00-f5 Title and Logo 00-f6
 guide Contents
 siteinfo Site Info


Chapter 5

05-01
Chemical Shift

05-02
Phosphorus MRS

05-03
MRS of Other Nuclei

Proton MRS
Carbon MRS
Fluorine MRS
Sodium MRS
Potassium MRS
05-04
Localized In Vivo MRS

Stimulated Echo MRS
Point-Resolved MRS
Image-Selected MRS
05-05
Chemical Shift Imaging


05-02 Phosphorus Spectroscopy

Although it is very easy to see fat and wa­ter in a spectrum of tissue it is not very in­ter­est­ing from a medical point of view, and in fact the signals of the fat and water are so large that it can be very difficult to see the interesting metabolites. There­fore, it is not too surprising to learn that early MRS studies tended to con­cen­trate on other nuclei, and the most popular was ³¹P.

At a given magnetic field, the resonance frequency of ³¹P will be ap­pro­xi­ma­tely 0.405 that of ¹H, so that at 2.35 Tesla ¹H has a resonance frequency of 100 MHz and ³¹P has a resonance frequency of 40.5 MHz. It is obvious then that a ³¹P trans­mit­ter or receiver coil will have to be tuned to a very different fre­quen­cy range than a ¹H transmitter or receiver coil, so that there is no possibility of de­tec­ting the wrong nucleus.


³¹P has a wide chemical shift range due to the wide range of chemical bonds which can be formed to phos­pho­rus (Figure 05-03). However, the chemicals which are of interest in bio­lo­gi­cal studies fall within a much smaller range of chemical shift (about 25 ppm; see also Table 05- 01).


Table 05-01:
List of chemicals and their abbreviations frequently used in MR spectroscopy.



Figure 05-03:
(a) An overview of the resonance frequencies of a number of nuclei relative to ¹H. (b) An ex­pan­sion of the frequency region where phosphorus nuclei give rise to signals. (c) A further expansion of the frequency region showing where phosphorus-containing molecules of bio­lo­gi­cal interest give rise to signals.


The metabolites which can typically be seen in in vivo spectra are phospho­creatine (PCr, important in energy metabolism), inorganic phosphate (Pi), phos­pho­mo­no­esters (PME, including sugar phosphates like glucose-6-phos­phate), phos­pho­di­esters (PDE, which can include lipid precursors like phos­phoryl-choline and phos­phoryl-ethanolamine, and lipids themselves) and adenosine-triphosphate (ATP, which has a central role in energy metabolism).

Apart from ATP, all of these metabolites just have one phosphorus atom per mo­le­cule so that there is only one resonance or peak per molecule. This makes the spec­tra relatively simple to interpret, but it can also be a drawback if the cells have a number of chemically similar phosphorus-containing molecules. Thus, it is very difficult to distinguish between glucose-6-phosphate, fructose-6-phosphate, and other hexose-6-phosphates since all peaks tend to overlap. This is a general prob­lem in spectroscopy; the ability to distinguish between peaks is called resolution, and if two signals have a big enough difference in chemical shift so that they can be seen as two peaks, then they are said to be resolved.

ATP is different from the other molecules mentioned so far because it has three phosphorus atoms in each molecule. The α-phosphate has an adenosine group on one side and a phosphate group on the other; the β-phosphate has a phosphate group on each side; and the γ-phosphate has a phosphate group on one side of it. Thus, the three phosphorus atoms are chemically distinct and we see three lines in the ³¹P spectrum of ATP.

Figure 05-04 shows the ³¹P spectra of a human leg muscle and a human brain. The two spectra look very different, although most of the signals are present in both spectra. One difference is that the peak line widths are relatively narrow in the leg spectrum, whereas they are relatively broad in the head spectrum. This is due to the different physical environments experienced by the molecules in brain and muscle tissue.


Figure 05-04:
(a) ³¹P spectrum of a human brain;
(b) ³¹P spectrum of a human leg muscle.

The different concentrations of phos­pho­rus metabolites in the two tis­sues affect the re­la­tive peak area, and the different phy­si­cal environments of the metabolites in the tis­sues affect the widths of the peaks.


However, the concentration of a metabolite detected in an NMR experiment is proportional to the area under a peak and not just the peak height, so a tall, nar­row peak may not necessarily represent a higher concentration than a short, broad peak. Another difference between the spectra in this figure is the relative signal strengths of the phosphorus metabolites. The muscle spectrum is do­mi­na­ted by the PCr peak and the ATP peaks, whereas the brain spectrum is do­mi­na­ted by the very broad PDE peak, with quite strong signals from PCr and ATP as well.

A good selection of articles about ³¹P spectroscopy can be found in Matson's and Weiner's review [⇒ Matson], and information about applications can be found in Rubaek Danielsen’s and Ross’ book [⇒ Rubaeck].


spaceholder 600 The spectra in Figure 05-04 reflect "snapshots" of the metabolic state of a tissue, but magnetic resonance spectroscopy can also be used to follow changes in metabolism over a period as short as a few minutes or as long as several weeks or even months.

Figure 05-05 contains a series of ³¹P spectra of a human calf muscle taken every 90 seconds. During the first three minutes, the muscle was at rest, then the muscle was exercised for 7.5 minutes during which the data acquisition was continued. Finally, spectra were collected for a further twelve minutes as the muscle was recovering. The spectra were plotted to emphasize changes in PCr and Pi. They demonstrate very nicely how PCr is used in the muscle during exercise to maintain the ATP at a constant level; the PCr peak declined, but there was no change in the ATP peaks. The increased Pi level following the hydrolysis of PCr to Cr and Pi du­ring exercise can also be seen in the spectra. With such good time resolution, it is possible to measure the rate of change of the metabolites as well as the size of the changes.


Figure 05-05:
A time-series of ³¹P spectra of a human calf muscle showing how exercise and recovery affect the phosphorus me­ta­bo­li­tes. Each 90 seconds a new spectrum was acquired [⇒ Timm].
Green = rest; red = beginning of exercise; magenta = beginning of recovery.


Spectroscopy can also be used to follow changes over periods of days or weeks, e.g., monitoring the response of a tumor to therapy [⇒ Southon].

The advantages of ³¹P MRS are that phosphorus containing metabolites play an important role in energy metabolism, and they occur in reasonably high con­cen­tra­tions, particularly in muscle tissue, but also in brain and liver, for example. One disadvantage of ³¹P MRS is that it gives a relatively poor dis­cri­mi­na­tion of me­ta­bo­li­tes in vivo. There might be in the order of 10 different me­ta­bo­li­tes contributing to the PME peak of an in vivo spectrum but the peaks all overlap each other so that the individual metabolites cannot be distinguished.

Another problem with ³¹P is that outside the major energy metabolites the sig­nals are either too broad to detect, for example phospholipids, or too weak to de­tect, for example the phosphorylated intermediates of glycolysis, or there are no phosphorus containing metabolites to detect, for example Krebs'-cycle in­ter­me­di­ates, amino acids, lipids, sugars, etc.. This means that other nuclei need to be used to study these non-phosphorus containing metabolites.

spaceholder 600 spaceholder 600

LogoTop
LogoBottom
space
00-f1
space
00-f2
space
00-f3
space
00-f4
space
00-f7
space
00-f1
space
00-f2
space
00-f3
space
00-f4
space
00-f7
space
00-f1
space
00-f2
space
00-f3
space
00-f4
space
00-f7
space
00-f1