CClinicalTrials.gg
CompletedNCT06200142ZOEMBA/STUUpdated Jan 10, 2024

Zoektocht Naar Erfelijke MetaBole Aandoening (Dutch)/ Solve The Unsolved (English)

An interventional study of Untargeted metabolomics and WES and WGS in Inherited Metabolic Disorders, sponsored by Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA). Completed at 1 site in Netherlands. Per ClinicalTrials.gov, last updated 2024-01-10.

Sponsored by Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA) · Not applicable, Interventional, and Diagnostic

From the registry’s dates

  • Registered 4 years after the study started (first participant enrolled Dec 2019, registered Dec 2023).
Phase
Not applicable
Study type
Interventional
Enrollment
334
Allocation
Not applicable
Sex
All
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Study summary

The goal of this clinical trial is to integrate genomic (WES/WGS) and other -omics technologies in order to find the genetic causes, in 500 patients (children and adults) with an unexplained metabolic phenotype in whom standard care (genetic and metabolic evaluation) did not provide a diagnosis. The overall aim of this study is to diagnose patients with an unknown metabolic phenotype. In addition, we want to provide evidence that the combination of approaches and techniques used in this study will increase diagnostic yield compared to current separated approaches.

All participants will undergo a multi-omics(WES, WGS and metabolomics) approach to solve the unsolved genetic basis of their metabolic phenotype.

Read the detailed description

Rationale: Inborn Errors of Metabolism (IEM) are monogenic conditions in which the impairment of a biochemical pathway is intrinsic to the pathophysiology of the disease. Organ dysfunction results from intoxication and/or storage of metabolites, as well as a shortage of energy and building blocks. Rapid diagnosis of IEM enables initiation of targeted treatment (e.g. diet) slowing down or stopping the degenerative nature of the disease, resulting in significantly reduction of morbidity and mortality. A diagnosis also enables prognostication, access to community services and accurate genetic counselling for the patient and his/her family. Diagnosing IEM can be a major challenge, because of phenotypic heterogeneity and complex, expensive, diagnostic tests. Whole exome/ genome sequencing (WES/WGS) has revolutionized diagnostics of rare diseases and IEM, but still gives a negative or inconclusive result in >50% of cases. Addition of other omics technologies (metabolomics, glycomics, lipidomics, epigenomics, transcriptomics, proteomics) with integrated bioinformatics increases diagnostic yield, as it may point to the defective pathway allowing scrutinizing genes in genomic data or vice versa: it generates evidence of the deleterious functional impact of a DNA variants of unknown significance (VUS). In this study we will unite our national expertises and apply a multi-omics approach to solve the unsolved genetic basis of patients with a metabolic phenotype on a larger scale.

Objective: Integrating genomic (WES/WGS) and other -omics technologies in order to find the genetic causes, in 500 patients (children and adults) with an unexplained metabolic phenotype in whom standard care (genetic and metabolic evaluation) did not provide a diagnosis.

Study design: A prospective, diagnostic (deep phenotyping, WES/WGS and pan-omics) multicenter cohort study.

Study population: (In)capacitated patients (all ages/both genders) with a clinical (and/or family) history and abnormal additional examination (physical (neurological)/ biochemical/ radiological/ genetic) suspicious for an IEM, without diagnosis.

Main study parameters/endpoints: 1) identification of a genetic variant and alignment with its biochemical and phenotypical abnormalities; 2) evaluating the diagnostic yield of combined WES/WGS and omics techniques Methods used: Patients with unexplained metabolic phenotypes are referred (on paper) and discussed by the ZOEMBA (Zoektocht naar Erfelijke MetaBole Aandoening) team. Clinical phenotyping, bioinformatic reanalysis of WES data and additional metabolomics will be performed in all participants. In case still no diagnosis is made, a tailormade diagnostic plan is made combining deep WES, WGS, glycomics, lipidomics, epigenomics, transcriptomics and/or proteomics leading to: a known IEM, a candidate variant or no diagnosis. In case of a variant, additional functional studies (enzymatic assays, targeted omics, CRISPR/CAS, cell lines) will be performed to confirm the effect of the genetic variant on protein function. When still no diagnosis is established, matchmaking (genetic/phenotypical) through international databases might lead to a diagnosis.

Nature and extent of the burden and risks associated with participation, benefit and group relatedness:

The study involves collection of clinical data, reanalysis of previously analysed genetic data, additional "omics" and functional testing. All participants will have between 1 and 3 clinical visits for this study (at the UMC of referral ) and a maximum of 2 telephone appointments with the arts-onderzoeker. Whenever possible study visits will be combined with regular hospital visits. Clinical data (clinical history, family history, physical examination, consultations, additional laboratory and/or radiological investigations) will be collected. A physical examination and blood and urine sampling will be performed in all participants at their first study visit. Any other already available biological samples (eg stored cell lines, dried blood spots, cerebrospinal fluid (CSF)) will be collected for re-analysis. For a selection of patients a skin biopsy will be performed at the 2nd clinical study visit for the use of functional studies. Potential burdens for participants are: the additional study visit(s), diagnostic procedures (e.g. blood, urine sampling and skin biopsy), as well as renewed (false) hope/uncertainty about finding a diagnosis. The potential benefit for all participants include: the opportunity to establish a diagnosis providing information on prognosis, (refinement of) management, genetic counselling with precise recurrence risk and option(s) for prenatal diagnosis.

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Conditions studied

  • Inherited Metabolic Disorders

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Keywords

  • WES
  • WGS
  • Metabolomics
  • Diagnoses
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In context

Metabolic Diseases

997 studies on the registry are indexed under Metabolic Diseases; 234 are open to participants now.

This study's enrollment of 334 is above the median of 48 across 670 interventional studies indexed under Metabolic Diseases.

Browse Metabolic Diseases studies →

Lead sponsor

Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA) is the lead sponsor of 512 studies on the registry; 178 are open to participants now.

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

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Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

Patients with an unexplained metabolic phenotype defined as: neurological symptoms and/or abnormalities on (physical) examination suggestive of an inborn error of metabolism (energy deficiency, intoxication type or storage type):

Energy deficiency: neurological (repeated rhabdomyolysis, verified exercise intolerance, neuropathy, myopathy, ataxia), ophthalmological (retinitis pigmentosa (RP)), otological (hearing loss, deafness), endocrine (hypoparathyroidism, hypoglycemia) Intoxication: neurological (encephalopathy, regression, movement disorder, psychiatric symptoms), ophthalmological (lens luxation), organic (liver and kidney function abnormalities) Storage: neurological (regression, psychiatric symptoms), ophthalmological (cataract/corneal clouding), skin (angiokeratomas), blood (cytopenias), organic (hepatosplenomegaly, cardiac hypertrophy, skeletal abnormalities, short stature, coarse facial features, umbilical/inguinal hernia)

AND / OR one or more of the following suggesting a deficient metabolic pathway or process:

  • abnormal metabolites in body fluids (CSF, urine, blood)
  • functional studies at a biochemical/cellular level indicative of a metabolic deficiency (e.g. respiratory chain complex analysis)
  • organ dysfunction (e.g. liver or kidney failure)
  • an abnormal clinical function test (protein loading test, fasting test, meal test, validated exercise test, non-ischaemic underarm test)
  • abnormalities on imaging (neuro-imaging (including spectroscopy); X-rays (dysostoses or other bone abnormalities); ultrasound (enlarged liver/spleen))
  • a VUS (variant of unknown significance) in a gene involved in metabolism

AND no diagnosis despite extensive clinical, metabolic and genetic investigations

  • SNP-array/array-CGH: inconclusive results
  • metabolic screening according to up to date clinical protocols: inconclusive results
  • WES (open or gene panel): no class 4 or 5 variants in a known (OMIM annotated) disease related gene that can fully explain the phenotype of the patient

Exclusion criteria

Exclusion Criteria:

A patient will be excluded from participation in this study if:

  • after discussion by the ZOEMBA team (see Methods) he/she is suspected to have:

    • a genetic condition for which there is a simpler and more cost-effective test available for diagnosis
    • a complex genetic disorder (caused by a combination of multiple genes and/or environmental influences)
    • a condition that is thought to be caused by factors that are non-genetic, such as infection, injury or toxic exposure
  • he/she is unable to follow the study protocol (e.g. additional blood samples)
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Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
334 participants (actual)

Study arms

  • Experimental
    The unsolved

    (In)capacitated patients (all ages/both genders) with a clinical (and/or family) history and abnormal additional examination (physical (neurological)/ biochemical/ radiological/ genetic) suspicious for an IEM, without diagnosis.

    Diagnostic Test: Untargeted metabolomics · Genetic: WES and WGS

Interventions

  • Diagnostic testUntargeted metabolomics

    Untargeted metabolomics in bloodspots and in plasma

  • GeneticWES and WGS

    WES reanalysis and WGS analysis

    Also known as: Genomics

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What researchers measure

Primary outcomes

  1. Diagnostic yield

    Number of patients diagnosed

    Time frame: 3 years

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Study locations

1 site
  • Amsterdam UMC
    Amsterdam, Netherlands
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References and documents

Study documents

  • Study protocol · Apr 16, 2020

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Yes — To make data Findable (according to FAIR principles), data will be shared internationally with other authorized researchers through the existing, well-managed, secure, large-scale, controlled-access web-based, repository of the RD-Connect platform (https://platform.rd-connect.eu/).

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 10, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06200142
Lead sponsor
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Collaborators
Stichting Metakids
Responsible party
Clara van Karnebeek (Professor, Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)) — Principal investigator
First posted
Jan 10, 2024
Start date
Dec 10, 2019
Primary completion
Dec 31, 2021
Completion
Dec 31, 2021
Last update
Jan 10, 2024

Study contacts

Clara DM van Karnebeek, Professor
principal investigator · Amsterdam UMC and United for Metabolic Diseases (UMD)

Oversight

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

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This study is completed, as verified in Dec 2023. You cannot join it, but the record below documents what was studied.

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