Study On Mateiral Basis Of Syndrome Differentiation Of Uveitis In TCM Based On Metabolomic Technology

Objective: As a starting point about different syndromes of uveitis, we were carriedout serum and urine from healthy people and patients metabolomics analysis in fullspectrum mode, and screened different syndromes of uveitis associated with biomarkers,explored the material basis of "syndrome" of uveitis, so as to clarify the syndrome essenceuveitis in TCM, and established objective scientific expression system of syndromedifferentiation type of uveitis.Method: As object of study on healthy subjects and patients with uveitis, wecollected serum and urine of the object of study. All samples were carried out fullspectrum metabolomics testing through liquid chromatography mass spectrometry(LC/MS) techniques and gas chromatography mass spectrometry used in conjunction (GC/MS) techniques. Unprocessed files were processed by R2.7software to carry out baselinecorrection, peak discrimination and alignment. The resulting table (TSV file) wasexported into Microsoft Excel, where each detected peak was normalized to the total sumof spectrum prior to multivariate analyses. the resulting three-dimensional matrixinvolving peak index (RT–m/z pair), sample names (observations), and normalized peakwere analyzed by orthogonal projections to latent structures (OPLS) using SIMCA-Psoftware (version11.5, Umea, Sweden) after pareto-scaled and mean-centered procedure.When the variable importance projection (VIP) values exceeding1.5, the absolute valueof the correlation coefficient (R) of greater than0.4and P values <0.05were selected aspotential biomarkers between two classes of samples. Additionally, potential biomarkersdetected were identified by the commercial compound libraries: NIST and Wiley.Meanwhile, metabolites were searched for related pathway with available biochemicaldatabases, such as KEGG, HMDB.Results: Serum and urine metabolite profile studies suggested that a distinctclustering of four different syndrome patterns of uveitis were obtained compared withcontrol group, respectively. Urine or blood metabolic spectrum in the patient’s body of four different syndrome patterns of uveitis compared with normal subjectsshowedsignificantly different, larger change. We have found more metabolites highlycorrelated with four different syndrome patterns of uveitis from blood and urine,respectively. These metabolites are amino acids, saccharides, fatty acids, organic acids,and vitamins and other substances. These metabolites are related to intestinal flora, energymetabolism, amino acid metabolism, citric acid cycle, lipid metabolism, glucosemetabolism, fatty acid metabolism and urea metabolism and other metabolism. Blood andurine metabolite profiles ahowed a higher level of group separation among four differentsyndrome patterns of uveitis. Metabolic spectrum in vivo is completely different amongfour different syndrome patterns of uveitis.From blood and urine, respectively, we have found more significant changemetabolites that can distinguish four different syndrome patterns of uveitis.These metabolites belong to amino acids, saccharides, fatty acids, organic acids, andvitamins and other substances. These metabolites involve in intestinal flora, energymetabolism, amino acid metabolism, citric acid cycle, lipid metabolism, glucosemetabolism, fatty acid metabolism and urea metabolism and other metabolism. Thesemetabolites in blood and urine were identified as potential biomarkers that are differentsyndrome patterns of uveitis.Conclusion: There are objective material basis about syndrome differentiation ofuveitis in TCM, metabolomics is a powerful tool to study traditional Chinese medicinesyndrome.