Susceptibility of TSPAN5 polymorphisms to Kawasaki disease and immunoglobulin therapy resistance in southern Chinese children.

Kawasaki disease (KD) is a condition characterized by acute multi-system vasculitis and high fever in infants and children. Intravenous immunoglobulin (IVIG) is the established therapeutic approach of KD,foralleviating inflammation and mitigate the risk of arterial wall dilation and the development of coronary artery aneurysms (CAA). But almost 20% of the patients developed resistance to IVIG and displayed persistent fever after standard primary treatment. TSPAN5, belonging to the Tetraspanin family, has been demonstrated to modulate innate immunity in a range of human diseases. It accomplishes this by engaging with integrins and actively participating in the process of infection recognition. However, its relevance to susceptibility and IVIG therapy response of KD was unexposed. In the present study, our Integrative analysis of KD transcriptomic data and GTEx data revealed that the eQTL rs12504972 might modify the downregulation of TSPAN5 in KD patients. Moreover, our findings suggest a potential association between TSPAN5/rs12504972 and an elevated susceptibility as well as IVIG resistance among patients with Kawasaki disease in southern China. The results provided a new insight that TSPAN5 triggered KD susceptibility and resistance of IVIG therapy on the genomic level.

The Associated of the Risk of IVIG Resistance in Kawasaki Disease with ZNF112 Gene and ZNF180 Gene in a Southern Chinese Population.

Background: Kawasaki disease (KD) was one of the most common primary vasculitis. IVIG resistance was associated with an increased risk of coronary artery aneurysm. Accumulating evidences demonstrated that inflammatory gene polymorphisms might play important roles in IVIG resistance, and zinc finger proteins were closely related to immune inflammation regulation, but the effect of ZNF112/rs8113807 and ZNF180/rs2571051 on IVIG resistance in KD patients has not been reported. Methods: A total of 996 KD patients were recruited, and the assay of TaqMan-real-time polymerase chain reaction was used for ZNF112/rs8113807 and ZNF180/rs2571051 genotyping. Odds ratio (OR) and 95% confidence interval (CI) were calculated for estimating the relationship between the polymorphisms of the both SNPs (ZNF112/rs8113807 and ZNF180/rs2571051) and the risk of IVIG resistance. Results: Both of the ZNF112/rs8113807 CC/TC genotype and the ZNF180/rs2571051 TT/CT genotype increased the risk of IVIG resistance in KD (rs8113807: CC vs TT: adjusted OR = 1.83, 95% CI = 1.06-3.16, p = 0.0293; CC/TC vs TT adjusted: OR = 1.49, 95% CI = 1.10-2.02, p = 0.0094. rs2571051: TT vs CC adjusted: OR = 2.64, 95% CI = 1.62-4.29, p < 0.0001; TT/CT vs CC adjusted: OR = 2.14, 95% CI = 1.37-3.37, p = 0.0009; TT vs CC/CT adjusted: OR = 1.66, 95% CI = 1.22-2.27, p = 0.0014). Furthermore, the combinative analysis of risk genotypes in ZNF112/rs8113807 and ZNF180/rs2571051 showed that patients with two unfavorable genotypes were more likely to increase risk of IVIG resistance than those who carried with zero or one unfavorable genotypes (adjusted: OR = 1.68, 95% CI = 1.24-2.27, p = 0.0008). Conclusion: Our findings enriched the genetic background of IVIG resistance risk in the KD development and suggested that the ZNF112/rs8113807 C-carrier and the ZNF180/rs2571051 T-carrier were associated with increased risk of IVIG resistance in KD patients in Chinese southern population.

Probabilistic 3D object recognition and pose estimation using multiple interpretations generation.

This paper presents a probabilistic object recognition and pose estimation method using multiple interpretation generation in cluttered indoor environments. How to handle pose ambiguity and uncertainty is the main challenge in most recognition systems. In order to solve this problem, we approach it in a probabilistic manner. First, given a three-dimensional (3D) polyhedral object model, the parallel and perpendicular line pairs, which are detected from stereo images and 3D point clouds, generate pose hypotheses as multiple interpretations, with ambiguity from partial occlusion and fragmentation of 3D lines especially taken into account. Different from the previous methods, each pose interpretation is represented as a region instead of a point in pose space reflecting the measurement uncertainty. Then, for each pose interpretation, more features around the estimated pose are further utilized as additional evidence for computing the probability using the Bayesian principle in terms of likelihood and unlikelihood. Finally, fusion strategy is applied to the top ranked interpretations with high probabilities, which are further verified and refined to give a more accurate pose estimation in real time. The experimental results show the performance and potential of the proposed approach in real cluttered domestic environments.