| Literature DB >> 32922406 |
Yun-Yu Zhang1, Bi-Ru Li1, Bo-Tao Ning1.
Abstract
Immune dysfunction and aberrant cytokine storms often lead to rapid exacerbation of the disease during late infection stages in SARS-CoV and MERS-CoV patients. However, the underlying immunopathology mechanisms are not fully understood, and there has been little progress in research regarding the development of vaccines, anti-viral drugs, and immunotherapy. The newly discovered SARS-CoV-2 (2019-nCoV) is responsible for the third coronavirus pandemic in the human population, and this virus exhibits enhanced pathogenicity and transmissibility. SARS-CoV-2 is highly genetically homologous to SARS-CoV, and infection may result in a similar clinical disease (COVID-19). In this review, we provide detailed knowledge of the pathogenesis and immunological characteristics of SARS and MERS, and we present recent findings regarding the clinical features and potential immunopathogenesis of COVID-19. Host immunological characteristics of these three infections are summarised and compared. We aim to provide insights and scientific evidence regarding the pathogenesis of COVID-19 and therapeutic strategies targeting this disease.Entities:
Keywords: MERS-CoV; SARS-CoV; SARS-CoV-2; immunology; novel coronavirus
Mesh:
Year: 2020 PMID: 32922406 PMCID: PMC7457039 DOI: 10.3389/fimmu.2020.02033
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Epidemiology, virology, demography, and clinical characteristics of SARS-CoV, MERS-CoV, and SARS-CoV-2.
| Number of countries affected ( | 29 | 27 | 216 |
| Confirmed cases ( | 8,096 | 2,494 | >10 million |
| Basic reproduction number | 0.3–4.1 | <1 | 2.2–2.6 |
| Mean Incubation period (range) | 4.6 (2–14) | 5.2 (2–13) | 5.1 (2.2–14) |
| Severe cases ratio (%) | 34% | 63.4% | 15.7% |
| Crude case fatality rate (%) | 9.6% | 40% | 1.4-6.9% |
| Case fatality rate in patients with comorbidities (%) | 46% | 60% | 11% |
| Proposed intermediate host | Palm civets | Camels | Malayan pangolins |
| Cellular entry receptor | ACE2 | DPP4 | ACE2 |
| Sequence identity to SARS-CoV-2 | 79.5% | 50% | / |
| Potential viral-host mechanism | Interferon antagonism, abortive infection (macrophage, dendritic cell, lymphocyte), T cell functional exhaustion, IMM infiltration | Interferon antagonism (repressive histone modification), antibody dependent enhancement (ADE), MHC gene down-regulation, T cell functional exhaustion | Interferon antagonism, abortive infection, antibody dependent enhancement (ADE), altered monocyte signature profile, macrophage polarisation? T cell functional exhaustion? |
| Median age of patients (range) | 39.9 (1–91) | 47 (1–94) | 56(<0–>80) |
| Sex ratio (male:female) | 43%:57% | 64.5%:34.5% | 58.1%:41.9% |
| Typical clinical presentation | Acute pneumonia in the elderly and patients with comorbidities; flu-like symptoms or asymptomatic infection in immunocompetent patients | Progressive acute lethal pneumonia in all infected patients | Acute pneumonia in the elderly and patients with comorbidities; flu-like symptoms, asymptomatic infection in immunocompetent patients and children |
| Extra pulmonary injuries/symptoms | Diarrhoea | Acute renal failure, diarrhoea | Headache, nausea, vomiting, diarrhoea |
| Comorbidities ratio | 10–30% | 76% | 48% |
| Medium days of peak viral load | Day 10 after symptom onset | ≥Day14 after symptom onset | At symptom onset |
| Onset time of neutralising antibodies | >Day14 | >Day12 | >Day 10 |
| Median days from onset of symptoms to hospital admission | 2 days | 4 days | 4 days |
| Median days from onset of symptoms to ICU admission (developed ARDS) | 6.5 days | 5 days | 10 days |
| Median days from onset of symptoms to death | 23.7 days | 11.5 days | 18.5 days |
| Risk factors related to disease progression or mortality | Age, comorbidities (diabetes, HBV infection), LDH level, high neutrophils, low CD4 and CD8 lymphocytes counts | Age, male, comorbidities (diabetes, chronic renal disease), immunocompromised state | Age, comorbidities (COPD, heart disease), elevated d-dimers, inflammatory indicators, increased neutrophil/lymphocytes ratio |
Cytokines and chemokines changes in SARS, MERS, and COVID-19 infection during different phases of disease course.
| SARS ( | 20 non-severe SARS patients had their serum cytokines consecutively measured for 19 days | MCP-1, IL-8, IP-10 | IL-6, IL-1β, IL-12, IFN- γ | TNF-α, IL-10, IL-2, IL-4 | Th-1 related cytokines were significantly increased and induced a hyperinnate inflammatory response. IP-10 was chemoattractant of monocytes, T cells, and NK cells, responsible for inflammatory cell infiltration | ( |
| SARS ( | 88 hospitalised SARS patients had their serum cytokines dynamically measured in the first 20 days of infection | MCP-1, MIG, IL-8, IP-10 | IL-6, IFN- γ, IL-18, TGF- β | TNF-α, IL-10, IL-2, IL-4, IL-13 | IFN-γ-related inflammatory cytokines were already elevated at early infection | ( |
| SARS ( | Serum obtained from 98 acute SARS patients within 2 days of hospital admission | IL-8 | IFN-γ, IL-6, IL-10, IL-12 | / | Cytokines were mainly produced by monocytes and NK cells | ( |
| SARS ( | Human mononuclear cells isolated and cultured to induce dendritic cells, later infected with SARS-CoV and cytokines were quantified by real time RT-PCR at 3 and 9 h after infection | MIP-1α,RANTES, IP-10, MCP-1 | TNF-α, IL-6 | IFN-α, IFN-β, IFN- γ, IL-12 | Moderate upregulation of cytokines (TNF-α, IL-6) and significant upregulation of chemokines was observed, which might be responsible for migration of inflammatory cells and facilitate viral spread. While low expression of anti-viral cytokines (interferons) might involve mechanisms of immune evasion | ( |
| MERS ( | Serum from 7 mild MERS patients were obtained within 2 days of hospital admission and was compared with healthy controls | / | IFN-α2, IFN-γ, TNF-α, IL-15, IL-17, IL-10 | IL-2, IL-4, IL-5, IL-13, TGF-α | A prominent pro-inflammatory Th1 and Th17 response was observed. IL-17 could recruit monocytes and neutrophils to sites of infection and enhance production of Th17-related cytokines. Induction of IFN-γ and IFN-α2 could promote antigen presenting and antiviral Th1 response. Elevated IL-10 might play a role in host immune regulation. No elevation in IL-12 and Th-2 cytokines was observed | ( |
| MERS ( | Polarised airway epithelial Calu-3 cells were infected with MERS-CoV and SARS-CoV and cytokines were quantified within 30 h of infection | IL-8 | IL-1β, IL-6 | TNF-α, IFN-β, IP-10 | In comparison to SARS, pro-inflammatory cytokines were markedly elevated in a delayed manner, while no significant induction of anti-viral cytokines were observed. This suggests a delayed pro-inflammatory and attenuated anti-viral response in MERS infection | ( |
| MERS ( | Monocyte-derived macrophages were inoculated with MERS-CoV, supernatants and cell lysates were harvested at several time points post-infection for cytokine measurement | IP-10, MCP-1, MIP-1α, IL-8, RANTES | TNF-α, IL-6, IL-12, IFN- γ | / | Chemokines and cytokines were induced in a delayed manner, however, presented at a higher magnitude (IL-12, IFN- γ and chemokines) and prolonged intervals than SARS | ( |
| COVID-19 ( | 40 patients (13 severe and 27 mild) had their serum cytokines and lymphocytes subsets dynamically measured in the first 16 days of infection | / | IL-4, IL-10, IL-2, IFN-γ, TNF-α | / | T cells are essential in attenuating overactive innate immune responses. Kinetic changes of T cell counts are negatively correlated to that of cytokines. This significant decrease in T cells might result in aggravated inflammatory response in COVID-19 | ( |
| COVID-19 ( | 41 patients (13 ICU and 28 non-ICU) | IP-10, MCP-1, MIP-1α, GSCF | IL-2, IL-7, IL-10, TNF-a, IFN-γ, IL-1β | / | ICU patients had higher levels of cytokines. IL-1β, IFN- γ, MCP-1, and IP-10 could lead to activated Th1 responses. Both Th1 and Th2 cytokines were observable in COVID-19 patients | ( |
| SARS ( | Serum obtained from 98 acute SARS patients within 2 days of hospital admission, in which 11 patients died | / | IL-4, IL-5, IL-10 | / | Significant increase of Th-2 cytokines was observed in fatal cases. Imbalance of Th1/Th2 cytokines was also observed from elderly patients with influenza infection, suggesting this might be a key influence in the outcome of the elderly | ( |
| SARS ( | Serum were obtained from 3 groups of SARS patients graded as mild ( | / | IL-6 | TGF- β, IL-8, TNF- α, IL-1 α | Decrease in IL-8 and TGF- β may be consistent with T lymphocytes depletion in severe patients. While decrease of T lymphocyte is associated with severity of SARS. Levels of TNF- α and IL-1 did not differ between SARS and control, this was inconsistent with results in influenza infection and suggested the need for cytokine detection in bronchoalveolar lavage fluid | ( |
| MERS ( | Serum obtained from 2 distinct outcome MERS patients dynamically | IP-10 | IL-10, IL-17 | IL-12, IFN-γ | High levels of IP-10 were associated with persistent viral replication. Lack of IFN- γ and IL-12 lead to ineffective in developing Th-1 response. Elevation of IL-10 further suppress IFN- γ production and was associated with poor outcome. High levels of IL-17 were also observed in fatal patient | ( |
| COVID-19 ( | 53 patients (34 severe and 19 mild) had their blood plasma collected at the earliest time-point after hospitalisation and serum cytokines were measured | IP-10, MCP-3 | IL-1ra | / | IP-10, MCP-3, and IL-1ra were independent predictors for COVID-19 progression. Combination of the 3 cytokines showed biggest AUC of the ROC calculation, associated with disease deterioration and fatal outcome | ( |
| COVID-19 ( | 548 patients (269 severe and 279 non-severe) had their serum cytokines measured at admission | / | IL-2R, IL-6, IL-10, TNF- α | / | Th-1 cytokines (IL-6, TNF- α) were significantly elevated in severe cases, similar to results observed in SARS infection | ( |
| SARS ( | Serum obtained from 88 SARS patients during convalescent phase (30 days or later post disease onset) was compared with serum from their acute phase | / | / | IFN- γ, IL-18, TGF- β, IL-6, IP-10, MCP-1, MIG, IL-8 | All of the elevated cytokines in the acute phase were normalised returned to basal level, in which statically significant decrease of IFN- γ and IL-6 were observed | ( |
| SARS ( | Serum were obtained from 3 groups of SARS patients graded as mild ( | / | IL-10 | IL-4, INF-γ | Levels of Th2 cytokines were altered compared to normal controls. IL-10 was known to inhibit TNF- α production and neutrophil activation. Thus, increased IL-10 may reflect some protective mechanisms | ( |
| MERS ( | Serum obtained from 27 MERS patients during convalescent phase (period immediately after the negative conversion of real-time RT-PCR) was compared with serum from their acute phase | / | RANTES | IL-6, IL-1RA, IP-10, MCP-1 | Levels of cytokines was proportionally related to disease severity. Elevated cytokines (IL-6, IL-1RA, IP-10, MCP-1) observed in acute phase declined to basal level at convalescent phase. Elevation of RANTES in convalescent phase might be associated with activated virus-reactive T lymphocytes | ( |
| COVID-19 ( | Dynamics of peripheral immune cells, cytokines, and HLA-G and its receptor expression in a COVID-19 patient at convalescent stage | / | IL-4, TNF-α | IL-6, IL-10, IFN-γ | Dynamic HLA expression and cytokine expression from SARS-CoV-2-positive to SARS-CoV-2-negative status indicated that regulation of HLA-G expression is involved in SARS-CoV-2 infection, which might impair CD8+ CTL mediated recognition and support immune evasion | ( |
Figure 1Potential immunopathogenesis in SARS-CoV-2 infection. This figure shows the potential immunopathogenesis during SARS-CoV-2 infection, inferred from previous SARS-CoV and MERS-CoV studies. Coloured boxes labelled the potential strategies or deleterious events involved in SARS-CoV-2 pathogenesis. Words below each box indicate the pathological consequences. Dashed arrows indicate causal relations between target cell and cell mediators. (A) Initially host-viral entry was found at alveoli epithelial. The virus invades host defences via binding with ACE2 by S-protein RBD. Abortive infection was observed in PBMC and haematopoietic cells—a process that induces expression of pro-inflammatory mediators rather than effective viral production. Another potential viral entry strategy relies on the presence of specific antibodies that form bridges between viral-host and facilitate viral entry rather than expressing ADCC effect. SARS-CoV-2 might have evolved to encode specific proteins to counteract the host anti-viral response and optimise viral entry. Strategies such as interferon antagonism (not shown on the figure) allow viral evasion and prolonged viral shedding. (B) Regarding the host immune response, increased viral loads, and chemokines from abortive infection further enhance infiltration of IMM, an intense release of inflammatory cytokines that results in lung tissue injuries. Delayed viral clearance, aberrant cytokine production, and altered interferon levels hinder the proper functioning of the immune system, such as shifting of functional phenotype in macrophages and lymphocytes which would result in the impaired wound-healing function T cell apoptosis, pathogenic T cell response, functional exhaustion, dysregulated cytokine storm (i.e., MAS/HLH) and impaired viral clearance. Cascades activation of cytokine and chemokine ultimately led to systemic cytokine storm, manifested as sepsis, DIC, haemorrhage, and shock. RBD, receptor binding-domain; ADCC, antibody-dependent cell-mediated cytotoxicity; ACE2, Angiotensin-converting enzyme 2; pDC, Plasmacytoid dendritic cell; IMM, Inflammatory monocyte/macrophage; MAS, macrophage activation syndrome; HLH, Hemophagocytic lymphohistiocytosis; DIC, Disseminated intravascular coagulation.