Literature DB >> 33300232

Expanding the phenotype of X-linked SSR4-CDG: Connective tissue implications.

Claudia Castiglioni1, François Feillet2,3, Christine Barnerias4, Arnaud Wiedemann2,3, Jordi Muchart5, Fanny Cortes6, Cristina Hernando-Davalillo7, Raquel Montero8,9, Thierry Dupré10,11, Arnaud Bruneel10,12, Nathalie Seta10, Sandrine Vuillaumier-Barrot10, Mercedes Serrano9,13.   

Abstract

Signal sequence receptor protein 4 (SSR4) is a subunit of the translocon-associated protein complex, which participates in the translocation of proteins across the endoplasmic reticulum membrane, enhancing the efficiency of N-linked glycosylation. Pathogenic variants in SSR4 cause a congenital disorder of glycosylation: SSR4-congenital disorders of glycosylation (CDG). We describe three SSR4-CDG boys and review the previously reported. All subjects presented with hypotonia, failure to thrive, developmental delay, and dysmorphic traits and showed a type 1 serum sialotransferrin profile, facilitating the diagnosis. Genetic confirmation of this X-linked CDG revealed one de novo hemizygous deletion, one maternally inherited deletion, and one de novo nonsense mutation of SSR4. The present subjects highlight the similarities with a connective tissue disorder (redundant skin, joint laxity, blue sclerae, and vascular tortuosity). The connective tissue problems are relevant, and require preventive rehabilitation measures. As an X-linked disorder, genetic counseling is essential.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  SSR4; TRAP complex; congenital disorders of glycosylation; connective tissue disorders; translocon associated complex

Mesh:

Substances:

Year:  2020        PMID: 33300232     DOI: 10.1002/humu.24151

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  2 in total

Review 1.  The Ehlers-Danlos Syndromes against the Backdrop of Inborn Errors of Metabolism.

Authors:  Tim Van Damme; Marlies Colman; Delfien Syx; Fransiska Malfait
Journal:  Genes (Basel)       Date:  2022-01-29       Impact factor: 4.096

2.  Identification of hub biomarkers and immune cell infiltration characteristics of polymyositis by bioinformatics analysis.

Authors:  Qi Jia; Rui-Jin-Lin Hao; Xiao-Jian Lu; Shu-Qing Sun; Jun-Jie Shao; Xing Su; Qing-Feng Huang
Journal:  Front Immunol       Date:  2022-09-26       Impact factor: 8.786

  2 in total

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