Response Prediction in EBV-HLH Using Metabonomics Analysis
- Conditions
- Hemophagocytic LymphohistiocytosesEBVMetabonomics
- 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
- Patients who meet HLH-04 diagnostic criteria
- EBV-DNA viral load in the peripheral blood > 500 copies/mL
- Informed consent obtained.
- refuse to participate.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description survival group observational Patients who survived 2 months after treatment. death group observational Patients who died 2 months after treatment.
- Primary Outcome Measures
Name Time Method Difference in metabonomics pattern between subgroups 2 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 subgroups 2 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
Name Time Method
Trial Locations
- Locations (1)
Beijing Friendship Hospital, Capital Medical University
🇨🇳Beijing, Beijing, China