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Proteomic Analysis of Rat Brain Stem with DAI by MALDI-TOF-MS / 法医学杂志
Journal of Forensic Medicine ; (6): 13-17, 2016.
Article in Chinese | WPRIM | ID: wpr-984034
ABSTRACT
OBJECTIVE@#To establish a diagnostic model for diffuse axonal injury (DAI) by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). To screen the proteins or peptides associated with DAI for providing the biomarkers with theoretic foundation.@*METHODS@#Fifteen male Sprague-Dawley rats were randomly divided into DAI group (n = 10) and control group (n = 5). The protein or peptide expression profiles of rat brain stem were detected by MALDI-TOF-MS. ClinProTools 2.2 software was used to find specific peaks, and a diagnostic model was established by the genetic algorithm.@*RESULTS@#There were significant differences in 61 peaks of DAI group (P < 0.05), 9 peaks were down-regulated and 52 up-regulated. The diagnostic model was established based on 5 different peaks. The specificity and sensitivity of cross validation was 96.14% and 95.98%; while the specificity and sensitivity of blind validation showed was 73.33% and 70.00%, respectively.@*CONCLUSION@#A specific and sensitive diagnostic model of DAI can be established by MALDI-TOF-MS to provide a potential value for determining DAI in forensic practice.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Peptides / Software / Brain Stem / Biomarkers / Down-Regulation / Up-Regulation / Sensitivity and Specificity / Rats, Sprague-Dawley / Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Diffuse Axonal Injury Limits: Animals Language: Chinese Journal: Journal of Forensic Medicine Year: 2016 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Peptides / Software / Brain Stem / Biomarkers / Down-Regulation / Up-Regulation / Sensitivity and Specificity / Rats, Sprague-Dawley / Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Diffuse Axonal Injury Limits: Animals Language: Chinese Journal: Journal of Forensic Medicine Year: 2016 Type: Article