Abstract
As the outbreak of the new coronavirus (SARS-CoV-2) infection is spreading globally, great effort is being made to understand the disease pathogenesis and host factors that predispose to disease progression in an attempt to find a window of opportunity for intervention. In addition to the direct cytopathic effect of the virus, the host hyper-inflammatory response has emerged as a key factor in determining disease severity and mortality. Accumulating clinical observations raised hypotheses to explain why some patients develop more severe disease while others only manifest mild or no symptoms. So far, Covid-19 management remains mainly supportive. However, many researches are underway to clarify the role of antiviral and immunomodulating drugs in changing morbidity and mortality in patients who become severely ill. This review summarizes the current state of knowledge on the interaction between SARS-CoV-2 and the host immune system and discusses recent findings on proposed pharmacologic treatments.
1. Introduction
Since the beginning of December 2019, the novel SARS-CoV-2 outbreak is spreading globally posing critical challenges for the medical community [1]. So far Covid-19 seems to be more contagious and more deadly than most strains of seasonal influenza. In fact, without containment measures, the basic reproduction number (R0) of SARS-CoV-2 has been estimated in the range of 2.2 and 5.7, meaning one case may infect between two and five other persons, while for seasonal influenza this number is reportedly around 1.3 [2,3]. Fatality rates for Covid-19 differ significantly in magnitude across countries. Discrepancies most likely depend, among other factors, on the frequency of asymptomatic or mildly symptomatic patients as well as on the testing strategy adopted in different settings, which may result in a significant proportion of undiagnosed cases. An accurate estimate of the overall infection fatality is still very difficult to calculate. Recent estimates based on aggregate data from China adjusted for demography and under-ascertainment bias suggest that the overall case fatality rate of Covid-19 could be close to 1.38% [4]. However, taking into account the ratio of asymptomatic cases support infection fatality ratios hovering 0.4–0.7% [5]. These figures are lower than that of Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which had case fatality rates around 10% and 36% respectively [6], yet they seem to exceed those of most severe influenza strains, which have case fatality rates averaging 0.1%. The reasons why some patients progress to severe disease while others only manifest with mild or no symptoms remain to be elucidated. Beside the direct cytopathic effect of the virus, the host hyper-inflammatory response has clearly emerged as a key factor in determining disease severity and mortality.
As clinical and epidemiologic information on SARS-CoV-2 infection have increased, a better knowledge on the burden of severe disease and clinical risk factors associated with disease progression have emerged. Older age, male gender, and pre-existing chronic conditions, such as diabetes, obesity, cardiovascular disease, have been observed to be the most significant risk factors among patients with COVID-19 in China and Europe [7,8,9]. In the United States disproportionately higher rates of hospitalization and death have been reported among African-American and Hispanic groups and may be explained by differences in economic and social conditions of ethnic minorities in specific contexts. Nevertheless, genetic contribution to different clinical outcomes cannot be excluded [10].
Achieving a better understanding of the interaction between SARS-CoV-2 and the host immune system, as well as of the immune pathology driving disease progression, may therefore provide opportunities for treatment interventions and vaccine development.
3. Immunity to SARS-CoV-2 and Factors Determining Disease Progression
There are probably distinct factors affecting the disease progression in Covid-19. The stronger risk factor lies in aging, with a continuous gradient of increasing fatalities more evident in subjects above 50 years of age. Of course, higher incidence of comorbidities also plays a crucial role in these subjects, and most healthy elderly people will survive the infection. However, case fatalities are described also in previously healthy young people and there is great uncertainty as concern genetic and environmental factors that account for these severe cases. Here we discuss some of these factors in greater detail.
3.1. The Age Gradient
The risk of severe disease and death in Covid-19 increase directly with age. This increase is particularly significant in the elderly compared with children and young adults. As recent estimates have shown, the fatality rate is considered relatively low, around 0.31% in the population below the age of 60, while it starkly increases to 6.4% among people ≥60 years and up to 13.4% ≥80 years [4]. Based on current knowledge, children infected with SARS-CoV-2 are less likely to be symptomatic or develop severe symptoms [21,100]. Reasons for this difference remain hypothetical and may be related to age-dependent immune factors as well as dynamics of viral exposure [21].
3.1.1. ACE2 Density and Distribution Changes with Age
Higher expression of ACE2 receptors may partly explain why young people seem to be less susceptible to severe infections from SARS-CoV-2 [101]. Besides age, several other factors also seem to modulate ACE2 expression, including diet, sexual hormones, drugs, glucose metabolism. Smoking upregulates the expression of ACE2; this may account for a lower than expected prevalence of smokers in diseases cohorts, even though the overall role of smoking as a risk factor is still unclear [102]. Studies in animal models have suggested that ACE inhibitors and angiotensin-receptor blockers (ARBs) upregulate ACE2 expression [25]. Those observations were used to speculate on a possible increased susceptibility to SARS-CoV-2 infection in patients under those treatments, or vice versa, if they could have a therapeutic role. However, three large studies (a database study [103], a case-control study [104] and an electronic medical record analysis [105]) including a total of more than 21,000 infected patients failed to identify any correlation between ACE inhibitor or ARBs treatment and infection risk or disease severity. Scientific societies advice not to discontinue such therapies on the base of Covid-19 fear or actual disease.
3.1.2. T Cell Repertoire and Aging
With aging, several important changes in the innate and adaptive immune responses occur that can explain why older people are more prone to develop severe disease during viral infections. This is particularly true for newly arising infectious organisms, for which there is no protection from pre-existing cross-reactive antibodies generated after previous exposures to related viruses.
Age-related changes in bone marrow result in decreased lymphopoiesis and increased output of functionally compromised myeloid cells. In thymus, tissue involution results in loss of naive T cells and contraction in T-cells repertoire diversity [106]. Studies in animal models showed a decline in reactivity to viral epitopes with a low naive precursor frequency in aged mice [107]. Gene expression analysis in critically ill patients with influenza suggest an impaired development of adaptive immunity leading to an unremitting cycle of viral replication and innate cytokine-chemokine release [108]. Coherently, a relatively better performance of children and elderly in contrasting the 2009 H1N1 influenza pandemic has been explained respectively by a wider lymphocyte repertoire in children and immune memory for past cross-reacting viral strains in old people.
Interestingly, the repertoire of naive T cells persists with aging in a homeostatic balance with memory T cells and can be reduced by the involvement of adaptive immune system in recurrent infections [109]. Whether immunosenescence associated with aging, and specifically T cell repertoire reduction, plays a significant role in the susceptibility of old people to SARS is still uncertain [21].
3.1.3. Age-Related Changes in Antibody Production
Deterioration of immune response in elderly represents a well-known challenge to vaccine developers as immunosenescence also involves antibodies production. The contraction of B-cell repertoire with aging is less impressive than that of T cells [110]. Moreover, while T cells reactivity is restricted to specific peptides, antibodies frequently display some degree of cross-reactivity between distinct antigens. Consequently, old people can boost the production of antibodies directed against antigenically related viruses when exposed to an infection, maintaining a wider immunological memory. This mechanism has a role in the antibody response to influenza virus, where cross-reactive immune responses have been well described [111]. Also, as recent findings have shown, binding and blocking antibodies to common coronaviruses are higher in old adults than in the younger [112].
The ability of making antibodies, also exploiting cross-reactive memory responses, could be a double-edged sword. Cross-reactive antibodies are not always beneficial, and in some cases they can do harm by enhancing inflammatory immune responses and viral entry into cells [113,114]. However, even antibodies mediating viral infection can be protective in certain circumstances [115]. Even if the production of antibodies undergoes significant changes with ageing, there is not any proof that these changes are related to the higher severity of Covid-19 in the elderly.
3.1.4. Innate Immune System and Ageing
The innate immune system also becomes dysregulated and is characterized by heightened levels of basal inflammation, because of increased baseline cytokine production, and failure of activation of innate immune mechanisms in response to pathogens or vaccines [116]. Cells from older donors infected in vitro by influenza and West Nile virus show dysregulated TLR-signaling in monocytes, macrophages, and blood DCs, impaired IFN production, and diminished induction of late-phase antiviral responses [117]. As mentioned before, IFN-I response has been shown to be key in determining outcomes in MERS CoV infected mice [49]. Thus, it could be hypothesized that in the elderly dysregulation of IFN pathways could contribute to lethality from SARS-CoV-2 infection by determining the inability to control viral replication at the beginning of the infection, and later facilitating the occurrence of a deleterious exaggerated inflammatory response.
3.2. Why Do Some Young People Become Critically Ill?
3.2.1. Viral Load
In experimental conditions, the inoculum dose is a crucial factor influencing the outcome of the infection from many viruses. High inoculum dose of viruses with direct cytopathic effect can lead to severe damage and death before adaptive immune response develops, especially with fast-replicating viruses. In influenza virus infection, cytotoxic CD8 cells are the main player in killing virus-infected cells. However, with high viral inoculum dose cytotoxic CD8 cells can be killed by DCs, depending on the cytokine environment [118]. In an in vitro model to examine the effects of influenza infection on DC function, T-cell proliferation occurred at low multiplicities of infection, while at higher doses interaction between DC and T cells was defective, partly because of hyperproduction of Transforming Growth Factor beta 1 (TGFβ1) by DCs [119]. Conversely, extremely low doses do not infect DCs and can resolve without engaging the adaptive immunity [84].
3.2.2. Variants in Innate Immunity Genes
Point mutations in genes encoding for proteins involved in DNA sensing and IFN response, as mentioned before, have been found to confer susceptibility to a narrow range of virus infections or even one particular virus. Such an example is that of mutations in genes that participate in the TLR3 signaling pathway which predisposes to severe presentation of herpes simplex virus (HSV), including HSV encephalitis [50]. Whether patients who develop lethal Covid-19 infections harbor genetic variants predisposing to disease progression is unknown. However, this hypothesis is being investigated in genetic studies on young patients developing severe disease.
3.2.3. Immunodeficiencies Affecting T Cell Repertoire
It is well-known that subjects with combined immunodeficiencies (CID) are susceptible to severe illnesses from various viruses [50]. Accordingly, primary immunodeficiencies might explain a proportion of the rare Covid-19 pediatric cases requiring intensive care. However, only a few CIDs can remain undiagnosed for a long time, and thus it is unlikely that subjects with these disorders can encounter SARS-CoV-2 and develop a severe disease course. Indeed, the only records of CIDs detected after severe viral illness concern subjects with undiagnosed idiopathic CD4 T-cell lymphopenia who developed severe varicella [120] or subjects with Cartilage Hair Hypoplasia [121]. Covid-19 could also have a worse course in subjects with not-virologically suppressed HIV, while no fatality has been reported in a small series of young patients on highly active antiretroviral therapy [122].
3.2.4. Immunodeficiencies Affecting Cytotoxic Functions
Severe cases of Covid-19 have been associated with the development of secondary hemophagocytic lymphohistiocytosis (sHLH). Inborn errors of immunity affecting NK and CD8 T-mediated cytotoxicity have been associated with unexpected fatal infection from various viruses, presenting with the clinical picture of primary HLH [123]. Thus, it is possible that some patients develop severe illness because of defective cytotoxic functions. Of note, HLH-related mutations are relatively rare in the population and therefore they are not likely to explain a significant proportion of severe cases. Patients with rheumatic conditions such as systemic juvenile idiopathic arthritis and systemic lupus erythematosus who develop sHLH-like inflammatory complications (named macrophage activation syndrome) are more likely to carry heterozygous variants in genes mediating the release of cytotoxic granules from NK cells and CD8 T cells [124], however their pathogenic role is unclear. To date, no case fatality from SARS-Cov-2 has been attributed to a monogenic primary immunodeficiency.
3.2.5. HLA Haplotypes Correlations
Bioinformatic tools have already shown the different affinities of human leukocyte antigen (HLA) molecules haplotypes to SARS-CoV-2 epitopes [125]. Those differences determine the quality of the immune response, therefore might have a role in vaccine design (i.e., to choose the most appropriate epitope in term of immune response to vaccine) and to provide information to identify subjects with increased risk of severe disease and guide social interventions. For example, HLA-B*46:01 haplotype has been predicted to be a risk factor for a severe disease, as already shown by genetic population analysis in patients affected by severe SARS-CoV [126]. On the opposite side, B*15:03 allele is predicted to have high affinity for epitopes shared by different coronavirus, thus representing a possible protective factor for disease severity through cross-response. To identify high risk populations is of key relevance to implement stratified social distancing rules and disease prevention (i.e., vaccine administration) priorities. To date, there are no population studies on Covid-19.
4. Why Bats Don’t Get Sick and What They Can Tell Us
Even though there is no definitive explanation of how SARS-Cov-2 has arisen, hypotheses point toward a spillover from bats, likely mediated by some other animal species as intermediate host [127]. Bats are known to be asymptomatic reservoirs for many different viruses that cause serious disease in humans and non-human primates such as SARS and MERS coronaviruses, Nipah and Hendra paramyxoviruses, and Marburg and Ebola filoviruses [128,129,130,131].
Understanding how can bats coexist with so many viruses with no overt disease could provide guidance for the identification of treatment targets in humans. One hypothesis is that the bat immune system coevolved with viruses mitigating cellular pathways activated by viral infection to reach a state of reciprocal tolerance. Bats may be capable of limiting the infection-induced immunopathology even in the most highly infected tissues as a result of these unique adaptations at the cost of infection persistence and prolonged viral shedding [132], which is probably a prerequisite for viral spillover to other species. Bat cells are capable of containing virus propagation by inducing an effective IFN production in response to viral RNA, while limiting the expression of virus-induced inflammatory cytokines. As gene-expression analyses have revealed, bat cells have varied and tightly regulated expression patterns of different IFN stimulated genes (ISGs). Compared to human cells, bat cells have higher baseline ISGs expression levels and upon IFN stimulus show a higher peak but also a more rapid decline in ISGs expression levels [133]. These unique features are only one of several mechanisms that bats have developed to prevent excessive inflammation. Several species of bats have reduced production of TNF-α [134] and adaptations in NK cell receptors signaling pathways that are associated with inhibitory responses [132].
Interestingly, bat immune cells also show significantly dampened activation of the NLRP3 inflammasome in response to RNA viruses [135]. NLRP3 is an important sensor for cellular stresses as well as viral and bacterial infections. NLRP3 regulates the secretion of proinflammatory cytokines interleukin 1 beta (IL-1β), a key cytokine in the development of inflammatory syndromes such as macrophage activation syndrome. SARS-CoV and MERS-CoV have been shown to induce NLRP3 inflammasome in mouse and human cells with multiple mechanisms [29] and this activation might play a key role in the infection-induced hyperinflammation and immunopathology [136,137,138,139].
5. Critical Mechanisms of Potential Relevance to Determine the Course of Infection and Possible Targets of Therapies
A good balance between protective immunity and inflammation is crucial to overcome the infection. Prompt recruitment and expansion of virus-specific lymphocytes can lead to early viral clearance, preventing the development of significant organ damage. Conversely, slower activation of specific immunity may result in undisturbed viral replication, with widespread cell damage and secondary inflammatory amplification. Notably, SARS-CoV2 is a fast-replicating virus, reaching viral load peak in the upper airways within 5–6 days from symptoms onset, thus significantly earlier than SARS-CoV, which peaked at about 10 days, therefore a prompt and adequate immune response is crucial to avoid infection progression [140,141].
All the components of immunity may act as friend or foe: IFNs are necessary in the first phase of the infection but may become harmful afterwards; tissue macrophages and DCs are important players in creating the correct local environment to defeat the virus, but they can be replaced by monocyte-derived macrophages with a stronger inflammatory activity and with the risk of bringing the virus to other organs; neutrophils are needed for viral clearance in animal models of infection with influenza virus, but are primary players of tissue damage in Covid-19; antibodies may be protective or harmful by enhancing viral entry or by targeting vascular structures. Healthy people may cope with an imbalance in these mechanisms until proper anti-inflammatory, anticoagulant, and supportive treatments are given. On the contrary, people with older age and comorbidities may pay the higher fatality rate because of the establishment of vicious circles between inflammatory, respiratory and vascular processes. A possible list of critical mechanisms affecting the fate of Covid-19 is proposed in Table 1.
Table 1.
Critical mechanisms of potential relevance as targets of therapies.
6. Therapies under Evaluation
Supportive care and prevention of bacterial superinfection are the mainstay of management in patients with SARS-CoV-2 infection. Many off-label and compassionate-use pharmacologic therapies are being used without substantial evidence from high quality clinical studies and many of these treatments are currently undergoing evaluation in clinical trials.
6.1. Antivirals
Antivirals aim at blocking viral replication and related cell damage. Even though antivirals seem to be the most obvious causative therapy, their efficacy might be limited to the initial phase of the illness and might not have any effect in the advanced stages, when inflammatory mechanisms seem to prevail. Antivirals that have been used or proposed in Covid-19 include lopinavir/ritonavir, remdesivir, ribavirin, and favipiravir.
So far, lopinavir/ritonavir has been the only antiviral agent undergoing a major randomized clinical trial. Lopinavir/ritonavir is an approved oral combination agent for the treatment of HIV. The association has been previously used in SARS and retrospective studies seemed to suggest a reduction in mortality and intubation rates in patients who received this treatment [142]. The first published randomized trial in Covid-19 was open-label and included 199 hospitalized adult patients with confirmed SARS-CoV-2 infection. No adjunctive benefit in the time to clinical improvement, mortality rates at 28 days and viral RNA load at various time point was observed in patients who received lopinavir/ritonavir (n = 99) compared to patients who were managed as per standard of care (n = 100) [143].
Remdesivir is a nucleotide analogue prodrug that inhibits viral RNA polymerases. In vitro testing of remdesivir has shown a potent activity against SARS-CoV-2 [144]. A small cohort of 53 patients hospitalized for severe Covid-19 were treated with remdesivir on compassionate-use bases [145]. Clinical improvement in oxygen-support status was observed in 36 of 53 patients (68%). The results of one randomized, double-blind, placebo-controlled, multicenter trial that included 237 patients with Covid-19 from China admitted to hospital with an interval from symptom onset to enrolment of 12 days or less and pneumonia, showed a small reduction in the time to clinical improvement with remdesivir but failed to find statistical significance [146]. Mortality was also similar among treated and non-treated patients. This study failed to enroll the predetermined number of patients. Preliminary analysis from another randomized, controlled trial involving 1063 patients in the United States have also been recently made available. Preliminary results indicate that patients who received remdesivir had a 31% shorter median time to recovery (11 days versus 15 days) compared with placebo (p < 0.001). Also, in the group receiving remdesivir a survival benefit was reported with a mortality rate of 8.0% versus 11.6% for the placebo group (p = 0.059). The trial closed to new enrollments on April 19 and more comprehensive results will soon be available (NCT04280705). While interesting, these data still suggest that the role of antiviral treatment may be limited, with a greater efficacy possibly to the early phases of infection, likely due to the rapid replication of the SARS-CoV2 virus.
Favipiravir is a nucleotide prodrug whose active compound inhibits viral RNA-dependent RNA polymerase. Favipiravir is approved for the treatment of influenza virus infections in Japan and China. The results of a small open-label non-randomized control study conducted in China in Covid-19 have been published recently [147]. In the study patients receiving favipiravir plus inhaled IFN (n = 35) were compared with an historical cohort of patients who had been treated with lopinavir/ritonavir during the prior weeks (n = 45). Patients in the favipiravir group had faster viral clearance (4 days vs. 11 days) and more frequent radiographic improvement (91% vs. 62%). Still under review, another Chinese open-label, randomized study showed that moderately ill patients (but not mildly nor severely ill patients) treated with favipiravir had higher clinical recovery rates at day 7 compared to patients treated with umifenovir, a membrane-fusion inhibitor active against influenza [148]. More trials are underway.
Ribavirin has been empirically included into various treatment protocols for Covid-19 even though there is little evidence for its efficacy [149]. Ribavirin is a nucleoside analogue that inhibits viral RNA-dependent RNA polymerase with in vitro activity against SARS-CoV only at high concentrations. Ribavirin has been used for the treatment of SARS and MERS, mostly in combination with IFNs. Of 30 trials evaluating ribavirin in patients with SARS, 26 were classified as inconclusive and 4 reported possible harm due to the occurrence of hemolytic anemia and liver toxicity in a high proportion of treated patients [150]. With these premises ribavirin likely has limited value for the treatment of Covid-19.
6.2. Chloroquine and Hydroxychloroquine
Chloroquine and hydroxychloroquine inhibit in vitro SARS-CoV-2 [151]. These agents appear to interfere with viral entry into cells as well as viral replication. In addition, they attenuate cytokine production and inhibit autophagy and lysosomal activity in host cells [151]. Given the long history of use in patients with malaria as well as in patients with rheumatologic conditions, and considered the lack of alternatives, the use of hydroxychloroquine, alone or in combination with azithromycin (an antibiotic added mainly for its anti-inflammatory effects possibly due to attenuation of IL6), for the treatment of Covid-19 has widely spread despite very limited efficacy data and emerging concerns of cardiotoxicity, especially for the association of the two drugs. The only trial published so far is a small single center open label study on 36 patients with Covid-19. The primary outcome in the trial was viral clearance from the nasopharynx, not a clinical outcome. At day 6, 70% of patients who received hydroxychloroquine (n = 20) achieved viral clearance compared to 12.5% of patients in the control group (n = 16) [152]. The authors also pointed out the potential synergistic effect of the concomitant use of azithromycin since all the patients receiving the combination achieved viral clearance (n = 6). Following the publication, attention was drawn toward several design and methodological flaws of the study and the scientific validity of the findings have been questioned [153]. Beside the small sample size and the fact that no clinical or safety outcomes were reported, several confounding factors were observed including the fact that six patients in the hydroxychloroquine group that met the inclusion criteria were removed from the analysis due to cessation of treatment as a consequence of worsening illness or medication-related adverse effects. Another, still unpublished small clinical trial randomized 62 patients to receive hydroxychloroquine or placebo and found a reduction of time to clinical recovery. This work, nevertheless, did not stratify patients for comorbidities and the clinical endpoints were not clearly defined [154].
Pending peer review, the results from several other works have emerged which question the safety and efficacy of this treatment. A retrospective analysis of data from 368 hospitalized patients with Covid-19 across the United States investigated the risk of death and the need for mechanical ventilation based on exposure to hydroxychloroquine alone or with azithromycin, placing a cautionary note. In the study, hydroxychloroquine, either with or without azithromycin, did not reduce the risk of mechanical ventilation. Moreover, an increased overall mortality was identified in patients treated with hydroxychloroquine alone [155]. Similarly, in a retrospective analysis of hospitalized patients evaluating probability of intensive care transfer or death, by means of an inverse probability of treatment weighting approach, did not find evidence of hydroxychloroquine efficacy [156].
On 21 April, the National Institute of Health expert panel that issued Covid-19 treatment guidelines recommended against the use, outside clinical trials, of the combination of hydroxychloroquine plus azithromycin, because of the potential for toxicities. Also, it was recommended to pay attention toward patients receiving chloroquine or hydroxychloroquine for adverse effects, especially prolonged QTc interval.
6.3. SARS-CoV2-Specific Monoclonal Antibodies
Human monoclonal antibodies specific for the SARS-CoV-2 virus might represent a possible passive serotherapy for selected patients. Several SARS-CoV monoclonal antibodies with in vitro neutralizing activity were generated from B lymphocytes of patients that recovered from the 2003 epidemic. A single human monoclonal antibody with cross-neutralizing activity against SARS-CoV and SARS-CoV-2 was recently reported [157], however no clinical experience or recruiting trials are available at the moment.
6.4. Immunomodulatory Agents
Significantly increased amounts of several proinflammatory cytokines driving the uncontrolled immune inflammatory response of Covid-19 have been measured in serum of patients who develop severe or fatal disease [158]. Which mediators have the most important role in immunopathology is still to be clarified. Several biological agents targeting inflammatory cytokines and cytokines receptors have been proposed as potential candidates.
Preliminary observations have been reported with the use of tocilizumab, a humanized monoclonal antibody targeting IL-6 receptor, approved for the treatment of cytokine-release syndrome following chimeric antigen receptor T-cell (CAR-T) therapy [159]. In small case series, the repeated administration of tocilizumab to patients with severe Covid-19 was associated with rapid cessation of fever, improvement of respiratory functions and thoracic imaging, as well as reduction of C-reactive protein [160,161]. A larger, prospective, case series on 100 patients admitted to hospital for Covid-19 pneumonia showed an improved or stable respiratory status in 77 patients within 10 days from treatment start [162]. Several randomized-controlled trials are currently under way to evaluate the role of tocilizumab and other monoclonal antibodies targeting IL-6 such as sarilumab and siltuximab. Preliminary data on compassionate use of siltuximab in 21 patients with pneumonia have shown improvement in 7, yet no conclusions can be inferred given the lack of control arm in the study [163]. It should also be considered that IL-6 has also significant anti-infective roles, therefore caution is advised in respect to the possibility that its inhibition can result in greater incidence of opportunistic infections in treated patients, especially when given together with corticosteroids.
Other anti-cytokine drugs seem to have a rationale for the treatment of Covid-19 associated inflammation. This is the case of anakinra, an interleukin (IL)-1 receptor antagonist used for various rheumatologic conditions, especially considering the aforementioned ability of SARS-CoV and MERS-CoV to induce NLRP3 inflammasome and IL-1beta. A recent report showed promising results using high doses of anakinra intravenously in 29 patients with severe disease [164], with rapid decrease of inflammatory markers, progressive amelioration of respiratory function and increased survival compared to a retrospective cohort, with a good safety profile. A second report on subcutaneous administration in nine patients [165] showed safety of the drug, with a slower response on inflammatory markers. Another experience of high intravenous doses also showed safety and efficacy in severely affected subjects [166]. Similarly, given the major role of inflammatory macrophages in Covid-19 immunopathogenesis, emapalumab, an anti-IFN-γ monoclonal antibody used for the treatment of hemophagocytic lymphohistiocytosis, has been proposed [167]. Both drugs are under evaluation in currently recruiting trials. In addition, anti-TNF-α monoclonal antibodies have been proposed as potential treatment to prevent progression to needing intensive care in Covid-19 [168]. Elements supporting a role of anti-TNF-α are the evidence of elevated TNF-α levels in patients with severe Covid-19 [158], and the biologic effects of anti-TNF-α therapy, which include a rapid decrease in both IL-1 and IL-6 levels [169], as well as the observation in preclinical model that anti-TNFs ameliorate the course of severe respiratory syncytial virus (RSV) and influenza in mice [170]. Notably, lack of TNF-α receptor as well as in vivo TNF-α neutralization resulted in protection against SARS-CoV morbidity and mortality in mice [65,171].
6.5. Convalescent Plasma, Hyperimmune Globulins, and Intravenous Immunoglobulins (IVIG)
Convalescent plasma has been used for various viral infections including H1N1 influenza, SARS, and MERS with some evidence of potential benefit [172,173]. Hyperimmune globulin products are used in adults and children to prevent or to treat viral infections such as cytomegalovirus, varicella zoster, and respiratory syncytial virus. Plasma from individuals who have recovered from Covid-19 containing antibodies to SARS-CoV-2 or specific antibody preparations derived from plasma may suppress viremia and modify the inflammatory response [174]. In two small case series of critically ill patients with Covid-19, administration of convalescent plasma containing neutralizing antibody was followed by clinical improvement in all patients without safety concerns [175,176]. No experience with hyperimmune globulin products in Covid-19 has been published so far.
Small clinical experiences have been published with the use of donor pool intravenous immunoglobulin (IVIG) [7,177]. Their role is unclear, nevertheless IVIG may have both a partial inhibitory viral effect due to nonspecific cross-reaction, and a well-known immunomodulatory effect in several inflammatory conditions, including macrophage activation syndrome [178]. IVIG use may be most relevant in patients with specific organ involvement such as myocarditis and Guillan-Barré syndrome, which have also been reported in association with SARS CoV-2 infection [179].
6.6. Interferons and JAK-Inhibitors
Interferons are key molecules of innate antiviral response and might have a different role depending on the timing of administration, based on preclinical observation on a mouse model [65]. IFNs have been proposed as a potential treatment of Covid-19 for their in vitro and in vivo antiviral properties. So far, the use of inhalatory INF-α1b has been used in China but no clinical data are available regarding its efficacy. Observations in SARS and MERS on the combined use of IFN and ribavirin failed to show any improvement in mortality or viral clearance [150,180]. Given the previously discussed role of IFN in coronavirus diseases, treatment timing could represent the most determining factor. In mouse models, IFN-I administration within 1 day after infection protected mice from lethal MERS infection, while delayed treatment failed to effectively inhibit virus replication, and resulted in worsening of inflammatory changes in the lungs [49].
On the other hand, Janus Kinase (JAK) inhibitors have also been proposed to curb excessive IFN signaling in severe Covid-19. Baricitinib has attracted interest since, beside its immunomodulatory properties, it may reduce the ability of the virus to infect lung cells [181]. However, these drugs may also result in substantial depression of the immune response. A small, non-randomized study reported a cohort of 12 patients hospitalized for moderate Covid-19 pneumonia who were treated with baricitinib in addition to lopinavir/ritonavir. Compared to the previous 12 consecutive patients with moderate Covid-19 admitted before study start, who were treated with lopinavir/ritonavir and hydroxychloroquine, baricitinib-treated patients had a faster improvement of clinical conditions and respiratory parameters, did not require intensive care, and were discharged earlier. Notably, treatment was tolerated in all patients, with no serious adverse events or opportunistic infections [182]. Larger clinical trials are ongoing.
6.7. Corticosteroids
Corticosteroids have a rationale in Covid-19 for their potent anti-inflammatory effect and their potential role in suppressing cytokine-related lung injury. However, considerations have been made that beside suppressing lung inflammation, corticosteroids also inhibit immune responses and pathogen clearance. Observational studies in patients with SARS and MERS reported clinical efficacy but no clear association with improved survival, while demonstrating delayed viral clearance and high rates of complications [150,183,184,185,186]. In a recent meta-analysis evaluating the role of corticosteroids as adjunctive therapy in patients with severe pneumonia caused by influenza, corticosteroid therapy seemed to confer an increased risk of secondary bacterial infection and mortality [187]. It is noteworthy to report, however, that a recent COVID-19 series found that patients with ARDS treated with methylprednisolone exhibited lower mortality (46% vs. 62%, hazard ratio for death 0.38, p = 0.003) [188]. Based on these experiences, further studies assessing the role of corticosteroids in Covid-19 would be of extreme importance, and several clinical trials are ongoing. The U.S. National Institute of Health Covid-19 expert panel considered their use in severely ill patients reasonable on a case by case basis, taking into account factors as pre-existing medical conditions requiring chronic corticosteroid use, or hemodynamic status [189].
6.8. Other Therapeutic Strategies
The observation that viral entry into cells via ACE2 receptor requires priming by cellular proteases, mainly TMPRSS2, prompted in vitro trials with two clinically approved drugs for acute pancreatitis (nafamostat and camostat) which resulted in blockade of viral entry [16]. Another drug inhibiting TMPRSS2 is bromhexine, a widely used antitussive agent. Considering the role of TMPRSS2 in viral entry, these drugs could be suitable as prophylaxis in high-risk settings. All these three drugs are currently undergoing clinical trials.
The use of heparin for Covid-19-associated coagulopathy and its adjunctive potential anti-inflammatory role has been previously discussed [190].
7. Acquired Protection and Development of Vaccines
It is too early to be able to determine whether people can be re-infected by SARS-CoV-2 after recovery from Covid-19. Re-detection of viral RNA on nasopharyngeal swabs after two consecutive negative results was reported in asymptomatic patients during the convalescent phase [191]. However, since viral RNA shedding has been observed for days to weeks after resolution of symptoms [140,192], one possible explanation is that patients in whom SARS-CoV-2 RNA was re-detected had a false negative result due to an insufficient viral load of the specimen, or persistence of viral nucleic acids in the airways in the absence of the full, potentially infectious virus.
Much of our understanding of the immune response to coronavirus in humans comes from observations in SARS-CoV and MERS-CoV. In longitudinal studies investigating the humoral immune response in patients who recovered from SARS and MERS, neutralizing antibodies against virus S protein were detectable for up to two years [193,194] in SARS-CoV, and up to three years in MERS-CoV [195]. Whether humoral immunity confers protection to reinfection remains to be established. A strong anti-spike antibody response appears to be protective in the susceptible host [196]. However, antibodies titer markedly declines already after one year and at 6 years only a minority of patients who recover from SARS show detectable IgG [197], suggesting that memory B-cells against SARS-CoV diminish over time. In recent cohort studies, antibodies against SARS-CoV-2 have been detected as early as the 4th day after symptom onset [198] and antibody levels do not appear to correlate with clinical severity. Notably, a significant proportion of patients (up to 30%) who recovered from Covid-19 develop low or absent neutralizing antibodies [9]. The reasons why coronavirus infections do not elicit robust and long-lasting antibody response are still unclear.
According to some authors, T-cell response may be more important than the humoral response, both for recovering from primary infection and to prevent reinfections. Unlike antibodies, SARS-CoV-specific memory, CD8 T cells have been observed for up to 6 years post-infection [199,200,201,202,203,204]. Virus-specific CD8 T cells are required for pathogen clearance during acute infection. After that, memory CD8 T cells persist at anatomical front-line sites of specific microbial exposure [205] and, upon re-stimulation, are capable of proliferating and secreting effector cytokines (IFN, TNF, and IL-2) and cytotoxic molecules (granzyme B and perforin), and to recruiting other immune cells [206]. So far, most of our understanding is derived from experimental studies in animal models. In mouse models, enhancement of SARS-CoV specific CD8 T cells by immunization with viral peptide-pulsed DCs results in a robust T-cell response, earlier virus clearance, and increased mouse survival [207,208]. Recent observation in agammaglobulinemic patients of spontaneous recovery from SARS-CoV-2 infection supports the hypothesis that T-cell immunity might be more important than antibody response [71].
These observations cast doubts on whether the antibody response can be used as a correlate or surrogate of protection following wild infection. Also, it is likely that vaccines combining both humoral and cellular responses might be necessary for coronavirus prevention [196,199], with humoral immunity being relevant especially in the first phase of virus infection, reducing the initial viral load and controlling its spreading in respiratory organs, while cellular immunity being important in the control of the inflammatory phase of the disease. Furthermore, the efficacy of the above-mentioned convalescent plasma therapy suggests the potential role of humoral response elicited by a vaccine. More information on the protective role of both humoral and cellular compartments will probably be obtained from observation of the vaccine-induced immune response.
8. Conclusions
Despite huge amounts of data from thousands of research articles published each month, most knowledge on Covid-19 is derived from descriptive works. To date a possible therapeutic approach could involve an antiviral and a cell-entry inhibitor for the first phase and an immunomodulant such as a IL6 or IL1 blocker for the second phase if inflammation persists, with special treatment such as convalescent plasma, hyperimmune globulins or SARS-CoV-2-specific monoclonal antibodies reserved to selected patients. Even if a fairly defined picture is being formed that summarizes the importance of virologic, vascular, and inflammatory factors, much remains to be understood regarding the relationship of dependence between distinct pathological events during the course of infection. Consequently, the proposal of therapeutic interventions which may seem rational in the various pathological phases is still today largely based on hypotheses.
Author Contributions
Conceptualization, A.T., S.V., and S.N.; methodology, S.L.; validation, S.N., S.L., and S.V.; data curation, S.N.; writing—Original draft preparation, S.L.; writing—Review and editing, S.L., A.T., S.V., S.N.; supervision, A.T. All authors have read and agreed to the published version of the manuscript, please turn to the CRediT taxonomy for the term explanation.
Funding
This research was funded by IRCCS Burlo Garofolo, grant number 24/17”.
Conflicts of Interest
The authors declare no conflict of interest.
References
- WHO. Coronavirus Disease (COVID-19) Dashboard. Available online: https://www.covid19.who.int/2020 (accessed on 5 May 2020).
- Zhang, S.; Diao, M.; Yu, W.; Pei, L.; Lin, Z.; Chen, D. Estimation of the reproductive number of novel coronavirus (COVID-19) and the probable outbreak size on the Diamond Princess cruise ship: A data-driven analysis. Int. J. Infect. Dis. 2020, 93, 201–204. [Google Scholar] [CrossRef]
- Sanche, S.; Lin, Y.T.; Xu, C.; Romero-Severson, E.; Hengartner, N.; Ke, R. High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2. Emerg. Infect. Dis. 2020, 26. [Google Scholar] [CrossRef]
- Verity, R.; Okell, L.C.; Dorigatti, I.; Winskill, P.; Whittaker, C.; Imai, N.; Cuomo-Dannenburg, G.; Thompson, H.; Walker, P.G.T.; Fu, H.; et al. Estimates of the severity of coronavirus disease 2019: A model-based analysis. Lancet Infect. Dis. 2020. [Google Scholar] [CrossRef]
- McCombs, A.; Kadelka, C. A model-based evaluation of the efficacy of COVID-19 social distancing, testing and hospital triage policies. medRxiv 2020. [Google Scholar] [CrossRef]
- De Wit, E.; van Doremalen, N.; Falzarano, D.; Munster, V.J. SARS and MERS: Recent insights into emerging coronaviruses. Nat. Rev. Microbiol. 2016, 14, 523–534. [Google Scholar] [CrossRef]
- Chen, N.; Zhou, M.; Dong, X.; Qu, J.; Gong, F.; Han, Y.; Qiu, Y.; Wang, J.; Liu, Y.; Wei, Y.; et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet 2020, 395, 507–513. [Google Scholar] [CrossRef]
- Zhou, F.; Yu, T.; Du, R.; Fan, G.; Liu, Y.; Liu, Z.; Xiang, J.; Wang, Y.; Song, B.; Gu, X.; et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. Lancet 2020, 11, 11. [Google Scholar] [CrossRef]
- Wu, F.; Wang, A.; Liu, M.; Wang, Q.; Chen, J.; Xia, S.; Ling, Y.; Zhang, Y.; Xun, J.; Lu, L.; et al. Neutralizing antibody responses to SARS-CoV-2 in a COVID-19 recovered patient cohort and their implications. medRxiv 2020. [Google Scholar] [CrossRef]
- Garg, S.; Kim, L.; Whitaker, M.; O’Halloran, A.; Cummings, C.; Holstein, R.; Prill, M.; Chai, S.J.; Kirley, P.D.; Alden, N.B.; et al. Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019—COVID-NET, 14 States, March 1–30, 2020. MMWR Morb. Mortal Wkly. Rep. 2020, 69, 458–464. [Google Scholar] [CrossRef]
- Wu, F.; Zhao, S.; Yu, B.; Chen, Y.M.; Wang, W.; Song, Z.G.; Hu, Y.; Tao, Z.W.; Tian, J.H.; Pei, Y.Y.; et al. A new coronavirus associated with human respiratory disease in China. Nature 2020, 579, 265–269. [Google Scholar] [CrossRef]
- Tang, X.; Wu, C.; Li, X.; Song, Y.; Yao, X.; Wu, X.; Duan, Y.; Zhang, H.; Wang, Y.; Qian, Z.; et al. On the origin and continuing evolution of SARS-CoV-2. Natl. Sci. Rev. 2020. [Google Scholar] [CrossRef]
- Zou, X.; Chen, K.; Zou, J.; Han, P.; Hao, J.; Han, Z. Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection. Front. Med. 2020. [Google Scholar] [CrossRef] [PubMed]
- Li, W.; Moore, M.J.; Vasilieva, N.; Sui, J.; Wong, S.K.; Berne, M.A.; Somasundaran, M.; Sullivan, J.L.; Luzuriaga, K.; Greenough, T.C.; et al. Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus. Nature 2003, 426, 450–454. [Google Scholar] [CrossRef] [PubMed]
- Wan, Y.; Shang, J.; Graham, R.; Baric, R.S.; Li, F. Receptor Recognition by the Novel Coronavirus from Wuhan: An Analysis Based on Decade-Long Structural Studies of SARS Coronavirus. J. Virol. 2020, 94, 17. [Google Scholar] [CrossRef] [PubMed]
- Hoffmann, M.; Kleine-Weber, H.; Schroeder, S.; Kruger, N.; Herrler, T.; Erichsen, S.; Schiergens, T.S.; Herrler, G.; Wu, N.H.; Nitsche, A.; et al. SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor. Cell 2020, 181, 271–280. [Google Scholar] [CrossRef]
- Jia, H.P.; Look, D.C.; Shi, L.; Hickey, M.; Pewe, L.; Netland, J.; Farzan, M.; Wohlford-Lenane, C.; Perlman, S.; McCray, P.B., Jr. ACE2 receptor expression and severe acute respiratory syndrome coronavirus infection depend on differentiation of human airway epithelia. J. Virol. 2005, 79, 14614–14621. [Google Scholar] [CrossRef]
- Wrapp, D.; Wang, N.; Corbett, K.S.; Goldsmith, J.A.; Hsieh, C.L.; Abiona, O.; Graham, B.S.; McLellan, J.S. Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation. Science 2020, 367, 1260–1263. [Google Scholar] [CrossRef]
- Yan, R.; Zhang, Y.; Li, Y.; Xia, L.; Guo, Y.; Zhou, Q. Structural basis for the recognition of the SARS-CoV-2 by full-length human ACE2. Science 2020, 367, 1444–1448. [Google Scholar] [CrossRef]
- Wang, Q.; Zhang, Y.; Wu, L.; Niu, S.; Song, C.; Zhang, Z.; Lu, G.; Qiao, C.; Hu, Y.; Yuen, K.Y.; et al. Structural and Functional Basis of SARS-CoV-2 Entry by Using Human ACE2. Cell 2020. [Google Scholar] [CrossRef]
- Cristiani, L.; Mancino, E.; Matera, L.; Nenna, R.; Pierangeli, A.; Scagnolari, C.; Midulla, F. Will children reveal their secret? The coronavirus dilemma. Eur. Respir. J. 2020. [Google Scholar] [CrossRef]
- Lucas, J.M.; Heinlein, C.; Kim, T.; Hernandez, S.A.; Malik, M.S.; True, L.D.; Morrissey, C.; Corey, E.; Montgomery, B.; Mostaghel, E.; et al. The androgen-regulated protease TMPRSS2 activates a proteolytic cascade involving components of the tumor microenvironment and promotes prostate cancer metastasis. Cancer Discov. 2014, 4, 1310–1325. [Google Scholar] [CrossRef] [PubMed]
- Gudbjartsson, D.F.; Helgason, A.; Jonsson, H.; Magnusson, O.T.; Melsted, P.; Norddahl, G.L.; Saemundsdottir, J.; Sigurdsson, A.; Sulem, P.; Agustsdottir, A.B.; et al. Spread of SARS-CoV-2 in the Icelandic Population. N. Engl. J. Med. 2020. [Google Scholar] [CrossRef] [PubMed]
- Glowacka, I.; Bertram, S.; Herzog, P.; Pfefferle, S.; Steffen, I.; Muench, M.O.; Simmons, G.; Hofmann, H.; Kuri, T.; Weber, F.; et al. Differential downregulation of ACE2 by the spike proteins of severe acute respiratory syndrome coronavirus and human coronavirus NL63. J. Virol. 2010, 84, 1198–1205. [Google Scholar] [CrossRef] [PubMed]
- Tikellis, C.; Thomas, M.C. Angiotensin-Converting Enzyme 2 (ACE2) Is a Key Modulator of the Renin Angiotensin System in Health and Disease. Int. J. Pept. 2012, 2012, 256294. [Google Scholar] [CrossRef]
- Kuba, K.; Imai, Y.; Rao, S.; Gao, H.; Guo, F.; Guan, B.; Huan, Y.; Yang, P.; Zhang, Y.; Deng, W.; et al. A crucial role of angiotensin converting enzyme 2 (ACE2) in SARS coronavirus-induced lung injury. Nat. Med. 2005, 11, 875–879. [Google Scholar] [CrossRef]
- Rose-John, S. The Soluble Interleukin 6 Receptor: Advanced Therapeutic Options in Inflammation. Clin. Pharm. 2017, 102, 591–598. [Google Scholar] [CrossRef]
- Zhu, N.; Zhang, D.; Wang, W.; Li, X.; Yang, B.; Song, J.; Zhao, X.; Huang, B.; Shi, W.; Lu, R.; et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N. Engl. J. Med. 2020, 382, 727–733. [Google Scholar] [CrossRef]
- Chen, I.Y.; Moriyama, M.; Chang, M.F.; Ichinohe, T. Severe Acute Respiratory Syndrome Coronavirus Viroporin 3a Activates the NLRP3 Inflammasome. Front. Microbiol. 2019, 10, 50. [Google Scholar] [CrossRef]
- Zhao, Y.; Zhao, Z.; Wang, Y.; Zhou, Y.; Ma, Y.; Zuo, W. Single-cell RNA expression profiling of ACE2, the putative receptor of Wuhan 2019-nCov. bioRxiv 2020. [Google Scholar] [CrossRef]
- Varga, Z.; Flammer, A.J.; Steiger, P.; Haberecker, M.; Andermatt, R.; Zinkernagel, A.S.; Mehra, M.R.; Schuepbach, R.A.; Ruschitzka, F.; Moch, H. Endothelial cell infection and endotheliitis in COVID-19. Lancet 2020. [Google Scholar] [CrossRef]
- Lamers, M.M.; Beumer, J.; van der Vaart, J.; Knoops, K.; Puschhof, J.; Breugem, T.I.; Ravelli, R.B.G.; Paul van Schayck, J.; Mykytyn, A.Z.; Duimel, H.Q.; et al. SARS-CoV-2 productively infects human gut enterocytes. Science 2020. [Google Scholar] [CrossRef]
- Wang, X.; Zhou, Y.; Jiang, N.; Zhou, Q.; Ma, W.L. Persistence of intestinal SARS-CoV-2 infection in patients with COVID-19 leads to re-admission after pneumonia resolved. Int. J. Infect. Dis. 2020. [Google Scholar] [CrossRef] [PubMed]
- Channappanavar, R.; Perlman, S. Pathogenic human coronavirus infections: Causes and consequences of cytokine storm and immunopathology. Semin. Immunopathol. 2017, 39, 529–539. [Google Scholar] [CrossRef] [PubMed]
- Li, H.; Liu, L.; Zhang, D.; Xu, J.; Dai, H.; Tang, N.; Su, X.; Cao, B. SARS-CoV-2 and viral sepsis: Observations and hypotheses. Lancet 2020. [Google Scholar] [CrossRef]
- Bikdeli, B.; Madhavan, M.V.; Jimenez, D.; Chuich, T.; Dreyfus, I.; Driggin, E.; Nigoghossian, C.D.; Ageno, W.; Madjid, M.; Guo, Y.; et al. COVID-19 and Thrombotic or Thromboembolic Disease: Implications for Prevention, Antithrombotic Therapy, and Follow-up. J. Am. Coll. Cardiol. 2020. [Google Scholar] [CrossRef] [PubMed]
- Gattinoni, L.; Coppola, S.; Cressoni, M.; Busana, M.; Chiumello, D. Covid-19 Does Not Lead to a “Typical” Acute Respiratory Distress Syndrome. Am. J. Respir. Crit. Care Med. 2020. [Google Scholar] [CrossRef]
- Cheung, C.Y.; Poon, L.L.; Ng, I.H.; Luk, W.; Sia, S.F.; Wu, M.H.; Chan, K.H.; Yuen, K.Y.; Gordon, S.; Guan, Y.; et al. Cytokine responses in severe acute respiratory syndrome coronavirus-infected macrophages in vitro: Possible relevance to pathogenesis. J. Virol. 2005, 79, 7819–7826. [Google Scholar] [CrossRef]
- Zheng, J. SARS-CoV-2: An Emerging Coronavirus that Causes a Global Threat. Int. J. Biol. Sci. 2020, 16, 1678–1685. [Google Scholar] [CrossRef]
- Wang, X.; Xu, W.; Hu, G.; Xia, S.; Sun, Z.; Liu, Z.; Xie, Y.; Zhang, R.; Jiang, S.; Lu, L. SARS-CoV-2 infects T lymphocytes through its spike protein-mediated membrane fusion. Cell. Mol. Immunol. 2020, 1–3. [Google Scholar] [CrossRef]
- Wang, D.; Hu, B.; Hu, C.; Zhu, F.; Liu, X.; Zhang, J.; Wang, B.; Xiang, H.; Cheng, Z.; Xiong, Y.; et al. Clinical Characteristics of 138 Hospitalized Patients with 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA 2020, 323, 1061–1069. [Google Scholar] [CrossRef]
- Crouse, J.; Kalinke, U.; Oxenius, A. Regulation of antiviral T cell responses by type I interferons. Nat. Rev. Immunol. 2015, 15, 231–242. [Google Scholar] [CrossRef] [PubMed]
- Decroly, E.; Imbert, I.; Coutard, B.; Bouvet, M.; Selisko, B.; Alvarez, K.; Gorbalenya, A.E.; Snijder, E.J.; Canard, B. Coronavirus nonstructural protein 16 is a cap-0 binding enzyme possessing (nucleoside-2’O)-methyltransferase activity. J. Virol. 2008, 82, 8071–8084. [Google Scholar] [CrossRef] [PubMed]
- Zust, R.; Cervantes-Barragan, L.; Habjan, M.; Maier, R.; Neuman, B.W.; Ziebuhr, J.; Szretter, K.J.; Baker, S.C.; Barchet, W.; Diamond, M.S.; et al. Ribose 2′-O-methylation provides a molecular signature for the distinction of self and non-self mRNA dependent on the RNA sensor Mda5. Nat. Immunol. 2011, 12, 137–143. [Google Scholar] [CrossRef]
- Sun, L.; Xing, Y.; Chen, X.; Zheng, Y.; Yang, Y.; Nichols, D.B.; Clementz, M.A.; Banach, B.S.; Li, K.; Baker, S.C.; et al. Coronavirus papain-like proteases negatively regulate antiviral innate immune response through disruption of STING-mediated signaling. PLoS ONE 2012, 7, e30802. [Google Scholar] [CrossRef] [PubMed]
- Menachery, V.D.; Eisfeld, A.J.; Schafer, A.; Josset, L.; Sims, A.C.; Proll, S.; Fan, S.; Li, C.; Neumann, G.; Tilton, S.C.; et al. Pathogenic influenza viruses and coronaviruses utilize similar and contrasting approaches to control interferon-stimulated gene responses. mBio 2014, 5, e01174-14. [Google Scholar] [CrossRef] [PubMed]
- Frieman, M.; Yount, B.; Heise, M.; Kopecky-Bromberg, S.A.; Palese, P.; Baric, R.S. Severe acute respiratory syndrome coronavirus ORF6 antagonizes STAT1 function by sequestering nuclear import factors on the rough endoplasmic reticulum/Golgi membrane. J. Virol. 2007, 81, 9812–9824. [Google Scholar] [CrossRef]
- Chang, C.-Y.; Liu, H.M.; Chang, M.-F.; Chang, S.C. Middle East respiratory syndrome coronavirus nucleocapsid protein suppresses type I and type III interferon induction by targeting RIG-I signaling. J. Virol. 2020. [Google Scholar] [CrossRef]
- Channappanavar, R.; Fehr, A.R.; Zheng, J.; Wohlford-Lenane, C.; Abrahante, J.E.; Mack, M.; Sompallae, R.; McCray, P.B., Jr.; Meyerholz, D.K.; Perlman, S. IFN-I response timing relative to virus replication determines MERS coronavirus infection outcomes. J. Clin. Investig. 2019, 130, 3625–3639. [Google Scholar] [CrossRef]
- Jing, H.; Su, H.C. New immunodeficiency syndromes that help us understand the IFN-mediated antiviral immune response. Curr. Opin. Pediatr. 2019, 31, 815–820. [Google Scholar] [CrossRef]
- Doms, A.; Sanabria, T.; Hansen, J.N.; Altan-Bonnet, N.; Holm, G.H. 25-Hydroxycholesterol Production by the Cholesterol-25-Hydroxylase Interferon-Stimulated Gene Restricts Mammalian Reovirus Infection. J. Virol. 2018, 92. [Google Scholar] [CrossRef]
- Liu, S.Y.; Aliyari, R.; Chikere, K.; Li, G.; Marsden, M.D.; Smith, J.K.; Pernet, O.; Guo, H.; Nusbaum, R.; Zack, J.A.; et al. Interferon-inducible cholesterol-25-hydroxylase broadly inhibits viral entry by production of 25-hydroxycholesterol. Immunity 2013, 38, 92–105. [Google Scholar] [CrossRef] [PubMed]
- Wrensch, F.; Winkler, M.; Pohlmann, S. IFITM proteins inhibit entry driven by the MERS-coronavirus spike protein: Evidence for cholesterol-independent mechanisms. Viruses 2014, 6, 3683–3698. [Google Scholar] [CrossRef] [PubMed]
- Everitt, A.R.; Clare, S.; Pertel, T.; John, S.P.; Wash, R.S.; Smith, S.E.; Chin, C.R.; Feeley, E.M.; Sims, J.S.; Adams, D.J.; et al. IFITM3 restricts the morbidity and mortality associated with influenza. Nature 2012, 484, 519–523. [Google Scholar] [CrossRef] [PubMed]
- Trouillet-Assant, S.; Viel, S.; Gaymard, A.; Pons, S.; Richard, J.C.; Perret, M.; Villard, M.; Brengel-Pesce, K.; Lina, B.; Mezidi, M.; et al. Type I IFN immunoprofiling in COVID-19 patients. J. Allergy Clin. Immunol. 2020. [Google Scholar] [CrossRef] [PubMed]
- Waggoner, S.N.; Reighard, S.D.; Gyurova, I.E.; Cranert, S.A.; Mahl, S.E.; Karmele, E.P.; McNally, J.P.; Moran, M.T.; Brooks, T.R.; Yaqoob, F.; et al. Roles of natural killer cells in antiviral immunity. Curr. Opin. Virol. 2016, 16, 15–23. [Google Scholar] [CrossRef] [PubMed]
- The involvement of natural killer cells in the pathogenesis of severe acute respiratory syndrome. Am. J. Clin. Pathol. 2004, 121, 507–511. [CrossRef]
- Wang, F.; Nie, J.; Wang, H.; Zhao, Q.; Xiong, Y.; Deng, L.; Song, S.; Ma, Z.; Mo, P.; Zhang, Y. Characteristics of peripheral lymphocyte subset alteration in COVID-19 pneumonia. J. Infect. Dis. 2020. [Google Scholar] [CrossRef]
- Law, H.K.; Cheung, C.Y.; Ng, H.Y.; Sia, S.F.; Chan, Y.O.; Luk, W.; Nicholls, J.M.; Peiris, J.S.; Lau, Y.L. Chemokine up-regulation in SARS-coronavirus-infected, monocyte-derived human dendritic cells. Blood 2005, 106, 2366–2374. [Google Scholar] [CrossRef]
- Cervantes-Barragan, L.; Zust, R.; Weber, F.; Spiegel, M.; Lang, K.S.; Akira, S.; Thiel, V.; Ludewig, B. Control of coronavirus infection through plasmacytoid dendritic-cell-derived type I interferon. Blood 2007, 109, 1131–1137. [Google Scholar] [CrossRef]
- Legge, K.L.; Braciale, T.J. Accelerated migration of respiratory dendritic cells to the regional lymph nodes is limited to the early phase of pulmonary infection. Immunity 2003, 18, 265–277. [Google Scholar] [CrossRef]
- Lau, Y.L.; Peiris, J.S.; Law, H.K. Role of dendritic cells in SARS coronavirus infection. Hong Kong Med. J. 2012, 18 (Suppl. 3), 28–30. [Google Scholar] [PubMed]
- Park, M.D. Macrophages: A Trojan horse in COVID-19? Nat. Rev. Immunol. 2020. [Google Scholar] [CrossRef] [PubMed]
- Liao, M.; Liu, Y.; Yuan, J.; Wen, Y.; Xu, G.; Zhao, J.; Chen, L.; Li, J.; Wang, X.; Wang, F.; et al. The landscape of lung bronchoalveolar immune cells in COVID-19 revealed by single-cell RNA sequencing. medRxiv 2020. [Google Scholar] [CrossRef]
- Channappanavar, R.; Fehr, A.R.; Vijay, R.; Mack, M.; Zhao, J.; Meyerholz, D.K.; Perlman, S. Dysregulated Type I Interferon and Inflammatory Monocyte-Macrophage Responses Cause Lethal Pneumonia in SARS-CoV-Infected Mice. Cell Host Microbe 2016, 19, 181–193. [Google Scholar] [CrossRef]
- Dienz, O.; Rud, J.G.; Eaton, S.M.; Lanthier, P.A.; Burg, E.; Drew, A.; Bunn, J.; Suratt, B.T.; Haynes, L.; Rincon, M. Essential role of IL-6 in protection against H1N1 influenza virus by promoting neutrophil survival in the lung. Mucosal Immunol. 2012, 5, 258–266. [Google Scholar] [CrossRef]
- Shin, H.S.; Kim, Y.; Kim, G.; Lee, J.Y.; Jeong, I.; Joh, J.S.; Kim, H.; Chang, E.; Sim, S.Y.; Park, J.S.; et al. Immune Responses to Middle East Respiratory Syndrome Coronavirus During the Acute and Convalescent Phases of Human Infection. Clin. Infect. Dis. 2019, 68, 984–992. [Google Scholar] [CrossRef]
- Jenkins, M.K.; Moon, J.J. The role of naive T cell precursor frequency and recruitment in dictating immune response magnitude. J. Immunol. 2012, 188, 4135–4140. [Google Scholar] [CrossRef]
- Zhao, J.; Zhao, J.; Mangalam, A.K.; Channappanavar, R.; Fett, C.; Meyerholz, D.K.; Agnihothram, S.; Baric, R.S.; David, C.S.; Perlman, S. Airway Memory CD4(+) T Cells Mediate Protective Immunity against Emerging Respiratory Coronaviruses. Immunity 2016, 44, 1379–1391. [Google Scholar] [CrossRef]
- Ahn, J.Y.; Sohn, Y.; Lee, S.H.; Cho, Y.; Hyun, J.H.; Baek, Y.J.; Jeong, S.J.; Kim, J.H.; Ku, N.S.; Yeom, J.S.; et al. Use of Convalescent Plasma Therapy in Two COVID-19 Patients with Acute Respiratory Distress Syndrome in Korea. J. Korean Med. Sci. 2020, 35, e149. [Google Scholar] [CrossRef]
- Soresina, A.; Moratto, D.; Chiarini, M.; Paolillo, C.; Baresi, G.; Foca, E.; Bezzi, M.; Baronio, B.; Giacomelli, M.; Badolato, R. Two X-linked agammaglobulinemia patients develop pneumonia as COVID-19 manifestation but recover. Pediatr. Allergy Immunol. 2020. [Google Scholar] [CrossRef]
- Quinti, I.; Lougaris, V.; Milito, C.; Cinetto, F.; Pecoraro, A.; Mezzaroma, I.; Mastroianni, C.M.; Turriziani, O.; Bondioni, M.P.; Filippini, M.; et al. A possible role for B cells in COVID-19?: Lesson from patients with Agammaglobulinemia. J. Allergy Clin. Immunol. 2020. [Google Scholar] [CrossRef] [PubMed]
- Huisman, W.; Martina, B.E.; Rimmelzwaan, G.F.; Gruters, R.A.; Osterhaus, A.D. Vaccine-induced enhancement of viral infections. Vaccine 2009, 27, 505–512. [Google Scholar] [CrossRef] [PubMed]
- Wang, Q.; Zhang, L.; Kuwahara, K.; Li, L.; Liu, Z.; Li, T.; Zhu, H.; Liu, J.; Xu, Y.; Xie, J.; et al. Immunodominant SARS Coronavirus Epitopes in Humans Elicited both Enhancing and Neutralizing Effects on Infection in Non-human Primates. ACS Infect. Dis. 2016, 2, 361–376. [Google Scholar] [CrossRef] [PubMed]
- Wang, W.H.; Lin, C.Y.; Chang, K.; Urbina, A.N.; Assavalapsakul, W.; Thitithanyanont, A.; Lu, P.L.; Chen, Y.H.; Wang, S.F. A clinical and epidemiological survey of the largest dengue outbreak in Southern Taiwan in 2015. Int. J. Infect. Dis. 2019, 88, 88–99. [Google Scholar] [CrossRef] [PubMed]
- Oliveira, R.A.; de Oliveira-Filho, E.F.; Fernandes, A.I.; Brito, C.A.; Marques, E.T.; Tenorio, M.C.; Gil, L.H. Previous dengue or Zika virus exposure can drive to infection enhancement or neutralisation of other flaviviruses. Mem. Inst. Oswaldo Cruz 2019, 114, e190098. [Google Scholar] [CrossRef] [PubMed]
- Tetro, J.A. Is COVID-19 receiving ADE from other coronaviruses? Microbes Infect. 2020, 22, 72–73. [Google Scholar] [CrossRef]
- Liu, L.; Wei, Q.; Lin, Q.; Fang, J.; Wang, H.; Kwok, H.; Tang, H.; Nishiura, K.; Peng, J.; Tan, Z.; et al. Anti-spike IgG causes severe acute lung injury by skewing macrophage responses during acute SARS-CoV infection. JCI Insight 2019, 4. [Google Scholar] [CrossRef]
- Harzallah, I.; Debliquis, A.; Drenou, B. Lupus anticoagulant is frequent in patients with Covid-19. J. Thromb. Haemost. 2020. [Google Scholar] [CrossRef]
- Zhang, Y.; Xiao, M.; Zhang, S.; Xia, P.; Cao, W.; Jiang, W.; Chen, H.; Ding, X.; Zhao, H.; Zhang, H.; et al. Coagulopathy and Antiphospholipid Antibodies in Patients with Covid-19. N. Engl. J. Med. 2020. [Google Scholar] [CrossRef]
- Cheng, Y.; Cheng, G.; Chui, C.H.; Lau, F.Y.; Chan, P.K.; Ng, M.H.; Sung, J.J.; Wong, R.S. ABO blood group and susceptibility to severe acute respiratory syndrome. JAMA 2005, 293, 1450–1451. [Google Scholar] [CrossRef]
- Zhao, J.; Yang, Y.; Huang, H.-P.; Li, D.; Gu, D.-F.; Lu, X.-F.; Zhang, Z.; Liu, L.; Liu, T.; Liu, Y.-K.; et al. Relationship between the ABO Blood Group and the COVID-19 Susceptibility. medRxiv 2020. [Google Scholar] [CrossRef]
- Guillon, P.; Clement, M.; Sebille, V.; Rivain, J.G.; Chou, C.F.; Ruvoen-Clouet, N.; Le Pendu, J. Inhibition of the interaction between the SARS-CoV spike protein and its cellular receptor by anti-histo-blood group antibodies. Glycobiology 2008, 18, 1085–1093. [Google Scholar] [CrossRef] [PubMed]
- Rouse, B.T.; Sehrawat, S. Immunity and immunopathology to viruses: What decides the outcome? Nat. Rev. Immunol. 2010, 10, 514–526. [Google Scholar] [CrossRef] [PubMed]
- Park, W.B.; Kwon, N.J.; Choi, S.J.; Kang, C.K.; Choe, P.G.; Kim, J.Y.; Yun, J.; Lee, G.W.; Seong, M.W.; Kim, N.J.; et al. Virus Isolation from the First Patient with SARS-CoV-2 in Korea. J. Korean Med. Sci. 2020, 35. [Google Scholar] [CrossRef] [PubMed]
- Yang, X.; Yu, Y.; Xu, J.; Shu, H.; Xia, J.; Liu, H.; Wu, Y.; Zhang, L.; Yu, Z.; Fang, M.; et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: A single-centered, retrospective, observational study. Lancet Respir. Med. 2020, 8, 475–481. [Google Scholar] [CrossRef]
- Ruan, Q.; Yang, K.; Wang, W.; Jiang, L.; Song, J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensiv. Care Med. 2020, 1–3. [Google Scholar] [CrossRef]
- Wynants, L.; Van Calster, B.; Bonten, M.M.J.; Collins, G.S.; Debray, T.P.A.; De Vos, M.; Haller, M.C.; Heinze, G.; Moons, K.G.M.; Riley, R.D.; et al. Prediction models for diagnosis and prognosis of covid-19 infection: Systematic review and critical appraisal. BMJ 2020, 369. [Google Scholar] [CrossRef]
- Wong, R.S.; Wu, A.; To, K.F.; Lee, N.; Lam, C.W.; Wong, C.K.; Chan, P.K.; Ng, M.H.; Yu, L.M.; Hui, D.S.; et al. Haematological manifestations in patients with severe acute respiratory syndrome: Retrospective analysis. BMJ 2003, 326, 1358–1362. [Google Scholar] [CrossRef]
- Summerfield, A.; Alves, M.; Ruggli, N.; de Bruin, M.G.; McCullough, K.C. High IFN-alpha responses associated with depletion of lymphocytes and natural IFN-producing cells during classical swine fever. J. Interferon Cytokine Res. 2006, 26, 248–255. [Google Scholar] [CrossRef]
- Kamphuis, E.; Junt, T.; Waibler, Z.; Forster, R.; Kalinke, U. Type I interferons directly regulate lymphocyte recirculation and cause transient blood lymphopenia. Blood 2006, 108, 3253–3261. [Google Scholar] [CrossRef]
- Zheng, M.; Gao, Y.; Wang, G.; Song, G.; Liu, S.; Sun, D.; Xu, Y.; Tian, Z. Functional exhaustion of antiviral lymphocytes in COVID-19 patients. Cell. Mol. Immunol. 2020, 17, 533–535. [Google Scholar] [CrossRef] [PubMed]
- Giamarellos-Bourboulis, E.J.; Netea, M.G.; Rovina, N.; Akinosoglou, K.; Antoniadou, A.; Antonakos, N.; Damoraki, G.; Gkavogianni, T.; Adami, M.E.; Katsaounou, P.; et al. Complex Immune Dysregulation in COVID-19 Patients with Severe Respiratory Failure. Cell Host Microbe 2020. [Google Scholar] [CrossRef] [PubMed]
- Barnes, B.J.; Adrover, J.M.; Baxter-Stoltzfus, A.; Borczuk, A.; Cools-Lartigue, J.; Crawford, J.M.; Dassler-Plenker, J.; Guerci, P.; Huynh, C.; Knight, J.S.; et al. Targeting potential drivers of COVID-19: Neutrophil extracellular traps. J. Exp. Med. 2020, 217. [Google Scholar] [CrossRef] [PubMed]
- Zhang, B.; Zhou, X.; Qiu, Y.; Feng, F.; Feng, J.; Jia, Y.; Zhu, H.; Hu, K.; Liu, J.; Liu, Z.; et al. Clinical characteristics of 82 death cases with COVID-19. medRxiv 2020. [Google Scholar] [CrossRef]
- Chu, K.H.; Tsang, W.K.; Tang, C.S.; Lam, M.F.; Lai, F.M.; To, K.F.; Fung, K.S.; Tang, H.L.; Yan, W.W.; Chan, H.W.; et al. Acute renal impairment in coronavirus-associated severe acute respiratory syndrome. Kidney Int. 2005, 67, 698–705. [Google Scholar] [CrossRef]
- Kollias, A.; Kyriakoulis, K.G.; Dimakakos, E.; Poulakou, G.; Stergiou, G.S.; Syrigos, K. Thromboembolic risk and anticoagulant therapy in COVID-19 patients: Emerging evidence and call for action. Br. J. Haematol. 2020. [Google Scholar] [CrossRef]
- Chen, L.; Li, X.; Chen, M.; Feng, Y.; Xiong, C. The ACE2 expression in human heart indicates new potential mechanism of heart injury among patients infected with SARS-CoV-2. Cardiovasc. Res. 2020, 116, 1097–1100. [Google Scholar] [CrossRef]
- Magro, C.; Mulvey, J.J.; Berlin, D.; Nuovo, G.; Salvatore, S.; Harp, J.; Baxter-Stoltzfus, A.; Laurence, J. Complement associated microvascular injury and thrombosis in the pathogenesis of severe COVID-19 infection: A report of five cases. Transl. Res. 2020. [Google Scholar] [CrossRef]
- Castagnoli, R.; Votto, M.; Licari, A.; Brambilla, I.; Bruno, R.; Perlini, S.; Rovida, F.; Baldanti, F.; Marseglia, G.L. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in Children and Adolescents: A Systematic Review. JAMA Pediatr. 2020. [Google Scholar] [CrossRef]
- Chen, J.; Jiang, Q.; Xia, X.; Liu, K.; Yu, Z.; Tao, W.; Gong, W.; Han, J.J. Individual Variation of the SARS-CoV2 Receptor ACE2 Gene Expression and Regulation. Preprints 2020, 2020030191. [Google Scholar]
- Cai, G.; Bosse, Y.; Xiao, F.; Kheradmand, F.; Amos, C.I. Tobacco Smoking Increases the Lung Gene Expression of ACE2, the Receptor of SARS-CoV-2. Am. J. Respir. Crit. Care Med. 2020. [Google Scholar] [CrossRef] [PubMed]
- Mehra, M.R.; Desai, S.S.; Kuy, S.; Henry, T.D.; Patel, A.N. Cardiovascular Disease, Drug Therapy, and Mortality in Covid-19. N. Engl. J. Med. 2020. [Google Scholar] [CrossRef] [PubMed]
- Mancia, G.; Rea, F.; Ludergnani, M.; Apolone, G.; Corrao, G. Renin-Angiotensin-Aldosterone System Blockers and the Risk of Covid-19. N. Engl. J. Med. 2020. [Google Scholar] [CrossRef] [PubMed]
- Reynolds, H.R.; Adhikari, S.; Pulgarin, C.; Troxel, A.B.; Iturrate, E.; Johnson, S.B.; Hausvater, A.; Newman, J.D.; Berger, J.S.; Bangalore, S.; et al. Renin-Angiotensin-Aldosterone System Inhibitors and Risk of Covid-19. N. Engl. J. Med. 2020. [Google Scholar] [CrossRef]
- Chinn, I.K.; Blackburn, C.C.; Manley, N.R.; Sempowski, G.D. Changes in primary lymphoid organs with aging. Semin. Immunol. 2012, 24, 309–320. [Google Scholar] [CrossRef]
- Yager, E.J.; Ahmed, M.; Lanzer, K.; Randall, T.D.; Woodland, D.L.; Blackman, M.A. Age-associated decline in T cell repertoire diversity leads to holes in the repertoire and impaired immunity to influenza virus. J. Exp. Med. 2008, 205, 711–723. [Google Scholar] [CrossRef]
- Bermejo-Martin, J.F.; Martin-Loeches, I.; Rello, J.; Anton, A.; Almansa, R.; Xu, L.; Lopez-Campos, G.; Pumarola, T.; Ran, L.; Ramirez, P.; et al. Host adaptive immunity deficiency in severe pandemic influenza. Crit. Care 2010, 14, R167. [Google Scholar] [CrossRef]
- Thompson, H.L.; Smithey, M.J.; Surh, C.D.; Nikolich-Zugich, J. Functional and Homeostatic Impact of Age-Related Changes in Lymph Node Stroma. Front. Immunol. 2017, 8, 706. [Google Scholar] [CrossRef]
- Shakerian, L.; Pourpak, Z.; Shamlou, S.; Domsgen, E.; Kazemnejad, A.; Dalili, H.; Nourizadeh, M. Determining Laboratory Reference Values of TREC and KREC in Different Age Groups of Iranian Healthy Individuals. Iran. J. Allergy Asthma Immunol. 2019, 18, 143–152. [Google Scholar] [CrossRef]
- Carlock, M.A.; Ingram, J.G.; Clutter, E.F.; Cecil, N.C.; Ramgopal, M.; Zimmerman, R.K.; Warren, W.; Kleanthous, H.; Ross, T.M. Impact of age and pre-existing immunity on the induction of human antibody responses against influenza B viruses. Hum. Vaccines Immunother. 2019, 15, 2030–2043. [Google Scholar] [CrossRef]
- Gorse, G.J.; Donovan, M.M.; Patel, G.B. Antibodies to coronaviruses are higher in older compared with younger adults and binding antibodies are more sensitive than neutralizing antibodies in identifying coronavirus-associated illnesses. J. Med. Virol. 2020, 92, 512–517. [Google Scholar] [CrossRef] [PubMed]
- Lee, D.W.; Gardner, R.; Porter, D.L.; Louis, C.U.; Ahmed, N.; Jensen, M.; Grupp, S.A.; Mackall, C.L. Current concepts in the diagnosis and management of cytokine release syndrome. Blood 2014, 124, 188–195. [Google Scholar] [CrossRef] [PubMed]
- Wan, Y.; Shang, J.; Sun, S.; Tai, W.; Chen, J.; Geng, Q.; He, L.; Chen, Y.; Wu, J.; Shi, Z.; et al. Molecular Mechanism for Antibody-Dependent Enhancement of Coronavirus Entry. J. Virol. 2020, 94, 14. [Google Scholar] [CrossRef] [PubMed]
- Kam, Y.W.; Kien, F.; Roberts, A.; Cheung, Y.C.; Lamirande, E.W.; Vogel, L.; Chu, S.L.; Tse, J.; Guarner, J.; Zaki, S.R.; et al. Antibodies against trimeric S glycoprotein protect hamsters against SARS-CoV challenge despite their capacity to mediate FcgammaRII-dependent entry into B cells in vitro. Vaccine 2007, 25, 729–740. [Google Scholar] [CrossRef]
- Shaw, A.C.; Goldstein, D.R.; Montgomery, R.R. Age-dependent dysregulation of innate immunity. Nat. Rev. Immunol. 2013, 13, 875–887. [Google Scholar] [CrossRef]
- Qian, F.; Wang, X.; Zhang, L.; Lin, A.; Zhao, H.; Fikrig, E.; Montgomery, R.R. Impaired interferon signaling in dendritic cells from older donors infected in vitro with West Nile virus. J. Infect. Dis. 2011, 203, 1415–1424. [Google Scholar] [CrossRef]
- Legge, K.L.; Braciale, T.J. Lymph node dendritic cells control CD8+ T cell responses through regulated FasL expression. Immunity 2005, 23, 649–659. [Google Scholar] [CrossRef]
- Oh, S.; McCaffery, J.M.; Eichelberger, M.C. Dose-dependent changes in influenza virus-infected dendritic cells result in increased allogeneic T-cell proliferation at low, but not high, doses of virus. J. Virol. 2000, 74, 5460–5469. [Google Scholar] [CrossRef][Green Version]
- Gupta, M.; Jardeleza, M.S.; Kim, I.; Durand, M.L.; Kim, L.; Lobo, A.M. Varicella Zoster Virus Necrotizing Retinitis in Two Patients with Idiopathic CD4 Lymphocytopenia. Ocul. Immunol. Inflamm. 2016, 24, 544–548. [Google Scholar] [CrossRef]
- Steele, R.W.; Britton, H.A.; Anderson, C.T.; Kniker, W.T. Severe combined immunodeficiency with cartilage-hair hypoplasa: In vitro response to thymosin and attempted reconstitution. Pediatr. Res. 1976, 10, 1003–1005. [Google Scholar] [CrossRef]
- Blanco, J.L.; Ambrosioni, J.; Garcia, F.; Martinez, E.; Soriano, A.; Mallolas, J.; Miro, J.M. COVID-19 in patients with HIV: Clinical case series. Lancet HIV 2020. [Google Scholar] [CrossRef]
- Schulert, G.S.; Zhang, M.; Fall, N.; Husami, A.; Kissell, D.; Hanosh, A.; Zhang, K.; Davis, K.; Jentzen, J.M.; Napolitano, L.; et al. Whole-Exome Sequencing Reveals Mutations in Genes Linked to Hemophagocytic Lymphohistiocytosis and Macrophage Activation Syndrome in Fatal Cases of H1N1 Influenza. J. Infect. Dis. 2016, 213, 1180–1188. [Google Scholar] [CrossRef] [PubMed]
- Bracaglia, C.; Prencipe, G.; De Benedetti, F. Macrophage Activation Syndrome: Different mechanisms leading to a one clinical syndrome. Pediatr. Rheumatol. Online J. 2017, 15, 5. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, A.; David, J.K.; Maden, S.K.; Wood, M.A.; Weeder, B.R.; Nellore, A.; Thompson, R.F. Human leukocyte antigen susceptibility map for SARS-CoV-2. J. Virol. 2020. [Google Scholar] [CrossRef]
- Lin, M.; Tseng, H.K.; Trejaut, J.A.; Lee, H.L.; Loo, J.H.; Chu, C.C.; Chen, P.J.; Su, Y.W.; Lim, K.H.; Tsai, Z.U.; et al. Association of HLA class I with severe acute respiratory syndrome coronavirus infection. BMC Med. Genet. 2003, 4, 9. [Google Scholar] [CrossRef]
- Andersen, K.G.; Rambaut, A.; Lipkin, W.I.; Holmes, E.C.; Garry, R.F. The proximal origin of SARS-CoV-2. Nat. Med. 2020. [Google Scholar] [CrossRef]
- Leroy, E.M.; Kumulungui, B.; Pourrut, X.; Rouquet, P.; Hassanin, A.; Yaba, P.; Delicat, A.; Paweska, J.T.; Gonzalez, J.P.; Swanepoel, R. Fruit bats as reservoirs of Ebola virus. Nature 2005, 438, 575–576. [Google Scholar] [CrossRef]
- Clayton, B.A.; Wang, L.F.; Marsh, G.A. Henipaviruses: An updated review focusing on the pteropid reservoir and features of transmission. Zoonoses Public Health 2013, 60, 69–83. [Google Scholar] [CrossRef]
- Li, W.; Shi, Z.; Yu, M.; Ren, W.; Smith, C.; Epstein, J.H.; Wang, H.; Crameri, G.; Hu, Z.; Zhang, H.; et al. Bats are natural reservoirs of SARS-like coronaviruses. Science 2005, 310, 676–679. [Google Scholar] [CrossRef]
- Mohd, H.A.; Al-Tawfiq, J.A.; Memish, Z.A. Middle East Respiratory Syndrome Coronavirus (MERS-CoV) origin and animal reservoir. Virol. J. 2016, 13, 87. [Google Scholar] [CrossRef]
- Pavlovich, S.S.; Lovett, S.P.; Koroleva, G.; Guito, J.C.; Arnold, C.E.; Nagle, E.R.; Kulcsar, K.; Lee, A.; Thibaud-Nissen, F.; Hume, A.J.; et al. The Egyptian Rousette Genome Reveals Unexpected Features of Bat Antiviral Immunity. Cell 2018, 173, 1098–1110. [Google Scholar] [CrossRef] [PubMed]
- De La Cruz-Rivera, P.C.; Kanchwala, M.; Liang, H.; Kumar, A.; Wang, L.F.; Xing, C.; Schoggins, J.W. The IFN Response in Bats Displays Distinctive IFN-Stimulated Gene Expression Kinetics with Atypical RNASEL Induction. J. Immunol. 2018, 200, 209–217. [Google Scholar] [CrossRef] [PubMed]
- Banerjee, A.; Rapin, N.; Bollinger, T.; Misra, V. Lack of inflammatory gene expression in bats: A unique role for a transcription repressor. Sci. Rep. 2017, 7, 2232. [Google Scholar] [CrossRef] [PubMed]
- Ahn, M.; Anderson, D.E.; Zhang, Q.; Tan, C.W.; Lim, B.L.; Luko, K.; Wen, M.; Chia, W.N.; Mani, S.; Wang, L.C.; et al. Dampened NLRP3-mediated inflammation in bats and implications for a special viral reservoir host. Nat. Microbiol. 2019, 4, 789–799. [Google Scholar] [CrossRef]
- Ren, R.; Wu, S.; Cai, J.; Yang, Y.; Ren, X.; Feng, Y.; Chen, L.; Qin, B.; Xu, C.; Yang, H.; et al. The H7N9 influenza A virus infection results in lethal inflammation in the mammalian host via the NLRP3-caspase-1 inflammasome. Sci. Rep. 2017, 7, 7625. [Google Scholar] [CrossRef] [PubMed]
- Wang, W.; Li, G.; De, W.; Luo, Z.; Pan, P.; Tian, M.; Wang, Y.; Xiao, F.; Li, A.; Wu, K.; et al. Zika virus infection induces host inflammatory responses by facilitating NLRP3 inflammasome assembly and interleukin-1beta secretion. Nat. Commun. 2018, 9, 106. [Google Scholar] [CrossRef]
- Coates, B.M.; Staricha, K.L.; Ravindran, N.; Koch, C.M.; Cheng, Y.; Davis, J.M.; Shumaker, D.K.; Ridge, K.M. Inhibition of the NOD-Like Receptor Protein 3 Inflammasome Is Protective in Juvenile Influenza A Virus Infection. Front. Immunol. 2017, 8, 782. [Google Scholar] [CrossRef]
- Tate, M.D.; Ong, J.D.H.; Dowling, J.K.; McAuley, J.L.; Robertson, A.B.; Latz, E.; Drummond, G.R.; Cooper, M.A.; Hertzog, P.J.; Mansell, A. Reassessing the role of the NLRP3 inflammasome during pathogenic influenza A virus infection via temporal inhibition. Sci. Rep. 2016, 6, 27912. [Google Scholar] [CrossRef]
- Zou, L.; Ruan, F.; Huang, M.; Liang, L.; Huang, H.; Hong, Z.; Yu, J.; Kang, M.; Song, Y.; Xia, J.; et al. SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients. N. Engl. J. Med. 2020, 382, 1177–1179. [Google Scholar] [CrossRef]
- Peiris, J.S.; Chu, C.M.; Cheng, V.C.; Chan, K.S.; Hung, I.F.; Poon, L.L.; Law, K.I.; Tang, B.S.; Hon, T.Y.; Chan, C.S.; et al. Clinical progression and viral load in a community outbreak of coronavirus-associated SARS pneumonia: A prospective study. Lancet 2003, 361, 1767–1772. [Google Scholar] [CrossRef]
- Chu, C.M.; Cheng, V.C.; Hung, I.F.; Wong, M.M.; Chan, K.H.; Chan, K.S.; Kao, R.Y.; Poon, L.L.; Wong, C.L.; Guan, Y.; et al. Role of lopinavir/ritonavir in the treatment of SARS: Initial virological and clinical findings. Thorax 2004, 59, 252–256. [Google Scholar] [CrossRef] [PubMed]
- Cao, B.; Wang, Y.; Wen, D.; Liu, W.; Wang, J.; Fan, G.; Ruan, L.; Song, B.; Cai, Y.; Wei, M.; et al. A Trial of Lopinavir-Ritonavir in Adults Hospitalized with Severe Covid-19. N. Engl. J. Med. 2020, 382, 1787–1799. [Google Scholar] [CrossRef]
- Wang, M.; Cao, R.; Zhang, L.; Yang, X.; Liu, J.; Xu, M.; Shi, Z.; Hu, Z.; Zhong, W.; Xiao, G. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell Res. 2020, 30, 269–271. [Google Scholar] [CrossRef]
- Grein, J.; Ohmagari, N.; Shin, D.; Diaz, G.; Asperges, E.; Castagna, A.; Feldt, T.; Green, G.; Green, M.L.; Lescure, F.X.; et al. Compassionate Use of Remdesivir for Patients with Severe Covid-19. N. Engl. J. Med. 2020. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.; Zhang, D.; Du, G.; Du, R.; Zhao, J.; Jin, Y.; Fu, S.; Gao, L.; Cheng, Z.; Lu, Q.; et al. Remdesivir in adults with severe COVID-19: A randomised, double-blind, placebo-controlled, multicentre trial. Lancet 2020. [Google Scholar] [CrossRef]
- Cai, Q.; Yang, M.; Liu, D.; Chen, J.; Shu, D.; Xia, J.; Liao, X.; Gu, Y.; Cai, Q.; Yang, Y.; et al. Experimental Treatment with Favipiravir for COVID-19: An Open-Label Control Study. Engineering 2020. [Google Scholar] [CrossRef] [PubMed]
- Chen, C.; Huang, J.; Cheng, Z.; Wu, J.; Chen, S.; Zhang, Y.; Chen, B.; Lu, M.; Luo, Y.; Zhang, J.; et al. Favipiravir versus Arbidol for COVID-19: A Randomized Clinical Trial. medRxiv 2020. [Google Scholar] [CrossRef]
- Khalili, J.S.; Zhu, H.; Mak, A.; Yan, Y.; Zhu, Y. Novel coronavirus treatment with ribavirin: Groundwork for evaluation concerning COVID-19. J. Med. Virol. 2020. [Google Scholar] [CrossRef] [PubMed]
- Stockman, L.J.; Bellamy, R.; Garner, P. SARS: Systematic review of treatment effects. PLoS Med. 2006, 3, e343. [Google Scholar] [CrossRef] [PubMed]
- Liu, J.; Cao, R.; Xu, M.; Wang, X.; Zhang, H.; Hu, H.; Li, Y.; Hu, Z.; Wu, Z.; Wang, M. Hydroxychloroquine, a less toxic derivative of chloroquine, is effective in inhibiting SARS-CoV-2 infection in vitro. Cell Discov. 2020, 6. [Google Scholar] [CrossRef]
- Gautret, P.; Lagier, J.C.; Parola, P.; Hoang, V.T.; Meddeb, L.; Mailhe, M.; Doudier, B.; Courjon, J.; Giordanengo, V.; Vieira, V.E.; et al. Hydroxychloroquine and azithromycin as a treatment of COVID-19: Results of an open-label non-randomized clinical trial. Int. J. Antimicrob. Agents 2020. [Google Scholar] [CrossRef] [PubMed]
- Kim, A.H.J.; Sparks, J.A.; Liew, J.W.; Putman, M.S.; Berenbaum, F.; Duarte-Garcia, A.; Graef, E.R.; Korsten, P.; Sattui, S.E.; Sirotich, E.; et al. A Rush to Judgment? Rapid Reporting and Dissemination of Results and Its Consequences Regarding the Use of Hydroxychloroquine for COVID-19. Ann. Intern. Med. 2020. [Google Scholar] [CrossRef] [PubMed]
- Chen, Z.; Hu, J.; Zhang, Z.; Shan Jiang, S.; Han, S.; Yan, D.; Zhuang, R.; Hu, B.; Zhang, Z. Efficacy of hydroxychloroquine in patients with COVID-19: Results of a randomized clinical trial. medRxiv 2020. [Google Scholar] [CrossRef]
- Magagnoli, J.; Narendran, S.; Pereira, F.; Cummings, T.; Hardin, J.W.; Sutton, S.S.; Ambati, J. Outcomes of hydroxychloroquine usage in United States veterans hospitalized with Covid-19. medRxiv 2020. [Google Scholar] [CrossRef]
- Mahevas, M.; Tran, V.-T.; Roumier, M.; Chabrol, A.; Paule, R.; Guillaud, C.; Gallien, S.; Lepeule, R.; Szwebel, T.-A.; Lescure, X.; et al. No evidence of clinical efficacy of hydroxychloroquine in patients hospitalized for COVID-19 infection with oxygen requirement: Results of a study using routinely collected data to emulate a target trial. medRxiv 2020. [Google Scholar] [CrossRef]
- Wang, C.; Li, W.; Drabek, D.; Okba, N.M.A.; van Haperen, R.; Osterhaus, A.D.M.E.; van Kuppeveld, F.J.M.; Haagmans, B.L.; Grosveld, F.; Bosch, B.-J. A human monoclonal antibody blocking SARS-CoV-2 infection. Nat. Commun. 2020, 11, 2251. [Google Scholar] [CrossRef]
- Huang, C.; Wang, Y.; Li, X.; Ren, L.; Zhao, J.; Hu, Y.; Zhang, L.; Fan, G.; Xu, J.; Gu, X.; et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020, 395, 497–506. [Google Scholar] [CrossRef]
- Maude, S.L.; Laetsch, T.W.; Buechner, J.; Rives, S.; Boyer, M.; Bittencourt, H.; Bader, P.; Verneris, M.R.; Stefanski, H.E.; Myers, G.D.; et al. Tisagenlecleucel in Children and Young Adults with B-Cell 4Lymphoblastic Leukemia. N. Engl. J. Med. 2018, 378, 439–448. [Google Scholar] [CrossRef]
- Luo, P.; Liu, Y.; Qiu, L.; Liu, X.; Liu, D.; Li, J. Tocilizumab treatment in COVID-19: A single center experience. J. Med. Virol. 2020. [Google Scholar] [CrossRef]
- Di Giambenedetto, S.; Ciccullo, A.; Borghetti, A.; Gambassi, G.; Landi, F.; Visconti, E.; Zileri Dal Verme, L.; Bernabei, R.; Tamburrini, E.; Cauda, R.; et al. Off-label Use of Tocilizumab in Patients with SARS-CoV-2 Infection. J. Med. Virol. 2020. [Google Scholar] [CrossRef]
- Toniati, P.; Piva, S.; Cattalini, M.; Garrafa, E.; Regola, F.; Castelli, F.; Franceschini, F.; Focà, E.; Andreoli, L.; Latronico, N. Tocilizumab for the treatment of severe COVID-19 pneumonia with hyperinflammatory syndrome and acute respiratory failure: A single center study of 100 patients in Brescia, Italy. Autoimmun. Rev. 2020. [Google Scholar] [CrossRef] [PubMed]
- Gritti, G.; Raimondi, F.; Ripamonti, D.; Riva, I.; Landi, F.; Alborghetti, L.; Frigeni, M.; Damiani, M.; Micò, C.; Fagiuoli, S.; et al. Use of siltuximab in patients with COVID-19 pneumonia requiring ventilatory support. medRxiv 2020. [Google Scholar] [CrossRef]
- Cavalli, G.; De Luca, G.; Campochiaro, C.; Della-Torre, E.; Ripa, M.; Canetti, D.; Oltolini, C.; Castiglioni, B.; Tassan Din, C.; Boffini, N.; et al. Interleukin-1 blockade with high-dose anakinra in patients with COVID-19, acute respiratory distress syndrome, and hyperinflammation: A retrospective cohort study. Lancet Rheumatol. 2020. [Google Scholar] [CrossRef]
- Aouba, A.; Baldolli, A.; Geffray, L.; Verdon, R.; Bergot, E.; Martin-Silva, N.; Justet, A. Targeting the inflammatory cascade with anakinra in moderate to severe COVID-19 pneumonia: Case series. Ann. Rheum. Dis. 2020. [Google Scholar] [CrossRef] [PubMed]
- Pontali, E.; Volpi, S.; Antonucci, G.; Castellaneta, M.; Buzzi, D.; Tricerri, F.; Angelelli, A.; Caorsi, R.; Feasi, M.; Calautti, F.; et al. Safety and efficacy of early high-dose IV anakinra in severe COVID-19 lung disease. J. Allergy Clin. Immunol. 2020. [Google Scholar] [CrossRef]
- Henderson, L.A.; Canna, S.W.; Schulert, G.S.; Volpi, S.; Lee, P.Y.; Kernan, K.F.; Caricchio, R.; Mahmud, S.; Hazen, M.M.; Halyabar, O.; et al. On the alert for cytokine storm: Immunopathology in COVID-19. Arthritis Rheumatol. 2020. [Google Scholar] [CrossRef]
- Feldmann, M.; Maini, R.N.; Woody, J.N.; Holgate, S.T.; Winter, G.; Rowland, M.; Richards, D.; Hussell, T. Trials of anti-tumour necrosis factor therapy for COVID-19 are urgently needed. Lancet 2020, 395, 1407–1409. [Google Scholar] [CrossRef]
- Charles, P.; Elliott, M.J.; Davis, D.; Potter, A.; Kalden, J.R.; Antoni, C.; Breedveld, F.C.; Smolen, J.S.; Eberl, G.; deWoody, K.; et al. Regulation of cytokines, cytokine inhibitors, and acute-phase proteins following anti-TNF-alpha therapy in rheumatoid arthritis. J. Immunol. 1999, 163, 1521–1528. [Google Scholar]
- Hussell, T.; Pennycook, A.; Openshaw, P.J. Inhibition of tumor necrosis factor reduces the severity of virus-specific lung immunopathology. Eur. J. Immunol. 2001, 31, 2566–2573. [Google Scholar] [CrossRef]
- McDermott, J.E.; Mitchell, H.D.; Gralinski, L.E.; Eisfeld, A.J.; Josset, L.; Bankhead, A.; Neumann, G.; Tilton, S.C.; Schafer, A.; Li, C.; et al. The effect of inhibition of PP1 and TNFalpha signaling on pathogenesis of SARS coronavirus. BMC Syst. Biol. 2016, 10, 93. [Google Scholar] [CrossRef]
- Hung, I.F.; To, K.K.; Lee, C.K.; Lee, K.L.; Chan, K.; Yan, W.W.; Liu, R.; Watt, C.L.; Chan, W.M.; Lai, K.Y.; et al. Convalescent plasma treatment reduced mortality in patients with severe pandemic influenza A (H1N1) 2009 virus infection. Clin. Infect. Dis. 2011, 52, 447–456. [Google Scholar] [CrossRef] [PubMed]
- Mair-Jenkins, J.; Saavedra-Campos, M.; Baillie, J.K.; Cleary, P.; Khaw, F.M.; Lim, W.S.; Makki, S.; Rooney, K.D.; Nguyen-Van-Tam, J.S.; Beck, C.R.; et al. The effectiveness of convalescent plasma and hyperimmune immunoglobulin for the treatment of severe acute respiratory infections of viral etiology: A systematic review and exploratory meta-analysis. J. Infect. Dis. 2015, 211, 80–90. [Google Scholar] [CrossRef] [PubMed]
- Chen, L.; Xiong, J.; Bao, L.; Shi, Y. Convalescent plasma as a potential therapy for COVID-19. Lancet Infect. Dis. 2020, 20, 398–400. [Google Scholar] [CrossRef]
- Shen, C.; Wang, Z.; Zhao, F.; Yang, Y.; Li, J.; Yuan, J.; Wang, F.; Li, D.; Yang, M.; Xing, L.; et al. Treatment of 5 Critically Ill Patients With COVID-19 With Convalescent Plasma. JAMA 2020. [Google Scholar] [CrossRef]
- Duan, K.; Liu, B.; Li, C.; Zhang, H.; Yu, T.; Qu, J.; Zhou, M.; Chen, L.; Meng, S.; Hu, Y.; et al. Effectiveness of convalescent plasma therapy in severe COVID-19 patients. Proc. Natl. Acad. Sci. USA 2020. [Google Scholar] [CrossRef]
- Wu, J.; Liu, J.; Zhao, X.; Liu, C.; Wang, W.; Wang, D.; Xu, W.; Zhang, C.; Yu, J.; Jiang, B.; et al. Clinical Characteristics of Imported Cases of COVID-19 in Jiangsu Province: A Multicenter Descriptive Study. Clin. Infect. Dis. 2020. [Google Scholar] [CrossRef]
- Minoia, F.; Davi, S.; Horne, A.; Bovis, F.; Demirkaya, E.; Akikusa, J.; Ayaz, N.A.; Al-Mayouf, S.M.; Barone, P.; Bica, B.; et al. Dissecting the heterogeneity of macrophage activation syndrome complicating systemic juvenile idiopathic arthritis. J. Rheumatol. 2015, 42, 994–1001. [Google Scholar] [CrossRef]
- Sedaghat, Z.; Karimi, N. Guillain Barre syndrome associated with COVID-19 infection: A case report. J. Clin. Neurosci. 2020. [Google Scholar] [CrossRef]
- Arabi, Y.M.; Shalhoub, S.; Mandourah, Y.; Al-Hameed, F.; Al-Omari, A.; Al Qasim, E.; Jose, J.; Alraddadi, B.; Almotairi, A.; Al Khatib, K.; et al. Ribavirin and Interferon Therapy for Critically Ill Patients with Middle East Respiratory Syndrome: A Multicenter Observational Study. Clin. Infect. Dis. 2020, 70, 1837–1844. [Google Scholar] [CrossRef]
- Richardson, P.; Griffin, I.; Tucker, C.; Smith, D.; Oechsle, O.; Phelan, A.; Stebbing, J. Baricitinib as potential treatment for 2019-nCoV acute respiratory disease. Lancet 2020, 395, e30–e31. [Google Scholar] [CrossRef]
- Cantini, F.; Niccoli, L.; Matarrese, D.; Nicastri, E.; Stobbione, P.; Goletti, D. Baricitinib therapy in COVID-19: A pilot study on safety and clinical impact. J. Infect. 2020. [Google Scholar] [CrossRef] [PubMed]
- Arabi, Y.M.; Mandourah, Y.; Al-Hameed, F.; Sindi, A.A.; Almekhlafi, G.A.; Hussein, M.A.; Jose, J.; Pinto, R.; Al-Omari, A.; Kharaba, A.; et al. Corticosteroid Therapy for Critically Ill Patients with Middle East Respiratory Syndrome. Am. J. Respir. Crit. Care Med. 2018, 197, 757–767. [Google Scholar] [CrossRef] [PubMed]
- Ho, J.C.; Ooi, G.C.; Mok, T.Y.; Chan, J.W.; Hung, I.; Lam, B.; Wong, P.C.; Li, P.C.; Ho, P.L.; Lam, W.K.; et al. High-dose pulse versus nonpulse corticosteroid regimens in severe acute respiratory syndrome. Am. J. Respir. Crit. Care Med. 2003, 168, 1449–1456. [Google Scholar] [CrossRef] [PubMed]
- So, L.K.; Lau, A.C.; Yam, L.Y.; Cheung, T.M.; Poon, E.; Yung, R.W.; Yuen, K.Y. Development of a standard treatment protocol for severe acute respiratory syndrome. Lancet 2003, 361, 1615–1617. [Google Scholar] [CrossRef]
- Sung, J.J.; Wu, A.; Joynt, G.M.; Yuen, K.Y.; Lee, N.; Chan, P.K.; Cockram, C.S.; Ahuja, A.T.; Yu, L.M.; Wong, V.W.; et al. Severe acute respiratory syndrome: Report of treatment and outcome after a major outbreak. Thorax 2004, 59, 414–420. [Google Scholar] [CrossRef]
- Rodrigo, C.; Leonardi-Bee, J.; Nguyen-Van-Tam, J.; Lim, W.S. Corticosteroids as adjunctive therapy in the treatment of influenza. Cochrane Database Syst. Rev. 2016, 3. [Google Scholar] [CrossRef]
- Wu, C.; Chen, X.; Cai, Y.; Xia, J.; Zhou, X.; Xu, S.; Huang, H.; Zhang, L.; Zhou, X.; Du, C.; et al. Risk Factors Associated with Acute Respiratory Distress Syndrome and Death in Patients with Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern. Med. 2020. [Google Scholar] [CrossRef]
- NIH Covid-19 Treatment Guidelines. Available online: https://www.covid19treatmentguidelines.nih.gov (accessed on 5 May 2020).
- Abbadi, A.; Loftis, J.; Wang, A.; Yu, M.; Wang, Y.; Shakya, S.; Li, X.; Maytin, E.; Hascall, V. Heparin inhibits proinflammatory and promotes anti-inflammatory macrophage polarization under hyperglycemic stress. J. Biol. Chem. 2020, 295, 4849–4857. [Google Scholar] [CrossRef]
- Chen, D.; Xu, W.; Lei, Z.; Huang, Z.; Liu, J.; Gao, Z.; Peng, L. Recurrence of positive SARS-CoV-2 RNA in COVID-19: A case report. Int. J. Infect. Dis. 2020, 93, 297–299. [Google Scholar] [CrossRef]
- Wu, Y.; Guo, C.; Tang, L.; Hong, Z.; Zhou, J.; Dong, X.; Yin, H.; Xiao, Q.; Tang, Y.; Qu, X.; et al. Prolonged presence of SARS-CoV-2 viral RNA in faecal samples. Lancet Gastroenterol. Hepatol. 2020. [Google Scholar] [CrossRef]
- Mo, H.; Zeng, G.; Ren, X.; Li, H.; Ke, C.; Tan, Y.; Cai, C.; Lai, K.; Chen, R.; Chan-Yeung, M.; et al. Longitudinal profile of antibodies against SARS-coronavirus in SARS patients and their clinical significance. Respirology 2006, 11, 49–53. [Google Scholar] [CrossRef] [PubMed]
- Liu, W.; Fontanet, A.; Zhang, P.H.; Zhan, L.; Xin, Z.T.; Baril, L.; Tang, F.; Lv, H.; Cao, W.C. Two-year prospective study of the humoral immune response of patients with severe acute respiratory syndrome. J. Infect. Dis. 2006, 193, 792–795. [Google Scholar] [CrossRef] [PubMed]
- Payne, D.C.; Iblan, I.; Rha, B.; Alqasrawi, S.; Haddadin, A.; Al Nsour, M.; Alsanouri, T.; Ali, S.S.; Harcourt, J.; Miao, C.; et al. Persistence of Antibodies against Middle East Respiratory Syndrome Coronavirus. Emerg. Infect. Dis. 2016, 22, 1824–1826. [Google Scholar] [CrossRef]
- Channappanavar, R.; Zhao, J.; Perlman, S. T cell-mediated immune response to respiratory coronaviruses. Immunol. Res. 2014, 59, 118–128. [Google Scholar] [CrossRef] [PubMed]
- Tang, F.; Quan, Y.; Xin, Z.T.; Wrammert, J.; Ma, M.J.; Lv, H.; Wang, T.B.; Yang, H.; Richardus, J.H.; Liu, W.; et al. Lack of peripheral memory B cell responses in recovered patients with severe acute respiratory syndrome: A six-year follow-up study. J. Immunol. 2011, 186, 7264–7268. [Google Scholar] [CrossRef]
- Xiang, F.; Wang, X.; He, X.; Peng, Z.; Yang, B.; Zhang, J.; Zhou, Q.; Ye, H.; Ma, Y.; Li, H.; et al. Antibody Detection and Dynamic Characteristics in Patients with COVID-19. Clin. Infect. Dis. 2020. [Google Scholar] [CrossRef]
- Liu, W.J.; Zhao, M.; Liu, K.; Xu, K.; Wong, G.; Tan, W.; Gao, G.F. T-cell immunity of SARS-CoV: Implications for vaccine development against MERS-CoV. Antivir. Res. 2017, 137, 82–92. [Google Scholar] [CrossRef]
- Chen, H.; Hou, J.; Jiang, X.; Ma, S.; Meng, M.; Wang, B.; Zhang, M.; Zhang, M.; Tang, X.; Zhang, F.; et al. Response of memory CD8+ T cells to severe acute respiratory syndrome (SARS) coronavirus in recovered SARS patients and healthy individuals. J. Immunol. 2005, 175, 591–598. [Google Scholar] [CrossRef]
- Fan, Y.Y.; Huang, Z.T.; Li, L.; Wu, M.H.; Yu, T.; Koup, R.A.; Bailer, R.T.; Wu, C.Y. Characterization of SARS-CoV-specific memory T cells from recovered individuals 4 years after infection. Arch. Virol. 2009, 154, 1093–1099. [Google Scholar] [CrossRef]
- Peng, H.; Yang, L.T.; Wang, L.Y.; Li, J.; Huang, J.; Lu, Z.Q.; Koup, R.A.; Bailer, R.T.; Wu, C.Y. Long-lived memory T lymphocyte responses against SARS coronavirus nucleocapsid protein in SARS-recovered patients. Virology 2006, 351, 466–475. [Google Scholar] [CrossRef]
- Yang, L.T.; Peng, H.; Zhu, Z.L.; Li, G.; Huang, Z.T.; Zhao, Z.X.; Koup, R.A.; Bailer, R.T.; Wu, C.Y. Long-lived effector/central memory T-cell responses to severe acute respiratory syndrome coronavirus (SARS-CoV) S antigen in recovered SARS patients. Clin. Immunol. 2006, 120, 171–178. [Google Scholar] [CrossRef] [PubMed]
- Yang, L.; Peng, H.; Zhu, Z.; Li, G.; Huang, Z.; Zhao, Z.; Koup, R.A.; Bailer, R.T.; Wu, C. Persistent memory CD4+ and CD8+ T-cell responses in recovered severe acute respiratory syndrome (SARS) patients to SARS coronavirus M antigen. J. Gen. Virol. 2007, 88, 2740–2748. [Google Scholar] [CrossRef] [PubMed]
- Schenkel, J.M.; Fraser, K.A.; Vezys, V.; Masopust, D. Sensing and alarm function of resident memory CD8(+) T cells. Nat. Immunol. 2013, 14, 509–513. [Google Scholar] [CrossRef] [PubMed]
- Sasson, S.C.; Gordon, C.L.; Christo, S.N.; Klenerman, P.; Mackay, L.K. Local heroes or villains: Tissue-resident memory T cells in human health and disease. Cell Mol. Immunol. 2020, 17, 113–122. [Google Scholar] [CrossRef] [PubMed]
- Zhao, J.; Zhao, J.; Perlman, S. T cell responses are required for protection from clinical disease and for virus clearance in severe acute respiratory syndrome coronavirus-infected mice. J. Virol. 2010, 84, 9318–9325. [Google Scholar] [CrossRef]
- Channappanavar, R.; Fett, C.; Zhao, J.; Meyerholz, D.K.; Perlman, S. Virus-specific memory CD8 T cells provide substantial protection from lethal severe acute respiratory syndrome coronavirus infection. J. Virol. 2014, 88, 11034–11044. [Google Scholar] [CrossRef]
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).



