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1.
Jung, M.* et al.: Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body magnetic resonance imaging population phenotyping approach. J. Cachexia Sarcopenia Muscle, DOI: 10.1002/jcsm.13527 (2024)
2.
Diallo, T.D.* et al.: Associations of myosteatosis with disc degeneration: A 3T magnetic resonance imaging study in individuals with impaired glycaemia. J. Cachexia Sarcopenia Muscle 14, 1249-1258 (2023)
3.
Ko, H.S.* et al.: Enhancing oncological care: A guide to setting up a new multidisciplinary cancer cachexia clinic within a tertiary centre. J. Cachexia Sarcopenia Muscle 15, 4-7 (2023)
4.
Kiefer, L.S.* et al.: Population-based cohort imaging: skeletal muscle mass by magnetic resonance imaging in correlation to bioelectrical-impedance analysis. J. Cachexia Sarcopenia Muscle 13, 976-986 (2022)
5.
Huemer, M.-T. et al.: Proteomic profiling of low muscle and high fat mass: A machine learning approach in the KORA S4/FF4 study. J. Cachexia Sarcopenia Muscle 12, 1011–1023 (2021)
6.
Morigny, P. et al.: Association of circulating PLA2G7 levels with cancer cachexia and assessment of darapladib as a therapy. J. Cachexia Sarcopenia Muscle, DOI: 10.1002/jcsm.12758 (2021)
7.
Kunzke, T. et al.: Derangements of amino acids in cachectic skeletal muscle are caused by mitochondrial dysfunction. J. Cachexia Sarcopenia Muscle 11, 226-240 (2020)
8.
Morigny, P. et al.: High levels of modified ceramides are a defining feature of murine and human cancer cachexia. J. Cachexia Sarcopenia Muscle 11, 1459-1475 (2020)
9.
Molocea, C.-E.* ; Schmidt, S.F.* ; Krahmer, N. ; Herzig, S. & Diaz, M.B.: Exploring the contribution of the liver to cancer cachexia development. J. Cachexia Sarcopenia Muscle, 1387 (2019)
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