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主要病毒性疾病中的肥大细胞和嗜碱性粒细胞:它们与新型冠状病毒、甲型流感病毒、艾滋病毒和登革热有何关联?

Mast Cells and Basophils in Major Viral Diseases: What Are the Correlations with SARS-CoV-2, Influenza A Viruses, HIV, and Dengue?

作者信息

Gammeri Luca, Sanfilippo Serena, Alessandrello Clara, Gangemi Sebastiano, Minciullo Paola Lucia

机构信息

Department of Clinical and Experimental Medicine, School and Operative Unit of Allergy and Clinical Immunology, University of Messina, 98125 Messina, Italy.

出版信息

Cells. 2024 Dec 11;13(24):2044. doi: 10.3390/cells13242044.

Abstract

The SARS-CoV-2 pandemic has significantly impacted global health and has led the population and the scientific community to live in fear of a future pandemic. Based on viral infectious diseases, innate immunity cells such as mast cells and basophils play a fundamental role in the pathogenesis of viral diseases. Understanding these mechanisms could be essential to better study practical therapeutic approaches not only to COVID-19 but also to other viral infections widely spread worldwide, such as influenza A, HIV, and dengue. In this literature review, we want to study these concepts. Mast cells and basophils intervene as a bridge between innate and acquired immunity and seem to have a role in the damage mechanisms during infection and in the stimulation of humoral and cellular immunity. In some cases, these cells can act as reservoirs and favor the replication and spread of the virus in the body. Understanding these mechanisms can be useful not only in therapeutic but also in diagnostic and prognostic perspectives. The prospects of applying artificial intelligence and machine learning algorithms for the creation of very accurate diagnostic/prognostic tools are interesting.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行对全球健康产生了重大影响,使民众和科学界生活在对未来大流行的恐惧之中。基于病毒感染性疾病,肥大细胞和嗜碱性粒细胞等固有免疫细胞在病毒性疾病的发病机制中发挥着重要作用。了解这些机制不仅对于更好地研究针对2019冠状病毒病(COVID-19),而且对于研究全球广泛传播的其他病毒感染,如甲型流感、艾滋病病毒和登革热的实际治疗方法可能至关重要。在这篇文献综述中,我们希望研究这些概念。肥大细胞和嗜碱性粒细胞作为固有免疫和获得性免疫之间的桥梁发挥作用,并且似乎在感染期间的损伤机制以及体液免疫和细胞免疫的刺激中发挥作用。在某些情况下,这些细胞可充当病毒库,促进病毒在体内的复制和传播。了解这些机制不仅在治疗方面有用,而且在诊断和预后方面也有用。应用人工智能和机器学习算法创建非常准确的诊断/预后工具的前景很有意思。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d30c/11674676/1bcf41366431/cells-13-02044-g001.jpg

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