Identification of a potential prognostic plasma biomarker of acute ischemic stroke via untargeted LC‐MS metabolomics

Wu, Ming-Hsiu; Lin, Yu‐Hsuan; Chen, Chao‐Jung

doi:10.1002/prca.202200081

Cited by 4 publications

(3 citation statements)

References 25 publications

(34 reference statements)

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“…Additionally, Wang’s research found that serum bile acids are a risk factor for poor prognosis after IS and a protective factor for the brain [ 122 , 125 ]. Furthermore, glycylcholic acid levels may be indicative of prognosis in IS patients, with higher levels potentially reflecting a better outcome [ 126 ]. The observed increase in glutamic acid and decrease in glutamine are believed to be associated with an increased risk of cardiovascular disease, particularly stroke [ 127 ].…”

Section: Identify Potential Biomarkers For Ismentioning

confidence: 99%

Metabolomic discoveries for early diagnosis and traditional Chinese medicine efficacy in ischemic stroke

Wei,

Chen,

Deng

et al. 2024

Biomark Res

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Ischemic stroke (IS), a devastating cerebrovascular accident, presents with high mortality and morbidity. Following IS onset, a cascade of pathological changes, including excitotoxicity, inflammatory damage, and blood-brain barrier disruption, significantly impacts prognosis. However, current clinical practices struggle with early diagnosis and identifying these alterations. Metabolomics, a powerful tool in systems biology, offers a promising avenue for uncovering early diagnostic biomarkers for IS. By analyzing dynamic metabolic profiles, metabolomics can not only aid in identifying early IS biomarkers but also evaluate Traditional Chinese Medicine (TCM) efficacy and explore its mechanisms of action in IS treatment. Animal studies demonstrate that TCM interventions modulate specific metabolite levels, potentially reflecting their therapeutic effects. Identifying relevant metabolites in cerebral ischemia patients holds immense potential for early diagnosis and improved outcomes. This review focuses on recent metabolomic discoveries of potential early diagnostic biomarkers for IS. We explore variations in metabolites observed across different ages, genders, disease severity, and stages. Additionally, the review examines how specific TCM extracts influence IS development through metabolic changes, potentially revealing their mechanisms of action. Finally, we emphasize the importance of integrating metabolomics with other omics approaches for a comprehensive understanding of IS pathophysiology and TCM efficacy, paving the way for precision medicine in IS management.

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Section: Identify Potential Biomarkers For Ismentioning

confidence: 99%

Metabolomic discoveries for early diagnosis and traditional Chinese medicine efficacy in ischemic stroke

Wei,

Chen,

Deng

et al. 2024

Biomark Res

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“…The aim of the present study was to investigate changes in metabolite levels of fecal matter in male and female offspring exposed to FADD and ChDD during early neurodevelopment and an ischemic stroke during adulthood. Untargeted metabolite analysis has been shown to provide some insight to changes after stroke (Zhao et al, 2022), predict stroke outcome (Chi et al, 2021), as well as generate data for biomarkers (Li et al, 2018; M.-H. Wu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Maternal dietary deficiencies in folic acid and choline change metabolites levels in offspring after ischemic stroke

Anwar,

Mosley,

Jasbi

et al. 2024

Preprint

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Ischemic stroke is a debilitating disease, with nutrition being a modifiable risk factor. Changes in levels of metabolites can be used to measure the alterations in the gut, a significant marker for the etiology of diseases. This study utilized untargeted metabolomics to investigate changes in fecal samples of offspring in response to maternal dietary deficiencies and ischemic stroke. Female mice were placed on control (CD), folic acid- (FADD), or choline-deficient (ChDD) diets prior to, during pregnancy, and lactation. Offspring were weaned on to CD and at 2 months of age an ischemic stroke was induced. Fecal samples were collected prior to ischemic stroke, and at 1- and 4-weeks post-stroke for analysis. Sex and maternal dietary differences in metabolites were observed at both the 1- and 4-week post-stroke timepoints. At the 1-week post-stroke, female FADD offspring had more changes in metabolites than males. Comparatively, at the 4-week post-stroke timepoint, female offspring on either FADD or ChDD demonstrated metabolite changes. This study demonstrates a long-lasting impact of maternal dietary deficiencies on central nervous system and gut microbiome function after ischemic stroke.Summary StatementOur study investigated metabolite changes in female and male offspring fecal samples from mothers maintained on folic acid or choline deficient diet. We report that female offspring metabolite levels were impacted.

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“…This suggests that plasma succinate concentrations can be used as a biomarker for pre-hospital aortic disease diagnosis and reliable differentiation from acute myocardial infarction and pulmonary embolism when patients present with chest pain. Glycocholic acid has been identified as a potential plasma metabolite marker for the functional outcome after acute ischemic stroke (AIS) in an untargeted LC/MS metabolomics study ( Wu et al, 2023 ). Elevated levels of 4-hydroxyphenylacetic acid and decreased levels of threonine were found to be associated with an increased risk of cardiovascular events ( Ferreira-Divino et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Untargeted plasma metabolome identifies biomarkers in patients with extracranial arteriovenous malformations

Fan,

Gao,

Deng

et al. 2023

Front. Physiol.

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Objective: This study aimed to investigate the plasma metabolic profile of patients with extracranial arteriovenous malformations (AVM).Method: Plasma samples were collected from 32 AVM patients and 30 healthy controls (HC). Ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) was employed to analyze the metabolic profiles of both groups. Metabolic pathway enrichment analysis was performed through Kyoto Encyclopedia of Genes and Genomes (KEGG) database and MetaboAnalyst. Additionally, machine learning algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO) and random forest (RF) were conducted to screen characteristic metabolites. The effectiveness of the serum biomarkers for AVM was evaluated using a receiver-operating characteristics (ROC) curve.Result: In total, 184 differential metabolites were screened in this study, with 110 metabolites in positive ion mode and 74 metabolites in negative mode. Lipids and lipid-like molecules were the predominant metabolites detected in both positive and negative ion modes. Several significant metabolic pathways were enriched in AVMs, including lipid metabolism, amino acid metabolism, carbohydrate metabolism, and protein translation. Through machine learning algorithms, nine metabolites were identify as characteristic metabolites, including hydroxy-proline, L-2-Amino-4-methylenepentanedioic acid, piperettine, 20-hydroxy-PGF2a, 2,2,4,4-tetramethyl-6-(1-oxobutyl)-1,3,5-cyclohexanetrione, DL-tryptophan, 9-oxoODE, alpha-Linolenic acid, and dihydrojasmonic acid.Conclusion: Patients with extracranial AVMs exhibited significantly altered metabolic patterns compared to healthy controls, which could be identified using plasma metabolomics. These findings suggest that metabolomic profiling can aid in the understanding of AVM pathophysiology and potentially inform clinical diagnosis and treatment.

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Identification of a potential prognostic plasma biomarker of acute ischemic stroke via untargeted LC‐MS metabolomics

Cited by 4 publications

References 25 publications

Metabolomic discoveries for early diagnosis and traditional Chinese medicine efficacy in ischemic stroke

Metabolomic discoveries for early diagnosis and traditional Chinese medicine efficacy in ischemic stroke

Maternal dietary deficiencies in folic acid and choline change metabolites levels in offspring after ischemic stroke

Untargeted plasma metabolome identifies biomarkers in patients with extracranial arteriovenous malformations

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