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fulltextpubmed· Body· item Nat_Med_2013_Oct_8_19(10)_1345-1350.txt

INTRODUCTION Radioisotopes play a fundamental role in life sciences and clinical medicine, enabling unparalleled sensitivity in applications to study and identify disease. However, the physical phenomenon of radioactive decay cannot be switched between ‘on’ and ‘off’ states. Radiolabeled molecules are always detectable regardless of their biological interactions (Fig. 1a). This has so far excluded nuclear approaches from use as “activatable probes”; these are agents whose signal is released upon interaction with their biologic target. Clinical radiotracers such as [18F]-fluorodeoxyglucose ([18F]-FDG) and radiotracer genetic reporters1,2 indirectly report metabolic activity through accumulation and are plagued by high background signals. Activatable optical and magnetic resonance (MR) imaging have visualized enzyme activity implicated in inflammation, cancer aggressiveness and progression3–5. Ideally, molecular imaging accurately reports activity of an enzyme or other biological event at a disease site. Fluorescence or bioluminescent strategies are powerful, but are inherently non-quantitative with instrument-dependent results. Likewise, MR only reveals relative relaxivity changes dependent on an unknown probe concentration6. Similar caveats hold for newer approaches involving PET7.

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biological event at a disease site. Fluorescence or bioluminescent strategies are powerful, but are inherently non-quantitative with instrument-dependent results. Likewise, MR only reveals relative relaxivity changes dependent on an unknown probe concentration6. Similar caveats hold for newer approaches involving PET7. Cerenkov luminescence (CL) is light generated when charged particles (e.g. β− and β+ particles emitted upon radioactive decay) exceed the speed of light in a dielectric medium (Fig. 1b). First observed over a century ago8, visualization of CL was only recently achieved in vivo9. Advantages of CL include higher throughput, cost savings and greater surface resolution compared to nuclear imaging (Supplementary Fig. 1). Produced by many clinically approved tracers, it offers a facile route for translation of optical molecular imaging10,11. Here we describe a new imaging strategy that utilizes nanoparticles (NP) to achieve activatable imaging through biologically-specific fluorescent conversion of CL; secondary Cerenkov-induced fluorescence imaging (SCIFI; Fig. 1c). This is used in the form of an activatable imaging agent for the detection of clinically relevant enzymatic activity. We overcome issues of target specificity, background noise, tracer clearance and quantitation through unique combinations of PET and nanoparticle-CL imaging. We hypothesize that nuclide-based activatable imaging will enable specific imaging of disease signatures for the benefit of biomedical research and clinical diagnostic accuracy.

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ues of target specificity, background noise, tracer clearance and quantitation through unique combinations of PET and nanoparticle-CL imaging. We hypothesize that nuclide-based activatable imaging will enable specific imaging of disease signatures for the benefit of biomedical research and clinical diagnostic accuracy. RESULTS Fluorescence and Cerenkov-Induced Fluorescence CL conversion to a longer wavelength by a fluorophore was demonstrated in an in vitro phantom model. We mixed a CL source (gallium-68) with fluorescein (FAM) in a quartz vial and submerged it in a tissue scattering and absorbing medium to compare conventional fluorescence with SCIFI (Fig. 2a,b). Defining regions of interest over the source and background, it was found that the incident excitation light (required for conventional fluorescence) adversely affected the signal-to-background distinction (Fig. 2c). In contrast, internal excitation by the radionuclide for SCIFI significantly decreased the non-specific signal, resulting in greater signal-to-background values (Fig. 2d). These results persisted at increasing depth, where we had assumed that the lower photon flux of the Cerenkov source would diminish any advantage.

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). In contrast, internal excitation by the radionuclide for SCIFI significantly decreased the non-specific signal, resulting in greater signal-to-background values (Fig. 2d). These results persisted at increasing depth, where we had assumed that the lower photon flux of the Cerenkov source would diminish any advantage. Complicating conventional fluorescence imaging is skin autofluorescence and reflection from excitation light. Mimicking a tumor xenograft, [18F]-FDG was used in tandem with fluorescein and subcutaneously implanted. The exciting light for conventional fluorescence, which must first scatter and penetrate into the tissue to excite the fluorophore, increased background signal (Fig. 2e–g). Following quantitation, the signal-to-background values for SCIFI were 5.7–times greater than that of the conventional imaging (Fig. 2h). These results indicate that sensitive and low background acquisitions are advantages of SCIFI despite the low light intensity. Multispectral co-dependent imaging of tumor markers PET enables tomographic, whole-body and quantitative imaging, but can only evaluate a single tracer per study. We sought to achieve multiparameter readout of the molecular pathophysiology of disease by converting CL from PET tracers with spectrally distinct fluorophores in addition to acquiring PET data.

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tumor markers PET enables tomographic, whole-body and quantitative imaging, but can only evaluate a single tracer per study. We sought to achieve multiparameter readout of the molecular pathophysiology of disease by converting CL from PET tracers with spectrally distinct fluorophores in addition to acquiring PET data. The continuous CL spectrum is primarily blue; less than optimal for in vivo imaging. However, this spectrum can excite many widely used fluorophores. Therefore, we pursued CL-excited fluorescent NP (quantum dots; QD) emitting in the deeper tissue-penetrating near-infrared (Fig. 3a,b)12,13. We used [18F]-FDG to evaluate emissions from an array of fluorophores (Fig. 3c; an unmasked, equalized scale image is presented as Supplementary Fig. 2). The agents tested evaluate SCIFI across a broad range of spectral wavelengths (Supplementary Tables 1,2). Analysis indicated that the excitation profile of the fluorescein-based FITC and QDs are optimal for SCIFI, particularly QD605 (Fig. 3c). Cyanine dyes are less well suited due to excitation outside of the main CL emission14. The three QDs evaluated possess distinct fluorescent emission characteristics for SCIFI in vitro (Supplementary Fig. 3a) and in vivo, contained in matrigel pseudo-tumors (Supplementary Fig. 3b).

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r SCIFI, particularly QD605 (Fig. 3c). Cyanine dyes are less well suited due to excitation outside of the main CL emission14. The three QDs evaluated possess distinct fluorescent emission characteristics for SCIFI in vitro (Supplementary Fig. 3a) and in vivo, contained in matrigel pseudo-tumors (Supplementary Fig. 3b). SCIFI enables multispectral, deep tissue and potentially targeted imaging from the radiotracer source. We hypothesized that we could independently target a clinical radiotracer and QD to simultaneously demonstrate multiparameter imaging of tumor signatures with high tumor-to-background. [89Zr]-DFO-trastuzumab (undergoing clinical trial for metastatic breast cancer detection15) was administered to mice bearing Her2/neu-positive tumor xenografts (BT-474). Uptake of [89Zr]-DFO-trastuzumab (6 h p.i.) was followed by PET and CL. As expected, the targeted radiotracer revealed the presence of Her2/neu expression of the xenografts (Fig. 3d). We next injected QD605 targeting the αvβ3 integrin (cyclic-RGD QD605) or control QD605 (cyclic-RAD peptide). SCIFI signal was generated by excitation of the co-localized [89Zr]-DFO-trastuzumab and cyclic-RGD QD, but was absent in the nonspecific control (Fig. 3d). Selective co-dependent signal can be observed non-invasively over the experiment’s duration; showing injection, binding and clearance (Fig. 3e).

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yclic-RAD peptide). SCIFI signal was generated by excitation of the co-localized [89Zr]-DFO-trastuzumab and cyclic-RGD QD, but was absent in the nonspecific control (Fig. 3d). Selective co-dependent signal can be observed non-invasively over the experiment’s duration; showing injection, binding and clearance (Fig. 3e). No autofluorescence or reflection from external excitation results in minimal background, and greater than four times the signal from the targeted probe is seen at 2 h (Fig. 3f). SCIFI provides this information in addition to the quantitative radiotracer uptake data assessing Her2 expression (across both groups at 18 h p.i.; 11.56±1.08% ID g−1). Following demonstration of PET and SCIFI for determination of multiple disease relevant ligands concomitantly, we sought to distinguish in vivo activation of a SCIFI probe. In vivo imaging of MMP-2 enzymatic activity Gold nanoparticles (AuNP) were conjugated to FAM-labeled peptides as a biocompatible activatable platform to measure disease-relevant enzymes (Fig. 4a). The peptide sequence, Ile-Pro-Val-Ser-Leu-Arg-Ser-Gly (IPVSLRSG), is cleaved at the Ser-Leu bond16 by the gelatinase MMP-2 (implicated in cancer aggressiveness17–19). Coupling of the peptide to the AuNP surface, AuNP-IPVSLRSG-FAM, quenches FAM fluorescence20. MMP-2 cleavage releases FAM and its emission becomes detectable (Fig. 4b). We hypothesized that the [18F]-FDG CL-excited fluorescence (Fig. 4c) could be spectrally separated from CL to quantitate the activation of the probe and therefore read-out both glycolytic ([18F]-FDG) and enzymatic activity (MMP-2).

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uorescence20. MMP-2 cleavage releases FAM and its emission becomes detectable (Fig. 4b). We hypothesized that the [18F]-FDG CL-excited fluorescence (Fig. 4c) could be spectrally separated from CL to quantitate the activation of the probe and therefore read-out both glycolytic ([18F]-FDG) and enzymatic activity (MMP-2). Mice bearing MMP-2-overexpressing (SCC7) and low expressing (BT20) xenografts21 were co-injected with [18F]-FDG and AuNP-IPVSLRSG-FAM. [18F]-FDG had slightly preferential but non-significant (p > 0.2) uptake in the faster-growing SCC7 tumors by PET (Fig. 4d). Optical imaging (open, no filter) recapitulated the negligible difference (p > 0.1) between tumor types (Fig. 4e). However, SCIFI imaging using a bandpass filter for FAM revealed statistically significant activated signal (p < 0.001), solely in SCC7 tumors (Fig. 4f). We performed X-ray computed tomography and dark-field microscopy to remove the possibility that the difference was due to differential probe distribution (Supplementary Information and Supplementary Fig. 4). Successful SCIFI by MMP-2 cleavage provides molecularly specific information atop the indiscriminate [18F]-FDG uptake via PET.

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-ray computed tomography and dark-field microscopy to remove the possibility that the difference was due to differential probe distribution (Supplementary Information and Supplementary Fig. 4). Successful SCIFI by MMP-2 cleavage provides molecularly specific information atop the indiscriminate [18F]-FDG uptake via PET. Next, we quantitated activation of the NP probe, an obvious advance over merely detecting activation. PET accurately reveals the actual radiotracer concentration. This can be used with the integrated Frank-Tamm equation to calculate the amount of CL produced in a defined spectral window in tissue22. We first separated the filtered signal (510–575 nm) from its two components: the activated SCIFI probe (FAM) and the remaining CL contribution (Fig. 4g; additional information in Supplementary Fig. 5 and Methods). We determined the number of activated probes using a calibration curve of CL-excited FAM. In the enzyme-expressing tumor, this yields an average of 6.23 pmol of activated probe, whereas activation in the control tumor was 1.56 pmol (p < 0.001) (Fig. 4h). We also analyzed the expression and gelatinolytic activity of MMP-2 from cell culture supernatant and excised tumors. Expression of activated-MMP-2 was greater on a per total-protein basis in the culture supernatant (SCC7: 31.8 ng, BT20: 5.83 ng) than in the lysed tumors (SCC7: 1.16 ng, BT20: 0.187 ng; Fig. 4i). Zymography of representative tumor lysates revealed an enzyme activity of 1.49 and 2.21 ng (Fig. 4j). Relative differences between quantative western blot data as well as the enzyme activity correlate well with in vivo SCIFI assessment of protease activation.

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n the lysed tumors (SCC7: 1.16 ng, BT20: 0.187 ng; Fig. 4i). Zymography of representative tumor lysates revealed an enzyme activity of 1.49 and 2.21 ng (Fig. 4j). Relative differences between quantative western blot data as well as the enzyme activity correlate well with in vivo SCIFI assessment of protease activation. DISCUSSION These results establish that targeted and activatable fluorescent probes can transfer and spectrally shift the optical radionuclide decay signal of Cerenkov radiation from clinical radionuclides. SCIFI distinguishes with high-specificity, low background and high-resolution (superficially) the presence of multiple molecular signatures of disease. This inherently dual–modality approach first uses systemically administered agents to achieve whole-body quantitative radionuclide distribution by PET. Multiple molecular features of the tumor environment are then captured using fluorescent NP sensors excited by the radiotracer. This approach has the potential to create a new application space for nuclear molecular imaging.

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ically administered agents to achieve whole-body quantitative radionuclide distribution by PET. Multiple molecular features of the tumor environment are then captured using fluorescent NP sensors excited by the radiotracer. This approach has the potential to create a new application space for nuclear molecular imaging. Quantitative PET signal indicates increased glycolytic activity (e.g. in malignancies), and this remains unaltered by the optical probes. SCIFI reveals biomolecularly specific information regarding tumor biology such as marker expression (eg. αvβ3). This work motivates a first approach for using radiotracers as platforms for activatable agents as we show quantitative readout of probe activation by an enzyme (eg. MMP-2). This yields complementary information otherwise unobtainable with PET alone, which cannot distinguish signal from multiple tracers or between activated and non-activated agent. Multispectral SCIFI was illustrated through the simultaneous excitation of multiple fluorophores in vitro (Fig. 2b) and of three reporters with a single administration of [18F]-FDG in vivo (Supplemental Fig. 3).

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T alone, which cannot distinguish signal from multiple tracers or between activated and non-activated agent. Multispectral SCIFI was illustrated through the simultaneous excitation of multiple fluorophores in vitro (Fig. 2b) and of three reporters with a single administration of [18F]-FDG in vivo (Supplemental Fig. 3). Using this approach, SCIFI visualized both Her2/neu and αvβ3 to simultaneously readout multiple disease-relevant markers. This required no external excitation of agent; antibody and QD were detected as a result of co-dependent CL and secondary-Cerenkov emission, respectively. SCIFI is dependent on the distribution of the targeted radioactive and optical probes, requiring biospecific homing (via trastuzumab and RGD peptide, respectively). Unlike other activatable approaches, such as bioluminescence resonance energy transfer23,24, the systems described herein do not require administration of immunogenic proteins (e.g. luciferase and green fluorescent protein) or foreign enzyme substrate (e.g. luciferin or coelenterazine). SCIFI avoids reflection and autofluorescence artifacts from external excitation and achieves minimal background signal by utilizing internal illumination through CL.

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ire administration of immunogenic proteins (e.g. luciferase and green fluorescent protein) or foreign enzyme substrate (e.g. luciferin or coelenterazine). SCIFI avoids reflection and autofluorescence artifacts from external excitation and achieves minimal background signal by utilizing internal illumination through CL. Successful application of SCIFI did not require toxic QD, and was accomplished with inert AuNP and approved dye. Activated AuNP fluorescent conversion of CL from tumor non-specific [18F]-FDG resolved specific enzymatic expression of distinct tumors. Significantly, tumors or sites of inflammation are often identified solely through increased glycolysis and accumulation of [18F]-FDG, oblivious to other important molecular markers25. Non-invasive distinction of tumor-to-tumor molecular heterogeneity, quantitatively, is a critical step towards personalization of diagnosis and patient management.

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es of inflammation are often identified solely through increased glycolysis and accumulation of [18F]-FDG, oblivious to other important molecular markers25. Non-invasive distinction of tumor-to-tumor molecular heterogeneity, quantitatively, is a critical step towards personalization of diagnosis and patient management. CL intensity is dependent on the energy of the emitted charged particle and properties of the surrounding medium26. The low amount of light (relative to fluorescence) can be detected by high-sensitivity cameras9, but translation to the clinic presents technical challenges including strict restriction of ambient light and tissue depth-dependent signal attenuation. Greater CL producing radionuclides (such as 68Ga and 89Zr) can be used to overcome some signal level concerns. Application specific instrumentation (e.g. adapted endoscopy) can also be expected to reduce the difficulty of translation27,28. Whole-body optical imaging is likely not feasible, however hybrid SCIFI-PET overcomes some depth and imaging issues over conventional fluorescence. Offering an impact beyond small-animal imaging, clinically approved tracer and fluorophore combinations lessen regulatory issues associated with clinically-untested compounds. This is an issue that has hindered translation of conventional fluorescence agents. With the requirement of sensitive camera equipment, SCIFI could be translated to the clinic in diagnostic and intraoperative settings with minor deviation from current protocols.

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ory issues associated with clinically-untested compounds. This is an issue that has hindered translation of conventional fluorescence agents. With the requirement of sensitive camera equipment, SCIFI could be translated to the clinic in diagnostic and intraoperative settings with minor deviation from current protocols. The systems used here enable target specific and activatable investigation of multiple biological signatures in vivo, through the fluorescent conversion of a radioactive decay signal. Clinical radiotracers in concert with diagnostic and therapeutic NP sensors targeted to the ever-expanding library of disease markers lend this novel methodology to an array of basic and potentially clinical applications. The synergistic advantages of PET in addition to Cerenkov-optical imaging provide strong impetus for further investigation. ONLINE METHODS Chemicals All materials were purchased from Thermo Fisher Scientific (Waltham, MA), unless otherwise noted. Quantum dots (QD565, QD605 and QD800; amino-PEG-ITK) were purchased from Invitrogen. Cy5.5-NHS and Cy7-NHS were purchased from GE Healthcare. All peptides were obtained from Anaspec Incorporated. QD conjugates and AuNP and were synthesized as described below.

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rmo Fisher Scientific (Waltham, MA), unless otherwise noted. Quantum dots (QD565, QD605 and QD800; amino-PEG-ITK) were purchased from Invitrogen. Cy5.5-NHS and Cy7-NHS were purchased from GE Healthcare. All peptides were obtained from Anaspec Incorporated. QD conjugates and AuNP and were synthesized as described below. Radionuclides and Tracers [18F]-fluorodeoxyglucose ([18F]-FDG) was supplied by IBA Molecular with a specific activity of >41 MBq/µmol (>11 mCi/µmol) and a radiochemical purity of >98%. The tracer was obtained through the Radiopharmacy of the Department of Nuclear Medicine at Memorial Sloan-Kettering Cancer Center (MSKCC). 0.1 N HCl 68Ga elute was obtained from a 68Ge/68Ga generator. [89Zr] was obtained from the Radiochemistry Core Facility. It is produced in high radiochemical and radionuclidic purity via the 89Y(p,n)89Zr transmutation reaction on an Ebco TR19/9 variable beam-energy cyclotron (Ebco Industries Incorporated)29. [89Zr] was purified and used to label the monoclonal antibody trastuzumab (Genentech) as previously described30.

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try Core Facility. It is produced in high radiochemical and radionuclidic purity via the 89Y(p,n)89Zr transmutation reaction on an Ebco TR19/9 variable beam-energy cyclotron (Ebco Industries Incorporated)29. [89Zr] was purified and used to label the monoclonal antibody trastuzumab (Genentech) as previously described30. Nanoparticle Probes Quantum Dot Probes QD605 was used as the basis to construct targeted and activatable fluorescent nanoparticle probes. This is a near infrared agent that adequately matches the 600 +/−10 nm bandpass filter on the IVIS 200 system. For targeted in vivo imaging, αvβ3 integrin targeting particles were linked to Cyclo-(RGDyK), while control particles were coupled to Cyclo-(RADfK)31. QD605 was coupled to peptides following activation with disuccinimidyl suberate (DSS) in pH 8.5 Na2CO3 buffer. After 1 h incubation, the particles were purified with a YM-50 filter (Millipore) and functionalized with the peptide. Gold Nanoparticle Probes Citrated-capped gold nanoparticles (AuNP) were synthesized by dissolving 50 mg of hydrogen tetrachloroaurate trihydrate in 150 mL of dH2O. Sodium citrate (15 mL, 40 mM) was added to a boiling solution of the chlorauric acid. Unreacted components were removed by centrifugal purification prior to conjugation. The peptide, Cys-(PEG)2-IPVSLRSG-(PEG)2-Lys(5-FAM)-Gly-Lys(DOTA), was added in 100x molar excess to the particles, mixed overnight at 15 °C, and then purified through repeated washes in saline on a YM-50 filter. Peptide labeled particles were fully soluble in physiological buffers at pH 7.4.

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ation prior to conjugation. The peptide, Cys-(PEG)2-IPVSLRSG-(PEG)2-Lys(5-FAM)-Gly-Lys(DOTA), was added in 100x molar excess to the particles, mixed overnight at 15 °C, and then purified through repeated washes in saline on a YM-50 filter. Peptide labeled particles were fully soluble in physiological buffers at pH 7.4. Spectrophotometry All probes and radionuclides were characterized for absorbance and luminescent properties using a SpectraMax M5 (Molecular Devices). All samples were read using a quartz cuvette (volumes between 250 and 1000 µL). All QD fluorescent profiles were obtained with excitation at the 488 nm laser line. Cerenkov excited fluorescent profiles of the QD were obtained by comixing the particles with 68Ga (270 µCi; 10 MBq) and capturing the luminescence spectra. Animal Experiments All animal experiments were conducted in compliance with Institutional Animal Care and Use Committee guidelines and the Guide for the Care and Use of Laboratory Animals32. All animal procedures were performed under anesthesia by inhalation of a 1–4% isoflurane-air mixture (Baxter Healthcare). Animals were obtained from Harlan Laboratories. Athymic Nu/Nu mice between the ages of 10–16 weeks were used for all experiments. Female mice were used for the [89Zr]-DFO-trastuzumab studies (approximately 260 µCi per mouse; 9.62 MBq) and male mice were used in all other experiments.

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ne-air mixture (Baxter Healthcare). Animals were obtained from Harlan Laboratories. Athymic Nu/Nu mice between the ages of 10–16 weeks were used for all experiments. Female mice were used for the [89Zr]-DFO-trastuzumab studies (approximately 260 µCi per mouse; 9.62 MBq) and male mice were used in all other experiments. Cerenkov Luminescence (CL) Imaging CL images were obtained using the IVIS 200 run under Living Image 4.2 (Caliper Life Sciences). This system utilizes a cryo-cooled EMCCD for high sensitivity detection of low light sources. Filters provided with the device determined to some degree the fluorophores and QD tested. All images were quantitated in the Living Image software (version 2.6). For the determination of the signal to background ratio of Cerenkov in a tissue mimic phantom, 150 µCi or 5.55 MBq of [68Ga] activity was placed in a glass vial filled with glycerin. For evaluation of dye and QD particles activation properties, 14.8 MBq (400 µCi) of [18F]-FDG (200 µL in an Eppendorf tube) was used. The source was surrounded by 100 µL volume solutions of water, FITC, Cy dyes (at 1 mM) and QD (4 µM) samples. The subcutaneously implanted [18F]-FDG (55 µCi; 2.04 MBq) was placed in a capillary tube, with or without comixture with fluorescein. For in vivo excitation of multiple quantum dots simultaneously, a dose of [18F]-FDG (660 µCi, 24.42 MBq) was administered to the animal immediately before imaging.

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and QD (4 µM) samples. The subcutaneously implanted [18F]-FDG (55 µCi; 2.04 MBq) was placed in a capillary tube, with or without comixture with fluorescein. For in vivo excitation of multiple quantum dots simultaneously, a dose of [18F]-FDG (660 µCi, 24.42 MBq) was administered to the animal immediately before imaging. Phantom Imaging for SCIFI and Fluorescence Comparison In vitro phantom A vial (0.7 mm inner diameter×2.5 cm in length) was filled with a mixture of glycerine (refractive index of 1.47), radionuclide (freshly eluted gallium-68 balanced to pH 7.4 with sodium carbonate) and fluorophore (FAM). The final concentration of fluorophore was 0.5 mM and the starting activity of the 68Ga was 150 µCi (5.55 MBq). The vial was placed in a black container, in a tissue scattering and absorbing phantom composed of Intralipid (Fresenius Kabi) and India ink (Fisher Scientific)33. Imaging was performed on the IVIS 200 (Calipers), using the GFP excitation (for fluorescence) and emission filters, and all results were decay corrected to the initial acquisition. Increasing volume of the scattering and absorbing media were added, and the depth calculated from the dimensions of the container. Images were acquired for 30 seconds. Regions of interest were drawn around the vial when it was exposed (prior to be submerged) along with multiple regions of interest at the corners of the container. Background subtracted signal-to-background measurements were made off of these regions, using average radiance (ph s−1 cm−2 sr−1).

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acquired for 30 seconds. Regions of interest were drawn around the vial when it was exposed (prior to be submerged) along with multiple regions of interest at the corners of the container. Background subtracted signal-to-background measurements were made off of these regions, using average radiance (ph s−1 cm−2 sr−1). In vivo phantom A capillary tube was filled with saline, FAM (0.5 mM) and [18F]-FDG (115 µCi, 4.26 MBq). This was then subcutaneously implanted into a euthenized mouse. Images were acquired for 60 seconds. The experiment was performed in triplicate. Fluorescence Imaging and SCIFI For in vivo multispectral conventional fluorescence imaging, the Maestro was used. Multispectral SCIFI was done with acquisitions on the IVIS 200 in the 560 and 600 nm bandpass and ICG filters. Luminescent images without Cosmic Ray correction were imported into ImageJ and outliers were then removed. The filter specific images were false colored and then overlaid on a white light image of the animal. Individual channel acquisitions can be found in Supplementary Fig. 5b. Activatable SCIFI imaging to detect MMP-2 enzyme activity was performed with the GFP filter using the IVIS 200. The luminescent images were exported and processed in ImageJ, as above.

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e colored and then overlaid on a white light image of the animal. Individual channel acquisitions can be found in Supplementary Fig. 5b. Activatable SCIFI imaging to detect MMP-2 enzyme activity was performed with the GFP filter using the IVIS 200. The luminescent images were exported and processed in ImageJ, as above. PET Mice were imaged in a prone position using either an R4 or Focus 120 microPET™ dedicated small-animal PET scanner (Concorde Microsystems Inc.), with an energy window of 350–700 keV and coincidence timing window of 6 ns. For [18F]-FDG studies, images were acquired at 60 minutes post-administration over a period of 15 minutes. Times of acquisition for [89Zr] studies were also 15 minutes in length, at the post-injection times noted. The list-mode data were sorted into 2D histograms by Fourier re-binning and images reconstructed by filtered back-projection using a ramp filter with a cut-off frequency equal to the Nyquist frequency in either a 128×128×64 matrix (R4) or a 128×128×94 matrix (Focus 120). Normalized image data (ie. corrected for non-uniformity of scanner response) was corrected for dead time count losses and physical decay to the time of injection.

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projection using a ramp filter with a cut-off frequency equal to the Nyquist frequency in either a 128×128×64 matrix (R4) or a 128×128×94 matrix (Focus 120). Normalized image data (ie. corrected for non-uniformity of scanner response) was corrected for dead time count losses and physical decay to the time of injection. Count rates in the reconstructed images were converted to activity concentration and subsequently percent of injected dose per gram of tissue (percentage injected dose g−1) using a system calibration factor (µCi mL−1 cps−1 voxel−1) derived from imaging a mouse-size phantom filled with a uniform aqueous solution of [18F]-FDG. The reconstructed images were visually examined and analyzed using ASIProVM (Concorde Microsystems Inc.) with window and level settings adjusted for maximal tumor visibility. ROI were manually drawn to circumscribe tumors. The mean percentage injected dose g−1 within the structure was computed from the volume of interest. For [18F]-FDG acquisitions, animals were deprived of food for between 4 and 6 h prior to imaging.

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c.) with window and level settings adjusted for maximal tumor visibility. ROI were manually drawn to circumscribe tumors. The mean percentage injected dose g−1 within the structure was computed from the volume of interest. For [18F]-FDG acquisitions, animals were deprived of food for between 4 and 6 h prior to imaging. Quantification Model Quantitation of the dye molecules activated was achieved through observed measurements and modeling. We determine the number of Cerenkov photons generated from the radioactivity accumulated in a tumor by integrating the Frank-Tamm equation (1) for the β-particle energy distribution of 18F over the Cerenkov threshold between the relevant wavelengths34. This is the emission regions (510–570 nm) of the FAM or GFP filter. (1) dNdx=2απ(1λ2−1λ1)(1−1(βn)2) Here β is the velocity of the particle relative to the speed of light, n is the refractive index, dN/dx is the number of photons produced per cm path length and α is fine-structure constant. From the PET quantitation of activity, we can determine the number of photons produced in the 510–570 nm range. At a tissue refractive index estimated from the literature of 1.4, and the activity as measured from PET, this gives a value of 0.4206 photons/Bq. This was then adjusted for attenuation using an experimentally determined factor, derived from observed photon flux in the tumors with [18F]-FDG 72 h prior to the activation experiments. Subtracting this value from the observed tumor photon flux yields the contribution from the active fluorescent probe alone. Utilizing an experimentally determined standard curve of the active probe (AuNP and FAM) in saline (n=1.33) and [18F]-FDG, we can determine the number of activated FAM molecules from the observed SCIFI channel.

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is value from the observed tumor photon flux yields the contribution from the active fluorescent probe alone. Utilizing an experimentally determined standard curve of the active probe (AuNP and FAM) in saline (n=1.33) and [18F]-FDG, we can determine the number of activated FAM molecules from the observed SCIFI channel. X-Ray Computed Tomography (CT) Imaging Imaging for detection of gold nanoparticle uptake was performed using a microCAT II (ImTek Inc.) scanner operating at 60 kVp and 0.8 mA with 2 mm aluminum filtration. Animals injected with the AuNP and without were scanned. All animals bore dual-shoulder xenografts of BT20 (MMP2–) and SCC7 (MMP2+) tumors. Images were acquired with a 93 µm isotropic resolution. A global ROI was drawn around the animal and zero-filled to exclude edge and bed signal. Data for 5 sequential slices through each tumor were evaluated for intensity in each tumor, paraspinal muscle and air (analyzed in ImageJ). A reconstruction using the ImageJ 3D volume viewer plugin was used to create the three-dimensional slab view.

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rawn around the animal and zero-filled to exclude edge and bed signal. Data for 5 sequential slices through each tumor were evaluated for intensity in each tumor, paraspinal muscle and air (analyzed in ImageJ). A reconstruction using the ImageJ 3D volume viewer plugin was used to create the three-dimensional slab view. Quantitative Western Blotting Cell supernatants were obtained using serum free media from BT-20 and SCC7 cultures and concentrated using Amicon Ultra centrifugal filters (5, 000 MWCO). BT-20 and SCC7 tumors were lyzed using 50 mM Tris pH 7.5, 150 mM NaCl and manually homogenized. Concentrated cell supernatants, tumor lysates and MMP-2 recombinant protein (Enzo Life Sciences) were activated by 1 mM 4-aminophenylmercuric acetate for 16 h at 37° C35. Cell supernatant (50 µg) and tumor lysate (30 µg) concentration were determined by the BCA assay. Samples were separated on NuPAGE 4–12 % Bis-Tris gels and electrophoretically transferred to nitrocellulose alongside MMP-2 standards (4 ng−1; #BML-SE503). For MMP-2, membranes were incubated with anti-MMP-2 (Abcam; #ab37150; 1:1000) followed by donkey anti-rabbit 680RD (Licor; #926–68073; 1:1000), while the loading control was stained with anti-beta-actin (Sigma; #A1978; 1:1000) followed by goat anti-mouse (Licor; #926–68070; 1:5000). Blocking was performed in Odyssey Blocking Buffer (Licor) and the membranes were then imaged and analyzed using the Odyssey Infrared Imaging System (Licor) and ImageJ.

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73; 1:1000), while the loading control was stained with anti-beta-actin (Sigma; #A1978; 1:1000) followed by goat anti-mouse (Licor; #926–68070; 1:5000). Blocking was performed in Odyssey Blocking Buffer (Licor) and the membranes were then imaged and analyzed using the Odyssey Infrared Imaging System (Licor) and ImageJ. Quantitative Zymography Unconcentrated cell supernatants and tumor lysates were prepared as above and gel loadings were determined by BCA assay (5 µg and 15 µg for cell supernatants and tumor lysates respectively). Samples were then loaded onto 10% Zymogram (gelatin) Gels (Life Technologies) alongside MMP-2 standards (250 pg - 20 ng) and run at 110V at 4 °C for 3.5 h. Gels were incubated in renaturing buffer (2.5% Triton-X 100) for 30 min at room temperature and transferred to developing buffer (50 mM Tris pH 8, 5 mM CaCl2, 200 mM NaCl, 0.02% Brij) at 37 °C for 16–20 h. Following this treatment, gels were stained in Coomassie for 2–3 h and then destained to resolve digested (white) bands. Zymographies were finally imaged and analyzed using the ImageStation 4000R Pro (Carestream) and ImageJ.

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developing buffer (50 mM Tris pH 8, 5 mM CaCl2, 200 mM NaCl, 0.02% Brij) at 37 °C for 16–20 h. Following this treatment, gels were stained in Coomassie for 2–3 h and then destained to resolve digested (white) bands. Zymographies were finally imaged and analyzed using the ImageStation 4000R Pro (Carestream) and ImageJ. Dark Field Microscopy Approximately 1 h after probe was injected and imaged, animals were sacrificed and tumors removed. The tissue was embedded in OCT and sectioned at 10 µm thickness. Tissue was either dehydrated and image using dark-field, or stained for heamotoxylin and eosin using conventional microscopy. For dark field-imaging, a DarkLight slide illuminator mounted onto the slide stage of a Nikon Eclipse was used. H&E imaging was performed on a NikonTi inverted microscope. A 10x objective was used and images were captured on a SPOT RT camera (Diagnostic Instruments, Inc). For analysis, the number of particles or particle clusters were counted in ImageJ averaged over 10 fields.

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ed onto the slide stage of a Nikon Eclipse was used. H&E imaging was performed on a NikonTi inverted microscope. A 10x objective was used and images were captured on a SPOT RT camera (Diagnostic Instruments, Inc). For analysis, the number of particles or particle clusters were counted in ImageJ averaged over 10 fields. Phantom Imaging for PET and Cerenkov Resolution A miniature Jaczeck phantom was filled with a mixture of activity (gallium-68; 255 µCi, 9.43 MBq) dissolved in 15:1 saline:ethanol. The diameter of the rods in the phantom are 1.0 to 1.5 mm in 0.1 mm increments, arranged in 6 sextants. The core is a 2 mm central pillar. Imaging of the phantom on the small-animal imaging PET (R4, Concorde Microsystems) was completed following acquisition of 22×106 events. The image set was reconstructed without attenuation correction using the maximum a priori algorithm which incorporates knowledge about the scanner’s system matrix. A profile through the phantom was drawn and the intensity values plotted (ASI Pro VM Software, Concode Microsystems).

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ollowing acquisition of 22×106 events. The image set was reconstructed without attenuation correction using the maximum a priori algorithm which incorporates knowledge about the scanner’s system matrix. A profile through the phantom was drawn and the intensity values plotted (ASI Pro VM Software, Concode Microsystems). White light photography and Cerenkov luminescence images were acquired using the XR-Mega10Z camera with Schneider f0.95 lens in a custom designed light tight box (Stanford Photonics). The XR-Mega10Z is a dual microchannel plate gain stage (GaAsP) intensified camera (Sony XX285 sensor). Triplicate acquisitions were acquired and analyzed using the Piper software suite (Stanford Photonics). The decision to utilize the XR-Mega10Z was motivated in part to use alternative hardware to the IVIS systems (which have, to date, been the only hardware used to image Cerenkov radiation in small animals). An optically transparent vessel of known dimensions was placed above the resolution phantom. Increasing volume of scattering and absorbing tissue mimic liquid was added to simulate increasing tissue depth. Decay corrected intensity profiles, oriented identical to the PET acquisition, were drawn for each acquisition.

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). An optically transparent vessel of known dimensions was placed above the resolution phantom. Increasing volume of scattering and absorbing tissue mimic liquid was added to simulate increasing tissue depth. Decay corrected intensity profiles, oriented identical to the PET acquisition, were drawn for each acquisition. Background Radiation Detection In order to evaluate the role of high-energy photons emitted from Cerenkov sources, we analyzed signals from a well filled with activity in an opaque black 24-well microplate (Grenier), with and without coverage by an opaque covering, and with and without so-called Cosmic ray correction (CRC). Cosmic ray correction is performed to remove signal from extraterrestrial high-energy particles that register on sensitive optical imaging equipment. These interactions with a CCD (IVIS 200) or intensifier screen (XR-Mega10Z) are detected as hot pixels with large signals. As described by the instruction manual for the IVIS 200, the Living Image software searches for isolated, high amplitude hot pixels and replaces them with collective average of surrounding pixels. Plates were filled with [18F]-FDG at 99.28, 12.59 and 1.10 MBq and diluted to 650 µL of total volume using deionized water. The plates were imaged at the maximum field of view of the system for 1 minute. Subsequently, the samples were covered with 10 sheets of black paper (Stratmore Artagain 400 Series Coal Black Drawing Paper). Signal from the well, background with and without covering were analyzed following decay correction of the signals.

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e plates were imaged at the maximum field of view of the system for 1 minute. Subsequently, the samples were covered with 10 sheets of black paper (Stratmore Artagain 400 Series Coal Black Drawing Paper). Signal from the well, background with and without covering were analyzed following decay correction of the signals. As the IVIS imaging system performs automated background and CRC, we further investigated manual hot pixel removal. To this end, luminescent images of PC3 tumor bearing mice imaged 70 min after 7.12±0.07 MBq retro-orbital administration of [18F]-FDG were imported into ImageJ. Two hot pixel filtering functions were used. In the first, a selective median filter that replaced the value of a pixel if it deviated from the median (in a 2 pixel radius) by greater than a given threshold (75 arbitrary units) by that median value. The second technique was to apply a median filter that replaced each pixel with the median value of the pixels surrounding it in a 3x3 neighborhood. No background luminescent or read bias correction was applied to these images, and thus the units remain uncorrected arbitrary units. Additionally, in the case of the high frame rate XR-Mega10Z (120 fps), real-time removal of Cosmic ray event containing frames can be performed. This technique was effectively used to remove any high-energy photons emitted from a Cerenkov source that struck the detector for the purposes of testing the resolution phantom.

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Additionally, in the case of the high frame rate XR-Mega10Z (120 fps), real-time removal of Cosmic ray event containing frames can be performed. This technique was effectively used to remove any high-energy photons emitted from a Cerenkov source that struck the detector for the purposes of testing the resolution phantom. Statistical Analysis Statistical comparisons were made using the Mann-Whitney-Wilcoxon rank sum test. All experiments were performed in triplicate unless otherwise indicated. Supplementary Material 1 ACKNOWLEDGEMENTS We would like to thank the staff of the Radiopharmacy at MSKCC. Scientific input was provided by M. McDevitt, N. Pillarsetty, P. Zanzonico, J. Holland and J. Lewis of MSKCC (who also generously provided trastuzumab). D.L.J.T. and this work were supported by US National Institutes of Health (NIH) through the R25T Molecular Imaging Fellowship: Molecular Imaging Training in Oncology (5R25CA096945-07; Prinicpal investigator H. Hricack). J.G. was supported by US Department of Defense (PC111667), Starr Cancer Consortium (I4-A427), NIH (1R01EB014944–01) and the Louis V. Gerstner Young Investigator Award. Technical services provided by the Facility were supported in part by grants from NIH; R24 CA083084 and P30 CA008748. Additional Acknowledgements: We would like to thank Drs. L. Cosgrave at MSKCC and Dr. Sela of the Sagi Laboratory at the Weizmann Institute of Science for their help. AUTHOR CONTRIBUTIONS:

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Supplementary Material 1 ACKNOWLEDGEMENTS We would like to thank the staff of the Radiopharmacy at MSKCC. Scientific input was provided by M. McDevitt, N. Pillarsetty, P. Zanzonico, J. Holland and J. Lewis of MSKCC (who also generously provided trastuzumab). D.L.J.T. and this work were supported by US National Institutes of Health (NIH) through the R25T Molecular Imaging Fellowship: Molecular Imaging Training in Oncology (5R25CA096945-07; Prinicpal investigator H. Hricack). J.G. was supported by US Department of Defense (PC111667), Starr Cancer Consortium (I4-A427), NIH (1R01EB014944–01) and the Louis V. Gerstner Young Investigator Award. Technical services provided by the Facility were supported in part by grants from NIH; R24 CA083084 and P30 CA008748. Additional Acknowledgements: We would like to thank Drs. L. Cosgrave at MSKCC and Dr. Sela of the Sagi Laboratory at the Weizmann Institute of Science for their help. AUTHOR CONTRIBUTIONS: D.L.J.T. initiated the project, designed and performed experiments, analyzed the data and wrote the manuscript. B.J.B. assisted in quantitative modeling and A.O. assisted with ex vivo experiments. J.G. as the principal investigator contributed to the experimental design, manuscript preparation and initiated the project. All authors edited the manuscript.

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gned and performed experiments, analyzed the data and wrote the manuscript. B.J.B. assisted in quantitative modeling and A.O. assisted with ex vivo experiments. J.G. as the principal investigator contributed to the experimental design, manuscript preparation and initiated the project. All authors edited the manuscript. Figure 1 Conventional PET and Cerenkov Luminescence PET tracer principle and the development of agents that fluorescently-convert the Cerenkov radiation optical decay signal. (a) Positron emission tomography (PET) enables high-sensitivity and quantitative imaging of whole-body tracer distribution. Unfortunately, radioactive probes are detectable regardless of their biological interactions; possibilities of which include binding, degradation or no change to the probe. This results in high background signal that is indistinguishable from accumulated probe. (b) Cerenkov luminescence (CL) is a result of charged particles moving through a dielectric medium faster than the speed of light in that medium. The high-energy particles polarize water molecules along their path. When these polarized molecules relax, they release a continuous wavelength luminescence centered in the blue. (c) This phenomenon can be harnessed to provide functional information regarding a radiotracer’s in vivo fate. We can augment the depth of penetration of the blue-weighted light by using CR to excite fluorophores. Secondary Cerenkov-induced fluorescence imaging (SCIFI) can also be used in conjunction with activatable probes. This approach affords quantitative PET radiotracer information in addition to fluorescent reports of disease specific ligands and activities.

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on of the blue-weighted light by using CR to excite fluorophores. Secondary Cerenkov-induced fluorescence imaging (SCIFI) can also be used in conjunction with activatable probes. This approach affords quantitative PET radiotracer information in addition to fluorescent reports of disease specific ligands and activities. Figure 2 Fluorescence and Secondary Cerenkov-Induced Fluorescence Comparison of the external excitation or CL-excitation of fluorophore. (a) Quantification of background subtracted signal-to-background (SB) measurements of an in vitro phantom of fluorescein and gallium-68 (140 µCi; 5.18 MBq) in a tissue scattering and absorbing mimic at increasing depth. Schematic shown at insert. (b) White light photograph of uncovered source in phantom. Representative figures of the filtered (500–520 nm) light emitted following (c) external laser, or (d) secondary Cerenkov-induced fluorescence. Note that the images display equal dynamic ranges. (e) The same principle applies using an in vivo subcutaneous capillary tube implantation model. The removal of the reflected and background nonspecific excitation of endogenous fluorophores significantly reduces background. Representative acquisition of (f) externally laser-excited fluorophore and (g) [18F]-FDG excited fluorescein. (h) The mean SB values of SCIFI (154.1±7) are approximately six–fold greater than that of conventional fluorescence (26.7±3.2).

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onspecific excitation of endogenous fluorophores significantly reduces background. Representative acquisition of (f) externally laser-excited fluorophore and (g) [18F]-FDG excited fluorescein. (h) The mean SB values of SCIFI (154.1±7) are approximately six–fold greater than that of conventional fluorescence (26.7±3.2). Figure 3 Secondary Cerenkov-Induced Fluorescence of Optical Probes Multispectral and tandem Cerenkov-induced fluorescence emission for disease biomarker readout. (a) The absorbance and fluorescence profiles of QD605 (emission at 605 nm) are shown (upper panel) and the activation of the QD605 by [18F]-FDG (27.75 MBq) through SCIFI (lower panel). The absorbance of some of the Cerenkov radiation is indicated by the difference between luminescence spectra prior to and after addition of QD (δ). (b) Filtered SCIFI for a panel of optical probes, FITC, Cy5.5, Cy7, QD565, QD605 and QD800 excited with an [18F]-FDG source (14.8 MBq), along with a white light image as legend. See also Supplemental Figure 2. (c) Quantification of the emission intensity, relative to control (water). The ratio of Cerenkov-induced fluorescence to control was greatest for QD605, used for further targeted SCIFI studies. (d) Coronal PET images show significant uptake of [89Zr]-DFO-trastuzumab in Her2/neu expressing xenografts. This is also visualized with CL of the animals using no filter (open channel); sagittal orientation. In the 600 nm bandpass channel, the localization of the cRGD-QD605 targeting αvβ3 in the tumor microenvironment can be visualized as co-localized QD is excited by the CL from the radiolabeled antibody. The control cRAD-QD605 does not target to the tumor, and therefore shows no SCIFI signal. (e) CL and SCIFI quantification time-course. The CL signal is consistent across the imaging time-points, however the 600 nm signal increases in the cRGD-QD605 group, reaching a maximum at 120 minutes. (f) Ratiometric comparison of SCIFI signal to CL for the targeted and control groups over the time-course.

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CIFI signal. (e) CL and SCIFI quantification time-course. The CL signal is consistent across the imaging time-points, however the 600 nm signal increases in the cRGD-QD605 group, reaching a maximum at 120 minutes. (f) Ratiometric comparison of SCIFI signal to CL for the targeted and control groups over the time-course. Figure 4 Enzyme Activatable SCIFI Detection and quantitation of MMP-2 enzyme action using activatable secondary Cerenkov-induced fluorescence nanoparticles. (a) Schematic of enzyme activatable SCIFI probe. Fluorescence is quenched when the fluorescein (FAM)-bearing peptide is bound to the surface of the gold nanoparticle (AuNP). Enzymatic cleavage of the peptide by MMP-2 dissociates FAM, which is no longer quenched. (b) Fluorescent measurement of probe activation in vitro demonstrates recovery of signal after cleavage of the FAM from AuNP. (c) Spectra of activation of FAM probe using [18F]-FDG by SCIFI. (d) Axial PET imaging of [18F]-FDG uptake in both tumors showing non-statistically significant difference in uptake. (e) CL imaging of the Cerenkov signal recapitulates the PET readout of [18F]-FDG uptake. (f) The activated probe is detected in the enzyme-expressing tumor through SCIFI using a filter for FAM, demonstrating concomitant determination of enzyme and glycolytic activity. (g) Schematic representation of the components of observed signal in the SCIFI channel. Quantitation of the probe activation can be accomplished by this approach because there is no non-specific autofluorescence or reflection, see also Supplemental Figure 5. (h) The amount of activated probe in the control tumor is 1.56 pmol, while in the enzyme expressing tumor the average activity is 6.23 pmol (p<0.001). (i) Quantitative western blot of the activated MMP-2 enzyme expression in cell culture supernatant and from tumor lysate. We observe greater production of the active enzyme in the supernatant (left scale) than in vivo (right) from these representative samples. (j) Assessing the gelatinolytic activity of the enzyme (to degrade a gelatin containing gel) was determined by zymography, recapitulating the SCIFI findings.