ArticleFrontiers in neuroscience2020
Changes of Metabolites in Acute Ischemic Stroke and Its Subtypes.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence.Frontiers in neurology · 2025Pooled it
- Sex as a biological variable in determining the metabolic changes influencing acute ischemic stroke outcomes-Where is the data: A systematic review.Frontiers in neurology · 2022Pooled it
- Advances in metabolomics of biomarkers for ischemic stroke: From bench to clinic.Neural regeneration research · 2026Article
- Mechanistic investigation of Liujing Toutong tablet in the treatment of cerebral ischemia-reperfusion injury in rats by the integration of serum pharmacochemistry and metabolomics.Animal models and experimental medicine · 2026Article
- Lipidomic profiling identifies key pathways and a 5-lipid panel with high diagnostic efficacy for ischemic stroke.Scientific reports · 2026Article
- Targeting the Biology of Aging in Cerebrovascular Disease: Inflammation, Metabolism, Senescence, and Regeneration.International journal of molecular sciences · 2026Review
- The role of metabolomics in stroke: biomarkers of diagnosis and therapy.Metabolic brain disease · 2025Review
- Discovery of metabolic biomarkers for distinguishing LAA and SVO subtypes of acute ischemic stroke.Scientific reports · 2025Article
- Dietary Amino Acids and Risk of Stroke Subtypes: Results from 3 Large Prospective Cohort Studies.The Journal of nutrition · 2025Article
- The role of astrocyte metabolic reprogramming in ischemic stroke (Review).International journal of molecular medicine · 2025Review
- Untargeted metabolomics unveils critical metabolic signatures in novel phenotypes of acute ischemic stroke.Metabolic brain disease · 2025Article
- Alterations in gut microbiota and metabolomic profiles in acute stroke: insights into brain-gut axis dysregulation.Frontiers in microbiology · 2025Article
- Mechanisms of QiShenYiQi in Inhibiting Blood-Brain Barrier Damage Following Stroke: A Network Pharmacology and Experimental Study.Combinatorial chemistry & high throughput screening · 2025Article
- Biomarker identification and risk assessment of cardiovascular disease based on untargeted metabolomics and machine learning.Scientific reports · 2024Article
- Exploring Lysophosphatidylcholine as a Biomarker in Ischemic Stroke: The Plasma-Brain Disjunction.International journal of molecular sciences · 2024Article
- Recent advances in cardiovascular disease research driven by metabolomics technologies in the context of systems biology.npj metabolic health and disease · 2024Review
- Preliminary study of metabonomic changes during the progression of atherosclerosis in miniature pigs.Animal models and experimental medicine · 2024Article
- The Untargeted Metabolomics Reveals Differences in Energy Metabolism in Patients with Different Subtypes of Ischemic Stroke.Molecular neurobiology · 2024Article
- β-hydroxybutyrate and ischemic stroke: roles and mechanisms.Molecular brain · 2024Review
- Advances in development of biomarkers for brain damage and ischemia.Molecular biology reports · 2024Review
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Existing techniques have many limitations in the diagnosis and classification of ischemic stroke (IS). Considering this, we used metabolomics to screen for potential biomarkers of IS and its subtypes and to explore the underlying related pathophysiological mechanisms. Serum samples from 99 patients with acute ischemic stroke (AIS) [the AIS subtypes included 49 patients with large artery atherosclerosis (LAA) and 50 patients with small artery occlusion (SAO)] and 50 matched healthy controls (HCs) were analyzed by non-targeted metabolomics based on liquid chromatography-mass spectrometry. A multivariate statistical analysis was performed to identify potential biomarkers. There were 18 significantly different metabolites, such as oleic acid, linoleic acid, arachidonic acid, L-glutamine, L-arginine, and L-proline, between patients with AIS and HCs. These different metabolites are closely related to many metabolic pathways, such as fatty acid metabolism and amino acid metabolism. There were also differences in metabolic profiling between the LAA and SAO groups. There were eight different metabolites, including L-pipecolic acid, 1-Methylhistidine, PE, LysoPE, and LysoPC, which affected glycerophospholipid metabolism, glycosylphosphatidylinositol-anchor biosynthesis, histidine metabolism, and lysine degradation. Our study effectively identified the metabolic profiles of IS and its subtypes. The different metabolites between LAA and SAO may be potential biomarkers in the context of clinical diagnosis. These results highlight the potential of metabolomics to reveal new pathways for IS subtypes and provide a new avenue to explore the pathophysiological mechanisms underlying IS and its subtypes.
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