Postexercise Lactate Clearance, T(2) Relaxation, and J-Modulation in Human Skeletal Muscle Measured With Double-Quantum Filtered (1)H MRS at 7 T

利用7T双量子滤波(1)H MRS测量人体骨骼肌运动后乳酸清除率、T2弛豫和J调制

阅读:1

Abstract

PURPOSE: (1)H MRS lactate measurements are potentially valuable for studying energy metabolism in working skeletal muscle, but some technical obstacles need to be overcome. Spectral filtering to isolate the lactate signal from overlapping lipid resonances shows promise. We report a novel sequence with 3D localisation and a CH-selective double quantum filter (DQF) which enables dynamic postexercise single-shot measurement of cellular lactate T(2) and clearance kinetics. METHODS: Using a two-channel (1)H transceiver coil at 7 T we applied a localized CH-selective DQF sequence to postexercise calf muscle in 11 subjects. In one leg acquisitions with constant and incrementing T(E) were interleaved to measure lactate decrease and T(2). In the other the CH-selective sequence was interleaved with the nonselective variant. RESULTS: Postexercise DQF shows lactate clearly in 4 s single-shot spectra. Fitting was able to separate lactate concentration kinetics from T(2) and J-modulation: clearance t(1/2) = 162 ± 42 s and T(2) = 138 ± 20 ms (mean ± SD); the scalar coupling constant fitted from time evolution was J = 16.6 ± 0.8 Hz, closely matching J = 16.5 ± 1.3 Hz derived from spectral splitting. Direct comparison showed 2.3 ± 0.9 times higher signal with the new CH-selective sequence. CONCLUSIONS: The new sequence improved lactate detection, enabling quantification from single shots postexercise with time resolution similar to (31)P MRS. Measuring clearance and relaxation time constants of intramuscular lactate lays the groundwork for future absolute quantification and studies of intra- and extracellular lactate compartmentation based on dipolar coupling differences.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。