Identification and detection of microRNA kidney disease biomarkers in liquid biopsies

Smith, Daniel A. ORCID: https://orcid.org/0000-0003-3145-3160, Redman, James E. ORCID: https://orcid.org/0000-0001-5492-2869, Fraser, Donald J. ORCID: https://orcid.org/0000-0003-0102-9342 and Bowen, Timothy ORCID: https://orcid.org/0000-0001-6050-0435 2023. Identification and detection of microRNA kidney disease biomarkers in liquid biopsies. Current Opinion in Nephrology and Hypertension 32 (6) , pp. 515-521. 10.1097/MNH.0000000000000927 Item availability restricted.

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Abstract

Purpose of review MicroRNAs (miRNAs) are emerging rapidly as a novel class of biomarkers of major organ disorders, including kidney diseases. However, current PCR-based detection methods are not amenable to development for high-throughput, cost-effective miRNA biomarker quantification. Recent findings MiRNA biomarkers show significant promise for diagnosis and prognosis of kidney diseases, including diabetic kidney disease, acute kidney injury, IgA nephropathy and delayed graft function following kidney transplantation. A variety of novel methods to detect miRNAs in liquid biopsies including urine, plasma and serum are being developed. As miRNAs are functional transcripts that regulate the expression of many protein coding genes, differences in miRNA profiles in disease also offer clues to underlying disease mechanisms. Summary Recent findings highlight the potential of miRNAs as biomarkers to detect and predict progression of kidney diseases. Developing in parallel, novel methods for miRNA detection will facilitate the integration of these biomarkers into rapid routine clinical testing and existing care pathways. Validated kidney disease biomarkers also hold promise to identify novel therapeutic tools and targets.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Chemistry Medicine
Publisher:	Lippincott, Williams & Wilkins
ISSN:	1062-4821
Date of First Compliant Deposit:	26 October 2023
Date of Acceptance:	26 October 2023
Last Modified:	10 Nov 2024 22:15
URI:	https://orca.cardiff.ac.uk/id/eprint/163511

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