Next Article in Journal
Maize Aldehyde Decarbonylase 1 Gene (ZmCER1) Positively Regulates Salt and Drought Tolerance by Improving Wax Synthesis and Reactive Oxygen Species Detoxification
Next Article in Special Issue
Evaluation of the Systemic Inflammatory Landscape and C1q/TNF-Related Protein Profiles in Facial Paralysis
Previous Article in Journal
Phenolic-Enriched Fractions of Rubus buergeri Attenuate LPS-Induced Nitric Oxide Production and Inflammatory Gene Expression in Macrophages
Previous Article in Special Issue
Serglycin Across the Disease Spectrum: A Multifunctional Proteoglycan in Inflammation and Cancer
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Hypothesis

Etiology Model of Kawasaki Disease and Multisystem Inflammatory Syndromes: Mast Cell Activation

Molecular BioInsights, 37 Pilgrim Drive, Winchester, MA 01890, USA
Curr. Issues Mol. Biol. 2026, 48(5), 508; https://doi.org/10.3390/cimb48050508
Submission received: 23 March 2026 / Revised: 6 May 2026 / Accepted: 7 May 2026 / Published: 14 May 2026

Abstract

Background/Objectives: Kawasaki’s disease (KD) is a leading cause of heart disease in children. The multisystem inflammatory syndrome (MIS) associated with the SARS-CoV-2 virus is similar to KD. The etiologies of KD and MIS are unknown. Both diseases are associated with pathogens and immunizations. Methods: The Vaccine Adverse Event Reporting System (VAERS) was retrospectively examined for etiology insights into both KD and MIS. Results: Statistically significant, elevated AE MIS safety signals were observed for several COVID-19 Pfizer-BioNTech manufacturing lots. Elevated AE MIS normalized frequencies were observed in children of all ages. Immediate-onset AE KD safety signals were detected for specific vaccines and coadministered combinations of these vaccines (including specific live, attenuated virus vaccines and other specific vaccines) for young infants; a subset of these safety signals has a male sex bias, whereas others appear to be unbiased. Conclusions: Both KD and MIS are hypothesized to involve two activation pathways. The first pathway is hypothesized to involve high titers of immune complexes that activate Fc receptors on mast cells, platelets, and other immune cells. Immune complex titers higher than primary immune response levels are hypothesized to be required to activate low-affinity IgG FcγR2α receptors on immune cells and platelets. IVIG treatment is hypothesized to directly compete with immune complex binding to FcγR2α receptors. The second hypothesized pathway is proposed to directly activate mast cells and other immune cells without involving immune complexes and Fc receptors; lack of Fc receptor competition by immune complexes is hypothesized as a possible explanation for IVIG nonresponders for KD and MIS, worthy of future studies. The proposed etiology models for both KD and MIS may be consistent with being novel mast cell activation syndromes (MCAS). MIS is hypothesized to be KD-associated with the SARS-CoV-2 virus or the COVID-19 spike protein (MIS-V).

1. Introduction

Kawasaki disease (KD) (also known as mucocutaneous lymph node syndrome) is a form of vasculitis in which medium-sized blood vessels become inflamed throughout the body. KD primarily affects children under 5 years of age. Symptoms include fever, rash, conjunctivitis (red eye), oral changes (red, dry, cracked, or fissured lips, “strawberry tongue”, and inflamed oral mucosa), palmar and plantar erythema (redness of hands and feet), cervical adenopathy (enlarged lymph nodes of the neck), coronary artery aneurysms (CAAs) or lesions (CALs) (~25%), and peripheral artery aneurysms [1]. KD fever typically lasts for more than five days and is unresponsive to paracetamol (acetaminophen) or ibuprofen. KD is the leading cause of acquired heart disease (including myocarditis and CAA) in children. The skin on the hands and feet may peel after the patient’s recovery. The etiology of KD is currently unknown. Atypical (or incomplete) KD patients do not fulfill the complete diagnostic criteria for KD but are also at risk for developing coronary artery abnormalities [2]; treatment of KD patients and atypical KD patients with intravenous immunoglobulin (IVIG) and aspirin greatly reduces the incidence of CALs in patients (overview [2]). Notably, aspirin is normally contraindicated for children because of the possible risk of Reye’s syndrome [3]. Up to 20% of IVIG-treated patients develop recurrent or persistent fever (IVIG-resistant) (overview [2]). Kawasaki disease shock/toxic-shock syndrome (KDSS) is an acute phase of KD [4].
Associations between KD and multiple viruses [5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26] and bacterial pathogens [14,27,28,29,30,31,32] have been reported. KD cases frequently occur several weeks after pathogen outbreaks [22,33,34]. Pyroptosis is a form of inflammatory, programmed, and lytic cell death triggered by infections or other signals where cells rupture and release some proinflammatory molecules. Infection-triggered pyroptosis [35] and endothelial cell pyroptosis may play a role in some KD patients [36]. Seasonal exposure patterns are associated with some KD patients aged 3 years or older but not younger [37]. During the COVID-19 pandemic, the incidence of KD cases decreased and remained low during the period of masking and school closures for older children more than for infants [38,39]. KD has also been reported as a rare adverse event associated with individual vaccines and concomitantly administered vaccine combinations [40,41,42,43,44,45,46,47,48,49,50,51,52,53,54]. Patients with KD can also have altered gastrointestinal microbiota [55,56]. KD cases also temporally cluster [57]. Environmental exposures may be triggering some KD cases [58]. Cumulative prenatal and postnatal air pollution exposure to carbon monoxide (CO), nitric oxide (NO), nitric dioxide (NO2), and nitrogen oxide (NOx) but not ozone (O3) exposure has a dose-dependent effect on increasing KD incidence [59]. O3, but not CO, NO2, particulate matter with an aerodynamic diameter <10 μm (PM10), and SO2, were not found to be associated with each other in a different study [60]. A study of CO, NO2, SO2, O3, PM2.5, and PM10 reported positive associations for only SO2 and PM2.5 for KD [61]. An exposure dosage relationship between PM2.5 and KD has been reported [62]. Additionally, increases in the monthly mean temperature and dry season were associated with increased KD in the Philippines [63]. PM2.5, PM10, SO2 (warm season), and temperature associations have been detected [64]. A meta-analysis revealed both prenatal and postnatal associations between ambient air pollution and KD [65]. KD associations include pathogens, vaccines, air pollution, and increased temperature.
Individuals with COVID-19 can develop multisystem inflammatory syndrome (MIS) in children (MIS-C), adults (MIS-A) [66], and neonates (MIS-N), with significant similarities to KD or KDSS [67]. MIS-C has also been named Pediatric Inflammatory Syndrome temporally associated with SARS-CoV-2 infection (PIMS-TS) [68]. MIS is thought to be distinct from KD because of differences in patient age profiles; gastrointestinal and cardiovascular system involvement (including myocarditis, transient left ventricular dysfunction, and depressed cardiac output); and laboratory findings [67,68,69,70,71]. Elevated troponin and elevated B-type natriuretic peptide are key laboratory findings of MIS compared with KD [72]. KD and KDSS are associated with coronary artery pathologic changes and long-term cardiovascular sequelae [73,74,75]. KD and MIS symptoms overlap with those of mast cell activation syndromes (MCAS) [76]. Note that temperature changes and air pollution are known to trigger MCAS. KD and MIS are generally considered distinct diseases.
Platelet activation plays an important role in KD pathogenesis [77]; monocyte-platelet aggregates (MPAs) (markers of platelet activation) are significantly elevated in the acute stages of KD [77]. Platelet count and plateletcrit (PCT) were found to be diagnostic markers for KD [78]. Thrombocytopenia has been reported in a KD patient [79]. Thrombocytopenia or thrombocytosis can be associated with KD [80]. In a murine model of KD vasculitis, platelets exacerbated cardiovascular inflammation [81]. A KD etiology model in which activated mast cells and platelets are important KD pathogenic characteristics has been proposed [82]. In KD, platelets and activated monocytes can result in Kawasaki disease complicated with macrophage activation syndrome (KD-MAS) [83].
In this study, the Vaccine Adverse Event Reporting System (VAERS) was retrospectively examined to obtain additional insights into the pathogenesis of both KD and MIS. Previously proposed KD and MIS etiology models are refined, linking pathogen infections, immunization, and environmental triggers with activated mast cells. Hypothesized unknown microbial manufacturing contaminants and live, attenuated vaccine viruses are candidates for future studies of KD and MIS post-immunization.

2. Materials and Methods

This is a retrospective analysis of the VAERS database [84] from 1 January 1990, until 30 January 2026. The VAERS database was searched for “Kawasaki’s disease”, “Multisystem inflammatory syndrome”, “Multisystem inflammatory syndrome in children”, “Multisystem inflammatory syndrome in adults”, and Death AEs. The Ruby program vaers_slice5.rb [85] was used for retrospective analysis of the VAERS data files VAERSDATA, VAERSSYMPTOMS, and VAERSVAX for the years 1990–2026 and NonDomestic.
For each vaccine (Vname) and each adverse event (X) in VAERS for the selected age group, normalized AE frequencies per P = 100,000 VAERS reports per category of AEs can be calculated with Equation (1) (the count X for V for ages selected over the population count of all individuals immunized for V for the ages selected).
A E ( V | X , P )   n o r m a l i z e d   f r e q u e n c y = A E ( V | X , P ) P a g e V × P 100,000
Vaccines and vaccine combination names including the text “no brand name”, “foreign”, “unknown”, and “vaccine not specified” were excluded to avoid possible reporting biases due to the possibility of underrepresentation of less severe AEs resulting in increased normalized frequency estimates. Data was selected for a minimum of five AE reports per vaccine or coadministered vaccines. Data for vaccines with at least 100 VAERS reports for the selected population age group were selected ( P a g e V   100 ). For reference, the names of coadministered vaccines are joined with the plus symbol. Microsoft Excel was used to create figures. An online calculator for the Chi-square test 2 × 2 contingency table was used [86].

3. Results

In VAERS, AE KD was observed with elevated safety signals for multiple specific vaccines with different normalization frequencies for children aged 0, 1, and 2 years (Figure 1); a subset of these vaccines was observed with elevated normalized frequencies for infants aged 0 years (Figure 2A). The frequency of vaccine names in Figure 2A is plotted in Figure 2B; these same vaccines have similar patterns of normalized frequencies for AE death, Pearson r = 0.66 (Figure 2C). Two commonalities were observed for these vaccines. First, six of the 30 identified vaccines are live, attenuated virus vaccines: Measles + Mumps + Rubella (MMR II) and (Priorix), Measles + Mumps + Rubella + Varicella (Proquad), rotavirus (RotaTeq) and (Rotarix), and varicella (Varivax). Second, 18 of the other 24 identified vaccines include bacteria and/or Saccharomyces cerevisiae (baker’s yeast) in the vaccine manufacturing process. As a possible cross-check of identified safety signals, the yearly normalized frequencies are illustrated in Table 1 for vaccines with at least 75 KD AEs.
Coadministration of two or more vaccines with identified normalized frequency safety signals may result in higher normalized frequencies than for individual vaccines. Across all ages, two concomitantly administered vaccine combinations were observed with more AE KD: DTaP + IPV + HepB + Hib (Infanrix hexa) + Pneumo (Prevnar13) (brand name Prevnar 13) at 1077 and DTaP + IPV + HepB + Hib (Infanrix hexa) + Pneumo (Prevnar13) + Rotavirus (Rotarix) at 1760; these normalized frequencies can be compared to the sum of the normalized frequencies for individual vaccines: DTaP + IPV + HepB + Hib (Infanrix hexa) at 1235, Pneumo (Prevnar13) at 220, and Rotavirus (Rotarix) at 538 (observed 1077 vs. sum = 1454 and observed 1760 vs. sum = 1992). With less supporting data, related combinations also exhibit higher normalized frequencies for vaccine combinations: DTaP + IPV + Hib (Infanrix quinta) + Pneumo (Prevnar13) + Rotavirus (Rotarix) at 1786 andDTaP + IPV + Hib (Infanrix quinta) + Pneumo (Prevnar13) + Rotavirus (Rotarix) at 5634 with DTaP + IPV + Hib (Infanrix quinta) at 1418 (observed 1786 vs. sum = 1638 and observed 5634 vs. sum = 2176).
The normalized frequencies for MIS-V observed for the COVID-19 Pfizer-BioNTech vaccine are shown in Figure 3. While events reported to VAERS are subject to reporting bias with fewer reports with increased time since immunization, the highest reports for KD and MIS are 1–2 days, with possible small increases associated with antibody immune responses (Figure 4). Note that the day of onset patterns post-immunization for KD and MIS correlate with Pearson r = 0.90 (Figure 4). An increased male sex bias is known for KD; normalized frequencies for AE KD by sex in VAERS are illustrated in Figure 5. Four vaccines have higher imbalances between normalized frequencies for males versus females: DTaP + IPV + Hib (Infanrix quinta), DTaP + IPV + HepB + Hib (Infanrix hexa), Measles + Mumps + Rubella (Priorix), and Meningococcal B (Bexsero) (Figure 5), whereas some vaccines have roughly equivalent normalized frequencies (Figure 5). Note that Measles + Mumps + Rubella (MMR II) has low normalized frequencies similar to Measles + Mumps + Rubella + Varicella (Proquad) but discordant from Measles + Mumps + Rubella (Priorix) with higher normalized frequencies for females and much higher normalized frequencies for males (Figure 5). Specific immunization doses were observed with elevated AE KD normalized frequencies (Figure 6). For MIS, more of the reports were observed for the second COVID-19 shot. For COVID-19 Pfizer-BioNTech, the normalized frequency is higher for the second shot (169 reports) versus the first shot (155 reports). The symptoms reported in the VAERS for KD and MIS patients are summarized in Table S1.
For Kawasaki’s disease, five vaccines have manufacturing lots with three reported Kawasaki’s disease cases: DTaP + HepB + IPV (Pediarix): AC21B248CA, Hib (Acthib): T1E12, Pneumo (Prevnar13): EG8873 and CS7258, Rotavirus (Rotarix): RT014 and RT018, and Rotavirus (RotaTeq): 0324X. For MIS, seven COVID-19 (Pfizer-BioNTech) manufacturing lots have four or more MIS cases: EW0179: 4 reports, FE7051: 4 reports, FG6273: 4 reports, FK5127: 24 reports, FK618: 20 reports, FL0007: 21 reports, and FN4072: 6 reports (Figure 7). Thirty-four COVID-19 Pfizer-BioNTech lots with at least 1000 AEs had 1 AE MIS with an average normalized frequency of 57.7, SD = 20.6. For the following chi-square comparisons, these 34 lots have an average of 2082 AEs per lot. The four vaccine lots with the most MIS reports include lot FK5127 with a normalized frequency of 696 (24 of 3448 VAERS reports, χ2 = 0.000525), FK5618 at 782 (20 of 2255, χ2 = 0.000223), FL00007 at 1173 (21 of 1790, χ2 = 0.000004), and FN4072 at 1775 (6 of 338, χ2 = 0.000000) (Figure 7). The elevated MIS normalized frequencies for manufacturing lots are not known to be associated with high-risk recipient groups or background occurrences.

4. Discussion

Candidate KD safety signals were identified for specific vaccines (Figure 1). Considering KD AEs by year (Table 1), sex (Figure 5), and vaccine dose (Figure 6), it provides possible insights into the reproducibility of identified KD safety signals (Figure 1 and Figure 2). The yearly normalized frequencies are illustrated in Table 1 for vaccines with at least 75 KD AEs. No KD AEs were reported for the years 1995 to 2002 for the Hib (ActHib) vaccine. Observed yearly variability may be associated with data sampling size, possible changes to manufacturing processes, or other causes.
The initial etiology model for KD and MIS is for high titers of IgG antibodies in immune complexes binding to low-affinity FcγR2α receptors, activating mast cells, platelets, and other immune cells [82]. VAERS results for this study support expanding this etiology model to also include activation of mast cells from live, attenuated vaccine viruses or unknown vaccine component including possible contaminant(s) for specific vaccines (Figure 1, Figure 2 and Figure 7). Endotoxin, a possible COVID-19 vaccines manufacturing contaminant from Escherichia coli, exposure is known to activate mast cells [87]. The limulus amebocyte lysate (LAL)-based assays may miss endotoxins (e.g., low endotoxin recovery (LER)) due to a “masking effect” caused by chelators or detergents commonly used in buffer formulations [88]. Microbial components are known to activate mast cells and immune responses via multiple mechanisms. Note that the SARS-CoV-2 spike protein binds to bacterial LPS (endotoxin) and boosts proinflammatory activity [89,90]. By design, vaccines stimulate innate and humoral immune responses. The Toll-like receptor (TLR4) is activated by LPS (endotoxin) of Gram-negative bacteria [91]. TLRs recognize pathogen-associated molecular patterns (PAMPS). KD is associated with pathogen-associated molecular patterns (PAMPS) [92] and microbe-associated molecular patterns (MAMPS) [32]. Increased TLR2 and TLR4 expression in peripheral neutrophils has been detected in some KD patients [93]. Some KD cases may be associated with endotoxins and elevated soluble CD14 (sCD14) [94,95]. Polyclonal expansion of TCRBV2- and TCRBV6-bearing T-cells occurs in KD patients (likely associated with endotoxin exposure) [31]. Low-level endotoxin induces potent inflammatory activation of human blood vessels [96].
Multiple patients with KD or MIS also have associated gastrointestinal (GI) symptoms/intestinal involvement [97,98]; this may include intestinal dysbiosis and sometimes disruption of the gut barrier [99]. Disruption of the gut barrier is likely associated with the presence of a superantigen [100]. Elevated Vβ2 T-cells expansion in some KD patients is consistent with the superantigen model [101]. KD patients with abdominal manifestations (symptoms) are more likely to be IVIG-resistant (p < 0.005) and have CAA (p = 0.007) [102].

4.1. KD and MIS Etiology Model

Etiology Model: KD and MIS are associated with activated mast cells and platelets [82]. Pathogen-associated KD and MIS cases are hypothesized to be triggered by immune complexes binding to low-affinity IgG receptors on mast cells, platelets, and other immune cells [82]. KD and MIS disease delayed cases following pathogen surges by weeks (Figure S1) have been hypothesized to be due to an envisioned threshold for sufficient immune complex binding to low-affinity IgG receptors [82]. Standard IVIG treatment has been hypothesized to compete with immune complexes binding of these low-affinity IgG receptors [82]. CAAs and cardiac symptoms for some KD and MIS patients are hypothesized to be associated with cardiac capillary vasoconstrictions [103,104].
Hypothesis H1.
Disruption of the gut barrier in some KD and MIS patients and resulting exposures to microbial components may be triggering disease, including activation of mast cells; this can occur for either persistent GI infections or immunizations with live, attenuated virus vaccines like rotavirus vaccines. Unlike pathogen-associated delayed disease onset, disease onset may be rapid (within days of immunization).
Hypothesis H2.
Similar to observed COVID-19 Pfizer-BioNTech manufacturing lots with elevated MIS safety signals, other identified vaccines (not live, attenuated virus vaccines) with immediate onset KD safety signals may be associated with possible unknown microbial manufacturing contaminants.
Hypothesis H3.
The KD bias towards children ages 0–5 is hypothesized to be partially attributed to observed KD-V AEs.
Hypothesis H4.
Multisystem inflammatory syndrome is Kawasaki disease associated with the SARS-CoV-2 pathogen, with differences associated with specific infectious pathogen (e.g., SARS-CoV-2). Similarly, MIS-V is KD-V [105] associated with a COVID-19 (spike protein) vaccine. The differences between KD and MIS are proposed to be associated with the SARS-CoV-2 virus symptoms (MIS-C, MIS-A, and MIS-N).
Pathogen-associated reports are hypothesized to be associated with elevated immune complexes IgG antibody levels above primary immune response levels, activating low-affinity IgG FcγR2α receptors on platelets, mast cells, and additional immune cells (note the risk of persistent infections) (Table 2) [104,106]. Elevated histamine and likely serotonin levels are likely associated with most of the KD and MIS symptoms [82]. For KD and MIS patients with high IgG antibody titers, IVIG treatment is hypothesized to directly compete with immune complex binding to FcγR2α receptors, resulting in reduced activation of mast cells and platelets, and relief of associated symptoms. Immunization and environmental exposures can activate mast cells, immune cells, and likely platelets without (likely IVIG-resistant) or sometimes with FcγR2α receptor binding (e.g., humoral responses post-immunization) (Table 2). Gastrointestinal symptoms are reported in the majority of MIS-C patients [107,108,109,110,111]. A MIS-A patient with profound gastrointestinal symptoms has been reported [112]. SARS-CoV-2 virus or spike protein (COVID-19 vaccines) can induce additional gastrointestinal and cardiac symptoms in MIS and MIS-V patients, respectively. The spike protein also activates mast cells via TLR4 and angiotensin-converting enzyme 2 (ACE2) receptors [113]. For KD and MIS associated with onset within a few days of immunization (Figure 4), hypothesized unknown microbial manufacturing contaminant(s) (or spike protein binding) is hypothesized to activate mast cells via TLR4; this activation pathway does not involve FcγR2α receptors, and these patients are anticipated to be resistant to IVIG treatment (Table 2).
Notably, overall immune activation is increased in KD [114]. It is unknown whether histamine intolerance (HIT) plays a role in KD or MIS. Multiple factors can influence an individual’s tolerance threshold for histamine, including drugs [115], foods (cocoa, spinach, tomatoes, wine, beer, cheeses, yogurt, meat, soy, fermented foods, etc.) [115,116], the gastrointestinal microbiome [115], and the stage of the menstrual cycle [116].

4.2. Age-Related Risk Patterns

The proposed KD and MIS etiology model proposes the activation of mast cells, platelets, and immune cells by Fc receptor binding to immune complexes or via direct activation of immune cells. Maternally transferred antibodies (matAbs) may play a role in KD-N and MIS-N in neonates with neonate antibody responses combined with matAbs to reach the envisioned higher levels of IgG antibodies in immune complexes needed to trigger disease [117]. For the 0–5 year age group, it appears that specific vaccines either contain live, attenuated vaccine viruses or (based on elevated MIS for multiple COVID-19 Pfizer-BioNTech manufacturing lots) hypothesized unknown microbial manufacturing contaminant(s); these observations are worthy of follow-up studies for AE KD (KD-V) (Figure 1) and also AE MIS (MIS-V) (Figure 3). Associations of KD with immunization (Figure 1) may account for the lack of seasonal exposure patterns for some KD patients aged younger than 3 years [37]. The normalized frequencies observed for COVID-19 (Pfizer-BioNTech) may approximate MIS (both MIS-C and MIS-V) risk levels in children (Figure 3).

4.3. Cardiac Adverse Events and Acquired Heart Disease

This etiology model also hypothesizes that aneurysms are pressure-induced by contracted cardiac capillary pericyte vasoconstrictions [104]; notably, serotonin released from activated platelets is also associated with vasoconstrictions [118,119]. Induced cardiac capillary pericyte contractions are hypothesized to be associated with anoxia and possibly pressure-induced CAA and peripheral artery aneurysms [103,104]. Untreated patients with ongoing ischemia are hypothesized to experience cardiac myocyte anoxia, which may account for KD-associated acquired heart disease; this also explains the vascular dysfunction in patients who do not have echocardiographic evidence of coronary artery abnormalities in the acute phase of KD. An increased proportion of KD patients with CAA also have the plasma fibrinogen (FG) alpha genotype Thr312Ala [120]. Sex differences in cardiac mast cells activation have also been observed [121]; this may be associated with the KD male sex bias for specific vaccines (Figure 5).
The differences between MIS-related cardiac symptoms and KD-related symptoms (myocarditis, transient left ventricular dysfunction, and depressed cardiac output) may be directly due to the SARS-CoV-2 virus or the SARS-CoV-2 vaccine spike protein. For COVID-19 mRNA vaccines, circulating spike proteins are observed in vaccinees with myocarditis [122], along with elevated cardiac troponin levels [123]. For COVID-19 vaccines, the spike protein disrupts cardiac pericytes through cluster of differentiation 147 (CD147) receptor-mediated signaling and another unknown mechanism [124]. The spike protein also activates mast cells via TLR4 and angiotensin-converting enzyme 2 (ACE2) receptors [113]. These spike protein interactions may account for the increased risk for myocarditis and transient left ventricular dysfunction observed in MIS compared with KD [125]. Note that the spike protein interactions cannot account for the MIS normalized frequency disparities for COVID-19 Pfizer-BioNTech manufacturing lots (Figure 7).

4.4. KD and MIS Delayed Onset

Clusters of KD and MIS (Figure S1) reports are frequently observed with delayed disease onset (approximately 1 month or more) following various pathogen [22,33,34] and COVID-19 outbreaks [126], respectively. For these delayed disease onset patterns, the proposed etiology model requires IgG antibody levels to be higher than primary immune response levels to trigger disease [117]. One scenario includes persistent infections (e.g., gastrointestinal infections), which may occur in some KD and MIS patients [117]. Elevated SARS-CoV-2 antibody titers [107,127,128,129], current SARS-CoV-2 infections, or prior SARS-CoV-2 infections or exposures [130,131,132,133,134,135] are observed in MIS patients. For MIS-C, sustained levels of inflammatory macrophage-activating, Fc receptor-binding antibodies are selectively maintained in severe disease [136]. MIS-C develops in some children with COVID-19 and persistent SARS-CoV-2 infections [137].

4.5. KD Genetics

Genetic variants are predicted to increase or decrease associated with KD and MIS risks. Confirmed KD genetic variants include inositol 1,4,5-trisphosphate 3-kinase C (ITPKC) [138,139], caspase-3 (CASP3) [139,140], toll-like receptor 6 (TLR6) [141], and the low-affinity IgG receptor gene FcγR2α (encoding FcγRIIa) [142,143,144,145] (Table 3). The FcγR2α rs1801274 C allele encodes arginine (R) (low binding to IgG2 and IgG3), and the T allele encodes histidine (H) (high binding to IgG2 and IgG3) [146]. The FcγR2α pHis167Arg is associated with KD risk in males [147]. Candidate KD-associated genes are associated with the immune system, calcium signaling, KD susceptibility, IVIG resistance, and aneurysm formation (reviewed [148,149]) (Table 3). Note that CASP3 is released by activated mast cells [150]. Mast cells express CD40 ligand (CD40L) that interacts with CD40 on B-cells [151]. While no association with the FcγR2α rs1801274 polymorphism was found, MIS-C patients with the homozygous FcγR2α rs1801274 gene polymorphism developed severe cardiac dysfunction [152]. Individual genetics alter KD and MIS risks. Genetic variants in T helper cell pathways may contribute to immune dysregulation in KD [153]. Identified genetic variants associated with KD play roles in immune cells, including mast cells, activation or signaling.

4.6. IVIG Treatment and IVIG Resistance

The model of high levels of IgG antibody binding low-affinity IgG FcγR2α receptor represents a potential novel form of antibody-dependent enhancement (ADE) for both KD and MIS [106]. IVIG treatment is hypothesized to compete with pathogen IgG antibodies for FcγR2α receptor binding, with a possible increased risk for IVIG resistance; note that TLR4 (non-FcγR2α receptor) activated mast cells are hypothesized to be more likely IVIG-resistant (due to a different activation pathway). This model potentially explains the unpredictable ineffectiveness of current therapy and the observed IVIG resistance in both KD and MIS patients.

4.7. MIS Differences from KD

KD and MIS reports not temporally associated with recent vaccinations are hypothesized to be associated with persistent (perhaps gastrointestinal in some reports) infections. The greater number of KDs at ages 0–5 is hypothesized to be partially attributed to observed KD-V AEs. Resilience against the development of pressure-induced CAA may reduce incidence rates as the age of patient increases. SARS-CoV-2 infection or spike protein interactions may account for cardiac differences between MIS and KD. Otherwise, MIS appears to be KD-associated with either the SARS-CoV-2 virus or COVID-19 immunization (MIS-V).

4.8. Candidate Adjunctive Treatments

If the proposed KD and MIS etiology model is correct, then additional adjunctive treatments, including mast cell stabilizers, antihistamines, and possibly serotonin antagonists are candidates for future institutional review board (IRB)-approved targeted clinical studies (e.g., report series) (perhaps targeting IVIG nonresponders).

4.9. Study Limitations

The VAERS database includes only a small subset of adverse events experienced by vaccinees. Any reporting biases or exclusion of adverse events would perturb the accuracy of VAERS, which represents the population.

4.10. Study Recommendations

This study hypothesizes that mast cell and platelet activation drive the etiology of both KD and MIS. Many of the disease symptoms are consistent with hypothesized elevated levels of histamine and/or serotonin. Evaluations of adjunctive treatments targeting elevated histamine or serotonin levels are candidates for evaluation in approved clinical studies. Early treatments may reduce the risk of CALs and acquired heart disease in KD patients and ventricular dysfunction and cardiac adverse events in MIS patients. For future studies, KD and MIS reports not associated with immunizations are hypothesized to have undiagnosed persistent infections. If future studies confirm hypothesized microbial manufacturing contaminations, elimination or reduction in these contaminants are hypothesized to reduce AEs KD safety signals in children. Modifications of current childhood live attenuated virus vaccines to be non-replicating in human cells are hypothesized to reduce AEs KD safety signals in children.

5. Conclusions

The etiology of both KD and MIS are both likely novel MCAS. An etiology model is proposed that can account for the etiology of both KD and MIS. For pathogen-associated infections, high-titer immune complexes are hypothesized to activate low IgG-affinity FcγR2α receptors; this may account for observed delayed disease onset clusters following pathogen outbreaks. Air pollution and increased temperature can also activate mast cells, triggering KD. Based on elevated safety signals observed for several COVID-19 Pfizer-BioNTech manufacturing lots, evaluation of possible unknown microbial manufacturing contaminants of specific vaccines with immediate onset KD and MIS post-immunization is worthy of future studies. Activating mast cells either directly via TLR4, PAMPS activation, MAMPS activation, or by live attenuated vaccine viruses is hypothesized for specific vaccines with immediate onset post-immunization; these patients are proposed for future studies of IVIG nonresponders. KD-related male sex bias may be partially due to observed male sex bias for multiple specific vaccines; sex differences between cardiac mast cells are worth of future studies. While appearing clinically distinct, MIS is hypothesized to be KD-associated with the SARS-CoV-2 virus or the COVID-19 spike protein (MIS-V).

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/cimb48050508/s1.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original data presented in the study are openly available in https://doi.org/10.7910/DVN/QRBEQT, Harvard Dataverse, V2. An early version of this study was released as a preprint https://www.preprints.org/manuscript/202603.0353 (accessed on 19 Februrary 2026) and mirrored at https://sciety.org/articles/activity/10.20944/preprints202603.0353.v1 (accessed on 5 March 2026).

Conflicts of Interest

Author Darrell O. Ricke was employed by the company Molecular BioInsights. The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ACE2Angiotensin-converting enzyme 2
ADEAntibody-dependent enhancement
AEAdverse event
B-cellImmune B lymphocyte
BLKB-cell lymphoid tyrosine kinase
CAACoronary artery aneurysm
CALsCoronary artery lesion
CASP3Caspase 3
CD14Cluster of differentiation 14
CD147Cluster of differentiation 147, also known as EMMPRIN (Extracellular Matrix Metalloproteinase Inducer), or Basigin
CD40Cluster of differentiation 40
CD40LCluster of differentiation 40 ligand
COCarbon monoxide
COVID-19Coronavirus disease 2019
DTaPDiphtheria, tetanus, and pertussis (whooping cough) vaccine
Fcfragment crystallizable region of antibody
FcγRFc gamma receptor
FGplasma fibrinogen
GIgastrointestinal
Hep Bhepatitis B
HibHaemophilus influenzae type b vaccine
HIThistamine intolerance
HLAhuman leukocyte antigen
IgGimmunoglobulin G
IGHVimmunoglobulin heavy variable gene
IPVinactivated poliovirus vaccine
ITPKCinositol 1,4,5-trisphosphate 3-kinase C
IVIGintravenous immunoglobulin
KCNN2Potassium Calcium-Activated Channel Subfamily N Member 2
KDKawasaki’s disease
KD-MASKawasaki disease complicated with macrophage activation syndrome
KD-NKawasaki’s disease in neonates
KDSSKawasaki disease shock/toxic-shock syndrome
KD-VKawasaki’s disease associated with vaccination
LALLimulus Amebocyte Lysate
LERLow endotoxin recovery
LPSLipopolysaccharide
MAMPSMicrobe-associated molecular patterns
matAbsMaternally transferred antibodies
MCASMast cell activation syndromes
MISMultisystem inflammatory syndrome
MIS-AMultisystem inflammatory syndrome in adults
MIS-CMultisystem inflammatory syndrome in children
MIS-NMultisystem inflammatory syndrome in neonates
MIS-VMultisystem inflammatory syndrome after COVID-19 vaccination
MMRMeasles, mumps, and rubella vaccine
MPAsMonocyte-platelet aggregates
mRNAMessenger ribonucleic acid
MYH14Myosin heavy chain 14
NA1Neutrophil antigen 1
NONitric oxide
NO2Nitric dioxide
NOxNitrogen oxide
O3Ozone
ORAI1calcium release-activated calcium modulator 1
ORFOpen reading frame
PAMPSpathogen-associated molecular patterns
PCTPlateletcrit
PIMS-TSPediatric Inflammatory Syndrome temporally associated with SARS-CoV-2 infection
PM10Inhalable particulate matter 10 μm or smaller
PM25fine inhalable particles less than or equal to 2.5 μm in diameter
RBP3retinol-binding protein 3
SAESerious adverse event
SARS-CoV-2Severe acute respiratory syndrome coronavirus 2
sCD14Soluble CD14 protein
SMAD3Mothers against decapentaplegic homolog 3
SMAD5Mothers against decapentaplegic homolog 5
SO2Sulfur dioxide
T-cellT lymphocyte
TCRBV2T-cell receptor Beta-chain V2
TCRBV6T-cell receptor Beta-chain V6
TGF-betaTransforming growth factor-beta
TGFBR2Transforming growth factor-beta receptor type 2
TLRToll-like receptor
VAERSVaccine Adverse Event Reporting System

References

  1. McCrindle, B.W.; Rowley, A.H.; Newburger, J.W.; Burns, J.C.; Bolger, A.F.; Gewitz, M.; Baker, A.L.; Jackson, M.A.; Takahashi, M.; Shah, P.B.; et al. Diagnosis, Treatment, and Long-Term Management of Kawasaki Disease: A Scientific Statement for Health Professionals from the American Heart Association. Circulation 2017, 135, e927–e999, Correction in Circulation 2019, 140, 5. https://doi.org/10.1161/CIR.0000000000000703. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  2. Rife, E.; Gedalia, A. Kawasaki Disease: An Update. Curr. Rheumatol. Rep. 2020, 22, 75. [Google Scholar] [CrossRef] [Scilit]
  3. Bayer. 28 June 2024. Available online: https://www.bayer.com/sites/default/files/2020-11/aspirin-pm-en.pdf (accessed on 25 May 2025).
  4. Lamrani, L.; Manlhiot, C.; Elias, M.D.; Choueiter, N.F.; Dionne, A.; Harahsheh, A.S.; Portman, M.A.; McCrindle, B.W.; Dahdah, N. Kawasaki Disease Shock Syndrome vs Classical Kawasaki Disease: A Meta-analysis and Comparison with SARS-CoV-2 Multisystem Inflammatory Syndrome. Can. J. Cardiol. 2021, 37, 1619–1628. [Google Scholar] [CrossRef] [Scilit]
  5. Embil, J.A.; McFarlane, E.S.; Murphy, D.M.; Krause, V.W.; Stewart, H.B. Adenovirus type 2 isolated from a patient with fatal Kawasaki disease. Can. Med. Assoc. J. 1985, 132, 1400. [Google Scholar] [PubMed]
  6. Chang, L.-Y.; Lu, C.-Y.; Shao, P.-L.; Lee, P.-I.; Lin, M.-T.; Fan, T.-Y.; Cheng, A.-L.; Lee, W.-L.; Hu, J.-J.; Yeh, S.-J.; et al. Viral infections associated with Kawasaki disease. J. Formos. Med. Assoc. 2014, 113, 148–154. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  7. Catalano-Pons, C.; Giraud, C.; Rozenberg, F.; Meritet, J.-F.; Lebon, P.; Gendrel, D. Detection of human bocavirus in children with Kawasaki disease. Clin. Microbiol. Infect. 2007, 13, 1220–1222. [Google Scholar] [CrossRef] [Scilit]
  8. Shirato, K.; Imada, Y.; Kawase, M.; Nakagaki, K.; Matsuyama, S.; Taguchi, F. Possible involvement of infection with human coronavirus 229E, but not NL63, in Kawasaki disease. J. Med. Virol. 2014, 86, 2146–2153. [Google Scholar] [CrossRef] [Scilit]
  9. Esper, F.; Weibel, C.; Ferguson, D.; Landry, M.L.; Kahn, J.S. Evidence of a Novel Human Coronavirus That Is Associated with Respiratory Tract Disease in Infants and Young Children. J. Infect. Dis. 2005, 191, 492–498. [Google Scholar] [CrossRef] [Scilit]
  10. Catalano-Pons, C.; Quartier, P.; Leruez-Ville, M.; Kaguelidou, F.; Gendrel, D.; Lenoir, G.; Casanova, J.-L.; Bonnet, D. Primary Cytomegalovirus Infection, Atypical Kawasaki Disease, and Coronary Aneurysms in 2 Infants. Clin. Infect. Dis. 2005, 41, e53–e56. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  11. Jagadeesh, A.; Krishnamurthy, S.; Mahadevan, S. Kawasaki Disease in a 2-year-old Child with Dengue Fever. Indian J. Pediatr. 2016, 83, 602–603. [Google Scholar] [CrossRef] [Scilit]
  12. Sopontammarak, S.; Promphan, W.; Roymanee, S.; Phetpisan, S. Positive Serology for Dengue Viral Infection in Pediatric Patients with Kawasaki Disease in Southern Thailand. Circ. J. 2008, 72, 1492–1494. [Google Scholar] [CrossRef] [Scilit]
  13. Weng, K.-P.; Cheng-Chung Wei, J.; Hung, Y.-M.; Huang, S.-H.; Chien, K.-J.; Lin, C.-C.; Huang, S.-M.; Lin, C.-L.; Cheng, M.-F. Enterovirus Infection and Subsequent Risk of Kawasaki Disease: A Population-based Cohort Study. Pediatr. Infect. Dis. J. 2018, 37, 310–315. [Google Scholar] [CrossRef] [Scilit]
  14. Kikuta, H.; Nakanishi, M.; Ishikawa, N.; Konno, M.; Matsumoto, S. Detection of Epstein-Barr Virus Sequences in Patients with Kawasaki Disease by Means of the Polymerase Chain Reaction. Intervirology 1992, 33, 1–5. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  15. Okano, M.; Luka, J.; Thiele, G.M.; Sakiyama, Y.; Matsumoto, S.; Purtilo, D.T. Human herpesvirus 6 infection and Kawasaki disease. J. Clin. Microbiol. 1989, 27, 2379–2380. [Google Scholar] [CrossRef] [Scilit]
  16. Okano, M. Kawasaki Disease and Human Lymphotropic Virus Infection. Curr. Med. Res. Opin. 1999, 15, 129–134. [Google Scholar] [CrossRef] [Scilit]
  17. Joshi, A.V.; Jones, K.D.J.; Buckley, A.-M.; Coren, M.E.; Kampmann, B. Kawasaki disease coincident with influenza A H1N1/09 infection. Pediatr. Int. Off. J. Jpn. Pediatr. Soc. 2011, 53, e1–e2. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  18. Whitby, D.; Hoad, J.G.; Tizard, E.J.; Dillon, M.J.; Weber, J.N.; Weiss, R.A.; Schulz, T.F. Isolation of measles virus from child with Kawasaki disease. Lancet 1991, 338, 1215. [Google Scholar] [CrossRef] [Scilit]
  19. Holm, J.M.; Hansen, L.K.; Oxhøj, H. Kawasaki disease associated with parvovirus B19 infection. Eur. J. Pediatr. 1995, 154, 633–634. [Google Scholar] [CrossRef] [PubMed]
  20. Nigro, G.; Krzysztofiak, A.; Porcaro, M.A.; Mango, T.; Zerbini, M.; Gentilomi, G.; Musiani, M. Active or recent parvovirus B19 infection in children with Kawasaki disease. Lancet 1994, 343, 1260–1261. [Google Scholar] [CrossRef] [Scilit]
  21. Keim, D.E.; Keller, E.W.; Hirsch, M.S. Mucocutaneous lymph-node syndrome and parainfluenza 2 virus infection. Lancet 1977, 310, 303. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  22. Kim, G.B.; Park, S.; Kwon, B.S.; Han, J.W.; Park, Y.W.; Hong, Y.M. Evaluation of the Temporal Association between Kawasaki Disease and Viral Infections in South Korea. Korean Circ. J. 2014, 44, 250–254. [Google Scholar] [CrossRef] [Scilit]
  23. Matsuno, S.; Utagawa, E.; Sugiura, A. Association of Rotavirus Infection with Kawasaki Syndrome. J. Infect. Dis. 1983, 148, 177. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  24. Ogboli, M.I.; Parslew, R.; Verbov, J.; Smyth, R. Kawasaki disease associated with varicella: A rare association. Br. J. Dermatol. 1999, 141, 1136–1152. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  25. Kossiva, L.; Papadopoulos, M.; Lagona, E.; Papadopoulos, G.; Athanassaki, C. Myocardial infarction in a 35-day-old infant with incomplete Kawasaki disease and chicken pox. Cardiol. Young 2010, 20, 567–570. [Google Scholar] [CrossRef] [Scilit]
  26. Thissen, J.B.; Isshiki, M.; Jaing, C.; Nagao, Y.; Lebron Aldea, D.; Allen, J.E.; Izui, M.; Slezak, T.R.; Ishida, T.; Sano, T. A novel variant of torque teno virus 7 identified in patients with Kawasaki disease. PLoS ONE 2018, 13, e0209683. [Google Scholar] [CrossRef] [Scilit]
  27. Hall, M.; Hoyt, L.; Ferrieri, P.; Schlievert, P.M.; Jenson, H.B. Kawasaki Syndrome-Like Illness Associated with Infection Caused by Enterotoxin B-Secreting Staphylococcus aureus. Clin. Infect. Dis. 1999, 29, 586–589. [Google Scholar] [CrossRef] [Scilit]
  28. Shinomiya, N.; Takeda, T.; Kuratsugi, T.; Takagi, K.; Kosaka, T.; Tatsuzawa, O.; Tsurumizu, T.; Hashimoto, T.; Kobayashi, N. Variant Streptococcus sanguis as an etiological agent of Kawasaki disease. Prog. Clin. Biol. Res. 1987, 250, 571–572. [Google Scholar]
  29. Leung, D.Y.M.; Kotzin, B.L.; Meissner, H.C.; Fulton, R.D.; Murray, D.L.; Schlievert, P.M. Toxic shock syndrome toxin-secreting Staphylococcus aureus in Kawasaki syndrome. Lancet 1993, 342, 1385–1388. [Google Scholar] [CrossRef] [Scilit]
  30. Matsubara, K.; Fukaya, T.; Miwa, K.; Shibayama, N.; Nigami, H.; Harigaya, H.; Nozaki, H.; Hirata, T.; Baba, K.; Suzuki, T.; et al. Development of serum IgM antibodies against superantigens of Staphylococcus aureus and Streptococcus pyogenes in Kawasaki disease. Clin. Exp. Immunol. 2006, 143, 427–434. [Google Scholar] [CrossRef] [Scilit]
  31. Yoshioka; Matsutani; Iwagami; Toyosaki-Maeda; Yutsudo; Tsuruta; Suzuki; Uemura; Takeuchi; Koike; et al. Polyclonal expansion of TCRBV2- and TCRBV6-bearing T cells in patients with Kawasaki disease. Immunology 1999, 96, 465–472. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  32. Kusuda, T.; Nakashima, Y.; Murata, K.; Kanno, S.; Nishio, H.; Saito, M.; Tanaka, T.; Yamamura, K.; Sakai, Y.; Takada, H.; et al. Kawasaki Disease-Specific Molecules in the Sera Are Linked to Microbe-Associated Molecular Patterns in the Biofilms. PLoS ONE 2014, 9, e113054. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  33. Kang, J.-M.; Jung, J.; Kim, Y.-E.; Huh, K.; Hong, J.; Kim, D.W.; Kim, M.Y.; Jung, S.Y.; Kim, J.-H.; Ahn, J.G. Temporal Correlation Between Kawasaki Disease and Infectious Diseases in South Korea. JAMA Netw. Open 2022, 5, e2147363. [Google Scholar] [CrossRef] [Scilit]
  34. Dean, A.G.; Melish, M.E.; Hicks, R.; Palumbo, N.E. An epidemic of Kawasaki syndrome in Hawaii. J. Pediatr. 1982, 100, 552–557. [Google Scholar] [CrossRef] [Scilit]
  35. Han, X.-Y.; Qi, H.-R. Pyroptosis in Kawasaki disease: From mechanisms to targeted interventions. Front. Immunol. 2025, 16, 1566985. [Google Scholar] [CrossRef] [Scilit]
  36. Jia, C.; Zhang, J.; Chen, H.; Zhuge, Y.; Chen, H.; Qian, F.; Zhou, K.; Niu, C.; Wang, F.; Qiu, H.; et al. Endothelial cell pyroptosis plays an important role in Kawasaki disease via HMGB1/RAGE/cathespin B signaling pathway and NLRP3 inflammasome activation. Cell Death Dis. 2019, 10, 778. [Google Scholar] [CrossRef] [Scilit]
  37. DeHaan, L.L.; Copeland, C.D.; Burney, J.A.; Nakamura, Y.; Yashiro, M.; Shimizu, C.; Miyata, K.; Burns, J.C.; Cayan, D.R. Age-Dependent Variations in Kawasaki Disease Incidence in Japan. JAMA Netw. Open 2024, 7, e2355001. [Google Scholar] [CrossRef] [Scilit]
  38. Ae, R.; Shibata, Y.; Kosami, K.; Nakamura, Y.; Hamada, H. Kawasaki Disease and Pediatric Infectious Diseases During the Coronavirus Disease 2019 Pandemic. J. Pediatr. 2021, 239, 50–58.e2. [Google Scholar] [CrossRef] [Scilit]
  39. Burney, J.A.; Roberts, S.C.; DeHaan, L.L.; Shimizu, C.; Bainto, E.V.; Newburger, J.W.; Dominguez, S.; Jone, P.-N.; Jaggi, P.; Szmuszkovicz, J.R.; et al. Epidemiological and Clinical Features of Kawasaki Disease During the COVID-19 Pandemic in the United States. JAMA Netw. Open 2022, 5, e2217436. [Google Scholar] [CrossRef] [Scilit]
  40. Schmöeller, D.; Keiserman, M.W.; Staub, H.L.; Velho, F.P.; de Fátima Grohe, M. Yellow Fever Vaccination and Kawasaki Disease. Pediatr. Infect. Dis. J. 2009, 28, 1037–1038. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  41. Ece, I.; Akbayram, S.; Demiroren, K.; Uner, A. Is Kawasaki Disease a Side Effect of Vaccination as Well? J. Vaccines Vaccin 2014, 5, 234. [Google Scholar]
  42. Banday, A.Z.; Patra, P.K.; Jindal, A.K. Kawasaki disease—When Bacillus Calmette–Guérin (BCG) lymphadenitis blooms again and the vaccination site peels off! Int. J. Dermatol. 2021, 60, e233–e234. [Google Scholar] [CrossRef] [Scilit]
  43. Alsager, K.; Khatri Vadlamudi, N.; Jadavji, T.; Bettinger, J.A.; Constantinescu, C.; Vaudry, W.; Tan, B.; Sauvé, L.; Sadarangani, M.; Halperin, S.A.; et al. Kawasaki disease following immunization reported to the Canadian Immunization Monitoring Program ACTive (IMPACT) from 2013 to 2018. Hum. Vaccines Immunother. 2022, 18, 2088215. [Google Scholar] [CrossRef] [Scilit]
  44. Hall, G.C.; Tulloh, R.M.; Tulloh, L.E. The incidence of Kawasaki disease after vaccination within the UK pre-school National Immunisation Programme: An observational THIN database study. Pharmacoepidemiol. Drug Saf. 2016, 25, 1331–1336. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  45. Chang, A.; Islam, S. Kawasaki disease and vasculitis associated with immunization. Pediatr. Int. 2018, 60, 613–617. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  46. Miron, D.; Fink, D.; Hashkes, P.J. Kawasaki disease in an infant following immunisation with hepatitis B vaccine. Clin. Rheumatol. 2003, 22, 461–463. [Google Scholar] [CrossRef] [Scilit]
  47. Jeong, S.W.; Kim, D.H.; Han, M.Y.; Cha, S.-H.; Yoon, K.L. An infant presenting with Kawasaki disease following immunization for influenza: A case report. Biomed. Rep. 2018, 8, 301–303. [Google Scholar] [CrossRef] [Scilit]
  48. Kraszewska-Głomba, B.; Kuchar, E.; Szenborn, L. Three episodes of Kawasaki disease including one after the Pneumo 23 vaccine in a child with a family history of Kawasaki disease. J. Formos. Med. Assoc. 2016, 115, 885–886. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  49. Shimada, S.; Watanabe, T.; Sato, S. A Patient with Kawasaki Disease Following Influenza Vaccinations. Pediatr. Infect. Dis. J. 2015, 34, 913. [Google Scholar] [CrossRef] [Scilit]
  50. Shi, Y.; Peng, L.; Wan, X. The first case of Kawasaki disease in a 20-month old baby following immunization with rotavirus vaccine and hepatitis A vaccine in China: A case report. Hum. Vaccines Immunother. 2015, 11, 2740–2743. [Google Scholar] [CrossRef] [Scilit]
  51. Matsubara, D.; Minami, T.; Seki, M.; Tamura, D.; Yamagata, T. Occurrence of Kawasaki disease after simultaneous immunization. Pediatr. Int. 2019, 61, 1171–1173. [Google Scholar] [CrossRef] [Scilit]
  52. Huang, W.-T.; Juan, Y.-C.; Liu, C.-H.; Yang, Y.-Y.; Chan, K.A. Intussusception and Kawasaki disease after rotavirus vaccination in Taiwanese infants. Vaccine 2020, 38, 6299–6303. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  53. Showers, C.R.; Maurer, J.M.; Khakshour, D.; Shukla, M. Case of adult-onset Kawasaki disease and multisystem inflammatory syndrome following SARS-CoV-2 vaccination. BMJ Case Rep. 2022, 15, e249094. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  54. Peralta-Amaro, A.L.; Tejada-Ruiz, M.I.; Rivera-Alvarado, K.L.; Cobos-Quevedo, O.D.; Romero-Hernández, P.; Macías-Arroyo, W.; Avendaño-Ponce, A.; Hurtado-Díaz, J.; Vera-Lastra, O.; Lucas-Hernández, A. Atypical Kawasaki Disease after COVID-19 Vaccination: A New Form of Adverse Event Following Immunization. Vaccines 2022, 10, 126. [Google Scholar] [CrossRef] [Scilit]
  55. Kinumaki, A.; Sekizuka, T.; Hamada, H.; Kato, K.; Yamashita, A.; Kuroda, M. Characterization of the gut microbiota of Kawasaki disease patients by metagenomic analysis. Front. Microbiol. 2015, 6, 824. [Google Scholar] [CrossRef] [Scilit]
  56. Esposito, S.; Polinori, I.; Rigante, D. The Gut Microbiota-Host Partnership as a Potential Driver of Kawasaki Syndrome. Front. Pediatr. 2019, 7, 124. [Google Scholar] [CrossRef] [Scilit]
  57. Burney, J.A.; DeHaan, L.L.; Shimizu, C.; Bainto, E.V.; Newburger, J.W.; DeBiasi, R.L.; Dominguez, S.R.; Portman, M.A.; Melish, M.; Bratincsak, A.; et al. Temporal clustering of Kawasaki disease cases around the world. Sci. Rep. 2021, 11, 22584. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  58. Rodó, X.; Curcoll, R.; Robinson, M.; Ballester, J.; Burns, J.C.; Cayan, D.R.; Lipkin, W.I.; Williams, B.L.; Couto-Rodriguez, M.; Nakamura, Y.; et al. Tropospheric winds from northeastern China carry the etiologic agent of Kawasaki disease from its source to Japan. Proc. Natl. Acad. Sci. USA 2014, 111, 7952–7957. [Google Scholar] [CrossRef] [Scilit]
  59. Kuo, N.-C.; Lin, C.-H.; Lin, M.-C. Prenatal and early life exposure to air pollution and the incidence of Kawasaki disease. Sci. Rep. 2022, 12, 3415. [Google Scholar] [CrossRef] [Scilit]
  60. Jung, C.R.; Chen, W.T.; Lin, Y.T.; Hwang, B.F. Ambient Air Pollutant Exposures and Hospitalization for Kawasaki Disease in Taiwan: A Case-Crossover Study (2000–2010). Environ. Health Perspect. 2017, 125, 670–676. [Google Scholar] [CrossRef] [Scilit]
  61. Kwon, D.; Choe, Y.J.; Kim, S.; Chun, B.C.; Choe, S. Ambient Air Pollution and Kawasaki Disease in Korean Children: A Study of the National Health Insurance Claim Data. J. Am. Heart Assoc. 2022, 11, e024092. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  62. Yoneda, K.; Shinjo, D.; Takahashi, N.; Fushimi, K. Spatiotemporal analysis of the association between Kawasaki disease incidence and PM2.5 exposure: A nationwide database study in Japan. BMJ Paediatr. Open 2024, 8, e002887. [Google Scholar] [CrossRef] [Scilit]
  63. Celis-Seposo, A.K.; Madaniyazi, L.; Seposo, X.; Hashizume, M.; Yoshida, L.M.; Toizumi, M. Incidence and seasonality of Kawasaki disease in children in the Philippines, and its association with ambient air temperature. Front. Pediatr. 2024, 12, 1358638. [Google Scholar] [CrossRef] [Scilit]
  64. Yang, Y.; Zhang, Y.; Zheng, F.; Guo, Y.; Wang, X.; Meng, H.; Min, L.; Hu, X. Research on the Influence of Air Pollutants and Meteorological Factors on Kawasaki Disease. Aerosol Air Qual. Res. 2025, 25, 9. [Google Scholar] [CrossRef] [Scilit]
  65. Yang, P.; Zhang, J.; Zhang, K.; Zhang, D.; Liu, Y.; Wu, J.; Wei, Y.; Feng, S.; Yi, Q. Prenatal and Postnatal Ambient Air Pollution and Kawasaki Disease. JACC Adv. 2025, 4, 101651. [Google Scholar] [CrossRef] [Scilit]
  66. Elouardi, Y.; Rebahi, H.; Zarrouki, Y.; Ziadi, A.; Younous, S.; Samkaoui, M.A. COVID-19 associated Kawasaki-like multisystem inflammatory syndrome in an adult. Rev. Esp. Anestesiol. Reanim. Engl. Ed. 2022, 69, 43–47. [Google Scholar] [CrossRef] [Scilit]
  67. Sharma, C.; Ganigara, M.; Galeotti, C.; Burns, J.; Berganza, F.M.; Hayes, D.A.; Singh-Grewal, D.; Bharath, S.; Sajjan, S.; Bayry, J. Multisystem inflammatory syndrome in children and Kawasaki disease: A critical comparison. Nat. Rev. Rheumatol. 2021, 17, 731–748. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  68. Cattalini, M.; Della Paolera, S.; Zunica, F.; Bracaglia, C.; Giangreco, M.; Verdoni, L.; Meini, A.; Sottile, R.; Caorsi, R.; Zuccotti, G.; et al. Defining Kawasaki disease and pediatric inflammatory multisystem syndrome-temporally associated to SARS-CoV-2 infection during SARS-CoV-2 epidemic in Italy: Results from a national, multicenter survey. Pediatr. Rheumatol. 2021, 19, 29. [Google Scholar] [CrossRef] [Scilit]
  69. Loke, Y.-H.; Berul, C.I.; Harahsheh, A.S. Multisystem inflammatory syndrome in children: Is there a linkage to Kawasaki disease? Trends Cardiovasc. Med. 2020, 30, 389–396. [Google Scholar] [CrossRef] [Scilit]
  70. Darby, J.B.; Jackson, J.M. Kawasaki Disease and Multisystem Inflammatory Syndrome in Children: An Overview and Comparison. Am. Fam. Physician 2021, 104, 244–252. [Google Scholar] [PubMed]
  71. Cannon, L.; Campbell, M.J.; Wu, E.Y. Multisystem Inflammatory Syndrome in Children and Kawasaki Disease: Parallels in Pathogenesis and Treatment. Curr. Allergy Asthma Rep. 2023, 23, 341–350. [Google Scholar] [CrossRef] [Scilit]
  72. Walton, M.; Raghuveer, G.; Harahsheh, A.; Portman, M.A.; Lee, S.; Khoury, M.; Dahdah, N.; Fabi, M.; Dionne, A.; Harris, T.H.; et al. Cardiac Biomarkers Aid in Differentiation of Kawasaki Disease from Multisystem Inflammatory Syndrome in Children Associated with COVID-19. Pediatr. Cardiol. 2025, 46, 116–126. [Google Scholar] [CrossRef] [Scilit]
  73. Rivas, M.N.; Arditi, M. Kawasaki Disease and Multisystem Inflammatory Syndrome in Children: Common Inflammatory Pathways of Two Distinct Diseases. Vasculitis 2023, 49, 647–659. [Google Scholar] [CrossRef] [Scilit]
  74. Suzuki, J.; Abe, K.; Matsui, T.; Honda, T.; Yasukawa, K.; Takanashi, J.; Hamada, H. Kawasaki Disease Shock Syndrome in Japan and Comparison with Multisystem Inflammatory Syndrome in Children in European Countries. Front. Pediatr. 2021, 9, 625456. [Google Scholar] [CrossRef] [Scilit]
  75. Lee, S.; Harahsheh, A.S.; Raghuveer, G.; Portman, M.A.; Sabati, A.A.; Khoury, M.; Dahdah, N.; Fabi, M.; Jain, S.S.; Dionne, A.; et al. Spectrum of Coronary Artery Involvement with Multisystem Inflammatory Syndrome in Children Versus Kawasaki Disease. J. Am. Heart Assoc. 2025, 14, e037761. [Google Scholar] [CrossRef] [Scilit]
  76. Weiler, C.R.; Austen, K.F.; Akin, C.; Barkoff, M.S.; Bernstein, J.A.; Bonadonna, P.; Butterfield, J.H.; Carter, M.; Fox, C.C.; Maitland, A.; et al. AAAAI Mast Cell Disorders Committee Work Group Report: Mast cell activation syndrome (MCAS) diagnosis and management. J. Allergy Clin. Immunol. 2019, 144, 883–896. [Google Scholar] [CrossRef] [Scilit]
  77. Vignesh, P.; Rawat, A.; Shandilya, J.K.; Singh Sachdeva, M.U.; Ahluwalia, J.; Singh, S. Monocyte platelet aggregates in children with Kawasaki disease- a preliminary study from a tertiary care centre in North-West India. Pediatr. Rheumatol. 2021, 19, 25. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  78. Kim, S.H.; Hwang, I.J.; Cho, Y.K. Platelet Indices as Diagnostic Marker for Kawasaki Disease. Chonnam Med. J. 2022, 58, 110–118. [Google Scholar] [CrossRef] [Scilit]
  79. Souni, G.; Ayad, G.; Elouali, A.; Rkain, M.; Babakhouya, A. Severe Kawasaki Disease and Thrombocytopenia: A Case Report. Cureus 2023, 15, e42916. [Google Scholar] [CrossRef] [Scilit]
  80. Beken, B.; Unal, S.; Cetin, M.; Gümrük, F. The relationship between hematological findings and coronary artery aneurysm in kawasaki disease. Turk. J. Haematol. 2014, 31, 199–200. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  81. Kocatürk, B.; Lee, Y.; Nosaka, N.; Abe, M.; Martinon, D.; Lane, M.E.; Moreira, D.; Chen, S.; Fishbein, M.C.; Porritt, R.A.; et al. Platelets exacerbate cardiovascular inflammation in a murine model of Kawasaki disease vasculitis. J. Clin. Investig. Insight 2023, 8, e169855. [Google Scholar] [CrossRef] [Scilit]
  82. Ricke, D.O.; Smith, N. VAERS Vasculitis Adverse Events Retrospective Study: Etiology Model of Immune Complexes Activating Fc Receptors in Kawasaki Disease and Multisystem Inflammatory Syndromes. Life 2024, 14, 353. [Google Scholar] [CrossRef] [Scilit]
  83. Zhang, H.; Xiao, M.; Zhou, D.; Yan, F.; Zhang, Y. Platelet and ferritin as early predictive factors for the development of macrophage activation syndrome in children with Kawasaki disease: A retrospective case-control study. Front. Pediatr. 2023, 11, 1088525. [Google Scholar] [CrossRef] [Scilit]
  84. VAERS. Vaccine Adverse Event Reporting System; U.S. Department of Health & Human Services: Washington, DC, USA, 2025. [Google Scholar]
  85. Ricke, D.O. VAERS-Tools 2025. Available online: https://github.com/doricke/VAERS-Tools (accessed on 30 January 2026).
  86. Chis Square Calculator for 2 × 2. 2025. Available online: https://www.socscistatistics.com/tests/chisquare/ (accessed on 1 March 2026).
  87. Gupta, K.; Subramanian, H.; Ali, H. Modulation of host defense peptide-mediated human mast cell activation by LPS. Innate Immun. 2016, 22, 21–30. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  88. Schwarz, H.; Gornicec, J.; Neuper, T.; Parigiani, M.A.; Wallner, M.; Duschl, A.; Horejs-Hoeck, J. Biological Activity of Masked Endotoxin. Sci. Rep. 2017, 7, 44750. [Google Scholar] [CrossRef] [Scilit]
  89. Petruk, G.; Puthia, M.; Petrlova, J.; Samsudin, F.; Strömdahl, A.-C.; Cerps, S.; Uller, L.; Kjellström, S.; Bond, P.J.; Schmidtchen, A. SARS-CoV-2 spike protein binds to bacterial lipopolysaccharide and boosts proinflammatory activity. J. Mol. Cell Biol. 2020, 12, 916–932. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  90. Samsudin, F.; Raghuvamsi, P.; Petruk, G.; Puthia, M.; Petrlova, J.; MacAry, P.; Anand, G.S.; Bond, P.J.; Schmidtchen, A. SARS-CoV-2 spike protein as a bacterial lipopolysaccharide delivery system in an overzealous inflammatory cascade. J. Mol. Cell Biol. 2022, 14, mjac058. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  91. Ciesielska, A.; Matyjek, M.; Kwiatkowska, K. TLR4 and CD14 trafficking and its influence on LPS-induced pro-inflammatory signaling. Cell. Mol. Life Sci. 2021, 78, 1233–1261. [Google Scholar] [CrossRef] [Scilit]
  92. Nakamura, A.; Ikeda, K.; Hamaoka, K. Aetiological Significance of Infectious Stimuli in Kawasaki Disease. Front. Pediatr. 2019, 7, 244. [Google Scholar] [CrossRef] [Scilit]
  93. Mitsui, K.; Yusa, T.; Miyazaki, S.; Ohara, A.; Saji, T. Increased TLR2 and TLR4 Expression in Peripheral Neutrophils Isolated from Kawasaki Disease. Pediatr. Allergy Immunol. Pulmonol. 2014, 27, 24–29. [Google Scholar] [CrossRef] [Scilit]
  94. Takeshita, S.; Nakatani, K.; Tsujimoto, H.; Kawamura, Y.; Kawase, H.; Sekine, I. Incrased levels of circulating soluble CD14 in Kawasaki disease. Clin. Exp. Immunol. 2000, 119, 376–381. [Google Scholar] [CrossRef] [Scilit]
  95. Takeshita, S.; Tsujimoto, H.; Kawase, H.; Kawamura, Y.; Sekine, I. Increased Levels of Lipopolysaccharide Binding Protein in Plasma in Children with Kawasaki Disease. Clin. Diagn. Lab. Immunol. 2002, 9, 205–206. [Google Scholar] [CrossRef] [Scilit]
  96. Rice, J.B.; Stoll, L.L.; Li, W.-G.; Denning, G.M.; Weydert, J.; Charipar, E.; Richenbacher, W.E.; Miller, F.J.; Weintraub, N.L. Low-Level Endotoxin Induces Potent Inflammatory Activation of Human Blood Vessels. Arterioscler. Thromb. Vasc. Biol. 2003, 23, 1576–1582. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  97. Baker, A.L.; Lu, M.; Minich, L.L.; Atz, A.M.; Klein, G.L.; Korsin, R.; Lambert, L.; Li, J.S.; Mason, W.; Radojewski, E.; et al. Associated Symptoms in the Ten Days Before Diagnosis of Kawasaki Disease. J. Pediatr. 2009, 154, 592–595.e2. [Google Scholar] [CrossRef] [Scilit]
  98. Colomba, C.; La Placa, S.; Saporito, L.; Corsello, G.; Ciccia, F.; Medaglia, A.; Romanin, B.; Serra, N.; Di Carlo, P.; Cascio, A. Intestinal Involvement in Kawasaki Disease. J. Pediatr. 2018, 202, 186–193. [Google Scholar] [CrossRef] [Scilit]
  99. Tao, E.; Lang, D. Unraveling the gut: The pivotal role of intestinal mechanisms in Kawasaki disease pathogenesis. Front. Immunol. 2024, 15, 1496293. [Google Scholar] [CrossRef] [Scilit]
  100. Curtis, N.; Zheng, R.; Lamb, J.R.; Levin, M. Evidence for a superantigen mediated process in Kawasaki disease. Arch. Dis. Child. 1995, 72, 308. [Google Scholar] [CrossRef] [Scilit]
  101. Kaneko, K.; Akagawa, S.; Akagawa, Y.; Kimata, T.; Tsuji, S. Our Evolving Understanding of Kawasaki Disease Pathogenesis: Role of the Gut Microbiota. Front. Immunol. 2020, 11, 1616. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  102. Fabi, M.; Corinaldesi, E.; Pierantoni, L.; Mazzoni, E.; Landini, C.; Bigucci, B.; Ancora, G.; Malaigia, L.; Bodnar, T.; Di Fazzio, G.; et al. Gastrointestinal presentation of Kawasaki disease: A red flag for severe disease? PLoS ONE 2018, 13, e0202658. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  103. Fremont-Smith, M.; Gherlone, N.; Smith, N.; Tisdall, P.; Ricke, D.O. Models for COVID-19 Early Cardiac Pathology Following SARS-CoV-2 Infection. Int. J. Infect. Dis. 2021, 113, 331–335. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  104. Ricke, D.O.; Gherlone, N.; Fremont-Smith, P.; Tisdall, P.; Fremont-Smith, M. Kawasaki Disease, Multisystem Inflammatory Syndrome in Children: Antibody-Induced Mast Cell Activation Hypothesis. J. Pediatr. Pediatr. Med. 2020, 4, 1–7. [Google Scholar] [CrossRef] [Scilit]
  105. Ricke, D.O. Vaccine-associated Kawasaki disease in children. Microbes Immun. 2025, X, 025200044. [Google Scholar] [CrossRef] [Scilit]
  106. Ricke, D.O. Two Different Antibody-Dependent Enhancement (ADE) Risks for SARS-CoV-2 Antibodies. Front. Immunol. 2021, 12, 443. [Google Scholar] [CrossRef] [Scilit]
  107. Riollano-Cruz, M.; Akkoyun, E.; Briceno-Brito, E.; Kowalsky, S.; Reed, J.; Posada, R.; Sordillo, E.M.; Tosi, M.; Trachtman, R.; Paniz-Mondolfi, A. Multisystem inflammatory syndrome in children related to COVID-19: A New York City experience. J. Med. Virol. 2021, 93, 424–433. [Google Scholar] [CrossRef] [Scilit]
  108. Pereira, M.F.B.; Litvinov, N.; Farhat, S.C.L.; Eisencraft, A.P.; Gibelli, M.A.B.C.; de Carvalho, W.B.; Fernandes, V.R.; Fink, T.d.T.; Framil, J.V.d.S.; Galleti, K.V.; et al. Severe clinical spectrum with high mortality in pediatric patients with COVID-19 and multisystem inflammatory syndrome. Clin. Sao Paulo Braz. 2020, 75, e2209. [Google Scholar] [CrossRef] [Scilit]
  109. Torres, J.P.; Izquierdo, G.; Acuña, M.; Pavez, D.; Reyes, F.; Fritis, A.; González, R.; Rivacoba, C.; Contardo, V.; Tapia, L.I. Multisystem inflammatory syndrome in children (MIS-C): Report of the clinical and epidemiological characteristics of cases in Santiago de Chile during the SARS-CoV-2 pandemic. Int. J. Infect. Dis. 2020, 100, 75–81. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  110. Sahn, B.; Eze, O.P.; Edelman, M.C.; Chougar, C.E.; Thomas, R.M.; Schleien, C.L.; Weinstein, T. Features of Intestinal Disease Associated with COVID-Related Multisystem Inflammatory Syndrome in Children. J. Pediatr. Gastroenterol. Nutr. 2021, 72, 384–387. [Google Scholar] [CrossRef] [Scilit]
  111. Miller, J.; Cantor, A.; Zachariah, P.; Ahn, D.; Martinez, M.; Margolis, K.G. Gastrointestinal Symptoms as a Major Presentation Component of a Novel Multisystem Inflammatory Syndrome in Children That Is Related to Coronavirus Disease 2019: A Single Center Experience of 44 Cases. Gastroenterology 2020, 159, 1571–1574.e2. [Google Scholar] [CrossRef] [Scilit]
  112. Kofman, A.D.; Sizemore, E.K.; Detelich, J.F.; Albrecht, B.; Piantadosi, A.L. A young adult with COVID-19 and multisystem inflammatory syndrome in children (MIS-C)-like illness: A case report. BMC Infect. Dis. 2020, 20, 716. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  113. Tsilioni, I.; Theoharides, T.C. Recombinant SARS-CoV-2 Spike Protein Stimulates Secretion of Chymase, Tryptase, and IL-1β from Human Mast Cells, Augmented by IL-33. Int. J. Mol. Sci. 2023, 24, 9487. [Google Scholar] [CrossRef] [Scilit]
  114. Chang, L.-S.; Guo, M.M.-H.; Lo, M.-H.; Kuo, H.-C. Identification of increased expression of activating Fc receptors and novel findings regarding distinct IgE and IgM receptors in Kawasaki disease. Pediatr. Res. 2021, 89, 191–197. [Google Scholar] [CrossRef] [Scilit]
  115. Hrubisko, M.; Danis, R.; Huorka, M.; Wawruch, M. Histamine Intolerance—The More We Know the Less We Know. A Review. Nutrients 2021, 13, 2228. [Google Scholar] [CrossRef] [Scilit]
  116. Kovacova-Hanuskova, E.; Buday, T.; Gavliakova, S.; Plevkova, J. Histamine, histamine intoxication and intolerance. Allergol. Immunopathol. 2015, 43, 498–506. [Google Scholar] [CrossRef] [Scilit]
  117. Ricke, D.O. Etiology Scenarios for Multisystem Inflammatory Syndrome in Children and Adults Associated with SARS-CoV-2. J. Integr. Pediatr. Heal. 2021, 3, 32–36. [Google Scholar]
  118. Vikenes, K.; Farstad, M.; Nordrehaug, J.E. Serotonin Is Associated with Coronary Artery Disease and Cardiac Events. Circulation 1999, 100, 483–489. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  119. Golino, P.; Piscione, F.; Willerson, J.T.; Cappelli-Bigazzi, M.; Focaccio, A.; Villari, B.; Indolfi, C.; Russolillo, E.; Condorelli, M.; Chiariello, M. Divergent Effects of Serotonin on Coronary-Artery Dimensions and Blood Flow in Patients with Coronary Atherosclerosis and Control Patients. N.Engl. J. Med. 1991, 324, 641–648. [Google Scholar] [CrossRef] [Scilit]
  120. Liu, X.; Chen, Y.; Yang, Y.; Su, Z.; Wang, F.; Zhanghuang, C.; Wu, Y.; Zhang, X. Association between FGA gene polymorphisms and coronary artery lesion in Kawasaki disease. Front. Med. 2023, 10, 1193303. [Google Scholar] [CrossRef] [Scilit]
  121. Levick, S.P.; Meléndez, G.C.; Plante, E.; McLarty, J.L.; Brower, G.L.; Janicki, J.S. Cardiac mast cells: The centrepiece in adverse myocardial remodelling. Cardiovasc. Res. 2011, 89, 12–19. [Google Scholar] [CrossRef] [Scilit]
  122. Yonker, L.M.; Swank, Z.; Bartsch, Y.C.; Burns, M.D.; Kane, A.; Boribong, B.P.; Davis, J.P.; Loiselle, M.; Novak, T.; Senussi, Y.; et al. Circulating Spike Protein Detected in Post–COVID-19 mRNA Vaccine Myocarditis. Circulation 2023, 147, 867–876. [Google Scholar] [CrossRef] [Scilit]
  123. Bozkurt, B.; Kamat, I.; Hotez, P.J. Myocarditis with COVID-19 mRNA Vaccines. Circulation 2021, 144, 471–484. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  124. Avolio, E.; Carrabba, M.; Milligan, R.; Kavanagh Williamson, M.; Beltrami, A.P.; Gupta, K.; Elvers, K.T.; Gamez, M.; Foster, R.R.; Gillespie, K.; et al. The SARS-CoV-2 Spike protein disrupts human cardiac pericytes function through CD147 receptor-mediated signalling: A potential non-infective mechanism of COVID-19 microvascular disease. Clin. Sci. 2021, 135, 2667–2689, Correction in Clin. Sci. 2021, 135, 2667–2689. [Google Scholar] [CrossRef] [Scilit]
  125. Ricke, D.O. Cardiac adverse events post-vaccination. Brain Heart 2025, 3, 5747. [Google Scholar] [CrossRef] [Scilit]
  126. Shulman, S.T. Pediatric Coronavirus Disease-2019–Associated Multisystem Inflammatory Syndrome. J. Pediatr. Infect. Dis. Soc. 2020, 9, 285–286. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  127. Vella, L.A.; Rowley, A.H. Current Insights Into the Pathophysiology of Multisystem Inflammatory Syndrome in Children. Curr. Pediatr. Rep. 2021, 9, 83–92. [Google Scholar] [CrossRef] [Scilit]
  128. Rostad, C.A.; Chahroudi, A.; Mantus, G.; Lapp, S.A.; Teherani, M.; Macoy, L.; Tarquinio, K.M.; Basu, R.K.; Kao, C.; Linam, W.M.; et al. Quantitative SARS-CoV-2 Serology in Children with Multisystem Inflammatory Syndrome (MIS-C). Pediatrics 2020, 146, e2020018242. [Google Scholar] [CrossRef] [Scilit]
  129. Anderson, E.M.; Diorio, C.; Goodwin, E.C.; McNerney, K.O.; Weirick, M.E.; Gouma, S.; Bolton, M.J.; Arevalo, C.P.; Chase, J.; Hicks, P.; et al. Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) Antibody Responses in Children with Multisystem Inflammatory Syndrome in Children (MIS-C) and Mild and Severe Coronavirus Disease 2019 (COVID-19). J. Pediatr. Infect. Dis. Soc. 2021, 10, 669–673. [Google Scholar] [CrossRef] [Scilit]
  130. Gruber, C.N.; Patel, R.S.; Trachtman, R.; Lepow, L.; Amanat, F.; Krammer, F.; Wilson, K.M.; Onel, K.; Geanon, D.; Tuballes, K.; et al. Mapping Systemic Inflammation and Antibody Responses in Multisystem Inflammatory Syndrome in Children (MIS-C). Cell 2020, 183, 982–995.e14, Correction in Cell 2023, 186, 3325. [Google Scholar] [CrossRef] [Scilit]
  131. Moraleda, C.; Serna-Pascual, M.; Soriano-Arandes, A.; Simó, S.; Epalza, C.; Santos, M.; Grasa, C.; Rodríguez, M.; Soto, B.; Gallego, N.; et al. Multi-inflammatory Syndrome in Children Related to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Spain. Clin. Infect. Dis. 2021, 72, e397–e401. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  132. Grazioli, S.; Tavaglione, F.; Torriani, G.; Wagner, N.; Rohr, M.; L’Huillier, A.G.; Leclercq, C.; Perrin, A.; Bordessoule, A.; Beghetti, M.; et al. Immunological Assessment of Pediatric Multisystem Inflammatory Syndrome Related to Coronavirus Disease 2019. J. Pediatr. Infect. Dis. Soc. 2021, 10, 706–713. [Google Scholar] [CrossRef] [Scilit]
  133. Cirks, B.T.; Rowe, S.J.; Jiang, S.Y.; Brooks, R.M.; Mulreany, M.P.; Hoffner, W.; Jones, O.Y.; Hickey, P.W. Sixteen Weeks Later: Expanding the Risk Period for Multisystem Inflammatory Syndrome in Children. J. Pediatr. Infect. Dis. Soc. 2021, 10, 686–690. [Google Scholar] [CrossRef] [Scilit]
  134. Al Ameer, H.H.; AlKadhem, S.M.; Busaleh, F.; AlKhwaitm, S.; Llaguno, M.B.B. Multisystem Inflammatory Syndrome in Children Temporally Related to COVID-19: A Case Report from Saudi Arabia. Cureus 2020, 12, e10589. [Google Scholar] [CrossRef] [Scilit]
  135. Abbas, M.; Törnhage, C.-J. Family Transmission of COVID-19 Including a Child with MIS-C and Acute Pancreatitis. Int. Med. Case Rep. J. 2021, 14, 55–65. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  136. Bartsch, Y.C.; Wang, C.; Zohar, T.; Fischinger, S.; Atyeo, C.; Burke, J.S.; Kang, J.; Edlow, A.G.; Fasano, A.; Baden, L.R.; et al. Humoral signatures of protective and pathological SARS-CoV-2 infection in children. Nat. Med. 2021, 27, 454–462. [Google Scholar] [CrossRef] [Scilit]
  137. Clouser, K.; Baer, A.; Bhavsar, S.; Gadhavi, J.; Li, S.; Schnall, J.; Weiss, J.E. MIS-C After ARDS Associated with SARS-CoV-2. Pediatr. Infect. Dis. J. 2020, 39, e363–e365. [Google Scholar] [CrossRef] [Scilit]
  138. Onouchi, Y.; Gunji, T.; Burns, J.C.; Shimizu, C.; Newburger, J.W.; Yashiro, M.; Nakamura, Y.; Yanagawa, H.; Wakui, K.; Fukushima, Y.; et al. ITPKC functional polymorphism associated with Kawasaki disease susceptibility and formation of coronary artery aneurysms. Nat. Genet. 2008, 40, 35–42. [Google Scholar] [CrossRef] [Scilit]
  139. Kuo, H.-C.; Hsu, Y.-W.; Wu, C.-M.; Chen, S.H.-Y.; Hung, K.-S.; Chang, W.-P.; Yang, K.D.; Hsieh, K.-S.; Chen, W.-C.; Onouchi, Y.; et al. A Replication Study for Association of ITPKC and CASP3 Two-Locus Analysis in IVIG Unresponsiveness and Coronary Artery Lesion in Kawasaki Disease. PLoS ONE 2013, 8, e69685. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  140. Onouchi, Y.; Ozaki, K.; Buns, J.C.; Shimizu, C.; Hamada, H.; Honda, T.; Terai, M.; Honda, A.; Takeuchi, T.; Shibuta, S.; et al. Common variants in CASP3 confer susceptibility to Kawasaki disease. Hum. Mol. Genet. 2010, 19, 2898–2906. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  141. Kim, J.; Shimizu, C.; Kingsmore, S.F.; Veeraraghavan, N.; Levy, E.; Ribeiro dos Santos, A.M.; Yang, H.; Flatley, J.; Hoang, L.T.; Hibberd, M.L.; et al. Whole genome sequencing of an African American family highlights toll like receptor 6 variants in Kawasaki disease susceptibility. PLoS ONE 2017, 12, e0170977. [Google Scholar] [CrossRef] [Scilit]
  142. Khor, C.C.; Davila, S.; Breunis, W.B.; Lee, Y.-C.; Shimizu, C.; Wright, V.J.; Yeung, R.S.M.; Tan, D.E.K.; Sim, K.S.; Wang, J.J.; et al. Genome-wide association study identifies FCGR2A as a susceptibility locus for Kawasaki disease. Nat. Genet. 2011, 43, 1241–1246. [Google Scholar] [CrossRef] [Scilit]
  143. Duan, J.; Lou, J.; Zhang, Q.; Ke, J.; Qi, Y.; Shen, N.; Zhu, B.; Zhong, R.; Wang, Z.; Liu, L.; et al. A Genetic Variant rs1801274 in FCGR2A as a Potential Risk Marker for Kawasaki Disease: A Case-Control Study and Meta-Analysis. PLoS ONE 2014, 9, e103329. [Google Scholar] [CrossRef] [Scilit]
  144. Sim, B.K.; Park, H.; Kim, J.-J.; Yun, S.W.; Yu, J.J.; Yoon, K.L.; Lee, K.-Y.; Kil, H.-R.; Kim, G.B.; Han, M.-K.; et al. Assessment of the Clinical Heterogeneity of Kawasaki Disease Using Genetic Variants of BLK and FCGR2A. Korean Circ. J. 2019, 49, 99–108. [Google Scholar] [CrossRef] [Scilit]
  145. Kuo, H.-C.; Hsu, Y.-W.; Wu, M.-S.; Woon, P.Y.; Wong, H.S.-C.; Tsai, L.-J.; Lin, R.-K.; Klahan, S.; Hsieh, K.-S.; Chang, W.-C. FCGR2A Promoter Methylation and Risks for Intravenous Immunoglobulin Treatment Responses in Kawasaki Disease. Mediat. Inflamm. 2015, 2015, 564625. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  146. Cariaso, M.; Lennon, G. SNPedia: A wiki supporting personal genome annotation, interpretation and analysis. Nucleic Acids Res. 2012, 40, D1308–D1312. [Google Scholar] [CrossRef] [Scilit]
  147. Kwon, Y.-C.; Kim, J.-J.; Yun, S.W.; Yu, J.J.; Yoon, K.L.; Lee, K.-Y.; Kil, H.-R.; Kim, G.B.; Han, M.-K.; Song, M.S.; et al. Male-specific association of the FCGR2A His167Arg polymorphism with Kawasaki disease. PLoS ONE 2017, 12, e0184248. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  148. Onouchi, Y. Molecular Genetics of Kawasaki Disease. Pediatr. Res. 2009, 65, 46–54. [Google Scholar] [CrossRef] [Scilit]
  149. Burns, J.C. The etiologies of Kawasaki disease. J. Clin. Investig. 2024, 134, e176938. [Google Scholar] [CrossRef] [Scilit]
  150. Garcia-Faroldi, G.; Melo, F.R.; Rönnberg, E.; Grujic, M.; Pejler, G. Active Caspase-3 Is Stored Within Secretory Compartments of Viable Mast Cells. J. Immunol. 2013, 191, 1445–1452. [Google Scholar] [CrossRef] [Scilit]
  151. Palma, A.M.; Hanes, M.R.; Marshall, J.S. Mast Cell Modulation of B Cell Responses: An Under-Appreciated Partnership in Host Defence. Front. Immunol. 2021, 12, 718499. [Google Scholar] [CrossRef] [Scilit]
  152. Yeşiltepe, E.; Duman, D.; Kuyucu, N.; Bozdoğan, S.T.; Çıtırık, L.; Yeşil, E.; Karpuz, D. FCGR2A Gene Polymorphism Association in Children with Multisystem Inflammatory Syndrome. Indian Pediatr. 2025, 62, 372–377. [Google Scholar] [CrossRef] [Scilit]
  153. Jia, S.; Li, C.; Wang, G.; Yang, J.; Zu, Y. The T helper type 17/regulatory T cell imbalance in patients with acute Kawasaki disease. Clin. Exp. Immunol. 2010, 162, 131–137. [Google Scholar] [CrossRef] [Scilit]
  154. Lee, Y.-C.; Kuo, H.-C.; Chang, J.-S.; Chang, L.-Y.; Huang, L.-M.; Chen, M.-R.; Liang, C.-D.; Chi, H.; Huang, F.-Y.; Lee, M.-L.; et al. Two new susceptibility loci for Kawasaki disease identified through genome-wide association analysis. Nat. Genet. 2012, 44, 522–525. [Google Scholar] [CrossRef] [Scilit]
  155. Onouchi, Y.; Ozaki, K.; Burns, J.C.; Shimizu, C.; Terai, M.; Hamada, H.; Honda, T.; Suzuki, H.; Suenaga, T.; Takeuchi, T.; et al. A genome-wide association study identifies three new risk loci for Kawasaki disease. Nat. Genet. 2012, 44, 517–521. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  156. Chang, C.-J.; Kuo, H.-C.; Chang, J.-S.; Lee, J.-K.; Tsai, F.-J.; Khor, C.C.; Chang, L.-C.; Chen, S.-P.; Ko, T.-M.; Liu, Y.-M.; et al. Replication and Meta-Analysis of GWAS Identified Susceptibility Loci in Kawasaki Disease Confirm the Importance of B Lymphoid Tyrosine Kinase (BLK) in Disease Susceptibility. PLoS ONE 2013, 8, e72037. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  157. Shrestha, S.; Wiener, H.; Shendre, A.; Kaslow, R.A.; Wu, J.; Olson, A.; Bowles, N.E.; Patel, H.; Edberg, J.C.; Portman, M.A. Role of Activating FcγR Gene Polymorphisms in Kawasaki Disease Susceptibility and Intravenous Immunoglobulin Response. Circ. Cardiovasc. Genet. 2012, 5, 309–316. [Google Scholar] [CrossRef] [Scilit]
  158. Shrestha, S.; Wiener, H.W.; Olson, A.K.; Edberg, J.C.; Bowles, N.E.; Patel, H.; Portman, M.A. Functional FCGR2B gene variants influence intravenous immunoglobulin response in patients with Kawasaki disease. J. Allergy Clin. Immunol. 2011, 128, 677–680.e1. [Google Scholar] [CrossRef] [Scilit]
  159. Makowsky, R.; Wiener, H.W.; Ptacek, T.S.; Silva, M.; Shendre, A.; Edberg, J.C.; Portman, M.A.; Shrestha, S. FcγR gene copy number in Kawasaki disease and intravenous immunoglobulin treatment response. Pharmacogenetics Genom. 2013, 23, 455–462. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  160. Nagelkerke, S.Q.; Schmidt, D.E.; de Haas, M.; Kuijpers, T.W. Genetic Variation in Low-To-Medium-Affinity Fcγ Receptors: Functional Consequences, Disease Associations, and Opportunities for Personalized Medicine. Front. Immunol. 2019, 10, 2237. [Google Scholar] [CrossRef] [Scilit]
  161. Johnson, T.A.; Mashimo, Y.; Wu, J.-Y.; Yoon, D.; Hata, A.; Kubo, M.; Takahashi, A.; Tsunoda, T.; Ozaki, K.; Tanaka, T.; et al. Association of an IGHV3-66 gene variant with Kawasaki disease. J. Hum. Genet. 2021, 66, 475–489. [Google Scholar] [CrossRef] [Scilit]
  162. Kim, J.-J.; Park, Y.-M.; Yoon, D.; Lee, K.-Y.; Song, M.S.; Lee, H.D.; Kim, K.-J.; Park, I.-S.; Nam, H.-K.; Yun, S.W.; et al. Identification of KCNN2 as a susceptibility locus for coronary artery aneurysms in Kawasaki disease using genome-wide association analysis. J. Hum. Genet. 2013, 58, 521–525. [Google Scholar] [CrossRef] [Scilit]
  163. Zhang, X.; Sun, Y.; Meng, L.; Ye, C.; Han, H.; Zhang, T.; Feng, Y.; Li, J.; Duan, L.; Chen, Y. Whole-exome sequencing analysis identifies novel variants associated with Kawasaki disease susceptibility. Pediatr. Rheumatol. 2023, 21, 78. [Google Scholar] [CrossRef] [Scilit]
  164. Onouchi, Y.; Fukazawa, R.; Yamamura, K.; Suzuki, H.; Kakimoto, N.; Suenaga, T.; Takeuchi, T.; Hamada, H.; Honda, T.; Yasukawa, K.; et al. Variations in ORAI1 Gene Associated with Kawasaki Disease. PLoS ONE 2016, 11, e0145486. [Google Scholar] [CrossRef] [Scilit]
  165. Shimizu, C.; Jain, S.; Davila, S.; Hibberd, M.L.; Lin, K.O.; Molkara, D.; Frazer, J.R.; Sun, S.; Baker, A.L.; Newburger, J.W.; et al. Transforming Growth Factor-β Signaling Pathway in Patients with Kawasaki Disease. Circ. Cardiovasc. Genet. 2011, 4, 16–25, Correction in Circ. Cardiovasc. Genet. 2011, 4, e9. https://doi.org/10.1161/HCG.0b013e31821bbda9. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  166. Cho, J.H.; Han, M.Y.; Cha, S.H.; Jung, J.H.; Yoon, K.L. Genetic Polymorphism of SMAD5 is Associated with Kawasaki Disease. Pediatr. Cardiol. 2014, 35, 601–607. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  167. Choi, Y.M.; Shim, K.S.; Yoon, K.L.; Han, M.Y.; Cha, S.H.; Kim, S.K.; Jung, J.H. Transforming growth factor beta receptor II polymorphisms are associated with Kawasaki disease. Korean J. Pediatr. 2012, 55, 18–23. [Google Scholar] [CrossRef] [Scilit]
Figure 1. Kawasaki disease normalized frequency for singly administered vaccine by child year of age 0, 1, and 2.
Figure 1. Kawasaki disease normalized frequency for singly administered vaccine by child year of age 0, 1, and 2.
Cimb 48 00508 g001
Figure 2. Kawasaki disease normalized frequency for infants aged 0 (A) concomitantly administered vaccines, (B) number of occurrences in concomitantly administered vaccines, and (C) with AE death (Pearson r = 0.66).
Figure 2. Kawasaki disease normalized frequency for infants aged 0 (A) concomitantly administered vaccines, (B) number of occurrences in concomitantly administered vaccines, and (C) with AE death (Pearson r = 0.66).
Cimb 48 00508 g002aCimb 48 00508 g002b
Figure 3. MIS normalized frequency by age for COVID-19 (Pfizer-BioNTech).
Figure 3. MIS normalized frequency by age for COVID-19 (Pfizer-BioNTech).
Cimb 48 00508 g003
Figure 4. Kawasaki disease and MIS onset day (Pearson r = 0.90).
Figure 4. Kawasaki disease and MIS onset day (Pearson r = 0.90).
Cimb 48 00508 g004
Figure 5. Kawasaki disease normalized frequency by sex.
Figure 5. Kawasaki disease normalized frequency by sex.
Cimb 48 00508 g005
Figure 6. Kawasaki disease adverse events normalized frequency by vaccine dose.
Figure 6. Kawasaki disease adverse events normalized frequency by vaccine dose.
Cimb 48 00508 g006
Figure 7. MIS normalized frequency by COVID-19 (Pfizer-BioNTech) manufacturing lot (minimum 1000 AEs by lot and AE MIS ≥ 2).
Figure 7. MIS normalized frequency by COVID-19 (Pfizer-BioNTech) manufacturing lot (minimum 1000 AEs by lot and AE MIS ≥ 2).
Cimb 48 00508 g007
Table 1. Kawasaki disease normalized frequency by year for vaccines with greater than 75 VAERS KD reports. Yearly date range end years selected for a minimum of 500 total yearly AEs.
Table 1. Kawasaki disease normalized frequency by year for vaccines with greater than 75 VAERS KD reports. Yearly date range end years selected for a minimum of 500 total yearly AEs.
YearHib (ActHib)Meningococcal B (Bexsero)Pneumo (Prevnar)Pneumo (Prevnar13)Rotavirus (Rotarix)Rotavirus (Rotateq)
19950     
19960     
19970     
19980     
19990     
20000 0   
20010 36   
20020 117   
2003236 240   
20040 56   
2005217 174   
2006126 124   
2007768 703  1443
2008127 411  537
2009103 636  577
2010339 473488 463
2011872 795310 268
20121370 16825191356763
201391 364431459369
2014875  482482192
2015144  198409242
20161216778 419932152
20176101039 194384157
20186311183 3971117398
20194871256 304885144
202014091051 5771581247
2021467560 323672428
20221359463 7511362281
2023225869 701430731
2024374646 897654500
2025310905 1592712112
Yearly average399875415537817421
Standard deviation454264447342400314
Table 2. Kawasaki and MIS etiology model disease factors, mast cell activators, and hypothesized IVIG resistance.
Table 2. Kawasaki and MIS etiology model disease factors, mast cell activators, and hypothesized IVIG resistance.
Primary FactorAdditional FactorMast Cell Activator(s)Likely IVIG Resistance
neonate pathogen infectionmaternally transferred antibodies (MatAbs)high Ab titersvery low
pathogen infectionelevated Ab titers (ongoing, prior infections, …)high Ab titersvery low
immunizationelevated Ab titershigh Ab titersvery low
immunizationhypothesized manufacturing contaminant(s)unknown microbial components, or spike protein [113]high
immunizationlive attenuated virus vaccine GI pathogen (e.g., rotavirus)—possible disruption of gut barrierpossible high Ab titers and/or unknown microbial componentsvariable depending upon mast cell activators
GI infectiondisruption of gut barrier [99]unknown microbial componentshigh
environmental exposures including increased temperaturegenetic risk factordirect mast cell activationhigh
Table 3. Kawasaki disease-associated genes and candidate-associated genes.
Table 3. Kawasaki disease-associated genes and candidate-associated genes.
GeneGene NamePathwayReferences
BLKB-cell lymphoid tyrosine kinaseregulates B-cell receptor signaling and development[144,154,155,156]
CASP3caspase-3modules immune responses[139,140]
CD40tumor necrosis factor receptor superfamily member 5mediates immune responses[154,155]
CD40LCD40 ligand, CD154mediates immune responses; mast cells express CD40 ligand (CD40L) that interacts with CD40 on B-cells[151]
FcgR2aFc fragment of IgG receptor IIa, CD32encodes a low-affinity cell surface receptor that binds the Fc region of IgG antibodies[142,143,144,145,157]
FcgR2bFc fragment of IgG receptor IIbencodes a low-affinity inhibitory receptor for the Fc region of immunoglobulin gamma[158]
FcgR2c gene copy numberFc fragment of IgG receptor IIcencodes a low-affinity inhibitory receptor for the Fc region of immunoglobulin gamma[159]
FcgR2c-ORFFc fragment of IgG receptor IIc open reading frameencodes a low-affinity inhibitory receptor for the Fc region of immunoglobulin gamma[160]
FcgR3b gene copy numberFc fragment of IgG receptor IIIbencodes a low-affinity inhibitory receptor for the Fc region of immunoglobulin gamma[159]
HLAhuman leukocyte antigenT-cell immune responses[155]
IGHVImmunoglobulin heavy chain variable regionB-cell antibody responses[161]
ITPKCinositol 1,4,5-trisphosphate 3-kinase Ccalcineurin, a nuclear factor of the activated T-cell pathway—calcium signaling pathway[138,139]
KCNN2potassium calcium-activated channel subfamily N member 2associated with CAA[162]
MYH14myosin heavy chain 14whole-exome sequencing gene candidate[163]
NA1 of FcgR3Bneutrophil antigen 1variant overexpression in IVIG nonresponders[157]
ORAI1calcium release-activated calcium modulator 1involved in calcium influx in immune cells[164]
RBP3interphotoreceptor retinoid-binding proteinwhole-exome sequencing gene candidate[163]
SMAD3mothers against decapentaplegic homolog 5TGF-beta signaling pathway[165]
SMAD5SMAD family member 5, MADH5, JV5-1, mothers against decapentaplegic homolog 5TGF-beta signaling pathway[166]
TGFBR2transforming growth factor beta receptor 2regulates immune cell differentiation and activation[165,167]
TLR6toll-like receptor 6a pattern recognition receptor (PRR) that detects pathogens[141]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ricke, D.O. Etiology Model of Kawasaki Disease and Multisystem Inflammatory Syndromes: Mast Cell Activation. Curr. Issues Mol. Biol. 2026, 48, 508. https://doi.org/10.3390/cimb48050508

AMA Style

Ricke DO. Etiology Model of Kawasaki Disease and Multisystem Inflammatory Syndromes: Mast Cell Activation. Current Issues in Molecular Biology. 2026; 48(5):508. https://doi.org/10.3390/cimb48050508

Chicago/Turabian Style

Ricke, Darrell O. 2026. "Etiology Model of Kawasaki Disease and Multisystem Inflammatory Syndromes: Mast Cell Activation" Current Issues in Molecular Biology 48, no. 5: 508. https://doi.org/10.3390/cimb48050508

APA Style

Ricke, D. O. (2026). Etiology Model of Kawasaki Disease and Multisystem Inflammatory Syndromes: Mast Cell Activation. Current Issues in Molecular Biology, 48(5), 508. https://doi.org/10.3390/cimb48050508

Article Metrics

Back to TopTop