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Cited by 2,156

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Biomaterial-Centered Infection: Microbial Adhesion Versus Tissue Integration

Gristina, Anthony G.·1987·Science

Abstract

Biomaterials are being used with increasing frequency for tissue substitution. Complex devices such as total joint replacements and the total artificial heart represent combinations of polymers and metal alloys for system and organ replacement. The major barriers to the extended use of these devices are the possibility of bacterial adhesion to biomaterials, which causes biomaterial-centered infection, and the lack of successful tissue integration or compatibility with biomaterial surfaces. Interactions of biomaterials with bacteria and tissue cells are directed not only by specific receptors and outer membrane molecules on the cell surface, but also by the atomic geometry and electronic state of the biomaterial surface. An understanding of these mechanisms is important to all fields of medicine and is derived from and relevant to studies in microbiology, biochemistry, and physics. Modifications to biomaterial surfaces at an atomic level will allow the programming of cell-to-substratum events, thereby diminishing infection by enhancing tissue compatibility or integration, or by directly inhibiting bacterial adhesion.

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Crossref · 10.1126/science.3629258

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Metadata

Authors
Gristina, A. G.
Venue
Science
Published
1987-09-25
Volume
237
Issue
4822
Pages
1588-1595
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2089511414
Cited by
2,156
References
2
FWCI
18.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biomaterial-Centered Infection: Microbial Adhesion Versus Tissue Integration. https://app.cochat.ai/papers/10.1126/science.3629258
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Gristina, A. G. (1987). Biomaterial-Centered Infection: Microbial Adhesion Versus Tissue Integration. Science. https://doi.org/10.1126/science.3629258

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.