1. Strategies for radiolabelling antibody, antibody fragments and affibodies with fluorine-18 as tracers for positron emission tomography (PET)
- Author
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David O'Hagan and Joshua Clark
- Subjects
biology ,medicine.diagnostic_test ,Molecular mass ,010405 organic chemistry ,Chemistry ,Organic Chemistry ,Nanotechnology ,Pet imaging ,010402 general chemistry ,01 natural sciences ,Biochemistry ,Small molecule ,Antibody fragments ,0104 chemical sciences ,Inorganic Chemistry ,Molecular level ,Positron emission tomography ,Labelling ,biology.protein ,medicine ,Environmental Chemistry ,Physical and Theoretical Chemistry ,Antibody - Abstract
The use of fluorine-18 as a radionuclide for positron emission tomography (PET) has become increasingly popular over the last two decades and cancer and neurology clinical centres worldwide are increasingly establishing competence in this modality for diagnostic imaging. Progress has been particularly impressive for small molecule pharmaceutical candidates and low molecular weight affinity peptides, where clearance rates of the peptides in the body are compatible with the half-life of fluorine-18 (t 1/2 = 110 min). However high molecular weight proteins present challenges as they circulate and clear much more slowly. This review focuses on the methods used to radiolabel antibodies and their derivatives with fluorine-18 as tracers for PET. The very high specificity of these biomolecules for disease indicators at the molecular level makes labelling them attractive, however antibodies can circulate for days within the blood, with slow clearance times due to their high molecular weights, and this is inconsistent with the relatively short half-life of fluorine-18. Thus, lower molecular weight fragments of antibodies present more realistic targets for labelling. This review describes the approaches and protocols which have been successfully used to radiolabel antibodies and particularly antibody fragments with fluorine-18, and highlights this challenging aspect of fluorine-18 labelling for PET imaging.
- Published
- 2017
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