Objective: Use the metabonomics technology, the healthy crowd, chronic kidney disease (CKD)3of spleen andkidney deficiency syndrome in patients with two groups ofthe metabolism of urine spectrum analysis, looking for chronic kidney disease (CKD)3of spleen and kidney deficiency syndrome type t-wo related biomarkers of; Use the metabonomics technology explore chronic ki-dney disease (CKD)3of spleen and kidney deficiency syndrome two of thenature of traditional Chinese medical syndrome, plans tobuild two spleen and kidney deficiency syndrome of TCMsyndrome differentiation points of the obj-ective, quantitative type science express system.Method: choose academy of traditional Chinese medicine clinic in heilongjiang province of chronic kidney disease in patients with stage3in June to December of2011,and according to Chinese medicine research guiding principle,the dialectical belongs to the spleen and kidney deficiencyof both the observation group of15cases, and the other in our hospital medical examination randomly selected15cases of healthy controls. Enrol your biometrics subjects since morning urine, OPLS-DA analysis, according to each sample of principal component score mapping, can be the difference between discriminant group; And according to thecontribution of each ion VIP values greater than4ion sure chronic kidney disease (CKD)3of spleen and kidney deficiency syndrome two potential biological markers;Application Q-TOF or TOF sure compounds accurate quality, through the relevant database retrieval, ultimately through chemical information retrieval, chromatographic retention behavior and MS/MS data to speculate that the markers compound structure, preliminary test this path metabolis-m product structure identification validity;Ultimately for OPLS-DA and VIP va-lues of potential biomakers for structure analysis, mass spectrometry of peak level1HNMR extraction, get mother ion mass spectrum information (Rt_m/z), reduction of chromatographic peak of TIC figure, at multiple collision canun-der the level2mass spectrometry scanning with satisfactory secondary mass spectrum information, and combiningwith document information and mass spectr-ometry apportionment structure confirmation, application massfragment software structure, the validity of discrimination.Results:â‘ Chronic kidney disease (CKD)3of spleenand kidney deficiency syndrome group and control group in two of the mass spectrometry outline BPI map shows: the control group and chronic kidney disease (CKD)3of spleen and kidney deficiency syndrome can obviously two groups to distinguish, between the two groups there are significant differences.â‘¡According to chroni-c kidney disease(CKD)3of spleen and kidney deficiency syndrome groupan-d two normal control group of S-plot and VIP value, the masslynx software system nested massfragment software analysis of the significant difference of compounds for Phenylacetic acid〠N-Heptanoylglycine〠Alpha-Hydroxyhippuric acid〠L-beta-aspartyl-L-alanine〠Vanilpyruvic acid〠Pantothenic acidã€Butyrylcarnitineã€Valerylcarnitineã€Alpha-Aspartyl-lysineã€N-Acetylcystathionineã€3-Oxohexadecanoic acidã€4-Hydroxyphenylacetylglutamine〠N-Acetyl-a-neuraminic acidã€2-trans,4-cis-Decadienoylcarnitineã€9-Decenoylcarnitine〠Farnesylcysteineã€beta-monoacylglycerolã€S-(Hydroxymethyl)glutathione. Conclusion:Chronic kidney disease (CKD)3of spleenand kidney deficiency syndrome patients two urine metabolism and the general population compared with spectrum significant differences, can will chronic kidney disease (CKD)3of spleen and kidney deficiency syndrome in patientswith two healthy people to distinguishï¼›Chronic kidney disease(CKD)3of spleen and kidney deficiency syndrome and two changed obviously than normal population change, canpass the metabonomics method for to seek a chronic kidney disease (CKD)3of spleen and kidney two potential biomarkers deficiency syndrome. |