合成的 18F 标记生物分子具有选择性,有望用于 PET 成像:主要进展与应用

IF 4.1 4区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY RSC medicinal chemistry Pub Date : 2024-04-17 DOI:10.1039/D4MD00033A
Manisha Lamba, Prasoon Raj Singh, Anupam Bandyopadhyay and Avijit Goswami
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引用次数: 0

摘要

基于正电子发射断层扫描(PET)的成像概念是 40 多年前提出的。在临床上,它已被广泛应用于多种疾病的检测和分期,尤其是癌症、神经和心血管疾病。在此,我们回顾了正电子发射计算机断层显像技术的发展历程,以及它在临床应用中相对于其他成像模式的优势。这篇综述主要讨论了在合成 18F 放射性标记生物分子方面的最新进展,这些生物分子在有效 PET 方面的性能已得到广泛认可。讨论中特别强调了碳水化合物、脂类、氨基酸、寡核苷酸、肽和蛋白质分子的 18F 标记化学,近几十年来,这些物质在 PET 成像中的应用前景广阔。此外,我们还讨论了 18F 标记的生物大分子如何通过 PET 成像检测细胞水平的代谢变化和大体解剖定位的选择性成像。最后,综述讨论了 PET 成像在临床环境中控制疾病的未来前景。我们坚信,多学科合作研究将进一步拓宽 PET 方法在癌症和其他病理结果临床管理中的全面应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Synthetic 18F labeled biomolecules that are selective and promising for PET imaging: major advances and applications

The concept of positron emission tomography (PET) based imaging was developed more than 40 years ago. It has been a widely adopted technique for detecting and staging numerous diseases in clinical settings, particularly cancer, neuro- and cardio-diseases. Here, we reviewed the evolution of PET and its advantages over other imaging modalities in clinical settings. Primarily, this review discusses recent advances in the synthesis of 18F radiolabeled biomolecules in light of the widely accepted performance for effective PET. The discussion particularly emphasizes the 18F-labeling chemistry of carbohydrates, lipids, amino acids, oligonucleotides, peptides, and protein molecules, which have shown promise for PET imaging in recent decades. In addition, we have deliberated on how 18F-labeled biomolecules enable the detection of metabolic changes at the cellular level and the selective imaging of gross anatomical localization via PET imaging. In the end, the review discusses the future perspective of PET imaging to control disease in clinical settings. We firmly believe that collaborative multidisciplinary research will further widen the comprehensive applications of PET approaches in the clinical management of cancer and other pathological outcomes.

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来源期刊
CiteScore
5.80
自引率
2.40%
发文量
129
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