The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Tuning Chemistry and Topography of Nanoengineered Surfaces to Manipulate Immune Response for Bone Regeneration Applications
Open accessAbstract
Osteoimmunomodulation has informed the importance of modulating a favorable osteoimmune environment for successful materials-mediated bone regeneration. Nanotopography is regarded as a valuable strategy for developing advanced bone materials, due to its positive effects on enhancing osteogenic differentiation. In addition to this direct effect on osteoblastic lineage cells, nanotopography also plays a vital role in regulating immune responses, which makes it possible to utilize its immunomodulatory properties to create a favorable osteoimmune environment. Therefore, the aim of this study was to advance the applications of nanotopography with respect to its osteoimmunomodulatory properties, aiming to shed further light on this field. We found that tuning the surface chemistry (amine or acrylic acid) and scale of the nanotopography (16, 38, and 68 nm) significantly modulated the osteoimmune environment, including changes in the expression of inflammatory cytokines, osteoclastic activities, and osteogenic, angiogenic, and fibrogenic factors. The generated osteoimmune environment significantly affected the osteogenic differentiation of bone marrow stromal cells, with carboxyl acid-tailored 68 nm surface nanotopography offering the most promising outcome. This study demonstrated that the osteoimmunomodulation could be manipulated via tuning the chemistry and nanotopography, which implied a valuable strategy to apply a "nanoengineered surface" for the development of advanced bone biomaterials with favorable osteoimmunomodulatory properties.
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
A role for mitochondria in nlrp3 inflammasome activation
Zhou, R., Yazdi, A. S., Menu, P., & Tschopp, J. (2011) · Nature · doi:10.1038/nature09663 · Cited by 5,602
Autophagy in infection, inflammation and immunity
Deretic, V., Saitoh, T., & Akira, S. (2013) · Nature Reviews Immunology · doi:10.1038/nri3532 · Cited by 1,919
Developing a pro-regenerative biomaterial scaffold microenvironment requires T helper 2 cells
Sadtler, K., Estrellas, K., Allen, B. W., Wolf, M. T., Fan, H., Tam, A. J., Patel, C. H., Luber, B. S., Wang, H., Wagner, K. R., et al. (2016) · Science · doi:10.1126/science.aad9272 · Cited by 605
Autophagy and cellular immune responses
Ma, Y., Galluzzi, L., Zitvogel, L., & Kroemer, G. (2013) · Immunity · doi:10.1016/j.immuni.2013.07.017 · Cited by 447
Impact of polymer hydrophilicity on biocompatibility: Implication for DES polymer design
Hezi‐Yamit, A., Sullivan, C., Wong, J., David, L., Chen, M., Cheng, P., Shumaker, D., Wilcox, J. N., & Udipi, K. (2009) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.32057 · Cited by 165
Cited by
Current Advances in Immunomodulatory Biomaterials for Bone Regeneration
Lee, J., Byun, H., Madhurakkat Perikamana, S. K., Lee, S., & Shin, H. (2019) · Advanced Healthcare Materials · doi:10.1002/adhm.201801106 · Cited by 452
Jin, S.-S., He, D.-Q., Luo, D., Wang, Y., Yu, M., Guan, B., Fu, Y., Li, Z.-X., Zhang, T., Zhou, Y.-H., et al. (2019) · ACS Nano · doi:10.1021/acsnano.9b00489 · Cited by 357
Fan, L., Guan, P., Xiao, C., Wen, H., Wang, Q., Liu, C., Luo, Y., Ma, L., Tan, G., Yu, P., et al. (2021) · Bioactive Materials · doi:10.1016/j.bioactmat.2021.02.005 · Cited by 152
Sadowska, J. M., & Ginebra, M.-P. (2020) · Journal of Materials Chemistry B · doi:10.1039/d0tb01379j · Cited by 144
Zhang, P., Liu, X., Guo, P., Li, X., He, Z., Li, Z., Stoddart, M. J., Grad, S., Tian, W., Chen, D., et al. (2021) · Bioactive Materials · doi:10.1016/j.bioactmat.2021.02.024 · Cited by 54
Metadata
- Authors
- Chen, Z., Bachhuka, A., Han, S., Wei, F., Lu, S., Visalakshan, R. M., Vasilev, K., & Xiao, Y.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-04-21
- Volume
- 11
- Issue
- 5
- Pages
- 4494-4506
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2606910875
- Cited by
- 298
- References
- 5
- FWCI
- 12.11
- 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
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.
