Early prediction of COVID-19 severity using extracellular vesicle COPB2
| العنوان: | Early prediction of COVID-19 severity using extracellular vesicle COPB2 |
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| المؤلفون: | Tetsuya Horino, Mitsuru Miyato, Jun Araya, Juntaro Matsuzaki, Naoaki Watanabe, Yohei Sakamoto, Makiko Miyajima, Kwangyole Lee, Kenji Sawaki, Yusuke Yoshioka, Kazuyoshi Kuwano, Yusuke Hosaka, Tsukasa Kadota, Kazuhiko Nakaharai, Hironori Kawamoto, Yu Fujita, Ryo Nakagawa, Masaki Yoshida, Takahiro Ochiya, Shota Fujimoto, Tokio Hoshina |
| المصدر: | Journal of Extracellular Vesicles Journal of Extracellular Vesicles, Vol 10, Iss 8, Pp n/a-n/a (2021) |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0301 basic medicine, medicine.medical_specialty, Histology, Coronavirus disease 2019 (COVID-19), Asymptomatic, Gastroenterology, Coatomer Protein, Severity of Illness Index, SARS‐CoV‐2, 03 medical and health sciences, Extracellular Vesicles, 0302 clinical medicine, COVID‐19, Internal medicine, medicine, Extracellular, Humans, Pathological, Research Articles, Retrospective Studies, Predictive marker, QH573-671, business.industry, SARS-CoV-2, COVID-19, Cell Biology, Extracellular vesicle, COPB2, extracellular RNA, 030104 developmental biology, 030220 oncology & carcinogenesis, Cohort, biomarker, extracellular vesicle, medicine.symptom, business, Cytology, Cell-Free Nucleic Acids, Biomarkers, Research Article |
| الوصف: | The clinical manifestations of COVID‐19 vary broadly, ranging from asymptomatic infection to acute respiratory failure and death. But the predictive biomarkers for characterizing the variability are still lacking. Since emerging evidence indicates that extracellular vesicles (EVs) and extracellular RNAs (exRNAs) are functionally involved in a number of pathological processes, we hypothesize that these extracellular components may be key determinants and/or predictors of COVID‐19 severity. To test our hypothesis, we collected serum samples from 31 patients with mild COVID‐19 symptoms at the time of their admission for discovery cohort. After symptomatic treatment without corticosteroids, 9 of the 31 patients developed severe/critical COVID‐19 symptoms. We analyzed EV protein and exRNA profiles to look for correlations between these profiles and COVID‐19 severity. Strikingly, we identified three distinct groups of markers (antiviral response‐related EV proteins, coagulation‐related markers, and liver damage‐related exRNAs) with the potential to serve as early predictive biomarkers for COVID‐19 severity. As the best predictive marker, EV COPB2 protein, a subunit of the Golgi coatomer complex, exhibited significantly higher abundance in patients remained mild than developed severe/critical COVID‐19 and healthy controls in discovery cohort (AUC 1.00 (95% CI: 1.00‐1.00)). The validation set included 40 COVID‐19 patients and 39 healthy controls, and showed exactly the same trend between the three groups with excellent predictive value (AUC 0.85 (95% CI: 0.73‐0.97)). These findings highlight the potential of EV COPB2 expression for patient stratification and for making early clinical decisions about strategies for COVID‐19 therapy. |
| تدمد: | 2001-3078 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19670a3a8cf17a3de0087ff7a278d8b3Test https://pubmed.ncbi.nlm.nih.gov/34122778Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....19670a3a8cf17a3de0087ff7a278d8b3 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20013078 |
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