Back to Search Start Over

Integrating Genome Sequencing and Untargeted Metabolomics in Monozygotic Twins with a Rare Complex Neurological Disorder

Authors :
Rulan Shaath
Aljazi Al-Maraghi
Haytham Ali
Jehan AlRayahi
Adam D. Kennedy
Karen L. DeBalsi
Sura Hussein
Najwa Elbashir
Sujitha S. Padmajeya
Sasirekha Palaniswamy
Sarah H. Elsea
Ammira A. Akil
Noha A. Yousri
Khalid A. Fakhro
Source :
Metabolites, Vol 14, Iss 3, p 152 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Multi-omics approaches, which integrate genomics, transcriptomics, proteomics, and metabolomics, have emerged as powerful tools in the diagnosis of rare diseases. We used untargeted metabolomics and whole-genome sequencing (WGS) to gain a more comprehensive understanding of a rare disease with a complex presentation affecting female twins from a consanguineous family. The sisters presented with polymicrogyria, a Dandy–Walker malformation, respiratory distress, and multiorgan dysfunctions. Through WGS, we identified two rare homozygous variants in both subjects, a pathogenic variant in ADGRG1(p.Arg565Trp) and a novel variant in CNTNAP1(p.Glu910Val). These genes have been previously associated with autosomal recessive polymicrogyria and hypomyelinating neuropathy with/without contractures, respectively. The twins exhibited symptoms that overlapped with both of these conditions. The results of the untargeted metabolomics analysis revealed significant metabolic perturbations relating to neurodevelopmental abnormalities, kidney dysfunction, and microbiome. The significant metabolites belong to essential pathways such as lipids and amino acid metabolism. The identification of variants in two genes, combined with the support of metabolic perturbation, demonstrates the rarity and complexity of this phenotype and provides valuable insights into its underlying mechanisms.

Details

Language :
English
ISSN :
14030152 and 22181989
Volume :
14
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Metabolites
Publication Type :
Academic Journal
Accession number :
edsdoj.363621f47bd04b7991f4b0b899d83913
Document Type :
article
Full Text :
https://doi.org/10.3390/metabo14030152