key: cord-0758361-oajv9hs5
authors: Wu, Dandan; Yang, Xuexian O.
title: Dysregulation of Pulmonary Responses in Severe COVID-19
date: 2021-05-21
journal: Viruses
DOI: 10.3390/v13060957
sha: db5a87a61af952aae81262c4462c349a1356417a
doc_id: 758361
cord_uid: oajv9hs5

Patients with coronavirus disease 2019 (COVID-19) predominantly have a respiratory tract infection with various symptoms and high mortality is associated with respiratory failure second to severe disease. The risk factors leading to severe disease remain unclear. Here, we reanalyzed a published single-cell RNA-Seq (scRNA-Seq) dataset and found that bronchoalveolar lavage fluid (BALF) of patients with severe disease compared to those with mild disease contained decreased TH17-type cells, decreased IFNA1-expressing cells with lower expression of toll-like receptor 7 (TLR7) and TLR8, increased IgA-expressing B cells, and increased hyperactive epithelial cells (and/or macrophages) expressing matrix metalloproteinases (MMPs), hyaluronan synthase 2 (HAS2), and plasminogen activator inhibitor-1 (PAI-1), which may together contribute to the pulmonary pathology in severe COVID-19. We propose IFN-I (and TLR7/TLR8) and PAI-1 as potential biomarkers to predict the susceptibility to severe COVID-19.

COVID-19, a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)caused infectious disease, manifests various symptoms ranging from asymptomatic to mild to very severe, and leads to multiple organ injury and even death. Poor outcomes are associated with older age (especially over 65) and underlying conditions including diabetes, cardiovascular disease, hypertension, obesity, and chronic obstructive pulmonary disease (COPD) [1] . Heightened serum levels of IL-6, C-reactive protein (CRP) and D-dimer, lymphopenia, neutrophilia, and other complications have been reported in severe COVID-19 [2, 3] , associated with the dysregulation of myeloid responses, especially in the lung [4, 5] . In severe cases, cytokine release syndrome (also called "cytokine storm") results in acute respiratory distress syndrome (ARDS) with drowning edema in the lung, which is broadly accepted as one of the major causes of death [6] . Recent studies showed that preexisting, cross-reactive T cells (elicited by prior infection with "common cold" coronaviruses) might limit the disease severity [7, 8] . In addition to T cells, cross-reactive antibodies are also present in unexposed healthy cohorts, especially those aged 6-16 years [9] . However, the preexisting immunity cannot explain the susceptibility in people aged 65 and above because they have more chances to be infected with "common cold" coronaviruses than young people and may have persistent cross-reactive T and B cells. It cannot explain why men are more susceptible than women, either. Identifying risk factors that drive the transition to severe disease is highly demanded and would benefit the treatment, prevention, and vaccination of COVID-19. Here, we reanalyzed a published scRNA-Seq dataset and found that bronchoalveolar lavage fluid (BALF) of patients with severe disease compared to those with mild disease exhibited dysregulation of TH17-type cells, IgA-expressing B cells, type I interferon (IFN-I) pathway, and matrix metalloproteinases (MMPs)-, hyaluronan synthase 2 (HAS2)-, and plasminogen activator inhibitor-1 (PAI-1)-expressing cells.

Peripheral blood mononuclear cell (PBMC) studies have demonstrated dysregulated myeloid (monocyte and neutrophil) and CD8 + T cell compartments in severe COIVD-19 [3, 11, 12] . Currently, there are only a few studies focusing on lung local responses. Zhou et al. revealed a hyper-proinflammatory gene expression profile by meta-transcriptomic sequencing of BALF cells [13] . Compared to community-acquired pneumonia patients and healthy controls, BALF cells of COVID-19 patients highly express proinflammatory genes, especially chemokines, suggesting that SARS-CoV-2 infection causes hypercytokinemia. Like SARS-CoV, SARS-CoV-2 robustly triggered the expression of numerous IFNstimulated genes (ISGs). Liao et al. compared BALF cell responses in mild and severe COVID-19 cases using scRNA-Seq [10] . The BALFs of severe cases had more abundant macrophages and neutrophils with a decrease in the CD8 + T cell population, and expressed elevated levels of cytokines, IL1B, IL6, and TNF, as well as chemokines, compared with those of the mild cases. By leveraging Liao et al.'s scRNA-Seq dataset, we further evidenced the dysregulation of T helper (TH) cells, B cells, the IFN-I pathway, and tissue factors in the severe cases.

The scRNA-Seq dataset (GEO accession number GSE145926), including 3 healthy controls, 3 mild cases, and 6 severe cases [10] , was downloaded and analyzed using SeqGeq software (FlowJo LLC). The focus was on the comparison between mild and severe cases; healthy controls were included as references. In the CD4 + TH cell compartment, there were no significant differences in TH1 (T-box transcription factor 21, or TBX21 + ), TH2 (GATA-binding protein 3, or GATA3 + ), and regulatory T (forkhead box P3, or FOXP3 + ) cells between the mild vs. severe cases ( Figure 1A ). Interestingly, compared with mild cases, BALFs of severe cases had decreased TH17 [RAR-related orphan receptor C (RORC) + or C-C motif chemokine receptor 6 (CCR6) + ] cells ( Figure 1A ) and γδT (T cell receptor delta constant, or TRDC + ) cells ( Figure 1B) ; the latter also express TH17-type cytokines, IL17, and IL17F (and TH1 type cytokine IFNγ). Although TH17 cells are considered as a potent mediator of tissue pathology, they are essential in antiviral immunity through promoting TH1, cytotoxic T lymphocyte, and B cell responses, and are implicated in combating concomitant bacterial (and maybe also fungal) infection [14, 15] . The impaired TH17 responses in severe cases suggest a protective role of TH17-type cells, which further implicates the potential benefit of antibiotics (and maybe also antimycotics) for patients with severe disease. Besides the lung, the intestine is another major mucosal site that has active TH17 responses. SARS-CoV-2 also infects the intestine, where it expresses the viral receptors angiotensin-converting enzyme-2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) [16] . A large number of CD4 + CCR6 + TH17 cells have been reported in PBMCs of a deceased patient [17] . In addition, there are more SARS-CoV-2-reactive TH17 cells highly expressing IL17 (IL17A) and CCR6 in the PBMCs of hospitalized patients than nonhospitalized patients [18] . Therefore, the systemic role of TH17 cells in the disease progress, especially the development of ARDS, need further definition. Interestingly, four out of six BALF samples of severe cases expressed IL22, whereas none of mild cases expressed detectable levels of IL22 ( Figure 1C ). IL22 + cells were CD3E + , CD4 + , and aryl hydrocarbon Viruses 2021, 13, 957 3 of 8 receptor (AHR) + , but also TRDC − , TBX21 − , and RORC − , therefore belonging to TH22 (or NKT), but not TH1 or TH17 cells. Whether IL22 plays a role in the disease severity remains to be determined. Besides the dysregulation in the T cell compartment, severe cases had increased frequencies of IgA1 (IGHA1 + )-expressing B cells (and a trend of increasing IgG1 (IGHG1 + )) ( Figure 1D ), in agreement with Chen et al.'s observation that higher virus-specific antibody titers correlate with disease severity [19] . Generally, antibodies, if they possess a neutralizing capability, confer favorable humoral immunity; however, the neutralizing capability of antibodies in the severe cases, at least in part, is questionable, and massive immune complexes can be a driving force of tissue permeability, known as antibody-dependent disease enhancement [20, 21] . In summary, decreased TH17-type T cells and increased IgA-secreting B cells may augment the disease severity.

TH17 cells highly expressing IL17 (IL17A) and CCR6 in the PBMCs of hospitalized patients than non-hospitalized patients [18] . Therefore, the systemic role of TH17 cells in the disease progress, especially the development of ARDS, need further definition. Interestingly, four out of six BALF samples of severe cases expressed IL22, whereas none of mild cases expressed detectable levels of IL22 ( Figure 1C ). IL22 + cells were CD3E + , CD4 + , and aryl hydrocarbon receptor (AHR) + , but also TRDC − , TBX21 − , and RORC − , therefore belonging to TH22 (or NKT), but not TH1 or TH17 cells. Whether IL22 plays a role in the disease severity remains to be determined. Besides the dysregulation in the T cell compartment, severe cases had increased frequencies of IgA1 (IGHA1 + )-expressing B cells (and a trend of increasing IgG1 (IGHG1 + )) ( Figure 1D ), in agreement with Chen et al.'s observation that higher virus-specific antibody titers correlate with disease severity [19] . Generally, antibodies, if they possess a neutralizing capability, confer favorable humoral immunity; however, the neutralizing capability of antibodies in the severe cases, at least in part, is questionable, and massive immune complexes can be a driving force of tissue permeability, known as antibody-dependent disease enhancement [20, 21] . In summary, decreased TH17-type T cells and increased IgA-secreting B cells may augment the disease severity. 

IFN-Is play an important role in antiviral immunity. Due to sequencing depth, IFN-Is were detected mainly in CD68 + macrophages and a few other cells, such as keratin 18 (KRT18) + epithelial cells. Macrophages of severe cases had decreased frequencies of IFNA1, but not IFNA2-and IFNB1-expressing cells relative to those of mild cases ( Figure 1E) . Consistently, patients with severe disease had a decrease of expression of RNA sensors, TLR7 and TLR8, in both macrophages and epithelial cells and IFIH1 (encoding MDA5), but Figure 1F,G) . There were no differences in IFIH1 and DDX58 in epithelial cells in both groups (data not shown). These results implicate an essential role of IFN-I pathway in the disease susceptibility, in agreement with previous observations on peripheral blood cells [22, 23] . Although IFN-I only marginally declines with aging, and this decline can recover around the age of 55 [24] , during virus challenges (such as influenza virus and West Nile virus), both plasmacytoid (pDCs) and myeloid (mDCs) dendritic cells of aged donors have a decreased capacity of IFN-I production, which subsequently impairs the secretion of IFNγ in CD4 T cells and IFNγ, perforin, and granzyme in CD8 T cells [25] [26] [27] . In addition, certain diseases, such as diabetes and hypertension, can also impair IFN-I production [28] . Furthermore, a recent study showed that women had higher IFNA2 levels than men [29] . In summary, the defect of IFN-I pathway, associated with advancing age, gender, and some diseases, emerges as a risk factor of severe COVID-19.

MMPs degrade extracellular matrix components of the interstitium and tight junction and, therefore, increase alveolar permeability that is observed in many destructive lung diseases, including ARDS, COPD, tuberculosis, sarcoidosis, and idiopathic pulmonary fibrosis (IPF), whereas tissue inhibitors of metalloproteinases (TIMPs) inhibit the enzymatic activity of MMPs [30, 31] . Of abundant MMPs and TIMPs, BALF epithelial cells of severe COVID-19 had elevated frequencies of MMP7 + and MMP9 + cells and a trend of increasing MMP2 + and MMP13 + portions compared with mild cases, but no differences were found in MMP14 + cell percentages (Figure 2A ). There were no alterations in the frequencies of either TIMP1 + -or TIMP2 + -expressing epithelial cells between mild vs. severe cases (Figure 2A ). In addition to epithelial cells, macrophages also expressed MMPs, and the expression patterns were similar with those of epithelial cells, but only MMP9 reached significance ( Figure 2B ). Macrophages of severe cases had higher percentages of TIMP1 + cells, whereas a trend in decreasing TIMP2 + frequencies relative to those of mild cases ( Figure 2B ). Together, the overexpression of MMPs without the corresponding upregulation of TIMPs, in addition to macrophage and neutrophil products, such as reactive oxygen species (ROS), nitric oxide (NO), and enzymes, may promote intensive lung tissue destruction in severe COVID-19. 

Hypersecretion of MUCs is a common feature of many lung diseases, including viral infection, asthma, and COPD. Hypersecretion of MUCs was also reported in COVID-19 [32] . Of abundant mucins, MUC1 expression is upregulated (but did not reach significance) in epithelial cells of severe vs. mild COVID-19, whereas there were no differences in MUC4 and MUC16 between the two groups ( Figure 2C ). Hypersecretion of hyaluronic acid presents in severe COVID-19 [33, 34] . Consistently, HAS2, but not HAS3, was upregulated in severe cases ( Figure 2D ), whereas there were very few HAS1-expressing cells (data not shown). In addition to hyperproduction of MUC1 and hyaluronic acid, there were more epithelial cells producing tissue plasminogen activator (tPA) and PAI-1 in severe disease compared with mild disease ( Figure 2E ). Severe cases also had higher frequencies of PAI-1 + , but not tPA + macrophages ( Figure 2F ). Total tPA + to PAI-1 + (tPA/PAI- 

Hypersecretion of MUCs is a common feature of many lung diseases, including viral infection, asthma, and COPD. Hypersecretion of MUCs was also reported in COVID-19 [32] . Of abundant mucins, MUC1 expression is upregulated (but did not reach significance) in epithelial cells of severe vs. mild COVID-19, whereas there were no differences in MUC4 and MUC16 between the two groups ( Figure 2C ). Hypersecretion of hyaluronic acid presents in severe COVID-19 [33, 34] . Consistently, HAS2, but not HAS3, was upregulated in severe cases ( Figure 2D ), whereas there were very few HAS1-expressing cells (data not shown). In addition to hyperproduction of MUC1 and hyaluronic acid, there were more epithelial cells producing tissue plasminogen activator (tPA) and PAI-1 in severe disease compared with mild disease ( Figure 2E ). Severe cases also had higher frequencies of PAI-1 + , but not tPA + macrophages ( Figure 2F ). Total tPA + to PAI-1 + (tPA/PAI-1) cell ratios were decreased in severe cases relative to mild cases, and there was no difference in urokinase-type plasminogen activator (uPA)/PAI-1 ( Figure 2G ). tPA and uPA promote fibrinolysis, whereas PAI-1 inhibits this process. Decreased tPA/PAI-1 in severe cases suggests that the dysregulation of coagulation plays an important role in the disease severity, in agreement with Tang et al.'s study that abnormal coagulation leads to a poor prognosis of COVID-19 [35] . In line with this, hyperexpression of tPA and PAI-1 was observed in the peripheral blood of death cases of COVID-19 compared with discharge cases [36] . Heightened expression of tPA and PAI-1 was also reported in highly lethal acute hantavirus cardiopulmonary syndrome [37] . PAI-1 levels are positively correlated, whereas tPA levels are inversely correlated, with D-dimer concentrations in COVID-19 patients [36] . PAI-1 expression is induced by a number of proinflammatory cytokines, such as IL1, IL6, TNF, and TGFβ, as well as hormones, such as insulin, glucocorticoids, and adrenaline (reviewed in References. [38, 39] ). Advancing age is considered as a major contributor to increased expression of PAI-I [40] , which is correlated with aging-associated cardiovascular diseases and metabolic syndromes, such as atherosclerosis, hypertension, obesity, and diabetes (reviewed in References [38, 39] ). Moreover, men have higher serum PAI-1 levels than women [41, 42] . Therefore, elevation of PAI-I expression can serve as a risk factor of severe COVID-19, especially in people with older age, male gender, and/or a group of preexisting conditions. In summary, augmented expression of MUC1, HAS2, and This study has several limitations. First, the existing dataset only contains small numbers of mild cases and healthy controls. Second, although severe cases had increased frequencies of IgA1 (IGHA1 + ), the neutralizing capability of these IgA antibodies is unknown. Third, this study analyzed mRNA expression of a variety of biomarkers in BALF cells, but lacked corresponding protein expression data, although there was some evidence at the protein levels from studies on peripheral blood (see references cited).

The dysregulation of pulmonary responses, including decreased TH17 cells (and CD8 + T cells [10] ) and IFN-I (the latter is associated with impaired TLR7 and TLR8 expression), and the elevation of IgA, MMPs, MUC1, hyaluronic acid, and PAI-I (as well as myeloid cells [4, 5, 10] ), is correlated with the disease severity (see more discussion in Figure 3 ). Amongst the above-mentioned factors, IFN-I and PAI-1 are dysregulated in older age, male gender, and preexisting diseases that are associated with increased risk to develop severe disease, and we propose the underexpression of IFN-I (and TLR7/TLR8) and the hypersecretion of PAI-1 as potential biomarkers to predict the susceptibility to severe COVID-19 (and maybe also other lung infections). 

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We acknowledge the trial of SeqGeq software (FlowJo LLC, Ashland, OR, USA).

The authors declare that there is no conflict of interest.