Validation of a Prognostic Biomarker Using Brain Diffusion MRI in X-linked Adrenoleukodystrophy
brief summary
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.
detailed description
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.