A multicenter prospective observational multi-omics study protocol to identify biomarkers for severe dengue: COMBAT study clinical protocol
BMC Infectious Diseases·
- DOI
- 10.1186/s12879-026-14111-x
- PMID
- 42538555
- PMCID
- —
- OpenAlex
- W7171988257
- Study type
- Journal article
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Why this research matters now
If biomarkers are successfully identified, findings may inform improved patient triage, early intervention strategies, and novel therapeutic targets for dengue management in endemic regions.
Structured evidence summary
Research question
The COMBAT study aims to identify predictive biomarkers for severe dengue progression by investigating host immune and metabolic pathways in dengue-endemic populations, addressing the clinical challenge of early risk stratification given overlapping clinical and laboratory features across dengue severity groups.
Study design
This is a prospective, multicenter, observational longitudinal study protocol using multi-omics analyses (transcriptomics, proteomics, glycomics, metabolomics) with discovery and independent validation cohorts, conducted across dengue-endemic sites in Guatemala and India.
Population and setting
Patients will be enrolled in Guatemala and India, classified by WHO 2009 criteria into three dengue severity groups (without warning signs, with warning signs, and severe dengue) with age- and sex-matched healthy controls.
Main findings
No findings are available; this is a study protocol with anticipated aims to identify biomarkers predictive of dengue severity progression and generate systems-level insights into host-virus interactions.
Public-health relevance
If biomarkers are successfully identified, findings may inform improved patient triage, early intervention strategies, and novel therapeutic targets for dengue management in endemic regions.
Important limitations
This summary is limited to the supplied single-article protocol abstract and requires the original paper for decision-grade interpretation; the study represents a protocol describing planned methodology rather than completed research with findings.
GIDS interpretation
This protocol describes biomarker discovery research in dengue; it does not constitute completed surveillance data or evidence of a live signal, but rather preparatory methodology to understand host factors associated with severe disease progression in endemic settings.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 10 auditable classifier relationships to diseases, places, topics, and study design.