Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/130592
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Type: Journal article
Title: Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
Author: Mahbub, S.B.
Nguyen, L.T.
Habibalahi, A.
Campbell, J.M.
Anwer, A.G.
Qadri, U.M.
Gill, A.
Chou, A.
Wong, M.G.
Gosnell, M.E.
Pollock, C.A.
Saad, S.
Goldys, E.M.
Citation: Scientific Reports, 2021; 11(1):10655-1-10655-10
Publisher: Nature Publishing Group
Issue Date: 2021
ISSN: 2045-2322
2045-2322
Statement of
Responsibility: 
Saabah B. Mahbub, Long T. Nguyen, Abbas Habibalahi, Jared M. Campbell, Ayad G. Anwer, Uzair M. Qadri ... et al.
Abstract: Optimally preserved urinary exfoliated renal proximal tubule cells were assessed by multispectral imaging of cell autofluorescence. We demonstrated different multispectral autofluorescence signals in such cells extracted from the urine of patients with healthy or diseased kidneys. Using up to 10 features, we were able to differentiate cells from individuals with heathy kidneys and impaired renal function (indicated by estimated glomerular filtration rate (eGFR) values) with the receiver operating characteristic area under the curve (AUC) of 0.99. Using the same method, we were also able to discriminate such urine cells from patients with and without renal fibrosis on biopsy, where significant differences in multispectral autofluorescence signals (AUC = 0.90) were demonstrated between healthy and diseased patients (p < 0.05). These findings show that multispectral assessment of the cell autofluorescence in urine exfoliated proximal tubule kidney cells has the potential to be developed as a sensitive, non-invasive diagnostic method for CKD.
Rights: © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/.
DOI: 10.1038/s41598-021-89758-4
Grant ID: http://purl.org/au-research/grants/nhmrc/1144619
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