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Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics
Joshua Rowland, Artur Akbarov, James Eales, Xiaoguang Xu, John Dormer, Hui Guo, Matthew Denniff, Xiao Jiang, Parisa Ranjzad, Alicja Nazgiewicz, Priscilla R. Prestes, Andrzej Antczak, Monika Szulińska, Ingrid Wise, E Zukowska-Szczechowska
Kidney International · 2019 · ▲ 54 citations
Abstract
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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- DOI
- 10.1016/j.kint.2018.10.029
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- 2026-07-25 MST
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APA
Rowland, J., Akbarov, A., Eales, J., Xu, X., Dormer, J., Guo, H., Denniff, M., Jiang, X., Ranjzad, P., Nazgiewicz, A., Prestes, P.R., Antczak, A., Szulińska, M., Wise, I., Zukowska-Szczechowska, E., Bogdański, P., Woolf, A.S., Samani, N.J., Charchar, F.J., & Tomaszewski, M. (2019). Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics. <em>Kidney International</em>. https://doi.org/10.1016/j.kint.2018.10.029
Vancouver
Rowland J, Akbarov A, Eales J, Xu X, Dormer J, Guo H, et al. Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics. Kidney International. 2019. doi:10.1016/j.kint.2018.10.029.
BibTeX
@article{joshua2019Uncove,
title = {Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics},
author = {Joshua Rowland and Artur Akbarov and James Eales and Xiaoguang Xu and John Dormer and Hui Guo and Matthew Denniff and Xiao Jiang and Parisa Ranjzad and Alicja Nazgiewicz and Priscilla R. Prestes and Andrzej Antczak and Monika Szulińska and Ingrid Wise and E Zukowska-Szczechowska and Paweł Bogdański and Adrian S. Woolf and Nilesh J. Samani and Fadi J. Charchar and Maciej Tomaszewski},
journal = {Kidney International},
year = {2019},
doi = {10.1016/j.kint.2018.10.029},
}
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