氧化应激诱导的血浆蛋白变化可能是即将发生严重登革热感染的一个预测指标。

Oxidative stress induced changes in plasma protein can be a predictor of imminent severe dengue infection.

作者信息

Soundravally R, Sankar P, Hoti S L, Selvaraj N, Bobby Z, Sridhar M G

机构信息

Department of Molecular Biology and Bioinformatics, Vector Control Research Centre, Pondicherry, India.

出版信息

Acta Trop. 2008 Jun;106(3):156-61. doi: 10.1016/j.actatropica.2008.03.001. Epub 2008 Mar 13.

DOI:10.1016/j.actatropica.2008.03.001

PMID:18420173

Abstract

OBJECTIVES

Oxidative stress in dengue viral infection has been suggested and severity of it was found to be associated with progress of illness. Hence assessing oxidative stress mediated changes in plasma proteins can be an early biomarker for prediction of severe dengue infection.

DESIGN AND METHODS

Thirty two dengue hemorrhagic fever (DHF), 21 dengue shock syndrome (DSS), 27 dengue fever (DF) and 63 age and sex matched controls, were included in this study. Blood samples were collected on the 3rd day of fever. Protein carbonylation (PCOs) and protein-bound sulphydryl (PBSH) group levels were determined by spectrophotometric method and analyzed as predictor of dengue hemorrhagic fever and dengue shock syndrome.

RESULTS

About 80-84% of cases presented with no signs of DHF/DSS at the time of sampling. Dengue infected individuals had significantly elevated PCOs and low PBSH group levels than the controls. Using one-way ANOVA we found a significant difference with high PCOs and low PBSH group levels between DHF and DSS when compared with DF (P<0.001). However, no difference was observed in PBSH group levels between DHF and DSS. A significant difference in PCOs to PBSH ratio was observed among DF, DHF and DSS (P<0.001). Linear regression analysis revealed that duration of hospitalization is dependent on PCOs and PBSH group levels. Receiver operator curve (ROC) analysis indicated that 5.22nmol/mg protein PCOs; 1.08 PCOs to PBSH group levels ratio were optimal cutoff value for predicting DHF with sensitivity and specificity of 87.5% and 74.1%; 96.9% and 81.5%, respectively. For DSS prediction, 6.13 nmol/mg protein PCOs; 1.16 PCOs to PBSH group levels ratio were found as effective cutoff with sensitivity and specificity of 81% and 71.9%; 95.2% and 56.2%, respectively.

CONCLUSION

Oxidative stress has been observed to develop since early days of onset of dengue infection. Plasma PCOs, PCOs to PBSH group ratio were found to very well predict DHF/DSS.

摘要

目的

已有研究表明登革病毒感染存在氧化应激，且其严重程度与疾病进展相关。因此，评估氧化应激介导的血浆蛋白变化可能是预测重症登革热感染的早期生物标志物。

设计与方法

本研究纳入了32例登革出血热（DHF）患者、21例登革休克综合征（DSS）患者、27例登革热（DF）患者以及63例年龄和性别匹配的对照者。在发热第3天采集血样。采用分光光度法测定蛋白羰基化（PCOs）和蛋白结合巯基（PBSH）基团水平，并将其作为登革出血热和登革休克综合征的预测指标进行分析。

结果

约80 - 84%的病例在采样时无登革出血热/登革休克综合征的迹象。登革热感染个体的PCOs水平显著升高，PBSH基团水平低于对照组。通过单因素方差分析，我们发现与登革热相比，登革出血热和登革休克综合征的PCOs水平高且PBSH基团水平低，差异有统计学意义（P<0.001）。然而，登革出血热和登革休克综合征之间的PBSH基团水平未观察到差异。登革热、登革出血热和登革休克综合征之间的PCOs与PBSH比值存在显著差异（P<0.001）。线性回归分析显示住院时间取决于PCOs和PBSH基团水平。受试者工作特征曲线（ROC）分析表明，对于预测登革出血热，蛋白羰基化水平为5.22nmol/mg蛋白；PCOs与PBSH基团水平比值为1.08是最佳截断值，敏感性和特异性分别为87.5%和74.1%；96.9%和81.5%。对于预测登革休克综合征，蛋白羰基化水平为6.13nmol/mg蛋白；PCOs与PBSH基团水平比值为1.16是有效截断值，敏感性和特异性分别为81%和71.9%；95.2%和56.2%。