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Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology
Corneal grafts interact with their hosts via complex immunobiological processes that sometimes lead to graft failure. Prediction of graft failure is often a tedious task due to the genetic and nongenetic heterogeneity of patients. As in other areas of medicine, a reliable prediction method would imp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074162/ https://www.ncbi.nlm.nih.gov/pubmed/32098130 http://dx.doi.org/10.3390/jcm9020586 |
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author | Di Zazzo, Antonio Lee, Sang-Mok Sung, Jaemyoung Niutta, Matteo Coassin, Marco Mashaghi, Alireza Inomata, Takenori |
author_facet | Di Zazzo, Antonio Lee, Sang-Mok Sung, Jaemyoung Niutta, Matteo Coassin, Marco Mashaghi, Alireza Inomata, Takenori |
author_sort | Di Zazzo, Antonio |
collection | PubMed |
description | Corneal grafts interact with their hosts via complex immunobiological processes that sometimes lead to graft failure. Prediction of graft failure is often a tedious task due to the genetic and nongenetic heterogeneity of patients. As in other areas of medicine, a reliable prediction method would impact therapeutic decision-making in corneal transplantation. Valuable insights into the clinically observed heterogeneity of host responses to corneal grafts have emerged from multidisciplinary approaches, including genomics analyses, mechanical studies, immunobiology, and theoretical modeling. Here, we review the emerging concepts, tools, and new biomarkers that may allow for the prediction of graft survival. |
format | Online Article Text |
id | pubmed-7074162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70741622020-03-19 Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology Di Zazzo, Antonio Lee, Sang-Mok Sung, Jaemyoung Niutta, Matteo Coassin, Marco Mashaghi, Alireza Inomata, Takenori J Clin Med Review Corneal grafts interact with their hosts via complex immunobiological processes that sometimes lead to graft failure. Prediction of graft failure is often a tedious task due to the genetic and nongenetic heterogeneity of patients. As in other areas of medicine, a reliable prediction method would impact therapeutic decision-making in corneal transplantation. Valuable insights into the clinically observed heterogeneity of host responses to corneal grafts have emerged from multidisciplinary approaches, including genomics analyses, mechanical studies, immunobiology, and theoretical modeling. Here, we review the emerging concepts, tools, and new biomarkers that may allow for the prediction of graft survival. MDPI 2020-02-21 /pmc/articles/PMC7074162/ /pubmed/32098130 http://dx.doi.org/10.3390/jcm9020586 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Di Zazzo, Antonio Lee, Sang-Mok Sung, Jaemyoung Niutta, Matteo Coassin, Marco Mashaghi, Alireza Inomata, Takenori Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology |
title | Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology |
title_full | Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology |
title_fullStr | Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology |
title_full_unstemmed | Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology |
title_short | Variable Responses to Corneal Grafts: Insights from Immunology and Systems Biology |
title_sort | variable responses to corneal grafts: insights from immunology and systems biology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7074162/ https://www.ncbi.nlm.nih.gov/pubmed/32098130 http://dx.doi.org/10.3390/jcm9020586 |
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