Literature DB >> 35442536

Quantifying the Photochemical Damage Potential of Contrast-Enhanced Fluorescence Imaging Products: Singlet Oxygen Production.

Huang-Chiao Huang1, T Joshua Pfefer2, Brandon Gaitan1, Lucas Frankle1, Shruti Vig1, Ellen Oskoui2, Miriam Adwan1, Yu Chen3, Rosalie Elespuru2.   

Abstract

The benefits of contrast-enhancing imaging probes have become apparent over the past decade. However, there is a gap in the literature when it comes to the assessment of the phototoxic potential of imaging probes and systems emitting visible and/or near-infrared radiation. The primary mechanism of fluorescent agent phototoxicity is thought to involve the production of reactive molecular species (RMS), yet little has been published on the best practices for safety evaluation of RMS production levels for clinical products. We have proposed methods involving a cell-free assay to quantify singlet oxygen [(SO) a known RMS] generation of imaging probes, and performed testing of Indocyanine Green (ICG), Proflavine, Methylene Blue, IR700 and IR800 at clinically relevant concentrations and radiant exposures. Results indicated that SO production from IR800 and ICG were more than two orders of magnitude below that of the known SO generator Rose Bengal. Methylene Blue and IR700 produced much higher SO levels than ICG and IR800. These results were in good agreement with data from the literature. While agents that exhibit spectral overlap with the assay may be more prone to errors, our tests for one of these agents (Proflavine) appeared robust. Overall, our results indicate that this methodology shows promise for assessing the phototoxic potential of fluorophores due to SO production.
© 2022 The Authors. Photochemistry and Photobiology published by Wiley Periodicals LLC on behalf of American Society for Photobiology. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

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Year:  2022        PMID: 35442536      PMCID: PMC9540578          DOI: 10.1111/php.13638

Source DB:  PubMed          Journal:  Photochem Photobiol        ISSN: 0031-8655            Impact factor:   3.521


INTRODUCTION

Recent advances in optical imaging have the potential to significantly improve patient outcomes, with one of the most promising intraoperative approaches being contrast‐enhanced fluorescence imaging. This technique has the advantage of being real‐time, minimally invasive and increasingly accepted by clinicians. The three primary types of contrast‐enhanced fluorescence imaging procedures include those involving: nontargeted dyes, metabolically localizing fluorophores and molecular‐targeted agents. Over the past 20 years, two of the most widely used clinical fluorophores have been Indocyanine Green (ICG) and fluorescein. These agents have found success as nontargeted dyes, particularly for use in procedures such as retinal angiography (1, 2) and fluorescence‐guided surgical resection (3, 4). Methylene Blue is another nontargeted fluorophore, initially being not only found to selectively stain cells with dysplasia in Barrett's esophagus (5), but also studied as a cancer imaging agent (6, 7). Due to the clinical effectiveness of untargeted fluorophores, researchers began to develop fluorophores capable of localizing in dysplastic cells. One agent that has been studied clinically is Proflavine, particularly for its ability to image cancerous tissue, including oral carcinomas (8). Metabolic imaging agents, with one of the most prominent examples being 5‐aminolevulinic acid (5‐ALA)–induced protoporphyrin IX (PpIX), tend to selectively accumulate in tumors (9, 10). This accumulation has been leveraged to aid in the resection of glioblastoma during fluorescence‐guided surgery, with PpIX specifically allowing the surgeon to better visualize tumors compared with white light imaging (11, 12). More recently, molecular‐targeted imaging agents have begun to achieve clinical viability. Antibody‐labeled probes have been developed to target tumor tissue to aid in surgical guidance. These fluorophores are conjugated to tumor‐targeting compounds to select specific cell surface proteins to bind to, allowing for localized and targeted imaging (13). One example is a folate‐receptor‐α‐targeted probe used to aid in the removal of cervical cancer (14). Often, fluorescence molecular imaging agents employ newer probes that emit fluorescence in the near‐infrared (NIR) “optical window” wavelength range, which should enable higher contrast and deeper penetration imaging. One example is IR800, which is normally used as a targeted imaging agent through conjugation to a monoclonal antibody, being used in over 15 clinical trials. Many of these trials are for the fluorescence‐guided surgery of different types of cancer, such as glioblastoma (NCT03510208), esophageal carcinomas (NCT03558724) and breast cancer (NCT02583568). IR700 was initially used to image colorectal cancer (15, 16) and pancreatic cancer (17) in mice. Another set of dyes that have gained popularity for targeted imaging are “Cy” series dyes (Lumiprobe, Hunt Valley, MD) which fluoresce in the red to NIR spectral range, and can be conjugated to antibodies to aid in the imaging of different cancers (18, 19). When exposed to light at certain wavelengths, fluorophores can exhibit photochemical processes that produce phototoxicity (20). These processes are similar to photochemical effects of tissue exposure to ultraviolet radiation which can cause DNA damage—a scenario that is addressed in existing optical radiation safety standards such as in the IEC 60825–1:2017. The primary mechanism of phototoxicity involves the production of reactive molecular species (RMS) such as singlet oxygen (SO), superoxide anions, hydrogen peroxide and hydroxyl radicals (21, 22). RMS can cause damage to cells directly through protein oxidation, which can inhibit certain enzymatic processes (23), lipid peroxidation, that can cause damage to cellular membranes (24), and nucleic oxidation, which can cause DNA damage and lead to necrosis and/or apoptosis (25). The production of RMS involves the absorption of light that excites the electrons from the ground state to its excited singlet state. When the electron relaxes back down to the ground state, light can be emitted in the form of fluorescence, but another possibility is that after excitation, the electrons go to a triplet state that allows for the transfer of energy to ground state molecules, creating RMS. Perhaps, the most significant RMS is SO. In addition to being the most well‐studied form of RMS, SO is a commonly generated species since it represents oxygen's lowest excited state (26, 27). Additionally, SO has one of the largest redox potentials when compared to other RMS, with a reduction potential of 0.92 E0/V (27); thus, it is more likely to react with its surrounding environment. While prior studies have focused on developing test methods for the detection of phototoxicity and SO (28, 29), none have focused on quantifying the potential toxicity of fluorescent imaging products using test methods that might be widely adopted. Because the process of RMS production and fluorescence are closely related, several agents appear to be capable of dual use, in either imaging or phototherapy. For example, PpIX is used in fluorescence‐guided resection, but its phototoxic effects have also been leveraged as a cancer treatment agent when administered at a higher irradiance and longer exposure time (30, 31). Another is IR700, which has not only been used as an imaging agent but has also been found to produce high levels of RMS. This feature has been exploited to treat bladder (32), lung (33) and breast (34) cancer using photodynamic therapy (PDT), acting as a targeted treatment agent through conjugation to an antibody. Methylene Blue is another agent that has not only found off‐label use as an imaging agent but has also been found to produce RMS, leading to DNA damage in vivo (35, 36). Proflavine has not only been investigated as an imaging agent to detect oral carcinomas (8) but has also been used as a PDT agent to inactivate the herpes simplex virus (37). Therefore, it is important to go beyond identifying fluorophores as phototoxic or nonphototoxic, rather, to evaluate each imaging product as a whole—the agent, device and dosing regime together—to ensure patient safety while not adversely impacting innovation. A variety of methods have been implemented to evaluate phototoxicity, including cytotoxicity assays (3 T3‐NRU), and markers of DNA damage such as the comet assay (38). Guidance documents provided by the Center for Drug Evaluation and Research (CDER) and Center for Biologics Evaluation and Research (CBER) provide recommendations to perform RMS testing. Although RMS testing methods have been defined, these methodologies have fixed concentrations, radiant exposures (He) and wavelengths regardless of the fluorescent probes' clinical use parameters, focusing more on phototoxicity caused by sunlight. For example, OECD/OCDE TG 432 guidelines call for the use of a solar simulator, emitting wavelengths between 290 nm‐700 nm and a He of 5 J cm−2. The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) also points out the need to perform initial in vitro phototoxicity tests before clinical trials are performed. Although the importance of determining the potential phototoxicity of drugs has been established, no literature has been published developing or evaluating a testing methodology that focuses on phototoxicity screening of products intended for imaging, which may involve dual‐use fluorophores at biologically safe levels. The purpose of this research is to facilitate the development and clinical translation of emerging contrast‐enhanced fluorescence imaging products through the establishment of a standardized and least burdensome methodology for phototoxicity screening. This aligns with safety evaluation needs described in a 2017 Consensus Meeting Report by authors from academia, industry and government agencies (39). Through the use of a battery of cell‐free assays, it may be possible to screen imaging products for the potential to produce substantial RMS, and thus the need for further testing (e.g. cell‐based assays). In this study, our primary goal was to evaluate an approach based on a commercial assay to quantify SO production in an objective, quantitative and consistent manner. This involved performing measurements that elucidate differences between well‐known fluorophores under a range of clinically relevant dosing scenarios. In addition to providing insights into RMS generation in specific agents and the limitations of the assay approach, this report describes potential best practices for standardizing preclinical phototoxicity screening of contrast‐enhanced fluorescence imaging products.

MATERIALS AND METHODS

Overview

This study involved three main phases: (1) determination of relevant agent concentrations, optical exposure wavelengths and radiant exposure levels through an extensive literature search of clinical and animal studies; (2) exposure of each agent over a range of concentrations and radiant exposures and measurement of fluorescence levels generated by a commercial SO assay for each case; and (3) analysis of the results to assess agreement with the literature, differences and similarities between agents, and overall performance and limitations of the assay. Through these steps, our intent was to evaluate the potential of this approach, identify best practices for its standardized implementation and provide insight into the SO generation potential of specific agents.

SO assay

The assay used to detect SO produced by the fluorophore is a commercially available product, Singlet Oxygen Sensor Green ([SOSG] Thermo Fisher, Eugene, OR) that has been used in numerous prior studies (28, 40, 41, 42). SOSG has been used for over a decade, becoming one of the most widely used methods for measuring SO due to its high specificity, being activated minimally by other RMS such as hydrogen peroxide and superoxides (43). SOSG is used regularly to qualify the amount of SO produced by phototoxic molecules in the field of PDT (42, 44). SOSG is likely composed of a fluorescein‐based dyad that is bonded to an anthracene moiety. In its normal state, the anthracene quenches the fluorescein, inhibiting its fluorescence. When exposed to SO, the anthracene gets converted to endoperoxide, which does not cause intermolecular quenching, allowing the fluorescein to fluoresce (40, 45). The SOSG assay was prepared by mixing a single 100 μg vial with 330 μL of methanol to make a final concentration of 500 μm. The solution was diluted with deionized (DI) water to a SOSG concentration of 7 μm in the well plate and mixed with the individual fluorophore solutions described below. The SOSG assay was found to have an absorption peak at 485 nm and an emission peak at 522 nm, as seen in Fig. 3.
Figure 3

Peak‐normalized graphs of (A) excitation and (B) emission wavelengths of the fluorophores used in the study as well as the SOSG probe.

Fluorophore concentrations and illumination levels

The rate of RMS generation depends on the spectrum and He of the light source, as well as the concentration of the fluorescent agent. Therefore, we attempted to replicate clinically relevant scenarios—illumination wavelengths and maximum He′s were determined from clinical studies and in vivo experiments for individual fluorophores. Illumination was performed from a very low level to approximately twice the likely maximum clinical He. After a fluorophore concentration was identified as the most clinically relevant level, a set of values from near zero to approximately twice the maximum clinically relevant level were used to evaluate variations in SO production. A limited review of literature enabled the identification of appropriate parameter spaces for the exposure of each agent. ICG (Adooq® BioScience, Irvine, CA) was reconstituted in DI water and diluted to a stock concentration of 1 mm and stored at 0°C while wrapped in foil to avoid light exposure. The concentration range used was 6.5–26 μm, and the He range was 0–20 J cm and excited at a wavelength of 785 nm. ICG doses were based on blood plasma values found in human subjects (46, 47). The He and wavelength of 785 nm were derived from values used for fluorescent‐guided surgery (48). A concentration range of 1–7.5 μm for Methylene Blue (Sigma Aldrich, St. Louis, MO) was used, based on pharmacokinetics data acquired after intravenous administration of 100 mg in human subjects (49). The He of 0–6 J cm was determined through camera exposure times required during open surgery (50). The concentration range used for IR800 (LI‐COR, Inc, Lincoln, NE) was between 2.5 and 20 μm, determined based on clinical studies using IR800 as a contrast agent for fluorescence‐guided surgery (51, 52). The IR700 (Li‐COR, Lincoln, NE) concentration range of 0.125–1 μm was based on in vivo studies where blood and the serum concentration were measured in rodents (53), as well as the biodistribution of IR700 measured in macaques (54). For both IR700 and IR800, the He range was 0–6 J cm , based on current imaging devices and the likely duration of imaging during surgery (55), with the wavelengths of 785 and 685 nm also taken from the excitation wavelengths of currently used devices (55). For proflavine (Sigma Aldrich), we used a concentration range of 1.5–12 μm, a He range of 0–6 J cm , and excited at 445 nm. The concentrations, He′s and wavelength used, were based on human trials using proflavine as an imaging agent to detect oral cancer (8, 56). Rose Bengal (Sigma Aldrich) is not a clinical imaging agent but was included as a positive control since it is known to generate large amounts of SO, to the point where it has been used as a light‐activated anti‐microbial agent (57). Rose Bengal concentrations (0.5–4 μm), exposure levels (He of 0–1 J cm ) and wavelength were selected to achieve similar clinical exposure levels as the other fluorophores tested, to directly compare results. For all fluorophores, 165 μL of the dilution was placed into individual wells in a 96‐well plate. A brief literature review of in vivo concentrations and illumination parameters for each fluorophore is provided in Table 1. The concentrations, excitations wavelengths, irradiances and He′s used in the experiment are summarized in Table 2.
Table 1

Literature review summary focusing on the clinical use of imaging fluorophores: concentration, excitation wavelength and irradiance.

FluorophoreModelUse caseConc.Excitation wavelengthIrradianceImaging timeCitation
ICGHumanLymphatic imaging0.2 mL Injected760 nmNANAUnno, N. et al, 2007 (69)
HumanLymphatic imaging1 mL of 0.5% ICG Injected750–800 nmNA30 minTakeuchi, M. et al, 2012 (75)
HumanBlood conc. of ICG5–30 mg L−1 in plasma805 nmNANAImai, T., 1998 (76)
NAInstrument reviewNA785 nm1.9 mW cm−2 NAZhu, B., 2015 (48)
Humanlymph node imaging1 mL Injected760 nm4 mW cm−2 15 minTagaya, T., 2008 (77)
IR800HumanHead and neck surgery5.2–130 mg total injected775 nmNANAGao, R., et al, 2018 (51)
HumanGlioblastoma imaging50–100 mg injectedNANANAMiller, S., et al, 2018 (52)
NAInstrument reviewNA780 nm3–30 mW cm−2 NAD'Souza, A., et al, 2016 (55)
ProflavineHumanOral cancer imaging0.01% (w/v)455 nmNANAShin, D., et al, 2010 (8)
HumanOral cancer imaging0.01%455 nmNA3–15 minNCT01269190 (2016)
HumanImaging of Barrett's‐Related Neoplasia0.01% (w/v)435/500 nm8.2 mW/14.9 mWNATang, Y., et al, 2016 (56)
Methylene BlueHumanIntravenous bioavailability600–2000 ng mL−1 in bloodNANANAStefano, A., et al, 2018 (78)
SwineUterine imaging0.1 mg kg−1 Injected670 nm2.5 mW cm−2 NAMatsui, A., et al, 2010 (50)
HumanUterine imaging0.25–1 mg kg−1 injected670 nm1.08 mW cm−2 >5 minVerbeek, F., et al, 2013 (6)
HumanBreast cancer imaging1 mg kg−1 injected670 nm1.08 mW cm−2 NATummers, Q., et al, 2014 (7)
IR700PrimateBiodistribution of Injected0.1–10 μg g−1 present in tissue700 nmNANABoer, E., et al, 2015 (54)
MouseEGFR Targeting100 μg injected689 nm25 mW2–20 minSato, K., et al, 2014 (79)
NAInstrument ReviewNA680 nm3–30 mW cm−2 NAD'Souza, A., et al, 2016 (55)
Table 2

Concentration range, excitation wavelength, irradiance and He values used in our experiments to generate SOSG production plots.

FluorophoreConc. range (μM)Excitation wavelength (nm)Irradiance (mW cm−2)Max He (J cm−2)
ICG6.5–267853.820
IR8002.5–2078556
Proflavine0.5–124452.86
MB1–7.56653.46
IR7000.125–16853.26
Rose Bengal0.5–452011
Literature review summary focusing on the clinical use of imaging fluorophores: concentration, excitation wavelength and irradiance. Concentration range, excitation wavelength, irradiance and He values used in our experiments to generate SOSG production plots.

Optical exposure and measurement approaches

A custom setup was developed to illuminate samples in a 96‐well plate (Fig. 1). The system is composed of a laser diode controller (Thorlabs, Inc, Newton, NJ), a laser diode, a collimator (f = 50 mm) and a 20° square diffuser (ED1‐S50‐MD, Thorlabs, Inc.). The system was set to illuminate a 7 cm × 7 cm area, but only a 2.5 cm × 1.75 cm area (six wells in a 96‐well plate) was used, choosing a six‐well area with a variation [(max irradiance‐min irradiance)/max irradiance] of <10%. The two main reasons that a max variation of 10% was chosen is that this is approaching the limits of our setup due to certain nonuniformities in our laser diodes, and at this max variance, the conclusions drawn in this study would not be impacted. Ideally, the variance would be reduced in the future through the use of more uniform laser diodes. TO‐can lasers (Thorlabs, Inc.) were used to expose the different fluorophores, with the following central wavelengths: 520 nm (Rose Bengal), 785 nm (ICG/IR800), 660 nm (Methylene Blue), 685 nm (IR700) and 450 nm (Proflavine). These are the wavelengths most commonly used to excite each fluorophore in a clinical setting. After each plate of samples was illuminated for the appropriate duration to achieve the desired total He, assay fluorescence was measured using a plate reader (Synergy Neo2, BioTek, Winooski, VT) with an excitation wavelength of 485/18 nm and an emission wavelength of 535/26 nm to enable measurement of assay fluorescence, with the plate reader delivering maximum energy of 25 mJ cm−2 per reading for the excitation.
Figure 1

Schematic of the optical exposure system. A laser diode is collimated with a f = 50 mm convex lens. The collimated beam passed through a diffuser to create a top‐hat beam profile and thus provide uniform irradiance across the 96‐well plate.

Schematic of the optical exposure system. A laser diode is collimated with a f = 50 mm convex lens. The collimated beam passed through a diffuser to create a top‐hat beam profile and thus provide uniform irradiance across the 96‐well plate.

Phototoxicity assay procedure

Before proceeding to measurement trials, the concentration of the dilutions was all tested for accuracy using an absorbance measurement, where concentration was calculated using known molar extinction coefficients. Samples were either accepted or remade to correct any errors. The laser system was set to the appropriate irradiance level (Table 2) and verified using a power meter (model PMD100D, Thorlabs, Inc.). A volume of 165 μL of the fluorophore of interest at 2× the desired concentration was mixed with 165 μL of 14 μm SOSG dissolved in DI water in a 96‐well plate, resulting in a mixture of 7 μm of SOSG and the exact desired concentration of the fluorophore of interest. This mixture was prepared with 5–6 replicates depending on the amount of evenly distributed light that can be exposed onto the plate for each given laser and its required irradiance. Three wells were filled with the fluorophore and assay mixture, but these would be covered to avoid exposure to the laser and serve as a dark, negative control. Three more wells were filled with DI water to serve as a blank. These were all placed on the edges of the plate and covered with foil. Controls included three wells that are one‐part DI water and one‐part fluorophore of interest, measured at the same excitation and emission wavelengths as SOSG. This control aided in the quantification of the cross‐talk between the SOSG probe measurement and the fluorophore of interest, with the results in Fig. 6c. The 96‐well plate was initially read with no laser excitation. After the initial reading, the 96‐well plate was illuminated to achieve the desired He, then it was again measured by the plate reader. When the plate was not being illuminated or measured, it was shielded from any ambient light. This process was repeated at predetermined intervals until the maximum He was reached. To assess repeatability, every concentration of each fluorophore was repeated four to six times. A diagram of the process is shown in Fig. 2.
Figure 6

Nonlinear SO production rate plots for (A) Methylene Blue and (B) Proflavine. Figure (C) demonstrates the reading at 0 J for the different fluorophores tested at the excitations/emission of SOSG, the SO signal produced by Rose Bengal and SOSG at the Normalized FLSOSG threshold of 0.6 (concentration of 1 μm, He = 0.8 J cm−2 for Rose Bengal) and the signal produced by a high‐SO generator, in this case, Rose Bengal at a concentration of 4 μm and a He of 1 J cm−2.

Figure 2

Schematic of procedure used to determine assay fluorescence levels for each sample. The fluorophore of interest (at a specific concentration) and assay were mixed in a well plate, exposed to clinically relevant laser illumination, then measured in a plate reader. Exposures and measurements were then repeated at all designated He values and fluorophore concentrations.

Schematic of procedure used to determine assay fluorescence levels for each sample. The fluorophore of interest (at a specific concentration) and assay were mixed in a well plate, exposed to clinically relevant laser illumination, then measured in a plate reader. Exposures and measurements were then repeated at all designated He values and fluorophore concentrations.

Data analysis

Fluorescence signals collected for a given concentration of a fluorophore were normalized to using the formula below: where FLSOSG + Fluo.(Exp):He is the fluorescence intensity of the SOSG probe and fluorophore at the specific He, FLSOSG + Fluo.(Dark Control):He is the corresponding dark control at the same He equivalent time (since they are not exposed to excitation light), FLSOSG + Fluo.(Exp):0J and FLSOSG + Fluo.(Dark Control):0J are the experimental and control fluorescence at 0 J cm−2 and FLSOSG is the average fluorescence intensity of SOSG alone. The mean and standard deviation were calculated and graphed as a function of He. This was repeated for each fluorophore concentration. The results from the repetitions were averaged to generate a final plot with variance represented by error bars. The slope of each of these lines was found using linear regression and setting the y‐intercept to 0. When performing the linear regression, the R 2 value should be >0.96 if the peak‐normalized fluorescence value for the highest concentration is above 1. If the R 2 values are below 0.96, the highest He value should be dropped and the R 2 recalculated. If the peak‐normalized fluorescence value is below 1, then the R 2 value threshold can be dropped to 0.93 due to a loss of sensitivity of the assay at lower fluorescence values. We then plotted the calculated slope against the concentration, giving the SO production rate. This allowed all fluorophores to be viewed together in one figure (Fig. 5). The SO production factor is then derived by taking the slope of the SO production rate vs concentration. The three wells that served as negative controls were also plotted in the same manner as the experimental data and then subtracted from the experimental data.
Figure 5

Summary of SO production for all agents tested. SO production rate values represent the mean slopes of the data in Fig. 4 for different fluorophores at their various tested concentrations. Linear regression was performed to obtain SO production factors (Table 3).

All data were plotted and analyzed using the graphing software PRISM (San Diego, CA) and was plotted using standard error mean.

RESULTS

Figure 3 shows the normalized absorption and emission spectra of the assay and other fluorophores used in this study. SOSG assay absorption and emission peaks are seen at 490 and 530 nm, respectively. For most of the fluorophores tested, there is minimal crossover in excitation and emission with the assay. The exception to this is Proflavine, which has considerable overlap with the assay in both excitation and emission wavelengths. Peak‐normalized graphs of (A) excitation and (B) emission wavelengths of the fluorophores used in the study as well as the SOSG probe. In Fig. 4, we present assay fluorescence as a function of He for all the fluorophores used in this study. For products incorporating two of the imaging agents, IR800 and ICG, modest increases in assay fluorescence with He are apparent, yet the maximum normalized fluorescence level was very low, in the 0.2–0.6 range. These agents also demonstrate minimal correlation with concentration. For example, although ICG and IR800 assay fluorescence does increase with He, there is no difference in fluorescence across concentrations. Proflavine also shows an increase in fluorescence with He, yet a monotonic decrease in fluorescence with concentration is also shown. The remaining three fluorophores—Rose Bengal, Methylene Blue and IR700—produced a strong fluorescent signal, indicating strong production of SO. The fluorescence increase with respect to He is linear, demonstrating a linear relationship between the level of He and SO production. In addition, the slope increases in a linear manner with concentration (further explored in Fig. 5). While the maximum normalized fluorescence produced for these cases ranged from 3 to 11, several of the lower concentration/exposure scenarios produced values <1.
Figure 4

Effect of He and fluorophore concentration on SOSG assay fluorescence intensity for (A) ICG, (B) IR800, (C) Proflavine, (D) Methylene Blue, (E) IR700 and (F) Rose Bengal.

Effect of He and fluorophore concentration on SOSG assay fluorescence intensity for (A) ICG, (B) IR800, (C) Proflavine, (D) Methylene Blue, (E) IR700 and (F) Rose Bengal. A graphical summary of results from all fluorophores tested is shown in Fig. 5. These results demonstrate the dependence of SO production on the type and concentration of fluorophore, as well as He. Because the values in Fig. 5 are taken from the slopes of the plots generated in Fig. 4, the units in Fig. 5 are in units of fluorescence divided by He, which we will refer to as the SO production rate. Due to the normalized fluorescence being unitless, the SO production rate has units of cm2 J−1. The products tested fell into two groups based on their SO production levels. Higher SO generation products included those using Rose Bengal, Methylene Blue and IR700 while products that exhibited relatively low‐SO production rates were ICG, IR800 and Proflavine. In Table 3, we present SO production factors, determined from the slopes of the SO production rates in Fig. 4. The result was compared with previously determined values of SO quantum yield from the literature. SO quantum yield is defined as the amount of SO produced per photon absorbed, so the value is always between 0 and 1 (58, 59). In Table 3, green shading indicates fluorophores with low‐SO production factors and SO quantum yields, while red shading indicates fluorophores with relatively large SO production and quantum yields. Yellow indicates inconclusive results, for reasons that will be addressed in the discussion section. It is also worth noting that a potential discrepancy between the SO production factors and SO quantum yield exists.
Table 3

Singlet oxygen production factor determined from the slopes in Fig. 5. These results were also compared with literature values of SO quantum yield. Highlighting in this table corresponds to low‐SO‐producing fluorophores (green), high‐SO‐producing fluorophores (red) and inconclusive (yellow).

FluorophoreSO production factor [(F/He)/μm]SO quantum yield
ICG0.0012 ± 0.00020.077 ( 80 )
IR8000.0021 ± 0.00024
Proflavine0.0080 ± 0.00140.12 ( 80 )
Rose Bengal0.70 ± 0.010.76 ( 80 )
Methylene Blue0.25 ± 0.010.51 ( 80 )
IR7002.44 ± 0.080.30 ( 81 )
Summary of SO production for all agents tested. SO production rate values represent the mean slopes of the data in Fig. 4 for different fluorophores at their various tested concentrations. Linear regression was performed to obtain SO production factors (Table 3). Singlet oxygen production factor determined from the slopes in Fig. 5. These results were also compared with literature values of SO quantum yield. Highlighting in this table corresponds to low‐SO‐producing fluorophores (green), high‐SO‐producing fluorophores (red) and inconclusive (yellow). Most of the agents demonstrated a linear trend in F/He vs concentration. However, as shown in the SO production plots for (1) Methylene Blue and (2) Proflavine (Fig. 6), Methylene Blue demonstrated a linear response up to 4 μm, after which the rate plateaued and started to decrease. Proflavine results were unique due to the monotonically decreasing SO production rate found. In addition to having a nonlinear response, proflavine also demonstrated a large amount of cross‐talk with the SOSG excitation and emission wavelengths, especially when compared to all the other fluorophores that were measured during this study as seen in Fig. 6c. Nonlinear SO production rate plots for (A) Methylene Blue and (B) Proflavine. Figure (C) demonstrates the reading at 0 J for the different fluorophores tested at the excitations/emission of SOSG, the SO signal produced by Rose Bengal and SOSG at the Normalized FLSOSG threshold of 0.6 (concentration of 1 μm, He = 0.8 J cm−2 for Rose Bengal) and the signal produced by a high‐SO generator, in this case, Rose Bengal at a concentration of 4 μm and a He of 1 J cm−2.

DISCUSSION

In this study, the main goal was to assess the potential for developing an effective and reliable approach to quantify the SO produced by contrast‐enhanced fluorescence imaging products based on an established commercial assay. Our method was able to quantify the amount of SO produced by fluorophores at a specific concentration and excitation wavelength relevant to expected clinical scenarios, which produces important information about the potential phototoxicity of the fluorophore of interest.

Phototoxic potential of tested products

Overall, our results indicate that we can measure and compare the potential SO production of fluorophores at clinical radiant exposure and irradiances. In Fig. 4, results demonstrate that at the highest concentrations and He′s, ICG and IR800 show peak‐normalized assay fluorescence values below 0.6, whereas the positive control Rose Bengal, as well as Methylene Blue and IR700, generated values between 3 and 10 for the highest concentrations and He's. The threshold between low and high SO was established based on the highest normalized fluorescence value produced by ICG, a contrast agent with a long history of safe clinical use. Because ICG is not known to cause phototoxic damage at clinically relevant He′s and concentrations, values below its peak‐normalized FLSOSG of 0.6 (seen in Fig. 4a) can be deemed as having low‐SO toxicity. Values that fall above this threshold can then be classified as potentially producing SO toxicity. From the data in Fig. 5, we calculated the SO production factor for each agent and compared them to the SO quantum yield values published in the literature (Table 3). Figures 4 and 5 indicated that ICG and IR800 exhibited much lower phototoxic potential than the other three agents. It is worth noting that for agents with higher phototoxic potential, using low He and/or concentration combinations could minimize SO generation levels to a point where potentially safe exposures can be performed if the normalized FLSOSG values fall below 0.6. In Fig. 5, while changes in SO production were dose‐dependent for these agents, ICG's SO production rate was always under 0.04, and for IR700, the SO production rate was above 0.4, even at the lowest concentration tested of 0.125 μm. These findings seemed to indicate that increased drug or light doses would not significantly impact the phototoxic potential of products incorporating these agents, although additional study at higher doses would be needed to confirm this behavior. Additional support for our finding that the tested agents tended to fall into either a high or low‐SO‐generating category can be found in the literature. The agents which had high‐SO production factors have been used as photo‐therapeutic agents, including Rose Bengal as a light‐activated anti‐microbial agent in prior studies (57), and IR700 as a photodynamic agent to treat head and neck cancer (NCT02422979). Methylene Blue is used as a white light contrast agent during gastrointestinal chromoendoscopy procedures, to enhance the detection of neoplastic lesions (60). It has also been used as a fluorescent agent to image the uterus (6), thyroid (61) and pancreas (62). Despite this clinical history, our results and previous literature indicate that Methylene Blue can generate significant quantities of SO, with adverse impacts ranging from patients developing skin rashes (63) to the death of preterm neonates (64, 65). In addition, Methylene Blue is likely the source of the DNA damage documented in Barrett's esophagus noted in prior studies (36, 66). Although our study did not explicitly address the drug and light doses involved in this study, SO production is likely a factor, which may be of particular concern given the metaplastic/precancerous state of this tissue. The two agents found to have the lowest SO‐generating potential—ICG and IR800—are primarily used as imaging agents. ICG has been extensively used for retinal angiography (67), vascular neurosurgery (68) and more recently for lymphatic imaging (69). Both ICG and IR800 have been used to aid in fluorescent‐guided resection (51, 70). We are not aware of significant clinical evidence of phototoxicity with either of these agents, with studies demonstrating ICG's efficacy and safety for use in lymph node dissection (71), and clinical trials using IR800 demonstrating no serious adverse side effects in clinical imaging trials (52). Thus, it is likely that the fluorescence assay readings produced during the testing of these agents also represent safe levels. However, it is worth noting that a prior study has indicated that ICG produces SO that rapidly oxidizes the ICG molecule, leading to decomposition and formation of cytotoxic components (72). The SO production factors are shown in Table 3 are derived from the SO production rates in Fig. 4 by taking the slopes of the concentration vs the SO production rate. Because of this, the SO production factor is dependent on concentration and He, having the units of cm2 per J*μm. In addition, the SO production factor is still dependent on several other variables, such as the oxygen level in the surrounding region, and the imaging excitation wavelength. The SO production factor can be thought of as an easy way to compare the SO potential of different fluorophores under their own, independent clinical conditions. As noted in the results section, our SO production factor data show only a moderate degree of quantitative correlation with published SO quantum yields. One possible reason is that the SO quantum yield is independent of environmental factors since it only takes into account the likelihood of generating SO if the compound has already absorbed a photon. One example would be that Rose Bengal has a larger SO quantum yield than IR700, but the reverse is true when comparing SO production factors. But, by looking at the absorbance fraction of the fluorophore at the wavelength used to excite the fluorophore (520 nm/685 nm for Rose Bengal/IR700 respectively), we can see that the absorption fraction for Rose Bengal was 0.33 and for IR700 the absorbance fraction was 0.93. This difference in absorbance is one key factor that could explain the differences between the SO production factor and SO quantum yield.

Potential method limitations

Since the SOSG assay is based on visible wavelength fluorescence, it is not unexpected that there would be an inherent limitation due to interference from test fluorophores that are active in this range. The assay incorporates a fluorescein‐based dyad (20, 21) and thus has the same excitation and emission as fluorescein (485 nm/535 nm respectively). In our study, the effect of optical interference is seen in the test for Proflavine. Although Proflavine exhibited substantial cross‐talk with the assay when measured with a plate reader (Fig. 6c), our current method takes into account cross‐talk effects by implementing a background subtraction using unexposed measurements of fluorophore‐only control samples and assay‐fluorophore mixtures. By implementing this simple correction approach, we were able to effectively mitigate the presence of Proflavine cross‐talk and establish that for the concentrations and radiant exposures used, SO production was low. If Proflavine were to have produced significant SO, the level of increase in assay fluorescence should have been detectable, based on the change in SOSG signal produced by Rose Bengal at higher drug/light doses. However, if higher concentrations of Proflavine were used, or another fluorophore with higher fluorescence yield, the level of cross‐talk and variability in detected signals might increase to the point where results would be compromised regardless of the correction approach. An example of a way to determine whether the cross‐talk variance is too large is to compare the variance of the cross‐talk value at 0 J cm−2 to the fluorescence intensity produced by SOSG at the high/low‐SO threshold. This threshold can be seen in Fig. 6c, looking at the fluorescence produced by Rose Bengal and SOSG at a concentration of 1 μm and He of 0.8 J cm−2 (this is similar to the normalized FLSOSG value of 0.6). If the cross‐talk increases the variance to the point that there is no significant difference between no generation intensity and this threshold value, the cross‐talk might be too large to draw conclusive results from the assay. In addition, users should be aware of the potential for shielding if a fluorophore of interest has an overlapping absorbance spectrum with SOSG emission. The test fluorophore could potentially absorb the SOSG signal, leading to erroneously low estimates of SO. Another unusual result is that of Methylene Blue SO production. After initially increasing linearly with concentration up to 4 μm, assay fluorescence abruptly plateaued, then decreased above 7.5 μm. Unlike the proflavine result, there is little to no interference caused by SOSG and Methylene Blue, as in Fig. 6c we can see that Methylene Blue creates very little cross‐talk in the SOSG channel. This means that the issue is likely not the assay itself. A possible reason for the plateau could be specific to Methylene Blue, as studies have shown that it can be converted to the nonfluorescent compound Leucomethylene, due to pH and concentration changes. A study by Matsui et al. found that in PBS Methylene Blue fluorescence increases with concentration up to 7.5 μm, then decreases with concentration (50). Since SO production is tied to the mechanism that causes fluorescence, factors that affect Methylene Blue fluorescence can affect SO production.

Implications for phototoxicity evaluation

Our findings provide evidence that when implemented according to a standardized set of best practices, it may be possible to use commercially available assays to screen contrast‐enhanced fluorescence imaging devices for photochemical safety. With our methodology, researchers can quickly identify the SO production rate by an imaging probe under expected clinical conditions, using cost‐effective materials and equipment available in most laboratories. Benchmarking optical measurements against well‐established fluorophores such as Rose Bengal and ICG may also help to optimize consistency in test outputs. Initially, it is critical to identify the relevant fluorophore concentration range and He. The identification of exposure levels that significantly exceed the clinical values can be used to provide a factor of safety. For the fluorophore illumination, source irradiance and exposure duration can typically be adjusted to achieve the appropriate He. As long as thermal and multi‐photon effects are avoided, photochemical effects are not highly time‐dependent (except possibly under conditions of transient environmental conditions). However, it should also be noted that the He levels implemented in cell‐free assays may need to be greater than clinical exposure levels to account for the true maximum fluence levels that cells would be subject to in turbid biological tissue. As prior studies have shown, subsurface fluence levels can greatly exceed He levels, due to tissue scattering/backscattering and resultant isotropic propagation of light (73, 74). The cell‐free assay approach studied here may obviate the need for cellular and in vivo phototoxicity testing in many fluorescence imaging products. However, if initial tests demonstrate a high level of SO generation (a value above 0.6 for the derived normalized SO fluorescence generation), the product would be considered potentially phototoxic, and additional testing is required with more involved methods, such as an in vitro photo‐cytotoxicity assay. While the current study focuses on the detection of singlet oxygen, a RMS generated through type 2 reactions, other assays will be needed to detect other RMS produced by type 1 reactions, such as hydroxyl radicals and superoxides. These assays will form the basis of a comprehensive test method. By quantifying other key RMSs, a more thorough understanding of a product's phototoxic potential will emerge. Our future work will focus on two primary needs: (1) cell‐free assays to quantify other RMS that can be produced by fluorescent probes and (2) assays to quantify photo‐cytotoxicity of agents that have been shown to produce significant RMS. By developing a battery of simple tests to assess phototoxicity, we can provide a least burdensome approach to help ensure patient safety and encourage innovation in fluorophores for a variety of clinical applications.

CONCLUSION

In this study, we have developed and evaluated methods based on a commercial cell‐free assay for assessing the potential of fluorophore‐device imaging products to generate SO under clinical conditions. Our findings on light/drug dose–response of several well‐known fluorophores align well with limited published data available on SO production and phototoxic effects of these agents. While spectral overlap of the assay and fluorophores may impede the effectiveness of this approach, initial results indicate that our method can be largely robust to these challenges under certain conditions. Overall, this study provides evidence of the potential of approaches based on commercial assays as screening methods for fluorescence imaging product phototoxicity.

DISCLAIMER

The mention of commercial products, their sources or their use in connection with material reported herein is not to be construed as either an actual or implied endorsement of such products by the Department of Health and Human Services.
  76 in total

1.  Near-infrared fluorescence-guided resection of colorectal liver metastases.

Authors:  Joost R van der Vorst; Boudewijn E Schaafsma; Merlijn Hutteman; Floris P R Verbeek; Gerrit-Jan Liefers; Henk H Hartgrink; Vincent T H B M Smit; Clemens W G M Löwik; Cornelis J H van de Velde; John V Frangioni; Alexander L Vahrmeijer
Journal:  Cancer       Date:  2013-06-21       Impact factor: 6.860

2.  Rational design of fluorescein-based fluorescence probes. Mechanism-based design of a maximum fluorescence probe for singlet oxygen.

Authors:  K Tanaka; T Miura; N Umezawa; Y Urano; K Kikuchi; T Higuchi; T Nagano
Journal:  J Am Chem Soc       Date:  2001-03-21       Impact factor: 15.419

Review 3.  A review of performance of near-infrared fluorescence imaging devices used in clinical studies.

Authors:  B Zhu; E M Sevick-Muraca
Journal:  Br J Radiol       Date:  2015-01       Impact factor: 3.039

4.  Preservation of the metabolic rate of oxygen in preterm infants during indomethacin therapy for closure of the ductus arteriosus.

Authors:  Rohit Arora; Mustafa Ridha; David S C Lee; Jonathan Elliott; Herschel C Rosenberg; Mamadou Diop; Ting-Yim Lee; Keith St Lawrence
Journal:  Pediatr Res       Date:  2013-03-14       Impact factor: 3.756

5.  Feasibility study on quantitative measurements of singlet oxygen generation using singlet oxygen sensor green.

Authors:  Huiyun Lin; Yi Shen; Defu Chen; Lisheng Lin; Brian C Wilson; Buhong Li; Shusen Xie
Journal:  J Fluoresc       Date:  2012-08-23       Impact factor: 2.217

6.  Decreased apoptosis during CAR-mediated hepatoprotection against lithocholic acid-induced liver injury in mice.

Authors:  Lisa D Beilke; Lauren M Aleksunes; Erik R Olson; David G Besselsen; Curtis D Klaassen; Katerina Dvorak; Nathan J Cherrington
Journal:  Toxicol Lett       Date:  2009-03-20       Impact factor: 4.372

Review 7.  Mediation of apoptosis by oxidized phospholipids.

Authors:  Gilbert O Fruhwirth; Albin Hermetter
Journal:  Subcell Biochem       Date:  2008

8.  Near-infrared fluorescence imaging of non-Hodgkin's lymphoma CD20 expression using Cy7-conjugated obinutuzumab.

Authors:  Xinfeng Lin; Hua Zhu; Zheng Luo; Ye Hong; Hong Zhang; Xijuan Liu; Huirong Ding; Huifang Tian; Zhi Yang
Journal:  Mol Imaging Biol       Date:  2014-12       Impact factor: 3.488

9.  Detection of squamous neoplasia by fluorescence imaging comparing porfimer sodium fluorescence to tissue autofluorescence in the hamster cheek-pouch model.

Authors:  I Pathak; N L Davis; Y N Hsiang; N F Quenville; B Palcic
Journal:  Am J Surg       Date:  1995-11       Impact factor: 2.565

10.  Safety of panitumumab-IRDye800CW and cetuximab-IRDye800CW for fluorescence-guided surgical navigation in head and neck cancers.

Authors:  Rebecca W Gao; Nutte Teraphongphom; Esther de Boer; Nynke S van den Berg; Vasu Divi; Michael J Kaplan; Nicholas J Oberhelman; Steven S Hong; Elissa Capes; A Dimitrios Colevas; Jason M Warram; Eben L Rosenthal
Journal:  Theranostics       Date:  2018-03-28       Impact factor: 11.556

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