The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Extracellular matrix composition of connective tissues: a systematic review and meta-analysis
Open accessAbstract
The function of connective tissues depends on the physical and biochemical properties of their extracellular matrix (ECM), which are in turn dictated by ECM protein composition. With the primary objective of obtaining quantitative estimates for absolute and relative amounts of ECM proteins, we performed a systematic review of papers reporting protein composition of human connective tissues. Articles were included in meta-analysis if they contained absolute or relative quantification of proteins found in the ECM of human bone, adipose tissue, tendon, ligament, cartilage and skeletal muscle. We generated absolute quantitative estimates for collagen in articular cartilage, intervertebral disk (IVD), skeletal muscle, tendon, and adipose tissue. In addition, sulfated glycosaminoglycans were quantified in articular cartilage, tendon and skeletal muscle; total proteoglycans in IVD and articular cartilage, fibronectin in tendon, ligament and articular cartilage, and elastin in tendon and IVD cartilage. We identified significant increases in collagen content in the annulus fibrosus of degenerating IVD and osteoarthritic articular cartilage, and in elastin content in degenerating disc. In contrast, collagen content was decreased in the scoliotic IVD. Finally, we built quantitative whole-tissue component breakdowns. Quantitative estimates improve our understanding of composition of human connective tissues, providing insights into their function in physiology and pathology.
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Metadata
- Authors
- McKee, T. J., Perlman, G., Morris, M., & Komarova, S. V.
- Venue
- Scientific Reports
- Published
- 2019-07-22
- Volume
- 9
- Issue
- 1
- Pages
- 10542-10542
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2962763288
- Cited by
- 266
- References
- 47
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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