Evidence map›Paper›PMID 34017033›Full record

ArticleScientific reports2021

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

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 and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Hemoglobin-associatedFrontiers in medicine · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Enhanced Kidney Targeting and Distribution of Tubuloids During Normothermic Perfusion.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Saabah B Mahbub *Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia. s.mahbub@unsw.edu.au.
Long T Nguyen *Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.
Abbas HabibalahiARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, Sydney, NSW, 2052, Australia.
Jared M CampbellARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, Sydney, NSW, 2052, Australia.
Ayad G AnwerARC Centre of Excellence for Nanoscale Biophotonics, UNSW Sydney, Sydney, NSW, 2052, Australia.
Uzair M QadriSchool of Mathematical and Physical Sciences, Faculty of Science, University of Technology, Sydney, Australia.
Anthony GillKolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.
Angela ChouKolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.
Muh Geot WongKolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.
Martin E GosnellQuantitative Pty Ltd, 118 Great Western Highway, Mount Victoria, NSW, 2786, Australia.
Carol A PollockKolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.
Sonia SaadKolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia. sonia.saad@sydney.edu.au.
Ewa M GoldysGraduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia. e.goldys@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CD13 AntigensCell DifferentiationCell LineCell SurvivalGlomerular Filtration RateHumansKidneyKidney Tubules, ProximalSodium-Glucose Transporter 2Spectrometry, FluorescenceUrineCD13 AntigensSLC5A2 protein, humanSodium-Glucose Transporter 2

Identifiers

PMID34017033
PMCPMC8138006

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.