Maninder Singh1, Moses M Darpolor2, Jeffrey Covington1, Sebastian Hanet1, Eric Ravussin1, and Owen T Carmichael1
1Pennington Biomedical Research Center, Baton Rouge, LA, United States, 2Stillman College, Tuscaloosa, AL, United States
Synopsis
Dynamic phosphorus magnetic
resonance spectroscopy (31P-MRS) is a method used for in vivo studies of skeletal muscle
function including measurements of phosphocreatine (PCr) synthesis rate during
recovery from submaximal exercise. However, the molecular events underlying the
PCr resynthesis rate are still under debate.
Therefore, our goal was to assess the PCr resynthesis rate from 31P-MRS
spectra collected from the skeletal muscle (vastus lateralis) of healthy
adults and investigate associations between PCr resynthesis and levels of mitochondria-related
transcripts and proteins in the same muscle (NAMPT, NQO1, PGC-1α, and
SIRT1).
Purpose
Dynamic phosphorus magnetic resonance spectroscopy (31P-MRS)
is a method used for in vivo studies
of skeletal muscle function including measurements of phosphocreatine (PCr)
synthesis rate during recovery from submaximal exercise. However, the molecular
events underlying the PCr resynthesis rate are still under debate. Therefore, our goal was to assess the PCr resynthesis
rate from 31P-MRS spectra collected from the skeletal muscle (vastus
lateralis) of healthy adults and investigate associations between PCr
resynthesis and levels of mitochondria-related transcripts and proteins in the
same muscle (NAMPT, NQO1, PGC-1α, and SIRT1).Methods
As part of the CALERIE II study (Clinical
Trials registration: NCT00427193, NCT02695511), 28 men and women, aged 20-50
years, with body mass index (BMI) from 22.0 to 27.9 kg/m2 at the
screening visit, underwent a maximal aerobic fitness test for measurement of maximum
oxygen uptake (VO2 peak), a 31P-MRS exam for measurement
of PCr resynthesis rate, and a muscle biopsy for measurement of mRNA and
protein levels of select mitochondria-related genes. Cardiopulmonary fitness
was performed by continuously measuring weighted oxygen uptake (VO2)
with an integrated metabolic measurement system (ParvoMedics TrueOne® 2400,
Sandy, UT) during exercise on a programmable treadmill (Trackmaster® TmX425C,
Carefusion, Newton, KS). In vivo 31P-MRS
was performed on a GE 3T Signa HDxt magnet (GE Healthcare, Milwaukee, WI, USA).
A single loop surface coil, 6 cm in diameter, was used to acquire localized and
T1-relaxed 31P spectra. Standard acquisition parameters
were as follows: pulse width (PW) 304 µs, repetition time (TR) 15 s, number of
excitations (NEX) 16, sweep width1 5 kHz, number of points (NP)
4096, 1 dummy scan and 16 total scans. During a separate 31P MRS
acquisition, the participant was
instructed to begin isometric leg kicking2, during which MRS data was collected as follows: TR 1.5
s, average spectra acquired at a rate of 6 seconds per spectrum for a total of
75 spectra. The relative height of the
PCr peak was monitored in real time, and the participant was instructed to stop
kicking when the PCr peak height was reduced to 40 ± 10% of baseline. This range
has shown to provide adequate PCr depletion while maintaining physiological pH.3 The post-processing of spectra was executed
with jMRUI version 5.24 and quantitation of metabolite peaks was
performed in the time domain with the AMARES (Advanced
Method for Accurate, Robust, and Efficient Spectral fitting) algorithm.5
Confirmed PCr resonance peak data was transferred into Matlab (MathWorks,
Natick, MA) and fitted with a mono-exponential equation $$f(t) = PCr0+PCr1(1-exp(-t/tau))$$
where the PCr peak at each moment in time (t) is expressed as a function of the
recovery rate (tau) and scaling
coefficients (PCr0 and PCr1). Participants provided
approximately 600 mg of muscle using the Bergstrom technique6 in the
vastus lateralis. The tissue was
further processed for mRNA and protein extractions. Statistical analysis was
performed using STATA® software version 12.0 (StataCorp LP, College
Station, TX, USA). Separate linear regression models had PCr resynthesis rate
as the dependent variable, and VO2 peak, one mRNA level among
PGC-1α, NAMPT, SIRT1, or NQO1, or one protein level among PGC-1α, NAMPT, SIRT1,
or NQO1 as the independent variable.Results and Discussion
Representative time courses of PCr
are illustrated in Figure 1 for fast and slow PCr resynthesis rate. PCr
resynthesis times calculated from mono-exponential model fits were indicated as
relatively short (24.1 s) and long (73.3 s). Greater VO2 peak and
NAMPT protein levels were associated with faster PCr resynthesis time at
baseline (p<0.05) (Table 1). In addition, greater NAMPT mRNA level was
associated with faster PCr resynthesis time (p<0.05). However, mRNA levels
of PGC-1α, SIRT1 and NQO1 were not significantly associated with PCr
resynthesis time (Table 1).
The
association between NAMPT protein levels and PCr resynthesis rate is
biologically relevant, given the role it plays in energy metabolism. In
mammals, NAMPT is a rate-limiting enzyme that directly catalyzes the
condensation of nicotinamide (NAM) with α-D-5-phosphoribosyl-1-pyrophosphate to
synthesize nicotinamide mononucleotide (NMN). NMN is a pivotal precursor in the
biosynthesis of nicotinamide dinucleotide (NAD+). However, mammals
lack the capacity to directly convert NAM into NMN. Therefore, it is
biologically important to salvage and recycle NAD+. Synthesized NAD+
becomes a key cofactor in oxidative phosphorylation within the inner
mitochondrial membrane. Oxidative phosphorylation leads to adenosine
triphosphate (ATP) production, which in turn influences the coupled reactions
of creatine kinase that are crucial for contraction and relaxation of myocyte
and therefore critically determines PCr resynthesis rate. Two human studies
have supported the importance of NAMPT as well.2,7 We however
present the first confirmation that elevated NAMPT protein levels may be directly
involved in faster PCr resynthesis rate in healthy adults who did not undergo
exercise training. Acknowledgements
We very much appreciate the support and
contribution of Lauren M. Sparks, Connie Murla, and clinical staff of the
Pennington Biomedical Clinical Cores.
Also, we appreciate the diligence of our research participants
throughout the duration of the study.
The research project described here
was supported by the National Institutes of Health Grants: R01 AG030226, U01
AG020478, and funded in part by P30 DK072476 and U54 GM104940. Additional
support was provided by the Pennington Biomedical Research Foundation.
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