Evidence map›Paper›PMID 42538555›Full record

Observational studyBMC infectious diseases2026

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

Piya Paul Mudgal, Silvia Patricia Zuniga Veliz, Magda Lourda, Trupti Satish Kadni, Muralidhar Varma, Anup Mazumder, Sandeep Budhiraja, Namita Jaggi, Chiranjay Mukhopadhyay, Sagar Sengupta and 7 more

Registry-linked trialAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06751836 (Advancing Pandemic Preparedness), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06751836 recruitingnot on this map

Advancing Pandemic Preparedness: Innovative Multidisciplinary Strategies for COMBATing Severe Dengue

TypeobservationalSponsorKarolinska InstitutetRan2025 to 2029Enrolled1,400ConditionsDENV Without Warning Signs, DENV with Warning Signs, Severe Dengue, Healthy Controls Group - Age and Sex-matchedArmsInfection and no infection
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Piya Paul MudgalManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, India.
Silvia Patricia Zuniga VelizBioBox Guatemala, Guatemala City, Guatemala.
Magda LourdaCenter for Systems Infection Biology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Trupti Satish KadniManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, India.
Muralidhar VarmaDepartment of Infectious Diseases, Kasturba Medical College, Manipal, India.
Anup MazumderBiotechnology Research and Innovation Council - National Institute of Biomedical Genomics (BRIC-NIBMG), Kalyani, West Bengal, 741251, India.
Sandeep BudhirajaMax Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi, 110017, India.
Namita JaggiInfection Control, Artemis Hospital, Delhi, India.
Chiranjay MukhopadhyayManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, India.
Sagar SenguptaBiotechnology Research and Innovation Council - National Institute of Biomedical Genomics (BRIC-NIBMG), Kalyani, West Bengal, 741251, India.
Arindam MaitraBiotechnology Research and Innovation Council - National Institute of Biomedical Genomics (BRIC-NIBMG), Kalyani, West Bengal, 741251, India.
Kristina HugMedical Ethics, Department of Clinical Sciences, Lund Faculty of Medicine, Lund University, BMC I12, Lund, 22184, Sweden.
Indranil SinhaCenter for Systems Infection Biology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Anoop T AmbikanCenter for Systems Infection Biology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Iva FilipovicCenter for Systems Infection Biology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Ujjwal NeogiCenter for Systems Infection Biology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden. ujjwal.neogi@ki.se.ORCID https://orcid.org/0000-0002-0844-3338
COMBAT consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue 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.

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

Indexed as

Severe DengueBiomarkersDengue VirusFemaleGuatemalaHumansIndiaLongitudinal StudiesMetabolomicsMultiomicsProspective StudiesProteomicsBiomarkersBiomarkersDengueGlycomicsMetabolomicsMulti-omicsProteomicsPublic health surveillanceSevere dengueSystems biologyTranscriptomics

Identifiers

PMID42538555
PMCPMC13428414

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.