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自动合成平台上的[AlF]标记肽:将实验室工作台工作转化为床边应用

F[AlF]-radiolabelled Peptides on the Automated Synthesis Platform: Translating the Laboratory Bench Work to Bedside.

作者信息

Hassan Hishar, Razak Hairil Rashmizal Abdul, Saad Fathinul Fikri Ahmad, Kumar Vijay

机构信息

Centre for Diagnostic Nuclear Imaging, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.

Department of Imaging, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.

出版信息

Malays J Med Sci. 2019 Jul;26(4):122-126. doi: 10.21315/mjms2019.26.4.14. Epub 2019 Aug 29.

Abstract

Using radiolabelled peptides that bind, with high affinity and specificity, to receptors on tumour cells is one of the most promising fields in modern molecular imaging and targeted radionuclide therapy (1). In the emergence of molecular imaging and nuclear medicine diagnosis and therapy, albeit theranostic, radiolabelled peptides have become vital tools for in vivo visualisation and monitoring physiological and biochemical processes on molecular and cellular levels (2). This approach may benefit patients in the era of personalised medicine.

摘要

使用能以高亲和力和特异性与肿瘤细胞上的受体结合的放射性标记肽,是现代分子成像和靶向放射性核素治疗中最具前景的领域之一(1)。在分子成像以及核医学诊断与治疗(尽管是诊疗一体化)出现的过程中,放射性标记肽已成为在分子和细胞水平上对体内生理和生化过程进行可视化及监测的重要工具(2)。这种方法可能会在个性化医疗时代让患者受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc72/6719887/9739d10d0da4/14mjms26042019_bcf1.jpg

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