View of the pathogenetic mechanisms of joint damage in coronavirus disease 2019

Bulletin of Taras Shevchenko National University of Kyiv. Series: Biology(2022)

引用 0|浏览2
暂无评分
摘要
The Сoronavirus disease 2019 (COVID-19) pandemic has had an extremely serious impact on the livelihoods of people worldwide. Despite the mainly respiratory manifestations of SARS-CoV-2 infection, its consequences can affect the functioning of most systems of organism, including the musculoskeletal, dysfunction of which is a leading factor in disability of the population. Diseases of the joints are one of the most common pathologie of modernity, which in the last decade are increasingly found in young people and even children. The musculoskeletal symptoms can be observed as isolated clinical signs and expressed regardless of the severity of the viral disease. Chronic fatigue, myalgia, swelling and joint pain may occur during the acute phase of COVID-19 and as short-term or long-term complications, but their prevalence has not been systematically studied. Considering the wide range of clinical manifestations of SARS-CoV-2 infection and the complexity of their pathogenesis, the mechanisms underlying lesions of musculoskeletal system and rheumatological complications remain unclear. Today, the main research in this direction is focused mainly on a complete understanding of the regulatory pathways of immune dysregulation and inflammation. Excessive secretion of pro-inflammatory cytokines, disruption of signal transduction and immune response are the result of the severe impact of SARS-CoV-2 infection on most organs, including joints, as well as the use of corticosteroids for the treatment of patients with COVID-19. The presented review highlights generalized information on the main pathophysiological processes that can occur in the joints as a manifestation of the impact of SARS-CoV-2 infection, and possible key mechanisms which contribute to the progression of pathological changes.
更多
查看译文
关键词
coronavirus disease,joint damage,pathogenetic mechanisms
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要