H&E) images of lungs from vehicle- and H-151-treated mice. Scale bars, 500 μm. Right, average inflamed area in SARS-CoV-2 infected mice. c, mRNA expression levels of the indicated genes in uninfected and infected lungs at 6 dpi, analysed by RT–qPCR. d, Relative weight loss in mice after SARS-CoV-2 infection. e, Schematic of SARS-CoV-2 infection (intranasal; 1 × 104 PFU per mouse) and intraperitoneal administration of vehicle or H-151 (starting at 2 dpi), related to data from f–h. f, Left, representative H&E images of lungs from vehicle- and H-151-treated mice. Scale bars, 500 μm, Right, average inflamed area in SARS-CoV-2 infected mice. g, h, Relative weight loss (g) and survival (h) in mice after SARS-CoV-2 infection with post-infection regimen. Numbers are: a–c, uninfected (n = 4), vehicle and H-151 (n = 7); d, uninfected (n = 8), vehicle and H-151 (n = 12); e–g, uninfected, vehicle and H-151 (n = 5); h, vehicle and H-151 (n = 15). Throughout the figure, data are mean ± s.e.m.; P values calculated by one-way ANOVA followed by Tukey multiple comparison tests (b, c, d, f, g), or by Mantel–Cox survival analysis (h). Mice infected with SARS-CoV-2 were age-matched (12–16 weeks) female K18-hACE2 mice. Source data
Fig. 4 STING inhibition reduces SARS-CoV-2-induced inflammation in mice. a, Schematic of SARS-CoV-2 infection (intranasal; 1 × 104 plaque-forming units (PFU) per mouse) and intraperitoneal administration of vehicle or H-151 (starting at 1 day before infection), related to data from b–d. b, Left, representative haematoxylin and eosin (H&E) images of lungs from vehicle- and H-151-treated mice. Scale bars, 500 μm. Right, average inflamed area in SARS-CoV-2 infected mice. c, mRNA expression levels of the indicated genes in uninfected and infected lungs at 6 dpi, analysed by RT–qPCR. d, Relative weight loss in mice after SARS-CoV-2 infection. e, Schematic of SARS-CoV-2 infection (intranasal; 1 × 104 PFU per mouse) and intraperitoneal administration of vehicle or H-151 (starting at 2 dpi), related to data from f–h. f, Left, representative H&E images of lungs from vehicle- and H-151-treated mice. Scale bars, 500 μm, Right, average inflamed area in SARS-CoV-2 infected mice. g, h, Relative weight loss (g) and survival (h) in mice after SARS-CoV-2 infection with post-infection regimen. Numbers are: a–c, uninfected (n = 4), vehicle and H-151 (n = 7); d, uninfected (n = 8), vehicle and H-151 (n = 12); e–g, uninfected, vehicle and H-151 (n = 5); h, vehicle and H-151 (n = 15). Throughout the figure, data are mean ± s.e.m.; P values calculated by one-way ANOVA followed by Tukey multiple comparison tests (b, c, d, f, g), or by Mantel–Cox survival analysis (h). Mice infected with SARS-CoV-2 were age-matched (12–16 weeks) female K18-hACE2 mice. Source dataCC BY · PubMed Central
Extended Data Fig. 1 Clinical characteristics of patients with COVID-19 with associated skin manifestations. a, Photographs of the skin lesions. b, Clinical parameters and demographics of the 10 patients with COVID-19 selected for this study. HRD, Heart Rhythm Disorder; Overweight (BMI > 25 kg/m2, but < 30 kg/m2); COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; DM, diabetes mellitus; AIH, autoimmune hepatitis.
Extended Data Fig. 1 Clinical characteristics of patients with COVID-19 with associated skin manifestations. a, Photographs of the skin lesions. b, Clinical parameters and demographics of the 10 patients with COVID-19 selected for this study. HRD, Heart Rhythm Disorder; Overweight (BMI > 25 kg/m2, but < 30 kg/m2); COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; DM, diabetes mellitus; AIH, autoimmune hepatitis.CC BY · PubMed Central
Extended Data Fig. 2 Immune gene expression profiling of COVID-19 skin lesions and common inflammatory skin diseases. a, Immune gene expression profiles of patients with lichen planus (n = 5), cutaneous lupus erythematosus (CLE, n = 10), COVID-19 associated skin lesions (n = 10), plaque-type psoriasis (n = 21), and atopic dermatitis (AD, n = 16) compared to healthy skin (HD, n = 4) assessed by NanoString assay. Differentially expressed genes between different pairwise comparisons (i.e. each disease group vs other skin inflammatory diseases) were used to generate disease-related gene signatures. P value < 0.05, and fold change > 2 were used as cutoffs to choose specific classifiers. b, Volcano plot of upregulated genes in COVID-19 compared with CLE skin lesions. Source data
Extended Data Fig. 2 Immune gene expression profiling of COVID-19 skin lesions and common inflammatory skin diseases. a, Immune gene expression profiles of patients with lichen planus (n = 5), cutaneous lupus erythematosus (CLE, n = 10), COVID-19 associated skin lesions (n = 10), plaque-type psoriasis (n = 21), and atopic dermatitis (AD, n = 16) compared to healthy skin (HD, n = 4) assessed by NanoString assay. Differentially expressed genes between different pairwise comparisons (i.e. each disease group vs other skin inflammatory diseases) were used to generate disease-related gene signatures. P value < 0.05, and fold change > 2 were used as cutoffs to choose specific classifiers. b, Volcano plot of upregulated genes in COVID-19 compared with CLE skin lesions. Source dataCC BY · PubMed Central
Extended Data Fig. 3 Macrophages accumulate around vessels exhibiting prominent endotheliopathy in COVID-19 skin lesions. a, Confocal microscopy images of CD3+ T cells, CD123+ plasmacytoid dendritic cells, MPO+ neutrophils, and CD163+ macrophages in skin lesions from CLE (top row) and COVID-19 (bottom row). Images are representative of 10 patients with COVID-19 and 5 patients with CLE. b, Percentages of CD163+ macrophages present at different distances from blood vessel in COVID-19 skin lesions (n = 9). c, Representative histopathology image of a dermal blood vessel in COVID-19 skin lesions (H&E stain). Blood vessel, dashed line. d, Endothelial cell swelling index, a measure of endotheliopathy, quantified in COVID-19 (n = 10) and CLE skin lesions (n = 6). P values were obtained with one-way ANOVA followed by Tukey’s multiple comparison test (b) and two-tailed Student’s t-test (d). Source data
Extended Data Fig. 3 Macrophages accumulate around vessels exhibiting prominent endotheliopathy in COVID-19 skin lesions. a, Confocal microscopy images of CD3+ T cells, CD123+ plasmacytoid dendritic cells, MPO+ neutrophils, and CD163+ macrophages in skin lesions from CLE (top row) and COVID-19 (bottom row). Images are representative of 10 patients with COVID-19 and 5 patients with CLE. b, Percentages of CD163+ macrophages present at different distances from blood vessel in COVID-19 skin lesions (n = 9). c, Representative histopathology image of a dermal blood vessel in COVID-19 skin lesions (H&E stain). Blood vessel, dashed line. d, Endothelial cell swelling index, a measure of endotheliopathy, quantified in COVID-19 (n = 10) and CLE skin lesions (n = 6). P values were obtained with one-way ANOVA followed by Tukey’s multiple comparison test (b) and two-tailed Student’s t-test (d). Source dataCC BY · PubMed Central
Extended Data Fig. 4 Perivascular macrophages engulf dying cells. a, b, Confocal microscopy images of representative COVID-19 skin lesion stained for CD163 (green), cleaved caspase-3 (red) and DNA (DAPI). Images are representative of 10 patients with COVID-19. Blood vessel, dashed line.
Extended Data Fig. 4 Perivascular macrophages engulf dying cells. a, b, Confocal microscopy images of representative COVID-19 skin lesion stained for CD163 (green), cleaved caspase-3 (red) and DNA (DAPI). Images are representative of 10 patients with COVID-19. Blood vessel, dashed line.CC BY · PubMed Central
Extended Data Fig. 5 Patient characteristics and histopathological analyses of a post-mortem COVID-19-affected lung. a, Representative histopathology image of a COVID-19 lung in the early phase of DAD with extensive hyaline membranes (left) or in the late phase of DAD with fibrosis obliterating the alveolar lumina (right) (H&E stain). Arrows indicate hyaline membranes. b, Clinical parameters of the 8 patients with COVID-19 selected for the study. HC, hydroxychloroquine; Phase of the diffuse alveolar damage defined based on pure presence of hyaline membranes (exudative) or fibrotic changes (proliferative); * limit of detection is 20.8 copies per reaction (c/r) for RdRp gene, and 5.4 c/r for E gene; ** spike and nucleocapsid antibody; MxA-staining defined as high (>50% cells with intermediate to strong positive staining), or low (< 50%). c, Confocal microscopy images of representative COVID-19 lung section stained for CD31 (green) and p-STING (red). Arrow indicates an endothelial cell with activated STING. d, Proportions of CD163+ macrophages and CD31+ endothelial cells among p-STING+ cells in COVID-19 lungs (n = 4). Source data
Extended Data Fig. 5 Patient characteristics and histopathological analyses of a post-mortem COVID-19-affected lung. a, Representative histopathology image of a COVID-19 lung in the early phase of DAD with extensive hyaline membranes (left) or in the late phase of DAD with fibrosis obliterating the alveolar lumina (right) (H&E stain). Arrows indicate hyaline membranes. b, Clinical parameters of the 8 patients with COVID-19 selected for the study. HC, hydroxychloroquine; Phase of the diffuse alveolar damage defined based on pure presence of hyaline membranes (exudative) or fibrotic changes (proliferative); * limit of detection is 20.8 copies per reaction (c/r) for RdRp gene, and 5.4 c/r for E gene; ** spike and nucleocapsid antibody; MxA-staining defined as high (>50% cells with intermediate to strong positive staining), or low (< 50%). c, Confocal microscopy images of representative COVID-19 lung section stained for CD31 (green) and p-STING (red). Arrow indicates an endothelial cell with activated STING. d, Proportions of CD163+ macrophages and CD31+ endothelial cells among p-STING+ cells in COVID-19 lungs (n = 4). Source dataCC BY · PubMed Central
Extended Data Fig. 6 Responses from distinct cell types after SARS-CoV-2 infection in the LoC system. a, mRNA expression levels of SARS-CoV-2 N gene in epithelial and endothelial cells at 3 dpi in 2-cell component LoCs. b, Representative 3D views of the airway surface of a LoC infected with SARS-CoV-2 at 3 dpi. Areas with high levels of IFNβ (bright pink) are shown as surfaces. Macrophage surfaces are depicted in green, and nuclear labelling in purple. c, mRNA expression levels of indicated genes in the epithelial cells at 3 dpi in uninfected (n = 3), infected (n = 5), and H-151-treated (n = 5) 2-cell component LoCs. d, Representative 3D views of the vascular face from uninfected and infected LoCs; PMA-activated WT and cGAS−/− THP-1 cells were added to vascular layer 2 days after infection. LoCs were analysed at 3 dpi by quantifying the total volume with high IFNβ expression/volume with high IFNβ expression within macrophages from uninfected (n = 6/ n = 4 fields of view), infected chips with WT THP-1 cells added (n = 9/ n = 6 fields of view) and infected chips with cGAS−/− THP-1 cells added (n = 6/ n = 5 fields of view) across n = 2 LoCs in each case. e, Representative 3D views of the vascular face from uninfected and infected 3-component LoCs; volumes with high levels of cleaved caspase-3 (amber) are shown as surfaces. Quantification of the total volume with high cleaved caspase-3 expression from uninfected (n = 3 fields of view) and infected (n = 5 fields of view) from n = 1 LoC in each case. ‘3C’ refers to 3-cell component (epithelial cells, endothelial cells, and macrophages) LoCs. Bars represent mean ± s.e.m.; P values were calculated by a two-tailed Mann–Whitney test (a) or one-way ANOVA followed by Tukey’s multiple comparison tests (c, d). Source data
Extended Data Fig. 6 Responses from distinct cell types after SARS-CoV-2 infection in the LoC system. a, mRNA expression levels of SARS-CoV-2 N gene in epithelial and endothelial cells at 3 dpi in 2-cell component LoCs. b, Representative 3D views of the airway surface of a LoC infected with SARS-CoV-2 at 3 dpi. Areas with high levels of IFNβ (bright pink) are shown as surfaces. Macrophage surfaces are depicted in green, and nuclear labelling in purple. c, mRNA expression levels of indicated genes in the epithelial cells at 3 dpi in uninfected (n = 3), infected (n = 5), and H-151-treated (n = 5) 2-cell component LoCs. d, Representative 3D views of the vascular face from uninfected and infected LoCs; PMA-activated WT and cGAS−/− THP-1 cells were added to vascular layer 2 days after infection. LoCs were analysed at 3 dpi by quantifying the total volume with high IFNβ expression/volume with high IFNβ expression within macrophages from uninfected (n = 6/ n = 4 fields of view), infected chips with WT THP-1 cells added (n = 9/ n = 6 fields of view) and infected chips with cGAS−/− THP-1 cells added (n = 6/ n = 5 fields of view) across n = 2 LoCs in each case. e, Representative 3D views of the vascular face from uninfected and infected 3-component LoCs; volumes with high levels of cleaved caspase-3 (amber) are shown as surfaces. Quantification of the total volume with high cleaved caspase-3 expression from uninfected (n = 3 fields of view) and infected (n = 5 fields of view) from n = 1 LoC in each case. ‘3C’ refers to 3-cell component (epithelial cells, endothelial cells, and macrophages) LoCs. Bars represent mean ± s.e.m.; P values were calculated by a two-tailed Mann–Whitney test (a) or one-way ANOVA followed by Tukey’s multiple comparison tests (c, d). Source dataCC BY · PubMed Central
Extended Data Fig. 7 Effect of innate immune sensors on endothelial cell response after SARS-CoV-2 infection in the LoC model. a, Representative images of the epithelial and endothelial cells on LoC infected with SARS-CoV-2 at 3 dpi (above). Western blot characterization of STING expression in epithelial and endothelial cells treated with control (ctrl) and STING shRNAs (below, left). Modal value of CD31 expression in the endothelial layer of LoCs reconstituted with control or STING shRNA treated epithelial or endothelial cells (below, right). Each data point was calculated from a maximum intensity projection of CD31 expression from n = 7 (sh Ctrl - epithelial/sh STING - endothelial), n = 8 (sh Ctrl – epithelial/sh Ctrl – endothelial and sh STING – epithelial/sh Ctrl – endothelial) and n = 9 (sh STING – epithelial/sh STING = endothelial) fields of view from n = 1 LoC in each case. b, Representative 3D views at 3 dpi of the vascular surface of a LoCs reconstituted with endothelial cells treated with ctrl or MAVS shRNA and infected with SARS-CoV-2. Volumes with high levels of IFNβ (bright pink) are shown as surfaces. Quantification of the volume with high IFNβ expression from ctrl (n = 5 fields of view) and MAVS shRNA (n = 4 fields of view) from n = 1 LoC in each case. Reduction of MAVS mRNA in endothelial cells after shRNA transduction (right). ‘2C’ refers to 2-cell component (epithelial cells, endothelial cells) LoCs. Bars represent mean ± s.e.m.; P values were calculated by a one-way ANOVA test followed by Tukey multiple comparison tests (a) or a two-tailed Mann–Whitney test (b). For gel source data, see Supplementary Fig. 1. Source data
Extended Data Fig. 7 Effect of innate immune sensors on endothelial cell response after SARS-CoV-2 infection in the LoC model. a, Representative images of the epithelial and endothelial cells on LoC infected with SARS-CoV-2 at 3 dpi (above). Western blot characterization of STING expression in epithelial and endothelial cells treated with control (ctrl) and STING shRNAs (below, left). Modal value of CD31 expression in the endothelial layer of LoCs reconstituted with control or STING shRNA treated epithelial or endothelial cells (below, right). Each data point was calculated from a maximum intensity projection of CD31 expression from n = 7 (sh Ctrl - epithelial/sh STING - endothelial), n = 8 (sh Ctrl – epithelial/sh Ctrl – endothelial and sh STING – epithelial/sh Ctrl – endothelial) and n = 9 (sh STING – epithelial/sh STING = endothelial) fields of view from n = 1 LoC in each case. b, Representative 3D views at 3 dpi of the vascular surface of a LoCs reconstituted with endothelial cells treated with ctrl or MAVS shRNA and infected with SARS-CoV-2. Volumes with high levels of IFNβ (bright pink) are shown as surfaces. Quantification of the volume with high IFNβ expression from ctrl (n = 5 fields of view) and MAVS shRNA (n = 4 fields of view) from n = 1 LoC in each case. Reduction of MAVS mRNA in endothelial cells after shRNA transduction (right). ‘2C’ refers to 2-cell component (epithelial cells, endothelial cells) LoCs. Bars represent mean ± s.e.m.; P values were calculated by a one-way ANOVA test followed by Tukey multiple comparison tests (a) or a two-tailed Mann–Whitney test (b). For gel source data, see Supplementary Fig. 1. Source dataCC BY · PubMed Central
Extended Data Fig. 8 Disruption of mitochondrial homeostasis in endothelial cells after SARS-CoV-2 infection. a, Functional interactions between proteins with significantly altered expression identified by a pairwise analysis depicted via an interaction network generated from StringDB and clustered with the MCL algorithm. Functional annotations (GO Biological Processes/ KEGG pathways) relevant to mitochondrial function are indicated. b, Heat map of data from mitochondrial proteins with significantly altered expression identified via a time-course analysis. c, d, Serial block scanning electron microscope image of endothelial cells in LoC system (c) or transmission electron microscopy image of endothelial cells in COVID-19 skin lesion (d). Arrows indicate damaged mitochondria with loss of cristae morphology with a magnified inset at bottom right. As control, arrowhead indicates an intact mitochondrium with a magnified inset at top right. e, Representative 3D views at 3 dpi of the vascular surface of a LoCs reconstituted with endothelial cells treated or untreated with 20 μM ddC for 7 days in total and infected with SARS-CoV-2. Total mtDNA in endothelial cells was quantified by qPCR (right). Volumes with high levels of IFNβ (bright pink) are shown as surfaces. Quantification of the volume with high IFNβ expression from infected (n = 11 fields of view) and ddC treated infected (n = 8 fields of view) from n = 1 and n = 2 LoCs respectively. ‘2C’ refers to 2-cell component (epithelial cells, endothelial cells) LoCs. Bars represent mean ± s.e.m.; P values were calculated by a two-tailed Mann–Whitney test (e). Source data
Extended Data Fig. 8 Disruption of mitochondrial homeostasis in endothelial cells after SARS-CoV-2 infection. a, Functional interactions between proteins with significantly altered expression identified by a pairwise analysis depicted via an interaction network generated from StringDB and clustered with the MCL algorithm. Functional annotations (GO Biological Processes/ KEGG pathways) relevant to mitochondrial function are indicated. b, Heat map of data from mitochondrial proteins with significantly altered expression identified via a time-course analysis. c, d, Serial block scanning electron microscope image of endothelial cells in LoC system (c) or transmission electron microscopy image of endothelial cells in COVID-19 skin lesion (d). Arrows indicate damaged mitochondria with loss of cristae morphology with a magnified inset at bottom right. As control, arrowhead indicates an intact mitochondrium with a magnified inset at top right. e, Representative 3D views at 3 dpi of the vascular surface of a LoCs reconstituted with endothelial cells treated or untreated with 20 μM ddC for 7 days in total and infected with SARS-CoV-2. Total mtDNA in endothelial cells was quantified by qPCR (right). Volumes with high levels of IFNβ (bright pink) are shown as surfaces. Quantification of the volume with high IFNβ expression from infected (n = 11 fields of view) and ddC treated infected (n = 8 fields of view) from n = 1 and n = 2 LoCs respectively. ‘2C’ refers to 2-cell component (epithelial cells, endothelial cells) LoCs. Bars represent mean ± s.e.m.; P values were calculated by a two-tailed Mann–Whitney test (e). Source dataCC BY · PubMed Central
Extended Data Fig. 9 Prophylactic STING inhibition reduces pathology and inflammatory gene expression in the late stages of SARS-CoV-2 infection. a–d, Mice were infected with SARS-CoV-2 infection (intranasal; 1x104 PFU/mouse) and intraperitoneal administration of vehicle or H-151 was started at 1 day prior to infection. TUNEL assay performed on the infected lung sections collected at 3 or 6 dpi is shown (a). mRNA levels of indicated genes isolated from uninfected and infected mouse lungs at 6 dpi were analysed by RT–qPCR (b). Tissue lysates from the lungs were subjected to Western blotting (c). Viral burden in the lungs and brains was analysed at 6 dpi by plaque assay for infectious virus (d). Numbers are for a and b uninfected (n = 4), day 3 samples (n = 4), day 6 samples (n = 7); for d, uninfected (n = 4) and infected (n = 5). Throughout the figure, bars represent mean ± s.e.m.; P values were calculated by one-way ANOVA followed by Tukey multiple comparison tests. For gel source data, see Supplementary Fig. 1. Source data
Extended Data Fig. 9 Prophylactic STING inhibition reduces pathology and inflammatory gene expression in the late stages of SARS-CoV-2 infection. a–d, Mice were infected with SARS-CoV-2 infection (intranasal; 1x104 PFU/mouse) and intraperitoneal administration of vehicle or H-151 was started at 1 day prior to infection. TUNEL assay performed on the infected lung sections collected at 3 or 6 dpi is shown (a). mRNA levels of indicated genes isolated from uninfected and infected mouse lungs at 6 dpi were analysed by RT–qPCR (b). Tissue lysates from the lungs were subjected to Western blotting (c). Viral burden in the lungs and brains was analysed at 6 dpi by plaque assay for infectious virus (d). Numbers are for a and b uninfected (n = 4), day 3 samples (n = 4), day 6 samples (n = 7); for d, uninfected (n = 4) and infected (n = 5). Throughout the figure, bars represent mean ± s.e.m.; P values were calculated by one-way ANOVA followed by Tukey multiple comparison tests. For gel source data, see Supplementary Fig. 1. Source dataCC BY · PubMed Central
Extended Data Fig. 10 Therapeutic inhibition of STING reduces pathology and inflammatory gene expression after SARS-CoV-2 infection. a, b, Mice were infected with SARS-CoV-2 infection (intranasal; 1 × 104 PFU per mouse) and intraperitoneal administration of vehicle or H-151 was started at 2 dpi. mRNA was isolated from uninfected and infected mouse lungs and relative expression of indicated genes were analysed by RT–qPCR (a). Viral burden in the lungs and brains was analysed at 6 dpi by plaque assay for infectious virus (b). c, Model of the involvement of the cGAS–STING pathway in severe SARS-CoV-2 infection created with biorender.com. Numbers are uninfected (n = 4), infected (n = 5) (a, b). Throughout the figure, bars represent mean ± s.e.m.; P values were calculated by one-way ANOVA followed by Tukey multiple comparison tests. Source data
Extended Data Fig. 10 Therapeutic inhibition of STING reduces pathology and inflammatory gene expression after SARS-CoV-2 infection. a, b, Mice were infected with SARS-CoV-2 infection (intranasal; 1 × 104 PFU per mouse) and intraperitoneal administration of vehicle or H-151 was started at 2 dpi. mRNA was isolated from uninfected and infected mouse lungs and relative expression of indicated genes were analysed by RT–qPCR (a). Viral burden in the lungs and brains was analysed at 6 dpi by plaque assay for infectious virus (b). c, Model of the involvement of the cGAS–STING pathway in severe SARS-CoV-2 infection created with biorender.com. Numbers are uninfected (n = 4), infected (n = 5) (a, b). Throughout the figure, bars represent mean ± s.e.m.; P values were calculated by one-way ANOVA followed by Tukey multiple comparison tests. Source dataCC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 60 references

Cited by

Sorted by citations

See all 541

Related

Metadata

Authors
Domizio, J. D., Gulen, M. F., Saidoune, F., Thacker, V. V., Yatim, A., Sharma, K., Nass, T., Guenova, E., Schaller, M., Conrad, C., Goepfert, C., de Leval, L., Garnier, C. V., Berezowska, S., Dubois, A., Gilliet, M., & Ablasser, A.
Affiliations
  • École Polytechnique Fédérale de Lausanne (CH)
  • Centre Hospitalier Universitaire Vaudois (CH)
  • University of Tübingen (DE)
  • University of Bern (CH)
Corresponding author
  • Gilliet, Michel
  • Ablasser, Andrea
ORCID
Venue
Nature
Publisher
Springer Science and Business Media LLC
Published
2022-01-19
Volume
603
Issue
7899
Pages
145-151
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
DOI
10.1038/s41586-022-04421-w
PMC
PMC8891013
OpenAlex
W4205252391
Cited by
538
References
60
Citations by year
2026: 63 · 2025: 98 · 2024: 136 · 2023: 141 · 2022: 98
FWCI
45.46
Type
journal article
Language
en
Open access
Licence
Locations
  • Nature (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • SERVAL (Université de Lausanne) (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • BORIS (University Library Bern) (submittedVersion, cc-by)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
  • IRIS (submittedVersion, cc-by)
  • Open Access CRIS of the University of Bern
Funders
  • Novartis Foundation
  • Fondation Acteria
  • European Commission (HORIZON2020, COVID-19)
  • Novartis Stiftung für Medizinisch-Biologische Forschung
  • Fondation Leenaards
  • Université de Lausanne
  • Centre Hospitalier Universitaire Vaudois
  • H2020 European Research Council (804933)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › interferon and immune responses
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
Keywords
COVID-19 pandemic, SARS-CoV-2, cGAS-STING pathway, type I interferon, immunopathology, cytosolic DNA sensing, macrophages, endothelial cells, mitochondrial DNA release, lung inflammation, STING inhibition, host-directed therapeutics, cutaneous manifestations
MeSH terms
COVID-19, SARS-CoV-2, STING Protein, Cyclic Guanosine Monophosphate-Adenosine Monophosphate Synthase, Animals, Cells, Cultured, Disease Models, Animal, DNA, Mitochondrial, Female, Gene Expression Regulation, Humans, Immunity, Innate, Interferon Type I, Lung, Macrophages, Membrane Proteins, Mice, Inbred C57BL, Nucleotidyltransferases, Pneumonia, Skin, Signal Transduction, Disease Progression, Endothelial Cells, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review