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Metabolomics analysis of children with spastic cerebral palsy: a case-control study
Özlem Tezol1, Sıddika Songül Yalçın2, Tuba Reçber3
1Department of Pediatrics, Mersin University, Faculty of Medicine, Mersin, Türkiye.
Insights
Children with spastic cerebral palsy (CP) show altered plasma metabolite profiles, particularly in energy and amino acid metabolism, compared to typically developing children. These metabolic changes may be influenced by factors like epilepsy and motor function.
Area of Science:
- Biochemistry
- Metabolomics
- Pediatric Neurology
Background:
- Spastic cerebral palsy (CP) can lead to secondary complications like pain and fatigue, potentially causing metabolic disturbances.
- Understanding these metabolic alterations is crucial for managing CP and its associated conditions.
Purpose of the Study:
- To investigate and compare the plasma metabolomic profiles of children with spastic CP against those of typically developing controls.
- To identify specific metabolic pathways affected in spastic CP.
Main Methods:
- A case-control study involving 50 children with spastic CP and 55 typically developing controls aged 3-10 years.
- Non-targeted metabolomics analysis of plasma samples using Gas Chromatography-Mass Spectrometry (GC-MS).
- Data analyzed using Metaboanalyst for multivariate, principal component, and pathway analyses.
Main Results:
- Children with spastic CP exhibited significantly lower weight-for-age, height-for-age, and BMI z-scores.
- Significant alterations were observed in 51 metabolites between the CP and control groups.
- Key affected pathways included aminoacyl-tRNA biosynthesis, tyrosine metabolism, valine/leucine/isoleucine biosynthesis, and the TCA cycle.
Conclusions:
- Spastic CP in children is associated with altered plasma metabolites, impacting energy, protein synthesis, and amino acid metabolism.
- Epilepsy and gross motor function level appear to be additional factors influencing these metabolite profiles.
Background:
Spasticity, pain, fatigue and other secondary consequences of spastic CP may lead to metabolic alterations. The aim of this study was to analyze the plasma metabolomic profiles of children with spastic CP and compare these with typically developing controls.
Methods:
This case-control study (n = 50 for CP and n = 55 for control) was conducted between September 2020 and November 2020 at Mersin University Hospital. Three to ten year old patients with spastic CP and age- and sex-matched typically developing controls were included in the study. Data on anthropometric measurements and clinical profiles were collected. Plasma samples were obtained for non-targeted metabolomics. The GC-MS based metabolomics analysis was performed. Metaboanalyst software was used for multivariate analyses, principal component analysis and pathway analyses.
Results:
Spastic quadriplegia, spastic diplegia and spastic hemiplegia were found in 26 (52%), 14 (28%) and 10 (20%) patients, respectively, and 31 patients (62%) were non-ambulant. Twenty-two patients (44%) had epilepsy and antiepileptic use. Mean weight-for-age, height-for- age, and body mass index z-scores were significantly lower in the CP group (p < 0.05). Total 224 metabolites were detected in all subjects. Of these metabolites, 14 were detected at higher and 37 at lower levels in the CP group compared to the control group. The most significant changes in the CP group were found in aminoacyl-tRNA biosynthesis, tyrosine metabolism, valine, leucine and isoleucine biosynthesis, alanine, aspartate and glutamate metabolism, arginine and proline metabolism, citrate cycle (TCA cycle), galactose metabolism and glutathione metabolism. Forty-five metabolites were statistically significant between control, CP with epilepsy and CP without epilepsy groups. Thirty-four metabolites were statistically significant between control, ambulant CP and non-ambulant CP groups.
Conclusion:
Plasma of spastic CP children was associated with alterations in energy metabolism and protein synthesis and amino acid metabolism compared to typically developing children. Gross motor functional level and accompanying epilepsy may also alter the metabolite profiles.
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