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Original Articles

Probing the influence of SIBLING proteins on collagen-I fibrillogenesis and denaturation

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Pages 274-286 | Received 30 Jun 2017, Accepted 07 Sep 2017, Published online: 04 Oct 2017
 

ABSTRACT

Bone tissue is comprised of collagen, non-collagenous proteins, and hydroxyapatite and the SIBLING (small integrin binding, N-linked glycoprotein) family of proteins is the primary group of non-collagenous proteins. By replicating the native interactions between collagen and the SIBLING proteins at the interface of an implant, it is believed that a bone scaffold will more easily integrate with the surrounding tissue. In this work, bone sialoprotein, osteopontin (OPN), dentin sialoprotein (DSP), dentin phosphoprotein (DPP), C-terminal fragment of dentin matrix protein 1 (DMP1-C), and proteoglycan versions of DSP (DSP-PG) and DMP1 (DMP1-PG) were tested individually to determine their roles in collagen fibrillogenesis and the prevention of denaturation. It was shown that DSP and DPP slowed down fibrillogenesis, while other SIBLINGs had limited impact. In addition, the denaturation time was faster in the presence of DSP and OPN, indicating a negative impact. The role of calcium ions in these processes was also investigated. The presence of calcium ions sped up fibrillogenesis in all scenarios tested, but it had a negative impact by reducing the extent. Calcium also sped up the denaturation in most cases, with the exception of DMP1-C and DSP where the opposite was seen. Calcium had a similar effect on the proteoglycan variants in the fibrillogenesis process, but had no impact on the denaturation process in the presence of these two. It is believed that incorporating DMP1-C or DSP on the surface of a bone implant may improve the collagen interactions with the implant, thereby facilitating improved osteointegration.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the article.

Funding

This research was supported in part by the University of Missouri College of Engineering (MTB) and by the National Institutes of Health through grant R01DE022549 (CQ).

Supplemental data

Supplemental data for this article can be access on the publisher’s website.

Additional information

Funding

This research was supported in part by the University of Missouri College of Engineering (MTB) and by the National Institute of Health through grant R01DE022549 (CQ).

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