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Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics
Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney trans...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390171/ https://www.ncbi.nlm.nih.gov/pubmed/30784661 http://dx.doi.org/10.1016/j.kint.2018.10.029 |
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author | Rowland, Joshua Akbarov, Artur Eales, James Xu, Xiaoguang Dormer, John P. Guo, Hui Denniff, Matthew Jiang, Xiao Ranjzad, Parisa Nazgiewicz, Alicja Prestes, Priscilla Ribeiro Antczak, Andrzej Szulinska, Monika Wise, Ingrid A. Zukowska-Szczechowska, Ewa Bogdanski, Pawel Woolf, Adrian S. Samani, Nilesh J. Charchar, Fadi J. Tomaszewski, Maciej |
author_facet | Rowland, Joshua Akbarov, Artur Eales, James Xu, Xiaoguang Dormer, John P. Guo, Hui Denniff, Matthew Jiang, Xiao Ranjzad, Parisa Nazgiewicz, Alicja Prestes, Priscilla Ribeiro Antczak, Andrzej Szulinska, Monika Wise, Ingrid A. Zukowska-Szczechowska, Ewa Bogdanski, Pawel Woolf, Adrian S. Samani, Nilesh J. Charchar, Fadi J. Tomaszewski, Maciej |
author_sort | Rowland, Joshua |
collection | PubMed |
description | Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney transcriptomes from the TRANScriptome of renaL humAn TissuE Study (TRANSLATE) and the Cancer Genome Atlas identified 37 age-associated genes. For 19 of those genes, the association with age was replicated in 303 kidney transcriptomes from the Nephroseq resource. Surveying 42 nonrenal tissues from the Genotype–Tissue Expression project revealed that, for approximately a fifth of the replicated genes, the association with age was kidney-specific. Seventy-three percent of the replicated genes were associated with functional or histological parameters of age-related decline in kidney health, including glomerular filtration rate, glomerulosclerosis, interstitial fibrosis, tubular atrophy, and arterial narrowing. Common genetic variants in four of the age-related genes, namely LYG1, PPP1R3C, LTF and TSPYL5, correlated with the trajectory of age-related changes in their renal expression. Integrative analysis of genomic, epigenomic, and transcriptomic information revealed that the observed age-related decline in renal TSPYL5 expression was determined both genetically and epigenetically. Thus, this study revealed robust molecular signatures of the aging kidney and new regulatory mechanisms of age-related change in the kidney transcriptome. |
format | Online Article Text |
id | pubmed-6390171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-63901712019-03-07 Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics Rowland, Joshua Akbarov, Artur Eales, James Xu, Xiaoguang Dormer, John P. Guo, Hui Denniff, Matthew Jiang, Xiao Ranjzad, Parisa Nazgiewicz, Alicja Prestes, Priscilla Ribeiro Antczak, Andrzej Szulinska, Monika Wise, Ingrid A. Zukowska-Szczechowska, Ewa Bogdanski, Pawel Woolf, Adrian S. Samani, Nilesh J. Charchar, Fadi J. Tomaszewski, Maciej Kidney Int Article Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney transcriptomes from the TRANScriptome of renaL humAn TissuE Study (TRANSLATE) and the Cancer Genome Atlas identified 37 age-associated genes. For 19 of those genes, the association with age was replicated in 303 kidney transcriptomes from the Nephroseq resource. Surveying 42 nonrenal tissues from the Genotype–Tissue Expression project revealed that, for approximately a fifth of the replicated genes, the association with age was kidney-specific. Seventy-three percent of the replicated genes were associated with functional or histological parameters of age-related decline in kidney health, including glomerular filtration rate, glomerulosclerosis, interstitial fibrosis, tubular atrophy, and arterial narrowing. Common genetic variants in four of the age-related genes, namely LYG1, PPP1R3C, LTF and TSPYL5, correlated with the trajectory of age-related changes in their renal expression. Integrative analysis of genomic, epigenomic, and transcriptomic information revealed that the observed age-related decline in renal TSPYL5 expression was determined both genetically and epigenetically. Thus, this study revealed robust molecular signatures of the aging kidney and new regulatory mechanisms of age-related change in the kidney transcriptome. Elsevier 2019-03 /pmc/articles/PMC6390171/ /pubmed/30784661 http://dx.doi.org/10.1016/j.kint.2018.10.029 Text en © 2019 International Society of Nephrology. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rowland, Joshua Akbarov, Artur Eales, James Xu, Xiaoguang Dormer, John P. Guo, Hui Denniff, Matthew Jiang, Xiao Ranjzad, Parisa Nazgiewicz, Alicja Prestes, Priscilla Ribeiro Antczak, Andrzej Szulinska, Monika Wise, Ingrid A. Zukowska-Szczechowska, Ewa Bogdanski, Pawel Woolf, Adrian S. Samani, Nilesh J. Charchar, Fadi J. Tomaszewski, Maciej Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics |
title | Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics |
title_full | Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics |
title_fullStr | Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics |
title_full_unstemmed | Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics |
title_short | Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics |
title_sort | uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390171/ https://www.ncbi.nlm.nih.gov/pubmed/30784661 http://dx.doi.org/10.1016/j.kint.2018.10.029 |
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