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首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Application of comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry method to identify potential biomarkers of perinatal asphyxia in a non-human primate model
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Application of comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry method to identify potential biomarkers of perinatal asphyxia in a non-human primate model

机译:飞行时间质谱综合二维气相色谱法在非人灵长类动物模型中识别围产期窒息的潜在生物标志物的应用

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Perinatal asphyxia is a leading cause of brain injury in infants, occurring in 2–4 per 1000 live births. The clinical response to asphyxia is variable and difficult to predict with current diagnostic tests. Reliable biomarkers are needed to help predict the timing and severity of asphyxia, as well as response to treatment. Two-dimensional gas chromatography–time-of-flight-mass spectrometry (GC×GC–TOFMS) was used herein, in conjunction with chemometric data analysis approaches for metabolomic analysis in order to identify significant metabolites affected by birth asphyxia. Blood was drawn before and after 15 or 18 min of cord occlusion in a Macaca nemestrina model of perinatal asphyxia. Postnatal samples were drawn at 5 min of age (n = 20 subjects). Metabolomic profiles of asphyxiated animals were compared to four controls delivered at comparable gestational age. Fifty metabolites with the greatest change pre- to post-asphyxia were identified and quantified. The metabolic profile of post-asphyxia samples showed marked variability compared to the pre-asphyxia samples. Fifteen of the 50 metabolites showed significant elevation in response to asphyxia, ten of which remained significant upon comparison to the control animals. This metabolomic analysis confirmed lactate and creatinine as markers of asphyxia and discovered new metabolites including succinic acid and malate (intermediates in the Krebs cycle) and arachidonic acid (a brain fatty acid and inflammatory marker) as potential biomarkers. GC×GC–TOFMS coupled with chemometric data analysis are useful tools to identify acute biomarkers of brain injury. Further study is needed to correlate these metabolites with severity of disease, and response to treatment.
机译:围产期窒息是婴儿脑部伤害的主要原因,每千名活产婴儿中有2-4人发生。对窒息的临床反应是多种多样的,目前的诊断测试难以预测。需要可靠的生物标志物来帮助预测窒息的时机和严重程度,以及对治疗的反应。本文使用二维气相色谱-飞行时间质谱(GC×GC-TOFMS),结合化学计量学数据分析方法进行代谢组学分析,以鉴定受出生窒息影响的重要代谢物。在围产期窒息的猕猴模型中,在闭塞15或18分钟之前和之后抽血。在5分钟龄时抽取出生后样本(n = 20名受试者)。将窒息动物的代谢组学特征与在可比较的胎龄下递送的四个对照进行比较。鉴定并量化了窒息前后变化最大的五十种代谢物。与窒息前的样品相比,窒息后的样品的代谢曲线显示出明显的变异性。 50种代谢产物中有15种表现出对窒息的显着升高,与对照动物相比,其中10种仍然显着。这项代谢组学分析证实乳酸和肌酐是窒息的标志物,并发现了新的代谢产物,包括琥珀酸和苹果酸(克雷布斯循环中的中间体)和花生四烯酸(脑脂肪酸和炎性标志物)是潜在的生物标志物。 GC×GC–TOFMS结合化学计量学数据分析是识别脑损伤的急性生物标志物的有用工具。需要进一步研究以将这些代谢物与疾病的严重程度以及对治疗的反应相关联。

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