Expression dynamics of vascular endothelial markers: endoglin and syndecan-1 in predicting dengue disease outcome
| Autor: | Joshy M Easow, Vignesh Mariappan, Agieshkumar Balakrishna Pillai, Shalinda Adikari, Lokesh Shanmugam |
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| Rok vydání: | 2021 |
| Předmět: |
Male
0301 basic medicine media_common.quotation_subject Gene Expression India Severity of Illness Index Syndecan 1 Dengue fever Dengue 03 medical and health sciences 0302 clinical medicine Physiology (medical) Humans Medicine Prospective Studies RNA Messenger media_common Messenger RNA business.industry Convalescence Biochemistry (medical) Endoglin Public Health Environmental and Occupational Health Endothelial Cells General Medicine Prognosis medicine.disease 030104 developmental biology Mrna level 030220 oncology & carcinogenesis Immunology Biomarker (medicine) Female Syndecan-1 business Dengue disease Biomarkers |
| Zdroj: | Translational Research. 232:121-141 |
| ISSN: | 1931-5244 |
| DOI: | 10.1016/j.trsl.2021.02.001 |
| Popis: | Plasma leakage is a hallmark process in dengue viral (DENV) infection that occurs due to the loss of vascular integrity in endothelial cells. Endoglin (ENG) and Syndecan-1 (SDC-1) are released by activated endothelial cells; however, the complete dynamics of its expression at the gene and protein levels during the course of DENV infection remains unknown. In the present study, we quantified the mRNA and soluble protein levels of ENG and SDC-1 in dengue cases during febrile, defervescence, and convalescence stages in Dengue without Warning Sign (DWOW-15), Dengue with Warning Sign (DWW-22), and Severe Dengue cases (SD-10) compared to nondengue Other Febrile Illness (OFI-10) and healthy control (HC-8). Respective protein and mRNA levels along with clinical characters were further analyzed for their efficacy in predicting disease outcomes using Support Vector Machine (SVM). We observed a steady and significant (P ≤ 0.01) increase in the levels of protein and mRNA of both the ENG and SDC-1 towards defervescence which is considered a critical phase in both severe and non-severe dengue cases. Importantly during the critical phase, the levels were significantly higher (P ≤ 0.001) in SD cases compared to DWW, DWOW, and OFI controls. However, at the time of admission (febrile), no such significant changes were observed within dengue, OFI, and healthy controls. SVM analysis revealed that the serum levels of ENG and SDC-1 along with other clinical symptoms could predict the disease severity with 100% accuracy. Based on the results we have proposed a mechanism on how ENG and SDC-1 could be involved in vascular dysfunction rather than just being a biomarker. |
| Databáze: | OpenAIRE |
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