Soo Kuan-Meng, Khalid Bahariah, Ching Siew-Mooi, Tham Chau Ling, Basir Rusliza, Chee Hui-Yee
Department of Microbiology and Parasitology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Department of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
PeerJ. 2017 Sep 15;5:e3589. doi: 10.7717/peerj.3589. eCollection 2017.
Dengue viral infection is an acute infection that has the potential to have severe complications as its major sequela. Currently, there is no routine laboratory biomarker with which to predict the severity of dengue infection or monitor the effectiveness of standard management. Hence, this meta-analysis compared biomarker levels between dengue fever (DF) and severe dengue infections (SDI) to identify potential biomarkers for SDI.
Data concerning levels of cytokines, chemokines, and other potential biomarkers of DF, dengue hemorrhagic fever, dengue shock syndrome, and severe dengue were obtained for patients of all ages and populations using the Scopus, PubMed, and Ovid search engines. The keywords "(IL1* or IL-1*) AND (dengue*)" were used and the same process was repeated for other potential biomarkers, according to Medical Subject Headings terms suggested by PubMed and Ovid. Meta-analysis of the mean difference in plasma or serum level of biomarkers between DF and SDI patients was performed, separated by different periods of time (days) since fever onset. Subgroup analyses comparing biomarker levels of healthy plasma and sera controls, biomarker levels of primary and secondary infection samples were also performed, as well as analyses of different levels of severity and biomarker levels upon infection by different dengue serotypes.
Fifty-six studies of 53 biomarkers from 3,739 dengue cases (2,021 DF and 1,728 SDI) were included in this meta-analysis. Results showed that RANTES, IL-7, IL-8, IL-10, IL-18, TGF-b, and VEGFR2 levels were significantly different between DF and SDI. IL-8, IL-10, and IL-18 levels increased during SDI (95% CI, 18.1-253.2 pg/mL, 3-13 studies, = 177-1,909, = 98.86%-99.75%). In contrast, RANTES, IL-7, TGF-b, and VEGFR2 showed a decrease in levels during SDI (95% CI, -3238.7 to -3.2 pg/mL, 1-3 studies, = 95-418, = 97.59%-99.99%). Levels of these biomarkers were also found to correlate with the severity of the dengue infection, in comparison to healthy controls. Furthermore, the results showed that IL-7, IL-8, IL-10, TGF-b, and VEGFR2 display peak differences between DF and SDI during or before the critical phase (day 4-5) of SDI.
This meta-analysis suggests that IL-7, IL-8, IL-10, TGF-b, and VEGFR2 may be used as potential early laboratory biomarkers in the diagnosis of SDI. This can be used to predict the severity of dengue infection and to monitor the effectiveness of treatment. Nevertheless, methodological and reporting limitations must be overcome in future research to minimize variables that affect the results and to confirm the findings.
登革病毒感染是一种急性感染,其主要后遗症有可能引发严重并发症。目前,尚无常规实验室生物标志物可用于预测登革热感染的严重程度或监测标准治疗的效果。因此,本荟萃分析比较了登革热(DF)和重症登革热感染(SDI)之间的生物标志物水平,以确定SDI的潜在生物标志物。
使用Scopus、PubMed和Ovid搜索引擎,获取了所有年龄和人群的登革热、登革出血热、登革休克综合征和重症登革热患者的细胞因子、趋化因子及其他潜在生物标志物水平的数据。根据PubMed和Ovid建议的医学主题词,使用关键词“(IL1或IL - 1) AND (登革*)”进行检索,并对其他潜在生物标志物重复相同过程。对DF和SDI患者血浆或血清中生物标志物水平的平均差异进行荟萃分析,按发热开始后的不同时间段(天)进行分组。还进行了亚组分析,比较健康血浆和血清对照的生物标志物水平、原发性和继发性感染样本的生物标志物水平,以及不同严重程度水平和不同登革热血清型感染时的生物标志物水平。
本荟萃分析纳入了来自3739例登革热病例(2021例DF和1728例SDI)的53种生物标志物的56项研究。结果显示,DF和SDI之间RANTES、IL - 7、IL - 8、IL - 10、IL - 18、TGF - b和VEGFR2水平存在显著差异。SDI期间IL - 8、IL - 10和IL - 18水平升高(95%CI,18.1 - 253.2 pg/mL,3 - 13项研究, = 177 - 1909, = 98.86% -
99.75%)。相比之下,SDI期间RANTES、IL - 7、TGF - b和VEGFR2水平下降(95%CI, - 3238.7至 - 3.2 pg/mL,1 - 3项研究, = 95 - 418, = 97.59% - 99.99%)。与健康对照相比,这些生物标志物的水平也与登革热感染的严重程度相关。此外,结果表明,IL - 7、IL - 8、IL - 10、TGF - b和VEGFR2在SDI的关键期(第4 - 5天)或之前,DF和SDI之间显示出峰值差异。
本荟萃分析表明,IL - 7、IL - 8、IL - 10、TGF - b和VEGFR2可能作为SDI诊断中潜在的早期实验室生物标志物。这可用于预测登革热感染的严重程度并监测治疗效果。然而,未来研究必须克服方法学和报告方面的局限性,以尽量减少影响结果的变量并确认研究结果。