Skeletal muscle assessment to understand cardiometabolic interactions

Background Patients with diabetes and metabolic disorders have excess mortality after myocardial infarction (MI). Their mitochondrial function is often abnormal, and can be measured with phosphorus magnetic resonance spectroscopy (PMRS). Participation in a program of cardiac rehabilitation and secondary prevention (CRSP) reduces post-MI mortality, but typically involves only aerobic exercise and may not sufficiently improve mitochondrial function. An integrated assessment of skeletal muscle would potentially be useful to assess the impact of aerobic plus resistive exercise post-MI.


Skeletal muscle assessment to understand cardiometabolic interactions
Vidhya Kumar 1* , Henry Chang 1 , Suzanne Smart 1 , Beth McCarthy 1 , Ning Jin 2 , Subha V Raman 1 From 19th Annual SCMR Scientific Sessions Los Angeles, CA, USA. 27-30 January 2016 Background Patients with diabetes and metabolic disorders have excess mortality after myocardial infarction (MI). Their mitochondrial function is often abnormal, and can be measured with phosphorus magnetic resonance spectroscopy (PMRS). Participation in a program of cardiac rehabilitation and secondary prevention (CRSP) reduces post-MI mortality, but typically involves only aerobic exercise and may not sufficiently improve mitochondrial function. An integrated assessment of skeletal muscle would potentially be useful to assess the impact of aerobic plus resistive exercise post-MI.

Methods
We tested a combined MR-based protocol with: 1) PMRS of quadriceps muscle at rest, during 30s of isometric quadriceps exercise, and during recovery and 2) quadriceps muscle fat quantification using a multi-echo Dixon sequence at 1.5 Tesla (Siemens, Erlangen). After shimming, an unlocalized FID sequence using the following parameters was used to acquire 31 P spectra: TR = 1000 ms, TE = 0.34 ms, BW = 2000 Hz, points = 1024, averages = 4. Fat/water quantification was acquired with: TR = 11.1 ms, 6 echoes with TE minimized, BW = 1150 Hz, slice thickness = 4 mm.
PCr peak amplitudes, representing concentration, were quantified using jMRUI (Lyons, France) and recovery time was calculated with a best-fit mono-exponential function ( Fig 1A). Quantitative fat maps were generated from the Dixon sequence, with pixel intensity representing fat percentage (Fig 1C). Feasibility was assessed in healthy volunteers and patients starting a CRSP program post-MI.

Conclusions
An integrated protocol of skeletal muscle 31P spectroscopy with fat quantification is feasible in patients starting cardiac rehabilitation, and may help improve understanding of cardiometabolic interactions that are not evident from cardiac measures alone.

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Submit your manuscript at www.biomedcentral.com/submit Figure 1 A) Phosphocreatine (PCr) concentration is depleted with rapid resistive extremity exercise and returns to baseline levels within a recovery period (τ), which is a well-established biomarker of mitochondrial oxidative function. A representative recovery curve is shown. B) Comparison of PCr recovery times demonstrates sequentially poorer mitochondrial oxidative capacity in control subjects, nondiabetic and diabetic patients. C) A representative quantitative fat image acquired through the leg illustrates the measurement of intramuscular lipid. D) Comparison of results indicates sequentially higher skeletal muscle fat content in control subjects, non-diabetic and diabetic patients.