Radka Klepochová1,2, Magdalena Bastian3, Michael Krebs3, Siegfried Trattnig1,2, Alexandra Kautzky-Willer3, and Martin Krššák1,2,3
1High-Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
Synopsis
Acetylcarnitine can be observed non-invasively in 1H MRspectra
in skeletal muscle and its inverse relationship to intramyocellular lipids and
metabolic markers of chronic hyperglycemia was suggested. This study aimed to compare the acetylcarnitine concentrations and intramyocellular
lipids content in tibialis
anterior and soleus of four different groups of volunteers with broad range of
glycemic control by 1HMRS on 3Tscanner. Differences in the patient phenotype
were mirrored by increased intramyocellular lipids in the tibialis anterior and
decreased acetylcarnitine in soleus of type2diabetes patients. This muscle
specific behavior of intramyocellular metabolites could represent different fiber
composition in examined muscles.
Introduction:
Association between
acetylcarnitine concentrations in skeletal muscle, insulin sensitivity[1] and type 2 diabetes
mellitus (T2DM)[2] has been reported
previously. Moreover, intramyocellular
lipids (IMCL) are also important indicator of whole body insulin sensitivity[3] [4].Since, acetylcarnitine
as well as IMCL in skeletal muscle can be observed non-invasively by proton magnetic
resonance spectroscopy (1HMRS) and it can be a unique tool to
unravel the roles in relation to metabolic health and disease, we aimed to compare the acetylcarnitine concentrations and
IMCL content in different types of skeletal muscles (tibialis anterior (TA) and
soleus (SOL)) in four groups of volunteers with broad range of long term
glycemic control–(lean healthy (LHV), overweight-to-obese (OOV), patients
with impaired glucose tolerance (IGT) and with type 2 diabetes
mellitus (T2DM)) and to perform analysis of the interrelations between these MRS-derived as well as other metabolic
parameters. Materials and Methods:
Resting acetylcarnitine levels were measured in
30 subjects: 9 LHV (BMI 21.36±1.46
kg/m2, age 41±11years, glycated haemoglobin (HbA1C) 5.04±0.19%), 5 OOV
(BMI 32.47±3.12 kg/m2,
age 48±16 years, HbA1C 5.28±0.31%), 7 IGT (BMI 30.14±5.01 kg/m2, age 51±4 years,
HbA1C 5.53±0.36%) and 9 T2DM (BMI 29.94±4,65 kg/m2, age 49±10 years,
HbA1C 6,67±0.78%). All measurements were
performed on 3T whole-body Siemens PrismaFit MR System in supine position with
right calf muscle positioned within 15-channel knee coil. Measurements were
conducted after an overnight fast at 7:30a.m. T1 weighted multi-slice localizer images were acquired and
used for volume-of-interest (VOI) positioning. VOIs for acetylcarnitine (40x35x15mm3)
and IMCL (12x12x20mm3) were carefully placed and co-localized within
the SOL and TA muscles. Localized shimming was performed manually, on the
adjustment volume matching the acetylcarnitine VOI size. Data were obtained using STEAM sequence with
following parameters for acetylcarnitine: TR/TE=2000/300ms;
spectral bandwidth=3kHz; number of averages=128; delta frequency=-2.5ppm relative
to water resonance and for IMCL: TR/TE=2000/20ms; spectral
bandwidth=2kHz; number of averages=16; delta frequency= -2.3ppm relative to
water resonance. For absolute quantification of acetylcarnitine, water signal
was measured separately (TR/TE=2000/20 ms; NA=1; delta frequency= 0ppm) from
same VOI and for IMCL evaluation we used water from the IMCL spectra. All spectra were fitted using the AMARES fitting
algorithm in the jMRUI v5.2 software [5]. Lipids surrounding the acetylcarnitine peak
were fitted with a constrained frequency of 2.0 - 2.1ppm and 2.17-2.30ppm to
avoid their influence on fitted acetylcarnitine. Using the water peak as an
internal reference and respective relaxation corrections, the concentration of
acetylcarnitine and IMCL were calculated. All
statistical analyses were done in SPSS (version
24.0; IBM SPSS, Chicago, Illinois, USA). All values are provided as mean ± SD and a p value < 0.05 was
considered significant. Results:
In the SOL muscle we have found significantly lower concentrations of acetylcarnitine in T2DM
group in comparison with LHV (p=0.004)(Figure 1A) whereas the IMCL content was
significantly higher in TA muscle in T2DM group in comparison with LHV (p=0.003)(Figure
1B). IMCL in the SOL muscle and acetylcarnitine concentrations in the TA muscle
did not significantly differ among the groups. Moreover, we found positive
correlation between acetylcarnitine concentrations from SOL and TA muscles (r=
0.46; p=0.01), negative correlation between HbA1C and acetylcarnitine
concentrations in SOL (r=-0.42; p=0,02) and TA muscle (r=-0.38; p=0.04) and
positive correlation between HbA1C and IMCL concentrations in SOL (r=0.47; p=0.009)
and TA muscle (r=0.71; p=0.00001). Correlations are depicted in Figure 2.Discussion and Conclusions:
Our results suggest that T2DM patients are characterized by a decreased
formation of acetylcarnitine in SOL and increased accumulation of IMCL in TA,
possibly underlying decreased insulin sensitivity. We can also suggest that different
fiber composition with increased share of oxidative metabolism in SOL muscle is
more sensitive to detect differences in acetylcarnitine concentrations and TA
with its higher ratio of glycolytic metabolism for IMCL measurement. Detecting both acetylcarnitine and IMCL
concentration by 1H MRS suggest non-invasive read-outs of metabolic
flexibility in relation to pathological conditions such as mitochondrial
dysfunction, insulin resistance, and diabetes. Acknowledgements
Colleagues
at the MR Centre of Excellence, Anniversary Fund of Austrian National Bank
(OeNB) (#15363 to MKrs), Christian Doppler Society (to ST)References
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