Dengue virus non-structural protein 1 binding to thrombin as a dengue severity marker: Comprehensive patient analysis in south Taiwan.

IF 4.5 2区 医学 Q2 IMMUNOLOGY
Josephine Diony Nanda, Trai-Ming Yeh, Rahmat Dani Satria, Ming-Kai Jhan, Yung-Ting Wang, Ya-Lan Lin, Herdiantri Sufriyana, Emily Chia-Yu Su, Chiou-Feng Lin, Tzong-Shiann Ho
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引用次数: 0

Abstract

Background: Previously we identified a complex of non-structural protein (NS) 1 - Thrombin (NST) in dengue infected patients. Here, we investigated how the concentration of NS1 and NST differ in various dengue severity levels as well as their demographic and clinical features. Several comorbid (hypertension, diabetes, and chronic renal failure) often found in dengue patients were also measured and analyzed.

Methods: A total of 86 dengue patients (52 not severe and 34 severe), were enrolled and had their blood taken. Blood samples were further verified for clinical blood parameters, including liver and renal function tests and serologic assays (NS1 and NST). Patients' severity was grouped based on WHO 2009 classification, which separates patients into dengue without warning signs (DNWS), dengue with warning signs (DWWS), and severe dengue (SD). DWWS is explained as DNWS with warning signs (persistent abdominal pain, persistent vomiting, liver enlargement, bleeding (any kind), fatigue, and restlessness). SD are those with severe plasma leakage, severe bleeding, or severe organ impairment. Multivariate regression analysis was used to predict the role of NST on the dengue severity development and receiver operating characteristic (AUROC) test was utilized to evaluate separability.

Results: The analysis revealed that NS1 significantly impacts the disease outcome (p 0.018, OR = 2.467 (1.171-5.197)) but not beyond the effect through NST (p 0.108, OR = 0.085 (0.004-1.719)). We also prove that NST was a better severity biomarker compared to NS1, as it can predict progression from DNWS to DWWS (AUC: NS1 = 0.771∗∗, NST = 0.81∗∗) and SD (AUC: NS1 = 0.607, NST = 0.754∗) significantly.

Conclusions: This finding suggests the importance of NST in mediating the NS1 effect to promote dengue severity progression and its promising capability as an acute stage dengue severity biomarker.

登革病毒非结构蛋白1结合凝血酶作为登革热严重程度标记:台湾南部综合患者分析。
背景:以前我们在登革热感染患者中发现了非结构蛋白(NS) 1 -凝血酶(NST)复合物。在这里,我们研究了NS1和NST的浓度在不同登革热严重程度及其人口学和临床特征中的差异。还测量和分析了登革热患者中常见的几种合并症(高血压、糖尿病和慢性肾功能衰竭)。方法:选取86例登革热患者(轻危52例,危重34例)进行血液采集。进一步验证血液样本的临床血液参数,包括肝肾功能检查和血清学分析(NS1和NST)。患者的严重程度根据世卫组织2009年的分类进行分组,该分类将患者分为无预警迹象登革热(DNWS)、有预警迹象登革热(DWWS)和严重登革热(SD)。DWWS被解释为伴有警告信号(持续腹痛、持续呕吐、肝脏肿大、出血(任何类型)、疲劳和不安)的DNWS。SD是指有严重的血浆渗漏、大出血或严重的器官损害的患者。采用多变量回归分析预测NST对登革热严重程度发展的影响,并采用受试者操作特征(AUROC)检验评价可分离性。结果:分析显示NS1显著影响疾病结局(p 0.018, OR = 2.467(1.171-5.197)),但不超过NST的影响(p 0.108, OR = 0.085(0.004-1.719))。与NS1相比,我们还证明NST是一个更好的严重程度生物标志物,因为它可以预测从DNWS到DWWS的进展(AUC: NS1 = 0.771∗∗,NST = 0.81∗)和SD (AUC: NS1 = 0.607, NST = 0.754∗)。结论:这一发现表明NST在介导NS1促进登革热严重程度进展中的重要性,以及它作为急性期登革热严重程度生物标志物的潜力。
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来源期刊
Journal of Microbiology Immunology and Infection
Journal of Microbiology Immunology and Infection IMMUNOLOGY-INFECTIOUS DISEASES
CiteScore
15.90
自引率
5.40%
发文量
159
审稿时长
67 days
期刊介绍: Journal of Microbiology Immunology and Infection is an open access journal, committed to disseminating information on the latest trends and advances in microbiology, immunology, infectious diseases and parasitology. Article types considered include perspectives, review articles, original articles, brief reports and correspondence. With the aim of promoting effective and accurate scientific information, an expert panel of referees constitutes the backbone of the peer-review process in evaluating the quality and content of manuscripts submitted for publication.
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