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持续性细胞毒性免疫反应过度在西班牙长新冠队列人群中:诊断生物标志物的鉴定。

Persistent Overactive Cytotoxic Immune Response in a Spanish Cohort of Individuals With Long-COVID: Identification of Diagnostic Biomarkers.

机构信息

Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, Madrid, Spain.

School of Telecommunications Engineering, Universidad Politécnica de Madrid, Madrid, Spain.

出版信息

Front Immunol. 2022 Mar 25;13:848886. doi: 10.3389/fimmu.2022.848886. eCollection 2022.

DOI:10.3389/fimmu.2022.848886
PMID:35401523
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8990790/
Abstract

Long-COVID is a new emerging syndrome worldwide that is characterized by the persistence of unresolved signs and symptoms of COVID-19 more than 4 weeks after the infection and even after more than 12 weeks. The underlying mechanisms for Long-COVID are still undefined, but a sustained inflammatory response caused by the persistence of SARS-CoV-2 in organ and tissue sanctuaries or resemblance with an autoimmune disease are within the most considered hypotheses. In this study, we analyzed the usefulness of several demographic, clinical, and immunological parameters as diagnostic biomarkers of Long-COVID in one cohort of Spanish individuals who presented signs and symptoms of this syndrome after 49 weeks post-infection, in comparison with individuals who recovered completely in the first 12 weeks after the infection. We determined that individuals with Long-COVID showed significantly increased levels of functional memory cells with high antiviral cytotoxic activity such as CD8 TEMRA cells, CD8TCRγδ cells, and NK cells with CD56CD57NKG2C phenotype. The persistence of these long-lasting cytotoxic populations was supported by enhanced levels of CD4 Tregs and the expression of the exhaustion marker PD-1 on the surface of CD3 T lymphocytes. With the use of these immune parameters and significant clinical features such as lethargy, pleuritic chest pain, and dermatological injuries, as well as demographic factors such as female gender and O blood type, a Random Forest algorithm predicted the assignment of the participants in the Long-COVID group with 100% accuracy. The definition of the most accurate diagnostic biomarkers could be helpful to detect the development of Long-COVID and to improve the clinical management of these patients.

摘要

长新冠是一种新出现的全球综合征,其特征是在感染后 4 周以上甚至 12 周以上,持续存在 COVID-19 未解决的体征和症状。长新冠的潜在机制仍未定义,但由 SARS-CoV-2 在器官和组织避难所中持续存在或与自身免疫性疾病相似引起的持续炎症反应是最被考虑的假说之一。在这项研究中,我们分析了几个人口统计学、临床和免疫学参数作为西班牙一组在感染后 49 周出现该综合征体征和症状的个体的长新冠诊断生物标志物的有用性,与在感染后 12 周内完全康复的个体进行比较。我们发现,长新冠患者表现出显著增加的具有高抗病毒细胞毒性活性的功能性记忆细胞水平,如 CD8 TEMRA 细胞、CD8TCRγδ 细胞和具有 CD56CD57NKG2C 表型的 NK 细胞。这些持久的细胞毒性群体的存在得到了增强的 CD4 Treg 水平和 CD3 T 淋巴细胞表面耗竭标志物 PD-1 的表达的支持。使用这些免疫参数以及显著的临床特征,如乏力、胸膜炎性胸痛和皮肤病损伤,以及人口统计学特征,如女性性别和 O 血型,随机森林算法预测参与者分配到长新冠组的准确率达到 100%。定义最准确的诊断生物标志物可能有助于检测长新冠的发展,并改善这些患者的临床管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9625/8990790/6e19b3beaee5/fimmu-13-848886-g006.jpg
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