Literature DB >> 32563187

Attenuated Interferon and Proinflammatory Response in SARS-CoV-2-Infected Human Dendritic Cells Is Associated With Viral Antagonism of STAT1 Phosphorylation.

Dong Yang1,2, Hin Chu1,2, Yuxin Hou1,2, Yue Chai1,2, Huiping Shuai1,2, Andrew Chak-Yiu Lee1,2, Xi Zhang1,2, Yixin Wang1,2, Bingjie Hu1,2, Xiner Huang1,2, Terrence Tsz-Tai Yuen1,2, Jian-Piao Cai1,2, Jie Zhou1,2, Shuofeng Yuan1,2, Anna Jinxia Zhang1,2, Jasper Fuk-Woo Chan1,2,3,4,5,6, Kwok-Yung Yuen1,2,3,4,5,6.   

Abstract

Clinical manifestations of coronavirus disease 2019 (COVID-19) vary from asymptomatic virus shedding, nonspecific pharyngitis, to pneumonia with silent hypoxia and respiratory failure. Dendritic cells and macrophages are sentinel cells for innate and adaptive immunity that affect the pathogenesis of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). The interplay between SARS-CoV-2 and these cell types remains unknown. We investigated infection and host responses of monocyte-derived dendritic cells (moDCs) and macrophages (MDMs) infected by SARS-CoV-2. MoDCs and MDMs were permissive to SARS-CoV-2 infection and protein expression but did not support productive virus replication. Importantly, SARS-CoV-2 launched an attenuated interferon response in both cell types and triggered significant proinflammatory cytokine/chemokine expression in MDMs but not moDCs. Investigations suggested that this attenuated immune response to SARS-CoV-2 in moDCs was associated with viral antagonism of STAT1 phosphorylation. These findings may explain the mild and insidious course of COVID-19 until late deterioration.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; MDMs; SARS-CoV-2; coronavirus; dendritic cells; macrophages; moDCs

Mesh:

Substances:

Year:  2020        PMID: 32563187      PMCID: PMC7337793          DOI: 10.1093/infdis/jiaa356

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was recently identified as the causative agent of coronavirus disease 2019 (COVID-19) pandemic, affecting more than 4 million patients with over 250 000 deaths globally in less than 6 months [1-4]. Clinical features of COVID-19 in early reports included fever, myalgia, dry cough, dysphonia, fatigue, lymphopenia, and radiological evidence of multifocal peripheral ground-glass lung opacities. About 15% of COVID-19 cases progressed to acute respiratory distress syndromes and multiorgan failure [5]. Extrapulmonary manifestations included diarrhea, anosmia, dysgeusia, meningoencephalitis, thromboembolism, and multisystemic inflammatory syndrome. Despite sharing some clinical manifestations with that of SARS, a large proportion of COVID-19 cases were mildly symptomatic or asymptomatic, which may contribute to the high transmissibility of COVID-19 [6, 7]. Dendritic cells and macrophages are key sentinel cells of the host that play essential roles in the innate and adaptive immune defense. However, a number of viruses, including coronaviruses, are capable of infecting dendritic cells and macrophages to facilitate their replication and dissemination [8-10]. Importantly, we and others have reported that the highly pathogenic human coronaviruses, including SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), triggered aberrant production of proinflammatory cytokines and chemokines in these cell types, which might contribute to viral pathogenesis [11-15]. In agreement with the in vitro findings, increasing monocyte, macrophage, and neutrophil infiltration was found in the lungs of SARS and MERS patients and was associated with elevated serum proinflammatory cytokines, contributing to disease severity and even multiorgan failure due to cytokine storm [16-18]. Similar to SARS, recent studies observed higher levels of cytokines and chemokines in severe COVID-19 cases as compared to mild cases, which is believed to contribute to COVID-19 disease progression and severity [19, 20]. We recently demonstrated that SARS-CoV-2 was capable of infecting the alveolar macrophages in ex vivo human lung tissues [21]. Similarly, SARS-CoV-2 also readily targeted the alveolar macrophages in the lungs of infected golden Syrian hamsters [22]. Additionally, CD68+CD169+ macrophages have been reported to be susceptible to SARS-CoV-2, which could contribute to viral spread, excessive inflammation, and activation-induced lymphocytic cell death during SARS-CoV-2 infection [23]. Despite the critical roles of dendritic cells and macrophages in coronavirus pathogenesis, the interplay between SARS-CoV-2 and these 2 important sentinel cell types remains elusive. In this study, we comprehensively investigated the viral protein expression, replication kinetics, and host response in monocyte-derived dendritic cells (moDCs) and monocyte-derived macrophages (MDMs) upon SARS-CoV-2 infection. We found that despite efficient nucleocapsid (N) protein expression in SARS-CoV-2infected moDCs or MDMs, infectious virus particles were not detected from the culture of both infected cell types. Interestingly, SARS-CoV-2 did not activate any interferon (IFN) gene upregulation, including that of IFN type I, type II, or type III, in both infected moDCs and MDMs. In addition, while SARS-CoV-2 triggered significant proinflammatory cytokines and chemokines expressions from infected MDMs, it did not activate the expression of these genes in the infected moDCs with the exception of IP-10. Further investigations suggested that the attenuated immune activation in SARS-CoV-2infected moDCs was associated with viral antagonism of STAT1 phosphorylation.

METHODS

Cells and Viruses

All cell lines were purchased from the American Type Culture Collection. VeroE6 and Calu3 were maintained in Dulbecco’s Modified Eagle’s Medium (DMEM) and DMEM/F12, respectively, supplemented with 10% fetal bovine serum (FBS), 100 units/mL penicillin, and 100 μg/mL streptomycin. SARS-CoV-2 was isolated from the nasopharyngeal aspirate specimen of a laboratory-confirmed COVID-19 patient in Hong Kong [24]. SARS-CoV was a clinical isolate archived at Department of Microbiology, the University of Hong Kong. Both SARS-CoV-2 (GeneBank accession number: MT230904) and SARS-CoV GZ50 (AY304495) were titered in VeroE6 cells by plaque assays. All experiments involving live SARS-CoV-2 and SARS-CoV followed the approved standard operating procedures of the University of Hong Kong biosafety level-3 facility [24].

Preparation of moDCs and MDMs

Healthy volunteer blood samples were collected from the Hong Kong Red Cross Blood Transfusion Service according to a protocol approved by the institutional review board of the University of Hong Kong. Human peripheral blood mononuclear cells (PBMCs) were isolated from the buffy coats as previously described [25, 26]. MDMs were differentiated from PBMCs by providing RPMI-1640 supplemented with 10% FBS, 100 units/mL penicillin, 100 μg/mL streptomycin, 1% sodium pyruvate, 1% nonessential amino acids, and 1 U/mL granulocyte-macrophage colony-stimulating factor (Cell Sciences) [13]. MoDCs were differentiated and maintained as same condition as MDMs with interleukin-4 (IL-4; R&D systems) [14].

Immunofluorescence Staining and Confocal Microscopy

Immunostaining and confocal microscopy were performed as we previously described with slight modifications [27]. MoDCs and MDMs infected with SARS-CoV-2 or SARS-CoV were washed with phosphate-buffered saline and fixed in 4% paraformaldehyde. For immunostaining, the cells were permeabilized for 10 minutes with 0.2% Triton X-100 and blocked with Dako blocking buffer for 30 minutes at room temperature. The cells were incubated with an in-house rabbit antiserum against SARS-CoV-2 N protein [24] diluted with Dako antibody diluent overnight at 4°C, followed by incubation with Alexa Fluor secondary antibody (Thermo Fisher Scientific) diluted with Dako antibody diluent for 1 hour. The nuclei of cell were stained by 4′,6-diamidino-2-phenylindole (DAPI; Thermo Fisher Scientific) nucleic acid stain for 10 minutes. The slides were imaged with confocal microscopy using a Carl Zeiss LSM 880 system.

Virus Infection of moDCs and MDMs

MoDCs and MDMs were differentiated in complete RPMI-1640 with specific growth factors for 6–7 days before infection. For replication kinetics, cell viability, and host factor expressions (potential entry factors, cytokines, and chemokines) experiments, moDCs and MDMs were infected with SARS-CoV-2 or SARS-CoV at a multiplicity of infection (MOI) of 1 for 2 hours at 37°C. After 2 hours’ incubation, the virus inoculum was washed off and the cells were maintained with fresh RPMI-1640. For immunofluorescence microscopy experiment, moDCs and MDMs cultured in 24-well plates were digested by trypsin and reseeded into chamber slides. After 1 day of culture in full medium, the cells were infected with SARS-CoV-2 or SARS-CoV at an MOI of 10 for 2 hours at 37°C. After 2 hours’ incubation, the virus inoculum was washed off and the cells were maintained with fresh RPMI-1640.

Evaluation of Cell Viability

Cell viability of mock- or virus-infected moDCs and MDMs was determined using CellTiterGlo assays (Promega) according to manufacturer’s instruction. Briefly, the cells were infected with SARS-CoV-2 or SARS-CoV at an MOI of 1 for 2 hours at 37°C. The cells were lysed together with culture supernatant at a 1:1 ratio with CellTiterGlo reagent at the indicated hours post infection and placed on an orbital shaker for 10 minutes to induce cells lysis. The plates were read by measuring the luminescence signal with a Vector X3 multilabel plate reader (PerkinElmer) as we previously described [28].

RNA Extraction and Quantitative Reverse Transcription Polymerase Chain Reaction

To determine the viral genome copy number in cell lysate samples from infected cells, RNA extraction and quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis were performed as previously described [24, 29]. In brief, real-time qRT-PCR was used to quantify SARS-CoV-2 and SARS-CoV genome copy number using QuantiNova Probe One Step RT-PCR kit (Qiagen) with LightCycler 96 Real-Time PCR System (Roche). The primers and probes sequences were designed to recognize viral RNA-dependent RNA polymerase/helicase regions. Forward primer for both SARS-CoV-2 and SARS-CoV: 5′-CGCATACAGTCTTRCAGGCT-3′; reverse primer for both SARS-CoV-2 and SARS-CoV: 5′-GTGTGATGTTGAWATGACATGGTC-3′; SARS-CoV-2–specific probe: 5′-FAM-TTAAGATGTGGTCTTGCATACGTAGAC-IABkFQ-3′; and SARS-CoV–specific probe: 5′-Cy5-CTTCGTTGCGGTGCCTGTGCCTGTATTAGGIAbRQSp-3′. Cellular RNA extraction, reverse transcription, and quantitative PCR were performed as we described previously [21]. For entry factors, cytokines, and chemokines analysis, the cells were lysed using the RLT buffer provided from the RNA extraction kit (Qiagen). The levels of cellular gene expression were normalized to glyceraldehyde-3-phosphate dehydrogenase and presented as fold change in gene expression of infected cells relative to that of mock-infected cells. Entry factors analyzed included angiotensin-converting enzyme 2 (ACE2), transmembrane protease serine 2 (TMPRSS2), FURIN, and dendritic cell-specific intercellular adhesion molecule-3-grabbing nonintegrin (DC-SIGN). Cytokines and chemokines analyzed included IFN-α, IFN-β, IFN-γ, IFN-λ1, tumor necrosis factor-α (TNF-α), IL-6, IL-8, IFN-γ inducible protein-10 (IP-10), monocyte chemoattractant protein-1 (MCP-1), macrophage-inflammatory protein-1α (MIP-1α), regulated upon activation normal T-cell expressed and secreted (RANTES), and IL-1β.

Western Blots and Analysis

Western blots were performed as we previously described with slight modifications [30]. MoDCs and MDMs were infected with SARS-CoV-2 or SARS-CoV at an MOI of 10 at 37°C. At 24 hours post infection, the cells were treated with 1000 IU/mL of recombinant human IFN-α (PBL Assay Science) for 40 minutes and then lysed with RIPA buffer supplemented with protease inhibitor cocktail and phosphatase inhibitor cocktail II (Thermo Fisher Scientific). The expression levels of STAT1, STAT1 phosphotyrosine residue 701 (pSTAT1), and β-actin were detected using anti-STAT1 (catalog number, 610186; BD Biosciences), anti-pSTAT1 (catalog number, 58D6; Cell Signaling Technology), and anti-β-actin (catalog number, A5441; Sigma-Aldrich) primary antibodies, respectively. The intensity of the bands was quantified using Image J software.

Statistical Analysis

Data represent mean and standard deviations. Statistical significance was calculated with 1-way ANOVA or 2-way ANOVA, and was considered significant when P < .05.

RESULTS

Infection of moDCs and MDMs by SARS-CoV-2

To investigate whether human dendritic cells and macrophages are susceptible to SARS-CoV-2 infection, we isolated and differentiated primary moDCs and MDMs from monocytes of healthy donors, and infected the cells with SARS-CoV-2. The expression of SARS-CoV-2 N protein in the infected moDCs and MDMs was evaluated using immunofluorescence staining and confocal microscopy. Our result demonstrated that SARS-CoV-2 N protein expression was readily detected from both infected moDCs and MDMs, suggesting that both cell types were permissive to SARS-CoV-2 infection (Figure 1). In particular, substantial cell-cell fusion was detected in SARS-CoV-2infected moDCs (Figure 1). Next, we further evaluated the replication kinetics of SARS-CoV-2 in moDCs and MDMs with SARS-CoV included for comparison. As demonstrated in Figure 2, the virus titer in the supernatants and virus genome copy in the cell lysates did not increase over the 72-hour interval in both SARS-CoV-2infected moDCs (Figure 2A) and MDMs (Figure 2B), suggesting that SARS-CoV-2 infection of moDCs and MDMs were abortive. We previously reported that MERS-CoV rapidly triggered substantial apoptosis in primary human T lymphocytes upon virus inoculation even in the absence of productive virus replication [31]. To investigate whether infection of SARS-CoV-2 induce cell death in moDCs and MDMs, we evaluated cell viability upon virus infection by the CellTiterGlo assays. As demonstrated in Figure 2C, SARS-CoV-2 infection resulted in a modest reduction in viability (10%–20%) in the infected moDCs between 24 and 72 hours post inoculation, which was not statistically significant due to sizable donor-to-donor variability. The viability of MDMs was largely unaffected upon SARS-CoV-2 and SARS-CoV infection (Figure 2C). Overall, our result demonstrated that moDCs and MDMs were susceptible to SARS-CoV-2 infection. Both cell types supported viral protein production but did not efficiently support virus replication and generation of infectious virus progenies.
Figure 1.

MoDCs and MDMs were susceptible to SARS-CoV-2 infection. MoDCs and MDMs were challenged with SARS-CoV-2 or SARS-CoV at a MOI of 10. At 24 hours post inoculation, the cells were fixed in 4% paraformaldehyde, permeabilized, and incubated with an in-house rabbit antiserum against SARS-CoV-2 nucleocapsid protein, followed by incubation with Alexa Fluor 488 secondary antibody for 1 hour. The slides were imaged with confocal microscopy using a Carl Zeiss LSM 880 system. Bars represent 20 μm. Abbreviations: MOI, multiplicity of infection; DAPI, 4′,6-diamidino-2-phenylindole; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Figure 2.

Infection of SARS-CoV-2 in moDCs and MDMs was not productive. MoDCs (A) and MDMs (B) were infected with SARS-CoV-2 or SARS-CoV at an MOI of 1. The live infectious virus particles in the supernatants and the viral genome copy in the cell lysates were determined by plaque assays and qRT-PCR, respectively. C, The cell viability of moDCs and MDMs upon SARS-CoV-2 or SARS-CoV infection at an MOI of 1 was quantified at the indicated hours post infection using CellTiterGlo assays. The mean cell viability of SARS-CoV-2– or SARS-CoV–infected cells was compared with that of mock-infected cells at each time point. The results represent mean and standard deviations from 3 individual donors in 3 independent experiments. Statistical significance between the groups was determined with 1-way ANOVA and was consider significant when P < .05. Abbreviations: MOI, multiplicity of infection; PFU, plaque-forming unit; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; qRT-PCR, quantitative reverse transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

MoDCs and MDMs were susceptible to SARS-CoV-2 infection. MoDCs and MDMs were challenged with SARS-CoV-2 or SARS-CoV at a MOI of 10. At 24 hours post inoculation, the cells were fixed in 4% paraformaldehyde, permeabilized, and incubated with an in-house rabbit antiserum against SARS-CoV-2 nucleocapsid protein, followed by incubation with Alexa Fluor 488 secondary antibody for 1 hour. The slides were imaged with confocal microscopy using a Carl Zeiss LSM 880 system. Bars represent 20 μm. Abbreviations: MOI, multiplicity of infection; DAPI, 4′,6-diamidino-2-phenylindole; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. Infection of SARS-CoV-2 in moDCs and MDMs was not productive. MoDCs (A) and MDMs (B) were infected with SARS-CoV-2 or SARS-CoV at an MOI of 1. The live infectious virus particles in the supernatants and the viral genome copy in the cell lysates were determined by plaque assays and qRT-PCR, respectively. C, The cell viability of moDCs and MDMs upon SARS-CoV-2 or SARS-CoV infection at an MOI of 1 was quantified at the indicated hours post infection using CellTiterGlo assays. The mean cell viability of SARS-CoV-2– or SARS-CoVinfected cells was compared with that of mock-infected cells at each time point. The results represent mean and standard deviations from 3 individual donors in 3 independent experiments. Statistical significance between the groups was determined with 1-way ANOVA and was consider significant when P < .05. Abbreviations: MOI, multiplicity of infection; PFU, plaque-forming unit; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; qRT-PCR, quantitative reverse transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

SARS-CoV-2 Infection Modulated the Expression of Entry-Related Host Factors in moDCs and MDMs

To dissect the reason behind the inefficient SARS-CoV-2 replication in moDCs and MDMs, we next assessed the endogenous expression of host factors that are potentially involved in SARS-CoV-2 infection and replication, which included ACE2, TMPRSS2, FURIN, and DC-SIGN. ACE2 was recently identified as the receptor of SARS-CoV-2 [32]. Efficient SARS-CoV-2 entry and replication also depend on host proteases, including TMPRSS2 and FURIN [32, 33]. DC-SIGN was previously suggested as an entry factor for SARS-CoV [34, 35]. Calu3 cells, which efficiently support SARS-CoV-2 replication, were included as a control group for comparison [24]. Our results demonstrated that while moDCs and MDMs expressed less ACE2 and TMPRSS2 than Calu3, they expressed 20- to 60-fold more FURIN than that of Calu3. In addition, moDCs expressed high level of DC-SIGN (Figure 3A). Upon infection, both SARS-CoV-2 and SARS-CoV had a trend to downregulate ACE2 expression in moDCs and MDMs, albeit the difference was only statistically significant in MDMs (Figure 3B). Interestingly, both viruses upregulated FURIN and DC-SIGN expression in moDCs upon infection. In addition, SARS-CoV but not SARS-CoV-2 upregulated the expression of TMPRSS2 in both moDCs and MDMs (Figure 3B). Taken together, our results suggested that the inefficient replication of SARS-CoV-2 in moDCs and MDMs was not a result of expression deficiency in receptor and host protease, and that SARS-CoV-2 infection modulated the expression of these entry-related host factors in the absence of productive virus replication.
Figure 3.

SARS-CoV-2 modulated the differential expression of entry-related host factors in moDCs and MDMs. A, The expression of endogenous ACE2, TMPRSS2, FURIN, and DC-SIGN was evaluated in moDCs and MDMs. Calu3 cells were included as a positive control. B, MoDCs and MDMs were infected with SARS-CoV-2 or SARS-CoV at an MOI of 1. The cell lysates were harvested to detect expression of entry-related host factors using qRT-PCR at the indicated hours post infection. The expression of entry-related host factors in SARS-CoV-2–infected or SARS-CoV–infected cells was compared with that of mock-infected cells at each time point. The results represent mean and standard deviations from 3 to 6 individual donors in 3 independent experiments. Statistical significance between groups was determined with 1-way ANOVA and was consider significant when P < .05. * P < .05, ** P < .01, *** P < .001, **** P < .0001. Abbreviations: MOI, multiplicity of infection; ACE2, angiotensin-converting enzyme 2; TMPRSS2; transmembrane protease serine 2; DC-SIGN, dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; qRT-PCR, quantitative reverse transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

SARS-CoV-2 modulated the differential expression of entry-related host factors in moDCs and MDMs. A, The expression of endogenous ACE2, TMPRSS2, FURIN, and DC-SIGN was evaluated in moDCs and MDMs. Calu3 cells were included as a positive control. B, MoDCs and MDMs were infected with SARS-CoV-2 or SARS-CoV at an MOI of 1. The cell lysates were harvested to detect expression of entry-related host factors using qRT-PCR at the indicated hours post infection. The expression of entry-related host factors in SARS-CoV-2infected or SARS-CoVinfected cells was compared with that of mock-infected cells at each time point. The results represent mean and standard deviations from 3 to 6 individual donors in 3 independent experiments. Statistical significance between groups was determined with 1-way ANOVA and was consider significant when P < .05. * P < .05, ** P < .01, *** P < .001, **** P < .0001. Abbreviations: MOI, multiplicity of infection; ACE2, angiotensin-converting enzyme 2; TMPRSS2; transmembrane protease serine 2; DC-SIGN, dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; qRT-PCR, quantitative reverse transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

SARS-CoV-2 Infection Did Not Activate IFN Response in moDCs and MDMs But Triggered Significant Proinflammatory Response in MDMs

We next investigated the expression profile of representative IFN and proinflammatory cytokines and chemokines in moDCs and MDMs upon SARS-CoV-2 infection. Importantly, SARS-CoV-2 did not activate any IFN response, including that of IFN type I (IFN-α and IFN-β), IFN type II (IFN-γ), and IFN type III (IFN-λ1), from infected moDCs and MDMs (Figure 4). Intriguingly, in SARS-CoV-2infected but not SARS-CoVinfected MDMs, the expression of IFN type I (IFN-α and IFN-β) and IFN type III (IFN-λ1) was even lower than that of the mock-infected MDMs at 24 hours post infection (Figure 4). In parallel, our data suggested that the expression of proinflammatory cytokines and chemokines was not substantially triggered by SARS-CoV-2 infection in moDCs. Specifically, among the 8 representative cytokine/chemokine evaluated, SARS-CoV-2 only significantly upregulated the expression of IP-10 (3.3-fold, P = .015) (Figure 5A). In contrast, SARS-CoV-2 significantly activated the expression of 5 of the 8 (5/8 or 62.5%) evaluated proinflammatory cytokine/chemokine in MDMs, including that of TNF-α, IL-8, IP-10, MIP-1α, and IL-1β. The most upregulated proinflammatory cytokine/chemokine in MDMs by SARS-CoV-2 infection was again IP-10 (7.0-fold, P = .003) (Figure 5B). Collectively, these findings demonstrated that SARS-CoV-2 infection did not activate IFN type I, II, or III response in moDCs and MDMs. In addition, while SARS-CoV-2 triggered significant proinflammatory cytokine/chemokine expressions in the infected MDMs, the proinflammatory response in moDCs upon SARS-CoV-2 infection was largely absent.
Figure 4.

Attenuated IFN response in SARS-CoV-2–infected moDCs and MDMs. MoDCs and MDMs were inoculated with SARS-CoV-2 or SARS-CoV at an MOI of 1. The cell lysates were harvested for qRT-PCR analysis of type I (IFN-α and IFN-β), II (IFN-γ), and III (IFN-λ1) IFN. The results represent mean and standard deviations from 3 to 6 individual donors in 3 independent experiments. Statistical significance between the groups was determined with 2-way ANOVA and was consider significant when P < .05. * P < .05. Abbreviations: MOI, multiplicity of infection; IFN, interferon; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; qRT-PCR, quantitative reverse transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Figure 5.

SARS-CoV-2 induced significant proinflammatory response in MDMs but not moDCs. MoDCs (A) and MDMs (B) were inoculated with SARS-CoV-2 or SARS-CoV at an MOI of 1. The cell lysates were harvested for qRT-PCR analysis of representative proinflammatory cytokines and chemokines. The results represent mean and standard deviations from 3 to 6 individual donors in 3 independent experiments. Statistical significance between the groups was determined with 2-way ANOVA and was consider significant when P < .05. * P < .05, ** P < .01. Abbreviations: MOI, multiplicity of infection; TNF-α, tumor necrosis factor-α; IP-10, IFN-γ inducible protein-10; MCP-1, monocyte chemoattractant protein-1; MIP-1α, macrophage-inflammatory protein-1α; RANTES, regulated upon activation normal T-cell expressed and secreted; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; qRT-PCR, quantitative reverse transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Attenuated IFN response in SARS-CoV-2infected moDCs and MDMs. MoDCs and MDMs were inoculated with SARS-CoV-2 or SARS-CoV at an MOI of 1. The cell lysates were harvested for qRT-PCR analysis of type I (IFN-α and IFN-β), II (IFN-γ), and III (IFN-λ1) IFN. The results represent mean and standard deviations from 3 to 6 individual donors in 3 independent experiments. Statistical significance between the groups was determined with 2-way ANOVA and was consider significant when P < .05. * P < .05. Abbreviations: MOI, multiplicity of infection; IFN, interferon; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; qRT-PCR, quantitative reverse transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. SARS-CoV-2 induced significant proinflammatory response in MDMs but not moDCs. MoDCs (A) and MDMs (B) were inoculated with SARS-CoV-2 or SARS-CoV at an MOI of 1. The cell lysates were harvested for qRT-PCR analysis of representative proinflammatory cytokines and chemokines. The results represent mean and standard deviations from 3 to 6 individual donors in 3 independent experiments. Statistical significance between the groups was determined with 2-way ANOVA and was consider significant when P < .05. * P < .05, ** P < .01. Abbreviations: MOI, multiplicity of infection; TNF-α, tumor necrosis factor-α; IP-10, IFN-γ inducible protein-10; MCP-1, monocyte chemoattractant protein-1; MIP-1α, macrophage-inflammatory protein-1α; RANTES, regulated upon activation normal T-cell expressed and secreted; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; qRT-PCR, quantitative reverse transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

SARS-CoV-2 Antagonized STAT1 Phosphorylation in moDCs

Despite successful virus entry and protein production, antiviral IFN and proinflammatory response were not triggered by SARS-CoV-2 infection in moDCs, suggesting potential manipulation of the IFN signaling pathways by SARS-CoV-2 infection. To this end, we evaluated the protein expression level of STAT1 and examined the efficiency of STAT1 phosphorylation upon IFN-α treatment with or without SARS-CoV-2 infection. Our results demonstrated that SARS-CoV-2 infection upregulated STAT1 protein expression in moDCs (Figure 6A). We next evaluated the activation of STAT1 by measuring the ratio of phosphorylated STAT1 over STAT1 based on the intensity of individual bands. Interestingly, our data demonstrated that while IFN-α treatment substantially activated STAT1 phosphorylation, the extent of upregulation was significantly mitigated by SARS-CoV-2 infection in moDCs (Figure 6B). Importantly, while SARS-CoV also inhibited STAT1 phosphorylation in moDCs, the extent of inhibition by SARS-CoV-2 was significantly stronger than that by SARS-CoV (P = .035). In contrast, SARS-CoV-2 infection did not have a modulatory effect on STAT1 phosphorylation in MDMs (Figure 6B). Taken together, our results suggested that SARS-CoV-2 infection subverted IFN signaling in moDCs through antagonizing STAT1 phosphorylation.
Figure 6.

SARS-CoV-2 antagonized STAT1 phosphorylation in moDCs. MoDCs and MDMs were mock-infected or infected with SARS-CoV-2 or SARS-CoV at an MOI of 10. At 24 hours post infection, the cells were untreated or treated with 1000 U/mL of recombinant human IFN-α for 40 minutes. The cell lysates were collected for the detection of STAT1, pSTAT1, and β-actin by Western blots. A, Representative blots are shown from 3 donors in 3 independent experiments. B, Quantitation was calculated as the ratio of pSTAT1 over STAT1 protein. Statistical analysis was performed with 1-way ANOVA and the differences were considered significant when P < .05. *P < .05, ****P < .0001. Abbreviations: MOI, multiplicity of infection; IFN, interferon; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

SARS-CoV-2 antagonized STAT1 phosphorylation in moDCs. MoDCs and MDMs were mock-infected or infected with SARS-CoV-2 or SARS-CoV at an MOI of 10. At 24 hours post infection, the cells were untreated or treated with 1000 U/mL of recombinant human IFN-α for 40 minutes. The cell lysates were collected for the detection of STAT1, pSTAT1, and β-actin by Western blots. A, Representative blots are shown from 3 donors in 3 independent experiments. B, Quantitation was calculated as the ratio of pSTAT1 over STAT1 protein. Statistical analysis was performed with 1-way ANOVA and the differences were considered significant when P < .05. *P < .05, ****P < .0001. Abbreviations: MOI, multiplicity of infection; IFN, interferon; moDCs, monocyte-derived dendritic cells; MDMs, monocyte-derived macrophages; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

DISCUSSION

Dendritic cells and macrophages play essential roles in innate and adaptive immunity against virus infection but are also potent producers of cytokines that may contribute to immunopathology [11, 36]. Both cell types could be infected by the highly pathogenic human coronaviruses, including SARS-CoV and MERS-CoV, and were suggested to play a role in viral pathogenesis [11-14]. However, the interplay between SARS-CoV-2 and these 2 sentinel cell types is currently unknown. In this study, we found that moDCs and MDMs were permissive to SARS-CoV-2 infection but not replication. Specifically, SARS-CoV-2 did not productively replicate in both cell types despite efficient N protein expression. In addition, SARS-CoV-2 infection downregulated the ACE2 expression in both infected moDCs and MDMs. Importantly, SARS-CoV-2 did not upregulate any IFN response in both cell types and only triggered significant proinflammatory response in the infected MDMs but not moDCs. Furthermore, we demonstrated that the largely silent infection of SARS-CoV-2 in moDCs was associated with viral antagonism of STAT1 phosphorylation. Overall, our study contributes to our understanding on the role of dendritic cells and macrophages in COVID-19 biology. Importantly, despite efficient viral protein production, SARS-CoV-2 infection did not activate type I (IFN-α and IFN-β), II (IFN-γ), or III (IFN-λ1) IFN response in moDCs and MDMs. The attenuated host IFN response is consistent with our previous findings from SARS-CoV-2infected ex vivo human lung tissues [21] as well as a recent study that examined the transcriptional response of SARS-CoV-2infected samples [37]. Type I IFN is known to potently inhibit the replication of human coronaviruses, including hCoV-229E, SARS-CoV, and MERS-CoV, both in vitro and in vivo [38-41]. A recent study similarly suggested that SARS-CoV-2 was highly sensitive to IFN treatment [42]. In this regard, the deficiency of SARS-CoV-2infected moDCs and MDMs in launching effective IFN response might delay viral clearance and contribute to COVID-19 pathogenesis. The treatment of COVID-19 by IFN may jump start and improve the antiviral response of the host to achieve better clinical outcome [43]. Coronaviruses have evolved a variety of mechanisms to intervene in IFN signaling [44], including inhibition of IRF phosphorylation, antagonizing mitochondrial antiviral-signaling (MAVS)/retinoic acid-inducible gene-1 (RIG-I) or TANK-binding kinase 1 (TBK1)/inhibitor of NF-κB kinase epsilon (IKKε) signaling, and blocking STAT1 nuclear import [45-47]. A recent report suggested that SARS-CoV-2 failed to activate the induction of TBK1 and STAT1 [37]. However, the detailed mechanism of SARS-CoV-2–mediated IFN antagonism has not been explored. We found that SARS-CoV-2 infection did not trigger IFN and proinflammatory response with the exception of IP-10 in moDCs. We further showed that this attenuated host response was associated with inhibition of STAT1 phosphorylation. STAT1 is a key modulator of type I, II, and III signaling and plays critical roles in the innate immune response in the clearance of SARS-CoV [48, 49]. A previous study demonstrated that the nsp1 nonstructural protein of SARS-CoV antagonized type I IFN by suppressing STAT1 phosphorylation [50]. Further investigations should be conducted to determine the SARS-CoV-2 protein that is associated with inhibition of STAT1 phosphorylation. Dysregulated host immune response and excessive production of inflammatory cytokines are associated with disease severity in SARS, MERS, and COVID-19 [5, 19, 51]. Interestingly, despite a lack of IFN response, SARS-CoV-2 triggered potent expression of proinflammatory mediators including that of TNF-α, IL-8, IP-10, MIP-1α, and IL-1β in the infected MDMs. Among them, IP-10 was of particular interest as it was the only inflammatory mediator that was upregulated in both moDCs and MDMs upon SARS-CoV-2 infection. Importantly, excessive IP-10 could exacerbate the pathology of ARDS (acute respiratory distress syndrome) [52] and was recently suggested to play a critical role in the pathogenesis of SARS-CoV-2 [53]. Together, our data suggest that the SARS-CoV-2infected dendritic cells and macrophages in the lungs of COVID-19 patients might be a source of proinflammatory cytokine production that exacerbates the clinical manifestation of COVID-19. Overall, our study has provided the first evidence that demonstrates SARS-CoV-2 infection and the associated host responses in primary human dendritic cells and macrophages, which provides novel insights into the pathogenesis of COVID-19.
  49 in total

1.  Comparative tropism, replication kinetics, and cell damage profiling of SARS-CoV-2 and SARS-CoV with implications for clinical manifestations, transmissibility, and laboratory studies of COVID-19: an observational study.

Authors:  Hin Chu; Jasper Fuk-Woo Chan; Terrence Tsz-Tai Yuen; Huiping Shuai; Shuofeng Yuan; Yixin Wang; Bingjie Hu; Cyril Chik-Yan Yip; Jessica Oi-Ling Tsang; Xiner Huang; Yue Chai; Dong Yang; Yuxin Hou; Kenn Ka-Heng Chik; Xi Zhang; Agnes Yim-Fong Fung; Hoi-Wah Tsoi; Jian-Piao Cai; Wan-Mui Chan; Jonathan Daniel Ip; Allen Wing-Ho Chu; Jie Zhou; David Christopher Lung; Kin-Hang Kok; Kelvin Kai-Wang To; Owen Tak-Yin Tsang; Kwok-Hung Chan; Kwok-Yung Yuen
Journal:  Lancet Microbe       Date:  2020-04-21

2.  pH-dependent entry of severe acute respiratory syndrome coronavirus is mediated by the spike glycoprotein and enhanced by dendritic cell transfer through DC-SIGN.

Authors:  Zhi-Yong Yang; Yue Huang; Lakshmanan Ganesh; Kwanyee Leung; Wing-Pui Kong; Owen Schwartz; Kanta Subbarao; Gary J Nabel
Journal:  J Virol       Date:  2004-06       Impact factor: 5.103

3.  Resolution of primary severe acute respiratory syndrome-associated coronavirus infection requires Stat1.

Authors:  Robert J Hogan; Guangping Gao; Thomas Rowe; Peter Bell; Douglas Flieder; Jason Paragas; Gary P Kobinger; Nelson A Wivel; Ronald G Crystal; Julie Boyer; Heinz Feldmann; Thomas G Voss; James M Wilson
Journal:  J Virol       Date:  2004-10       Impact factor: 5.103

4.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

5.  Triple combination of interferon beta-1b, lopinavir-ritonavir, and ribavirin in the treatment of patients admitted to hospital with COVID-19: an open-label, randomised, phase 2 trial.

Authors:  Ivan Fan-Ngai Hung; Kwok-Cheung Lung; Eugene Yuk-Keung Tso; Raymond Liu; Tom Wai-Hin Chung; Man-Yee Chu; Yuk-Yung Ng; Jenny Lo; Jacky Chan; Anthony Raymond Tam; Hoi-Ping Shum; Veronica Chan; Alan Ka-Lun Wu; Kit-Man Sin; Wai-Shing Leung; Wai-Lam Law; David Christopher Lung; Simon Sin; Pauline Yeung; Cyril Chik-Yan Yip; Ricky Ruiqi Zhang; Agnes Yim-Fong Fung; Erica Yuen-Wing Yan; Kit-Hang Leung; Jonathan Daniel Ip; Allen Wing-Ho Chu; Wan-Mui Chan; Anthony Chin-Ki Ng; Rodney Lee; Kitty Fung; Alwin Yeung; Tak-Chiu Wu; Johnny Wai-Man Chan; Wing-Wah Yan; Wai-Ming Chan; Jasper Fuk-Woo Chan; Albert Kwok-Wai Lie; Owen Tak-Yin Tsang; Vincent Chi-Chung Cheng; Tak-Lun Que; Chak-Sing Lau; Kwok-Hung Chan; Kelvin Kai-Wang To; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-05-10       Impact factor: 79.321

6.  Improved Molecular Diagnosis of COVID-19 by the Novel, Highly Sensitive and Specific COVID-19-RdRp/Hel Real-Time Reverse Transcription-PCR Assay Validated In Vitro and with Clinical Specimens.

Authors:  Jasper Fuk-Woo Chan; Cyril Chik-Yan Yip; Kelvin Kai-Wang To; Tommy Hing-Cheung Tang; Sally Cheuk-Ying Wong; Kit-Hang Leung; Agnes Yim-Fong Fung; Anthony Chin-Ki Ng; Zijiao Zou; Hoi-Wah Tsoi; Garnet Kwan-Yue Choi; Anthony Raymond Tam; Vincent Chi-Chung Cheng; Kwok-Hung Chan; Owen Tak-Yin Tsang; Kwok-Yung Yuen
Journal:  J Clin Microbiol       Date:  2020-04-23       Impact factor: 5.948

7.  Severe acute respiratory syndrome coronavirus M protein inhibits type I interferon production by impeding the formation of TRAF3.TANK.TBK1/IKKepsilon complex.

Authors:  Kam-Leung Siu; Kin-Hang Kok; Ming-Him James Ng; Vincent K M Poon; Kwok-Yung Yuen; Bo-Jian Zheng; Dong-Yan Jin
Journal:  J Biol Chem       Date:  2009-04-20       Impact factor: 5.157

8.  Lung pathology of fatal severe acute respiratory syndrome.

Authors:  John M Nicholls; Leo L M Poon; Kam C Lee; Wai F Ng; Sik T Lai; Chung Y Leung; Chung M Chu; Pak K Hui; Kong L Mak; Wilina Lim; Kin W Yan; Kwok H Chan; Ngai C Tsang; Yi Guan; Kwok Y Yuen; J S Malik Peiris
Journal:  Lancet       Date:  2003-05-24       Impact factor: 79.321

9.  Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients.

Authors:  Yong Xiong; Yuan Liu; Liu Cao; Dehe Wang; Ming Guo; Ao Jiang; Dong Guo; Wenjia Hu; Jiayi Yang; Zhidong Tang; Honglong Wu; Yongquan Lin; Meiyuan Zhang; Qi Zhang; Mang Shi; Yingle Liu; Yu Zhou; Ke Lan; Yu Chen
Journal:  Emerg Microbes Infect       Date:  2020-12       Impact factor: 7.163

10.  Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein.

Authors:  Alexandra C Walls; Young-Jun Park; M Alejandra Tortorici; Abigail Wall; Andrew T McGuire; David Veesler
Journal:  Cell       Date:  2020-03-09       Impact factor: 41.582

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  78 in total

Review 1.  Critical Determinants of Cytokine Storm and Type I Interferon Response in COVID-19 Pathogenesis.

Authors:  Santhamani Ramasamy; Selvakumar Subbian
Journal:  Clin Microbiol Rev       Date:  2021-05-12       Impact factor: 26.132

2.  Role of the Immune Microenvironment in SARS-CoV-2 Infection.

Authors:  Chih-Hung Ye; Wen-Lin Hsu; Guan-Ru Peng; Wei-Chieh Yu; Wei-Chen Lin; SuiYun Hu; Shu-Han Yu
Journal:  Cell Transplant       Date:  2021 Jan-Dec       Impact factor: 4.064

Review 3.  Innate immune and inflammatory responses to SARS-CoV-2: Implications for COVID-19.

Authors:  Shea A Lowery; Alan Sariol; Stanley Perlman
Journal:  Cell Host Microbe       Date:  2021-05-17       Impact factor: 21.023

4.  SARS-CoV-2 Induces Lymphocytopenia by Promoting Inflammation and Decimates Secondary Lymphoid Organs.

Authors:  Qun Xiang; Zeqing Feng; Bo Diao; Chao Tu; Qinghua Qiao; Han Yang; Yi Zhang; Gang Wang; Huiming Wang; Chenhui Wang; Liang Liu; Changsong Wang; Longding Liu; Rong Chen; Yuzhang Wu; Yongwen Chen
Journal:  Front Immunol       Date:  2021-04-28       Impact factor: 7.561

5.  STAT2-dependent restriction of Zika virus by human macrophages but not dendritic cells.

Authors:  Dong Yang; Hin Chu; Gang Lu; Huiping Shuai; Yixin Wang; Yuxin Hou; Xi Zhang; Xiner Huang; Bingjie Hu; Yue Chai; Terrence Tsz-Tai Yuen; Xiaoyu Zhao; Andrew Chak-Yiu Lee; Ziwei Ye; Cun Li; Kenn Ka-Heng Chik; Anna Jinxia Zhang; Jie Zhou; Shuofeng Yuan; Jasper Fuk-Woo Chan
Journal:  Emerg Microbes Infect       Date:  2021-12       Impact factor: 7.163

6.  Macrophages and Dendritic Cells Are Not the Major Source of Pro-Inflammatory Cytokines Upon SARS-CoV-2 Infection.

Authors:  Marc A Niles; Patricia Gogesch; Stefanie Kronhart; Samira Ortega Iannazzo; Georg Kochs; Zoe Waibler; Martina Anzaghe
Journal:  Front Immunol       Date:  2021-05-26       Impact factor: 7.561

7.  SARS-CoV-2 Spreads through Cell-to-Cell Transmission.

Authors:  Cong Zeng; John P Evans; Tiffany King; Yi-Min Zheng; Eugene M Oltz; Sean P J Whelan; Linda Saif; Mark E Peeples; Shan-Lu Liu
Journal:  bioRxiv       Date:  2021-06-01

8.  The Pro-Inflammatory Chemokines CXCL9, CXCL10 and CXCL11 Are Upregulated Following SARS-CoV-2 Infection in an AKT-Dependent Manner.

Authors:  Victoria Callahan; Seth Hawks; Matthew A Crawford; Caitlin W Lehman; Holly A Morrison; Hannah M Ivester; Ivan Akhrymuk; Niloufar Boghdeh; Rafaela Flor; Carla V Finkielstein; Irving Coy Allen; James Weger-Lucarelli; Nisha Duggal; Molly A Hughes; Kylene Kehn-Hall
Journal:  Viruses       Date:  2021-06-03       Impact factor: 5.048

Review 9.  The signal pathways and treatment of cytokine storm in COVID-19.

Authors:  Lan Yang; Xueru Xie; Zikun Tu; Jinrong Fu; Damo Xu; Yufeng Zhou
Journal:  Signal Transduct Target Ther       Date:  2021-07-07

Review 10.  COVID-19: Lung-Centric Immunothrombosis.

Authors:  Peter R Kvietys; Hana M A Fakhoury; Sana Kadan; Ahmed Yaqinuddin; Eid Al-Mutairy; Khaled Al-Kattan
Journal:  Front Cell Infect Microbiol       Date:  2021-06-11       Impact factor: 5.293

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