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Metabolic profiling of rat hair and screening biomarkers using ultra performance liquid chromatography with electrospray ionization time-of-flight mass spectrometry
- Source :
- Journal of Chromatography A. 1176:94-99
- Publication Year :
- 2007
- Publisher :
- Elsevier BV, 2007.
-
Abstract
- An exhaustive analysis of metabolites in hair samples has been performed for the first time using ultra performance liquid chromatography with electrospray ionization time-of-flight mass spectrometry (UPLC-ESI-TOF-MS). The hair samples were collected from spontaneously hypertensive model rats (SHR/Izm), stroke-prone SHR (SHRSP/Izm) and Wistar Kyoto (WKY/Izm) rats, and were analyzed by UPLC-ESI-TOF-MS; a multivariate statistical analysis method, such as the principal component analysis (PCA), was then used for screening the biomarkers. From the samples derived from the group of SHRSP/Izm at weeks 10, 18, 26 and 34, we successfully detected a potential biomarker of stroke, which existed at much higher concentrations as compared with that in the other groups. However, a significant difference could not be found at weeks less than 7 before the rats were subjected to stroke and hypertension. In addition, the present method was applicable to screening not only the disease markers, but also the markers related to aging. The method utilizing hair samples is expected to be quite useful for screening biomarkers of many other diseases, and not limited to stroke and hypertension.
- Subjects :
- Spectrometry, Mass, Electrospray Ionization
Electrospray
Chromatography
Metabolite
Electrospray ionization
Organic Chemistry
General Medicine
Reversed-phase chromatography
Mass spectrometry
Rats, Inbred WKY
Biochemistry
Rats
Analytical Chemistry
Chemometrics
chemistry.chemical_compound
chemistry
Rats, Inbred SHR
Animals
Time-of-flight mass spectrometry
Biomarkers
Chromatography, High Pressure Liquid
Analysis method
Hair
Subjects
Details
- ISSN :
- 00219673
- Volume :
- 1176
- Database :
- OpenAIRE
- Journal :
- Journal of Chromatography A
- Accession number :
- edsair.doi.dedup.....8dcd72fb122c36503005a61eed69d8ba