Health AI Central
Share:
Peer-Reviewed Publication
Adv Healthc Mater2026;e71641.August 24, 2026Journal Article

Silicone Breast Implants as a Model System for Understanding Polymer Permeation in Soft Materials In Vivo.

D Bouyer1, H Mutlu2,3,4,5,6,7, C Charmette1, E Randrianaridera3, Z Adaidi1, R Hedna3, L Pieuchot3, I Pluvy8, K Anselme3, N Couturier3, J P Mericq1, A Ponche3, I Brigaud3
1Institut Européen des Membranes, CNRS, IEM, Université De Montpellier, Montpellier, France.
2Department of Chemistry, Technical Polymer Chemistry, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU) Erwin-Schrödinger-Straße, Kaiserslautern, Germany.
3Institut de Science des Matériaux de Mulhouse, UMR 7361 CNRS/Université De Haute Alsace, Mulhouse Cedex, France.
4Laboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Humboldtstr. 10, Germany.
5Helmholtz Institute for Polymers in Energy Applications Jena (HIPOLE Jena), Jena, Germany.
6Helmholtz-Zentrum Berlin for Materials and Energy GmbH, Berlin, Germany.
7Leibniz-Institut für Verbundwerkstoffe (IVW) GmbH Erwin-Schrödinger-Straße 58, Kaiserslautern, Germany.
8CHU Besançon, Laboratoire SINERGIES, Service D'orthopédie, Traumatologie et Chirurgie Plastique, Université De Franche-Comté, Besançon, France.
PubMed DOI

Abstract

Silicone breast implants have long been associated with the gradual release of low molecular weight siloxanes from the inner gel through the implant membrane into the periprosthetic biological environment, a phenomenon commonly referred to as "gel bleed." Despite more than five decades of investigation spanning polymer science, transport theory, and biomedical research, the physicochemical mechani…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.