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Identification of Novel Biomarkers for Predicting Kidney Injury Due to Drugs Using “Omic” Strategies

Drug-induced kidney injury accounts for 20% of community- and hospital-acquired cases of acute kidney injury (AKI). The incidence is higher among older individuals, who often have co-existing morbidities and are exposed to more diagnostic procedures and therapies. While demographic and clinical comp...

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Autores principales: Awdishu, Linda, Atilano-Roque, Amandla, Tuey, Stacey, Joy, Melanie S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719321/
https://www.ncbi.nlm.nih.gov/pubmed/33293850
http://dx.doi.org/10.2147/PGPM.S239471
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author Awdishu, Linda
Atilano-Roque, Amandla
Tuey, Stacey
Joy, Melanie S
author_facet Awdishu, Linda
Atilano-Roque, Amandla
Tuey, Stacey
Joy, Melanie S
author_sort Awdishu, Linda
collection PubMed
description Drug-induced kidney injury accounts for 20% of community- and hospital-acquired cases of acute kidney injury (AKI). The incidence is higher among older individuals, who often have co-existing morbidities and are exposed to more diagnostic procedures and therapies. While demographic and clinical components have been identified as risk factors, the proposed cellular mechanisms of drug-induced kidney injury are numerous and complicated. There are also limitations recognized in the use of traditional biomarkers, such as serum creatinine and blood urea nitrogen, to provide high sensitivity, specificity, and timeliness to identification of drug-induced kidney injury. Therefore, novel biomarkers are currently being investigated, identified, developed, and validated for their performance over the traditional biomarkers. This review will provide an overview of drug-induced kidney injury and will discuss what is known regarding “omic” (proteomic, genomic, transcriptomic, and metabolomic) biomarker strategies for drugs known to induce nephrotoxicity.
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spelling pubmed-77193212020-12-07 Identification of Novel Biomarkers for Predicting Kidney Injury Due to Drugs Using “Omic” Strategies Awdishu, Linda Atilano-Roque, Amandla Tuey, Stacey Joy, Melanie S Pharmgenomics Pers Med Review Drug-induced kidney injury accounts for 20% of community- and hospital-acquired cases of acute kidney injury (AKI). The incidence is higher among older individuals, who often have co-existing morbidities and are exposed to more diagnostic procedures and therapies. While demographic and clinical components have been identified as risk factors, the proposed cellular mechanisms of drug-induced kidney injury are numerous and complicated. There are also limitations recognized in the use of traditional biomarkers, such as serum creatinine and blood urea nitrogen, to provide high sensitivity, specificity, and timeliness to identification of drug-induced kidney injury. Therefore, novel biomarkers are currently being investigated, identified, developed, and validated for their performance over the traditional biomarkers. This review will provide an overview of drug-induced kidney injury and will discuss what is known regarding “omic” (proteomic, genomic, transcriptomic, and metabolomic) biomarker strategies for drugs known to induce nephrotoxicity. Dove 2020-12-02 /pmc/articles/PMC7719321/ /pubmed/33293850 http://dx.doi.org/10.2147/PGPM.S239471 Text en © 2020 Awdishu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Review
Awdishu, Linda
Atilano-Roque, Amandla
Tuey, Stacey
Joy, Melanie S
Identification of Novel Biomarkers for Predicting Kidney Injury Due to Drugs Using “Omic” Strategies
title Identification of Novel Biomarkers for Predicting Kidney Injury Due to Drugs Using “Omic” Strategies
title_full Identification of Novel Biomarkers for Predicting Kidney Injury Due to Drugs Using “Omic” Strategies
title_fullStr Identification of Novel Biomarkers for Predicting Kidney Injury Due to Drugs Using “Omic” Strategies
title_full_unstemmed Identification of Novel Biomarkers for Predicting Kidney Injury Due to Drugs Using “Omic” Strategies
title_short Identification of Novel Biomarkers for Predicting Kidney Injury Due to Drugs Using “Omic” Strategies
title_sort identification of novel biomarkers for predicting kidney injury due to drugs using “omic” strategies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719321/
https://www.ncbi.nlm.nih.gov/pubmed/33293850
http://dx.doi.org/10.2147/PGPM.S239471
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