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Metabolomic Analysis Reveals Potential Biomarkers and Serum Metabolomic Profiling in Spontaneous Intracerebral Hemorrhage Patients using UPLC/Q-TOF MS

Biomed Chromatogr. 2021 Sep 10:e5241. doi: 10.1002/bmc.5241. Online ahead of print.

ABSTRACT

Spontaneous intracerebral hemorrhage (ICH) accounts for 10-20% of all strokes, and contributes to higher mortalities and severe disabilities. The objectives of this study were therefore to characterize novel biomarkers, metabolic disruptions, and the mechanisms involving ICH. A total 30 ICH patients and 30 control subjects were enrolled in the study, followed by analyses of their clinical characteristics. Non-targeted metabolomic analysis was conducted using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF MS). Multivariate statistical analysis and receiver operating characteristic curve analysis were used for screening and evaluating the predictive ability of biomarkers. ICH patients showed significantly higher systolic blood pressure, diastolic blood pressure, blood glucose levels, white blood cell counts, neutrophil count, Percentage of neutrophils, globulin, and a lower albumin/globin ratio, when compared with control subjects. In total, 11 important metabolites were identified, which were associated with disruption of fatty acid oxidation, sphingolipid and phospholipid metabolism, as well as increased inflammation, oxidative stress, and vascular pathologies. Further multiple logistic regression analyses of these metabolites showed that L-carnitine and phosphatidylcholine (PC) (20:3/22:6) have potential as biomarkers of ICH, and the area under the curve and the sensitivity and specificity were 0.974, 90%, and 93%, respectively. These findings provide insights into the pathogenesis, early prevention, and diagnosis of ICH.

PMID:34505712 | DOI:10.1002/bmc.5241

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