Clinical Research Directory

Morphology in Oral Rare Syndromes & Artificial Intelligence for Clinical Diagnosis

MOSAIC aims to determine whether oro-dental morphological anomalies, particularly palatal morphology, associated with rare bone and cartilage diseases can be precisely characterized using 3D digital models analysed through geometric morphometrics. The study will also evaluate whether these morphological signatures can train an artificial intelligence (AI) algorithm to classify syndromes. A prospective monocentric case-control cohort will be constituted, including 3D intra-oral scans and associated clinical data. The final goal is to improve diagnostic accuracy and reduce diagnostic delay in rare bone disorders.

Cardiovascular Structure and Function in the Mucopolysaccharidoses

This study's investigators previously demonstrated the potential utility of non-invasive carotid ultrasonography to calculate carotid intima media thickness (cIMT) and stiffness (as measured by the three parameters, carotid cross-sectional distensibility \[cCSD\], carotid cross-sectional compliance \[cCSC\], and carotid incremental elastic modulus \[cIEM\]) in people with mucopolysaccharidoses (MPS). Investigators also studied arterial gene expression in animal models of MPS, and identified upregulation of a number of markers potentially tied to atherosclerosis and inflammation. These include the atherosclerotic marker known as Clusterin (CLU), Cathepsin S, Elastin, and the inflammatory cytokines interleukin 1-α, interleukin 1-β, interleukin 2, and interleukin 6. Other studies have identified elevation in circulating tumor necrosis factor-α correlating with pain and physical disability in certain mucopolysaccharidoses. Since these studies are cross sectional, and not longitudinal, this study aims to annually measure these previously studied biomarkers (carotid measurements, circulating cytokines, cathepsin S, elastin, and CLU) in a large cohort of MPS patients. This study is a 3-year, prospective, anonymized, longitudinal assessment of cardiovascular structure, function, and circulating biomarkers in patients with mucopolysaccharidoses.

The Myelin Disorders Biorepository Project

The Myelin Disorders Biorepository Project (MDBP) seeks to collect and analyze clinical data and biological samples from leukodystrophy patients worldwide to support ongoing and future research projects. The MDBP is one of the world's largest leukodystrophy biorepositories, having enrolled nearly 2,000 affected individuals since it was launched over a decade ago. Researchers working in the biorepository hope to use these materials to uncover new genetic etiologies for various leukodystrophies, develop biomarkers for use in future clinical trials, and better understand the natural history of these disorders. The knowledge gained from these efforts may help improve the diagnostic tools and treatment options available to patients in the future.

Pediatric Arthropathy Beyond Inflammation: Clinical Spectrum and Diagnostic Approach at Assiut University Children Hospital

To identify the most common underlying causes of non-inflammatory arthropathy in children presenting to Assiut University Children Hospital for through clinical evaluation, laboratory testing, and imaging, in order to improve diagnostic precision, guide appropriate management, and distinguish these conditions from inflammatory joint diseases.