Contents 1 MRI Data Processing 1.1 The Principle 1.2 Processing 1.3 Methods 1.4 Results 1.5 Conclusion 1.6 References

MRI Data Processing

Until recently, the most common way of generating MRI contrast was by using heavy metal based contrast agents. Examples of these substances are the commercial Gadolinium(III) based Magnevist and the Iron Oxide based Resovist. A very obvious downside of using heavy metals is the toxicity of the agents in the human body. Fortunately, a new type of MRI has been developed, which allows for the use of organic compounds as contrast agent.

The Principle

This new type of MRI goes by the name Chemical Exchange Saturation Transfer MRI or CEST MRIvanZijlCESTvan Zijl, Peter, and Nirbhay N. Yadav., Chemical exchange saturation transfer (CEST): what is in a name and what isn't?.. Magnetic Resonance in Medicine 65.4, 8927-948 (2011)LiuCESTLiu, Guanshu, et al., Nuts and bolts of chemical exchange saturation transfer MRI.. NMR in Biomedicine , (2013)GiladGeneGilad, Assaf A., et al., MRI reporter genes.. Journal of Nuclear Medicine 49.12, 1905-1908 (2008). The principle behind this technique is based on compounds that contain pools of exchangeable protons that can be selectively saturated using radiofrequency irradiation. Upon proton exchange with bulk water, these compounds can be indirectly visualized by measuring the bulk water. The amino acids lysine, arginine, threonine and serine contain those exchangeable protons and polypeptides containing those amino acids in abundance are therefore potential contrast agents GoffeneyCESTGoffeney, Nicholas, et al., Sensitive NMR detection of cationic-polymer-based gene delivery systems using saturation transfer via proton exchange.. Journal of the American Chemical Society 123.35, 8628-8629 (2001) GiladCESTGilad, Assaf A., et al., Artificial reporter gene providing MRI contrast based on proton exchange.. Nature biotechnology 25.2, 217-219 (2007). An other advantage of CEST MRI is that different kind of protons (e.g. amide and hydroxide protons) can be distinguished, which allows for 'multi-color' imaging using multiple contrast agents simultaneously McMahonMulticolorMcMahon, Michael T., et al., New 'multicolor' polypeptide diamagnetic chemical exchange saturation transfer (DIACEST) contrast agents for MRI.. Magnetic Resonance in Medicine 60.4, 803-812 (2008).

Processing

To detect these protons in bulk water some processing steps are required. First of all, the imaging should be taken at different frequencies of the saturation pulse. This way the signal at different chemical shifts can be measured. When bulk water is set to 0 ppm, the signal plot will be roughly symmetric around zero, since saturation pulses will excite the bulk water in a similar way when the absolute shift is equal. This also implies that when the signals with a negative shift from the bulk water are compared with the signals with a positive shift, asymmetry can be detected. The CEST effect is exactly what causes asymmetry in the signal plot, because the chemical shift of the CEST compounds is different from the chemical shift of water. Therefore, when the absolute shift from bulk water of two saturation pulses is equal, this does not mean the absolute shift from the CEST compound is equal and the CEST protons will in one case get barely saturated (depending on its shift from bulk water of course).

 

Putting this principle into practice requires some processing steps. First of all, the asymmetric comparison should be conducted as shown in . Where the MTR_asym is the asymmetry in the z-spectrum. Furthermore, $S_{0}$ and $S_{w}^{\pm\Delta\omega_{sw}}$ are, respectively, the water signals without saturation and with saturation at $\Delta\omega_{sw}$ from bulk water. The PTR is the Proton Transfer Enhancement, which gives an indication of the sensitivity of an agent, independent of the concentration. In this research, the concentration was not measured accurately, but the mass of cell pellet was aimed to be kept constant, so the MTR_asym plots can still be compared quite well.

To eliminate the background signal of other lysine and arginine rich proteins, the asymmetric plots of the potential agents were compared to the asymmetric plots of the control sample, where no protein was overexpressed. In practice this can be compared to using an MRI image of human tissue without contrast agent as control for an image of tissue with contrast agent. This comparison was done in two different ways, one option results in the absolute difference compared to the control sample. The other method is relatively comparing the samples ().

Methods

This theory can be used to scan our library of potential contrast agents ([Team:TU-Eindhoven/Production | Protein Selection]). Hereto the proteins were (aerobically) overexpressed in BL21 using a pET28a vector with a T7 promotor. The bacteria were spun down and fixed in PFA. The whole pellet was then measured in a 7 T Bruker MRI machine. First, the correct water frequency was determined, the machine was shimmed, i.e. a homogeneous magnetic field was created. The first measurement was a T₂ weighed image for general orientation. Subsequentlylocal shimming was performed on each of the separate pellets. For the final measurements, the saturation pulse was set to vary from $\pm -4 ppm$ to $\pm +4 ppm$ (relative to water), the measurements were averaged over 8 separate scans. Also a $S_{0}$ (without saturation pulse) image was taken.

Results

When the previously described processing steps are applied to the MRI results of this research, the following graphs can be acquired. shows the MTR_asym, $C_{abs}$ (Absolute Difference) and $C_{rel}$ (Relative Difference) graphs for all potential contrast agents that were tested.

Lysine protons are predicted to show contrast at a shift of $\pm 3.7 ppm$ whereas arginine should produce contrast at $\pm 2.0 ppm$. Using this information it can be readily seen that 1PJN and Poly(KS) both exhibit (lysine-)CEST contrast. It should be noted that for more reliable results, more control samples should be taken into account. Furthermore the determination of the concentration of the agents should be carried out more precisely. However, due to the strange nature of the proteins, this has shown to be rather hard in practice. But even using one control sample, quite clear results were achieved for the lysine contrast. shows the calculated contrasts (both absolute and relative) and the lysine ratio of the agents, which gives an indication of how much contrast to expect. Here the agents with a high lysine ratio express high lysine contrast, which is according to expectations. However, the high contrast of Poly(TK) could be caused by other factors, since the contrast graphs in do not show clear peaks at $\pm 3.7 ppm$. For arginine contrast, it is not that simple. The peak is expected at $\pm 2.0 ppm$, which is considerably closer to the frequency of bulk water and is therefore more sensitive to noise. The same analysis as for lysine is shown in , but here no clear correlation can be seen. However, looking at the graphs in some peaks can be seen around 2.0 ppm, but no good conclusions can be drawn, since the arginine protons can not be satisfactory distinguished from the rest of the protons.

 

Conclusion

All in all, the most promising candidate agent seems to be 1PJN. The lysine peak of this agent is very clearly distinguishable from the rest of the signal. As a arginine based compound, no clear results have been achieved and therefore no good recommendation can be given, except that the arginine based agents are less suitable for generating contrast in general. Therefore, it is recommended to use lysine based agents, such as 1PJN, only for multi-color MRI or imaging lysine rich areas arginine agents can be useful. Another conclusion that can be drawn from the MRI results, is that Poly(KS) has actually been expressed in the bacteria. This is contradictory to the other lab results, where no traces of Poly(KS) on SDS-Page gels were found. The most obvious explanation for these results, is that only a very small part of the Poly(KS) chain was created, which is to be expected due to the largely repetitive and non-optimal DNA of the construct.

References