Abstract
The measurement of extracellular pH (pHe) has significant clinical value for pathological diagnoses and for monitoring the effects of pH-altering therapies. One of the major problems of measuring pHe with a relaxation-based MRI contrast agent is that the longitudinal relaxivity depends on both pH and the concentration of the agent, requiring the use of a second pH-unresponsive agent to measure the concentration. Here we tested the feasibility of measuring pH with a relaxation-based dendritic MRI contrast agent in a concentration-independent manner at clinically relevant field strengths. The transverse and longitudinal relaxation times in solutions of the contrast agent (GdDOTA-4AmP)44-G5, a G5–PAMAM dendrimer-based MRI contrast agent in water, were measured at 3 T and 7 T magnetic field strengths as a function of pH. At 3 T, longitudinal relaxivity (r1) increased from 7.91 to 9.65 mM−1 s−1 (on a per Gd3+ basis) on changing pH from 8.84 to 6.35. At 7 T, r1 relaxivity showed pH response, albeit at lower mean values; transverse relaxivity (r2) remained independent of pH and magnetic field strengths. The longitudinal relaxivity of (GdDOTA-4AmP)44-G5 exhibited a strong and reversible pH dependence. The ratio of relaxation rates R2/R1 also showed a linear relationship in a pH-responsive manner, and this pH response was independent of the absolute concentration of (GdDOTA-4AmP)44-G5 agent. Importantly, the nanoprobe (GdDOTA-4AmP)44-G5 shows pH response in the range commonly found in the microenvironment of solid tumors.
Keywords: responsive agent, noninvasive pH measurement, magnetic resonance imaging, dendritic agent
1. INTRODUCTION
The extracellular tumor microenvironment is characterized by an acidic pH (denoted pHe to identify it as the extracellular pH), and an intracellular pHi (1–5) that is neutral to alkaline. A similar transcellular pH gradient is not observed in normal tissues. Contributing factors to an acidic tumor pHe are increased glycolysis, even in the presence of sufficient oxygen (the Warburg effect) (6). Hydrolysis of ATP is also a significant contributor to acidosis in tumors during acute hypoxia. The tumor microenvironment is intrinsically acidic, mainly due to accumulation of lactic acid as a result of increased aerobic and anaerobic glycolysis by tumor cells (7,8). Poor tissue perfusion and reduced buffering capacity in the extracellular tumor microenvironment aggravates the decrease in tumor pHe (9,10). A lower pHe in tumors has been correlated with increased gene mutation (11) and gene rearrangement rates (12,13), and altered gene expressions (14–21) that can lead to spontaneous transformation of non-metastatic tumors into metastatic tumors (22–26). A lower tumor pHe can cause ion trapping and provide resistance to chemotherapies that act as weak bases (27–30), such as doxorubicin (31). In some cases, the lower tumor pHe can enhance the efficacy of chemotherapies that act as weak acids (32–35). Thus, a method to estimate tissue pH that could both point to potentially resistant cases, and guide supplementary therapeutic strategies, might significantly improve clinical outcomes.
Previous work has shown that magnetic resonance imaging (MRI) can map pHe throughout a tumor volume at high spatial resolution with good detection sensitivity in clinically reasonable time frames (36–38). However, the change in T1 relaxation caused by a pH-responsive MRI contrast agent can also depend on the concentration of the agent. The tissue concentration of a pH-responsive agent can be estimated by using a second pH-unresponsive agent as a surrogate (36). However, this serial injection substantially prolongs the time of the study, a major disadvantage for clinical translation. Although a pH-unresponsive T2* relaxation contrast agent can be co-injected with a pH-responsive T1 relaxation contrast agent, and the different T2* and T1 effects can then be used to selectively detect each agent within the same tumor tissue, the strong correlations between T1 relaxation and T2* relaxation create difficulties in quantifying each agent in the same tissue, making this approach extremely challenging (39). In brief, a concentration-independent technique for estimating tissue pH would significantly improve efforts to estimate pHe by changes in T1 relaxation rates.
To quantify the agent’s concentration, the positron emission tomography (PET) isotope F-18 has been incorporated with a pH-responsive relaxation agent (GdDOTA-4AmP5−) to measure pH in vitro (40). PET was used to quantify the concentration of relaxation-based pH-responsive MRI probe (GdDOTA-4AmP5−). This approach required a multimodal MR-PET device, and reduced spatial resolution to that of the PET scanner. The 19F/1H ratiometric method has also been used to measure pH (41). 19FMRS also suffers from coarse resolution and lack of clinically available MRI coils.
Recently, small molecule CEST and PARACEST contrast agents have been used to estimate in vivo pH by taking the ratio of the CEST effect from two different chemical shifts originating from the same molecule. Although these MRI CEST methods appear promising, they suffer from the low detection sensitivity of CEST agents in an in vivo application (42,43).
A concentration-independent method for the (GdDOTA)33-poly-L-ornithine macromolecular MRI contrast agent has been proposed (44). This method used the ratio of R1 and R2 relaxation rates, which is independent of concentration, but sensitive to pH for a macromolecular system. However, (GdDOTA)33-poly-L-ornithine is sensitive only to a pH greater than 7, and shows limited dynamic range and sensitivity in the pH range from pH 6.5 to 8, the range most relevant in vivo to tumor physiology.
A macromolecule is needed that is pH sensitive in the range 6.5–8, and with an R2/R1 ratio that has a linear relationship to pHe, independent of Gd3+ concentration. Previously, we succeeded in synthesizing a nanoscale, pH-responsive MRI contrast agent (Fig. 1) (45). Conjugation of the small molecule pH-responsive agent GdDOTA-4AmP5− to the surface amines of a Generation 5 (G5) PAMAM dendrimer improved T1 relaxivity with pH significantly at 0.5 T, 25 °C. Importantly, the nanoprobe (GdDOTA-4AmP5−)96-G5 showed pH response in the physiological range of 6.0–8.0.
In this report, we present (GdDOTA-4AmP5−)44-G5, a modified version of the previous G5 PAMAM dendrimer. This new compound has a reduced negative surface charge, thus higher biocompatibility, and a higher potential for drug conjugation than previous compounds, thus improving its theranostic potential. For a relevant in vivo application in preclinical models, it is necessary to investigate pH response at the higher field strengths, where animals are usually scanned. In this report, we study the longitudinal and the transverse relaxation properties of this (GdDOTA-4AmP5−)44-G5 conjugate at 3 T and 7 T.
2. RESULTS AND DISCUSSION
A pH-responsive GdDOTA-4AmP5− analogue was conjugated to the surface amines of a G5-PAMAM dendrimer via an isothiocyanatobenzyl group using methods previously reported (45). In that report, we conjugated 96 (GdDOTA-4AmP5−) chelates on the surface of a G5 PAMAM dendrimer, thus leading to a highly negative charged paramagnetic nanoparticle. The present study presents a modification of that synthetic method. A MALDI-TOF analysis showed an average of 44 (GdDOTA-4AmP5−) chelates in the nanostructure (Supplementary Fig. 1). The GdDOTA-4AmP5− complex has four appended phosphonate groups, with variable pKa values ranging from 6.0 to 8.0 (37,38). When the protons of the phosphonate group dissociate at their respective pKa values, the chelate gains a negative charge up to a value of −5, while it has either neutral or positive charge below these pKa values (38). That is to say, a phosphonate-based MRI contrast agent has charge reversal properties.
We observed the pH response of this dendrimeric agent. The absolute detection sensitivity of the nanoscale MRI contrast agent showed a robust improvement relative to the monomeric agent (38) at 3 T. The average r1 relaxivity of Gd44-G5 conjugate per dendrimer was a sizable 348 mM−1 s−1 at pH 8.84, rising to 425 mM−1 s−1 at pH 6.35 (Fig. 2). At 7 T, the r1 relaxivity of Gd44-G5 decreased significantly for all pH values (Fig. 2); this is the typical behavior of the r1 relaxivity of large molecules with increasing field strength (46). Nevertheless, compared with the monomer, the r1 relaxivity of Gd44-G5 still showed pH response at high field strength (38), and the detection sensitivity of the Gd44-G5 dendrimeric conjugate improved by a factor of two at 3 T for all pH values. Thus, compared with a monomeric agent, a lower injection dose of Gd44-G5 dendrimeric conjugate will be required for in vivo applications. GdDOTA-4Amp has been tested in biological fluid (40). In the presence of Ca(II), Cu(II), and Zn(II) ions (38) there was no change in pH-dependent relaxivity profiles. In addition, the agent has been applied in tissues (47), perfused tissues or organs or in vivo (48), with the result that GdDOTA-4AmP did not interact in biological fluids or in the presence of ions.
The r1 relaxivity of Gd44-G5 showed pH response at both field strengths, while r2 relaxivity remained independent of pH and magnetic field strength (Fig. 2). The R2 values at 3 T were not significantly larger than those at 7 T, and the r2 profiles (slopes) at the two field strengths were essentially the same. As for r1 versus pH, the slopes of r1 versus pH at 3 T and 7 T are essentially the same.
The pH-responsive r1 relaxation properties of GdDOTA-4AmP5− were first reported by the Sherry group (38). This agent responds to pH by changes in proton exchange (variable τM). The compound has four appended phosphonate groups that have pKa values in the range 6.0–8 (37,38), and as these phosphonate groups become protonated below pH ≈ 8 the monoprotonated phosphonate groups hydrogen bond (38) with the single Gd3+-bound water molecule and catalytically exchange the highly relaxed bound water protons with protons of bulk water (45). To understand the origin of pH-sensitive r1 relaxation properties of dendrimer-based GdDOTA-4AmP conjugate, nuclear magnetic resonance dispersion (NMRD) profiles were studied in our previous report (45). NMRD profiles revealed that multiple factors are involved in pH sensing r1 relaxation properties of this agent. The pH response was the result of a complex interplay between the rate of proton exchange between the bulk solvent and water molecules in the inner and second hydration spheres (45). In contrast to r1 relaxation properties of (GdDOTA-4AmP)44-G5 agent, the r2 relaxation properties remain essentially independent of pH, as shown in Fig. 2. We did not observe a significant difference in r2 relaxation properties at either 3 T or 7 T, which is consistent with the reported r2 relaxation properties of manganese complexes (46).
Silvio Aime and co-workers (44) reported a novel method based on a ratiometric approach that consists of measuring the ratio between the transverse and the longitudinal paramagnetic contribution to the water proton relaxation rate, i.e. R2p/R1p of a macromolecule at magnetic field strength higher than 0.2 T. The ratio, R2p/R1p, of water protons becomes independent of Gd3+ concentration for a motionally restricted agent, (GdDOTA)33-poly-L-ornithine (τR > 1 ns), but remains dependent on τM, τR and other magnetic parameters that normally affect relaxation in these complexes. We applied this R2/R1 ratiometric approach to our dendrimer-based (Gd-DOTA-4AmP)44-G5 system.
In order to examine our hypothesis that (Gd-DOTA-4AmP)44-G5 measures pH as a single agent without knowledge of the agent’s concentration, we measured the ratio of R2 and R1 relaxation rates of (Gd-DOTA-4AmP)44-G5 at four different Gd3+ concentrations with three different pH values at 7 T (Fig. 3). For three concentrations, the mean values of R2/R1 are 8.24 ± 0.05, 8.98 ± 0.12, and 10.02 ± 0.05 for pH values of 6.96, 7.40, and 8.84, respectively. The slopes of the three plots of R2/R1 are 0.03 ± 0.06, −0.05 ± 0.15, and 0.08 ± 0.03, respectively. The slope of R2/R1 is significantly nonzero at the highest pH (pH = 8.84). However, this pH is outside the range of physiological value in tumors, and the variation across even the range of concentrations reported is only about 6%. Thus, we conclude that the R2/R1 ratio is essentially independent of concentration for each pH value.
In order to further examine the ratiometric approach, R1, R2, and R2/R1 (Fig. 4(A)–(C), respectively) maps for six different pH values at 7 T for a given Gd3+ concentration were generated. The ratio of R2/R1 maps of the phantoms containing solutions of different pH with added (Gd-DOTA-4AmP)44-G5 were plotted versus pH for both 7 T and 3 T data, along with the 95% confidence intervals for their regressions. Figure 5 demonstrates that the ratio R2/R1 was pH responsive at both field strengths. The two slopes are 1.18 ± 0.11 and 0.330 ± 0.091 for 7 T and 3 T curves, respectively, and the y-intercepts are −0.36 ± 0.81 and −0.94 ± 0.69, again for 7 T and 3 T. Neither of the intercepts is significantly different from zero. The ratio R2/R1 increased from 3.23 to 4.05 and from 7.04 to 10 pH units, at 3 T and 7 T respectively, on changing the solution pH from 6.35 to 8.84. It is apparent that the accuracy of the 3 T methods is lower than that of the 7 T methods. We do not believe this to be intrinsic to the field strengths, but it is clear that a careful calibration of both T1 and T2 methods, particularly with regard to flip angles, is required for accuracy in reading out the ratio of R2/R1 as an estimate of pH.
3. CONCLUSION
In this study, a novel pH-responsive dendrimer-based MRI contrast agent (Gd-DOTA-4AmP)44-G5 was evaluated as a potential pH imaging agent at 3 T and 7 T magnetic field strengths. In general, the compound exhibited good dynamic range in a concentration-independent parameter (R2/R1) across physiologically significant pH values. The improvement of R2/R1 values for this nanostructure, 1.19 per pH unit, is almost double that of the previously reported R2/R1 values for a ratiometric pH-responsive probe (44). These findings support the expectation that the agent can be used to estimate tumor pH in vivo by means of estimates of changes in the R2/R1 ratio after administration of (Gd-DOTA-4AmP)44-G5. The ratiometric approach to measure pH does not require knowledge of the concentration of the agent. (Gd-DOTA-4AmP)44-G5 with T1 and T2 effects constitutes a single MRI contrast agent that can accurately measure pHe in a concentration-independent manner at clinically relevant magnetic field strengths.
4. EXPERIMENT
4.1. Synthesis
We have synthesized a modified version of the pH-responsive MRI nanoprobe GdDOTA-4AmP-G5 by following our published synthetic method (45). The final conjugate was purified by diafiltration using a Centricon C-30 cell with a 30 kDa molecular weight cut-off, after which the solvents were removed by lyophilization to afford a colorless solid (0.19 g). The MW of the p-SCN-DOTA-4AmPE conjugated G5 dendrimer was estimated at 79 082 g/mole by MALDI-TOF analysis (Supplementary Fig. 1). This corresponds to a G5-dendrimer with an average of 44 chelated Gd3+ ions per dendrimer. The number of chelates per dendrimer unit was also obtained using the same method as in our previous report (45). To examine our hypothesis, we prepared phantoms of [(GdDOTA-4AmP)44-G5] at four or five different concentrations with six different pH values. Gd3+ concentration was determined by ICP analyses.
4.2. MRI Methods
MRI experiments were performed on a 3.0 T clinical system (Signa Excite, GE Health) using 50 mm diameter × 108 mm RF rung length (Litzcage small animal imaging system, Doty Scientific, Columbia, SC). Multi-echo T2-weighted (T2W) images and T1-weighted (T1W) images using three dimensional spoiled gradient echo (3D SPGR) were acquired. T2W images were obtained using standard two-dimensional Fourier transformation (2DFT) multi-slice (15 slices) multi-echo MRI sequences with an echo time (TE) of 11, 22, 33, and 44 ms and a repetition time (TR) of 2000 ms, field of view (FOV) of 30 mm, 1mmslice thickness, and matrix size of 128 × 128. The T1W images were acquired using 3D SPGR with the following parameters: TR = 9.46ms, TE = 1.732ms, 128 × 128 matrix size, FOV = 40 × 40 × 40 mm3, effective slice thickness = 1 mm, and flip angles = 2°, 4°, 8°, 12°, 15°, 20°, 25°, 30°, 35°. The R2 (1/T2) maps were calculated from the acquired T2W images at eight different TE values using a log-linear least square fit on a pixel-by-pixel basis by following the reported method (49). The T1 maps were calculated from the acquired T1W images at nine different flip angles using a linear least square fit (on a pixel-by-pixel basis) (50). The calculated value of T1 was inverted to generate the R1 map.
For measurements of T1 and T2 relaxation times on a 7 T Varian system, axial spin echo (SE) sequences were obtained with multiple TR (50, 100, 200, 300, 500, 750, 1000, 1500, 2000, 3000, and 5500 ms) and TE (8.4, 16.8, 25.2, and 33.6 ms) values. All sequences were acquired with FOV = 24 mm2, matrix size = 128 × 64, one slice, thickness = 1 mm, and NEX = 1. MR images were transferred to an off-line server and reconstructed using home-written software. T1 and T2 maps of the samples were calculated by fitting the appropriate relaxation equation to the image data, assuming monoexponential signal decay (for both T1 and T2) on a pixel-by-pixel basis. For T1 maps, all echoes were summed for each TR and then fitted using the equation Mz(t) = M0[1 − exp(TR/T1)]. T2 maps were generated by summing data across all TR values, and then fitting the summed values using the equation Mxy(t) = M0[exp(−TE/T2)]. The longitudinal and transverse relaxation times of the Gd44-G5 in solution were then measured in ROIs selected in the calculated sample maps.
Supplementary Material
Acknowledgements
The authors acknowledge research support from the National Institutes of Health (NIH) grants K25CA129173 (to MMA) and 1R01CA160216 (to ASA). We thank Professor Mark D. Pagel for helpful discussion.
Footnotes
Additional supporting information may be found in the online version at the publisher’s web site.
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