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The metabolites were used to screen the differential metabolites of exercise-induced bone fatigue, which provided the basis for early screening of exercise-induced bone fatigue. Methods: Twenty female SD rats were randomly divided into control group (group C, n = 10) and model group (group T, n = 10) at 8 weeks of age and weighing 210-250 g. The control group was not trained and the model group was trained with increasing load. After 6 weeks of training, the bone stiffness of the tibial bone was determined by the Instron 5800 double column universal testing machine. The serum samples were separated by ultra-high performance liquid chromatography (UHPLC) and analyzed by mass spectrometry using the Triple TOF 5600 mass spectrometer (AB SCIEX). Multidimensional statistical analysis and one-dimensional statistical analysis were performed using Metabo Analysis software. Results: The partial least squares discriminant analysis (PLS-DA) model with positive and negative ions was constructed. The model evaluation parameters (R2, Q2) were (1.00, 0.78) and (0.92, 0.82), respectively. A total of 21 different metabolites were screened, mainly involving tryptophan, tyrosine, bile acid and phospholipid metabolism and alanine - glucose cycle. In particular, L-lysine, L-leucine, L-isoleucine, glycocholic acid, bovine bovine and bovine deoxycholic acid were up-regulated in the model group compared to the control group Amino acids, L-kainate, 5-hydroxydopamine, serotonin, indole acetic acid, prostaglandin, cholic acid, lithocholic acid, chenodeoxycholic acid, lecithin, lysophosphatidylcholine, sphingomyelin. Conclusion: Metabolomics can be used to screen out the differential metabolites of exercise - induced bone fatigue. The evaluation of early diagnostic value needs further study.
Synthesis of oberic acid from avocadoic acid as raw material in order to obtain a better process of synthesis. The new synthesis process of oberic acid (6α-ethyl deoxycholic acid) was obtained by oxidation, esterification, electrophilic addition, catalytic hydrogenation and hydrolysis reduction. The total yield was 38%. The structure was confirmed by 1H-NMR and MS analysis. Results: The optimum conditions were obtained by studying the reaction conditions of each step: the ratio of chenodeoxycholic acid to N-bromosuccinimide was 1: 1.5 in the oxidation reaction. In the electrophoretic addition, 3α- Hydroxy-7-keto-5β-cholinic acid-24-methyl ester with triethylamine and tert-butyldimethylchlorosilane was 1: 2: 2.2; in the reduction reaction, 3α-hydroxy-6- The ratio of ethylidene-7-keto-5β-cholinic acid-24-methyl ester to sodium borohydride was 1: 6.

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