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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2020
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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. |
format | Online Article Text |
id | pubmed-7719321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
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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