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Development of an embedded multimodality imaging platform for onco-pharmacology using a smart anticancer prodrug as an example

机译:以智能抗癌前药作为示例,开发用于onGo-Pharmacology的嵌入式多模成像平台

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Increasingly, in vivo imaging holds a strategic position in bio-pharmaceutical innovation. We will present the implementation of an integrated multimodal imaging setup enabling the assessment of multiple, complementary parameters. The system allows the fusion of information provided by: Near infrared fluorescent biomarkers, bioluminescence (for tumor proliferation status), Photoacoustic and Ultrasound imaging. We will study representative applications to the development of a smart prodrug, delivering a highly cytotoxic chemotherapeutic agent to cancer tumors. The results realized the ability of this embedded, multimodality imaging platform to firstly detect bioluminescent and fluorescent signals, and secondly, record ultrasound and photoacoustic data from the same animal. This study demonstrated that the prodrug was effective in three different models of hypoxia in human cancers compared to the parental cytotoxic agent and the vehicle groups. Monitoring by photoacoustic imaging during the treatments revealed that the prodrug exhibits an intrinsic capability to prevent the progression of tumor hypoxia. It is essential for onco-pharmacology studies to precisely document the hypoxic status of tumors both before and during the time course of treatments. This approach opens new perspectives for exploitation of preclinical mouse models of cancer, especially when considering associations between hypoxia, neoangiogenesis and antitumor activity.
机译:越来越多地,体内成像在生物制药创新中存在战略地位。我们将介绍一个集成的多峰成像设置的实现,从而实现了多个互补参数的评估。该系统允许融合提供的信息:近红外荧光生物标志物,生物发光(用于肿瘤增殖状态),光声和超声成像。我们将研究代表性应用于开发智能前药,将高度细胞毒性化学治疗剂递送给癌症肿瘤。结果实现了该嵌入式多模成像平台首先检测生物发光和荧光信号的能力,其次,从相同的动物中记录超声波和光声数据。该研究表明,与父母群细胞毒性剂和载体基团相比,该研究在人类癌症中的三种不同模型的缺氧中有效。在处理过程中,通过光声成像进行监测揭示了前药表现出固有的能力,以防止肿瘤缺氧的进展。对伊索药理学研究至关重要,以精确地记录治疗过程中肿瘤的缺氧状态。这种方法开启了用于剥削癌症的临床前小鼠模型的新观点,特别是在考虑缺氧,新生发生和抗肿瘤活性之间的关联时。

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