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Predicting the risk for corneal graft rejection by aqueous humor analysis
PURPOSE: Cytokine patterns determined in the aqueous humor before penetrating keratoplasty (PK) may enable us to predict immune reactions (IR). We therefore analyzed 6 cytokines in the aqueous humor of patients before PK. By prospective clinical follow-up, we tested whether patients who developed an...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Molecular Vision
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3084217/ https://www.ncbi.nlm.nih.gov/pubmed/21541263 |
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author | Maier, Philip Heizmann, Ulrike Böhringer, Daniel Kern, Yvonne Reinhard, Thomas |
author_facet | Maier, Philip Heizmann, Ulrike Böhringer, Daniel Kern, Yvonne Reinhard, Thomas |
author_sort | Maier, Philip |
collection | PubMed |
description | PURPOSE: Cytokine patterns determined in the aqueous humor before penetrating keratoplasty (PK) may enable us to predict immune reactions (IR). We therefore analyzed 6 cytokines in the aqueous humor of patients before PK. By prospective clinical follow-up, we tested whether patients who developed an IR would present different preoperative cytokine patterns compared to patients without IR. METHODS: We analyzed 18 samples of aqueous humor from 18 patients undergoing PK. The following cytokines were analyzed by cytometric bead array: interleukin 2 (IL-2), interleukin 4 (IL-4), interleukin 5 (IL-5), interleukin 10 (IL-10), tumor-necrosis-factor α (TNF-α), and interferon γ (INF-γ). Seven patients presented with signs of IR during follow up. We performed Cox proportional hazards analysis to determine significant predictors for IR. We iteratively eliminated all co-variates with p values over 0.1 from the survival model (backward selection). RESULTS: Our final Cox model included the hazardous factors IL-4 (p=0.043) and INF-γ (p=0.059), protective factors IL-2 (p=0.081), IL-5 (p=0.028), and age at time of surgery (p=0.029). We performed a linear discriminant analysis based on these coefficients. The resulting function was: (−9.979*IL5) + (9.262*IL4) + (−3.928*IL2) + (1.709*IFN-γ) + (−0.183*age). A median of −4.97 separated patients with and without IR with no classification error. CONCLUSIONS: We demonstrate that cytokine levels in the aqueous humor can be predictive for IR. Our method allowed an almost 100% separation between patients with and without IR. This finding has the potential to improve the aftercare of PK fundamentally. However, our results need to be confirmed in a larger prospective cohort. |
format | Text |
id | pubmed-3084217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Vision |
record_format | MEDLINE/PubMed |
spelling | pubmed-30842172011-05-03 Predicting the risk for corneal graft rejection by aqueous humor analysis Maier, Philip Heizmann, Ulrike Böhringer, Daniel Kern, Yvonne Reinhard, Thomas Mol Vis Research Article PURPOSE: Cytokine patterns determined in the aqueous humor before penetrating keratoplasty (PK) may enable us to predict immune reactions (IR). We therefore analyzed 6 cytokines in the aqueous humor of patients before PK. By prospective clinical follow-up, we tested whether patients who developed an IR would present different preoperative cytokine patterns compared to patients without IR. METHODS: We analyzed 18 samples of aqueous humor from 18 patients undergoing PK. The following cytokines were analyzed by cytometric bead array: interleukin 2 (IL-2), interleukin 4 (IL-4), interleukin 5 (IL-5), interleukin 10 (IL-10), tumor-necrosis-factor α (TNF-α), and interferon γ (INF-γ). Seven patients presented with signs of IR during follow up. We performed Cox proportional hazards analysis to determine significant predictors for IR. We iteratively eliminated all co-variates with p values over 0.1 from the survival model (backward selection). RESULTS: Our final Cox model included the hazardous factors IL-4 (p=0.043) and INF-γ (p=0.059), protective factors IL-2 (p=0.081), IL-5 (p=0.028), and age at time of surgery (p=0.029). We performed a linear discriminant analysis based on these coefficients. The resulting function was: (−9.979*IL5) + (9.262*IL4) + (−3.928*IL2) + (1.709*IFN-γ) + (−0.183*age). A median of −4.97 separated patients with and without IR with no classification error. CONCLUSIONS: We demonstrate that cytokine levels in the aqueous humor can be predictive for IR. Our method allowed an almost 100% separation between patients with and without IR. This finding has the potential to improve the aftercare of PK fundamentally. However, our results need to be confirmed in a larger prospective cohort. Molecular Vision 2011-04-25 /pmc/articles/PMC3084217/ /pubmed/21541263 Text en Copyright © 2011 Molecular Vision. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Maier, Philip Heizmann, Ulrike Böhringer, Daniel Kern, Yvonne Reinhard, Thomas Predicting the risk for corneal graft rejection by aqueous humor analysis |
title | Predicting the risk for corneal graft rejection by aqueous humor analysis |
title_full | Predicting the risk for corneal graft rejection by aqueous humor analysis |
title_fullStr | Predicting the risk for corneal graft rejection by aqueous humor analysis |
title_full_unstemmed | Predicting the risk for corneal graft rejection by aqueous humor analysis |
title_short | Predicting the risk for corneal graft rejection by aqueous humor analysis |
title_sort | predicting the risk for corneal graft rejection by aqueous humor analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3084217/ https://www.ncbi.nlm.nih.gov/pubmed/21541263 |
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