Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features

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...

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Autores principales:	Saabah B. Mahbub, Long T. Nguyen, Abbas Habibalahi, Jared M. Campbell, Ayad G. Anwer, Uzair M. Qadri, Anthony Gill, Angela Chou, Muh Geot Wong, Martin E. Gosnell, Carol A. Pollock, Sonia Saad, Ewa M. Goldys
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5443aeae1749467793671f947216d1cc
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spelling	oai:doaj.org-article:5443aeae1749467793671f947216d1cc2021-12-02T15:45:21ZNon-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features10.1038/s41598-021-89758-42045-2322https://doaj.org/article/5443aeae1749467793671f947216d1cc2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89758-4https://doaj.org/toc/2045-2322Abstract 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.Saabah B. MahbubLong T. NguyenAbbas HabibalahiJared M. CampbellAyad G. AnwerUzair M. QadriAnthony GillAngela ChouMuh Geot WongMartin E. GosnellCarol A. PollockSonia SaadEwa M. GoldysNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Saabah B. Mahbub Long T. Nguyen Abbas Habibalahi Jared M. Campbell Ayad G. Anwer Uzair M. Qadri Anthony Gill Angela Chou Muh Geot Wong Martin E. Gosnell Carol A. Pollock Sonia Saad Ewa M. Goldys Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
description	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.
format	article
author	Saabah B. Mahbub Long T. Nguyen Abbas Habibalahi Jared M. Campbell Ayad G. Anwer Uzair M. Qadri Anthony Gill Angela Chou Muh Geot Wong Martin E. Gosnell Carol A. Pollock Sonia Saad Ewa M. Goldys
author_facet	Saabah B. Mahbub Long T. Nguyen Abbas Habibalahi Jared M. Campbell Ayad G. Anwer Uzair M. Qadri Anthony Gill Angela Chou Muh Geot Wong Martin E. Gosnell Carol A. Pollock Sonia Saad Ewa M. Goldys
author_sort	Saabah B. Mahbub
title	Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
title_short	Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
title_full	Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
title_fullStr	Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
title_full_unstemmed	Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
title_sort	non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/5443aeae1749467793671f947216d1cc
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Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features

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