The goal of this observational study is to identify biomarkers and host factors associated with dengue severity in patients from dengue-endemic regions. The main question it aims to answer is:
Can multi-omics approaches predict disease severity and identify key factors contributing to severe dengue infections?
Participants will include individuals with dengue infection, and the study will analyze their blood samples using multi-omics techniques to uncover host immune responses, disease pathogenesis, and cellular pathway interactions. The study will also assess the role of primary and secondary infections, virus serotypes, and immunological factors in disease progression. Findings aim to support disease management, improve severity prediction, and identify potential therapeutic targets to prevent severe outcomes.
Myalgia, arthralgia
Nausea and/or vomiting
Rashes
Leukopenia Group 2: DENV with warning signs This cohort will include patients with the above symptoms and any of the following clinical signs.
None
* Patients who are pregnant, immunocompromised, or undergoing chemotherapy, on steroids or immunosuppressive drugs in the last year, liver cirrhosis, or coinfection with a non-dengue pathogen. * Cases with a lab-confirmed dengue infection within the past three months will excluded from the case cohort.
Cohort
Prospective
Infection and no infection
Other interventionNo intervention apart from the dengue infection
DISCOVER predictive biomarkers and AI tool for Dengue Severity
This project aims to identify prognostic plasma protein biomarkers for disease severity in dengue virus (DENV) using data from a clinical cohort in an endemic region experiencing a surge in DENV morbidity and mortality. It involves developing a novel consensus association-based gene/protein cooperation network to uncover key host factors driving severe disease. Additionally, the project seeks to create AI-driven prognostic tools for predicting DENV severity by integrating patient demographic and clinical data with gene and protein biomarkers, DENV serotyping, and climate information.
Click on the lead sponsor to view all of their trials.
Karolinska Institutet
Lead sponsor
BIO BOX GUATEMALA ONG DE INVESTIGACIÓN, SERVICIOS Y DE MEDIO AMBIENTE
Collaborator
DEVKI DEVI FOUNDATION SOCIETY, India
Collaborator
MANIPAL ACADEMY OF HIGHER EDUCATION, India
Collaborator
Artemis Medicare Services Ltd., India
Collaborator
