Intrinsic Factors Behind the Long-COVID: V. Immunometabolic Disorders

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Muhamed Adilović, Altijana Hromić-Jahjefendić, Lejla Mahmutović, Jasmin Šutković, Alberto Rubio-Casillas, Elrashdy M. Redwan, Vladimir N. Uversky
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引用次数: 0

Abstract

The complex link between COVID-19 and immunometabolic diseases demonstrates the important interaction between metabolic dysfunction and immunological response during viral infections. Severe COVID-19, defined by a hyperinflammatory state, is greatly impacted by underlying chronic illnesses aggravating the cytokine storm caused by increased levels of Pro-inflammatory cytokines. Metabolic reprogramming, including increased glycolysis and altered mitochondrial function, promotes viral replication and stimulates inflammatory cytokine production, contributing to illness severity. Mitochondrial metabolism abnormalities, strongly linked to various systemic illnesses, worsen metabolic dysfunction during and after the pandemic, increasing cardiovascular consequences. Long COVID-19, defined by chronic inflammation and immune dysregulation, poses continuous problems, highlighting the need for comprehensive therapy solutions that address both immunological and metabolic aspects. Understanding these relationships shows promise for effectively managing COVID-19 and its long-term repercussions, which is the focus of this review paper.

长期covid背后的内在因素:V.免疫代谢紊乱。
COVID-19与免疫代谢疾病之间的复杂联系表明,病毒感染期间代谢功能障碍与免疫反应之间存在重要的相互作用。严重的COVID-19被定义为高炎症状态,受到潜在慢性疾病的严重影响,这些疾病加剧了由促炎细胞因子水平升高引起的细胞因子风暴。代谢重编程,包括糖酵解增加和线粒体功能改变,促进病毒复制,刺激炎症细胞因子的产生,导致疾病严重。与各种全身性疾病密切相关的线粒体代谢异常,在大流行期间和之后加剧了代谢功能障碍,增加了心血管后果。长期的COVID-19以慢性炎症和免疫失调为特征,带来了持续的问题,强调需要同时解决免疫和代谢方面的综合治疗解决方案。了解这些关系有助于有效管理COVID-19及其长期影响,这是本综述的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of cellular biochemistry
Journal of cellular biochemistry 生物-生化与分子生物学
CiteScore
9.90
自引率
0.00%
发文量
164
审稿时长
1 months
期刊介绍: The Journal of Cellular Biochemistry publishes descriptions of original research in which complex cellular, pathogenic, clinical, or animal model systems are studied by biochemical, molecular, genetic, epigenetic or quantitative ultrastructural approaches. Submission of papers reporting genomic, proteomic, bioinformatics and systems biology approaches to identify and characterize parameters of biological control in a cellular context are encouraged. The areas covered include, but are not restricted to, conditions, agents, regulatory networks, or differentiation states that influence structure, cell cycle & growth control, structure-function relationships.
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