中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
DISTINGUISHING INTRACEREBRAL HEMORRHAGE FROM ACUTE CEREBRAL INFARCTION THROUGH METABOLOMICS

文献类型:期刊论文

作者Zhang, Xuxin3; Li, Yanzhao3; Liang, Yan3; Sun, Pitong3; Wu, Xue2,4; Song, Jinhui3; Sun, Xiaoyu2,4; Hong, Mo2,4; Gao, Peng1,2,5; Deng, Dongfeng3
刊名REVISTA DE INVESTIGACION CLINICA-CLINICAL AND TRANSLATIONAL INVESTIGATION
出版日期2017-11-01
卷号69期号:6页码:319-328
关键词Acute Cerebral Infarction Artificial Neural Network Intracerebral Hemorrhage Mass Spectrometry Metabolomics
ISSN号2385-3956
DOI10.24875/RIC.17002348
文献子类Article
英文摘要Background: Acute cerebral infarction (ACI) and intracerebral hemorrhage (ICH) are potentially lethal cerebrovascular diseases that seriously impact public health. ACI and ICH share several common clinical manifestations but have totally divergent therapeutic strategies. A poor diagnosis can affect stroke treatment. Objective: To screen for biomarkers to differentiate ICH from ACI, we enrolled 129 ACI and 128 ICH patients and 65 healthy individuals as controls. Methods: Patients with stroke were diagnosed by computed tomography/magnetic resonance imaging, and their blood samples were obtained by fingertip puncture within 2-12 h after stroke initiation. We compared changes in metabolites between ACI and ICH using dried blood spot-based direct infusion mass spectrometry technology for differentiating ICH from ACI. Results: Through multivariate statistical approaches, 11 biomarkers including 3-hydroxylbutyrylcarnitine, glutarylcarnitine (C5DC), myristoylcarnitine, 3-hydroxypalmitoylcarnitine, tyrosine/citrulline (Cit), valine/phenylalanine, C5DC/3-hydroxyisovalerylcarnitine, CSDC/palmitoylcarnitine, hydroxystearoylcarnitine, ratio of sum of CO, C2, C3, C16, and C18:1 to Cit, and propionylcarnitine/methionine were screened. An artificial neural network model was constructed based on these parameters. A training set was evaluated by cross-validation method. The accuracy of this model was checked by an external test set showing a sensitivity of 0.8400 (95% confidence interval [CIL 0.7394-0.9406) and specificity of 0.7692 (95% CI, 0.6536-0.8848). Conclusion: This study confirmed that metabolomic analysis is a promising tool for rapid and timely stroke differentiation and prediction based on differential metabolites.
WOS关键词ACUTE ISCHEMIC-STROKE ; AMINO-ACID SIGNATURE ; RISK-FACTORS ; METABOLISM ; DISCOVERY ; DISEASE
WOS研究方向General & Internal Medicine
语种英语
WOS记录号WOS:000419750200004
出版者INST NACIONAL NUTRICION
源URL[http://cas-ir.dicp.ac.cn/handle/321008/168530]  
专题大连化学物理研究所_中国科学院大连化学物理研究所
通讯作者Zhang, Xuxin; Deng, Dongfeng
作者单位1.Dalian Univ, Affiliated Zhongshan Hosp, Dept SICU, Dalian, Liaoning, Peoples R China
2.Liaoning Med Univ, Affiliated Hosp 1, KLLTCM, Jinzhou, Liaoning, Peoples R China
3.Dalian Univ, Affiliated Zhongshan Hosp, Dept Neurosurg, Dalian, Liaoning, Peoples R China
4.RSKT Biopharma Inc, Jinzhou 121000, Liaoning, Peoples R China
5.Dalian Inst Chem Phys, Chinese Acad Sci, Dept Biotechnol, Dalian, Liaoning, Peoples R China
6.Dalian Sixth Peoples Hosp, Med Ctr, Dept Translat, Clin Lab, Dalian, Liaoning, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Xuxin,Li, Yanzhao,Liang, Yan,et al. DISTINGUISHING INTRACEREBRAL HEMORRHAGE FROM ACUTE CEREBRAL INFARCTION THROUGH METABOLOMICS[J]. REVISTA DE INVESTIGACION CLINICA-CLINICAL AND TRANSLATIONAL INVESTIGATION,2017,69(6):319-328.
APA Zhang, Xuxin.,Li, Yanzhao.,Liang, Yan.,Sun, Pitong.,Wu, Xue.,...&Deng, Dongfeng.(2017).DISTINGUISHING INTRACEREBRAL HEMORRHAGE FROM ACUTE CEREBRAL INFARCTION THROUGH METABOLOMICS.REVISTA DE INVESTIGACION CLINICA-CLINICAL AND TRANSLATIONAL INVESTIGATION,69(6),319-328.
MLA Zhang, Xuxin,et al."DISTINGUISHING INTRACEREBRAL HEMORRHAGE FROM ACUTE CEREBRAL INFARCTION THROUGH METABOLOMICS".REVISTA DE INVESTIGACION CLINICA-CLINICAL AND TRANSLATIONAL INVESTIGATION 69.6(2017):319-328.

入库方式: OAI收割

来源:大连化学物理研究所

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