ArticleScientific reports2025
Integrated analysis of proteomics and metabolomics in infantile epileptic spasms syndrome.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Multi-omics integration of proteomics and metabolomics in pediatric health and disease.Communications medicine · 2026Review
- The genetic architecture of epilepsy across molecular mechanisms and clinical heterogeneity.Epilepsia open · 2026Review
- Alterations in serum metabolomics predict drug-resistant epilepsy.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Infantile Epileptic Spasms Syndrome (IESS) is a severe developmental epileptic encephalopathy that manifests in infancy, significantly impacting the health and quality of life of affected children. The treatment of IESS poses a significant challenge, primarily due to the incomplete understanding of its etiology and pathogenesis. Objective: This study aims to investigate the pathogenic mechanisms of IESS, utilizing metabolomics and proteomics analyses to uncover potential biomarkers for the disease, thereby providing new insights for diagnostic and therapeutic strategies. Cerebrospinal fluid samples from 6 IESS patients and 6 control subjects with benign intracranial hypertension were collected and analyzed using metabolomics and proteomics techniques. Significant differential metabolites and proteins were identified and correlated to determine key proteins associated with specific metabolites. The study then expanded the sample size to 10 per group and validated the identified proteins through ELISA analysis. A total of 24 differential metabolites (12 upregulated and 12 downregulated) and 79 differential proteins (18 upregulated and 61 downregulated) were identified. Metabolomic analysis suggests that linoleic acid is a highly noteworthy differential metabolite in the cerebrospinal fluid of IESS patients. The associated differential protein HLA-A and SEZ6L2 proteins were notably downregulated (p < 0.05). Linoleic acid and its metabolism-related proteins HLA-A and SEZ6L2 could serve as potential biomarkers for IESS, providing new insights into the complex pathogenic mechanisms of the disease. Additionally, these findings also assist in identifying new therapeutic targets and developing more effective treatment strategies.
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Registered trials
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