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Background <p>Dengue virus (DENV) infection poses a major global public health burden, particularly in endemic regions where repeated exposure increases the risk of severe disease. Despite revisions to the World Health Organization (WHO) dengue classification, early prediction of progression to severe dengue remains challenging due to overlapping clinical and laboratory features. Current management strategies rely primarily on supportive care and reactive monitoring, underscoring the need for predictive biomarkers that enable early risk stratification and timely intervention.</p> Methods <p>COMBAT is a prospective, multicenter, observational longitudinal study conducted in dengue-endemic regions of Guatemala and India. Patients will be classified according to WHO 2009 criteria into dengue without warning signs, dengue with warning signs, and severe dengue, alongside age- and sex-matched healthy controls. A single blood sample will be collected from non-hospitalized patients while two blood samples per participant will be collected during hospitalization and one at discharge. Multi-omics analyses, including transcriptomics, proteomics, glycomics and metabolomics, will be performed in a discovery cohort and validated in an independent cohort. Integrated systems biology approaches will be used to identify host immune and metabolic pathways associated with dengue severity in a mechanism-based prognostic biomarker discovery.</p> Discussion <p>This study aims to generate comprehensive systems-level insights into host–virus interactions driving dengue severity and to identify biomarkers predictive of disease progression. The findings may inform improved patient triage, early intervention strategies, and the identification of novel therapeutic targets.</p> Trial registration <p><a href="https://clinicaltrials.gov/">ClinicalTrials.gov</a> ID NCT06751836 Registration Date: December 13, 2024, CTRI/2022/10/046293 (MAHE) Registration Date: October 10, 2022.</p>

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A multicenter prospective observational multi-omics study protocol to identify biomarkers for severe dengue: COMBAT study clinical protocol

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月31日

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  • Piya Paul Mudgal,
  • Silvia Patricia Zuniga Veliz,
  • Magda Lourda,
  • Trupti Satish Kadni,
  • Muralidhar Varma,
  • Anup Mazumder,
  • Sandeep Budhiraja,
  • Namita Jaggi,
  • Chiranjay Mukhopadhyay,
  • Sagar Sengupta,
  • Arindam Maitra,
  • Kristina Hug,
  • Indranil Sinha,
  • Anoop T. Ambikan,
  • Iva Filipovic,
  • Ujjwal Neogi,
  • Matti Sällberg,
  • Christian Giske,
  • Soham Gupta,
  • Gustaf Gustaf Ahlé,
  • Jose Inzunza,
  • Mukesh Varshney,
  • Annika Charlotte Karlsson,
  • Ali Mirazimi,
  • Ákos Végvári,
  • Sofja Poznakovs,
  • Teresa Stellaccio,
  • Surender Rawat,
  • Birgitta Lindqvist,
  • Panagiotis Andriopoulos,
  • Dasja Pajkrt,
  • Adithya Sridhar,
  • Henk Marquering,
  • Nina Johannesson,
  • Amber Schotting,
  • Renata Vieira de Sá,
  • Balpreet Singh Ahluwalia,
  • Vishesh Kumar Dubey,
  • Rajkumar Savai,
  • Soni Pullamsetti,
  • Jonathan Andrew,
  • Maurizio Aiello,
  • Jacopo Furci,
  • Elisabetta Palamà,
  • Silvia Scaglione,
  • Sarantis Chlamydas,
  • Øystein Ivar Helle,
  • Goran Josipovic,
  • Irena Trbojevic-Akmacic,
  • Edson Jose Adrian Bolanos Lima,
  • Leticia Castillo Signor,
  • Kamal Singh,
  • Manjula Kalia,
  • Arup Banerjee,
  • Atul Thata,
  • Nishi Raj Sharma,
  • Varun Surolia,
  • Priyanka Sharma

摘要

Background

Dengue virus (DENV) infection poses a major global public health burden, particularly in endemic regions where repeated exposure increases the risk of severe disease. Despite revisions to the World Health Organization (WHO) dengue classification, early prediction of progression to severe dengue remains challenging due to overlapping clinical and laboratory features. Current management strategies rely primarily on supportive care and reactive monitoring, underscoring the need for predictive biomarkers that enable early risk stratification and timely intervention.

Methods

COMBAT is a prospective, multicenter, observational longitudinal study conducted in dengue-endemic regions of Guatemala and India. Patients will be classified according to WHO 2009 criteria into dengue without warning signs, dengue with warning signs, and severe dengue, alongside age- and sex-matched healthy controls. A single blood sample will be collected from non-hospitalized patients while two blood samples per participant will be collected during hospitalization and one at discharge. Multi-omics analyses, including transcriptomics, proteomics, glycomics and metabolomics, will be performed in a discovery cohort and validated in an independent cohort. Integrated systems biology approaches will be used to identify host immune and metabolic pathways associated with dengue severity in a mechanism-based prognostic biomarker discovery.

Discussion

This study aims to generate comprehensive systems-level insights into host–virus interactions driving dengue severity and to identify biomarkers predictive of disease progression. The findings may inform improved patient triage, early intervention strategies, and the identification of novel therapeutic targets.

Trial registration

ClinicalTrials.gov ID NCT06751836 Registration Date: December 13, 2024, CTRI/2022/10/046293 (MAHE) Registration Date: October 10, 2022.