Multidisciplinary Study Using Advanced Techniques to Understand and Predict Severe Dengue Infection

What this Trial Is About

Researchers are investigating biomarkers and host factors linked to dengue severity in patients from regions where dengue is common. The study aims to determine if multi-omics techniques can predict disease severity and identify key factors involved in severe dengue infections. This observational research focuses on understanding how dengue virus manipulates host metabolism and immune responses to better predict disease progression and find new treatment targets. Participants include individuals with dengue infection classified by severity dengue without warning signs, dengue with warning signs, severe dengue, and a group of healthy controls. Blood samples will be collected at hospitalization and discharge and analyzed using transcriptomics, proteomics, and metabolomics. The study includes discovery cohorts from Guatemala and validation cohorts from India, aiming to explore viral serotypes, host cytokine profiles, and cellular pathways involved in disease severity. During the study, participants will provide blood samples for detailed laboratory analysis. Researchers will measure biomarkers to understand immune responses and disease mechanisms. The primary outcome is discovering predictive biomarkers and developing an AI tool for dengue severity, monitored from enrollment until two weeks after hospitalization. The study also involves matching controls for age and gender, with careful screening to exclude recent dengue infections.

Innovative Multidisciplinary Strategies for Combating Severe Dengue