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Objective: (1) use of standardized psychological tests, an objective assessment of the personality characteristics of anxiety disorders. (2) through the use of advanced surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) looking for specific protein fingerprints of anxiety disorders, found that anxiety disorders proteomics characteristics, and further analysis of its structure, the nature of and number of changes, from the level of protein molecules reveal anxiety disorder etiology and pathogenesis. (3) the use of advanced mathematical statistical analysis technology to explore the interaction of law in the pathogenesis of anxiety disorders and their associated problems of its proteome and personality characteristics, empirical model building anxiety disorder pathogenesis, promote anxiety disorder etiology and Pathogenesis of to learn integrated thinking by the current phenomenon to a more in-depth biological - psychological - social and cultural etiology empirical research forward, so as to promote the treatment of anxiety disorders by the mere symptomatic treatment to the direction of the development of the etiology and pathogenesis fundamental treatment . Methods: (1) According to the diagnostic criteria of the United States \phobia, obsessive-compulsive disorder and post-traumatic stress disorder subtypes) 31 were subjects as the experimental group, and at the same time set up an experimental control group: random normal population, 54; (2) the use of the Minnesota Multiphasic Personality Questionnaire \) measuring personality characteristics of the experimental and control groups, and statistical analysis. (3) Ciphergen's production PBSII / C the protein fingerprint Figure spectrometer and Prote-in chip CM10 (weak cation exchange surface) protein chip capture the experimental group and the control group, serum protein spectra analysis software by Biomaker Wizard3.2 Edition Screening differentially expressed proteins by ROC curve analysis and discriminant analysis to establish the prediction model of the anxiety disorders, reveal the etiology and pathogenesis of anxiety disorders in the level of protein molecules; result: (1) MMPI: ① the case group and the control group score (T min) following factors in the presence of significant forward difference: F, K (524 p, D, Hy, Pd, Pa or the PT, Sc of Ma,, Si (P lt; 0.05 or P LT; 0.01); ② The case group of male and female patients in Hs D, Hy, Pd, Mf, Pt T score points with a significant difference (p lt; 0.05 or p lt; 0.01); ③ The case group MMPI two o'clock coding: the vast majority of patients presenting with 78/87, 27 / 72,28 / 82 (P gt; 75%) type personality mapping. (2) A total of 96 differentially expressed proteins (P lt; 0.05) than normal, anxiety disorders are relatively high expression of 92 proteins, 4 relatively low expression of the three proteins. ROC curve display, eight kinds of differences in protein AUC gt; 0.75 by the Fisher discriminant analysis, the mass-to-charge ratio for 2162,4484,5641 three differentially expressed proteins enter the model, identification of anxiety disorders accuracy rate of 86.6% , specificity of 87.0%, sensitivity of 85.7% (3) After logistic regression analysis to establish the regression model were included Pt (OR = 1.772,95% CI: 1.145 to 2.741), Sc (OR = 0.767,95% CI: 0.604 to 0.972), M4484 (OR = 1.316,95% CI: 1.056 to 1.639), M5641 (OR = 1.820,95% CI: 1.175 ~~ 2.820) four factors. conclusions: (1) anxiety disorder patients with certain personality basis : neuroticism, psychoticism, social introversion. mainly sensitive to paranoia, depression, hypochondria, self-centered, and lack of self-confidence and social withdrawal. (2) personality types of anxiety disorders, 78/87, 27/72 28/82 (3) compared with healthy controls, and anxiety disorders significantly differentially expressed protein from a qualitative exploration of the symptom criteria for anxiety disorders at the molecular level to the quantitative study of the pathogenesis of a step near step. (4) using SELDI--TOF-MS technology to detect anxiety disorders serum characteristics of protein at the molecular level to provide a new method for the pathogenesis of anxiety disorders, but also provide objective indicators for the clinical diagnosis of anxiety disorder, worthy of further Logistics regression analysis. (5), the regression model predicted effect of anxiety disorders was 89.7% (6) anxiety disorder is the result of the role of psychological factors and biological factors and biological factors in its development occupy more important position.
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