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解析急性和新冠后细胞因子模式以应对未来挑战。

Unraveling Acute and Post-COVID Cytokine Patterns to Anticipate Future Challenges.

作者信息

Bekbossynova Makhabbat, Tauekelova Ainur, Sailybayeva Aliya, Kozhakhmetov Samat, Mussabay Karakoz, Chulenbayeva Laura, Kossumov Alibek, Khassenbekova Zhanagul, Vinogradova Elizaveta, Kushugulova Almagul

机构信息

National Research Cardiac Surgery Center, Astana 020000, Kazakhstan.

Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan.

出版信息

J Clin Med. 2023 Aug 11;12(16):5224. doi: 10.3390/jcm12165224.

DOI:10.3390/jcm12165224
PMID:37629267
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10455949/
Abstract

The aims of this study were to analyze cytokine profiles in patients with COVID-19, gain insights into the immune response during acute infection, identify cytokines associated with disease severity and post-COVID complications, and explore potential biomarkers for prognosis and therapeutic targets. Using a multiplex analysis, we studied the cytokine pattern in 294 acute COVID-19 and post-COVID patients with varying severities of infection. Our findings revealed that disease severity was associated with elevated levels of IL-15, IL-8, and fractalkine. Severe/extremely severe forms in comparison with mild/moderate disease were associated with MCP-1, IFNa2, IL-7, IL-15, EGF, IP-10, IL-8, Eotaxin, FGF-2, GROa, sCD40L, and IL-10. The key cytokines of post-COVID are FGF-2, VEGF-A, EGF, IL-12(p70), IL-13, and IL-6. By the sixth month after recovering from a coronavirus infection, regardless of disease severity, some patients may develop complications such as arterial hypertension, type 2 diabetes mellitus, glucose intolerance, thyrotoxicosis, atherosclerosis, and rapid progression of previously diagnosed conditions. Each complication is characterized by distinct cytokine profiles. Importantly, these complications can also be predicted during the acute phase of the coronavirus infection. Understanding cytokine patterns can aid in predicting disease progression, identifying high-risk patients, and developing targeted interventions to improve the outcomes of COVID-19.

摘要

本研究的目的是分析新型冠状病毒肺炎（COVID-19）患者的细胞因子谱，深入了解急性感染期间的免疫反应，确定与疾病严重程度和COVID-19后并发症相关的细胞因子，并探索潜在的预后生物标志物和治疗靶点。我们采用多重分析方法，研究了294例不同感染严重程度的急性COVID-19患者和COVID-19康复后患者的细胞因子模式。我们的研究结果显示，疾病严重程度与白细胞介素-15（IL-15）、白细胞介素-8（IL-8）和 fractalkine水平升高有关。与轻度/中度疾病相比，重度/极重度疾病与单核细胞趋化蛋白-1（MCP-1）、干扰素α2（IFNa2）、白细胞介素-7（IL-7）、白细胞介素-15、表皮生长因子（EGF）、干扰素γ诱导蛋白10（IP-10）、白细胞介素-8、嗜酸性粒细胞趋化因子（Eotaxin）、成纤维细胞生长因子-2（FGF-2）、生长调节致癌基因α（GROa）、可溶性CD40配体（sCD40L）和白细胞介素-10有关。COVID-19康复后的关键细胞因子是FGF-2、血管内皮生长因子-A（VEGF-A）、EGF、白细胞介素-12（p70）、白细胞介素-13和白细胞介素-6。从冠状病毒感染康复后的第六个月，无论疾病严重程度如何，一些患者可能会出现并发症，如动脉高血压、2型糖尿病、葡萄糖不耐受、甲状腺毒症、动脉粥样硬化以及先前诊断疾病的快速进展。每种并发症都有独特的细胞因子谱。重要的是，这些并发症在冠状病毒感染的急性期也可以被预测。了解细胞因子模式有助于预测疾病进展、识别高危患者并制定有针对性的干预措施，以改善COVID-19的治疗结果。

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