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Metabolomic analysis reveals potential biomarkers and serum metabolomic profiling in spontaneous intracerebral hemorrhage patients using UPLC/quadrupole time-of-flight MS
Biomedical Chromatography ( IF 1.8 ) Pub Date : 2021-09-10 , DOI: 10.1002/bmc.5241 Guozhang Sun 1, 2 , Fengling Jiang 3 , Shaoshan Hu 1 , Huakun Cheng 2 , Lianlong Qu 2 , Yu Tao 2 , Bowen Ma 2
Biomedical Chromatography ( IF 1.8 ) Pub Date : 2021-09-10 , DOI: 10.1002/bmc.5241 Guozhang Sun 1, 2 , Fengling Jiang 3 , Shaoshan Hu 1 , Huakun Cheng 2 , Lianlong Qu 2 , Yu Tao 2 , Bowen Ma 2
Affiliation
Spontaneous intracerebral hemorrhage (ICH) accounts for 10–20% of all strokes and contributes to higher mortalities and severe disabilities. The aims of this study were, therefore, to characterize novel biomarkers, metabolic disruptions, and mechanisms involving ICH. A total 30 ICH patients and 30 controls were enrolled in the study, and their clinical characteristics were analyzed. Nontargeted metabolomic analysis was conducted using ultra-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC/Q-TOF). 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 and globulin and a lower albumin/globin ratio when compared with controls. In sum, 11 important metabolites were identified, which were associated with disruption of fatty acid oxidation and 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 (20:3/22:6) have potential as biomarkers of ICH, and the area under the curve, sensitivity, specificity were 0.974, 90%, and 93%, respectively. These findings provide insights into the pathogenesis, early prevention, and diagnosis of ICH.
中文翻译:
代谢组学分析揭示了使用 UPLC/四极杆飞行时间 MS 在自发性脑出血患者中的潜在生物标志物和血清代谢组学分析
自发性脑出血 (ICH) 占所有中风的 10-20%,并导致更高的死亡率和严重的残疾。因此,本研究的目的是表征新的生物标志物、代谢紊乱和涉及 ICH 的机制。共有 30 名 ICH 患者和 30 名对照者参加了研究,并分析了他们的临床特征。使用超高效液相色谱四极杆飞行时间串联质谱 (UPLC/Q-TOF) 进行非靶向代谢组学分析。多变量统计分析和受试者工作特征曲线分析用于筛选和评估生物标志物的预测能力。ICH 患者的收缩压、舒张压、血糖水平、白细胞计数、与对照组相比,中性粒细胞计数、中性粒细胞和球蛋白的百分比以及较低的白蛋白/球蛋白比率。总之,鉴定出 11 种重要的代谢物,它们与脂肪酸氧化和鞘脂和磷脂代谢的破坏以及炎症、氧化应激和血管病变的增加有关。这些代谢物的进一步多元逻辑回归分析表明,左旋肉碱和磷脂酰胆碱(20:3/22:6)具有作为ICH生物标志物的潜力,曲线下面积、敏感性、特异性分别为0.974、90%和93%。这些发现为 ICH 的发病机制、早期预防和诊断提供了见解。
更新日期:2021-09-10
中文翻译:
代谢组学分析揭示了使用 UPLC/四极杆飞行时间 MS 在自发性脑出血患者中的潜在生物标志物和血清代谢组学分析
自发性脑出血 (ICH) 占所有中风的 10-20%,并导致更高的死亡率和严重的残疾。因此,本研究的目的是表征新的生物标志物、代谢紊乱和涉及 ICH 的机制。共有 30 名 ICH 患者和 30 名对照者参加了研究,并分析了他们的临床特征。使用超高效液相色谱四极杆飞行时间串联质谱 (UPLC/Q-TOF) 进行非靶向代谢组学分析。多变量统计分析和受试者工作特征曲线分析用于筛选和评估生物标志物的预测能力。ICH 患者的收缩压、舒张压、血糖水平、白细胞计数、与对照组相比,中性粒细胞计数、中性粒细胞和球蛋白的百分比以及较低的白蛋白/球蛋白比率。总之,鉴定出 11 种重要的代谢物,它们与脂肪酸氧化和鞘脂和磷脂代谢的破坏以及炎症、氧化应激和血管病变的增加有关。这些代谢物的进一步多元逻辑回归分析表明,左旋肉碱和磷脂酰胆碱(20:3/22:6)具有作为ICH生物标志物的潜力,曲线下面积、敏感性、特异性分别为0.974、90%和93%。这些发现为 ICH 的发病机制、早期预防和诊断提供了见解。