Helmholtz Gemeinschaft


Acute kidney injury biomarkers in the single cell transcriptomic era

PDF (Accepted Manuscript (final draft)) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Item Type:Review
Title:Acute kidney injury biomarkers in the single cell transcriptomic era
Creators Name:Hinze, C. and Schmidt-Ott, K.M.
Abstract:Acute kidney injury (AKI) affects many hospitalized patients and is associated with increased morbidity and mortality even at milder and reversible stages. The current clinical definition relies on serum creatinine increases or a decreased urinary output. However, both parameters are of limited use because of poor sensitivity, specificity, and timeliness. Furthermore, the complex pathophysiology and diverse etiologies underlying AKI confound these issues. Precise biomarkers for specific aspects of AKI are needed. Earlier AKI biomarkers were unsuccessful in addressing these needs because they either lacked sensitivity and specificity or failed to aid in guiding clinical management. The advent of single cell transcriptomics technologies provides an unprecedented opportunity to analyze cells from urine, blood, or kidney biopsies to elucidate the detailed, cell-specific, molecular responses in AKI. These technologies uncover the cellular sources of traditional biomarkers, capture patient heterogeneity, define cell states associated with different AKI subtypes, and might eventually help to predict therapeutic response. We discuss how single cell technologies might transform diagnostic approaches to AKI by moving from single biomarkers to cell-specific molecular signatures.
Keywords:Acute Kidney Injury, Biomarkers, Single Cell Transcriptomics
Source:American Journal of Physiology Cell Physiology
Publisher:American Physiological Society (APS)
Page Range:C1430-C1443
Date:9 November 2022
Additional Information:Copyright © 2022 the American Physiological Society.
Official Publication:https://doi.org/10.1152/ajpcell.00079.2022
PubMed:View item in PubMed

Repository Staff Only: item control page


Downloads per month over past year

Open Access
MDC Library