The relationship between muscle protein content and CT-derived muscle radio-density in patients with upper GI cancer

被引:12
|
作者
Ramage, Michael I. [1 ]
Johns, Neil [1 ]
Deans, Christopher D. A. [1 ]
Ross, James A. [1 ]
Preston, Thomas [2 ]
Skipworth, Richard J. E. [1 ]
Jacobi, Carsten [3 ]
Fearon, Kenneth C. H. [1 ]
机构
[1] Royal Infirm Edinburgh NHS Trust, Dept Clin Surg, 51 Little France Crescent, Edinburgh EH16 4SA, Midlothian, Scotland
[2] Scottish Univ Environm Res Ctr, Stable Isotope Biochem Lab, Rankine Ave,Scottish Enterprise Technol Pk, Glasgow G75 0QF, Lanark, Scotland
[3] Novartis Pharma AG, Muscle Grp, Musculoskeletal Dis Area, Novartis Campus,WSJ-152-2-72-04, CH-4056 Basel, Switzerland
关键词
Body composition; Cachexia; Cancer; Imaging analysis; Protein content; Skeletal muscle; SKELETAL-MUSCLE; BODY-COMPOSITION; CACHEXIA; OBESITY; MASS;
D O I
10.1016/j.clnu.2016.12.016
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Introduction: Cancer cachexia is a multifactorial syndrome characterized by skeletal muscle loss. Cross-sectional analysis of CT scans is a recognized research method for assessing skeletal muscle volume. However, little is known about the relationship between CT-derived estimates of muscle radio-density (SMD) and muscle protein content. We assessed the relationship between CT-derived body composition variables and the protein content of muscle biopsies from cancer patients. Methods: Rectus abdominis biopsies from cancer patients (n = 32) were analysed for protein content and correlated with phenotypic data gathered using CT body composition software. Results: Skeletal muscle protein content varied widely between patients (median mu g/mg wet weight = 89.3, range 70-141). There was a weak positive correlation between muscle protein content and SMD (r = 0.406, p = 0.021), and a weak positive correlation between protein content and percentage weight change (r = 0.416, p = 0.018). Conclusion: The protein content of skeletal muscle varies widely in cancer patients and cannot be accurately predicted by CT-derived muscle radio-density. (C) 2017 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
引用
收藏
页码:752 / 754
页数:3
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