Label free detection of sensitive mid-infrared biomarkers of glomerulonephritis in urine using Fourier transform infrared spectroscopy
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Published version
Author(s)
Type
Journal Article
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.
Date Issued
2017-07-04
Date Acceptance
2017-05-22
Citation
Scientific Reports, 2017, 7
ISSN
2045-2322
Publisher
Nature Publishing Group
Journal / Book Title
Scientific Reports
Volume
7
Copyright Statement
© The Author(s) 2017. 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 Cre-
ative Commons license, and indicate if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons license and your intended use is not per-
mitted 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 license, visit
http://creativecommons.org/licenses/by/4.0/
.
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 Cre-
ative Commons license, and indicate if changes were made. The images or other third party material in this
article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons license and your intended use is not per-
mitted 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 license, visit
http://creativecommons.org/licenses/by/4.0/
.
Sponsor
Imperial College Healthcare Charity
Imperial College Healthcare Charity
Chang Gung Memorial Hospital (Taiwan) Research Training Fellow for Dr M.C. Yu
Grant Number
9999
9999
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
VIBRATIONAL SPECTROSCOPY
FTIR SPECTROSCOPY
DIAGNOSIS
CANCER
SAMPLES
SERUM
TOOL
CLASSIFICATION
MACHINE
SYSTEMS
Publication Status
Published
Article Number
4601