Open Access
1 March 2008 Monitoring singlet oxygen in situ with delayed chemiluminescence to deduce the effect of photodynamic therapy
Author Affiliations +
Abstract
Singlet oxygen (1O2) is an important factor mediating cell killing in photodynamic therapy (PDT). We previously reported that chemiluminescence (CL) can be used to detect 1O2 production in PDT and linked the signal to the PDT-induced cytotoxicity in vitro. We develop a new CL detection apparatus to achieve in vivo measurements. The system utilizes a time-delayed CL signal to overcome the interference from scattered excitation light, thus greatly improving the accuracy of the detection. The system is tested on healthy skin of BALB/ca mouse for its feasibility and reliability. The CL measurement is made during a synchronized gating period of the irradiation light. After each PDT treatment and in situ CL measurement, the skin response is scored over a period of 2 weeks. A remarkable relationship is observed between the score and the CL, regardless of the PDT treatment protocol. Although there are many issues yet to be addressed, our results clearly demonstrate the feasibility of CL measurement during PDT and its potential for in vivo PDT dosimetry. This requires further investigations.

1.

Introduction

Photodynamic therapy (PDT) is a cell-killing process by light activation of a photosensitizer in the presence of oxygen.1, 2, 3 It is well established that PDT cytotoxicity is mainly mediated via reactive oxygen species (ROS), i.e., singlet oxygen, produced during the light treatment.4, 5, 6 Similar to other radiation therapies, proper dosimetry is required to warrant a successful PDT treatment. Given a particular tissue target with its intrinsic sensitivity to PDT, the effectiveness of a treatment depends on the interplay of three main factors: pharmacokinetics and biodistribution of the photosensitizer in the target, the light absorption by the photosensitizer molecules, and the availability of molecular oxygen.7 Currently, clinical PDT dosimetry is still largely empirical and based on two descriptive parameters, delivered optical and drug “doses.”8 The optical dose is often described as the energy fluence and fluence rate per unit area (for superficial irradiation) or per unit length (for interstitial irradiation). Although the optical inhomogeneity intrinsically associated with biological targets has been considered by researchers,9, 10 precise PDT dosimetry that links the treatment protocol directly to biological outcome remains a challenging task. The photosensitizer is typically prescribed based on patient body weight or body surface, regardless of the large intra- and interpatient variations in pharmacokinetics. Recent developments in PDT dosimetry are achieved by either incorporating several of these parameters into a single metric9, 11, 12 (e.g., photosensitizer bleaching, oxygen-conserving, etc.), or using certain biophysical/biological markers to predict PDT-induced tissue damage.13, 14 Clearly, given the complicated factors involved in PDT, a direct measurement of the cytotoxic agent produced during a treatment would provide superior dosimetry.15

It is generally accepted that O21 is one of the most important mediators for either direct cytotoxicity and/or cell death due to vascular damage caused by PDT. Monitoring the production of O21 by measuring its luminescence at 1270nm would provide an ultimate marker and an ideal dosimetry technique.6, 16 Several issues limit the technique to be used as a routine means of PDT dosimetry.17 The luminescence is extremely weak and is interfered with by not only the irradiation light, but also the autofluorescence. It requires a highly specialized and expensive photon multiplier tube (PMT) to acquire the luminescence signal that has a half-life-of the order of nanoseconds and at a 1270-nm wavelength. Although it has been shown, technically, it is possible to overcome these disadvantages; the complexity of the technical approach and the associated cost likely classify the technique as a gold standard of PDT dosimetry rather a routine method for practical applications.

The objective of the study reported in this paper is to monitor O21 production using ROS-specific chemiluminescence (CL). Several CL probes18, 19, 20 have been used to evaluate ROS production due to their high selectivity, sensitivity, and easy detection. ROS can chemically interact with probe molecules and transfer their potential energy to the latter. Upon that, the probe molecules, by changing their conformation, reach higher/excited energy state(s). During the subsequent deexcitation, photons in the visible wavelength range are emitted as CL. In general, CL is much stronger in signal strength and longer in lifetime, compared to that of the direct O21 luminescence, and thus can be easily detected by a conventional optical detection system such as21 a PMT. With these good characteristics, much higher detection sensitivity and technical simplicity can be achieved.

In our experiment, we used a CL probe, fluorescenyl cypridina luciferin analog [FCLA, [3, 7-Dihydro-6- [4-[2-[ N -(5-fluoresceinyl) thioureido] ethoxy] phenyl]-2-methylimidazo [1,2-a]pyrazin-3-one], that can selectively detect singlet oxygen and superoxide.22, 23 We previously reported that the FCLA CL is directly related to PDT cytotoxicity in vitro,24 regardless of the treatment protocol. In this in vivo study, we detected O21 with the CL probe FCLA. We developed21 a novel CL detection method by utilizing the decay character of CL to minimize the interference of the irradiation light. In this study, a novel CL measurement system aimed at in vivo applications was developed. By gating and synchronizing the irradiation light with the PMT system, we achieved an excellent SNR during in vivo measurements, practically eliminating the interference from the irradiation light. We further tested the method by comparing skin reactions with an array of PDT treatment protocols and the corresponding CL measured during the treatment. The results clearly demonstrate that in vivo CL measurement during PDT is feasible and there is a reliable correspondence between the CL and the biological outcome. Our study thus establishes an in vivo CL technique in PDT dosimetry as both effective and practical, and supports the need for further investigations.

2.

Materials and Methods

2.1.

Chemicals

For the ROS-specific CL probe, FCLA (Free Acid FCLA, Tokyo Kasei Kogyo Co., Tokyo, Japan) was dissolved in double-distilled water (100μM) and stored at 80°C until needed. The probe produces25 a 532-nm CL and is at its maximum detection efficiency in the biological PH range. For the photosensitization reaction, photosensitizer protoporphyrin IX disodium salt (PpIX) (Aldrich Chemical Co., Milwaukee, Wisconsin) was prepared according to the manufacturer’s directions to a concentration of 200μM . The stock was stored in the dark at 4°C until needed.

2.2.

Apparatus for Fluorescence and CL Detection

The schematic for fluorescence detection is shown in Fig. 1 . For a semi-quantitative monitoring of the FCLA concentration in the target before PDT, FCLA fluorescence at 515nm was monitored during the experiment.25 The excitation light source was an argon-krypton laser ( 488nm , Model 5500 ASL, Aiao Laser Co. Shanghai, China) and two filters [ FF500646-Di01-25×36 to 45deg beamsplitter, Semrock Co. USA, and a 510-nm bandpass (BP) filter, Oriel Co., USA.] were used to isolate the fluorescence signal from the irradiation light. The fluorescence was measured using a PMT (Model MP 952, PerkinElmer Optoelectronics, Wiesbaden, Germany) with a counter (PCL-836, Advantech Co., Ltd. Taiwan). The irradiation and fluorescence system is synchronized and controlled by LabVIEW (LabVIEW version 6.1 National Instruments, USA). For the in vivo experiment, a custom-built mouse holder was fixed on a three-axis translational stage and the position was optimized for maximizing the signal collection of the PMT [Fig. 1B].

Fig. 1

Schematic of the experimental system for fluorescence measurements.

024023_1_018802jbo1.jpg

The CL detection is similar to that for the fluorescence. The irradiation source for the photosensitization reaction is a custom-built, gated diode laser system (maximum power 100mW , 635-nm laser diode controller, LDC 2000, ThorLab, and TEC 2000, Wavelength Electronics, USA). The laser system is controlled and modulated by the transistor-to-transistor logic (TTL) level of the counter. For the gated light irradiation and data acquisition, a 2-s irradiation was immediately followed by a 1-s data collection. A BP filter (530-nm BP filter, Oriel Co., USA) was used to protect the PMT from scattered irradiation light.

2.3.

Experimental Protocols

BALB/ca mice of both genders (Center of Experimental Animal SunYat-sen University, Guangzhou, China) were used to provide an in vivo normal skin model. The mice were housed in an environmentally controlled animal facility with regular light/dark cycle. Before each experiment, the hind leg of a mouse was molted by depilatory ( Na2S 8% aquasolution). For the in vivo PDT treatment and CL and fluorescence measurements, the mice were restrained using a custom-built holder without anesthesia. The animal holder was designed and fabricated to enable a hind leg to be positioned outside the holder without compromising its blood flow.

To simplify the experimental setup, in this pilot study, the pharmacokinetics of the FCLA were investigated in a separate experiment from the PDT-CL study. The 515-nm florescence of FCLA was continuously monitored in a separate animal after FCLA injection. The exposed mouse skin was irradiated with the argon-krypton laser, as already described, at 2μWcm2 . After collecting the control data (no drug injection), FCLA (0.01μmol) in 200-μL physiologic saline was subcutaneously injected into the leg, and then the florescence signal collection was continued.

Premixed PpIX (0.02μmol) and FCLA (0.01μmol) in 200-μL physiologic saline were injected subcutaneously into the leg, 1h prior to the PDT light irradiation.26 For PDT, each skin-exposed leg was irradiated with the 635-nm laser at a predetermined fluence and fluence rate (Table 1 ). The light irradiation was fractionated into 2s1s light/dark cycle so CL signals could be collected during the dark periods. The mice were divided into six groups and treated accordingly ( n=7 /group, Table 1).

Table 1

PDT treatment protocols.

Fluence Rate (mw∕cm2) Fluence (J∕cm2) PpIX (μmol) Mice
10400.026
30400.026
30300.026
30200.026
30100.026
50400.026
000.026

2.4.

Method of Scoring PDT Effect

The normal skin response to PDT was evaluated in mice. A 1-cm-diam area of the hind limb was treated and then judged for the phototoxcity. A quantitative skin scoring system (Table 2 ) was used to document photosensitivity by recording the appearance and decline of edema, erythema, and desquamation induced by each treatment.27 The PDT treatment result, scored as the skin response, was recorded daily by a person who had no knowledge of the treatment protocol (single-blind method). A scoring system previously used on nude mice was adopted. With either nude or the regular mice used in this current study, the scoring system is only a pseudonumerical system based on objective observation of the skin response. These values give only an indication of the severity of the response, but not a true measurable degree of the biological outcome. The numerical values, thus, should not be compared directly among different animal models. To minimize the potential arbitrary associated with the objective scoring system, accumulated scores from each animal over a period of 2 weeks were used for evaluating the PDT response.

Table 2

Skin response score for PDT treatment effect.

ScoreObservation
0No observable effect
1Mild erythema
2Moderate erythema
3Strong erythema
4Dry desquamation
5Thin scab formation
6Thick scab formation

2.4.1.

Data analysis and statistics

Each PDT treatment protocol was repeated six times. Each animal was allowed to be treated only once. The results were analyzed accordingly. Parametric and nonparametric summary statistics are presented for each variable. Numerical data are presented as means±SE (standard error). Accumulated CL was calculated by integrating the CL signals over the measurement period.

3.

Results

The temporal profile of FCLA fluorescence intensity during the FCLA injection and PDT procedure is shown in Fig. 2 . When excited by light at 488nm from an argon-ion laser, the probe (FCLA) has a strong fluorescence at its spectral peak value of 515nm . In this study, monitoring of the FCLA diffusion and/or metabolism was performed in situ, but with a minor delay in signal collection to facilitate the drug infusion; thus, the interrupted continuity in the fluorescence temporal profile. After an initial surge due to the bolus injection, the FCLA fluorescence in situ increased steadily in the first hour until it reached a plateau, and remained steady thereafter for at least 1h . The FCLA-CL measured immediately after pulsed laser irradiation is shown in Fig. 3 . The CL signal shows a typical exponential decay character with an average half-life 172±64ms (mean±SD) . Figure 4 shows a representative temporal profile of FCLA-CL intensity and its corresponding cumulative value during a PDT irradiation. The data indicate that while the irradiating fluence rates remained constant during a treatment, the corresponding CL intensity decreased over time.

Fig. 2

Temporal profile of FCLA fluorescence intensity measured in situ from normal mouse skin after local bolus injection ( 0.01μmol200μL saline): (A) background (without FCLA) and (B) the fluorescence signal immediately after the injection. CPS=counts per second.

024023_1_018802jbo2.jpg

Fig. 3

Real-time in situ CL measurement during interrupted PDT treatment. The X axis is not to scale and the gray columns indicate 2-s PDT irradiation periods.

024023_1_018802jbo3.jpg

Fig. 4

CL intensity (•, left, Y axis) and cumulative CL (solid line, right Y axis) during PDT ( x axis is irradiation time). The treatment protocol is fluence rate= 30mWcm2 and fluence= 30Jcm2 .

024023_1_018802jbo4.jpg

Figure 5 shows the relationship between CL and various PDT treatment protocols from the in vivo mouse skin. The accumulated CL increases linearly with the total optical fluence [Fig. 5A]. As shown in Fig. 5B, given identical total irradiation fluence, a higher irradiation fluence rate resulted in less CL, meaning, less O21 , compared to that produced with a lower irradiation fluence rate. After PDT treatment, the skin showed various degrees of response, depending on the treatment protocols. The maximum response occurred within 1 week of the treatment and gradually recovered by the end of the 2-week follow-up period. At the same irradiation fluence rate, higher fluence produced more severe skin response [Fig. 6A ]. With identical irradiation fluence, a higher irradiation fluence rate resulted in less prominent damage to the target [Fig. 6B]. The total skin response score, a sum of daily scores from each animal over the 2-week follow-up period, is shown in Fig. 7 . Since the score, by definition, is not a true numerical evaluation of the skin response, we did not attempt linearity analysis of the data or statistical analysis for significant differences. Nevertheless, the graphs demonstrate that the skin response is dependent on both irradiation light fluence and fluence rate. On the other hand, a slight skin response with the 0-Jcm2 dose can be seen in the graphs. The slight skin response without PDT treatment is likely due to the bolus injection itself.

Fig. 5

Relationships between accumulated CL and (A) irradiation fluence or (B) fluence rate.

024023_1_018802jbo5.jpg

Fig. 6

Relationships between skin response and (A) total fluence and (B) fluence rate.

024023_1_018802jbo6.jpg

Fig. 7

Skin score (mean±SE) after PDT by varying (A) total fluence or (B) fluence rate.

024023_1_018802jbo7.jpg

By pooling all accumulated CL and corresponding skin scores together, regardless of the treatment protocol, we obtained a chart showing the relationship between the production of the cytotoxic agent and its biological effects (Fig. 8 ). A linear regression fit was done in the figure (R2=0.97) . Again, although linear regression may not have much true meaning due to the nature of the scoring system, the results clearly demonstrate that CL and the PDT biological effect has an excellent correspondence, with CL as a unique marker for predicting the biological effect.

Fig. 8

Relationship between accumulative CL and total skin scores without differentiating the treatment protocols. The linear fit is given as Y=14+9.99×106X (R2=0.97) .

024023_1_018802jbo8.jpg

4.

Discussion

On local injection, FCLA can either enter the systemic circulation or be temporarily taken up by cells. It has been demonstrated that FCLA can penetrate into the intracellular space rather efficiently.28 By monitoring the FCLA fluorescence intensity over time, it is possible to study the local retention of FCLA. The data show that, after an initial 45-min increase, the skin retention of FCLA reaches a relatively stable phase lasting at least 1h . This allows a reasonable time window for a CL measurement during a typical PDT treatment, without a significant effect due to the local FCLA concentration changes. Clearly, this conclusion applies only in the specific case of mouse skin. For other targets, more detailed studies must be conducted for potential changes in FCLA pharmacokinetics.

After completely cutting off the irradiating light, we measured the half-life of the FCLA CL to be approximately 200ms . The autofluorescence of the skin has a much shorter lifetime and should have minimum impact on the result. This, consistent with that reported by others, shows that CL has a much longer life time than that of the O21 fluorescence.21, 29 The longer lifetime and an emission wavelength in the visible light range of CL translate into a more practical approach for O21 measurement, as it can be realized with conventional optical system such as those used in our study.

Note that the cumulative CL measured during PDT does not increase linearly with the irradiation time, due to a gradual decrease in the CL intensity (as shown by dots in Fig. 4). Considering that the local concentration of FCLA remains relatively stable during the course of the light irradiation, it is not likely that the pharmacokinetics of FCLA are a major factor contributing to be the CL decrease. The decrease in CL intensity over time is more likely due the following factors. It is well established that PDT can induce local oxygen depletion,30 resulting in a decrease of O21 and, subsequently, a CL decrease. But the depletion would not affect the precision of detecting singlet oxygen with CL. Also the oxygen bleaching and supply may reach a dynamic equilibrium after a certain time, countered by local oxygen diffusion from local vasculature that is abundant in the skin. In addition, FCLA-CL is an irreversible chemical process. The CL probe is consumed during the process, causing CL decay, although its depletion is slow. These hypotheses require further investigation.

With PDT-induced changes of oxygen concentration, it is not surprising that given identical irradiation fluence, the total accumulated CL varies with the irradiation fluence rate. This is confirmed by the observation that higher irradiation fluence rate resulted less total CL production. Nevertheless, if the fluence rate is kept the same, statistically, the accumulated CL depends on the total light fluence increase.

The effect of PDT on skin took several days to maximize. This is a typical phenomenon of the treatment. With our current treatment protocol, the skin eventually recovered to normal or near normal condition, similar to that reported by others.31, 32 Since the skin response score is not a very objective evaluation and depends highly on the observer, we applied a concept of total skin response score by summing the scores from each animal over a fixed length of time. This was done to minimize the potential variations in individual scores. By comparing the total skin score to the treatment protocol, we found that the score increases as the total optical fluence increase, as expected. Given identical irradiation fluence, a higher fluence rate resulted in less total skin score/biological effect. Again, this coincides well with what has been well understood, that higher irradiation fluence rate causes more rapid oxygen and photosensitizer depletion,33 thus less PDT efficiency.

The purpose of this study is to evaluate the feasibility of FCLA-CL as a PDT dosimetry marker. The choice of direct administration of exogenous PpIX instead of the usual ALA was due to the lower PDT efficiency of ALA in normal skin. Our preliminary investigation of ALA in the skin model yielded little CL signal, likely due to its lower concentration and subsequent generation of endogenous PpIX in the normal tissue, compared to that in tumor.

With the limited data collected in this study, it is premature to conclude that FCLA-CL can quantitatively predict the biological outcome of a PDT treatment. However, the data do indicate that accumulated CL is likely to reflect the total O21 production during a PDT treatment. It is well established that O21 is the main cytotoxic agent mediating PDT damage and there is strong evidence indicating the existence of a PDT damage threshold in various biological targets.34, 35, 36 It is thus reasonable to conclude that the in situ CL measurement using FCLA, a highly O21 selective probe, may provide an alternative marker for PDT dosimetry.

It is realized there are still many issues that must be addressed before the technique can be practically used in a PDT treatment. For example, for a practical tumor PDT treatment, the location(s) of CL signal collection and the optical system sensitivity required for in vivo monitoring still require further investigation. In the preliminary study, a 2s1s light/dark cycle was used for PDT light irradiation and CL signal collection. The effect of such a “fractionated” PDT treatment has been studied by various investigators and the results, in general, suggest an improved biological effect due to improved tissue reoxygenation and other factors similarly observed in ionizing radiation therapy. 37, 38, 39, 40 If the total treatment time is a concern, the dark period for CL collection can be decreased to the millisecond range, while multiple sampling will certainly improve the SNR ratio.

Although data from this study show that FCLA can remain in normal mouse skin for more than 1h with little changes in its concentration, this may not be the case for other types of tissue. Colocalization of the photosensitizer and the CL probe must be considered for practical applications of the technique. A more detailed investigation of the interplay among the administration time of photosensitizer, CL probe, and light irradiation is critical to minimize the uncertainty caused by the difference in the pharmacokinetics of the drugs. Simultaneous monitoring of CL probe fluorescence during PDT treatment and CL measurement is a technically feasible approach, as shown in our preliminary study. With the technique, the local retention of the CL probe can be evaluated at real time and factored into the signal analysis.

Like any photons passing through a biological tissue, CL is inevitably subjected to the light scattering and absorption by the tissue before it is collected by an external optical detector, such as in this study. An interstitial isotropic optical fiber probe positioned at a designated location(s), i.e., distal tumor margin, for in situ CL collection is likely to minimize the uncertainty caused by light transmission in a tissue, at the same time, resolving the problem of limited CL diffusion range if it has to pass through layers of tissue to be detected.

Acknowledgments

This research is supported by the National Natural Science Foundation of China (30470494; 30627003), the Natural Science Foundation of Guangdong Province (7117865), and the U.S. National Institutes of Health (NIH) Grant No. PO1-43892. Dr. Fred W. Hetzel of the University of Colorada Health Sciences Center (UCSCH), Colorado, provided invaluable scientific and editorial support to this manuscript.

References

1. 

H. Kostron, A. Obwegeser, and R. Jakober, “Photodynamic therapy in neurosurgery: a review,” J. Photochem. Photobiol., B, 36 157 –168 (1996). https://doi.org/10.1016/S1011-1344(96)07364-2 1011-1344 Google Scholar

2. 

N. L. Oleinick, R. L. Morris, and I. Belichenko, “The role of apoptosis in response to photodynamic therapy: what, where, why, and how,” Photochem. Photobiol. Sci., 1 (1), 1 –21 (2002). https://doi.org/10.1039/b108586g 1474-905X Google Scholar

3. 

S. B. Brown, E. A. Brown, and I. Walker, “The present and future role of photodynamic therapy in cancer treatment,” Lancet Oncol., 5 497 –508 (2004). Google Scholar

4. 

C. S. Foote, “Definition of type I and type II photosensitized oxidation,” Photochem. Photobiol., 54 659 –661 (1991). https://doi.org/10.1111/j.1751-1097.1991.tb02071.x 0031-8655 Google Scholar

5. 

J. Moan, Q. Peng, R. Sorensen, V. Iani, and J. M. Nesland, “The biophysical foundations of photodynamic therapy,” Endoscopy, 30 387 –391 (1998). 0013-726X Google Scholar

6. 

J. Yamamoto, S. Yamamoto, T. Hirano, S. Y. Li, M. Koide, E. Kohno, M. Okada, C. Inenaga, T. Tokuyama, N. Yokota, S. Terakawa, and H. Namba, “Monitoring of singlet oxygen is useful for predicting the photodynamic effects in the treatment for experimental glioma,” Clin. Cancer Res., 12 (23), 7132 –7139 (2006). 1078-0432 Google Scholar

7. 

D. Nowis, M. Makowski, T. Stokosa, M. Legat, T. Issat, and J. Golab, “Direct tumor damage mechanisms of photodynamic therapy,” Acta Biochim. Pol., 52 (2), 339 –352 (2005). 0001-527X Google Scholar

8. 

G. M. Griffin, T. Zhu, M. Solonenko, F. D. Piero, A. Kapakin, T. M. Busch, A. Yodh, G. Polin, T. Bauer, D. Fraker, and S. M. Hahn1, “Preclinical evaluation of motexafin lutetium-mediated intraperitoneal photodynamic therapy in a canine model,” Clin. Cancer Res., 7 (2), 374 –381 (2001). 1078-0432 Google Scholar

9. 

I. A. Boere, D. J. Robinson, H. S. de Bruijn, J. van den Boogert, H. W. Tilanus, H. J. Sterenborg, and R. W. de Bruin, “Monitoring in situ dosimetry and protoporphyrin IX fluorescence photobleaching in the normal rat esophagus during 5-aminolevulinic acid photodynamic therapy,” Photochem. Photobiol., 78 (3), 271 –278 (2003). https://doi.org/10.1562/0031-8655(2003)078<0271:MISDAP>2.0.CO;2 0031-8655 Google Scholar

10. 

L. Lilge, N. Pomerleau-Dalcourt, A. Douplik, S. H. Selman, R. W. Keck, M. Szkudlarek, M. Pestka, and J. Jankun, “Transperineal in vivo fluence-rate dosimetry in the canine prostate during SnET2- mediated PDT,” Phys. Med. Biol., 49 3209 –3225 (2004). https://doi.org/10.1088/0031-9155/49/14/014 0031-9155 Google Scholar

11. 

M. C. G. Aalders, M. L. Triesscheijn, and M. Ruevekamp, “Doppler optical coherence tomography to monitor the effect of photodynamic therapy on tissue morphology and perfusion,” J. Biomed. Opt., 11 044011 (2006). https://doi.org/10.1117/1.2337302 1083-3668 Google Scholar

12. 

B. W. Henderson, S. O. Gollnick, J. W. Snyder, T. M. Busch, P. C. Kousis, R. T. Cheney, and J. Morgan, “Choice of oxygen-conserving treatment regimen determines the inflammatory response and outcome of photodynamic therapy of tumors,” Cancer Res., 64 (15), 2120 –2126 (2004). https://doi.org/10.1158/0008-5472.CAN-03-3513 0008-5472 Google Scholar

13. 

S. K. Bisland, J. W. Austin, D. P. Hubert, and L. Lilge, “Photodynamic actinometry using microspheres: concept, development and responsivity,” Photochem. Photobiol., 79 (4), 371 –379 (2004). https://doi.org/10.1562/FR-03-18.1 0031-8655 Google Scholar

14. 

S. B. ZHou, ZH. H. Zhang, Q. Liu, S. H. Q. Zeng, and Q. M. Luo, “The application of optical imaging: studying the photodynamic effect of tumor in vivo,” Prog. Biochem. Biophys., 32 (10), 969 –974 (2005). Google Scholar

15. 

B. C. Wilson, M. S. Patterson, and L. Lilge, “Implicit and explicit dosimetry in photodynamic therapy: a new paradigm,” Lasers Med. Sci., 12 182 –199 (1997). 0268-8921 Google Scholar

16. 

M. J. Niedre, M. S. Patterson, and B. C. Wilson, “Direct near-infrared luminescence detection of singlet oxygen generated by photodynamic therapy in cells in vitro and tissues in vivo,” Photochem. Photobiol., 75 382 –391 (2002). https://doi.org/10.1562/0031-8655(2002)075<0382:DNILDO>2.0.CO;2 0031-8655 Google Scholar

17. 

M. T. Jarvi, M. J. Niedre, M. S. Patterson, and B. C. Wilson, “Singlet oxygen luminescence dosimetry (SOLD) for photodynamic therapy: current status, challenges and future prospects,” Photochem. Photobiol., 82 1198 –1210 (2006). https://doi.org/10.1562/2006-05-03-IR-891 0031-8655 Google Scholar

18. 

X. H. Li, G. X. Zhang, H. M. Ma, D. Q. Zhang, J. Li, and D. B. Zhu, “4,5-dimethylthio-4-[2-(9-anthryloxy)ethylthio]tetrathiafulvalene, a highly selective and sensitive chemiluminescence probe for singlet oxygen,” J. Am. Chem. Soc., 126 11543 –11548 (2004). https://doi.org/10.1021/ja0481530 0002-7863 Google Scholar

19. 

K. Teranishi and T. Nishiguchi, “Cyclodextrin-bound 6-(4-methoxyphenyl)imidazo[1,2-a]pyrazin-3(7H)-ones with fluorescein as green chemiluminescent probes for superoxide anions,” Anal. Biochem., 325 185 –195 (2004). https://doi.org/10.1016/j.ab.2003.10.042 0003-2697 Google Scholar

20. 

S. Sun, X. H. Li, G. X. Zhang, H. Ma, D. Q. Zhang, and Zh. J. Bao, “Determination of H2O2-dependent generation of singlet oxygen from human saliva with a novel chemiluminescence probe,” Biochim. Biophys. Acta, 1760 440 –444 (2006). 0006-3002 Google Scholar

21. 

Y. C. Wei, J. Zhou, D. Xing, and Q. Chen, “In vivo monitoring of singlet oxygen using delayed chemiluminescence during photodynamic therapy,” J. Biomed. Opt., 12 (1), 014002 (2007). https://doi.org/10.1117/1.2437151 1083-3668 Google Scholar

22. 

M. Hao, D. Xing, Q. Chen, and J. Wang, “A high sensitivity detection method of singlet oxygen and superoxide anion,” Chin. Chem. Lett., 15 (6), 679 –682 (2004). 1001-8417 Google Scholar

23. 

J. Wang, D. Xing, Y. H. He, and X. J. Hu, “Experimental study on photodynamic diagnosis of cancer mediated by chemiluminescence probe,” FEBS Lett., 523 128 –132 (2002). https://doi.org/10.1016/S0014-5793(02)02961-7 0014-5793 Google Scholar

24. 

Y. F. Qin, D. Xing, J. Zhou, S. M. Luo, and Q. Chen, “Feasibility of using fluoresceinyl cypridina luciferin analog in a novel chemiluminescence method for real-time photodynamic therapy dosimetry,” Photochem. Photobiol., 81 (6), 1534 –1538 (2005). https://doi.org/10.1562/2005-05-20-RA-536 0031-8655 Google Scholar

25. 

Y. h. He, D. Xing, S. C. Tan, Y. H. Tang, and K. I. Ueda, “In vivo sonoluminescence imaging with the assistance of FCLA,” Phys. Med. Biol., 47 1535 –1541 (2002). https://doi.org/10.1088/0031-9155/47/9/308 0031-9155 Google Scholar

26. 

I. Bronshtein, S. Aulova, A. Juzeniene, V. Iani, L. W. Ma, K. M. Smith, Z. Malik, J. Moan, and B. Ehrenberg, “In vitro and in vivo photosensitization by protoporphyrins prossessing different lipophilicities and vertical lacalizaotion in the membrane,” Photochem. Photobiol., 82 1319 –1325 (2006). https://doi.org/10.1562/2006-04-02-RA-865 0031-8655 Google Scholar

27. 

D. J. Robinson, H. S. de Bruijn, N. van der Veen, M. R. Stringer, S. B. Brown, and W. M. Star, “Fluorescence photobleaching of ALA-induced protoporphyrin IX during photodynamic therapy of normal hairless mouse skin: the effect of light dose and irradiance and the resulting biological effect,” Photochem. Photobiol., 67 140 –149 (1998). https://doi.org/10.1111/j.1751-1097.1998.tb05177.x 0031-8655 Google Scholar

28. 

Y. X. Wu and D. Xing, “Permeating efficiency and localization of FCLA and HpD through membrane of lung, cancer cell,” Acta Laser Biol. Sin., 14 (4), 287 –291 (2005). Google Scholar

29. 

R. Schmidt, “The influence of heavy atoms on the deactivation of singlet oxygen (delta) in solution,” J. Am. Chem. Soc., 111 6983 –6987 (1989). https://doi.org/10.1021/ja00200a013 0002-7863 Google Scholar

30. 

H. W. Wang, M. E. Putt, M. J. Emanuele, D. B Shin, E. Glatstein, A. G. Yodh, and T. M. Busch, “Treatment-induced changes in tumer oxygenation predict photodynamic therapy outcome,” Cancer Res., 64 7553 –7561 (2004). https://doi.org/10.1158/0008-5472.CAN-03-3632 0008-5472 Google Scholar

31. 

M. J. Niedre, C. S. Yu, M. S. Patterson, and B. C. Wilson, “Singlet oxygen luminescence as an in vivo photodynamic therapy dose metric: validation in normal mouse skin with topical amino-levulinic acid,” Br. J. Cancer, 92 298 –304 (2005). 0007-0920 Google Scholar

32. 

A. Ferrario, C. F. Chantrain, K. v. Tiehl, S. Buckley, N. Rucker, D. R. Shalinsky, H. Shimada, Y. A. Declerck, and C. J. Gomer, “The matrix metalloproteinase inhibitor prinomastat enhances photodynamic therapy responsiveness in a mouse tumor model,” Cancer Res., 64 2328 –2332 (2004). https://doi.org/10.1158/0008-5472.CAN-04-0071 0008-5472 Google Scholar

33. 

S. Mitra and T. H. Foster, “Photochemical oxygen consumption sensitized by a porphyrin phosphorescent probe in two model systems,” Biophys. J., 78 2597 –2605 (2000). 0006-3495 Google Scholar

34. 

Q. Chen, M. Chopp, L. Madigan, M. O. Dereski, and F. W. Hetzel, “Damage threshold of normal rat brain in photodynamic therapy,” Photochem. Photobiol., 64 163 –167 (1996). https://doi.org/10.1111/j.1751-1097.1996.tb02437.x 0031-8655 Google Scholar

35. 

B. W. Pogue, L. Lilge, M. S. Patterson, B. C. Wilson, and T. Hasan, “Absorbed photodynamic dose from pulsed versus continuous wave light examined with tissue-simulating dosimeters,” Appl. Opt., 36 (28), 7257 –7269 (1997). 0003-6935 Google Scholar

36. 

T. J. Farrell, B. C. Wilson, M. S. Patterson, and M. C. Olivo, “Comparison of the in vivo photodynamic threshold dose for photofrin mono- and tetrasulfonated aluminum phthalocyanine using a rat liver model,” Photochem. Photobiol., 68 394 –399 (1998). https://doi.org/10.1111/j.1751-1097.1998.tb09698.x 0031-8655 Google Scholar

37. 

S. K. Bisland, L. Lilge, A. Lin, R. Rusnov, and B. C. Wilson, “Metronomic photodynamic therapy as a new paradigm for photodynamic therapy: rationale and preclinical evaluation of technical feasibility for treating malignant brain tumors,” Photochem. Photobiol., 80 22 –30 (2004). https://doi.org/10.1562/2004-03-05-RA-100.1 0031-8655 Google Scholar

38. 

A. Bogaards, A. Varma, K. Zhang, D. Zach, L. Lilge, P. J. Muller, and B. C. Wilson, “Fluorescence image-guided brain tumour resection with adjuvant metronomic photodynamic therapy: pre-clinical model and technology development,” Photochem. Photobiol. Sci., 4 (5), 438 –442 (2005). https://doi.org/10.1039/b414829k 1474-905X Google Scholar

39. 

P. S. Thong, F. Watt, M. Q. Ren, P. H. Tan, K. C. Soo, and M. Olivo, “Hypericin-photodynamic therapy (PDT) using an alternative treatment regime suitable for multi-fraction PDT,” J. Photochem. Photobiol., B, 82 (1), 1 –8 (2006). https://doi.org/10.1016/j.jphotobiol.2005.08.002 1011-1344 Google Scholar

40. 

L. Harrison and K. Blackwell, “Hypoxia and anemia: factors in decreased sensitivity to radiation therapy and chemotherapy?,” Oncologist, 9 (5), 31 –40 (2004). 1083-7159 Google Scholar
©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
Yanchun Wei, Xing Da, Shiming Luo, Wei Xu, and Qun Chen "Monitoring singlet oxygen in situ with delayed chemiluminescence to deduce the effect of photodynamic therapy," Journal of Biomedical Optics 13(2), 024023 (1 March 2008). https://doi.org/10.1117/1.2904961
Published: 1 March 2008
Lens.org Logo
CITATIONS
Cited by 12 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Photodynamic therapy

Skin

Oxygen

Luminescence

In vivo imaging

Chemiluminescence

Tissue optics

Back to Top