Brain imaging as a prognostic biomarker in urea cycle disorders

Area of Science:

• Neurology
• Metabolic Disorders
• Medical Imaging

Background:

• Urea cycle disorders (UCDs) are rare genetic conditions impairing nitrogen metabolism, leading to hyperammonemia and neurotoxicity.
• Despite improved survival, neurocognitive and psychiatric issues persist in UCD patients.
• Brain injury mechanisms in UCDs are complex, involving astrocytic dysfunction, altered neurotransmitters, oxidative stress, and energy failure.

Purpose of the Study:

• To review current and emerging neuroimaging techniques for UCDs.
• To discuss the potential of imaging biomarkers as prognostic and therapeutic tools.
• To highlight the need for validation and harmonization of imaging biomarkers.

Main Methods:

• Review of structural MRI and diffusion imaging in clinical practice.
• Exploration of advanced research techniques like MRS, DTI, fMRI, and fNIRS.
• Discussion of novel approaches such as GlnCEST imaging and omics data integration.

Main Results:

• Neuroimaging, including EEG, is crucial for understanding UCD mechanisms and providing biomarkers.
• Current techniques like MRI and diffusion imaging are used clinically.
• Emerging modalities show promise for prognostic and therapeutic applications.

Conclusions:

• Neuroimaging plays a vital role in UCD patient management and research.
• Advanced imaging techniques and multimodal data integration offer potential for precision care.
• Validation and harmonization of imaging biomarkers are essential for clinical translation.