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Journal of Lipid Research, Vol. 49, 473-480, February 2008
Localized proton magnetic resonance spectroscopy of lipids in adipose tissue at high spatial resolution in mice in vivo
* Institute of Radiopharmacy, Research Center Dresden-Rossendorf, Dresden, Germany Published, JLR Papers in Press, November 16, 2007.
1 To whom correspondence should be addressed. e-mail: k.strobel{at}fzd.de
We describe a localized proton magnetic resonance spectroscopy (1H-MRS) method for in vivo measurement of lipid composition in very small voxels (1.5 mm x 1.5 mm x 1.5 mm) in adipose tissue in mice. The method uses localized point-resolved spectroscopy to collect 1H spectra from voxels in intra-abdominal white adipose tissue (WAT) and brown adipose tissue (BAT) deposits. Nonlinear least-squares fits of the spectra in the frequency domain allow for accurate calculation of the relative amount of saturated, monounsaturated, and polyunsaturated fatty acids. All spectral data are corrected for spin-spin relaxation. The data show BAT of NMRI mice to be significantly different from BAT of NMRI nu/nu mice in all aspects except for the fraction of monounsaturated fatty acids (FM); for WAT, only the FM is different. BAT and WAT of NMRI mice differ in the amount of saturated and diunsaturated fatty acids. This method provides a potential tool for studying lipid metabolism in small animal models of disease during the initiation, progression, and manifestation of obesity-related disorders in vivo. Our results clearly demonstrate that localized 1H-MRS of adipose tissue in vivo is possible at high spatial resolution with voxel sizes down to 3.4 ml.
Supplementary key words adipocytes spin-spin relaxation time T2 exponential decay triglyceride triacylglycerol nuclear magnetic resonance Abbreviations: AUC, area under the curve; BAT, brown adipose tissue; FD, fraction of diunsaturated fatty acids; FM, fraction of monounsaturated fatty acids; FOV, field of view; FP, fraction of polyunsaturated fatty acids; FS, fraction of saturated fatty acids; FT, fraction of triunsaturated fatty acids; MCL, mean chain length; MRS, magnetic resonance spectroscopy; NEX, number of repetitions; PRESS, point-resolved spectroscopy; TE, echo time; TR, repetition time; WAT, white adipose tissue; WPF, water proton fraction
Noninvasive in vivo phenotyping of adipose tissue deposits in animal (rodent) models of disease during the initiation, progression, and manifestation of obesity and obesity-related disorders is a need in preclinical metabolic research (1). MRI and 1H-magnetic resonance spectroscopy (MRS) have been applied recently to provide information on i) the distribution of different fat deposits, ii) the total amount of fat in these deposits, and iii) deposit-specific fat composition in terms of the degree of polyunsaturation of the aliphatic lipid chains in small laboratory animals developing obesity (2–5). Furthermore, the disease-related presence and accumulation of lipids in other organs (e.g., liver, brain, and kidney) or in the skeletal musculature could be evaluated by these techniques in vivo (6–8). There is evidence that in rodent models, both white adipose tissue (WAT) and brown adipose tissue (BAT) are active participants in numerous physiological and pathophysiological processes (1). WAT is the physiological site of energy storage as lipids and for insulation purposes and the provision of a protective cushion. BAT is the primary site of nonshivering thermogenesis during cold acclimatization. The accumulation of excess WAT has been shown to play a crucial role in the development of cardiovascular, metabolic, and renal disorders, including insulin resistance, diabetes mellitus, hyperlipidemia, atherosclerosis, hypertension, and chronic renal disease, many of which are interdependent. On the other hand, BAT in rodents plays a significant role in preventing obesity and insulin resistance. In this regard, it has become clear that adipose tissue plays an extremely important role as a regulator of the flow of energy-providing substances. Indeed, it stores triacylglycerols but also is an efficient director of nonesterified fatty acids either into adipose tissue for storage or into the circulation as an energy supply for other tissues. Visceral fat, independent of other deposits or their amounts, plays an important role in modulating hepatic insulin action. In this line, adipose tissue distribution, lipid composition, levels of specific lipid oxidation products, and certain lipid metabolites play crucial roles (9). However, the detailed noninvasive measurement of these parameters in small laboratory animals is a challenge because of the small spatial dimensions of the target structures. Recently, great efforts have been undertaken to minimize the voxel size for spectroscopic measurements in adipose tissue at maximum information content (2–4, 6, 7). To date, voxel sizes down to 3 mm x 3 mm x 3 mm (27 ml) have been realized with localized spectroscopy methods (2), and sizes down to 2.5 mm x 2.5 mm x 6 mm (37.5 ml) have been realized using spectroscopic imaging (chemical shift imaging) techniques (3). In the present study, we evaluated an improved 1H-MRS method for in vivo measurements of lipid composition in adipose tissue deposits in mice with a voxel size minimized to 1.5 mm x 1.5 mm x 1.5 mm (3.4 ml) by preservation of complete spectral information using a 7 T small animal magnetic resonance tomograph. The method incorporates a correction for spin-spin relaxation. Corrected lipid spectra obtained from such small voxel sizes are a prerequisite for the detailed metabolic characterization and differentiation of small adipose tissue deposits or small regions within larger deposits in rodent models of disease.
Experimental Animal experiments are performed using 7–14 week old NMRI female mice (n = 4) and NMRI nu/nu female mice (n = 3) according to the guidelines of the German Regulations for Animal Welfare. The protocol (Verification of Prospective Radiopharmaceuticals) is approved by the local Ethical Committee for Animal Experiments. All animals are housed at constant temperature (24°C) with a 12 h light/dark cycle and free access to standard mouse chow and water. The animals are anesthetized with urethane (1.3 g/kg body weight). The animals under anesthesia are then positioned and immobilized prone inside the tomograph with either the thoracic or the abdominal region in the center of the field of view (FOV). After the measurements, animals are euthanized under urethane anesthesia by dislocation of the cervical vertebrae. Measurements are performed with a 7 T small animal magnetic resonance tomograph with a 30 cm bore (BioSpec® 70/30; Bruker BioSpin MRI GmbH, Ettlingen, Germany) equipped with a mini imaging gradient coil system (gradient strength, 400 mT/m) and a 1H transmit-receive quatrature coil with 72 mm inner diameter. Multislice, respiratory-gated, coronal (FOV = 6 cm x 6 cm, slice thickness = 1.5 mm) and transaxial (FOV = 4 cm x 4 cm, slice thickness = 1.2 mm) spin-echo images are collected with a repetition time (TR) of 480 ms, an echo time (TE) of 14.9 ms, a 256 x 256 data matrix, and a number of repetitions (NEX) of 4. We use a point-resolved spectroscopy (PRESS) sequence for localized 1H-MRS with TR = 1,800 ms, TE = 20 ms, and NEX = 100–1,000. This sequence uses a combination of magnetic field gradients and frequency-selective 180° pulses to select a three-dimensional voxel of well-defined position and size, whose spectrum is then collected and analyzed. For the measurement of the different adipose tissue deposits in mice, we select voxels of the size from 1.5 mm x 1.5 mm x 1.5 mm to 3 mm x 3 mm x 3 mm depending on the sizes of the fat deposit (Figs. 1 , 2) . A gradient strength up to 160 mT/m is used to achieve such small voxel sizes. Figures 1 and 2 also show the chemical shift displacement of the voxels between the water peak (thick black squares) and the lipid peak at 1.3 ppm (thin black squares) (Fig. 3 , Table 1 ). The spatial displacement ranges from 19% to 30% of the voxel sizes used in the PRESS sequence. Before measurement, the automatic shimming procedure FASTMAP (10) is used to achieve optimal uniformity of the magnetic field across the voxel volume. We use no water suppression in all PRESS sequences during measurement. The free induction decay signals are Fourier-transformed, and the phase and the baseline of the spectra are corrected using TOPSPIN (Bruker BioSpin MRI GmbH). The phase and baseline corrections have to be performed with great care, because the results are very sensitive to mismatches regarding these corrections. No line-broadening is applied to the spectral data.
Calibration of MRS data, calculation of lipid composition, and statistical analysis In Table 1, the nine peak positions of the different peaks (Fig. 3) are shown, which correlate with the different positions of the 1H in triacylglycerols. The contribution of nonesterified fatty acids to the measured signal is negligible, because the amount of them is very small (11). We use a localized PRESS sequence with a TR of 1.8 s and a series of different TEs to calculate the different spin-spin relaxation times (T2) of the single peaks inside a voxel of the abdominal region of the mice, NEX = 64, voxel size = 3 mm x 3 mm x 3 mm. The values of TE range from 12 to 50 ms, with fixed TE1 = 5.25 ms. All measurements are repeated five times for all TE values, including the shimming procedure with FASTMAP before each scan series. We determine T2 for nine different peaks (in the range from 0.9 to 5.32 ppm) by fitting the monoexponential model function MTE = M0 x exp(–TE/T2) to the measured peak integrals at the different TEs. Peak P3 is fitted from 12 to 20 ms, because the peak is not separable from the signal of peak P2 for TE > 20 ms. Peaks P7 and P8 are also fitted from 12 to 20 ms, because they are not separable from the signal of the water peak for TE > 20 ms. The water protons are not fully relaxed in our PRESS sequence, TR = 1.8 s, because the T1 relaxation time of water protons is nearly equal to TR. To correct the areas under the curves (AUCs) of the proton peaks for T1 relaxation, we also measured one spectrum in the fully relaxed state using TR = 10 s and one spectrum with TR = 1.8 s. From the difference between the two spectra, we get a correction factor of 1.29 for the water peak. The AUCs of the water protons are multiplied by this factor. The lipid peaks need no correction for T1 relaxation, because the T1 relaxation times are much shorter than TR (7). The AUCs are determined by nonlinear least-squares fitting of appropriate model functions (Gaussian and Lorentz curves). The fitting procedures are implemented using the R programming language (12). The regions from 0 to 3.5 ppm and from 3.5 to 6.0 ppm of the spectra are fitted separately. We use five to seven fitting curves for each region in the fitting algorithm.
From the AUCs (AUC1–AUC9) of the nine lipid peaks (P1–P9) and the AUC of the water proton peak (AUCW), the following properties of triacylglycerols are calculated. The fraction of unsaturated fatty acids is calculated as follows: dividing 1/4 x AUC4 (four protons are involved per fatty acid, producing the signal of P4; see Table 1) by 1/2 x AUC5 (two protons are involved per fatty acid, producing the signal of P5):
The water proton fraction (WPF) is defined as:
The statistical significance of differences between corrected and not corrected values, between NMRI and NMRI nu/nu mice, and between BAT and WAT is assessed using the nonparametric Mann-Whitney U-test. The Mann-Whitney U-test can be used to calculate P values for the significance of differences within groups of n1 = n2 = 4 and n1 = 3 versus n2 = 4 but not for n1 = n2 = 3. In all cases, the criterion of significance is P < 0.05.
The derived T2 relaxation times and the correction factors M0/MTE for TE = 20 ms for the PRESS sequence applied are summarized in Table 2. The T2 relaxation times for the nine different proton resonances of triacylglycerols range from 18.95 ± 4.00 ms to 51.43 ± 0.67 ms. The measured T2 relaxation times are slightly shorter than the true T2 relaxation times, because the PRESS sequence does not prevent the effects of diffusion and J-coupling (14, 15). These T2 values lead to correction factors M0/MTE for the integrals of the peaks ranging from 2.87 ± 0.48 to 1.48 ± 0.01 for a PRESS sequence with TE = 20 ms. The T2 relaxation time for the water peak was calculated to be 18.14 ± 1.08 ms, which results in a correction factor of 3.01 ± 0.18 for a PRESS sequence with TE = 20 ms. Figure 4 exemplarily shows the measured data for peak 6 with the fitted curve, the 95% confidence interval, and the residuals. Figures 5 and 6 show, as an example, two parts of one localized in vivo spectrum (PRESS: TR = 1.8 s, TE = 20 ms, voxel size = 1.5 mm x 1.5 mm x 1.5 mm, NEX = 1,000) of BAT of a NMRI nu/nu mouse, including the fitting curves and the residuals of the fit compared with the measured points. It can be seen that the nine different lipid peaks are clearly distinguishable. The small residuals show that our model curves fit the measured data very accurately. Because of the high spatial resolution in our localized in vivo spectra, it is possible to calculate different properties of the lipids in BAT and WAT, like the fractions of saturated fatty acids, monounsaturated fatty acids, diunsaturated fatty acids (or polyunsaturated fatty acids, in the case that FT in equation 3 is defined as zero), the MCL, and the WPF. The obtained spectral resolution can be considered as high for in vivo MRS.
Table 3 shows the derived values for the composition of triacylglycerols in the two mouse models (NMRI and NMRI nu/nu) for BAT and WAT. Shown are the mean results for each mouse model. For NMRI mice, the differences between the corrected and not corrected results are significant for saturated and monounsaturated fatty acids as well as for the MCL. The corrected and not corrected values of the WPF of BAT in NMRI mice are also significantly different. The measured mean percentage of saturated, monounsaturated, and diunsaturated fatty acids in mice are comparable to values found in the literature (16–18).
Because the relaxation times T2 are in the range of the TE of the sequence, the localized PRESS spectra of adipose tissue have to be corrected for spin-spin relaxation. Otherwise, the calculated values of the fraction of the different fatty acids are erroneous: deviations from the correct individual/mean values get up to a factor of 3.0/2.2 for saturated fatty acids, a factor of 1.3/1.5 for monounsaturated fatty acids, a factor of 1.4/1.3 for diunsaturated fatty acids, a factor of 1.2 /1.2 for the MCL, and a factor of 1.9/1.8 for the WPF for the animals used in this study. This outcome is also relevant for other localized 1H-MRS methods, like the stimulated echo acquisition mode, or nonlocalized techniques, like spectroscopic imaging, if TE is of the order of T2 of lipids. Furthermore, differences between NMRI and NMRI nu/nu mice and between BAT and WAT of each mouse type are calculated (Table 4 ). We found that BAT of NMRI mice is significantly different from BAT of NMRI nu/nu mice in all aspects except for the FM, whereas for WAT, only the FM is different. BAT and WAT of NMRI mice differ significantly in the amount of saturated and diunsaturated fatty acids. For NMRI nu/nu mice, no reasonable P value could be calculated because of the small number (n = 3) of animals.
We have demonstrated that in vivo 1H-MRS of adipose tissue in rodents at high magnetic field strength (7 T) allows for localized spectroscopy in very small voxels, down to voxel sizes of 1.5 mm x 1.5 mm x 1.5 mm. Because of the fact that the different 1H signals from triacylglycerols have different spin-spin relaxation times (T2), all spectral data have to be corrected for T2 relaxation. Otherwise, the content of saturated fatty acids, diunsaturated fatty acids, and the MCL will be overestimated and the content of monounsaturated fatty acids and the WPF will be underestimated (Table 3). Not correcting the spectral data of localized 1H-MRS of adipose tissue for spin-spin relaxation will lead to erroneous values for the fractions of different fatty acids, deviations reaching a factor of 3 in the case of saturated fatty acids. Other pitfalls that might occur within in vivo localized MRS are i) chemical shift displacement, ii) spin-spin relaxation, and iii) error propagation. Depending on the bandwidth of the excitation pulses and the gradient strength used during excitation, the opposite parts of localized PRESS spectra can be far away in spatial position. As shown in Figs. 1, 2, the chemical shift displacement of the water peak and the lipid peak P2 at 1.3 ppm are in the range from 19% to 30% of the voxel size. These small displacements are achieved using gradient strength up to 160 mT/m in the PRESS sequence used. Although the chemical shift displacement in the present study is small, the opposite sides of one spectrum are not measured exactly at the same position. One has to keep in mind the fact that the chemical shift displacement is a potential source of error. Furthermore, different 1H signals from triacylglycerols have different spin-spin relaxation times (T2). Therefore, all spectral data have to be corrected for T2 relaxation, but this point often receives no adequate consideration. In addition, small errors in the calculated integrals of the individual resonances (e.g., from inadequate baseline correction) can add up to major errors in the calculated fractions of the different fatty acids as a result of error propagation. In conclusion, the current approach allows the determination of lipid composition by localized 1H-MRS in adipose tissue deposits in small laboratory animals in vivo. Using this methodology, corrected lipid spectra can be obtained from voxels with a dimension of 1.5 mm x 1.5 mm x 1.5 mm, thus providing a potential tool for the characterization and differentiation of small adipose tissue deposits or small regions within larger deposits in rodent models of disease.
The authors thank Uta Lenkeit for her excellent technical assistance and Michael Horn, Ph.D., for his expert advice and many stimulating discussions.
Submitted on
August 20, 2007
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