Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2018 Feb 9;8:2750. doi: 10.1038/s41598-018-21170-x

Compositional marker in vivo reveals intramyocellular lipid turnover during fasting-induced lipolysis

Ajay Thankamony 1, Graham J Kemp 2, Albert Koulman 3,4, Vlada Bokii 5, David B Savage 4, Chris Boesch 6, Leanne Hodson 7, David B Dunger 1,4, Alison Sleigh 4,5,8,
PMCID: PMC5807358  PMID: 29426847

Abstract

Intramyocellular lipid (IMCL) is of particular metabolic interest, but despite many proton magnetic resonance spectroscopy (1H MRS) studies reporting IMCL content measured by the methylene (CH2) resonance signal, little is known about its composition. Here we validated IMCL CH3:CH2 ratio as a compositional marker using 1H MRS at short echo time, and investigated IMCL content and composition during a 28-hour fast in 24 healthy males. Increases in IMCL CH2 relative to the creatine and phosphocreatine resonance (Cr) at 3.0 ppm (an internal standard) correlated with circulating free fatty acid (FA) concentrations, supporting the concept of increased FA influx into IMCL. Significant decreases in IMCL CH3:CH2 ratio indicated a less unsaturated IMCL pool after fasting, and this compositional change related inversely to IMCL baseline composition, suggesting a selective efflux of unsaturated shorter-chain FA from the IMCL pool. This novel in vivo evidence reveals IMCL turnover during extended fasting, consistent with the concept of a flexible, responsive myocellular lipid store. There were also differences between soleus and tibialis anterior in basal IMCL composition and in response to fasting. We discuss the potential of this marker for providing insights into normal physiology and mechanisms of disease.

Introduction

Intramyocellular lipids (IMCL) assemble as tiny droplets close to mitochondria and are dynamic functional organelles involved in lipid metabolism and cell signalling1,2. Associated with enzymes of fatty acid (FA) esterification, hydrolysis and mitochondrial transport, they represent a metabolically active pool optimised for rapid FA turnover and oxidation. IMCL accumulation is associated with insulin resistance (IR)35, but the occurrence of increased IMCL also in states of high insulin sensitivity (the ‘athlete’s paradox’)6 has focused attention on related lipid intermediates (e.g. ceramide, diacylglycerol or long-chain fatty acyl CoA), rather than intramyocellular triglyceride (TG) per se, in impaired insulin signalling2.

Fasting-induced adipose tissue lipolysis releases free fatty acids (FFA) into circulation and IMCL are reported to increase7,8, in a fibre-specific manner811. This suggests that the relationship between FA availability and oxidation, rather than circulating insulin, mainly determines IMCL content7. In fasting, both highly unsaturated FA and shorter-chained FA are preferentially mobilised from adipose tissue12,13, and a similar pattern is evident from changes in biopsy-measured rat muscle TG during an extended fast14. The mechanism for this preferential mobilisation was thought to relate to the physico-chemical characteristics of individual fatty acids12,13, such as water solubility, but selective enzymological properties were not ruled out15.

The unique ability of proton magnetic resonance spectroscopy (1H MRS) to non-invasively distinguish IMCL from extramyocellular lipid (EMCL)16,17 has led to its widespread use, reporting IMCL concentrations from the signal intensity of the methylene (CH2) resonance in FA chains in TG (the predominant species detected by 1H MRS18). However, CH2 signal is also influenced by lipid composition, a notional normal value being assumed to quantify IMCL. In contrast, the methyl (CH3) resonance is independent of lipid composition18, but measurement is hampered by its lower signal intensity and the overlapping EMCL CH3 resonance. To address this Ren et al.19 exploited the spectral simplification of long echo time acquisition and the enhanced signal-to-noise and spectral resolution at 7 T. They proposed the CH3:CH2 ratio as a marker of IMCL TG composition19. However, at long echo times the reduction in signal and the need for accurate T2 correction19,20 pose challenges, and its practical utility has not been established.

Most muscle IMCL measurements are made at 3 T with a short echo time. We set out to test the feasibility of measuring the CH3 resonance under these conditions, using optimal quality spectra and fitting algorithms. To evaluate the CH3:CH2 ratio as a compositional marker, we measured it in vitro in phantoms simulating IMCL and EMCL. To study IMCL composition and dynamics during extended fasting we performed 1H MRS at short echo time in healthy males at both 8 h (a standard baseline time point for metabolic studies regarding food intake) and 28 h of fast. We measured in vivo changes in CH2 (influenced both by TG amount and composition), CH3 (reporting only TG amount, and thus reflecting net FA influx-efflux) and CH3:CH2 (the compositional marker) in two leg muscles, the more oxidative soleus (SOL) and the more glycolytic tibialis anterior (TA), and related these to circulating FFA concentrations and changes in MRI-measured adipose tissue volumes.

Results and Discussion

Phantom validation

The IMCL CH3:CH2 ratio is sensitive to unsaturation, and to a lesser degree the chain length in intramyocellular TG (Fig. 1A). In agar phantoms simulating the combined IMCL and EMCL pools, the CH3:CH2 ratio correctly distinguished 4 different lipid compositions by their relative order (Fig. 1B, right). Bias due to factors including J-modulation, fitting prior knowledge, and T2 effects likely account for the systematic difference between observed and theoretical values, so ratio values were used comparatively. Figure 1B and C show representative spectra (and the corresponding fits) acquired from a phantom and from SOL in vivo, respectively. The CH3 signal from omega-3 FA resonates at different frequencies to the CH3 resonance shown in Fig. 1, but as shown by biopsy, muscle TG contains very little (~1%) omega-3 lipids21 and so the fitting models we used disregard this.

Figure 1.

Figure 1

1H-MRS intramyocellular lipid (IMCL): the CH3:CH2 ratio as a compositional marker in theory, in phantoms, and in vivo. (A) Theory. The figure shows the principle of the CH3:CH2 ratio as a compositional marker in IMCL (which detected by 1H MRS is overwhelmingly triglyceride (TG)34), influenced primarily by the degree of fatty acid (FA) unsaturation, and secondarily by FA chain length. The upper panel shows the palmitic acid component of a TG molecule with the theoretical ratio of 3/24 = 0.125 of CH3 (at 0.9 ppm) to CH2 (at 1.3 ppm). The middle panel shows how introduction of a single double bond increases this ratio to 3/16 = 0.188, due not only to the desaturation of two CH2, but also to the alteration in the chemical environment of the neighbouring CH2. For FA chains of equal number of double bonds, the CH3:CH2 ratio will also be scaled by chain length, although this will have a proportionally smaller effect (lower panel). SFA, saturated FA; MUFA, monounsaturated FA; PUFA, polyunsaturated FA. (B) Results in phantoms. The graph on the right of the panel shows data from agar phantoms simulating IMCL (oil droplets) and extramyocellular lipid (EMCL; oil-soaked tissue roll) made using olive, rapeseed, sunflower and cod liver oils. Three 1H spectra were acquired from each phantom and the IMCL CH3:CH2 ratio correctly distinguished the order of four oil phantoms. On the left of the panel is a representative 1H spectrum (solid black) acquired from a voxel containing both simulated IMCL and EMCL compartments, also showing the overall fit (dashed grey) and individual fit components (solid grey). (C) Results in vivo. The figure shows a representative 1H spectrum from soleus in vivo, showing the fit to EMCL and IMCL CH2 and CH3 resonances.

In vivo fasting effects

The 24 healthy male participants were of mean ± SEM age 34.9 ± 1.8 years and BMI 23.4 ± 0.5 kg.m−2. Spectra with no clear distinction between EMCL and IMCL CH2 resonances were eliminated, yielding 22 and 19 complete pre- and post-fasting sets for TA and SOL respectively. IMCL CH2 relative to the internal standard creatine plus phosphocreatine (Cr) increased on extended fasting (Table 1), consistent with observations in longer fasts in human vastus lateralis7, TA and SOL8. FFA concentrations correlated with the fasting increment (Δ) in IMCL in both TA (ΔCH2: r = 0.57, p = 0.006; ΔCH3: r = 0.39, p = 0.07) and SOL (ΔCH2: r = 0.52, p = 0.02; ΔCH3: r = 0.47, p = 0.04), supporting the concept that FA influx into the cell controls IMCL pool size in these circumstances, either by directly altering the influx into the IMCL pool or indirectly by suppressing IMCL lipolysis. Subcutaneous adipose tissue (SCAT) decreased whilst other fat depots remained unchanged (Table 1), suggesting that SCAT is the main source of increased FFA in these non-obese males. This is consistent with studies of regional FFA release in vivo in humans using isotope techniques22 where upper body subcutaneous fat was by far the greatest contributor to systemic FFA release under basal conditions and during prolonged fasting. Direct validation studies would be needed to support this application of MRI in determining the dynamics of fat depots conveniently in vivo.

Table 1.

Magnetic resonance measures at 8 h and 28 h of fasting.

8 h 28 h P value
Intra- and extramyocellular lipid
  Soleus
 SOL IMCL CH2/Cr 8.5 ± 1.0 10.7 ± 0.9 0.007
 SOL IMCL CH3/Cr 1.02 ± 0.12 1.14 ± 0.11 0.243
 SOL IMCL CH3:CH2 0.118 ± 0.004 0.106 ± 0.004 0.015
 SOL EMCL CH2/Cr 16.3 ± 2.3 16.6 ± 1.8 0.735
  Tibialis anterior
 TA IMCL CH2/Cr 4.2 ± 0.4 5.5 ± 0.4  < 0.001
 TA IMCL CH3/Cr 0.77 ± 0.09 0.86 ± 0.07 0.033
 TA IMCL CH3:CH2 0.182 ± 0.011 0.157 ± 0.008 0.011
 TA EMCL CH2/Cr 10.2 ± 1.2 12.2 ± 1.6 0.157
Adipose tissue
SCATabd, cm3 781 ± 86 758 ± 81 0.012
VAT, cm3 336 ± 67 335 ± 69 0.650
SCATleg, cm2 13.1 ± 1.0 12.7 ± 1.0 0.001
IMF, cm2 2.4 ± 0.3 2.5 ± 0.2 0.274
Hepatic lipid
IHL CH2/water, % 0.91 ± 0.2 0.93 ± 0.2 0.082

Data are mean ± SEM. Bold P values are statistically significant (p < 0.05), determined by a 2-tailed paired-samples t-test. IMCL, intramyocellular lipid; EMCL, extramyocellular lipid; SOL, soleus; TA, tibialis anterior; CH2/Cr, CH2 lipid expressed relative to the chosen internal standard creatine plus phosphocreatine (Cr); CH3/Cr, CH3 lipid expressed relative to Cr; CH3:CH2, CH3 lipid relative to CH2 lipid, used here as a marker of unsaturation; SCATabd, abdominal subcutaneous adipose tissue; VAT, visceral adipose tissue; SCATleg, leg subcutaneous adipose tissue; IMF, intermuscular fat; IHL, intrahepatic lipid. n = 19 and 22 in SOL and TA respectively.

IMCL CH3/Cr (which unlike CH2/Cr, the increment in which purely reflects net FA flux) increased by ~12% in TA (p = 0.03) implying net FA influx during the fast, but not significantly in SOL. IMCL CH2/Cr increased by 26% in SOL (p = 0.007) and 31% in TA (p < 0.001) (Table 1). The IMCL CH2/Cr increase was therefore more than the increase in CH3/Cr and thus represents significant decreases in the compositional marker CH3:CH2 (Table 1, Fig. 2A), indicating a change towards decreased unsaturation and possibly increased chain length of IMCL during fasting. These IMCL compositional changes on fasting correlated inversely with baseline IMCL composition in both muscles (Fig. 2A), suggesting a selective efflux of unsaturated and/or shorter chain FAs from the IMCL pool during fasting. This matches the mobilisation profile in a rat biopsy study of muscle TG14, in which the reduction in CH3:CH2 ratio was mainly due to the efflux of unsaturated and/or shorter chain FA. Supporting this notion, net efflux of FFA from the IMCL pool during the fast were associated with decreases in the compositional marker in both muscles (Fig. 2B). IMCL compositional changes were not associated with circulating FFA or IMCL ΔCH2/Cr in either muscle (all p > 0.23). Together our observations indicate that during the fast an efflux of FA with a high CH3:CH2 ratio from the IMCL pool is the main determinant of compositional changes in IMCL.

Figure 2.

Figure 2

In vivo IMCL compositional marker at baseline (8 h fasting) and alterations after extended fasting (28 h) in both the tibialis anterior (TA) and soleus (SOL) muscles. The IMCL CH3:CH2 ratio is a marker of the degree of unsaturation combined with reduced chain length. (A) Fasting compositional changes in IMCL relate to the baseline composition. Correlations in the TA (black diamonds; Pearson’s r = −0.73, p < 0.001, n = 22) and SOL (grey circles; r = −0.63, p = 0.004, n = 19) muscles, and TA and SOL together (r = −0.67, p < 0.001, n = 41). The overall ΔIMCL CH3:CH2 significantly decreased in both muscles during the fast (both p < 0.015; paired samples t-test, Table 1). Due to the short TE, T2 correction would be minimal (estimated to alter CH3:CH2 values by ~10%), and is not shown. (B) Fasting compositional changes in IMCL relate to fasting alterations in IMCL CH3/Cr. Correlations in the TA (black diamonds; Pearson’s r = 0.58, p = 0.005, n = 22) and SOL (grey circles; r = 0.67, p = 0.002, n = 19) muscles, and TA and SOL together (r = 0.52, p < 0.001, n = 41). Decreases in the compositional marker (ΔCH3:CH2) are associated with decreases in ΔCH3/Cr i.e. where there is net efflux (as ΔCH3/Cr reflects net flux). (C) IMCL CH2/Cr relative to CH3/Cr at baseline reveals differences in IMCL CH3:CH2 ratio between TA (black diamonds) and SOL (grey circles) muscles (p < 0.001; paired samples t-test; n = 19).

Differences between muscles

There was a striking difference in baseline IMCL CH3:CH2 between muscles (Table 1, Fig. 2C), TA having a more unsaturated shorter-chain TG pool than SOL. Modelling based on phantom results suggests that SOL lipid CH3:CH2 is similar to or more saturated than olive oil, and TA similar to sunflower oil. A possible contribution to these differences may result from inconsistencies in spectral fitting between muscles due to slightly different EMCL resonant frequencies that depend on fibre orientations; however, this is unlikely to fully explain these differences. Biopsy TG samples processed by normal methods are prone to EMCL contamination, and there is little published data on the composition in these muscles; we cautiously suggest that such a difference in IMCL composition might explain reported differences in determinants of IMCL23.

The two muscles also responded differently to fasting. The increment in SOL correlated with concentrations of combined saturated 14:0 and 16:0 FA, and of 16:0 alone (Fig. 3C), and appeared unrelated (p > 0.4) to monounsaturated (MUFA) or polyunsaturated fatty acids (PUFA). This agrees with rat biopsy observations of soleus TG after 48 h fast where only 16:0 and 18:0 FA increased14. By contrast the increment in TA CH2/Cr was strongly related to circulating MUFA (p < 0.003), with a tendency for PUFA (p = 0.06), and not related to any individual or combined saturated FA (p > 0.3). Figure 3B shows the correlation with oleic acid concentration, the main circulating MUFA24. This suggests a differing net uptake of FA into IMCL during fasting, with the influx of FA with a higher CH3:CH2 ratio into the TA muscle IMCL pool, this is a profile which matches the baseline composition. It is unknown whether this differing uptake is a result of selective FA transporters or of a differing FA profile remaining after short-chain and unsaturated FA are preferentially oxidised13,25.

Figure 3.

Figure 3

Circulating free fatty acids (FFA) (µmol/l, AUC) analysis after 12, 16 and 24 h fasting, and their relationship with the difference (Δ) in muscle IMCL CH2 between 8 and 28 h fasting. (A) FFA profile (mean ± SEM): total saturated FFA (white bars) constitute 41.9 ± 1.0%, total monounsaturated (grey bars) 43.3 ± 0.8%, total polyunsaturated (black bars) 14.8 ± 0.4%, and total omega-3 (18:3, 22:5, 22:6) 1.62 ± 0.06% of total FFA. (B) and (C) show correlations: TA ΔIMCL CH2 (n = 22) was significantly correlated with concentrations of total monounsaturated (Pearson’s r = 0.60, p = 0.003) FFA and specifically 18:1 (r = 0.64, p = 0.002) (shown in B), as well as total omega-3 FFA (r = 0.43, p = 0.046) with a tendency for total polyunsaturated FFA (r = 0.41, p = 0.06). In contrast SOL ΔIMCL CH2 (n = 19) correlated with combined saturated 14:0 + 16:0 (r = 0.52, p = 0.02) and 16:0 FFA alone (r = 0.49, p = 0.03) (shown in C).

Summary and implications

We have shown by practical validation in IMCL/EMCL simulated phantoms, that the IMCL CH3:CH2 ratio in good-quality spectra showing clear distinction between EMCL and IMCL CH2 resonances, acquired at 3 T using the PRESS sequence with a short echo time of 35 ms is a comparative marker of TG composition. These acquisition parameters are commonly used, and therefore this method has potential for widespread use. Although this marker does not distinguish saturated from mono- or poly-unsaturated FA components of TG, as recently achieved using a specialised sequence26, it is particularly sensitive to differences in the degree of unsaturation and chain length. We stimulated lipolysis using an extended fast in healthy adult males and showed evidence of IMCL turnover, such that IMCL is synthesized from circulating FFA and hydrolysed causing a selective efflux of unsaturated and/or shorter chain FA. This combination of in vivo MRS measurements of IMCL CH2, CH3 and CH3:CH2 with measurements of plasma FFA has the potential to inform on both the composition and net dynamics of this metabolically-active pool. Although isotopic tracer studies such as pulse-chase approaches performed in vivo27 may provide more definitive mechanistic information underlying the turnover of a specific FA species in intramuscular triglyceride, 1H MRS offers the ability to detect the intramyocellular triglyceride pool non-invasively, allowing repeated measures from the same sample conveniently in a timeframe of a few minutes, permitting investigation of net changes of all FA species both within short-term and over longitudinal intervention studies. The 1H MRS method outlined here, together with isotopic tracer studies, have the potential to better define the involvement of IMCL in insulin-resistant states and their treatments.

Methods

Phantom validation of IMCL compositional marker

Four agar phantoms simulating IMCL (oil droplets) and EMCL (oil-soaked tissue roll)19 were made using lipids of differing fatty acid (FA) compositions viz. olive, rapeseed, sunflower and cod liver oils. These are composed of triglycerides which, on average, increase in degree of unsaturation from predominantly 18:1 (olive) to predominantly 18:2 (sunflower), to a mixture of highly unsaturated and shorter-chain FA (cod liver oil). The same oil was used in both droplet and tissue roll compartments, with the exception of the cod liver oil where the tissue roll was olive oil. Three 1H MR spectra were acquired from each phantom using the Point Resolved Spectroscopy sequence with the short echo time (TE) of 35 ms.

Participants and protocol

24 healthy non-obese Caucasian male volunteers were recruited, aged 18 to 50 years without diabetes and taking no medication28. They were asked to refrain from alcohol and vigorous physical activity and to follow their normal diet for 3 days prior to the study. Their meal on the evening prior to the study (at 19:30) and following breakfast on day 1 (at 07:30) were standardized based on one-third of the recommended daily intake of energy and contained approximately 50% carbohydrate, 30% fat, and 20% protein. The study protocol involved fasting from 08:00 on day 1 to 14:00 on day 2. Magnetic resonance evaluations were undertaken at 8 and 28 h of fasting (16:00 on day 1 and noon on day 2) on a whole-body Siemens 3 T Verio scanner (Erlangen, Germany), with the voxels/slices being carefully relocalised on the second visit. Overnight blood samples for FFA assessment using high resolution mass spectrometry were taken at 20:00 (Day 1), 00:00 and 08:00 (Day 2).

Intramyocellular lipid (IMCL)

Participants were placed supine and the peripheral-angio coil used for signal reception. A water-suppressed proton spectrum was acquired from a voxel of cube length 1.3 cm positioned to avoid visible fat on T1-weighted images within TA and SOL, using acquisition parameters as in the phantom validation (TE = 35 ms, 5 s repetition time, and 64 averages). Phantom and in vivo data were analysed in jMRUI29,30 and fitted with the AMARES31 algorithm using identical prior knowledge parameters: a single EMCL resonance, Gaussian lineshapes, soft constraints on EMCL/IMCL CH2 frequencies and linewidths, CH3 resonant frequencies and linewidths determined from known and inferred prior knowledge relative to the CH2 resonance5, and with all amplitudes estimated. IMCL CH2 and CH3 are expressed relative to the creatine and phosphocreatine CH3 resonance at 3.0 ppm.

Free Fatty Acids (FFA)

Plasma samples were extracted with MTBE using an automated liquid handler. This organic phase was diluted with a mixture of isopropanol/methanol with 7.5 mM NH4Ac solution. Lipid profiling was performed on the extract using chip-based nanoelectrospray with an Advion TriVersa Nanomate (Advion, Ithaca, USA) interfaced to the Thermo Exactive Orbitrap (Thermo Scientific, Hemel Hampstead, UK), using a mass acquisition window from 200 to 2000 m/z and acquisition in positive and negative mode, as described elsewhere32. Negative mode data were used to measure relative concentrations of free fatty acids (FFA), and absolute FFA concentrations were calculated by comparison to the added internal standard undecanoic acid. Circulating FFA composition was reported from plasma samples at 12, 16 and 24 h fast, combined as the AUC.

Adipose tissue

Abdominal subcutaneous (SCATabd) and visceral (VAT) adipose tissue volumes were measured using magnetic resonance imaging over 6 cm superior-inferior distance from 5 water-suppressed T1-weighted transaxial slices above the L5 vertebral level. Due to the higher reproducibility of leg subcutaneous adipose tissue (SCATleg) and intermuscular fat (IMF) (2 or 3% CoVs), these measures were assessed from a single T1-weighted transaxial slice central to the 1H MRS voxels, and hence these measures have units of area (cm2). Regional MRI analysis was performed in Analyze (AnalyzeDirect, Overland Park, KS).

Intrahepatic lipid (IHL)

IHL was measured by 1H MRS as previously described33, and expressed as the methylene peak at 1.3 ppm relative to the water peak.

Statistics

All statistical tests were performed in IBM SPSS Statistics 23 (IBM, Armonk, NY: IBM Corp.), with significance set at P < 0.05. Normality was assessed by the Shapiro-Wilk test and non-normally distributed data were log-transformed prior to statistical testing. A 2-tailed paired-samples t-test was used to compare differences between 8 h and 28 h of fasting and Pearson’s correlation coefficient for analyzing relations. Data are mean ± SEM.

Study approval

The study was approved by the Cambridge Local Research Ethics Committee and conducted in accordance with the Declaration of Helsinki. All participants provided written informed consent.

Data Availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

Acknowledgements

We thank the participants, staff at the Cambridge NIHR/Wellcome Trust Clinical Research Facility and the Wolfson Brain Imaging Centre, Sarah Nutland (NIHR Cambridge BioResource, Cambridge, UK) for facilitating participant recruitment and Edwina French (MRC Laboratory of Molecular Biology, Cambridge, UK) for help with phantoms. We acknowledge grants from Addenbrooke’s Charitable Trust and the British Society for Pediatric Endocrinology and Diabetes. LH is a British Heart Foundation Senior Fellow in Basic Science. DBS is supported by the Wellcome Trust (107064). AT, AK and DBD are funded by the UK NIHR Cambridge Biomedical Research Centre and Medical Research Council (UD99999906), and AS by the NIHR via the NIHR Cambridge Clinical Research Facility.

Author Contributions

A.S. conceived the idea. A.S. undertook the phantom studies; A.T. and D.B.D. the fasting studies. A.K., V.B., C.B. and A.S. analyzed the data and A.T., G.J.K., A.K., C.B., L.H. and A.S. developed the interpretation. The manuscript was drafted by A.S., revised by G.J.K. and A.S., and then edited by all.

Competing Interests

The authors declare no competing interests.

Footnotes

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Meex RCR, Schrauwen P, Hesselink MKC. Modulation of myocellular fat stores: lipid droplet dynamics in health and disease. Am J Physiol Regul Integr Comp Physiol. 2009;297:913–924. doi: 10.1152/ajpregu.91053.2008. [DOI] [PubMed] [Google Scholar]
  • 2.Muoio DM. Revisiting the connection between intramyocellular lipids and insulin resistance: a long and winding road. Diabetologia. 2012;55:2551–2554. doi: 10.1007/s00125-012-2597-y. [DOI] [PubMed] [Google Scholar]
  • 3.Machann J, Haring H, Schick F, Stumvoll M. Intramyocellular lipids and insulin resistance. Diabetes, Obes. Metab. 2004;6:239–248. doi: 10.1111/j.1462-8902.2004.00339.x. [DOI] [PubMed] [Google Scholar]
  • 4.Schrauwen-Hinderling VB, Hesselink MKC, Schrauwen P, Kooi ME. Intramyocellular lipid content in human skeletal muscle. Obesity. 2006;14:357–367. doi: 10.1038/oby.2006.47. [DOI] [PubMed] [Google Scholar]
  • 5.Boesch C, Machann J, Vermathen P, Schick F. Role of proton MR for the study of muscle lipid metabolism. NMR Biomed. 2006;19:968–988. doi: 10.1002/nbm.1096. [DOI] [PubMed] [Google Scholar]
  • 6.Goodpaster BH, He J, Watkins S, Kelley DE. Skeletal muscle lipid content and insulin resistance: evidence for a paradox in endurance-trained athletes. J Clin Endocrinol Metab. 2001;86:5755–5816. doi: 10.1210/jcem.86.12.8075. [DOI] [PubMed] [Google Scholar]
  • 7.Stannard SR, et al. Fasting for 72 h increases intramyocellular lipid content in nondiabetic, physically fit men. Am J Physiol Endocrinol Metab. 2002;283:E1185–91. doi: 10.1152/ajpendo.00108.2002. [DOI] [PubMed] [Google Scholar]
  • 8.Wietek BM, et al. Muscle type dependent increase in intramyocellular lipids during prolonged fasting of human subjects: A proton MRS study. Horm. Metab. Res. 2004;36:639–644. doi: 10.1055/s-2004-825928. [DOI] [PubMed] [Google Scholar]
  • 9.Neumann-haefelin C, et al. Lipid metabolism during starvation in Wistar rats. Diabetes. 2004;53:528–534. doi: 10.2337/diabetes.53.3.528. [DOI] [PubMed] [Google Scholar]
  • 10.De Feyter HMML, et al. Regional variations in intramyocellular lipid concentration correlate with muscle fiber type distribution in rat tibialis anterior muscle. Magn. Reson. Med. 2006;56:19–25. doi: 10.1002/mrm.20924. [DOI] [PubMed] [Google Scholar]
  • 11.Beha A, et al. Muscle type-specific fatty acid metabolism in insulin resistance: an integrated in vivo study in Zucker diabetic fatty rats. Am J Physiol Endocrinol Metab. 2006;290:989–997. doi: 10.1152/ajpendo.00459.2005. [DOI] [PubMed] [Google Scholar]
  • 12.Halliwell KJ, Fielding BA, Samra JS, Humphreys SM, Frayn KN. Release of individual fatty acids from human adipose tissue in vivo after an overnight fast. J. Lipid Res. 1996;37:1842–8. [PubMed] [Google Scholar]
  • 13.Price, E. R. & Valencak, T. G. Changes in fatty acid composition during starvation in vertebrates: mechanisms and questions. In Comparative physiology of fasting, starvation, and food limitation 237–255, 10.1007/978-3-642-29056-5_15 (Springer Berlin Heidelberg 2012).
  • 14.Herzberg GR, Farrell B. Fasting-induced, selective loss of fatty acids from muscle triacylglycerols. Nutr. Res. 2003;23:205–213. doi: 10.1016/S0271-5317(02)00515-8. [DOI] [Google Scholar]
  • 15.Raclot T. Selective mobilization of fatty acids from adipose tissue triacylglycerols. Prog. Lipid Res. 2003;42:257–288. doi: 10.1016/S0163-7827(02)00066-8. [DOI] [PubMed] [Google Scholar]
  • 16.Schick F, et al. Comparison of localized proton NMR signals of skeletal muscle and fat tissue in vivo: two lipid compartments in muscle tissue. Magn. Reson. Med. 1993;29:158–167. doi: 10.1002/mrm.1910290203. [DOI] [PubMed] [Google Scholar]
  • 17.Boesch C, Slotboom J, Hoppeler H, Kreis R. In vivo determination of intra-myocellular lipids in human muscle by means of localized 1H-MR-spectroscopy. Magn. Reson. Med. 1997;37:484–493. doi: 10.1002/mrm.1910370403. [DOI] [PubMed] [Google Scholar]
  • 18.Szczepaniak LS, et al. Measurement of intracellular triglyceride stores by 1H spectroscopy: validation in vivo. Am. J. Physiol. - Endocrinol. Metab. 1999;276:E977–E989. doi: 10.1152/ajpendo.1999.276.5.E977. [DOI] [PubMed] [Google Scholar]
  • 19.Ren J, Sherry AD, Malloy CR. 1H-MRS of intramyocellular lipids in soleus muscle at 7 T: Spectral simplification by using long echo times without water suppression. Magn. Reson. Med. 2010;64:662–671. doi: 10.1002/mrm.22345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Škoch A, et al. Intramyocellular lipid quantification from 1H long echo time spectra at 1.5 and 3 T by means of the LCModel technique. J. Magn. Reson. Imaging. 2006;23:728–735. doi: 10.1002/jmri.20574. [DOI] [PubMed] [Google Scholar]
  • 21.Andersson A, Nälsén C, Tengblad S, Vessby B. Fatty acid composition of skeletal muscle reflects dietary fat composition in humans. Am. J. Clin. Nutr. 2002;76:1222–9. doi: 10.1093/ajcn/76.6.1222. [DOI] [PubMed] [Google Scholar]
  • 22.Koutsari C, Jensen MD. Thematic review series: patient-oriented research. Free fatty acid metabolism in human obesity. J. Lipid Res. 2006;47:1643–50. doi: 10.1194/jlr.R600011-JLR200. [DOI] [PubMed] [Google Scholar]
  • 23.Thamer C, et al. Intramyocellular lipids: anthropometric determinants and relationships with maximal aerobic capacity and insulin sensitivity. J. Clin. Endocrinol. Metab. 2003;88:1785–1791. doi: 10.1210/jc.2002-021674. [DOI] [PubMed] [Google Scholar]
  • 24.Hodson L, Skeaff CM, Fielding BA. Fatty acid composition of adipose tissue and blood in humans and its use as a biomarker of dietary intake. Prog. Lipid Res. 2008;47:348–380. doi: 10.1016/j.plipres.2008.03.003. [DOI] [PubMed] [Google Scholar]
  • 25.DeLany JP, Windhauser MM, Champagne CM, Bray GA. Differential oxidation of individual dietary fatty acids in humans. Am. J. Clin. Nutr. 2000;72:905–11. doi: 10.1093/ajcn/72.4.905. [DOI] [PubMed] [Google Scholar]
  • 26.Lindeboom, L. & de Graaf, R. A. Measurement of lipid composition in human skeletal muscle and adipose tissue with 1H-MRS homonuclear spectral editing. Magn Reson Med doi:10.100 (2017). [DOI] [PubMed]
  • 27.Guo Z, Burguera B, Jensen MD. Kinetics of intramuscular triglyceride fatty acids in exercising humans. J. Appl. Physiol. 2000;89:2057–64. doi: 10.1152/jappl.2000.89.5.2057. [DOI] [PubMed] [Google Scholar]
  • 28.Thankamony A, et al. Low circulating levels of IGF-1 in healthy adults are associated with reduced β-cell function, increased intramyocellular lipid, and enhanced fat utilization during fasting. J. Clin. Endocrinol. Metab. 2014;99:2198–2207. doi: 10.1210/jc.2013-4542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Naressi A, et al. Java-based graphical user interface for the MRUI quantitation package. Magma Magn. Reson. Mater. Physics, Biol. Med. 2001;12:141–152. doi: 10.1007/BF02668096. [DOI] [PubMed] [Google Scholar]
  • 30.Stefan D, et al. Quantitation of magnetic resonance spectroscopy signals: the jMRUI software package. Meas. Sci. Technol. 2009;20:104035. doi: 10.1088/0957-0233/20/10/104035. [DOI] [Google Scholar]
  • 31.Vanhamme L, Van Den Boogaart A, Huffel S. Van. Improved method for accurate and efficient quantification of MRS data with use of prior knowledge. J. Magn. Reson. 1997;129:35–43. doi: 10.1006/jmre.1997.1244. [DOI] [PubMed] [Google Scholar]
  • 32.Eiden M, et al. Mechanistic insights revealed by lipid profiling in monogenic insulin resistance syndromes. Genome Med. 2015;7:63. doi: 10.1186/s13073-015-0179-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Semple RK, et al. Postreceptor insulin resistance contributes to human dyslipidemia and hepatic steatosis. J. Clin. Invest. 2009;119:315–322. doi: 10.1172/JCI37432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Ren J, Dean Sherry A, Malloy CR. Reply to: Intramyocellular lipids vs. intramyocellular triglycerides. Magn. Reson. Med. 2012;67:299–299. doi: 10.1002/mrm.23303. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated during the current study are available from the corresponding author on reasonable request.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES