ArticleFrontiers in endocrinology2023
Potential preventive markers in the intracerebral hemorrhage process are revealed by serum untargeted metabolomics in mice using hypertensive cerebral microbleeds.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 3 citations in OpenAlex.
- The predictive value of serum OX-LDL and 25-(OH)-D levels for cerebral edema in patients with hypertensive cerebral haemorrhage.Journal of medical biochemistry · 2026Article
- Application of metabolomics in hypertension research: A bibliometric study and literature review.International journal of cardiology. Heart & vasculature · 2026Review
- Exploring possible mechanisms of antiviral effect of Shufeng Jiedu Capsule on viral pneumonia: A comprehensive analysis.Chinese herbal medicines · 2026Article
- LC-MS-based serum metabolomics reveals distinct metabolic signatures in patients with intracerebral Hemorrhage.Frontiers in neurologyArticle
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11 authors at 3 institutions in 1 country.
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Abstract
Hypertensive cerebral microbleeds (HCMB) may be the early stage of hypertensive intracerebral hemorrhage (HICH), which is a serious threat to health due to its high mortality and disability rates. The early clinical symptoms of HCMB may not be significant. Moreover, it is difficult to achieve early diagnosis and intervention for targeted prevention of HICH. Although hypertension (HTN) is a predisposition for HCMB, it remains unclear whether there is any difference between hypertensive patients with or without HCMB. Therefore, we carried out liquid chromatography-mass spectrometry (LC-MS) to analyze early biomarkers for HCMB in mice with hypertension and to lay the foundation for early prevention of HICH in hypertensive patients. In total, 18 C57 male mice were randomly divided into the HCMB (n = 6), HTN (n = 6), and control groups (CON, n = 6). Hematoxylin-eosin and diaminobenzidine staining were used to assess the reliability of the model. The metabolite expression level and sample category stability were tested using the displacement test of orthogonal partial least squares discriminant analysis (OPLS-DA). Significant differences in metabolites were screened out using variable importance in the projection (VIP > 1), which were determined using the OPLS-DA model and the P-value of the t-test (
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