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鉴定 CXCL9 趋化因子作为评估 COVID-19 患者临床严重程度的潜在生物标志物。

Identification of CXCL9 chemokine as a potential biomarker for assessing clinical severity in COVID-19 patients.

机构信息

Scientific department, Reference Laboratory, Administration, Research Institute of Virology, Tashkent, Uzbekistan.

Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

出版信息

J Infect Dev Ctries. 2024 May 30;18(5):672-678. doi: 10.3855/jidc.18537.

Abstract

INTRODUCTION

The severity and clinical outcome of COVID-19 depend on virus-specific factors and the host's inflammatory response. Identifying biomarkers of severe COVID-19 is a crucial condition and predicts disease severity.

METHODOLOGY

This study enrolled a total of 167 patients with COVID-19. These patients were categorized into three groups based on the severity of the disease: moderate course - 78 individuals, severe course - 52 individuals, and extremely severe course - 37 individuals. We analyzed chemokines (IP-10, CXCL9, CCL17) and cytokine IL28B levels using the enzyme immunoassay (EIA) method.

RESULTS

CXCL9 levels were increased in severe and extremely severe cases compared to moderate ones. The CCL17 chemokine demonstrated significant elevation in severe cases. However, there was no significant difference in the level of IP-10, and IL28B in the compared groups.

CONCLUSIONS

Our findings suggest that CXCL9 and CCL17 chemokines could be used as biomarkers to assess the clinical status of patients with COVID-19 and can relate to disease severity. These biomarkers could aid in identifying patients at high risk for severe disease and help guide clinical decision-making for the effective management of COVID-19.

摘要

简介

COVID-19 的严重程度和临床结果取决于病毒特异性因素和宿主的炎症反应。识别严重 COVID-19 的生物标志物是一个关键条件,可以预测疾病的严重程度。

方法

本研究共纳入 167 名 COVID-19 患者。这些患者根据疾病的严重程度分为三组:中度病程-78 人,重度病程-52 人,极重度病程-37 人。我们使用酶联免疫吸附测定(EIA)法分析趋化因子(IP-10、CXCL9、CCL17)和细胞因子 IL28B 水平。

结果

与中度病程相比,重度和极重度病程的 CXCL9 水平升高。严重病例的趋化因子 CCL17 显著升高。然而,在比较组中,IP-10 和 IL28B 的水平没有显著差异。

结论

我们的研究结果表明,趋化因子 CXCL9 和 CCL17 可作为评估 COVID-19 患者临床状况的生物标志物,并与疾病严重程度相关。这些生物标志物可以帮助识别患有严重疾病的高风险患者,并有助于为 COVID-19 的有效管理提供临床决策。

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