Soe, Hui Jen and Yong, Yean K. and Al-Obaidi, Mazen M. Jamil and Samudi, Chandramathi and Gudimella, Ranganath and Manikam, Rishya and Sekaran, Shamala Devi (2018) Identifying protein biomarkers in predicting disease severity of dengue virus infection using immune-related protein microarray. Medicine, 97 (5). e9713. ISSN 0025-7974, DOI https://doi.org/10.1097/MD.0000000000009713.
Full text not available from this repository.Abstract
Dengue virus is one of the most widespread flaviviruses that re-emerged throughout recent decades. The progression from mild dengue to severe dengue (SD) with the complications such as vascular leakage and hemorrhage increases the fatality rate of dengue. The pathophysiology of SD is not entirely clear. To investigate potential biomarkers that are suggestive of pathogenesis of SD, a small panel of serum samples selected from 1 healthy individual, 2 dengue patients without warning signs (DWS-), 2 dengue patients with warning signs (DWS+), and 5 patients with SD were subjected to a pilot analysis using Sengenics Immunome protein array. The overall fold changes of protein expressions and clustering heat map revealed that PFKFB4, TPM1, PDCL3, and PTPN20A were elevated among patients with SD. Differential expression analysis identified that 29 proteins were differentially elevated greater than 2-fold in SD groups than DWS- and DWS+. From the 29 candidate proteins, pathways enrichment analysis also identified insulin signaling and cytoskeleton pathways were involved in SD, suggesting that the insulin pathway may play a pivotal role in the pathogenesis of SD.
| Item Type: | Article |
|---|---|
| Funders: | University Malaya Research Grant RP042A-15HTM and RP042B-15HTM |
| Uncontrolled Keywords: | dengue; hemorrhagic dengue fever; insulin pathway; plasma markers; protein array; severe dengue; TPM1 |
| Subjects: | R Medicine |
| Divisions: | Faculty of Medicine |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 11 Mar 2019 04:42 |
| Last Modified: | 11 Mar 2019 04:42 |
| URI: | http://eprints.um.edu.my/id/eprint/20642 |
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