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The Effect of High-Altitude on Human Skeletal Muscle Energetics: 31P-MRS Results from the Caudwell Xtreme Everest Expedition

Overview of attention for article published in PLOS ONE, May 2010
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Title
The Effect of High-Altitude on Human Skeletal Muscle Energetics: 31P-MRS Results from the Caudwell Xtreme Everest Expedition
Published in
PLOS ONE, May 2010
DOI 10.1371/journal.pone.0010681
Pubmed ID
Authors

Lindsay M. Edwards, Andrew J. Murray, Damian J. Tyler, Graham J. Kemp, Cameron J. Holloway, Peter A. Robbins, Stefan Neubauer, Denny Levett, Hugh E. Montgomery, Mike P. Grocott, Kieran Clarke

Abstract

Many disease states are associated with regional or systemic hypoxia. The study of healthy individuals exposed to high-altitude hypoxia offers a way to explore hypoxic adaptation without the confounding effects of disease and therapeutic interventions. Using (31)P magnetic resonance spectroscopy and imaging, we investigated skeletal muscle energetics and morphology after exposure to hypobaric hypoxia in seven altitude-naïve subjects (trekkers) and seven experienced climbers. The trekkers ascended to 5300 m while the climbers ascended above 7950 m. Before the study, climbers had better mitochondrial function (evidenced by shorter phosphocreatine recovery halftime) than trekkers: 16+/-1 vs. 22+/-2 s (mean +/- SE, p<0.01). Climbers had higher resting [Pi] than trekkers before the expedition and resting [Pi] was raised across both groups on their return (PRE: 2.6+/-0.2 vs. POST: 3.0+/-0.2 mM, p<0.05). There was significant muscle atrophy post-CXE (PRE: 4.7+/-0.2 vs. POST: 4.5+/-0.2 cm(2), p<0.05), yet exercising metabolites were unchanged. These results suggest that, in response to high altitude hypoxia, skeletal muscle function is maintained in humans, despite significant atrophy.

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Geographical breakdown

Country Count As %
Chile 1 <1%
Germany 1 <1%
Norway 1 <1%
Brazil 1 <1%
Unknown 109 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 15%
Student > Bachelor 16 14%
Researcher 12 11%
Student > Master 11 10%
Lecturer 6 5%
Other 21 19%
Unknown 30 27%
Readers by discipline Count As %
Medicine and Dentistry 32 28%
Agricultural and Biological Sciences 18 16%
Sports and Recreations 10 9%
Biochemistry, Genetics and Molecular Biology 4 4%
Engineering 4 4%
Other 12 11%
Unknown 33 29%