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A peer-reviewed article of this preprint also exists.
Submitted:
13 June 2024
Posted:
14 June 2024
You are already at the latest version
AECA, | anti-endothelial autoantibodies |
BLK, | B-cell lymphoid kinase |
CASP3, | caspase-3 |
CAL, | coronary artery lesions |
CEC, | circulating endothelial cells |
cfDNA, | cell-free nuclear DNA |
CA, | coronary artery |
CAD, | coronary artery disease |
DAMP, | damage-associated molecular pattern |
EC, | endothelial cells |
EndoMT, | endothelial-mesenchymal transition |
EMP, | endothelial microparticle |
EC-cfDNA, | endothelial cell-free DNA |
ELISA, | Enzyme-linked immunosorbent assay |
FCGR2A, | Fc fragment of IgG receptor IIa |
GWAS, | Genome-wide association studies |
IVIg, | intravenous immunoglobulin |
IL, | interleukin |
iNOS, | inducible NOS |
KD, | Kawasaki disease |
MIS-C, | multisystem inflammatory syndrome in children |
MRP, | myeloid-related protein |
NLRP3, | nucleotide-binding domain and leucine-rich repeat pyrin domain containing 3 |
NO, | Nitric oxide |
NOS, | nitric oxide synthase |
NFATs, | nuclear factor of activated T-cells |
ROS, | reactive oxygen species |
RAGE, | receptor for advanced glycation end-products |
SNP, | single-nucleotide polymorphisms |
TGF- β, | transforming growth factor β |
VE-Cadherin, | vascular endothelial (VE)-cadherin |
VEGF, | vascular endothelial growth factor |
Susceptibility gene | Associated SNP | Type of study | Association with KD | Association of SNP with other pathologies | Association of gene with other pathologies | Predisposed Ethnicity | Ref | |
---|---|---|---|---|---|---|---|---|
Family-based studies | Inositol1,4,5-trisphosphate 3-kinase C (ITPKC) | rs28493229 | Case-control association studies | ITPKC negatively regulates signalling cascade triggered by inositol 1,4,5-trisphosphate (IP3) and nuclear factor of activated T-cells (NFATs) which activates of inflammatory and vascular ECs. However, its SNPs reduces expression of ITPKC mRNA. | None. | ● Hydrops Of Gallbladder ● Bacterial Conjunctivitis |
Japanese, Taiwanese, Koreans, Chinese, Euro-American |
[29] |
Caspase-3 (CASP3) | rs113420705 (formerly rs72689236) | Case-control association studies | CASP3 also inhibits the activity of IP3 and NFATs and mediates cellular apoptosis. However, its SNP reduces CASP3 expression limiting cellular apoptosis and sustaining potency of immune cells. | None. | ● Oropharynx Cancer ● Retinal Ischemia ● Monocytic Leukemia |
Japanese, Taiwanese, Koreans, Chinese, Euro-American |
[29] | |
Population-based studies | Fc gamma receptor IIa (FCGR2A) | rs1801274 | Genome-wide association studies (GWAS) | FCGR2A activates and triggers a signal when conjugated with immune cells. SNP increases affinity to IgG receptors enhancing phagocytic cell activation. This provides a basis, although not established, for IVIG treatment against KD. | Lupus nephritis Malaria Pseudomonas aeruginosa (cystic fibrosis) |
● Cystic Fibrosis ● Systemic Lupus Erythematosus |
European descent, Taiwanese, Koreans, Han Chinese | [29,30,31] |
B lymphoid tyrosine kinase (BLK) | rs2736340 | GWAS | The SNP reduces BLK mRNA expression in B-cells which may alter its activity to trigger the pathogenesis of KD. | None. | ● Rheumatoid arthritis ● Systemic lupus Erythematosus |
Japanese, Taiwanese, Koreans |
[29,32] | |
CD40 | rs1883832 | GWAS | SNP increases CD40 expression on B-cells leading to enhanced B cell activity, which is suggested to be commonly involved in the pathogenesis of KD and other adult autoimmune diseases. It is known to enhance activation of inflammatory and vascular ECs. | -Hyper-IgM syndrome type 3 | ● Rheumatoid arthritis ● Systemic lupus Erythematosus ● Autosomal recessive hyper-IgM immunodeficiency type 3. |
Japanese, Taiwanese, Koreans |
[29] |
Potential Diagnostics | Advantages | Disadvantages |
---|---|---|
Circulating endothelial cells |
|
|
Endothelial microparticle |
|
|
Endothelial-specific cell-free DNA |
|
|
Literature | Type of participants | Age (in years, median/range) | Female, n, % | Acute phase | No. of CECs (acute) | Sub-acute phase | No. of CECs (sub-acute) | Convalescent phase | No. of CECs (convalescent) | Long term outcomes | Healthy controls | CEC detection method | Biomarkers for detection |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fabi et al. (2022[99] | Active | 1.8 (0.6-2.4 (IQR)) | 6 (66.7%) | 1st - 10th day of fever | 16.3 (13.6-48.8) /mL of blood | 11th-20th day after fever | 45.8 (18.5-131.0)/mL of blood | - | - | - | - | Immunomagnetic capture | CD146 |
Shah et al. (2015) [103] | Survivors | 11.9 (4.3–32.2) Age at diagnosis: 4.9 (0.18 -11.3) |
45 (49%) | - | - | - | - | - | - | 8.3 years post-KD CECs: 24 cells/mL |
n=51 CECs: 49 cell/mL |
Immunomagnetic capture | CD146 |
Zhou et al. (2015) [104] | In vitro model | - | - | - | - | - | - | - | - | - | Flow cytometry | CD146+,CD105+,CD45-,CD34+ | |
Mostafavi et al. (2014) [105] | Survivors | 6.6 (4.8-9.6) | 8 (61.5%) | - | - | - | - | - | - | 4-19 years post-KDCECs: 12 cells | n=13 CECs: 2.38 cells |
Flow cytometry | CD45-,CD34+,CD146+ |
Wang et al. (2014) [106] | Active | 0.1-5 | 17 (41.4%) | During hospitalisation | 392 / mL of blood (unique formula was used) | - | - | - | - | - | - | Flow cytometry | CD45-,CD146+ |
Gong et al. (2012) [107] | Active | 0.25-12.7 | 37 (41.6%) | 4-10 day of disease | absolute count of CEC not reported | 11-21 day of disease | absolute count of CEC not reported | 22-60 days of disease | absolute count of CEC not reported | - | n=38 absolute count of CEC not reported |
Flow cytometry | CD45-,CD146+ |
Fu et al. (2010) [108] | Active | 0.25-11 | 16 (38.1%) | 4-10 day of disease | absolute count of CEC not reported | 11-21 day of disease | absolute count of CEC not reported | 22-60 days of disease | absolute count of CEC not reported | - | n=60 absolute count of CEC not reported |
Flow cytometry | CD45-,CD146+ |
Hirono et al. (2006) [109] | Active | 0.16-7.3 | 21 (34.4%) | At diagnosis | 2.5 cells/mL | 2 weeks from onset | 20.7 cells/mL | - | - | - | n=33 1.0 cells/mL |
Buffy-coat smears | P1H12 antibody |
Yu et al. (2004) [110] | Active | 0.3-7.25 | 29 (52.7%) | Before IVIg After IVIg |
0.7 cells/mL 4.9 cells/mL |
2 weeks from onset | 24.4 cells/mL | 4 weeks from onset | 3.7 cells/mL | - | n=15 | Buffy-coat smears | P1H12 antibody |
Nakatani et al. (2003) [111] | Active | 0.67-6 | 5 (25%) | Before IVIg therapy on days 3–7 | 16.4 cells/mL | After IVIg therapy on days 9–16 | 21 cells/mL | days 22–37 | 9 cells/mL | - | n=10 <6 cells/mL |
Immunomagnetic capture | P1H12 antibody |
Literature | Type of participants | Age (median years (range)) | Female (%) | Acute phase | No. of EMPs (acute) | Sub-acute phase | No. of EMPs (sub-acute) | Convalescent phase | No. of EMPs (convalescent) | Long term outcomes | Healthy controls | EMP detection method | Biomarkers for detection |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chen et al. (2021)[132] | Active | ~2-3 | 15 (42%) | Disease onset (before IVIg) |
CD31+,CD54+: Significantly higher comared to healthy control. CD31+,CD105+: Significantly lower when compared to sub-acute timepoint. Quantitative values not reported. (EMPs were normalised to 10000 events) |
2 weeks from disease onset | CD31+,CD54+: Significantly higher comared to healthy control. CD31+,CD105+: Significantly higher when compared to acute timepoint. Quantitative values not reported. (EMPs were normalised to 10000 events) |
- | - | - | n=18 CD31+,CD105+: Significantly higher in sub-acute group compared to healthy controls. CD31+,CD54+: Higher in acute and sub-acute phase compared to healthy controls. |
Flow cytometry | CD31+, CD54+ and CD31+, CD105+ |
Nakaoka et al. (2018)[127] | Active | 0.3-14 | 20 (40%) | Time of diagnosis | 1.31% (Normalised to total number of particles) | - | - | 2-4 weeks after onset of disease | Below acute levels | - | Healthy: 25 EMP: 0.08% Febrile: 25 EMP:0.09% |
Flow cytometry | CD144+/CD42b- |
Tian et al. (2016) [116] | In vitro | - | - | - | - | - | - | - | - | - | - | ELISA | CD31, CD62 |
Shah et al. (2015) [103] | Survivor | Age at study: 11.9 (4.3-32.2) Age at disgnosis: 4.9 (0.18-11.3) |
45 (49%) | - | - | - | - | - | - | In KD survivors, AnnexinV : 970x10^3/mL of plasma CD105: 1.60x10^3/mL of plasma (*p=0.04) CD62E: 2.87x10^3/mL of plasma CD54: 0.87x10^3/mL of plasma CD106: 0/mL of plasma CD144: 0.32x10^3/mL of plasma CD31: 14.18x10^3/mL of plasma CD42a: 14.04x10^3/mL of plasma |
n=51 AnnexinV : 990x10^3/mL of plasma CD105: 0/mL of plasma CD62E: 3.92x10^3/mL of plasma CD54: 0.97x10^3/mL of plasma CD106: 0/mL of plasma CD144: 0.2x10^3/mL of plasma CD31: 20.59x10^3/mL of plasma CD42a: 24.93x10^3/mL of plasma |
Flow cytometry | Annexin V+ and CD105+/CD62E+/CD54+/CD106+/CD144+/CD31+/CD42a- |
Ding et al. (2014) [129] | Active | 1.9 (0.3-7.5) | 12 (42.9%) | unspecified | Absolute values are not reported. All 3 EMPs are significantly elevated at acute phase when compared to healthy controls but not with febrile control. | unspecified | Absolute values are not reported. All 3 EMPs are significantly elevated at sub-acute phase when compared to healthy controls but not with febrile control. | unspecified | Absolute values are not reported. All 3 EMPs are significantly elevated at convalescent phase when compared to healthy controls but not with febrile control. | - | Healthy: 28Febrile: 28 | Flow cytometry | CD144+/CD42b-, CD62E+ and CD105+ |
Tan et al. (2013) [131] | Active | <3 years | Not reported | Within 10 days | n=20 28.07% (Normalised to 10000 particles) |
- | - | - | - | - | Healthy: 18 EMP: 11.7% Disease: 18 EMP: 17.2% |
Flow cytometry | CD31, CD146 |
Dou et al. (2013) [128] | KD rabbit model | - | - | - | - | - | - | - | - | - | - | Scanning electron microscope | - |
Guiducci et al. (2011) [126] | Active | 1.4 (median age) | 11 (37%) | Before IVIg | 76x10^5/mL plasma | - | - | 1-month follow-up | 9x10^5/mL plasma | - | n=20 45x10^5/mL plasma |
Flow cytometry | CD144 |
Brogan et al. (2004) [133] | In vitro | - | - | - | - | - | - | - | - | - | - | Flow cytometry | CD54, CD106, CD62E, CD62P |
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