Study on correlated proteins in the urine of chronic renal failure patients of Chinese medicine damp syndrome based on SELDI-TOF-MS technique.
- Author:
Yi-Ming HAO
1
;
Ming-Chao HONG
;
Wen-Jing WANG
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Case-Control Studies; Female; Humans; Kidney Failure, Chronic; diagnosis; urine; Male; Medicine, Chinese Traditional; Middle Aged; Protein Array Analysis; methods; Proteomics; methods; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; methods
- From: Chinese Journal of Integrated Traditional and Western Medicine 2012;32(11):1496-1499
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo investigate the protein markers in the urine of chronic renal failure (CRF) patients of Chinese medicine damp syndrome (CMDS) based on surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF-MS) technique.
METHODSThe urine was sampled from 90 CRF patients of CMDS and 60 CRF patients of non-CMDS. Then the proteomics of the urine was studied by H4 gene chip. The chips were scanned and analyzed using PBS II (a protein chip reader).
RESULTS(1) Totally 25 differential protein peaks were identified in the e/m range of 1 000-20 000 of the protein atlas of the two groups (P < 0.01). (2) The urine protein predictive model of CFR patients of CMDS was established after bioinformatic analysis. Totally 4 biomarkers consisting of M/Z 8 654.96, M/Z 2 081.65, M/Z 18 667.3, and M/Z 2 242.14 were obtained, which could better classify the samples of CMDS and those of non-CMDS. Its accuracy rate was 84.7%, the sensitivity was 92.2%, and the specificity was 73.3%. (3) Between the CMDS group and the non-CMDS group, 7 kinds of proteins in the urine were possibly identified by SwissProt Database.
CONCLUSIONSThis study had primarily screened the protein markers in the urine of CRF patients of CMDS, and established the predictive model. The protein markers in the urine were identified by database, thus providing certain experimental evidence for clinical typing of CRF patients of CMDS.
