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Label free detection of sensitive mid-infrared biomarkers of glomerulonephritis in urine using Fourier transform infrared spectroscopy
- Source :
- Meta Gene. 17:S13-S14
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
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 such as cancer, bone and neurodegenerative disease; 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.
- Subjects :
- 0301 basic medicine
Nephrology
medicine.medical_specialty
Pathology
business.industry
Urinary system
Infrared spectroscopy
Glomerulonephritis
Urine
medicine.disease
03 medical and health sciences
030104 developmental biology
Internal medicine
Attenuated total reflection
Genetics
Medicine
Fourier transform infrared spectroscopy
business
Genetics (clinical)
Label free
Subjects
Details
- ISSN :
- 22145400
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Meta Gene
- Accession number :
- edsair.doi...........ef448f45fc2bd70cce4cb635bbd8b088
- Full Text :
- https://doi.org/10.1016/j.mgene.2018.05.056