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Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment
Millions of patients every year undergo gastrointestinal surgery. While often lifesaving, sutured and stapled reconnections leak in around 10% of cases. Currently, surgeons rely on the monitoring of surrogate markers and clinical symptoms, which often lack sensitivity and specificity, hence only off...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701692/ https://www.ncbi.nlm.nih.gov/pubmed/36437258 http://dx.doi.org/10.1038/s41467-022-34272-y |
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author | Anthis, Alexandre H. C. Abundo, Maria Paulene Neuer, Anna L. Tsolaki, Elena Rosendorf, Jachym Rduch, Thomas Starsich, Fabian H. L. Weisse, Bernhard Liska, Vaclav Schlegel, Andrea A. Shapiro, Mikhail G. Herrmann, Inge K. |
author_facet | Anthis, Alexandre H. C. Abundo, Maria Paulene Neuer, Anna L. Tsolaki, Elena Rosendorf, Jachym Rduch, Thomas Starsich, Fabian H. L. Weisse, Bernhard Liska, Vaclav Schlegel, Andrea A. Shapiro, Mikhail G. Herrmann, Inge K. |
author_sort | Anthis, Alexandre H. C. |
collection | PubMed |
description | Millions of patients every year undergo gastrointestinal surgery. While often lifesaving, sutured and stapled reconnections leak in around 10% of cases. Currently, surgeons rely on the monitoring of surrogate markers and clinical symptoms, which often lack sensitivity and specificity, hence only offering late-stage detection of fully developed leaks. Here, we present a holistic solution in the form of a modular, intelligent suture support sealant patch capable of containing and detecting leaks early. The pH and/or enzyme-responsive triggerable sensing elements can be read out by point-of-need ultrasound imaging. We demonstrate reliable detection of the breaching of sutures, in as little as 3 hours in intestinal leak scenarios and 15 minutes in gastric leak conditions. This technology paves the way for next-generation suture support materials that seal and offer disambiguation in cases of anastomotic leaks based on point-of-need monitoring, without reliance on complex electronics or bulky (bio)electronic implantables. |
format | Online Article Text |
id | pubmed-9701692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97016922022-11-29 Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment Anthis, Alexandre H. C. Abundo, Maria Paulene Neuer, Anna L. Tsolaki, Elena Rosendorf, Jachym Rduch, Thomas Starsich, Fabian H. L. Weisse, Bernhard Liska, Vaclav Schlegel, Andrea A. Shapiro, Mikhail G. Herrmann, Inge K. Nat Commun Article Millions of patients every year undergo gastrointestinal surgery. While often lifesaving, sutured and stapled reconnections leak in around 10% of cases. Currently, surgeons rely on the monitoring of surrogate markers and clinical symptoms, which often lack sensitivity and specificity, hence only offering late-stage detection of fully developed leaks. Here, we present a holistic solution in the form of a modular, intelligent suture support sealant patch capable of containing and detecting leaks early. The pH and/or enzyme-responsive triggerable sensing elements can be read out by point-of-need ultrasound imaging. We demonstrate reliable detection of the breaching of sutures, in as little as 3 hours in intestinal leak scenarios and 15 minutes in gastric leak conditions. This technology paves the way for next-generation suture support materials that seal and offer disambiguation in cases of anastomotic leaks based on point-of-need monitoring, without reliance on complex electronics or bulky (bio)electronic implantables. Nature Publishing Group UK 2022-11-27 /pmc/articles/PMC9701692/ /pubmed/36437258 http://dx.doi.org/10.1038/s41467-022-34272-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Anthis, Alexandre H. C. Abundo, Maria Paulene Neuer, Anna L. Tsolaki, Elena Rosendorf, Jachym Rduch, Thomas Starsich, Fabian H. L. Weisse, Bernhard Liska, Vaclav Schlegel, Andrea A. Shapiro, Mikhail G. Herrmann, Inge K. Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment |
title | Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment |
title_full | Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment |
title_fullStr | Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment |
title_full_unstemmed | Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment |
title_short | Modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment |
title_sort | modular stimuli-responsive hydrogel sealants for early gastrointestinal leak detection and containment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701692/ https://www.ncbi.nlm.nih.gov/pubmed/36437258 http://dx.doi.org/10.1038/s41467-022-34272-y |
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