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RecruitingNCT06751836COMBATUpdated Feb 10, 2025

Innovative Multidisciplinary Strategies for Combating Severe Dengue

An observational study in DENV Without Warning Signs, DENV with Warning Signs and Severe Dengue, sponsored by Karolinska Institutet. Recruiting at 2 sites in 2 countries. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-02-10.

Sponsored by Karolinska Institutet · Observational

From the registry’s dates

  • Started Jan 2025; still recruiting 1 year 10 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
1,400
Ages
18 Years and older
Sex
All
01

Study summary

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.

Read the detailed description

Background: Many ongoing dengue clinical trials aim to evaluate both therapeutic compounds and potential vaccine candidates. The therapeutic compounds aim to target various stages of dengue virus replication, such as viral entry, by inhibiting virus fusion, NS5 polymerase inhibitor, and NS1 antigenemia reduction, to mention a few. However, an omics-based approach to identifying the metabolic pathways that dengue utilizes to subvert the host system to derive energy from and subsequently deploy viral immune evasion strategies has yet to be established. This study will focus on exploring and understanding the pathways that the dengue virus exploits and investigate if blocking the identified pathway can cause the virus to 'starve.'

  • The study will offer insight into the diverse system-level range of dengue infection markers and the dysregulated molecules involved in cellular and metabolic pathways during dengue infection.
  • The identification of novel pathways affected by molecule dysregulation will unveil the association of the biomarkers with immune response and disease severity, thereby helping to improve patient triage and treatment.
  • The identified biomarkers will be significant in monitoring patients, creating a platform for early intervention to mitigate severe dengue through novel therapeutic targets and management strategies.

The primary objectives of the proposed study are:

  • Case-wise viral serotyping and investigation of host cytokine profile.
  • System-wide blood-transcriptomics and proteomics during dengue infection and its relationship with disease severity.
  • Identification of pathways influencing severity by in vitro mechanistic studies.

Study Cohorts:

Clinical material from two endemic regions, one from Central America (Guatemala) and Southeast Asia (India) will be used. Guatemala is an exemplary location for studying the DENV infection, owing to its distinctive combination of climatic diversity and endemic and dengue presence. Two blood samples (on the day of hospitalization and the day of discharge) from the patients will be collected as per the WHO revised 2009 case classification: 1) dengue without warning signs (DwoWS, n=200), 2) dengue with warning signs (DWS, n=200), 3) severe dengue (SD, n=200). Additionally, non-dengue samples will be collected from healthy controls (n=200). This cohort will act as the DISCOVERY cohort. We will collect whole blood in a TempusTM tube (for RNA sequencing) and serum (for proteomics and metabolomics).

Under the India-EU cooperation on research \& innovation (R\&I) and co-funding partnership under the EU framework program on R\&I 'Horizon Europe, samples will be collected from India, from Artemis Hospital, New Delhi, Max Health Care, New Delhi (a unit of Devki Devi Foundation) and Kasturba Medical College Hospital, Mangalore. Those are the two epicentres of the dengue endemic in India. 50 samples from each dengue severity classification (total samples 150 in each category) and DENV-negative healthy control (total 150: 50 in each site) will be collected. The Indian cohorts will act as the VALIDATION cohorts.

Recruitment of controls Healthy participants who have tested negative for dengue infection in the past three months will not be recruited to the study, which will be further age-and gender-matched with the cases. These samples will be tested for anti-dengue IgM and NS1 ELISA to rule out ongoing asymptomatic infection. They will also be subjected to anti-dengue IgG ELISA to check for past dengue infection. Each of the control participants will also be asked to provide a detailed medical history

02

Conditions studied

  • DENV Without Warning Signs
  • DENV with Warning Signs
  • Severe Dengue
  • Healthy Controls Group - Age and Sex-matched

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Keywords

  • Severe Dengue
  • Multi-omics
  • Predictive biomarker
03

In context

Severe Dengue

65 studies on the registry are indexed under Severe Dengue; 5 are open to participants now.

This study's planned enrollment of 1,400 is above the median of 667 across 13 observational studies indexed under Severe Dengue.

Browse Severe Dengue studies →

Lead sponsor

Karolinska Institutet is the lead sponsor of 1,148 studies on the registry; 276 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

  • 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.

Inclusion criteria

Group 1: Dengue without warning signs Patients presenting with the following symptoms confirmed positive for dengue infection by lab diagnosis by anti-dengue IgM or NS1 ELISA will be recruited for the study under this cohort.

Symptoms will be fever along with at least two of the following -

  • 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.
  • Abdominal pain with tenderness
  • Persistent vomiting
  • Fluid accumulation
  • Mucosal bleeding
  • Restlessness, lethargy
  • Liver enlargement >2cm
  • Laboratory findings: An increase in hematocrit levels and a rapid decrease in count Group 3: Severe dengue
  • Severe plasma leakage leads to hypovolemic shock (dengue shock syndrome) and fluid accumulation with respiratory distress.
  • Severe bleeding, such as epistaxis, internal bleeding, etc., is evaluated by a clinician.
  • Severe organ involvement with any of the following symptoms
  • Liver or ALT ≥ 1000
  • CNS: impaired consciousness
  • Heart and other organs failure

Exclusion criteria

Exclusion Criteria:

-

Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Platelets

Blood cells that help blood clot. Too few raises the risk of bleeding and bruising. A usual adult range is about 150–400 × 10⁹/L (150,000–400,000 per µL); each lab has its own reference range.

ALT and AST (liver enzymes)

Two enzymes measured in a routine blood test of the liver. Higher levels can mean the liver is under strain or damaged. SGPT and SGOT are older names for ALT and AST.

Criteria usually give a limit as a multiple of the upper limit of normal (ULN), often higher when cancer has spread to the liver.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
1,400 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Dengue without warning signs (DwoWS)

    Laboratory confirmed Dengue without plasma leakage

    Other: Infection and no infection

  • Dengue with warning signs (DWS)

    Laboratory confirmed Dengue without plasma leakage plus abdominal pain, persistent vomiting, fluid accumulation, mucosal bleeding, lethargy, liver enlargement, increasing haematocrit with decreasing platelets

    Other: Infection and no infection

  • Severe Dengue (SD)

    Dengue with severe plasma leakage, severe bleeding, or organ failure

    Other: Infection and no infection

  • Healthy Control

    Healthy participants who have tested negative for dengue infection

Interventions

  • OtherInfection and no infection

    No intervention apart from the dengue infection

06

What researchers measure

Primary outcomes

  1. 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.

    Time frame: From enrollment to the end of hospitalisation at 2 weeks

07

Study locations

2 of 2 sites recruiting
  • Bio Box Guatemala Ong de Investigación, Servicios Y de Medio Ambiente
    Guatemala, Guatemala
    Recruiting
  • Manipal Academy of Higher Education (MAHE)
    Mangalore, Karnataka 576104, India
    Recruiting
08

References and documents

Publications

  • Bhatt P, Varma M, Sood V, Ambikan A, Jayaram A, Babu N, Gupta S, Mukhopadhyay C, Neogi U. Temporal cytokine storm dynamics in dengue infection predicts severity. Virus Res. 2024 Mar;341:199306. doi: 10.1016/j.virusres.2023.199306. Epub 2024 Jan 6. PubMed 38176525 ↗

Individual participant data

Plan to share: Undecided — Annonymised and delinked IPD can be shared after the completion of the study after getting approval from the steering board and obtaining the ethical clearance of the requesting party.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Jan 2025 (actual). Primary completion is estimated for Dec 2026, 23 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 13, 2024
First posted
Dec 30, 2024
StartActual
Jan 3, 2025
Primary completionEst.
Dec 31, 2026
CompletionEst.
Oct 31, 2029
Last update
Feb 10, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Feb 10, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06751836
Collaborators
BIO BOX GUATEMALA ONG DE INVESTIGACIÓN, SERVICIOS Y DE MEDIO AMBIENTE, DEVKI DEVI FOUNDATION SOCIETY, India, MANIPAL ACADEMY OF HIGHER EDUCATION, India, Artemis Medicare Services Ltd., India
Responsible party
Ujjwal Neogi (Senior Lecturer, Karolinska Institutet) — Principal investigator
First posted
Dec 30, 2024
Start date
Jan 3, 2025
Primary completion
Dec 31, 2026 (estimated)
Completion
Oct 31, 2029 (estimated)
Last update
Feb 10, 2025

Study contacts

Ujjwal Neogi, PhD
Contact
ujjwal.neogi@ki.se
+46 8524 83680

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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