Literature DB >> 35094361

Macroscopic Fluorescence Lifetime Imaging for Monitoring of Drug-Target Engagement.

Marien Ochoa1, Alena Rudkouskaya2, Jason T Smith1, Xavier Intes1, Margarida Barroso3.   

Abstract

Precision medicine promises to improve therapeutic efficacy while reducing adverse effects, especially in oncology. However, despite great progresses in recent years, precision medicine for cancer treatment is not always part of routine care. Indeed, the ability to specifically tailor therapies to distinct patient profiles requires still significant improvements in targeted therapy development as well as decreases in drug treatment failures. In this regard, preclinical animal research is fundamental to advance our understanding of tumor biology, and diagnostic and therapeutic response. Most importantly, the ability to measure drug-target engagement accurately in live and intact animals is critical in guiding the development and optimization of targeted therapy. However, a major limitation of preclinical molecular imaging modalities is their lack of capability to directly and quantitatively discriminate between drug accumulation and drug-target engagement at the pathological site. Recently, we have developed Macroscopic Fluorescence Lifetime Imaging (MFLI) as a unique feature of optical imaging to quantitate in vivo drug-target engagement. MFLI quantitatively reports on nanoscale interactions via lifetime-sensing of Förster Resonance Energy Transfer (FRET) in live, intact animals. Hence, MFLI FRET acts as a direct reporter of receptor dimerization and target engagement via the measurement of the fraction of labeled-donor entity undergoing binding to its respective receptor. MFLI is expected to greatly impact preclinical imaging and also adjacent fields such as image-guided surgery and drug development.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Fluorescence lifetime imaging (FLI); Forster resonance energy transfer (FRET); Hyperspectral imaging; Near infrared; Receptor; Structured Light Imaging; Target engagement

Mesh:

Year:  2022        PMID: 35094361      PMCID: PMC8941982          DOI: 10.1007/978-1-0716-1811-0_44

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


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