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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...

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Autores principales: Lu, Jun, Zhang, Yi, Sun, Jingjing, Huang, Shulin, Wu, Weizhen, Tan, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
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.
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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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