Identification of three potential novel biomarkers for early diagnosis of acute ischemic stroke via plasma lipidomics

Yu, Yi; Xue, Wen; Lin, Jianqing; Li, Jun; Liang, Hongfeng; Lin, Shu‐Yi; Xu, Qiu-Gui; Li, Jicheng

doi:10.1007/s11306-023-01990-3

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…Lipidomics, a subfield of metabolomics, has also contributed to the discovery of IS biomarkers. Carnitine C10:1 and Carnitine C10:1-OH levels decrease, while Cer (d18:0/16:0) levels increase in acute IS patients compared to healthy controls [ 130 ]. These findings suggest that changes in carnitine and ceramide levels might be associated with altered energy production and cell death processes occurring during IS.…”

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

View full text Add to dashboard Cite

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Plasma lipidomic profiling reveals six candidate biomarkers for the prediction of incident stroke in patients with hypertension

Zeng,

Zhang,

Zhao

et al. 2024

Metabolomics

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Bioinformatics strategies to identify differences in molecular biomarkers for ischemic stroke and myocardial infarction

Wang,

Gao,

Chen

et al. 2023

Medicine

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Ischemic strokes (ISs) are commonly treated by intravenous thrombolysis using a recombinant tissue plasminogen activator; however, successful treatment can only occur within 3 hours after the stroke. Therefore, it is crucial to determine the causes and underlying molecular mechanisms, identify molecular biomarkers for early diagnosis, and develop precise preventive treatments for strokes. We aimed to clarify the differences in gene expression, molecular mechanisms, and drug prediction approaches between IS and myocardial infarction (MI) using comprehensive bioinformatics analysis. The pathogenesis of these diseases was explored to provide directions for future clinical research. The IS (GSE58294 and GSE16561) and MI (GSE60993 and GSE141512) datasets were downloaded from the Gene Expression Omnibus database. IS and MI transcriptome data were analyzed using bioinformatics methods, and the differentially expressed genes (DEGs) were screened. A protein–protein interaction network was constructed using the STRING database and visualized using Cytoscape, and the candidate genes with high confidence scores were identified using Degree, MCC, EPC, and DMNC in the cytoHubba plug-in. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the DEGs were performed using the database annotation, visualization, and integrated discovery database. Network Analyst 3.0 was used to construct transcription factor (TF) – gene and microRNA (miRNA) – gene regulatory networks of the identified candidate genes. The DrugBank 5.0 database was used to identify gene–drug interactions. After bioinformatics analysis of IS and MI microarray data, 115 and 44 DEGS were obtained in IS and MI, respectively. Moreover, 8 hub genes, 2 miRNAs, and 3 TFs for IS and 8 hub genes, 13 miRNAs, and 2 TFs for MI were screened. The molecular pathology between IS and MI presented differences in terms of GO and KEGG enrichment pathways, TFs, miRNAs, and drugs. These findings provide possible directions for the diagnosis of IS and MI in the future.

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Identification of three potential novel biomarkers for early diagnosis of acute ischemic stroke via plasma lipidomics

Cited by 4 publications

References 32 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

Plasma lipidomic profiling reveals six candidate biomarkers for the prediction of incident stroke in patients with hypertension

Bioinformatics strategies to identify differences in molecular biomarkers for ischemic stroke and myocardial infarction

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