Metabolomics profiling of plaque enhancement in ischemic stroke patients with large artery intracranial atherosclerosis
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Le résumé fourni par la source
BACKGROUND: Vessel wall plaque high enhancement (HE) may be regarded as an unstable and vulnerable feature of atherosclerosis. We aimed to find differential serum metabolites in ischemic stroke patients with and without HE plaques and establish models to predict plaque enhancement. METHODS: Sixty participants were recruited and divided into HE and non-HE groups. Non-targeted metabolomics was performed to analyse the differential serum metabolites in the two groups. Partial least squares discriminant analysis was used to combine the parameter selection and classification into one operation. We used the least absolute shrinkage and selection operator, random forest machine learning models, and five binary classification models with 10-fold cross-validation approaches for deeper variable reduction and selection. Finally, logistic regression was used to evaluate the metabolites' effects on intracranial atherosclerotic plaque contrast enhancement. For accuracy analysis, we compared the areas under the receiver operating characteristic curves and used internal validation for nomogram. RESULTS: A total of 279 differential metabolites were detected in HE patients compared with the non-HE controls. Machine learning determined a combination of three decreased metabolites, 5α-dihydrotestosterone, D-fructose 6-phosphate, and phosphatidylcholine (32:2), was associated with HE and may serve as potential biomarkers. CONCLUSIONS: Decrease of three metabolites is useful for predicting HE of intracranial atherosclerosis plaques in patients with ischemic stroke.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Metabolomics profiling of plaque enhancement in ischemic stroke patients with large artery intracranial atherosclerosis
- Date Crossref
- 01/01/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Hebei Medical University Department of Radiology pays non établi dans la noticeUniversité ou école supérieure
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Second Hospital of Hebei Medical University pays non établi dans la noticeÉtablissement de santé
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First Affiliated Hospital of Hebei Medical University pays non établi dans la noticeÉtablissement de santé
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Chinese Academy of Medical Sciences & Peking Union Medical College pays non établi dans la noticeUniversité ou école supérieure
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Peking Union Medical College Hospital Department of Neurology pays non établi dans la noticeÉtablissement de santé
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The Second Hospital of Medical University Department of Psychosomatic Medicine pays non établi dans la noticeUniversité ou école supérieure
Department of Radiology — Hebei Medical University, Second Hospital of Hebei Medical University et First Affiliated Hospital of Hebei Medical University, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.