ABSTRACT
Objective:To explore and analyze the points-selection rules in acupuncture treatment of mammary gland hyperplasia (MGH) by data mining and statistical method. Methods:Clinical literatures about the treatment of MGH with acupuncture published in the recent 16 years were retrieved from Chinese Journal Full-text Database (CJFD) and established into a database by Excel. The SPSS 20 version software and Clementine 12.0 version software were adopted to analyze the frequency and association rules of points-selection in the treatment of MGH with acupuncture. Results:The top 3 points used most frequently in acupuncture treatment of MGH were Danzhong (CV 17), Taichong (LR 3) and Zusanli (ST 36); points from the Stomach Meridian of Foot Yangming and Liver Meridian of Foot Jueyin were most commonly used; the commonly selected points were predominantly distributed in thoracic and abdominal regions and lower limbs; emphasis on the combination use of local and distal points; of the specific points, the five Shu-Transmitting points were mostly used; association analysis showed that the associations among Taichong (LR 3), Danzhong (CV 17) and Zusanli (ST 36) were the most significant. Conclusion: The data mining results substantially accord with the general rules of acupuncture-moxibustion theories in traditional Chinese medicine, able to reflect the points-selection principles and features in acupuncture treatment of MGH and provide evidence for the points selection in the treatment of MGH in acupuncture clinic.
ABSTRACT
Objective:To explore and analyze the points-selection rules in acupuncture treatment of mammary gland hyperplasia (MGH) by data mining and statistical method. Methods:Clinical literatures about the treatment of MGH with acupuncture published in the recent 16 years were retrieved from Chinese Journal Full-text Database (CJFD) and established into a database by Excel. The SPSS 20 version software and Clementine 12.0 version software were adopted to analyze the frequency and association rules of points-selection in the treatment of MGH with acupuncture. Results:The top 3 points used most frequently in acupuncture treatment of MGH were Danzhong (CV 17), Taichong (LR 3) and Zusanli (ST 36); points from the Stomach Meridian of Foot Yangming and Liver Meridian of Foot Jueyin were most commonly used; the commonly selected points were predominantly distributed in thoracic and abdominal regions and lower limbs; emphasis on the combination use of local and distal points; of the specific points, the five Shu-Transmitting points were mostly used; association analysis showed that the associations among Taichong (LR 3), Danzhong (CV 17) and Zusanli (ST 36) were the most significant. Conclusion: The data mining results substantially accord with the general rules of acupuncture-moxibustion theories in traditional Chinese medicine, able to reflect the points-selection principles and features in acupuncture treatment of MGH and provide evidence for the points selection in the treatment of MGH in acupuncture clinic.
ABSTRACT
A nutrient solution experiment was conducted to investigate the effect of Fe and Zn supply on Fe, Zn, Cu, and Mn concentrations in wheat plants. The experiment used a factorial combination of two Fe levels (0 and 5 mg l-1) and three Zn levels (0, 0.1 and 10 mg l-1). The supply of Fe (5 mg l-1) and Zn (0.1 mg l-1) increased plant dry weight and leaf chlorophyll content compared to the Fe or Zn deficient (0 mg l-1) treatments. However, excess Zn supply (10 mg l-1) reduced plant dry weights and leaf chlorophyll content. Iron supply (5 mg l-1) reduced wheat Zn concentrations by 49%, Cu concentrations by 34%, and Mn by 56% respectively. Zinc supply (10 mg l-1) reduced wheat Fe concentrations by an average of 8%, but had no significant effect on Cu and Mn concentrations. Stepwise regression analyses indicated that Zn, Cu, and Mn concentrations were negatively correlated with root- and leaf-Fe concentrations, but positively correlated with stem-Fe concentrations. Leaf-Mn concentrations were negatively correlated with root-, stem- and leaf-Zn concentrations.