The coordination and unification of Yin and Yang are the basis of normal human life activities. Along with the age growth and aging of the body, women will suffer from menopausal syndrome during menopause. In addition to the significant changes in the genital system, there are also pathological manifestations in estrogen target points including bone, nerve and cardiovascular systems, due to the imbalance of Yin and Yang. Besides the insufficiency of estrogen, the main cause of menopausal syndrome is the changes in the response of target organs to estrogen. In other words, the biological effects mediated by estrogen receptor(ER) alpha and beta subtypes in target cells are often different or even opposite; the changes of expression level and ratio of ERα and ERβ are also important causes for the abnormal estrogenic effects in target organs and the imbalance of Yin and Yang of the body. Therefore, on one hand, the therapeutic mechanism of drugs is ER-mediated estrogenic effect. On the other hand, the drugs have a regulatory effect on ER subtype expression in target cells and Yin-Yang state in target organs and even organisms, so as to cause further changes in the response of target cells to estrogen or estrogenic components, and exert its therapeutic effects. This paper reviews the pharmacological mechanism of gynecological traditional Chinese medicine in harmonizing Yin and Yang in estrogen-positive target cells and the clinical efficacy in the following aspects, including estrogen and its mechanism, the estrogenic effect of ER in traditional Chinese medicine and the mechanism of ER subtype in balancing Yin and Yang and mediating and regulating the main target tissues in menopausal syndrome treatment.
Estrogen Receptor alpha ; Estrogen Receptor beta ; Estrogens ; Female ; Humans ; Medicine, Chinese Traditional ; Yin-Yang

Objective:To evaluate the image quality (IQ) of 18F-fluorodeoxyglucose (FDG) PET/CT imaging and identify its influenfial factors in diabetes mellitus (DM) and non-DM patients with coronary artery disease (CAD). Methods:A total of 196 consecutive CAD patients (174 males, 22 females, 68 DM; age: (57±10) years) in Beijing Anzhen Hospital between June 2016 and February 2018 were retrospectively analyzed. All patients underwent 18F-FDG myocardial PET/CT imaging. The standardized fasting+ oral glucose loading (OGL) and intravenously injection of insulin protocol was performed. According to the FDG uptake by myocardium, background activity in blood and other visceral organ nearby the heart, the IQ was visually evaluated and scored by 0-4. Zero-two was considered as good IQ, 3-4 was regarded as poor IQ. Patients were divided into three groups: group 1 (non-DM+ good IQ), group 2 (DM+ good IQ), group 3 (DM+ poor IQ). Factors which may affect IQ were analyzed, which including OGL, the injection dose of insulin, fasting blood glucose (FBG), peak blood glucose (PBG), blood glucose (BG) level at 18F-FDG injection (BG injnection), BG increasing rate ((PBG-FBG)/FBG, %), and BG decreasing rate ((PBG-BG injection)/PBG, %). One-way analysis of variance, Spearman correlation analysis and logistic regression analysis were used for data analysis. Results:There were significant differences ( F values: 13.074-38.371, all P<0.05) of FBG, PBG, OGL, BG decreasing rate and the injection dose of insulin among group 1 ( n=132, 67.3%), group 2 ( n=53, 27.1%), group 3 ( n=11, 5.6%). All those parameters, except for OGL, were positively correlated with FDG PET/CT IQ ( r s values: 0.142-0.262, all P<0.05). OGL was negatively correlated with IQ ( r s=-0.324, P<0.05). Logistic regression analysis showed that FBG (odds ratio ( OR)=0.687, 95% CI: 0.633-0.746), PBG( OR=0.786, 95% CI: 0.746~0.829), BG injection( OR=0.631, 95% CI: 0.595-0.716), OGL( OR=0.897, 95% CI: 0.873-0.922), the injection dose of insulin( OR=0.680, 95% CI: 0.618-0.748) were predictive factors (all P<0.01) for good IQ in all patients. For DM patients, OGL was the only predictive factor for good IQ( OR =0.940, 95% CI: 0.904-0.960; P<0.01). Conclusions:FBG, PBG, BG injection, OGL, the injection dose of insulin can predict IQ for all patients with CAD. For DM patients with CAD, OGL is the only predictive factor for good IQ. A good IQ of 18F-FDG PET/CT could be obtained in majority of CAD patients, with the standardized fasting + OGL and intravenously injection of insulin protocol and adjust according to the personal status, and prevent the hypoglycemia from happening.

Objective　Pulmonary function testing is a commonly used indicator for clinical evaluation of the degree of pulmonary fibrosis in patients. This paper aims to investigate the dynamic changes of lung function in mice with pulmonary fibrosis and to establish a range of reference values for lung function parameters in normal Kunming mice.　Methods　Twenty-eight SPF Kunming mice were randomly divided into normal control group (n=14) and model group (n=14). After anesthesia with 10% chloral hydrate, the normal control group only underwent tracheal puncture. The model group received intratracheal puncture and injection of bleomycin (BLM) (5 mg/kg body weight), and the lung function indicators of all mice were detected in the same order on the 1st, 2nd, 3rd and 4th weekends after modeling: Ti, Te, PIF, PEF, TV, EV, RT, MV, f, Penh and EF50.　Results　After intratracheal BLM injection, mice in the model group showed decreased hair softness and smoothness, hair loss and decreased activity after the 2nd week. Compared with the control group, Ti, Te and RT values in the model group significantly increased at week 4 (P<0.05), while the values of PEF, RT, MV, f and EF50 decreased significantly at the same week (P<0.05). Compared with the model group at week 1, the differences in Ti, Te, RT and f values at week 2, 3 and 4 were statistically significant (P<0.05); the differences in MV and EF50 values at week 3 and 4 were statistically significant (P<0.05); while the PIF values only showed differences at week 4 (P<0.001). Compared with the Penh values in the control group at week 2, 3 and 4 (0.553±0.189, 0.662±0.164, 0.712±0.189), the differences of the model group (0.820±0.205, 0.936±0.188, 1.053±0.236) showed statistical significance (P<0.001). Compared with the model group at week 1, the differences of Penh values in the model group only showed statistical significance at week 3 and 4 (P<0.05). Through four-week lung function test, various parameters were obtained, among which the normal range of the main index Penh value was 0.27-0.88.　Conclusion　The lung function detected by the non-invasive whole body plethysmography system was stable and reliable with good effects; the lung function in mice with the BLM-induced pulmonary fibrosis continued to decrease within four weeks. Penh, which reflects airway resistance, can be used for overall screening of the lung function among the test mice after two weeks of modeling.

To explore the medication rules of famous veteran traditional Chinese medicine practitioners in treating infertility based on medical cases of infertility collected from book series of Hundred Traditional Chinese Medicine Clinicians of Hundred Years in China and Prescription Proven by Traditional Chinese Medicine Masters. Researchers extracted the information of prescriptions from these cases according to the inclusion and exclusion criteria. Then, Excel 2010, SPSS Clementine(ver.12.0) and SPSS(ver. 22.0) were adopted respectively for frequency analysis, association rules analysis, cluster analysis and factor analysis. Cluster analysis was carried out by Ochiai algorithm of binary variable data, which was a systematic clustering method. And principal component analysis was used for factor analysis. Besides, KMO test and Bartlett spherical test were used for factor adaptation test. Finally, 151 medical cases and 396 prescriptions were included in total. A total of 60 kinds of frequently used herbs were identified according to the results of frequency analysis for medication, they were mainly used for activating blood and resolving stasis, tonifying and clearing heat respectively. The association rules analysis found out 25 drug pair association rules and 14 3-drug combination association rules. A total of 15 medicine groups were extracted by cluster analysis. KMO test and Bartlett spherical test indicated that the method was suitable for factor analysis, and 21 common factors were respectively extracted by factor analysis. Association rules indicated the characteristics of the therapeutic methods, like tonifying Qi and replenishing blood. The famous veteran traditional Chinese medicine practitioners utilized modified Siwu Decoction for tonifying blood and preferred Atractylodis Macrocephalae Rhizoma(Baizhu) for tonifying Qi. The results of both cluster analysis and factor analysis demonstrated the characteristics of the therapies for tonifying kidney, activating blood, tonifying spleen and dispelling dampness. In addition, factor analysis could reflect the therapies for nourishing Yin, tonifying kidney, warming the meridian, dissipating cold, nourishing blood and dispelling blood stasis. These results of analysis comprehensively showed out the medication characteristics of famous veteran traditional Chinese medicine practitioners of strictly following the pathogenesis, making good use of classical formulas and providing proper compatibility. In conclusion, data mining techniques(including frequency analysis, association rules analysis, cluster analysis and factor analysis) were used to comprehensively analyze the medication rules of famous veteran traditional Chinese medicine practitioners in treating infertility, which is helpful for guiding the clinical practice of treating infertility with traditional Chinese medicine.
China ; Humans ; Infertility ; drug therapy ; Medicine, Chinese Traditional