Glenn Walter1, Alison Barnard2, Sean Forbes2, Rebecca Willcocks2, Eric Baetscer3, William Triplett2, William Rooney 3, and Krista Vandenborne2
1Physiology, University of Florida, Gainesville, FL, United States, 2Physical Therapy, University of Florida, Gainesville, FL, United States, 3Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States
Synopsis
Keywords: Muscle, Muscle, muscular dystrophy
Both MRI and MRS measures reveal that water T2 can be elevated
in
individuals living with dystrophin deficits, which includes patients with DMD,
BMD and manifesting carriers. This has
important implications when evaluating therapeutics aimed at decreasing
inflammation (e.g., corticosteroids or NFkb inhibitors) or disease modifying
interventions, such as gene therapies.
Introduction
Early biomarkers of
muscle disease prior to functional deficits or increased fatty-fibrous
deposition, provides a useful biomarker in many muscular dystrophies. It
has been clearly established that muscle inflammation in young boys with Duchenne
muscular dystrophy (DMD) can be detected with MRI and/or MRS prior to fatty
tissue deposition1-3. Indeed, the increase in water transverse
relaxation time constant (T2) detected by these methods has been
shown to be sensitive to corticosteroid use in both both DMD4 and dermatomyositis5. On the other hand, it is unclear whether water
T2 is increased in milder forms of X-linked dystrophinopathy, such
as in Becker muscular dystrophy (BMD)3 or in
manifesting carriers (MC). To address this, we implemented highly
sensitive MRI and MRS methods to measure muscle water T2 in
participants with DMD, BMD, and MCs.Methods
Single voxel 1H MRS was
used to measure water T2 and fat fraction in soleus (SOL) and vastus
lateralis (VL) muscles in 186 DMD (>900 observations), 32 BMD, 17
manifesting carriers, 54 pediatric male unaffected controls, 27 male unaffected adult
controls, and 7 unaffected female controls using a multiple TE (TEs=4-16;
11-288 ms) STEAM sequence without water suppression (TR=9s) at 3T1. In a subset of subjects, a multiple spin echo (MSE; nTEs =128, ∆TE=7ms, TR=3s, B1max=27uT)
were obtained of the lower leg with a 16ch T/R knee coil. To minimize the possibility of magnetization
transfer and stimulated echoes in the MSE sequence, a single slice was acquired
positioned to the center slice plane of the MRS location with a large
refocusing/excitation slice thickness6. In the case of BMD three individual single
slice packages were acquired. Water T2 was extracted from the MSE data
using an extended phase graph (EPG) data analysis algorithm (https://git.lumc.nl/neuroscience/multicomponent_t2_epg)7 and from the multiecho MRS data using both
nonlinear least squares8 and
T2-NNLS9.Results
Water T2 was
significantly (p<0.0001) elevated in both the DMD and BMD Sol and VL
compared to unaffected controls (Fig 1 and 2).
Water T2 was elevated above two standard deviations of
control levels in 73% of the SOL and in 50% of VL DMD measurements, 33% and 39%
of the SOL and VL muscles of BMD participants, and in 35 and 29% of the Sol and
VL muscles of MCs (Fig 3). Elevated water
T2 was observed in muscles that had fat fractions lower than 6% in
all three patient groups
(i.e.,
2SD of mean control values).
Elevated
muscle water T2 was also detected in the SOL muscle using the quantitative
MSE sequence
combined
with EPG analysis.
All
except for three DMD boys had water T2 values above the upper 95% CL
(dotted line in Fig 4) for controls. Whereas
four manifesting carriers and 52% of BMD SOL muscle water T2 values
were above the 95% CL for controls (Fig 4).
SOL water T2 determined by MRI and MRS was found to be directly related
(Fig 5; r^2=0.69, P<0.0001).Conclusions
These
results indicate that water T2 can be elevated
in
individuals living with dystrophin deficits, which includes patients with DMD,
BMD and manifesting carriers. This has
important implications when evaluating therapeutics aimed at decreasing
inflammation (e.g., corticosteroids or NFkb inhibitors) or disease modifying
interventions, such as gene therapies.Acknowledgements
We would like to acknowledge helpful discussions with Hermien Kan, Martijn Froeling, Jan-Willem Beenakker and Kevin Keene and for helping to make the EPG water T2 Matlab program available for this work. This work was supported by the NIH (R01AR056973,
P50AR052646
), parent project muscular dystrophy (Barnard) and the entire iNMD consortium.References
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