Date: April 05, 2025
Classification: Frontiers
Literature Overview
The article titled 'Clinical and genetic characterization of congenital disorders of glycosylation in 20 Chinese patients' was published in the 'Orphanet Journal of Rare Diseases'. It reviewed the clinical and genetic features of 20 Chinese CDG patients and identified multiple disease-causing genes, including ALG2, DPM2, PMM2, ALG13, etc. The pathogenicity of these variants was confirmed by Sanger sequencing and segregation analysis. Additionally, 11 novel variants were discovered, further expanding the genetic heterogeneity landscape of CDG.Background Knowledge
Congenital disorders of glycosylation (CDG) are a group of inherited metabolic diseases caused by defects in glycosylation pathways, affecting N-linked, O-linked, and GPI-anchor glycosylation processes and resulting in multi-system dysfunction. CDG exhibits high clinical and genetic heterogeneity, with symptoms including developmental delay, epilepsy, hypotonia, liver dysfunction, facial dysmorphism, and perinatal death in severe cases, while milder forms may present in adulthood. Due to the rarity and clinical variability of CDG, patients often face delayed diagnosis and limited treatment options. This study represents the first systematic report of 20 CDG cases in China, covering multiple causative genes, highlighting the importance of genotype-phenotype correlations, and emphasizing the necessity of functional studies to uncover underlying pathogenic mechanisms.
Methods and Experiments
The research team conducted a retrospective analysis of 4912 patients suspected of having genetic disorders who underwent whole exome sequencing (WES) at Wuhan Children's Hospital between August 2018 and March 2025. Finally, 20 CDG patients were confirmed. WES was performed using IDT xGen Exome capture probes, followed by high-throughput sequencing on the Illumina NovaSeq 6000 platform. Variants were identified and annotated using tools such as GATK, BWA, and ANNOVAR. Variants with minor allele frequency (MAF < 0.01) in ExAC and gnomAD databases were filtered and analyzed for their impact on protein structure and function using bioinformatics tools like SIFT, PolyPhen-2, and MutationTaster. Variants were classified as pathogenic, likely pathogenic, or of uncertain significance according to the ACMG guidelines. Additionally, low-coverage whole-genome sequencing (CNV-seq) was used to detect large copy number variations (CNVs), and a mini gene splicing assay was performed to validate the impact of COG5 gene variants on splicing.Key Findings and Insights
Significance and Future Directions
This study expands the variant spectrum and clinical phenotypes of CDG in the Chinese population and systematically summarizes genotype-phenotype correlations for multiple causative genes for the first time. Larger sample sizes and long-term follow-ups are needed to validate these observations and further explore the molecular mechanisms through functional studies. Glycan analysis technologies like MALDI-TOF MS should be integrated into the diagnostic workflow to improve the accuracy of variant pathogenicity assessment. Additionally, this study highlights the need to enhance CDG screening and genetic diagnostic capabilities in China to reduce diagnostic delays and optimize intervention strategies.
Conclusion
This study is the first systematic report of clinical and genetic characteristics of 20 CDG patients in the Chinese population, identifying 28 pathogenic variants, 11 of which are novel. It not only revealed genotype-phenotype correlations for multiple genes, such as ALG2, DPM2, and SLC35A2, but also validated the functional impact of COG5 variants through mini gene splicing assays. These findings provide new clues for studying the genetic mechanisms and clinical diagnosis of CDG, and highlight the necessity of further functional studies and large-scale population screening. In the future, integrating multi-omics analysis and international data sharing will help improve the precision of CDG diagnosis and treatment.