合成磁共振成像对比剂的新草药来源

IF 3 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Ali Yazdani, Ahmadreza Okhovat, Raheleh Doosti, Hamid Soltanian-Zadeh
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引用次数: 0

摘要

本研究探讨了盐生植物(适应盐碱环境的植物)作为开发中药磁共振成像造影剂的新来源的潜力。盐生植物在其组织中自然积累了各种金属。这些可能与有机分子络合的金属离子会释放到从植物中制备的水溶液中。我们采用连续的方法研究了这些化合物在核磁共振成像中产生对比增强的能力。首先,我们从七种选定的卤叶植物中制备了水提取物,并评估了它们在磁共振成像中诱导对比的能力。根据这些初步研究结果,选择了一些卤叶植物样本进行进一步研究。其次,化学分析显示铝是增强对比度的主要有效金属。第三,根据极性对盐生植物提取物进行分馏,其中极性最强的馏分具有最强的造影效果。最后,测量了该部分的弛豫性,这是核磁共振成像造影剂的一个关键参数。我们认为,铝可能与植物提取物中的极性分子络合,是磁共振成像中观察到的对比度增强的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Herbal Source of Synthesizing Contrast Agents for Magnetic Resonance Imaging

This study explores the potential of halophytes, plants adapted to saline environments, as a novel source for developing herbal MRI contrast agents. Halophytes naturally accumulate various metals within their tissues. These metal ions, potentially complexed with organic molecules, are released into aqueous solutions prepared from the plants. We investigated the ability of these compounds to generate contrast enhancement in MRI using a sequential approach. First, aqueous extracts were prepared from seven selected halophytes, and their capacity to induce contrast in MR images was evaluated. Based on these initial findings, sample halophytes were chosen for further investigations. Second, chemical analysis revealed aluminum as the primary potent metal which enhances the contrast. Third, the halophyte extract was fractionated based on polarity, and the most polar fraction exhibited the strongest contrast-generating effect. Finally, the relaxivity of this fraction, a key parameter for MRI contrast agents, was measured. We propose that aluminum, likely complexed with a polar molecule within the plant extract, is responsible for the observed contrast enhancement in MRI.

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来源期刊
International Journal of Imaging Systems and Technology
International Journal of Imaging Systems and Technology 工程技术-成像科学与照相技术
CiteScore
6.90
自引率
6.10%
发文量
138
审稿时长
3 months
期刊介绍: The International Journal of Imaging Systems and Technology (IMA) is a forum for the exchange of ideas and results relevant to imaging systems, including imaging physics and informatics. The journal covers all imaging modalities in humans and animals. IMA accepts technically sound and scientifically rigorous research in the interdisciplinary field of imaging, including relevant algorithmic research and hardware and software development, and their applications relevant to medical research. The journal provides a platform to publish original research in structural and functional imaging. The journal is also open to imaging studies of the human body and on animals that describe novel diagnostic imaging and analyses methods. Technical, theoretical, and clinical research in both normal and clinical populations is encouraged. Submissions describing methods, software, databases, replication studies as well as negative results are also considered. The scope of the journal includes, but is not limited to, the following in the context of biomedical research: Imaging and neuro-imaging modalities: structural MRI, functional MRI, PET, SPECT, CT, ultrasound, EEG, MEG, NIRS etc.; Neuromodulation and brain stimulation techniques such as TMS and tDCS; Software and hardware for imaging, especially related to human and animal health; Image segmentation in normal and clinical populations; Pattern analysis and classification using machine learning techniques; Computational modeling and analysis; Brain connectivity and connectomics; Systems-level characterization of brain function; Neural networks and neurorobotics; Computer vision, based on human/animal physiology; Brain-computer interface (BCI) technology; Big data, databasing and data mining.
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