IP-10, MIP1α, IL-6, and IL-1β as Biomarkers Associated with Disease Severity of COVID-19

IF 0.5 4区 医学 Q4 MICROBIOLOGY Jundishapur Journal of Microbiology Pub Date : 2024-06-09 DOI:10.5812/jjm-144812
Sanaz Paikar, N. Bahrami, Robab Rafiei Tabatabai, A. Mohamadnia
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Abstract

Background: The factors responsible for the progression of COVID-19 from a mild illness to a severe and often lethal condition, characterized by respiratory failure and multiple organ involvement, remain unclear. The identification of biomarkers capable of predicting disease progression is of the highest importance. Objectives: This study sought to assess laboratory measurements of interferon-gamma inducible protein-10 (IP-10), macrophage inflammatory protein 1-alpha (MIP1α), interleukin-6 (IL-6), and interleukin-1 beta (IL-1β) to achieve this objective. Methods: We measured IP-10 and MIP1α by qRT-PCR and IL-6 and IL-1β using an enzyme-linked immunosorbent assay in 120 serum samples. We analyzed differences between patients with moderate, severe, and recovered COVID-19. Results: The number of positive cases for biomarkers IP-10, MIP1α, IL-6, and IL-1β were significantly different between groups. The expression levels of IP-10 and MIP1α were significantly higher in patients with severe COVID-19 compared to those who had recovered. A strong positive association was observed between IP-10 and MIP1α in severe infection cases. Additionally, these biomarkers were relatively independent predictors of disease severity. Conclusions: The results suggest that IP-10, MIP1α, IL-6, and IL-1β are promising research candidates for understanding the severity of COVID-19 and for investigating possible pathophysiological mechanisms of the disease.
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IP-10、MIP1α、IL-6 和 IL-1β 是与 COVID-19 疾病严重程度相关的生物标记物
背景:导致 COVID-19 从一种轻微疾病发展为严重且往往致命的疾病(以呼吸衰竭和多器官受累为特征)的因素仍不清楚。确定能够预测疾病进展的生物标志物至关重要。研究目的本研究试图评估干扰素-γ诱导蛋白-10(IP-10)、巨噬细胞炎症蛋白 1-α(MIP1α)、白细胞介素-6(IL-6)和白细胞介素-1β(IL-1β)的实验室测量值,以实现这一目标。方法我们用 qRT-PCR 法检测了 120 份血清样本中的 IP-10 和 MIP1α,用酶联免疫吸附法检测了 IL-6 和 IL-1β。我们分析了中度、重度和恢复期 COVID-19 患者之间的差异。结果显示各组间生物标志物 IP-10、MIP1α、IL-6 和 IL-1β 的阳性病例数有显著差异。与康复患者相比,重度 COVID-19 患者的 IP-10 和 MIP1α 表达水平明显更高。在重症感染病例中,IP-10 和 MIP1α 的表达呈强正相关。此外,这些生物标志物还是疾病严重程度的相对独立预测因子。结论研究结果表明,IP-10、MIP1α、IL-6 和 IL-1β 是了解 COVID-19 严重程度和研究该疾病可能的病理生理机制的有前途的候选研究指标。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
56
审稿时长
6-12 weeks
期刊介绍: Jundishapur Journal of Microbiology, (JJM) is the official scientific Monthly publication of Ahvaz Jundishapur University of Medical Sciences. JJM is dedicated to the publication of manuscripts on topics concerning all aspects of microbiology. The topics include medical, veterinary and environmental microbiology, molecular investigations and infectious diseases. Aspects of immunology and epidemiology of infectious diseases are also considered.
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