MedPath

Metabolic FingerPrinting

Recruiting
Conditions
Genetic Disease
Interventions
Other: No intervention
Registration Number
NCT05305729
Lead Sponsor
Arcensus GmbH
Brief Summary

The MetaPrint study aims to characterize the metabolic fingerprint of genetic diseases in order to enhance knowledge on the physiological disease status and establish so new tools for diagnosing, monitoring and personalizing treatment of genetic diseases.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
10000
Inclusion Criteria
  • Informed consent is obtained from the participant or from the parent/ legal guardian
  • The participant is 2 months or older
  • The participant is diagnosed with a genetic disease
  • The participant is a first degree relative of a subject diagnosed with a genetic disease
Exclusion Criteria
  • Informed consent is not obtained from the participant or from the parent/ legal guardian
  • The participant is younger than 2 months
  • The participant is not diagnosed with a genetic disease
  • The participant is not a first degree relative of a subject diagnosed with a genetic disease

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Subjects with a genetic diseaseNo intervention-
Primary Outcome Measures
NameTimeMethod
Number of newly identified, disease-specific Metabolic Fingerprints5 years

Plasma-derived metabolite profiles that are specific for a particular genetic disease in comparison to healthy controls and other genetic diseases

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (5)

University Hospital Center Mother Teresa

🇦🇱

Tirana, Albania

Khyber institute of Child Health and Children Hospital (KICH)

🇵🇰

Peshawar, Pakistan

The Children's hospital & Institute of child health

🇵🇰

Lahore, Punjab, Pakistan

Children's Hospital & The Institute of Child Health

🇵🇰

Multan, Pakistan

Pakistan Institute of Medical Sciences (PIMS)

🇵🇰

Islamabad, Pakistan

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