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Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features
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 fea...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138006/ https://www.ncbi.nlm.nih.gov/pubmed/34017033 http://dx.doi.org/10.1038/s41598-021-89758-4 |
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author | Mahbub, Saabah B. Nguyen, Long T. Habibalahi, Abbas Campbell, Jared M. Anwer, Ayad G. Qadri, Uzair M. Gill, Anthony Chou, Angela Wong, Muh Geot Gosnell, Martin E. Pollock, Carol A. Saad, Sonia Goldys, Ewa M. |
author_facet | Mahbub, Saabah B. Nguyen, Long T. Habibalahi, Abbas Campbell, Jared M. Anwer, Ayad G. Qadri, Uzair M. Gill, Anthony Chou, Angela Wong, Muh Geot Gosnell, Martin E. Pollock, Carol A. Saad, Sonia Goldys, Ewa M. |
author_sort | Mahbub, Saabah B. |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8138006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81380062021-05-25 Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features Mahbub, Saabah B. Nguyen, Long T. Habibalahi, Abbas Campbell, Jared M. Anwer, Ayad G. Qadri, Uzair M. Gill, Anthony Chou, Angela Wong, Muh Geot Gosnell, Martin E. Pollock, Carol A. Saad, Sonia Goldys, Ewa M. Sci Rep Article 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. Nature Publishing Group UK 2021-05-20 /pmc/articles/PMC8138006/ /pubmed/34017033 http://dx.doi.org/10.1038/s41598-021-89758-4 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access 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://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mahbub, Saabah B. Nguyen, Long T. Habibalahi, Abbas Campbell, Jared M. Anwer, Ayad G. Qadri, Uzair M. Gill, Anthony Chou, Angela Wong, Muh Geot Gosnell, Martin E. Pollock, Carol A. Saad, Sonia Goldys, Ewa M. Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138006/ https://www.ncbi.nlm.nih.gov/pubmed/34017033 http://dx.doi.org/10.1038/s41598-021-89758-4 |
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