An observational study in X-linked Adrenoleukodystrophy, sponsored by Assistance Publique - Hôpitaux de Paris. Not yet recruiting. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-07-03.
Sponsored by Assistance Publique - Hôpitaux de Paris · Observational
CALD is an inflammatory demyelinating disease that causes severe motor and cognitive deficit leading to rapid death. Hematopoietic stem cell transplantation (HSCT) can halt neuroinflammation in CALD through the replacement of microglia (i.e., brain immune system) but only if performed during its early phase.
Using standard brain MRI, it is estimated that only 30% of adult CALD patients are identified. Complex and lengthy clinical evaluations together with MRI reading from experts improve CALD detection but are not available in routine clinical practice.
Diffusion tensor imaging is a quantitative microstructural technique that can identify neuroinflammation at a very early stage. Still, its implementation in clinical practice has been very limited due to high inter-center measurements variability and bias due to data quality issues. The approach we will use solves these problems by introducing an automatic calibration and standardization with systematic quality control enabling the use of all MRI scanners in clinical settings.
The innovative aspect of this project lies on the validation of an expert-independent prognosis biomarker able to specifically identify patients at high-risk to convert to CALD so that treatment can be initiated at the early stage of neuroinflammation.
We aim to demonstrate that this tool has at least a 2-fold sensitivity compared to the current standard of care.
X-linked adrenoleukodystrophy (ALD, ORPHA:43, prevalence 1/15,000) is a rare white matter degenerative disease caused by pathogenic variants in the ABCD1 gene localised on the X chromosome. All men carrying ABCD1 pathogenic variants develop a slowly progressive myeloneuropathy (adrenomyeloneuropathy, AMN) in adulthood. Furthermore, men carrying ABCD1 pathogenic variants may also present with a rapidly progressive inflammatory leukodystrophy called cerebral ALD (CALD). Because ABCD1 variants do not predict the risk of CALD, the current standard of care is to annually monitor disease evolution by performing brain MRI and clinical evaluation to detect CALD conversion.
In adults, the inconsistency of Gadolinium contrast enhancement - the main CALD diagnosis criterion - and the presence of diffuse increase in signal of the white matter related to AMN, make the detection of true inflammatory hypersignals of the white matter (scored with the Loes score) increasingly difficult, and subject to inter-observer and inter-machine variability. Due to these limitations, and since standard MRI does not quantify myelin content or axonal injury, expert centres complement their imaging data with a battery of clinical tests - i.e., Adult ALD Clinical Scale (AACS) and Expanded Disability Severity Score (EDSS) - and neuropsychological testing to determine the disease stage of each patient with the aim to propose the best therapeutic options.
When CALD is not treated, inflammatory demyelinating lesions will cause severe motor and cognitive deficit and patients bear the risks to die within 2 to 3 years. The medical procedure of choice for males with CALD is allogenic hematopoietic stem cell transplantation (AlloHSCT) as it can stop the progression of demyelinating lesions, but only if performed during the early phase of the disease, when patients have minimal brain lesions and no or minor clinical symptoms. This treatment is ineffective or even harmful in patients in advanced stages due to the toxicity related to myeloablation protocols. In the current standard of care, the lack of early diagnostic biomarkers of CALD hampers the optimal use of AlloHSCT resulting in almost 50% mortality in adults developing CALD.
Thus, there is a crucial need for novel sensitive techniques or biomarkers easily deployable in clinical routine allowing to identify as early as possible the acute demyelinating process underlying CALD conversion.
This study aims to validate the use of an imaging biomarker, RD-index19-change, as an early diagnostic biomarker for CALD. This marker is an integrated measure of changes in cerebral regional radial diffusivity (RD) calculated from Diffusion Tensor Imaging (DTI). The RD-index19-change biomarker available in brainTale-care, a medical device developed by brainTale, can be automatically computed from MRI acquisition data in clinical routine.
The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a sensitivity significantly greater than 60% and specificity significantly greater than 80%, as Objective Performance Criteria, to detect CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
The reference diagnosis of CALD will be established by an expert committee comprising 3 experts in neuroradiology, white matter diseases and CALD, based on the following information:
In order for the reference diagnosis to be independent of the biomarker results, the expert committee will be blinded to the results of RD-index19-change.
The experts will also be blinded to the results of other potential biomarkers of CALD conversion that will be evaluated as secondary endpoints, i.e., plasma NfL and other DTI biomarkers (FA-index19-change, MD-index19-change and AD-index19-change).
RD-index19_change from yearly visit to yearly visit will be automatically computed from DTI acquisitions. It will therefore be independent from any clinical information or expert assessment.
The confirmation by this study that RD-index19-change can reliably detect CALD at an early stage of cerebral demyelination in an expert-independent manner will allow that:
68 studies on the registry are indexed under Adrenoleukodystrophy; 19 are open to participants now.
This study's planned enrollment of 200 is above the median of 120 across 19 observational studies indexed under Adrenoleukodystrophy.
Browse Adrenoleukodystrophy studies →Assistance Publique - Hôpitaux de Paris is the lead sponsor of 3,592 studies on the registry; 1,033 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Adult males carrying an ABCD1 pathogenic variant
Patients:
Inclusion criteria
Exclusion criteria
Healthy volunteers
Inclusion criteria
Exclusion criteria
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.
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Informed consent
Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.
You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Contraindication
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Patients with ABCD1 pathogenic variant
Device: brainQuant module of brainTale-care platform
Healthy volunteers inclusion in order to calibrate the MRI machine used and its settings.
brainQuant is a software module of brainTale-care medical device (a medical device software as a service (web platform) ) for the automatic processing of brain diffusion Magnetic resonance images and the provision of the diffusion regional standardised parameters.
Sensitivity of RD-index19 change of at least 1 point between two consecutive annual measurements to diagnose CALD before or at the same time than the reference diagnostic made by an expert committee
The expert committee comprising 3 experts in neuroradiology blinded to the RD-index19 change results. The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a sensitivity significantly greater than 60% to detect CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
Time frame: 1 year, 2 years, 3 years
Specificity of RD-index19 change of at least 1 point between two consecutive annual measurements with repect to CALD conversion before or at the same time than the reference diagnostic made by an expert committee
The expert committee comprising 3 experts in neuroradiology blinded to the RD-index19 change results. The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a specificity significantly greater than 80% with repect to CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
Time frame: 1 year, 2 years, 3 years
Sensitivity values of plasma NfL with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Specificity values of plasma NfL with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Sensitivity values of FA-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Specificity values of FA-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Sensitivity values of MD-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Specificity values of MD-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Sensitivity values of AD-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Specificity values of AD-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS (Adult ALD Clinical Scale) and EDSS (Expanded Disability Status Scale)) and RD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and FA-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and MD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and AD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and RD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and FA-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and MD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and AD-index19-change
Time frame: 1 year, 2 years, 3 years
No study locations are listed for this record.
Plan to share: Yes — The procedures enforced by the French data privacy authority (CNIL, Commission nationale de l'informatique et des libertés) do not allow the transmission of the database, nor the information and consent documents signed by the patients. Consultation by the editorial board or interested researchers of individual participant data that underlie the results reported in the article after deidentification may nevertheless be considered, subject to prior determination of the terms and conditions of such consultation and in respect for compliance with the applicable regulations.
Supporting information: Study protocol, Statistical analysis plan, Informed consent form
Time frame: Beginning 3 months and ending 3 years following article publication. Requests out of these time frame can also be submitted to the sponsor.
Access criteria: Researchers who provide a methodologically sound proposal.
No publications or documents are linked to this record.
This study is not yet recruiting, as verified in Jun 2023. You cannot join it, but the record below documents what was studied.
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