The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Bone and muscle: Interactions beyond mechanical
Open accessAbstract
The musculoskeletal system is significantly more complex than portrayed by traditional reductionist approaches that have focused on and studied the components of this system separately. While bone and skeletal muscle are the two largest tissues within this system, this system also includes tendons, ligaments, cartilage, joints and other connective tissue along with vascular and nervous tissue. Because the main function of this system is locomotion, the mechanical interaction among the major players of this system is essential for the many shapes and forms observed in vertebrates and even in invertebrates. Thus, it is logical that the mechanical coupling theories of musculoskeletal development exert a dominant influence on our understanding of the biology of the musculoskeletal system, because these relationships are relatively easy to observe, measure, and perturb. Certainly much less recognized is the molecular and biochemical interaction among the individual players of the musculoskeletal system. In this brief review article, we first introduce some of the key reasons why the mechanical coupling theory has dominated our view of bone-muscle interactions followed by summarizing evidence for the secretory nature of bones and muscles. Finally, a number of highly physiological questions that cannot be answered by the mechanical theories alone will be raised along with different lines of evidence that support both a genetic and a biochemical communication between bones and muscles. It is hoped that these discussions will stimulate new insights into this fertile and promising new way of defining the relationships between these closely related tissues. Understanding the cellular and molecular mechanisms responsible for biochemical communication between bone and muscle is important not only from a basic research perspective but also as a means to identify potential new therapies for bone and muscle diseases, especially for when they co-exist.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ahmed, A., Jorna, T., & Bhandari, S. (2016) · Nephron · doi:10.1159/000447068 · Cited by 11,717
Stöckl, S., Göttl, C., Grifka, J., & Grässel, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350089 · Cited by 4,656
Muscles, exercise and obesity: skeletal muscle as a secretory organ
Pedersen, B. K., & Febbraio, M. A. (2012) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2012.49 · Cited by 2,909
Endocrine regulation of energy metabolism by the skeleton
Lee, N. K., Sowa, H., Hinoi, E., Ferron, M., Ahn, J. D., Confavreux, C., Dacquin, R., Mee, P. J., McKee, M. D., Jung, D. Y., et al. (2007) · Cell · doi:10.1016/j.cell.2007.05.047 · Cited by 2,554
PRDM16 controls a brown fat/skeletal muscle switch
Seale, P., Bjork, B., Yang, W., Kajimura, S., Chin, S., Kuang, S., Scimè, A., Devarakonda, S., Conroe, H. M., Erdjument-Bromage, H., et al. (2008) · Nature · doi:10.1038/nature07182 · Cited by 2,347 · cited 1×
“Pedersen and colleagues were the first research group to invent the term, ‘myokines,’ and since then, other muscle secreted factors have been documented by several research labs, including IL-8 that seems to stimulate angiogenesis(10), brain-derived neutrophic factor (BDNF)(11), irisin, a potent regulator of the conve…”
BackgroundDouble muscling in cattle due to mutations in the myostatin gene
McPherron, A. C., & Lee, S.-J. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.23.12457 · Cited by 2,039
FGF23 induces left ventricular hypertrophy
Faul, C., Amaral, A. P., Oskouei, B., Hu, M.-C., Sloan, A., Isakova, T., Gutiérrez, O. M., Aguillon-Prada, R., Lincoln, J., Hare, J. M., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci46122 · Cited by 2,027
Shimada, T., Kakitani, M., Yamazaki, Y., Hasegawa, H., Takeuchi, Y., Fujita, T., Fukumoto, S., Tomizuka, K., & Yamashita, T. (2004) · Journal of Clinical Investigation · doi:10.1172/jci19081 · Cited by 1,596
A deletion in the bovine myostatin gene causes the double–muscled phenotype in cattle
Grobet, L., Royo Martin, L. J., Poncelet, D., Pirottin, D., Brouwers, B., Riquet, J., Schoeberlein, A., Dunner, S., Ménissier, F., Massabanda, J., et al. (1997) · Nature Genetics · doi:10.1038/ng0997-71 · Cited by 1,556
Clop, A., Marcq, F., Takeda, H., Pirottin, D., Tordoir, X., Bibé, B., Bouix, J., Caiment, F., Elsen, J.-M., Eychenne, F., et al. (2006) · Nature Genetics · doi:10.1038/ng1810 · Cited by 1,260
Cited by
Muscle, Bone, and Fat Crosstalk: The Biological Role of Myokines, Osteokines, and Adipokines
Kirk, B., Feehan, J., Lombardi, G., & Duque, G. (2020) · Current Osteoporosis Reports · doi:10.1007/s11914-020-00599-y · Cited by 510
Exercise as a prescription for patients with various diseases
Luan, X., Tian, X., Zhang, H., Huang, R., Li, N., Chen, P., & Wang, R. (2019) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2019.04.002 · Cited by 441
β-aminoisobutyric Acid, l-BAIBA, Is a Muscle-Derived Osteocyte Survival Factor
Kitase, Y., Vallejo, J. A., Gutheil, W., Vemula, H., Jähn, K., Yi, J., Zhou, J., Brotto, M., & Bonewald, L. F. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.041 · Cited by 219
Self-citationInteractions between Muscle and Bone—Where Physics Meets Biology
Herrmann, M., Engelke, K., Ebert, R., Müller-Deubert, S., Rudert, M., Ziouti, F., Jundt, F., Felsenberg, D., & Jakob, F. (2020) · Biomolecules · doi:10.3390/biom10030432 · Cited by 197
Muscle‐bone crosstalk and potential therapies for sarco‐osteoporosis
Li, G., Zhang, L., Wang, D., AIQudsy, L., Jiang, J. X., Xu, H., & Shang, P. (2019) · Journal of Cellular Biochemistry · doi:10.1002/jcb.28946 · Cited by 166
Metadata
- Authors
- Brotto, M., & Bonewald, L.
- Venue
- Bone
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 80
- Pages
- 109-114
- ISSN
- 1873-2763 (ISSN-L)
- 8756-3282
- OpenAlex
- W2132852711
- Cited by
- 351
- References
- 73
- FWCI
- 8.49
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bone and muscle: Interactions beyond mechanical. https://app.cochat.ai/papers/10.1016/j.bone.2015.02.010
- The paper
- Brotto, M., & Bonewald, L. (2015). Bone and muscle: Interactions beyond mechanical. Bone. https://doi.org/10.1016/j.bone.2015.02.010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
