Evaluating osteogenic effects associated with the incorporation of ascorbic acid in mineralized collagen scaffolds

Dewey, Marley J.; Timmer, Kyle B.; Blystone, Ashley; Lu, Crislyn; Harley, Brendan A. C.

doi:10.1002/jbm.a.37628

Cited by 2 publications

References 71 publications

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Shaping the mechanical properties of a gelatin hydrogel interface via amination

Adorno,

Timmer,

Chang

et al. 2024

Preprint

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Injuries to musculoskeletal interfaces, such as the tendon-to-bone insertion of the rotator cuff, present significant physiological and clinical challenges for repair due to complex gradients of structure, composition, and cellularity. Advances in interface tissue engineering require stratified biomaterials able to both provide local instructive signals to support multiple tissue phenotypes while also reducing the risk of strain concentrations and failure at the transition between dissimilar materials. Here, we describe adaptation of a thiolated gelatin (Gel-SH) hydrogel via selective amination of carboxylic acid subunits on the gelatin backbone. The magnitude and kinetics of HRP-mediated primary crosslinking and carbodiimide-mediated secondary crosslinking reactions can be tuned through amination and thiolation of carboxylic acid subunits on the gelatin backbone. We also show that a stratified biomaterial comprised of mineralized (bone-mimetic) and non-mineralized (tendon-mimetic) collagen scaffold compartments linked by an aminated Gel-SH hydrogel demonstrate improved mechanical performance and reduced strain concentrations. Together, these results highlight significant mechanical advantages that can be derived from modifying the gelatin macromer via controlled amination and thiolation and suggest an avenue for tuning the mechanical performance of hydrogel interfaces within stratified biomaterials.

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Shaping the mechanical properties of a gelatin hydrogel interface via amination

Adorno,

Timmer,

Chang

et al. 2024

Preprint

View full text Add to dashboard Cite

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Exploring the cytotoxic and antioxidant properties of lanthanide-doped ZnO nanoparticles: a study with machine learning interpretation

Mejia-Mendez,

Reza-Zaldívar,

Sanchez-Martinez

et al. 2024

J Nanobiotechnol

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Background Lanthanide-based nanomaterials offer a promising alternative for cancer therapy because of their selectivity and effectiveness, which can be modified and predicted by leveraging the improved accuracy and enhanced decision-making of machine learning (ML) modeling. Methods In this study, erbium (Er 3+ ) and ytterbium (Yb 3+ ) were used to dope zinc oxide (ZnO) nanoparticles (NPs). Various characterization techniques and biological assays were employed to investigate the physicochemical and optical properties of the (Er, Yb)-doped ZnO NPs, revealing the influence of the lanthanide elements. Results The (Er, Yb)-doped ZnO NPs exhibited laminar-type morphologies, negative surface charges, and optical bandgaps that vary with the presence of Er 3+ and Yb 3+ . The incorporation of lanthanide ions reduced the cytotoxicity activity of ZnO against HEPG-2, CACO-2, and U87 cell lines. Conversely, doping with Er 3+ and Yb 3+ enhanced the antioxidant activity of the ZnO against DPPH, ABTS, and H 2 O 2 radicals. The extra tree (ET) and random forest (RF) models predicted the relevance of the characterization results vis-à-vis the cytotoxic properties of the synthesized NPs. Conclusion This study demonstrates, for the first time, the synthesis of ZnO NPs doped with Er and Yb via a solution polymerization route. According to characterization results, it was unveiled that the effect of optical bandgap variations influenced the cytotoxic performance of the developed lanthanide-doped ZnO NPs, being the undoped ZnO NPs the most cytotoxic ones. The presence alone or in combination of Er and Yb enhanced their scavenging capacity. ML models such as ET and RF efficiently demonstrated that the concentration and cell line type are key parameters that influence the cytotoxicity of (Er, Yb)-doped ZnO NPs achieving high accuracy rates of 98.96% and 98.67%, respectively. This study expands the knowledge of lanthanides as dopants of nanomaterials for biological and medical applications and supports their potential in cancer therapy by integrating robust ML approaches. Graphical abstract

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Evaluating osteogenic effects associated with the incorporation of ascorbic acid in mineralized collagen scaffolds

Cited by 2 publications

References 71 publications

Shaping the mechanical properties of a gelatin hydrogel interface via amination

Shaping the mechanical properties of a gelatin hydrogel interface via amination

Exploring the cytotoxic and antioxidant properties of lanthanide-doped ZnO nanoparticles: a study with machine learning interpretation

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