Abstract

When small molecules or proteins are injected into live animals, their physical and chemical properties will significantly affect pharmacokinetics, tissue penetration, and the ultimate routes of metabolism and clearance. Fluorescence molecular tomography (FMT) offers the ability to non-invasively image and quantify temporal changes in fluorescence throughout the major organ systems of living animals, in a manner analogous to traditional approaches with radiolabeled agents. This approach is best used with biotherapeutics (therapeutic antibodies, or other large proteins) or large-scaffold drug-delivery vectors, that are minimally affected by low-level fluorophore conjugation. Application to small molecule drugs should take into account the significant impact of fluorophore labeling on size and physicochemical properties, however, the presents studies show that this technique is readily applied to small molecule agents developed for far-red (FR) or near infrared (NIR) imaging. Quantification by non-invasive FMT correlated well with both fluorescence from tissue homogenates as well as with planar (2D) fluorescence reflectance imaging of excised intact organs (r2 = 0.996 and 0.969, respectively). Dynamic FMT imaging (multiple times from 0 to 24 h) performed in live mice after the injection of four different FR/NIR-labeled agents, including immunoglobulin, 20–50 nm nanoparticles, a large vascular imaging agent, and a small molecule integrin antagonist, showed clear differences in the percentage of injected dose per gram of tissue (%ID/g) in liver, kidney, and bladder signal. Nanoparticles and IgG1 favored liver over kidney signal, the small molecule integrin-binding agent favored rapid kidney and bladder clearance, and the vascular agent, showed both liver and kidney clearance. Further assessment of the volume of distribution of these agents by fluorescent volume added information regarding their biodistribution and highlighted the relatively poor extravasation into tissue by IgG1. These studies demonstrate the ability of quantitative FMT imaging of FR/NIR agents to non-invasively visualize and quantify the biodistribution of different agents over time.

Highlights

  • Pharmacokinetic, biodistribution, and metabolic clearance characteristics are important properties that can influence the overall efficacy of novel therapeutics, imaging agents, and macromolecular delivery vectors [1,2,3,4,5]

  • In support of that early work, we present the Fluorescence molecular tomography (FMT) as a robust and sensitive instrument enabling detection, visualization, and quantification of fluorescence distributed throughout the body of living mice [12,13,14,15,16,17,18,19] in a manner analogous to PET imaging

  • With the recent advances in near infrared (NIR) tomographic imaging technology we have been able to demonstrate the capabilities of fluorescence molecular tomographic imaging to detect and quantify fluorescent biomarkers of disease in sites of cancer, inflammation, and infectious disease [16,17,26,27,28]

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Summary

Introduction

Pharmacokinetic, biodistribution, and metabolic clearance characteristics are important properties that can influence the overall efficacy of novel therapeutics, imaging agents, and macromolecular delivery vectors [1,2,3,4,5]. Preclinical biodistribution and pharmacokinetics data for investigational agents are routinely obtained in animal studies using radiolabeled materials [6]. Many of these studies employ post-mortem scintillation counting of the labeled radioactivity in excised organs and tissues [7,8]. PET and SPECT imaging can provide 3-dimensional spatial distribution datasets of radio-labeled imaging agents or therapeutics. Widespread use of PET or SPECT for biodistribution studies can be limited by cost, the restricted availability of the radionuclide-labeled agents, and the extra precautions and safety guidelines required for working with radioactivity. Upon simultaneous injection of two labeled agents, the relative biodistributions of two labeled agents could be directly and quantitatively compared

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