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Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score

机译:定制血源性文化分泌蛋白组的化学计量学模型以评估个性化癌症风险评分

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摘要

The molecular protonation profiles obtained by means of an organic electrochemical transistor, which is used for analysis of molecular products released by blood-derived cultures, contain a large amount of information The transistor is based on the conductive polymer PEDOT:PSS comprising super hydrophobic SU8 pillars positioned on the substrate to form a non-periodic square lattice to measure the state of protonation on secretomes derived from liquid biopsies. In the extracellular space of cultured cells, the number of glycation products increase, driven both by a glycolysis metabolism and by a compromised function of the glutathione redox system. Glycation products are a consequence of the interaction of the reactive aldehydes and side glycolytic products with other molecules. As a result, the amount of the glycation products reflects the anti-oxidative cellular reserves, counteracting the reactive aldehyde production of which both the secretome protonation profile and cancer risk are related. The protonation profiles can be profitably exploited through the use of mathematical techniques and multivariate statistics. This study provides a novel chemometric approach for molecular analysis of protonation and discusses the possibility of constructing a predictive cancer risk model based on the exploration of data collected by conventional analysis techniques and novel nanotechnological devices.
机译:通过有机电化学晶体管获得的分子质子化曲线可用于分析血液衍生的培养物释放的分子产物,其中包含大量信息。该晶体管基于包含超疏水SU8柱的导电聚合物PEDOT:PSS将其定位在底物上以形成非周期性方格,以测量源自液体活检的分泌蛋白组的质子化状态。在培养细胞的细胞外空间中,糖基化产物的数量增加,这是由糖酵解代谢和谷胱甘肽氧化还原系统的功能受损共同驱动的。糖基化产物是反应性醛和副糖解产物与其他分子相互作用的结果。结果,糖基化产物的量反映出抗氧化的细胞储备,抵消了反应性醛的产生,而分泌醛的质子化特征与癌症风险均相关。通过使用数学技术和多元统计,可以有利地利用质子化曲线。这项研究为质子化分子分析提供了一种新的化学计量学方法,并讨论了在探索常规分析技术和新型纳米技术设备的数据的基础上构建预测性癌症风险模型的可能性。

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