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Modeling skeletal dysplasia in Hurler syndrome using patient-derived bone marrow osteoprogenitor cells
Samantha Donsante, Alice Pievani, Biagio Palmisano, Melissa Finamore, Grazia Fazio, Alessandro Corsi, Andrea Biondi, Shunji Tomatsu, Rocco Piazza, Marta Serafini, Mara Riminucci
Samantha Donsante, Alice Pievani, Biagio Palmisano, Melissa Finamore, Grazia Fazio, Alessandro Corsi, Andrea Biondi, Shunji Tomatsu, Rocco Piazza, Marta Serafini, Mara Riminucci
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Resource and Technical Advance Bone biology Stem cells

Modeling skeletal dysplasia in Hurler syndrome using patient-derived bone marrow osteoprogenitor cells

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Abstract

Dysostosis multiplex is a major cause of morbidity in Hurler syndrome (mucopolysaccharidosis type IH [MPS IH], OMIM #607014) because currently available therapies have limited success in its prevention and reversion. Unfortunately, the elucidation of skeletal pathogenesis in MPS IH is limited by difficulties in obtaining bone specimens from pediatric patients and poor reproducibility in animal models. Thus, the application of experimental systems that can be used to dissect cellular and molecular mechanisms underlying the skeletal phenotype of MPS IH patients and to identify effective therapies is highly needed. Here, we adopted in vitro/in vivo systems based on patient-derived bone marrow stromal cells to generate cartilaginous pellets and bone rudiments. Interestingly, we observed that heparan sulphate accumulation compromised the remodeling of MPS IH cartilage into other skeletal tissues and other critical aspects of the endochondral ossification process. We also noticed that MPS IH hypertrophic cartilage was characterized by dysregulation of signaling pathways controlling cartilage hypertrophy and fate, extracellular matrix organization, and glycosaminoglycan metabolism. Our study demonstrates that the cartilaginous pellet–based system is a valuable tool to study MPS IH dysostosis and to develop new therapeutic approaches for this hard-to-treat aspect of the disease. Finally, our approach may be applied for modeling other genetic skeletal disorders.

Authors

Samantha Donsante, Alice Pievani, Biagio Palmisano, Melissa Finamore, Grazia Fazio, Alessandro Corsi, Andrea Biondi, Shunji Tomatsu, Rocco Piazza, Marta Serafini, Mara Riminucci

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