A perspective on muscle phenotyping in musculoskeletal research

Ines Foessl*, Cheryl L. Ackert-Bicknell, Erika Kague, Faidra Laskou, Franz Jakob, David Karasik, Barbara Obermayer-Pietsch, Nerea Alonso, Åshild Bjørnerem, Maria Luisa Brandi, Björn Busse, Ângelo Calado, Alper Han Cebi, Maria Christou, Kathleen M. Curran, Jannie Dahl Hald, Maria Donatella Semeraro, Eleni Douni, Emma L. Duncan, Ivan DuranMelissa M. Formosa, Yankel Gabet, Samuel Ghatan, Artemis Gkitakou, Eva Maria Hassler, Wolfgang Högler, Terhi J. Heino, Gretl Hendrickx, Patricia Khashayar, Douglas P. Kiel, Fjorda Koromani, Bente Langdahl, Philippe Lopes, Outi Mäkitie, Antonio Maurizi, Carolina Medina-Gomez, Evangelia Ntzani, Claes Ohlsson, Vid Prijatelj, Raquel Rabionet, Sjur Reppe, Fernando Rivadeneira, Gennady Roshchupkin, Neha Sharma, Kent Søe, Unnur Styrkarsdottir, Pavel Szulc, Jeroen van de Peppel, Bram van der Eerden, M. Carola Zillikens

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

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Abstract

Musculoskeletal research should synergistically investigate bone and muscle to inform approaches for maintaining mobility and to avoid bone fractures. The relationship between sarcopenia and osteoporosis, integrated in the term ‘osteosarcopenia’, is underscored by the close association shown between these two conditions in many studies, whereby one entity emerges as a predictor of the other. In a recent workshop of Working Group (WG) 2 of the EU Cooperation in Science and Technology (COST) Action ‘Genomics of MusculoSkeletal traits Translational Network’ (GEMSTONE) consortium (CA18139), muscle characterization was highlighted as being important, but currently under-recognized in the musculoskeletal field. Here, we summarize the opinions of the Consortium and research questions around translational and clinical musculoskeletal research, discussing muscle phenotyping in human experimental research and in two animal models: zebrafish and mouse.

Original languageEnglish
Pages (from-to)478-489
Number of pages12
JournalTrends in Endocrinology and Metabolism
Volume35
Issue number6
DOIs
Publication statusPublished - Jun 2024

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