| Literature DB >> 34716418 |
Chetan Sharma1, Madhusudan Ganigara2, Caroline Galeotti3, Joseph Burns4, Fernando M Berganza5, Denise A Hayes6, Davinder Singh-Grewal7, Suman Bharath8, Sujata Sajjan9, Jagadeesh Bayry10,11.
Abstract
Children and adolescents infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are predominantly asymptomatic or have mild symptoms compared with the more severe coronavirus disease 2019 (COVID-19) described in adults. However, SARS-CoV-2 is also associated with a widely reported but poorly understood paediatric systemic vasculitis. This multisystem inflammatory syndrome in children (MIS-C) has features that overlap with myocarditis, toxic-shock syndrome and Kawasaki disease. Current evidence indicates that MIS-C is the result of an exaggerated innate and adaptive immune response, characterized by a cytokine storm, and that it is triggered by prior SARS-CoV-2 exposure. Epidemiological, clinical and immunological differences classify MIS-C as being distinct from Kawasaki disease. Differences include the age range, and the geographical and ethnic distribution of patients. MIS-C is associated with prominent gastrointestinal and cardiovascular system involvement, admission to intensive care unit, neutrophilia, lymphopenia, high levels of IFNγ and low counts of naive CD4+ T cells, with a high proportion of activated memory T cells. Further investigation of MIS-C will continue to enhance our understanding of similar conditions associated with a cytokine storm.Entities:
Mesh:
Year: 2021 PMID: 34716418 PMCID: PMC8554518 DOI: 10.1038/s41584-021-00709-9
Source DB: PubMed Journal: Nat Rev Rheumatol ISSN: 1759-4790 Impact factor: 20.543
Comparison of Kawasaki disease and MIS-C
| Comparison | Kawasaki disease | MIS-C |
|---|---|---|
| Age | 6 months to 5 years | 6–11 years |
| Sex | Male predominance (~1.5:1) | No apparent predominance |
| Race or ethnicity | Highest incidence in Japan, China, South Korea and Taiwan | Highest incidence in children of African and Hispanic heritage |
| Trigger | Unknown but some data suggest possible preceding viral or bacterial infection | Onset ~3–6 weeks after SARS-CoV-2 exposure |
| Similarities | Enhancement of IL-1β+ neutrophils and immature neutrophils | |
| Differences | T cell activation by a conventional antigen | SARS-CoV-2 viral spike (S) protein acts like a superantigen, triggering a cytokine storm |
| High levels of IL-17 | High levels of IL-15, IFNγ in severe cases | |
| Relatively less frequent MAS-like cytokine profile | >50% of patients with MIS-C have a MAS-like cytokine phenotype | |
| Lymphopenia is rare | Lymphopenia | |
| Anti-SARS-CoV-2 IgG not reported | Anti-SARS-CoV-2 IgG | |
| Similarities | Similar associations with fever, rash, cervical lymphadenopathy, neurological symptoms, extremity changes | |
| Differences | Relatively high incidence of conjunctival injection and oral mucous membrane changes | Relatively high incidence of gastrointestinal symptoms, myocarditis and shock, and coagulopathy |
| Common | IVIG, glucocorticoids, acetylsalicylic acid | IVIG, glucocorticoids, acetylsalicylic acid |
| Rare | Infliximab, ciclosporin and anakinra | Anakinra, tocilizumab |
IVIG, intravenous immunoglobulin; MAS, macrophage activation syndrome; MIS-C; multisystem inflammatory syndrome in children; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Demographic features of MIS-C study populations
| Study | Cohort location | Median age, years (range or IQR) | Male:female (%) | Race or ethnicity | Ref. | |
|---|---|---|---|---|---|---|
| Dufort et al. | USA | 99 | No median Distribution: 0–5, 31%; 6–12, 42%; 13–20, 26% | 54:46 | Black, 40%; white, 37%; Hispanic, 36%; other, 18%; Asian, 5% | [ |
| Cheung et al. | USA | 17 | 8 (1.8–16) | 47:53 | Ashkenazi Jewish, 35%; Black, 24%; Hispanic, 24%; white non-Hispanic, 12%; Asian, 6% | [ |
| Belhadjer et al. | France, Switzerland | 35 | 10 (2–16) | 51:49 | Not reported | [ |
| Kaushik et al. | USA | 33 | 10 (IQR 6–13) | 61:39 | Hispanic, 45%; Black, 38%; white, 9%; Asian, 3%; other, 3% | [ |
| Davies et al. | UK | 78 | 11 (IQR 8–14) | 67:33 | Afro-Caribbean, 47%; Asian, 28%; white, 22%; other, 3% | [ |
| Pouletty et al. | France | 16 | 10 (IQR 4.7–12.5) | 50:50 | Not reported | [ |
| Toubiana et al. | France | 21 | 7.9 (3.7–16.6) | 43:57 | Sub-Saharan African/Caribbean parentage, 57%; European parentage, 29%; Asian parentage, 10%; Middle Eastern parentage, 5% | [ |
| Capone et al. | USA | 33 | 8.6 (IQR 4.4–12.6) | 61:39 | Other, 45%; Black, 24%; Asian, 9%; white, 9%; unknown, 12% (Hispanic, 27%; non-Hispanic, 73%) | [ |
| Hameed et al. | UK | 35 | 11 (IQR 6–14) | 77:23 | Not reported | [ |
| Whittaker et al. | UK | 58 | 9 (IQR 5.7–14) | 56:44 | Black, 38%; Asian, 31%; white, 21%; other, 10% | [ |
| Moraleda et al. | Spain | 31 | 7.6 (IQR 4.5–11.5) | 58:42 | Not reported | [ |
| Dhanalakshmi et al. | India | 19 | 6 (1.1–16.9) | 42:58 | Not reported | [ |
| Miller et al. | USA | 44 | 7.3 (0.7–20) | 45:55 | Hispanic, 34%; not reported, 25%; white, 20.5%; Black, 20.5% | [ |
| Belot et al. | France | 108 | 8 (IQR 5–11) | 49:51 | Not reported | [ |
| Lee et al. | USA | 28 | 9 (0.1–17) | 57:43 | Hispanic, 43%; white, 36%; Black, 18%; not reported, 3% | [ |
| Riollano-Cruz et al. | USA | 15 | No median Mean 12 (3–20) | 73:27 | Hispanic, 66%; non-Hispanic African American, 13%; non-Hispanic white, 13%; other, 8% | [ |
| Ramcharan et al. | UK | 15 | 8.8 (IQR 6.4–11.2) | 73:27 | African or Afro-Caribbean, 40%; South Asian, 40%; mixed, 13%; other, 7% | [ |
| Grimaud et al. | France | 20 | 10 (2–16) | 50:50 | Not reported | [ |
| Perez-Toledo et al. | UK | 8 | 9 (7–14) | 63:37 | Not reported | [ |
| Jonat et al. | USA | 54 | 7 (0.7–20) | 46:54 | White, 35%; unknown, 31%; other, 19%; African American, 15% | [ |
| Feldstein et al. | USA | 186 | 8.3 (IQR 3.3–12.5) | 65:35 | Hispanic, 31%; Black, 25%; unknown, 22%; white, 19%; other, 5% | [ |
| Toubiana et al. | France | 23 | 8.2 | 52:48 | Not reported | [ |
| García-Salido et al. | Spain | 61 | 9.4 (IQR 5.5–11.8) | 66:34 | Not reported | [ |
| Shobhavat et al. | India | 21 | 7 (IQR 1.9–12.1) | 47:53 | Not reported | [ |
| Niño-Taravilla et al. | Chile | 26 | 6.5 (IQR 2–10.5) | 58:42 | Chilean, 73%; Venezuelan, 12%; Peruvian, 8%; Colombian, 4%; Haitian, 4% | [ |
| Tolunay et al. | Turkey | 52 | 9 (IQR 5–13) | 38:62 | Turkish, 86%; Syrian, 14% | [ |
IQR, interquartile range; MIS-C, multisystem inflammatory syndrome in children.
Fig. 1The temporal relationship between SARS-CoV-2 infection and development of MIS-C.
Evidence suggests that a relationship exists between the timing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and development of multisystem inflammatory syndrome in children (MIS-C). Cases of MIS-C tend to be seen 3–6 weeks after the peak of SARS-CoV-2 transmission in a community. Because of this time lag, MIS-C is associated with a strong anti-spike protein IgG response, but a weak IgM response. It should be noted that implication of SARS-CoV-2 as a triggering factor for the development of MIS-C has yet to be firmly established.
Fig. 2Possible mechanisms implicated in aberrant activation of immune cells in MIS-C.
Clinical signs of multisystem inflammatory syndrome in children (MIS-C) mostly appear several weeks after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. MIS-C might be triggered by dysregulation of immune responses following viral infection. Aberrant activation of immune cells in patients with MIS-C could result from several factors. Infection with particular variants of SARS-CoV-2 might trigger hyperinflammatory responses. Genetic predisposition resulting from variants in the genes that encode pattern recognition receptors, Fcγ receptors and components of the signalling cascades of immune response, as well as mutations in genes such as SOCS1, which regulate inflammatory responses, could all contribute to enhancement of inflammatory responses to infection. Dysregulated activation of lymphocytes, with production of IgG corresponding to microbial pathogens or autoantigens, could cause immune-complex-mediated innate-cell activation by signalling via Fcγ receptors. Production of autoantibodies could also lead to complement activation and autoantibody-mediated endothelial damage. SARS-CoV-2 spike (S) protein might function as a superantigen, contributing to activation of T cells. SOCS1, suppressor of cytokine signalling 1; TLR, Toll-like receptor.
Treatment of MIS-C
| Study | Cohort location | IVIG (%) | Glucocorticoids (%) | Other treatments | Ref. | |
|---|---|---|---|---|---|---|
| Dufort et al. | USA | 99 | 70 | 64 | NR | [ |
| Cheung et al. | USA | 17 | 77 | 82 | Tocilizumab, 6% | [ |
| Belhadjer et al. | France, Switzerland | 35 | 72 | 34 | Anakinra, 9% | [ |
| Kaushik et al. | USA | 33 | 54 | 51 | Tocilizumab, 36%; remdesivir, 21%; anakinra, 12%; convalescent plasma therapy, 3% | [ |
| Davies et al. | UK | 78 | 76 | 73 | Tocilizumab, 4%; anakinra, 10%; infliximab, 9%; rituximab, 1% | [ |
| Pouletty et al. | France | 16 | 94 | 18.8 | Tocilizumab, 6%; anakinra, 6%; hydroxychloroquine, 6% | [ |
| Toubiana et al. | France | 21 | 100 | 33 | NR | [ |
| Capone et al. | USA | 33 | 100 | 70 | Tocilizumab, 9%; anakinra, 12%; infliximab, 3% | [ |
| Hameed et al. | UK | 35 | 100 | 100 | NR | [ |
| Whittaker et al. | UK | 58 | 71 | 64 | Anakinra, 5%; infliximab, 14% | [ |
| Moraleda et al. | Spain | 31 | 65 | 68 | Remdesivir, 6% | [ |
| Dhanalakshmi et al. | India | 19 | 79 | 58 | Tocilizumab, 5% | [ |
| Miller et al. | USA | 44 | 82 | 96 | Anakinra, 18% | [ |
| Lee et al. | USA | 28 | 71 | 61 | Anakinra, 18% | [ |
| Riollano-Cruz et al. | USA | 15 | 80 | 20 | Tocilizumab, 80%; remdesivir, 13%; anakinra, 13%; convalescent plasma therapy, 6% | [ |
| Ramcharan et al. | UK | 15 | 66 | 33 | NR | [ |
| Grimaud et al. | France | 20 | 100 | 10 | Tocilizumab, 10%; anakinra, 10% | [ |
| Jonat et al. | USA | 54 | 83 | 79 | NR | [ |
| Feldstein et al. | USA | 186 | 77 | 49 | Anakinra, 13% | [ |
| Toubiana et al. | France | 23 | 100 | 61 | NR | [ |
| García-Salido et al. | Spain | 61 | 45 | 80 | Tocilizumab, 24%; hydroxychloroquine, 55% | [ |
| Shobhavat et al. | India | 21 | 52 | 86 | Tocilizumab, 10% | [ |
| Niño-Taravilla et al. | Chile | 26 | 77 | 88 | Tocilizumab, 12%; infliximab, 4% | [ |
| Tolunay et al. | Turkey | 52 | 93 | 71 | Anakinra, 4% | [ |
IVIG, intravenous immunoglobulin; MIS-C, multisystem inflammatory syndrome in children; NR, not reported.
Reported clinical features of multisystem inflammatory syndrome in children
| Affected organ system | Symptoms | Frequency of involvement (%) | Refs |
|---|---|---|---|
| Cardiovascular | Shock | 40–80 | [ |
| Cardiac arrhythmias | 2 | [ | |
| Abnormal ST- or T-wave segment | 22 | [ | |
| Prolonged QT interval | 2 | [ | |
| Pericardial effusion | 13–28 | [ | |
| Decreased LVEF by echo | 31–58 | [ | |
| Increased troponin | 68–95 | [ | |
| Myocarditis | 36–87 | [ | |
| Coronary artery dilation on CT | 27 | [ | |
Coronary artery aneurysm Mild Moderate Giant | 14–48 22 7 1 | [ [ [ [ | |
| Gastrointestinal | Gastrointestinal symptoms | 60–100 | [ |
| Diarrhoea | 38–72 | [ | |
| Vomiting | 51–68 | [ | |
| Abdominal pain | 19–71 | [ | |
| Ascites | 21 | [ | |
| Ileitis | 9 | [ | |
| Colitis | 4 | [ | |
| Ophthalmological | Conjunctivitis | 32–83 | [ |
| Periorbital erythema and oedema | 20 | [ | |
| Nervous system | Neurological symptoms | 13–35 | [ |
| Severe symptoms, including encephalopathy, stroke, central nervous system infection/demyelination, Guillain–Barré syndrome and acute cerebral oedema | 3 | [ | |
| Integumentary | Rash | 50–70 | [ |
| Erythematous skin rash | 62 | [ | |
| Hyperaemia, oedema or desquamation of extremities | 26–51 | [ | |
| Malar erythema | 17 | [ | |
| Skin eruptions | 9–14 | [ | |
| Desquamation in groin | 26 | [ | |
| Respiratory | Upper respiratory tract infection | 34 | [ |
| Lower respiratory tract infection | 22 | [ | |
| Pleural effusion on CT | 20 | [ | |
| Lung involvement on CT (bilateral pulmonary consolidation and ground-glass opacity) | 13 | [ | |
| Mucosal | Oral mucosa hyperaemia | 41 | [ |
| Red and/or cracked lips | 37–49 | [ | |
| Strawberry tongue | 11–23 | [ | |
| Lips and oral-cavity changes | 74 | [ | |
| Other | Lymphadenopathy (cervical) | 19–61 | [ |
| Extremity changes | 8–52 | [ |
LVEF, left ventricular ejection fraction.
Fig. 3Comparative incidence of clinical signs in MIS-C and Kawasaki disease.
Percentage incidence of particular symptoms in patients with multisystem inflammatory syndrome in children (MIS-C) or Kawasaki disease is shown, with the values derived from published reports[210,231,232,234–236,246,249,250,264–270]. Although some clinical signs, such as fever and cervical lymphadenopathy are equally prevalent in both MIS-C and Kawasaki disease, the incidence of other symptoms, including shock, coronary artery involvement and gastrointestinal symptoms (vomiting, diarrhoea or abdominal pain), are characteristic of MIS-C. a‘Conjunctival injection’ refers to bilateral non-exudative conjunctivitis in Kawasaki disease. b‘Rash’ refers to polymorphous rash in Kawasaki disease. c‘Coronary artery dilation of aneurysm’ refers to incidence in untreated cases of Kawasaki disease.