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Potential of extracellular vesicles for early prediction of severity and potential risk stratification in critical inflammatory diseases

Some acute inflammatory diseases are often exacerbated during or after hospitalization, leading to some severe manifestations like systemic inflammatory response syndrome, multiple organ failure, and high mortality. Early clinical predictors of disease severity are urgently needed to optimize patien...

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Detalles Bibliográficos
Autores principales: Deng, Yuchuan, Zou, Yu, Song, Xiaoshuang, Jiang, Ailing, Wang, Mao, Qin, Qin, Song, Yiran, Yue, Chao, Yang, Dujiang, Yu, Bo, Lu, Huimin, Zheng, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189682/
https://www.ncbi.nlm.nih.gov/pubmed/37195382
http://dx.doi.org/10.1007/s12079-023-00763-w
Descripción
Sumario:Some acute inflammatory diseases are often exacerbated during or after hospitalization, leading to some severe manifestations like systemic inflammatory response syndrome, multiple organ failure, and high mortality. Early clinical predictors of disease severity are urgently needed to optimize patient management for better prognosis. The existing clinical scoring system and laboratory tests cannot circumvent the problems of low sensitivity and limited specificity. Extracellular vesicles (EVs) are heterogeneous nanosecretory vesicles containing various biomolecules related to immune regulation, inflammation activation, and inflammation-related complications. This review provides an overview of EVs as inflammatory mediators, inflammatory signaling pathway regulators, promoters of inflammatory exacerbation, and markers of severity and prognosis. Currently, although relevant biomarkers are clinically available or are in the preclinical research stage, searching for new markers and detection methods is still warranted, as the problems of low sensitivity/specificity, cumbersome laboratory operation and high cost still plague clinicians. In-depth study of EVs might open a door in the search for novel predictors. GRAPHICAL ABSTRACT: [Image: see text]