| Literature DB >> 35601440 |
Manpreet Dhaliwal1, Rahul Tyagi1, Pooja Malhotra1, Prabal Barman1, Sathish Kumar Loganathan1, Jyoti Sharma1, Kaushal Sharma1, Sanjib Mondal1, Amit Rawat1, Surjit Singh1.
Abstract
Coronaviruses have led to three major outbreaks to date-Severe Acute Respiratory Syndrome (SARS; 2002), Middle East Respiratory Syndrome (MERS; 2012) and the ongoing pandemic, Coronavirus Disease (COVID-19; 2019). Coronavirus infections are usually mild in children. However, a few children with MERS had presented with a severe phenotype in the acute phase resulting in progressive pneumonic changes with increasing oxygen dependency and acute respiratory distress requiring ventilatory support. A subset of children with a history of SARS-CoV-2 infection develops a multisystem hyper-inflammatory phenotype known as Multisystem Inflammatory Syndrome in Children (MIS-C). This syndrome occurs 4-6 weeks after infection with SARS-CoV-2 and has been reported more often from areas with high community transmission. Children with MIS-C present with high fever and often have involvement of cardiovascular, gastrointestinal and hematologic systems leading to multiorgan failure. This is accompanied by elevation of pro-inflammatory cytokines such as IL-6 and IL-10. MIS-C has several similarities with Kawasaki disease (KD) considering children with both conditions present with fever, rash, conjunctival injection, mucosal symptoms and swelling of hands and feet. For reasons that are still not clear, both KD and MIS-C were not reported during the SARS-CoV and MERS-CoV outbreaks. As SARS-CoV-2 differs from SARS-CoV by 19.5% and MERS by 50% in terms of sequence identity, differences in genomic and proteomic profiles may explain the varied disease immunopathology and host responses. Left untreated, MIS-C may lead to severe abdominal pain, ventricular dysfunction and shock. Immunological investigations reveal reduced numbers of follicular B cells, increased numbers of terminally differentiated CD4+T lymphocytes, and decreased IL-17A. There is still ambiguity about the clinical and immunologic risk factors that predispose some children to development of MIS-C while sparing others. Host-pathogen interactions in SARS, MERS and COVID-19 are likely to play a crucial role in the clinical phenotypes that manifest. This narrative review focuses on the immunological basis for development of MIS-C syndrome in the ongoing SARS-CoV-2 pandemic. To the best of our knowledge, these aspects have not been reviewed before.Entities:
Keywords: COVID-19; Kawasaki disease; MERS-CoV; MIS-C; SARS-CoV; SARS-CoV-2; immune dysregulation
Year: 2022 PMID: 35601440 PMCID: PMC9119432 DOI: 10.3389/fped.2022.790273
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.569
FIGURE 1The α-coronaviruses are HCoV-229E, HCoV-NL63; β-coronaviruses are HCoV-HKU1, HCoV-OC43, SARS-CoV, MERS-CoV and SARS-CoV-2; and the γ and δ-coronaviruses comprise species that are non-pathogenic to humans. Created with BioRender.com.
Clinical characteristics and epidemiology of SARS, MERS and COVID-19.
| Details | SARS | MERS | COVID-19 |
| Year first reported; Country | November, 2002; Foshan, Guangzhou, China | June, 2012; Jeddah, Saudi Arabia | December 2019; Wuhan, China |
| Total number of cases | 8,096 with 774 deaths | 2,574 with 886 deaths | Ongoing, ∼ 234 million infected with 4.8 million deaths |
| Total number of pediatric cases | 135 | 42 | ∼ 8.5% of cases are children |
| Total pediatric deaths | None | 3 | Globally 3,788 deaths till January, 2021 ( |
| Mortality rate | 9.5% | 34.4% | ∼ 2.5% |
| Putative reservoir of infection | Asian civet cat ( | Adult dromedary camels ( | ?Bat; pangolins; snakes |
| Mode of Transmission | Human to human—High; direct contact and Indirect contact (droplets or fomites, aerosol transmission and rarely faeco-oral transmission) | Human to human—Low; direct contact with infected camels; close contact with patients | Human to human—High; droplet infection; fomites; aerosols; close contact with patients |
| Putative Host receptor for viral entry | ACE2 | DPP4 | ACE2 |
| Treatment | Mainly supportive treatment; ribavirin, steroids were used anecdotally | Mainly supportive treatment | Mainly supportive treatment Following drugs have been tried with variable efficacy: remdesivir, corticosteroids, hydroxychloroquine, lopinavir/ritonavir, ivermectin, tocilizumab, anakinra |
| Incubation period in days | 2–10 (mean: 6.4) | 2–13 (mean: 5) | 2–14 (mean: 5) |
| Hematological and biochemical findings | Lymphopenia; thrombocytopenia; hypoalbuminemia; transaminitis; increased lactic dehydrogenase, creatine kinase and C-reactive protein levels | Similar to SARS | Similar to SARS along with elevated D-Dimer, and IL-6 |
ARDS, acute respiratory syndrome; MODS, multi-organ dysfunction syndrome; ACE-2, angiotensin-converting enzyme-2; DPP4, dipeptidyl-peptidase-4.
FIGURE 2Emergence of coronavirus in humans and relationship with KD-MISC spectrum. Created with BioRender.com.
Comparison of demographic and clinical features of Kawasaki disease and SARS-CoV-2 related MIS-C.
| Parameters | Kawasaki disease | SARS-CoV-2 related MIS-C |
| First reported | 1967; Tokyo, Japan | April 2020; London, United Kingdom |
| Trigger | Unknown etiology (Probable infectious trigger in genetically predisposed patients) | SARS-CoV-2 |
| Age group | More common in children < 5 years | 4–13 years |
| Ethnicity | Worldwide; highest incidence in East Asia (Japan, Korea, Taiwan) | Worldwide; paucity of cases in East Asia |
| Interval between exposure and symptoms | Not known | 3–6 weeks |
| Sex | Male > female | No clear sex bias |
| Systems involved | Cardiac: Coronary artery aneurysms during convalescent phase (after 3 weeks of fever); myocarditis | Cardiac: Coronary artery aneurysms during acute phase, myocarditis and left ventricular dysfunction CAAs are usually transient |
| CNS: Irritability and aseptic meningitis | CNS: Meningitis and encephalitis | |
| Gastro-intestinal: Gall bladder hydrops | Gastro-intestinal: Abdominal pain (acute pseudo surgical abdomen, peritoneal effusion) | |
| Laboratory parameters | Neutrophilic leukocytosis; thrombocytosis elevated inflammatory parameters (CRP, Procalcitonin, Troponin, Pro-BNP) | Lymphopenia; thrombocytopenia significantly elevated inflammatory parameters (CRP, Procalcitonin, Troponin, Pro-BNP, Ferritin) |
| Complications | KD shock syndrome (2–7%) MAS (1.3%) ( | MODS (More than 70%) MAS |
| Mortality | <0.1% in Japanese cohort | 1–2% |
| Immunological features | High levels of TNF-α, IL-17 Autoantibodies against DEL-1 (anti-inflammatory protein against ICAM-1) Role of IgA in pathogenesis | High levels of plasma—IL-17a Autoantibodies against MAP2K2 and casein kinase family Autoreactive IgG |
| Treatment | IVIg, steroids, infliximab | IVIg and steroids |
CNS, central nervous system; CRP, C-reactive protein; MODS, multiple organ dysfunction; BNP, brain natriuretic peptide; IVIg, intravenous immunoglobulin; MAS, macrophage activation syndrome.
FIGURE 3The SARS-CoV-2 viral proteins and functional roles in host cells. Created with BioRender.com.
Genetic loci associated with KD, MIS-C and severe COVID-19.
| S. No | Study group | Disease | Associated host gene alterations | Function | Results | References |
| 1 | ( | MIS-C |
| Negative regulator of IFN signaling | 2/2 (100%) | ( |
| 2 | ( | MIS-C |
| XIAP regulates cell death, and CYBB is essential in phagocytic NADPH-oxidase activity | 5/18 (27.77%) | ( |
| 3 | ( | KD |
| ( | ||
| 4 | ( | KD | BLK:B cell proliferation and differentiation HLA: Regulation of immune system CD40: co-stimulatory protein found on antigen-presenting cells | rs2254546: | ( | |
| 5 | ( | KD | IG heavy chain variable gene | rs4774175; OR = 1.20, | ( | |
| 6 | ( | KD | HLA-DRB1 | Regulation of immune system | Development of CAL in KD | ( |
| 7 | ( | Severe COVID-19 | HLA-B*46:01 | Regulation of immune system | Computer simulation study predicted vulnerability to COVID-19 | ( |
| 8 | ( | Severe COVID-19 | HLA-B*15:03 | Regulation of immune system | Allele allows preferential presentation of highly conserved domains | ( |
CAL, coronary artery lesions; HLA, human leukocyte antigen; IGHV, immunoglobulin heavy variable; XIAP, X-linked inhibitor of apoptosis; CYBB, cytochrome b-245 beta.
Immune mechanisms operative in SARS-MERS-COVID-19 infections and KD/MIS-C.
| Immune component | SARS | MERS | COVID-19 | KD | MIS-C |
| Entry into host cell | ACE-2 Co-receptors: DC-SIGN (CD209) L-SIGN (CD209L) ( | CD26/Dipeptidyl peptidase-4 (DPP-4) | High affinity binding of ACE-2 ( | Etiological agent not discovered yet | High affinity binding of ACE-2 ( |
| Innate Immunity | |||||
| Inflammasome | NLRP3 inflammasome activation by SARS-CoV 3a protein ( | NLRP3 inflammasome triggered by C5aR1 | NLRP3 inflammasome IL-1β and IL-6 activation ( | Dysregulated NLRP3 inflammasome ( | Upregulation of NLRP3 and Il-β signaling ( |
| Monocytes | Poorly infect monocytes/ macrophages ( | Poor replication in monocytes/ macrophages but significant anti-viral immune response ( | Reduced monocyte subsets, lowered expression of HLA-DR, and elevated CD163 ( | Elevated CD14+CD16+ monocytes in acute KD ( | Reduced CD14, elevated CD64 (FcRγ1) expression in non-classical CD16+ monocytes ( |
| IFN-γ | Delayed and diminished levels of IFN-I. | Delayed and diminished levels of IFN-I. | Reduced IFN- γ in COVID-19 generates cytokine storms | Differential response as per host IFN-I polymorphism ( | Dysregulated IFN-γ ( |
| Complement/coagulation | C3 factor CR1 in erythrocytes | C5a in the serum C5b-9 in the lung tissues | Thrombotic microangiopathy; increase in C5b-9 levels ( | Classical pathway: C3 and B activation | sC5b-9 leading to microangiopathy |
| Adaptive Immunity | |||||
| B-Cells | Antibody dependent enhancement | Attenuated B cell response | Antibody dependent enhancement | IgA+ peripheral B cells from acute KD ( | Reduced total, effector and class switched memory B cells. Auto-antibodies including endoglins, exclusively to MIS-C: MAP2K2 and casein kinase family. |
| T Cell | Lymphopenia and suppressed T-cell activation; long-lived memory CD4+ and CD8+ T-cell responses—Polyfunctional CD4+ and CD8+ T cell responses. | Lymphopenia; CD8+ T-cell response specific to MERS in severe disease; long-lived memory T-cell responses. | Lymphopenenia; reduction in functional diversity of T cells; higher exhaustion, reduced multi-functional CD4+ T cells and higher CD8 + T cell exhaustion | Increased CD69+ natural killer and γδ T-cells ( | Decreased naive CD4+ T cells (CD4+CD45RA+) and elevated memory T cells (CD4+CD45RO+) Both CM and EM CD4+ T cells are noted in MIS-C but not in KD ( |
| Cytokine Storm | Th17 mediated ( | Th17 mediated ( | Th17 mediated ( | Elevated levels of Th17 mediated IL-17A in KD ( | Consistent myeloid activation |
| Cytokines and chemokines | IFN TGF, IL1, IL6, IL8, IL-12, CCL2, CXCL3, CXCL5 CXCL9, CXCL10, MCP1 | IFN TGF, IL1, IL6, IL8. CCL2, CCL3, CCL5, CXCL10 | IL1, IL6, MCP1, IL-2, IL8, IL-7, IL-17, G-CSF, GM-CSF, MIP 1α | IL-6, IL-8, IL-1 and IL-17A levels | IFN-γ, IL-18, IL-1β, IL-8, IL-6, IL-10, IL17 and TNF |
DC-SIGN, dendritic cell-specific intercellular adhesion molecule-3-grabbing non-integrin.
FIGURE 4Key pathogenic mechanisms in SARS, MERS and COVID-19. Created with BioRender.com.