HIV感染者口腔代謝物變化與CD4水平的關(guān)系
[Abstract]:[Objective] changes in oral metabolites can be used in the diagnosis of disease status and / or treatment tolerance. Therefore, the analysis of oral metabolites is helpful for the detection of the target of the HIV disease process. So far, the study of the relationship between the distribution characteristics of oral metabolites and the level of the important immunological index of CD4 counts in HIV infected people. This study is to be used in this study. GC-TOF-MS detection platform was used to detect the oral liquid metabolites of some HIV infected people in Yunnan, and analyze the relationship between them and CD4, in order to find new markers related to the process of HIV infection. [Methods] select the third people's Hospital from September 2016 to December 2016 to be infected with one family and have not received high efficiency antiretroviral The patients with HIV infection (HAART) were the case group. The basic information and oral liquid samples were collected and the CD4 counts were recorded. The oral liquid specimens were detected by GC-TOF-MS for non target metabolism, preprocessed the data, and then used principal component analysis (PCA), orthogonal partial least square method discriminant analysis (OPLS-DA) and metabolite. Sexual and differential metabolites screening, metabolic pathway analysis and hierarchical cluster analysis were used to compare the changes in oral metabolites between HIV infected persons at different CD4 levels. [results] 90 specimens of oral liquid were collected from 90 cases of HIV infection, and were divided into A group (CD4 count 200 /mm3) and B group (CD4 count 200-500 /mm3) according to the CD4 count level of peripheral blood. And group C (CD4 count 500 /mm3), 30 cases in each group. The samples were detected by GC-TOF-MS and bioinformatics analysis. The main results were as follows: (1) the results of PCA analysis showed that the different samples between A and B groups and A and C groups were mostly arranged and clustered, showing good reproducibility, most of the different samples between B and C groups The arrangement of the A group and the B group, the A group and the C group, separated each other, can make a clear division and show the good specificity. The samples of the B and C groups in the different experimental groups appear to overlap, indicating that the similarity of some samples is higher and the difference is more different. (2) (2) the results of OPLS-DA analysis show that two samples of A and B and two groups of A and C can be separated from each other and can make a clear division. It can be said that the two groups of samples are very distinct, and the sample is basically in the 95% confidence interval, indicating that this data is worth further study. And the distinction between the B and the C two groups is not very significant, but can be made. The sample was basically in the 95% confidence interval, indicating that this data was also worthy of further study. (3) the metabolite qualitative and differential metabolite screening, metabolic pathway analysis and hierarchical cluster analysis can be seen: A and B groups of different metabolites selected 116 species, differential metabolite mapping of the KEGG pathway 7, among them, the most important The differential metabolic pathways were galactose metabolism, pentose phosphate, pyrimidine metabolism, linoleic acid metabolism,.A group and C group of fructose and mannose metabolism, 133 different metabolites, and 9 KEGG pathway of differential metabolite mapping, among which the main differential metabolic pathways were galactose metabolism, pentose phosphate, purinyin metabolism, pyrimidine generation. Metabolites of linoleic acid, linoleic acid, fructose and mannose metabolized in group.B and C group were relatively few, 34 species, 4 KEGG pathways of differential metabolite mapping, the main metabolic pathways were galactose metabolism, fructose and mannose metabolism and purine metabolism. [Conclusion] this study applied advanced GC-TOF-MS detection platform and analyzed outside The changes in oral metabolites of HIV infected people with different CD4 counting levels in the peripheral blood have been found to be different in different levels of CD4 count, and the research results can provide new scientific evidence for the discovery of new markers and disease control of HIV infected people.
【學(xué)位授予單位】:昆明醫(yī)科大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:R512.91
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