Protein secondary structure analysis of dried blood serum using infrared spectroscopy to identify markers for colitis screening
Autor: | Hemendra Ghimire, Emilie Viennois, A. G. Unil Perera, Jitto Titus, Didier Merlin |
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Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
medicine.medical_specialty Pathology General Physics and Astronomy Infrared spectroscopy Mannose Colonoscopy 01 natural sciences Inflammatory bowel disease Gastroenterology General Biochemistry Genetics and Molecular Biology Protein Structure Secondary Article 010309 optics 03 medical and health sciences chemistry.chemical_compound Mice Internal medicine 0103 physical sciences Spectroscopy Fourier Transform Infrared medicine Animals General Materials Science Fourier transform infrared spectroscopy Colitis Protein secondary structure medicine.diagnostic_test Chemistry General Engineering General Chemistry Blood Proteins medicine.disease Mice Inbred C57BL 030104 developmental biology Attenuated total reflection Female Dried Blood Spot Testing Biomarkers |
Zdroj: | Journal of biophotonics. 11(3) |
ISSN: | 1864-0648 |
Popis: | There remains a great need for diagnosis of inflammatory bowel disease, for which the current technique, colonoscopy, is costly and also has risks for complications. Attenuated total reflectance Fourier transform infrared spectroscopy is a new screening technique to evaluate colitis. Using second derivative spectral deconvolution of the absorbance spectra, a full set of spectral markers were identified based on statistical analysis. Using this method, Amide I group frequencies, (specifically, α-helix to β-sheet ratio of the protein secondary structure) were identified in addition to the previously reported glucose and mannose signatures in sera of chronic and acute mice models of colitis. We also used the same technique to demonstrate that these spectral markers (α-helix/β-sheet ratio, glucose and mannose) are recovering to basal levels upon anti-TNFα therapy. Hence, this technique will be able to identify changes in the sera due to diseases. |
Databáze: | OpenAIRE |
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