학술논문

Plasma proteomics-based biomarkers for predicting response to mesenchymal stem cell therapy in severe COVID-19
Document Type
article
Source
Stem Cell Research & Therapy, Vol 14, Iss 1, Pp 1-11 (2023)
Subject
COVID-19
Mesenchymal stem cells
Proteomics
Predictive model
Medicine (General)
R5-920
Biochemistry
QD415-436
Language
English
ISSN
1757-6512
Abstract
Abstract Background The objective of this study was to identify potential biomarkers for predicting response to MSC therapy by pre-MSC treatment plasma proteomic profile in severe COVID-19 in order to optimize treatment choice. Methods A total of 58 patients selected from our previous RCT cohort were enrolled in this study. MSC responders (n = 35) were defined as whose resolution of lung consolidation ≥ 51.99% (the median value for resolution of lung consolidation) from pre-MSC to 28 days post-MSC treatment, while non-responders (n = 23) were defined as whose resolution of lung consolidation