1.Chemical constituents of Saxifraga stolonifera (L.) Meeb.
Weisheng FENG ; Zhen LI ; Xiaoke ZHENG ; Yuanjing LI ; Fangyi SU ; Yanli ZHANG
Acta Pharmaceutica Sinica 2010;45(6):742-6
To study the chemical constituents of Saxifraga stolonifera (L.) Meeb., chromatographic techniques were applied to separate and purify the compounds, and their structures were confirmed on the basis of physicochemical properties and spectral data. Ten compounds were isolated and identified as 5-O-methylnorbergenin (1), 3, 4-dihydroxyallylbenzene-4-O-beta-D-glucopyranoside (2), (7R, 8S)-4, 9, 9'-trihydroxyl-3-methoxyl-7, 8-dihydrobenzofuran-1'-propylneolignan-3'-O-beta-D-glucopyranoside (3), quercetin-3-O-beta-D-xylopyranosyl-(1 --> 2)-beta-D-galactopyranoside (4), kaempferol-3-O-alpha-L-rhamnopyranoside (5), (3S, 5R, 6R, 7E, 9R)-3, 5, 6, 9-tetrahydroxy-7-megastigmane (6), benzyl-O-alpha-L-rhamnopyranosyl-(1 --> 6)-beta-D-glucopyranoside (7), p-hydroxyacetophenone (8), pyrogallic acid (9) and p-hydroxyphenol (10). Compound 1 is a new compound. Compounds 2-10 were isolated from this plant for the first time.
2. A survey on the current development of thoracic surgery in tertiary hospitals of China
Hu LIAO ; Jiandong MEI ; Chengwu LIU ; Feng LIN ; Qiang PU ; Lin MA ; Yuanjing FENG ; Kejie LYU ; Lunxu LIU
Chinese Journal of Surgery 2018;56(12):888-891
Objective:
To study the current development of thoracic surgery in China.
Methods:
Chinese Society for Thoracic and Cardiovascular Surgery and Chinese Association for Thoracic Surgeons jointly conducted a network survey to directors of thoracic surgery departments in the tertiary hospitals in China from November to December 2018. The contents of the survey included the basic information of the hospital and the status of thoracic surgery department in the hospital. Rank sum test was used to compare the data between different regional hospitals
Results:
A total of 636 tertiary hospitals participated in the survey. The total number of beds for thoracic surgery departments was 30 646, with
3. The role of human papillomavirus 16 early genes E2 and E6 and heterogeneous nuclear ribonucleoprotein E2 in cervical carcinogenesis and their interaction effect
Wen GAO ; Ling DING ; Zhichao SONG ; Meijuan FENG ; Chunliang LIU ; Xiaoxue LI ; Li SONG ; Yuanjing LYU ; Jintao WANG
Chinese Journal of Preventive Medicine 2020;54(1):92-98
Objective:
To investigate the role of human papillomavirus (HPV) 16 early genes E2 and E6 and heterogeneous nuclear ribonucleoprotein (hnRNP) E2 and their interaction effects in the progression of the cervical cancer.
Methods:
Women with normal cervix (NC), low cervical intraepithelial neoplasia (CIN Ⅰ) and high cervical intraepithelial neoplasia (CIN Ⅱ/Ⅲ) from the cervical lesions cohort in Jiexiu County of Shanxi Province from June 2014 to September 2014, and patients with cervical squamous cell carcinoma (SCC) treated at the Second Hospital of Shanxi Medical University in the same period were enrolled in this study. There were 257 participants, about 67 NC cases (26.07%), 69 CIN Ⅰ cases (26.85%), 68 CIN Ⅱ/Ⅲ cases (26.46%), and 53 SCC cases (20.62%), respectively. The information of demographic characteristics, life health habits and cervical lesions were collected by using the structured questionnaire. Cervical exfoliated cells and cervical biopsy tissues were collected to detect the infection of HPV16 and the protein expression levels of hnRNP E2, HPV16 E2 and E6. According to the median-value of the protein expression levels of hnRNP E2, HPV16 E2 and E6 and E2/E6 ratio in the NC group, the study participants were divided into the high and low expression groups/ratio groups. The multivariate logistic regression model was used to analyze the correlation between HPV16 early gene E2 and E6, hnRNP E2 and cervical cancer. The interaction effect was analyzed by using the generalized multifactor dimensionality reduction (GMDR) model.
Results:
The ages of NC, CIN Ⅰ, CIN Ⅱ/Ⅲ and SCC groups were (47.00±9.07), (47.64±7.35), (46.37±8.67) and (51.26±8.03) years old, respectively. The multivariate logistic regression model analysis showed that the HPV16 E2 low expression, E6 high expression and E2/E6 low ratio could increase the risk of CIN Ⅱ/Ⅲ, about