Label Free Detection of Sensitive Mid-Infrared Biomarkers of Glomerulonephritis in Urine Using Fourier Transform Infrared Spectroscopy

Mei Ching Yu, Peter Rich, Liberty Foreman, Jennifer Smith, Mei Shiuan Yu, Anisha Tanna, Vinod Dibbur, Robert Unwin, Frederick W.K. Tam*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

42 Scopus citations

Abstract

More reliable biomarkers using near-patient technologies are needed to improve early diagnosis and intervention for patients with renal disease. Infrared (IR) vibrational spectroscopy/microspectroscopy is an established analytical method that was first used in biomedical research over 20 years ago. With the advances in instrumentation, computational and mathematical techniques, this technology has now been applied to a variety of diseases; however, applications in nephrology are just beginning to emerge. In the present study, we used attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to analyze urine samples collected from rodent models of inflammatory glomerulonephritis (GN) as well as from patients with crescentic GN, with the aim of identifying potential renal biomarkers; several characteristic mid-IR spectral markers were identified in urine samples. Specifically, a 1545 cm-1 band increased in intensity with the progression and severity of GN in rats, mice and humans. Furthermore, its intensity declined significantly in response to corticosteroid treatment in nephritic rats. In conclusion, our results suggest that specific urinary FTIR biomarkers may provide a rapid, sensitive and novel non-invasive means of diagnosing inflammatory forms of GN, and for real-Time monitoring of progress, and response to treatment.

Original languageEnglish
Article number4601
JournalScientific Reports
Volume7
Issue number1
DOIs
StatePublished - 01 12 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 The Author(s).

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