TY - JOUR
T1 - Serum metabolomic signatures of patients with rare neurogenetic diseases
T2 - an insight into potential biomarkers and treatment targets
AU - Wijekoon, Nalaka
AU - Gonawala, Lakmal
AU - Ratnayake, Pyara
AU - Sirisena, Darshana
AU - Gunasekara, Harsha
AU - Dissanayake, Athula
AU - Amaratunga, Dhammika
AU - Steinbusch, Harry W. M.
AU - Hathout, Yetrib
AU - Hoffman, Eric P.
AU - Dalal, Ashwin
AU - Mohan, Chandra
AU - de Silva, K. Ranil D.
PY - 2025/1/10
Y1 - 2025/1/10
N2 - Introduction To further advance our understanding of Muscular Dystrophies (MDs) and Spinocerebellar Ataxias (SCAs), it is necessary to identify the biological patterns associated with disease pathology. Although progress has been made in the fields of genetics and transcriptomics, there is a need for proteomics and metabolomics studies. The present study aimed to be the first to document serum metabolic signatures of MDs (DMD, BMD, and LGMD 2A) SCAs (SCA 1-3), from a South Asian perspective.Methods A total of 28 patients (SCA 1-10, SCA 2-2, SCA 3-2, DMD-10, BMD-2, LGMD-2) and eight controls (aged 8-65 years) were included. Metabolomic analysis was performed by Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy (UPLC-MS/MS), with support from the Houston Omics Collaborative.Results and discussion Amino acid metabolism was the primary altered super pathway in DMD followed by carbohydrate metabolism and lipid metabolism. In contrast, BMD and LGMD 2A exhibited a more prominent alteration in lipid metabolism followed by amino acid metabolism. In SCAs, primarily lipid, amino acid, peptide, nucleotide, and xenobiotics pathways are affected. Our findings offer new insights into the variance of metabolite levels in MD and SCA, with substantial implications for pathology, drug development, therapeutic targets and clinical management. Intriguingly, this study identified two novel metabolites associated with SCA. This pilot cross-sectional study warrants further research involving larger groups of participants, to validate our findings.
AB - Introduction To further advance our understanding of Muscular Dystrophies (MDs) and Spinocerebellar Ataxias (SCAs), it is necessary to identify the biological patterns associated with disease pathology. Although progress has been made in the fields of genetics and transcriptomics, there is a need for proteomics and metabolomics studies. The present study aimed to be the first to document serum metabolic signatures of MDs (DMD, BMD, and LGMD 2A) SCAs (SCA 1-3), from a South Asian perspective.Methods A total of 28 patients (SCA 1-10, SCA 2-2, SCA 3-2, DMD-10, BMD-2, LGMD-2) and eight controls (aged 8-65 years) were included. Metabolomic analysis was performed by Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectroscopy (UPLC-MS/MS), with support from the Houston Omics Collaborative.Results and discussion Amino acid metabolism was the primary altered super pathway in DMD followed by carbohydrate metabolism and lipid metabolism. In contrast, BMD and LGMD 2A exhibited a more prominent alteration in lipid metabolism followed by amino acid metabolism. In SCAs, primarily lipid, amino acid, peptide, nucleotide, and xenobiotics pathways are affected. Our findings offer new insights into the variance of metabolite levels in MD and SCA, with substantial implications for pathology, drug development, therapeutic targets and clinical management. Intriguingly, this study identified two novel metabolites associated with SCA. This pilot cross-sectional study warrants further research involving larger groups of participants, to validate our findings.
KW - muscular dystrophy
KW - ataxia
KW - biomarker
KW - DMD
KW - LGMD
KW - SCA
KW - pathways
KW - DUCHENNE MUSCULAR-DYSTROPHY
KW - ALPHA-KETOGLUTARATE
KW - ALZHEIMERS-DISEASE
KW - NMR-SPECTROSCOPY
KW - AMINO-ACID
KW - PSEUDOURIDYLATION
KW - BRAIN
KW - RNA
KW - URINE
U2 - 10.3389/fnmol.2024.1482999
DO - 10.3389/fnmol.2024.1482999
M3 - Article
SN - 1662-5099
VL - 17
JO - Frontiers in molecular neuroscience
JF - Frontiers in molecular neuroscience
M1 - 1482999
ER -