Skeletal muscle lipid quantification in lean and diabetic subjects using in vivo proton MR spectroscopy

Skeletal muscle lipid quantification in lean and diabetic subjects using in vivo proton MR spectroscopy
Sunil K Valaparla1, Goldie R E Boone1, Erika M Ripley1, Daniele Giuseppe2, Timothy Q Duong1, Muhammad Abdul-Ghani2, Geoffrey D Clarke1
1Research Imaging Institute, UT Health Science Center at San Antonio, San Antonio, TX, USA.
2Diabetes Division, UT Health Science Center at San Antonio, San Antonio, TX, USA.

Cite this article as: Valaparla SK, Boone GRE, Ripley EM, Giuseppe D, Duong TQ, Abdul-Ghani M, Clarke GD. Skeletal muscle lipid quantification in lean and diabetic subjects using in vivo proton MR spectroscopy. Int J Cancer Ther Oncol 2014; 2(2):020239.
DOI:
http://dx.doi.org/10.14319/ijcto.0202.39

Conference Proceeding
[Presented at the Young Investigator’s Symposium at the 2014 Annual Meeting of Southwest Chapter of American Association of Physicists in Medicine (AAPM) in San Antonio, Texas, USA]

Abstract

Purpose: To quantify and compare the intramyocellular (IMCL), extramyocellular (EMCL) lipids and total fat fraction in human vastus lateralis muscle between lean and type 2 diabetic (T2DM) subjects using long echo time (TE) STEAM proton MR spectroscopy (1H-MRS).

Methods: 1H-MRS using single voxel (15 × 15 × 15 mm3) stimulated acquisition mode (STEAM) was performed in right vastus lateralis m. on 10 lean controls (age: 28.3 ± 3.94 yo, BMI: 24.25 ± 3.20 kg/m2) and 7 type 2 diabetic (age: 54.28 ± 6.42 yo, BMI: 31.34 ± 3.13 kg/m2) subjects with Siemens 3T MRI and a four-channel flex coil. Unsuppressed water spectra (NSA = 16) with TR/TE = 3000/30 ms, TM = 10 ms BW = 2000 Hz, and water-suppressed spectra (NSA = 128) with TR/TE = 3000/270 ms, TM = 10 ms, fixed water suppression BW = 50 Hz were acquired. Spectral intensity ratios of IMCL-CH2, EMCL-CH2 and total lipid (IMCL + EMCL) with unsuppressed water signal (W) were converted into absolute concentrations expressed in mmol/kg. Fat fraction (100 × F/(W+F)) was also calculated, where F includes the signal intensities of IMCL and EMCL methylene (CH2)n, peaks only.

Results: Comparison of IMCL (controls: 11.70 ± 6.7, T2DM: 21.74 ± 10.2, p < 0.01), EMCL (controls: 22.89 ± 18.42, T2DM: 77.21 ± 33.4, p < 0.001) and total lipid (64.35 mmol/kg less in controls, p < 0.001) showed statistical significance using two-tailed student’s t-test. Mean fat fraction (%) exhibited considerable inter-individual variability for controls (3.14 ± 2.09; range: 1.34 – 7.04) and T2DM (9.34 ± 2.88; range: 4.15 – 13.67) and deemed significant (p < 0.05).

Conclusion: Single voxel STEAM 1H-MRS at long TE provides a robust non-invasive method for characterizing lipids within localized muscle regions, with well-resolved IMCL/EMCL peak separation. Regional lipid estimate and fat fraction in vastus lateralis muscle is significantly different in T2DM compared to normal lean controls.


Impact: Single-voxel proton MR spectroscopy (1H-MRS) with STEAM at long echo time (TE = 270ms) provides a robust non - invasive method for characterizing muscle lipids in vivo. This method offers rapid and convenient acquisition of high -resolution spectra with improved baseline and better lipid peak separation in skeletal muscle and allows for fat quantification with superior sensitivity and dynamic range over other MR imaging methods. This study quantified IMCL, EMCL and fat fraction using 1H-MRS from vastus lateralis m., predominantly utilized in ex vivo physiological studies for histochemical evaluation of muscle lipid metabolism in diabetes and obesity. The method described can be combined with biochemical assays to provide insights on excess skeletal muscle fat interference with insulin signaling in obese and diabetic states in longitudinal clinical research studies.

Key Results:


FIG. 1: STEAM 1H-MRS voxel of interest (VOI~3.5mL) placement for vastus lateralis muscle fat quantification on the T1-weighted axial image of the right thigh midsection. Representative water suppressed (WS) lipid MR spectrum acquired at TE = 270ms, showing clear separation between methylene IMCL-CH2 and EMCL-CH2 peaks. Signal intensities from methyl (-CH3) components, Cr-CH3, TMA and CH=CH fat peak at 5.4ppm are also observed with superior resolution and SNR. Sub-figure shows water reference (WR) spectra obtained at TE = 30ms. Ratio of (IMCL-CH2 + EMCL-CH2) lipid peak area from WS and H2O peak from WR, corrected for both T1 and T2 decays provided the fat fraction within the VOI.


FIG. 2: a) Box-whisker plots of IMCL, EMCL and total lipids (converted into absolute concentrations (mmol/kg) from spectral intensity ratios) measured between lean controls and type 2 diabetic (T2DM) showed considerable variability and statistical significant at p < 0.001. Horizontal line in each box is the median. Lower and upper ends of each box are limits of first and third quartiles, and height of each box is interquartile range. Vertical lines extending above and below each box end on data points farthest from mean but within distance of 1.5 times interquartile range from end of each box. Data points that are outliers are located between 1.5 and three times the interquartile range from end of each box. b) Bar plots (mean ± sd) of IMCL, EMCL and total lipids in the vastus lateralis muscle between lean and T2DM (*p < 0.05) c) Muscle fat fraction (%) measured by 1H-MRS in lean controls (mean ± sd: 3.14 ± 2.09; range: 1.34 – 7.04) and T2DM (9.34 ± 2.88; range: 4.15 – 13.67).


Received March 19, 2014; Published Online April 08, 2014

Presenting author: Sunil Kumar Valaparla; Research Imaging Institute, UT Health Science Center at San Antonio, San Antonio, TX, USA.

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