Publications by authors named "L Gutierrez-Solana"

Article Synopsis
  • PI4KA-related disorder is marked by a variety of neurological and gastrointestinal issues, including spasticity, developmental challenges, and recurrent infections, with specific attention given to the impact on B-cell function and immunodeficiency in some patients. * -
  • The study involved analyzing 13 patients with PI4KA variants, revealing common traits such as B-cell deficiency and hypogammaglobulinemia, alongside significant changes in B-cell subsets and functioning due to metabolic disruptions. * -
  • Findings indicate that mutations in PI4KA lead to disturbances in lipid production and metabolic pathways in B cells, fostering mitochondrial dysfunction and abnormal immune responses, suggesting a critical role of PI4KA in B-cell differentiation and health. *
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Mucopolysaccharidosis II (MPS II; Hunter syndrome; OMIM 309900) is a rare, X-linked, heterogeneous lysosomal storage disease. Approximately two-thirds of patients develop cognitive impairment, which is difficult to assess in clinical trials, partly owing to the variable nature of cognitive impairment. Analyzing data from siblings can help to minimize this heterogeneity.

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Background: Mucopolysaccharidosis (MPS) II is a rare, X-linked lysosomal storage disease. Approximately two-thirds of patients have central nervous system involvement with some demonstrating progressive cognitive impairment (neuronopathic disease). The natural history of cognitive and adaptive function in patients with MPS II is not well-defined.

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Background: Whole-exome sequencing (WES) and whole-genome sequencing (WGS) have become indispensable tools to solve rare Mendelian genetic conditions. Nevertheless, there is still an urgent need for sensitive, fast algorithms to maximise WES/WGS diagnostic yield in rare disease patients. Most tools devoted to this aim take advantage of patient phenotype information for prioritization of genomic data, although are often limited by incomplete gene-phenotype knowledge stored in biomedical databases and a lack of proper benchmarking on real-world patient cohorts.

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