流感、SARS-CoV-2 及其对慢性肺病和纤维化的影响--探索治疗方案。

IF 4.7 2区 医学 Q1 PATHOLOGY
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引用次数: 0

摘要

呼吸道感染是一个重大的全球公共卫生问题,对儿童、老年人和免疫力低下者等易感人群的影响尤为严重。RNA 病毒,特别是流感病毒(IVs)和冠状病毒(CoVs),是导致呼吸道疾病的主要原因,尤其是在免疫抑制人群和老年人中。甲型流感病毒(IAVs)和严重急性呼吸系统综合症冠状病毒 2(SARS-CoV-2)每年都会引发流行病,对公共卫生产生深远影响,因而继续对全球健康构成威胁。此外,全球预期寿命的延长也影响着呼吸道病毒感染的动态和结果。因此,了解 IAV 和 SARS-CoV-2 导致肺部疾病进展的分子机制至关重要。本综述旨在全面探讨 IAVs 和 SARS-CoV-2 对慢性肺部疾病的影响,特别关注老年人肺纤维化。它还概述了潜在的预防和治疗策略,并提出了未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Influenza, SARS-CoV-2, and Their Impact on Chronic Lung Diseases and Fibrosis

Influenza, SARS-CoV-2, and Their Impact on Chronic Lung Diseases and Fibrosis
Respiratory tract infections represent a significant global public health concern, disproportionately affecting vulnerable populations such as children, the elderly, and immunocompromised individuals. RNA viruses, particularly influenza viruses and coronaviruses, significantly contribute to respiratory illnesses, especially in immunosuppressed and elderly individuals. Influenza A viruses (IAVs) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to pose global health threats due to their capacity to cause annual epidemics, with profound implications for public health. In addition, the increase in global life expectancy is influencing the dynamics and outcomes of respiratory viral infections. Understanding the molecular mechanisms by which IAVs and SARS-CoV-2 contribute to lung disease progression is therefore crucial. The aim of this review is to comprehensively explore the impact of IAVs and SARS-CoV-2 on chronic lung diseases, with a specific focus on pulmonary fibrosis in the elderly. It also outlines potential preventive and therapeutic strategies and suggests directions for future research.
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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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