Hydrophilic Cyanine Dyes as Contrast Agents for Near-infrared Tumor Imaging: Synthesis, Photophysical Properties and Spectroscopic In vivo Characterization ¶
ABSTRACT We have synthesized a group of glucamine and gluosamine-substituted cyanine dyes structurally related to indocyanine green (ICG) and have characterized these compounds with regard to their potential as contrast agents for biomedical optical imaging. The compounds reported herein exhibit increased hydrophilicity and less plasma protein binding (< 50%), and are thus expected to have different pharmacokinetic properties compared with ICG. Furthermore, we measured enhanced fluorescence quantum yields (7-15%) in a physiological environment with respect to ICG. For the derivative with the highest hydrophilicity (5a) the efflux from tumor and normal tissue was monitored by intensity-modulated diffuse optical spectroscopy after intravenous injection into tumor-bearing rats. In comparison with ICG, 5a exhibited a considerably enhanced tissue-efflux half-life (73 min versus less than 10 min for ICG in tumor tissue), a two-fold higher initial tissue absorption coefficient compared to ICG, and finally, it generated an elevated tumor-to-tissue concentration gradient up to 1 h after injection. In conclusion, compounds such as 5a are promising contrast agents for optical imaging, and could facilitate highly sensitive and specific detection of breast cancer or other malignancies by utilizing mechanisms similar to contrast-enhanced magnetic resonance imaging or computerized tomography.
- SourceAvailable from: Colby Shemesh
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- "Of course limitations in the feasibility of a localized photodynamic therapy exist due to very limited effects over 10 mm within tissue. However, ICG itself is not suitable for cancer treatment because of its very short circulation halflife  and low in vivo photo stability . We attempted to address this issue by developing thermosensitive liposomes to formulate ICG as the photosensitizer in PDT. "
ABSTRACT: Background The goal of the current research is to evaluate the potential of photodynamic therapy (PDT) in the treatment of triple negative breast cancer (TNBC) with the development of a theranostic thermosensitive liposome platform to deliver indocyanine green (ICG) as the near-infrared (NIR) photosensitizer excited by an 808 nm diode laser. Methods In the PDT protocol, an optimized thermosensitive liposome formulation is investigated to formulate ICG as the photosensitizer, which is exited by laser light at the wavelength of 808 nm delivered by a fiber-coupled laser system. ICG in both free solution and thermosensitive liposomal formulation were evaluated as the NIR photosensitizer and compared in the PDT treatment on a panel of triple negative breast cancer cell lines along with the nontumorigenic mammary epithelial cell line MCF-10A. In addition to cytotoxicity, and clonogenic survival assessment, the role of DNA double strand break damage was evaluated. Results Both MTT and clonogenic assays revealed that PDT using ICG inhibited the growth of several TNBC cell lines as well as the non-tumorigenic human breast epithelial cell line MCF-10A; and the liposomal formulation of ICG did not compromise the in vitro treatment potency, though free ICG performed slightly more effective in certain cell lines, but was not statistically significant. Cell viability was dose dependent in regards to ICG concentration and irradiation energy. Interestingly, PDT using the described protocol was more potent to inhibit the growth of MDA-MB-468 and HCC-1806 cells, coinciding with the observation that these cells are more sensitive towards DNA damaging agents. In comparison, cell lines HCC-70, BT-549, and MCF-10A were found to have less of an inhibitory effect. Furthermore, substantial DNA double strand breaks (DSBs) were observed 30 minutes after the PDT treatment via a γ-H2AX staining assay. PDT induced DNA damage has the potential to lead to mutagenicity, which may have various responses depending on the repair capabilities of the cells. Conclusion Our results suggest that PDT using indocyanine green loaded liposomes were effective in inhibiting tumor cell growth to varying extents with higher responses observed for MDA-MB-468 and HCC-1806 cells.Photodiagnosis and photodynamic therapy 06/2014; 11(2). DOI:10.1016/j.pdpdt.2014.02.001 · 2.01 Impact Factor
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- "The design and synthesis of NIR dyes with high quantum yield and photostability has proven to be extremely challenging, due to the complex synthetic routes required for these large, complex molecules . The amplification of light from NIR fluorophores by coupling to metal nanostructures is a promising strategy for dramatically improving both the detection sensitivity and image enhancement, thereby realizing the potential advantages of the NIR fluorophores. "
ABSTRACT: Potential utilization of proteins for early detection and diagnosis of various diseases has drawn considerable interest in the development of protein-based detection techniques. Metal induced fluorescence enhancement offers the possibility of increasing the sensitivity of protein detection in clinical applications. We report the use of tunable plasmonic silver nanostructures for the fluorescence enhancement of a near-infrared (NIR) dye (Alexa Fluor 790). Extensive fluorescence enhancement of ∼2 orders of magnitude is obtained by the nanoscale control of the Ag nanostructure dimensions and interparticle distance. These Ag nanostructures also enhanced fluorescence from a dye with very high quantum yield (7.8 fold for Alexa Fluor 488, quantum efficiency (Qy) = 0.92). A combination of greatly enhanced excitation and an increased radiative decay rate, leading to an associated enhancement of the quantum efficiency leads to the large enhancement. These results show the potential of Ag nanostructures as metal induced fluorescence enhancement (MIFE) substrates for dyes in the NIR “biological window” as well as the visible region. Ag nanostructured arrays fabricated by colloidal lithography thus show great potential for NIR dye-based biosensing applications.Nano Research 07/2013; 6(7):496-510. DOI:10.1007/s12274-013-0327-5 · 7.01 Impact Factor
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- "This dye, however, is rapidly cleared from the blood by the liver, which limits its ability to reach a target. Compared with indocyanine green, cyanine dyes have been found to show better tissue uptake and slower clearance (21). "
ABSTRACT: To evaluate the potential and correlation between near-infrared fluorescence (NIRF) imaging using cyanine 5.5 conjugated with hydrophobically modified glycol chitosan nanoparticles (HGC-Cy5.5) and (18)F-fluorodeoxyglucose-positron emission tomography ((18)F-FDG-PET) imaging of collagen-induced arthritis (CIA). We used 10 CIA and 3 normal mice. Nine days after the injecting collagen twice, microPET imaging was performed 40 minutes after the intravenous injection of 9.3 MBq (18)F-FDG in 200 µL PBS. One day later, NIRF imaging was performed two hours after the intravenous injection of HGC-cy5.5 (5 mg/kg). We assessed the correlation between these two modalities in the knees and ankles of CIA mice. The mean standardized uptake values of (18)F-FDG for knees and ankles were 1.68 ± 0.76 and 0.79 ± 0.71, respectively, for CIA mice; and 0.57 ± 0.17 and 0.54 ± 0.20 respectively for control mice. From the NIRF images, the total photon counts per 30 mm(2) for knees and ankles were 2.32 ± 1.54 × 10(5) and 2.75 ± 1.51 × 10(5), respectively, for CIA mice, and 1.22 ± 0.27 × 10(5) and 0.88 ± 0.24 × 10(5), respectively, for control mice. These two modalities showed a moderate correlation for knees (r = 0.604, p = 0.005) and ankles (r = 0.464, p = 0.039). Moreover, both HGC-Cy5.5 (p = 0.002) and (18)F-FDG-PET (p = 0.005) imaging also showed statistically significant differences between CIA and normal mice. NIRF imaging using HGC-Cy5.5 was moderately correlated with (18)F-FDG-PET imaging in the CIA model. As such, HGC-Cy5.5 imaging can be used for the early detection of rheumatoid arthritis.Korean journal of radiology: official journal of the Korean Radiological Society 07/2012; 13(4):450-7. DOI:10.3348/kjr.2012.13.4.450 · 1.57 Impact Factor