Ramage, M. I., Johns, N., Deans, C. D.A., Ross, J. A., Preston, T. , Skipworth, R. J.E., Jacobi, C. and Fearon, K. C.H. (2018) The relationship between muscle protein content and CT-derived muscle radio-density in patients with upper GI cancer. Clinical Nutrition, 37(2), pp. 752-754. (doi: 10.1016/j.clnu.2016.12.016) (PMID:28041627)
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Abstract
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 μg/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.
| Item Type: | Articles |
|---|---|
| Additional Information: | This study was supported by Novartis [PO number 3001673636], and by ESPEN [ESPEN Research Fellowship Grant 2015]. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Preston, Professor Tom |
| Authors: | Ramage, M. I., Johns, N., Deans, C. D.A., Ross, J. A., Preston, T., Skipworth, R. J.E., Jacobi, C., and Fearon, K. C.H. |
| College/School: | College of Science and Engineering > Scottish Universities Environmental Research Centre |
| Journal Name: | Clinical Nutrition |
| Publisher: | Elsevier |
| ISSN: | 0261-5614 |
| ISSN (Online): | 1532-1983 |
| Published Online: | 26 December 2016 |
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