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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
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.
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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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