RESUMO
Objective: To investigate the correlation among the "four natures" drug properties, the abilities of penetration enhancement and chemical components of the essential oils (EOs) from pungent Chinese herbs. Methods: A total of 20 kinds of EOs with different "four natures" drug properties were selected for pair comparison. EOs were extracted by steam distillation and analyzed by GC-MS, the skin resistance kinetic technology was used to investigate the abilities of penetration enhancement. Based on the research results, the factors were selected by stepwise discrimination analysis method and variance analysis method and the prediction model was established. Results: The order of the abilities of penetration enhancement of EOs was: hot > warm > cold and cool. The higher the content of sesquiterpenoids was, the warmer the property tended to be. On the contrary, it did not contain sesquiterpenes, or its content was low, and its property tended to be cold and cool, and the abilities of penetration enhancement were weak. Conclusion: There was a correlation among the "four natures" drug properties, the abilities of penetration enhancement and chemical components of EOs from pungent Chinese herbs. And the sesquiterpenoids from EOs may be the most correlated chemical components with the "four natures" drug properties and the abilities of penetration enhancement.
RESUMO
Objective To probe the clinical values of the human serum glycoprotein profiles for the diagnosis of common gynecological tumors. Methods A total of 123 clinical serum samples which included 31 breast cancer, 24 cervical cancer, 19 ovarian cancer and 49 healthy individuals were collected. A lectin microarray consisting of 15 lectins with different glycan binding specificities was used to determine the glycoprotein profiles of serum sam-ples. Stepwise discrimination analysis method was adopted to establish function model of clinical serum samples classification with SPSS 15. 0 software. Results Two grades of diagnostic discrimination function models were es-tablished. The first grade discrimination function could differentiate gynecological tumors from healthy individuals, the diagnostic accuracy rates of retrospective inspection were 85. 7% and 83. 8% respectively, and the total diag-nostic accuracy rate was 84.6%. The second grade discrimination function was used to differentiate breast tumor, cervical tumor and ovarian tumor, the diagnostic accuracy rates of retrospective inspection were 96.8%,75.0%and 78.9% respectively, and the total diagnostic accuracy rate was 85.1%. Conclusion The human serum gly-coprotein profiles are associated with gynecological tumors, and the established discrimination function models based on lectin microarray data have a helpful reference value for the clinical diagnosis of gynecological tumors.
RESUMO
Objective To determine the changes of coagulation indexes of rabbits struck at different levels and sieve the traditional coagulation indexes, such as activated partial thromboplastin time (APTT), prothrombin time (PT), thrombin time (TT) and fibrinogen (FIB). Methods We used correlation analysis to precondition the data to reject indexes, and used stepwise discriminatory analysis to choose indexes and made the diagnosis by multiple linear discrimination analysis. Then, by random sampling we compared the correct diagnostic rate by 4 indexes with that by 3 indexes. Results The correct discrimination rate of blood coagulation function diagnosis in rabbits was up to 87.60% by the four indexes and 96.12% with the three indexes (APTT, PT and TT). The average correct discrimination rate of blood coagulation function diagnosis in 1 000-time random sampling was up to 83.07% by the four indexes and 85.16% by the three indexes. Conclusion Stepwise discriminatory analysis can be used to discriminate hemorrhage from thromboxane. The correct diagnostic rate gets higher when FIB was rejected.