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Response Prediction in EBV-HLH Using Metabonomics Analysis

Not yet recruiting
Conditions
Hemophagocytic Lymphohistiocytoses
EBV
Metabonomics
Interventions
Other: observational
Registration Number
NCT05677178
Lead Sponsor
Beijing Friendship Hospital
Brief Summary

Hemophagocytic lymphohistiocytosis (HLH) is a rare, poorly recognized and underdiagnosed syndrome of excessive immune activation, which is rapidly fatal. Epstein-Barr virus (EBV) is a common trigger of HLH, particularly in Asian individuals. We aim to analyze metabolomics and cytokine profiles of patients before and after treatment to explore the metabolomic characteristics of EBV-HLH, and search for pathogenic mechanisms and therapeutic targets.

Detailed Description

Hemophagocytic lymphohistiocytosis (HLH) is a rare, poorly recognized and underdiagnosed syndrome of excessive immune activation, which is rapidly fatal. Without early intervention, the median survival time is less than 2 months.Epstein-Barr virus (EBV) is a common trigger of HLH, particularly in Asian individuals. We aim to analyze metabolomics and cytokine profiles of patients before and after treatment to explore the metabolomic characteristics of EBV-HLH, and search for pathogenic mechanisms and therapeutic targets.

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
30
Inclusion Criteria
  • Patients who meet HLH-04 diagnostic criteria
  • EBV-DNA viral load in the peripheral blood > 500 copies/mL
  • Informed consent obtained.
Exclusion Criteria
  • refuse to participate.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
survival groupobservationalPatients who survived 2 months after treatment.
death groupobservationalPatients who died 2 months after treatment.
Primary Outcome Measures
NameTimeMethod
Difference in metabonomics pattern between subgroups2 months

Compare metabonomics pattern of the survival group with that of the death group, identify potential predictors of outcomes, and establish a survival prediction model in patients with EBV-HLH. Measure metabolite levels.

Difference in cytokine pattern between subgroups2 months

Compare metabonomics and cytokine pattern of the survival group with that of the death group, identify potential predictors of outcomes, and establish a survival prediction model in patients with EBV-HLH. Measure cytokine levels.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Beijing Friendship Hospital, Capital Medical University

🇨🇳

Beijing, Beijing, China

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