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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...

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Autores principales: Di Zazzo, Antonio, Lee, Sang-Mok, Sung, Jaemyoung, Niutta, Matteo, Coassin, Marco, Mashaghi, Alireza, Inomata, Takenori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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