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The Immune Cell Landscape in Renal Allografts
Immune cell infiltration plays an important role in the pathophysiology of kidney grafts, but the composition of immune cells is ill-defined. Here, we aimed at evaluating the levels and composition of infiltrating immune cells in kidney grafts. We used CIBERSORT, an established algorithm, to estimat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894583/ https://www.ncbi.nlm.nih.gov/pubmed/33593079 http://dx.doi.org/10.1177/0963689721995458 |
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author | Lu, Jun Zhang, Yi Sun, Jingjing Huang, Shulin Wu, Weizhen Tan, Jianming |
author_facet | Lu, Jun Zhang, Yi Sun, Jingjing Huang, Shulin Wu, Weizhen Tan, Jianming |
author_sort | Lu, Jun |
collection | PubMed |
description | Immune cell infiltration plays an important role in the pathophysiology of kidney grafts, but the composition of immune cells is ill-defined. Here, we aimed at evaluating the levels and composition of infiltrating immune cells in kidney grafts. We used CIBERSORT, an established algorithm, to estimate the proportions of 22 immune cell types based on gene expression profiles. We found that non-rejecting kidney grafts were characteristic with high rates of M2 macrophages and resting mast cells. The proportion of M1 macrophages and activated NK cells were increased in antibody-mediated rejection (ABMR). In T cell-mediated rejection (TCMR), a significant increase in CD8 T cell and γδT cell infiltration was observed. CD8 positive T cells were dramatically increased in mixed-ABMR/TCMR. Then, the function of ABMR and TCMR prognostic molecular biomarkers were identified. Finally, we described the gene expression of molecular markers for ABMR diagnosis was elevated and related to the ratio of monocytes and M1 macrophages in ABMR biopsies, while the expression of TCMR diagnosis markers was increased too and positively correlated with γδT cells and activated CD4 memory T cells in TCMR biopsies. Our data suggest that CIBERSORT’s deconvolution analysis of gene expression data provides valuable information on the composition of immune cells in renal allografts. |
format | Online Article Text |
id | pubmed-7894583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-78945832021-02-26 The Immune Cell Landscape in Renal Allografts Lu, Jun Zhang, Yi Sun, Jingjing Huang, Shulin Wu, Weizhen Tan, Jianming Cell Transplant Original Article Immune cell infiltration plays an important role in the pathophysiology of kidney grafts, but the composition of immune cells is ill-defined. Here, we aimed at evaluating the levels and composition of infiltrating immune cells in kidney grafts. We used CIBERSORT, an established algorithm, to estimate the proportions of 22 immune cell types based on gene expression profiles. We found that non-rejecting kidney grafts were characteristic with high rates of M2 macrophages and resting mast cells. The proportion of M1 macrophages and activated NK cells were increased in antibody-mediated rejection (ABMR). In T cell-mediated rejection (TCMR), a significant increase in CD8 T cell and γδT cell infiltration was observed. CD8 positive T cells were dramatically increased in mixed-ABMR/TCMR. Then, the function of ABMR and TCMR prognostic molecular biomarkers were identified. Finally, we described the gene expression of molecular markers for ABMR diagnosis was elevated and related to the ratio of monocytes and M1 macrophages in ABMR biopsies, while the expression of TCMR diagnosis markers was increased too and positively correlated with γδT cells and activated CD4 memory T cells in TCMR biopsies. Our data suggest that CIBERSORT’s deconvolution analysis of gene expression data provides valuable information on the composition of immune cells in renal allografts. SAGE Publications 2021-02-17 /pmc/articles/PMC7894583/ /pubmed/33593079 http://dx.doi.org/10.1177/0963689721995458 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Lu, Jun Zhang, Yi Sun, Jingjing Huang, Shulin Wu, Weizhen Tan, Jianming The Immune Cell Landscape in Renal Allografts |
title | The Immune Cell Landscape in Renal Allografts |
title_full | The Immune Cell Landscape in Renal Allografts |
title_fullStr | The Immune Cell Landscape in Renal Allografts |
title_full_unstemmed | The Immune Cell Landscape in Renal Allografts |
title_short | The Immune Cell Landscape in Renal Allografts |
title_sort | immune cell landscape in renal allografts |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894583/ https://www.ncbi.nlm.nih.gov/pubmed/33593079 http://dx.doi.org/10.1177/0963689721995458 |
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