Dataset Information

Association between Rab31/rs9965664 polymorphism and immunoglobulin therapy resistance in patients with Kawasaki disease.

ABSTRACT:

Background

Kawasaki disease (KD) is an acute febrile systemic vasculitis affecting infants and young children. A high dose of intravenous immunoglobulin (IVIG) is the first-line strategy for patients with KD to reduce persistent inflammation and the risk of coronary artery aneurysm (CAA) formation. Unfortunately, 10-20% of the patients showed no response to the treatment and were defined as resistant to IVIG. Rab31 has been reported to regulate innate immunity in several human diseases. However, whether single nucleotide polymorphism (SNP) in Rab31 gene could predispose to IVIG therapy response in KD was uncovered.

Methods

Rab31/rs9965664 polymorphism was genotyped in 1,024 Chinese patients with KD through TaqMan assay. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the strength of association between Rab31/rs9965664 polymorphism and IVIG therapeutic effects.

Results

Our results showed that Rab31/rs9965664 AA/GA genotype was significantly associated with an increased risk of IVIG resistance compared to GG genotype (GA vs. GG: p = 0.0249; AA vs. GG: p = 0.0016; AA/GA vs. GG: p = 0.0039; and AA vs. GG/GA: p = 0.0072). Moreover, the KD individuals carrying the rs9965664 A allele displayed lower Rab31 protein levels, and the expression level of Rab31 in the IVIG-resistant group was decreased significantly when compared to that observed in the response group. A mechanical study demonstrated that Rab31 modulated IVIG response through NLRP3 and p38 pathways.

Conclusion

These results suggested that Rab31/rs9965664 polymorphism might be associated with an increased risk of IVIG resistance in southern Chinese patients with KD. The possible mechanism is that Rab31 regulates the NLRP3 pathway negatively to inhibit IVIG response.

SUBMITTER: Yu H

PROVIDER: S-EPMC9623048 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Association between <i>Rab31/</i>rs9965664 polymorphism and immunoglobulin therapy resistance in patients with Kawasaki disease.

Yu Hongyan H Lin Yueling Y Xu Yufen Y Chen Kaining K Wang Yishuai Y Fu Lanyan L Zhou Huazhong H Pi Lei L Che Di D Qiu Xiantao X Gu Xiaoqiong X

Frontiers in cardiovascular medicine 20221018

<h4>Background</h4>Kawasaki disease (KD) is an acute febrile systemic vasculitis affecting infants and young children. A high dose of intravenous immunoglobulin (IVIG) is the first-line strategy for patients with KD to reduce persistent inflammation and the risk of coronary artery aneurysm (CAA) formation. Unfortunately, 10-20% of the patients showed no response to the treatment and were defined as resistant to IVIG. <i>Rab31</i> has been reported to regulate innate immunity in several human dis ...[more]

PMID: 36329997

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Project description:BackgroundAbout 10-20% of Kawasaki disease (KD) patients are resistant to the initial infusion of intravenous immunoglobin (IVIG). The aim of this study was to assess whether IVIG resistance in KD patients could be predicted using standard clinical and laboratory features.MethodsData were from two cohorts: a Korean cohort of 7101 KD patients from 2015 to 2017 and a cohort of 649 KD patients from San Diego enrolled from 1998 to 2021. Features included laboratory values, the worst Z-score from the initial echocardiogram or during hospitalization, and the five clinical KD signs at presentation.ResultsFive machine learning models achieved a maximum median AUC of 0.711 [IQR: 0.706-0.72] in the Korean cohort and 0.696 [IQR: 0.609-0.722] in the San Diego cohort during stratified 10-fold cross-validation using significant laboratory features identified from univariate analysis. Adding the Z-score, KD clinical signs, or both did not considerably improve the median AUC in either cohort.ConclusionsUsing commonly measured clinical laboratory data alone or in conjunction with echocardiographic findings and clinical features is not sufficient to predict IVIG resistance. Further attempts to predict IVIG resistance will need to incorporate additional data such as transcriptomics, proteomics, and genetics to achieve meaningful predictive utility.ImpactWe demonstrated that laboratory, echocardiographic, and clinical findings cannot predict intravenous immunoglobin (IVIG) resistance to a clinically meaningful extent using machine learning in a homogenous Asian or ethnically diverse population of patients with Kawasaki disease (KD). Visualizing these features using uniform manifold approximation and projection (UMAP) is an important step to evaluate predictive utility in a qualitative manner. Further attempts to predict IVIG resistance in KD patients will need to incorporate novel biomarkers or other specialized features such as genetic differences or transcriptomics to be clinically useful.