Identifying protein biomarkers in predicting disease severity of dengue virus infection using immune-related protein microarray

• Main Authors: Soe, Hui Jen, Yong, Yean K., Al-Obaidi, Mazen M. Jamil, Samudi, Chandramathi, Gudimella, Ranganath, Manikam, Rishya, Sekaran, Shamala Devi
• Format: Article
• Published: Lippincott, Williams & Wilkins 2018
• Subjects: R Medicine
• Online Access: http://eprints.um.edu.my/20642/; https://doi.org/10.1097/MD.0000000000009713

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.