Objective We aimed to establish the benchmark characteristic map of Fuzi decoction and the determination method of multi-index components,and to clarify the key quality attributes of Fuzi decoction.Methods Fifteen batches of Fuzi decoction substance benchmarks samples were prepared;the high-performance liquid chromatography(HPLC)characteristic spectrum of Fuzi decoction was established;and characteristic peak attribution and similarity analysis were performed.Ginsenosides Rg1,Re,Rf,and Rb1 were used as the index components to establish a method to determine ginseng content in Fuzi decoction.The value range of each quality control index was set at a limit of 70%-130%of the average value,and the quantity transfer analysis was performed on the material basis of 15 Fuzi decoction batches.Results The characteristic spectra of the 15 Fuzi decoction batches had 12 common peaks,and seven characteristic peaks of gallic acid,catechin,paeoniflorin,ginsenosides Rg1,Re,and Rb1,and atractylenolide Ⅲ were identified,with a similarity of more than 0.98.Ginsenosides Rg1,Re,Rf,and Rb1 content ranges were 0.51-0.94,0.34-0.62,0.14-0.27,and 0.41-0.76 mg/g,respectively.The transfer rates of ginsenosides Rg1 and Re,Rf,and Rb1 were 12.05%-26.91%,11.15%-43.71%,and 10.53%-33.23%,respectively.Conclusion The characteristic HPLC of Fuzi decoction and the determination method of Fuzi decoction ginseng content established in this study are accurate,reproducible,and stable,laying the foundation for the quality evaluation of the key chemical properties of Fuzi decoction and its preparation.

Objective To establish a UPLC-MS/MS method to measure the content of monoester-alkaloids(benzoylmesaconine,benzoylaconine,benzoylhypaconine)and diester-alkaloids(mesaconitine,hyp-aconitine,aconitine)in Fengshiantai tablets.To provide a basis for quality control by conducting chemometric analysis and risk assessment on the measurement results.Methods The components were separated on Waters BEH C18 column(2.1 mm×100 mm,1.7 μm)with methanol and 0.1%formicacid aqueous solution as the mobile phase by gradient elution at a flow rate of 0.3 mL·min-1.The column temperature was set at 35℃.The injection volume was 1 μL.The detection was carried out by electrospray ionization(ESI),and electron spray ionization source was adopted in positiveion detection with multiple reaction monitoring mode(MRM).Results Six components showed good linear relationships within their own ranges(r≥0.9990),whose average recovery rate of samples were 90.3%-107.6%with the RSD of 0.9%-1.8%.In 23 batches of tested samples,the diester-alkaloids contents ranged from 1.35 to 19.49 μg per tablet,which indicated low risk of drug safety;the monoester-alkaloids contents ranged from 20.17-99.55 μg per tablet.The results of chemometrics showed that 23 batches of samples were classify into four categories,and there were certain differences in sample quality among different production enterprises.Conclusion The established method is stable and reliable,and can be used for quality control of Fengshi Antai tablets.

Background Women face more reproductive health problems in their whole life cycle. Occupational exposure to harmful factors in the petrochemical industry may have a synergistic effect on women’s existing health problems. Objective To analyze the influencing factors of perimenopausal syndrome (PMS) in female workers in petrochemical industry, and establish a nomogram model of the risk of PMS in female workers, so as to provide a easy and quick health monitoring and evaluation method for female workers. Methods A total of 2653 perimenopausal female workers aged 45-55 years old were selected from a petrochemical enterprise. A questionnaire survey was conducted to collect information on demographic characteristics, occupational characteristics, psychological status, and reproductive health information. The prevalence of PMS of female workers was evaluated by the Kupperman Index Scale, the physical fatigue and mental fatigue were evaluated by the Fatigue Scale. A linear graph prediction model was established by multiple logistic regression. A nomogram was presented and C-index was used to verify the differentiation of the model. Then Bootstrap method was used for internal validation. Results Among the 2653 female worker, a total of 1306 cases (49.2%) presented PMS with a Kupperman score ≥7. The main symptoms were fatigue (79.95%), irritability (71.32%), and insomnia (66.79%). Significant differences in PMS prevalence were found among female workers of different age, body mass index, and working posture groups (P < 0.05). The participants with alcohol drinking, maternal premature or late menopause, hypertension, lack of physical exercise, heavy lifting, sick leave in the last 6 months, combined occupational exposures to dust, chemicals, noise [> 80 dB(A)], or electromagnetic field, and not wearing protective masks, gloves or protective earplugs reported higher prevalence rates of PMS (P < 0.05). The prevalence rate of PMS in female workers with sleep duration ≤ 6 h was higher than that with > 6 h (P < 0.05), and higher in female workers with physical and mental fatigue than in those without (P < 0.05). The results of logistic regression analysis showed that those with maternal premature or late menopause (OR=1.572, 95%CI: 1.320−1.872), hypertension (OR=1.579, 95%CI: 1.127−2.213), alcohol drinking (OR=1.286, 95%CI: 1.080−1.532), no physical exercise (OR=1.598, 95%CI: 1.330−1.920), sleep duration ≤ 6 h (OR=1.853, 95%CI: 1.518−2.263), sick leave in recent 6 months (OR=1.614, 95%CI: 1.226−2.123), physical fatigue (OR=2.384, 95%CI: 1.887−3.012), mental fatigue (OR=5.649, 95%CI: 4.382−7.283), combined exposure to occupational harmful factors (OR=1.329, 95%CI: 1.108−1.593), long-time sitting (OR=2.014, 95%CI: 1.271−3.190), and heavy lifting (OR=1.505, 95%CI: 1.178−1.923) showed a higher risk of reporting PMS (P<0.05). The C-index from the ROC curve of the nomogram model was 0.748 (95%CI: 0.729−0.766). The results of Bootstrap validation showed that the standard curve and the predicted curve almost overlapped, and the absolute error was 0.008, indicating that the model fitness was good. Conclusion PMS in female petrochemical workers may occur due to long-term exposures to multiple factors. The established nomogram model has good predictive ability and could be applied to monitor and evaluate female reproductive health in petroleum industry.

Objective:To explore the influencing factors of abnormal menstruation of female workers in a petrochemical enterprise.Methods:A total of 5186 female employees in a petrochemical enterprise were selected as the research objects from July 2018 to December 2019. A questionnaire survey was conducted from four aspects: basic information, occupational status, psychological status at work, reproductive and reproductive health, and a multivariate logistic regression model was used for analysis.Results:Among 5132 female workers, 676 were postmenopausal and 1117 (25.1%) among 4456 non-postmenopausal women had abnormal menstruation in the last 6 months. Logistic regression analysis showed that age (<30、30~35 years) and length of service (≤20 years) were protective factors ( OR=0.573, 0.590, 0.798, P<0.05) . Age (40~45、45~50 years old) , sleep duration (<6 h) , premature OR late menopause of maternal relatives, occupational exposure to dust, occupational exposure to chemicals, not wearing earplugs, leave due to health reasons in the last 6 months, reproductive tract infection OR symptoms in the last 6 months, spontaneous abortion, induced abortion, physical fatigue and mental fatigue were risk factors for menstrual abnormalities in female workers ( OR=2.318, 5.544, 1.231, 1.199, 1.336, 1.403, 1.351, 1.538, 1.613, 1.584, 1.199, 1.601, 1.936, P<0.05) . Conclusion:The abnormal menstruation of female workers is affected by many factors in the occupational process, and specific measures should be taken to improve the reproductive health of female workers.

Objective:To explore the influencing factors of abnormal menstruation of female workers in a petrochemical enterprise.Methods:A total of 5186 female employees in a petrochemical enterprise were selected as the research objects from July 2018 to December 2019. A questionnaire survey was conducted from four aspects: basic information, occupational status, psychological status at work, reproductive and reproductive health, and a multivariate logistic regression model was used for analysis.Results:Among 5132 female workers, 676 were postmenopausal and 1117 (25.1%) among 4456 non-postmenopausal women had abnormal menstruation in the last 6 months. Logistic regression analysis showed that age (<30、30~35 years) and length of service (≤20 years) were protective factors ( OR=0.573, 0.590, 0.798, P<0.05) . Age (40~45、45~50 years old) , sleep duration (<6 h) , premature OR late menopause of maternal relatives, occupational exposure to dust, occupational exposure to chemicals, not wearing earplugs, leave due to health reasons in the last 6 months, reproductive tract infection OR symptoms in the last 6 months, spontaneous abortion, induced abortion, physical fatigue and mental fatigue were risk factors for menstrual abnormalities in female workers ( OR=2.318, 5.544, 1.231, 1.199, 1.336, 1.403, 1.351, 1.538, 1.613, 1.584, 1.199, 1.601, 1.936, P<0.05) . Conclusion:The abnormal menstruation of female workers is affected by many factors in the occupational process, and specific measures should be taken to improve the reproductive health of female workers.

Cancer-associated fibroblasts (CAFs) are one of the most important cellular components of the tumor microenvironment in pancreatic ductal adenocarcinoma. CAFs acquire an activated phenotype via various cytokines, promote tumor proliferation and growth, accelerate invasion and metastasis, induce angiogenesis, and enhance chemical drug resistance. Therefore, studies on the interaction between CAFs and pancreatic ductal adenocarcinoma cells are expected to improve the diagnostic and therapeutic value of patients with pancreatic ductal adenocarcinoma from the perspective of tumor microenvironment.

Objective:The epidemiological characteristics of occupational pneumoconiosis in Gansu Province from 2010 to 2018 were analyzed to provide a theoretical basis for the development of prevention and control strategies for pneumoconiosis in Gansu Province.Methods:In March 2019, the data of newly diagnosed occupational pneumoconiosis in 2010 -2018 and the data of occupational pneumoconiosis as of December 31, 2018 in Gansu Province were collected by the Occupational Disease and Occupational Health Information Monitoring System. The stage, type of disease, time, enterprise information of newly diagnosed pneumoconiosis and the region, type of disease, enterprise information of existed pneumoconiosis were analyzed. Results:From 2010 to 2018, a total of 1269 new cases of occupational pneumoconiosis were reported in Gansu Province, including 818 cases (64.46%) of stage I pneumoconiosis, 284 cases (22.38%) of stage II pneumoconiosis, 167 cases (13.16%) of stage III pneumoconiosis. Silicosis, coal worker's pneumoconiosis and cement pneumoconiosis ranks the top 3, accounting for 55.71% (707/1269) , 37.67% (478/1269) and 3.78% (48/1269) of the total number, respectively. The new cases of stage III pneumoconiosis were mainly distributed in private economy (58.09%, 79/136) and small -sized (59.88%, 97/162) enterprises. As of December 31, 2018, Gansu Province had reported a total of 12211 cases of occupational pneumoconiosis, of which 58.16% (7102/12211) were coal worker's pneumoconiosis and 28.15% (3438/12211) were silicosis. Mainly distributed in Baiyin city (21.63%, 2641/12211) , Lanzhou city (17.79%, 2172/12211) and Wuwei city (13.73%, 1676/12211) . The existed cases of pneumoconiosis are mainly distributed in state -owned economy (76.95%, 9396/12211) and large -sized (54.23%, 6622/12211) enterprises. Conclusion:Silicosis and coal worker's pneumoconiosis are the main type of pneumoconiosis in Gansu Province. And the number of silicosis reported is on the rise, which should be taken seriously. Pneumoconiosis in Gansu Province is mainly distributed in state -owned economy and large -sized enterprises. However, pneumoconiosis patients in private economy and small -sized enterprise is generally serious, so it should be the focus of supervision.

Objective:The epidemiological characteristics of occupational pneumoconiosis in Gansu Province from 2010 to 2018 were analyzed to provide a theoretical basis for the development of prevention and control strategies for pneumoconiosis in Gansu Province.Methods:In March 2019, the data of newly diagnosed occupational pneumoconiosis in 2010 -2018 and the data of occupational pneumoconiosis as of December 31, 2018 in Gansu Province were collected by the Occupational Disease and Occupational Health Information Monitoring System. The stage, type of disease, time, enterprise information of newly diagnosed pneumoconiosis and the region, type of disease, enterprise information of existed pneumoconiosis were analyzed. Results:From 2010 to 2018, a total of 1269 new cases of occupational pneumoconiosis were reported in Gansu Province, including 818 cases (64.46%) of stage I pneumoconiosis, 284 cases (22.38%) of stage II pneumoconiosis, 167 cases (13.16%) of stage III pneumoconiosis. Silicosis, coal worker's pneumoconiosis and cement pneumoconiosis ranks the top 3, accounting for 55.71% (707/1269) , 37.67% (478/1269) and 3.78% (48/1269) of the total number, respectively. The new cases of stage III pneumoconiosis were mainly distributed in private economy (58.09%, 79/136) and small -sized (59.88%, 97/162) enterprises. As of December 31, 2018, Gansu Province had reported a total of 12211 cases of occupational pneumoconiosis, of which 58.16% (7102/12211) were coal worker's pneumoconiosis and 28.15% (3438/12211) were silicosis. Mainly distributed in Baiyin city (21.63%, 2641/12211) , Lanzhou city (17.79%, 2172/12211) and Wuwei city (13.73%, 1676/12211) . The existed cases of pneumoconiosis are mainly distributed in state -owned economy (76.95%, 9396/12211) and large -sized (54.23%, 6622/12211) enterprises. Conclusion:Silicosis and coal worker's pneumoconiosis are the main type of pneumoconiosis in Gansu Province. And the number of silicosis reported is on the rise, which should be taken seriously. Pneumoconiosis in Gansu Province is mainly distributed in state -owned economy and large -sized enterprises. However, pneumoconiosis patients in private economy and small -sized enterprise is generally serious, so it should be the focus of supervision.

Objective: To explore the clinicopathological characteristics and prognostic factors of gastric neuroendocrine neoplasm (NEN). Methods: Clinicopathological parameters and follow-up data collected from 117 patients with gastric NEN at Tianjin Medical University Cancer Institute and Hospital from March 2011 to December 2017 were reviewed, classified, and graded according to World Health Or-ganization (WHO) 2010 classification. Clinicopathological characteristics of different types and grades of gastric NEN were compared and survival analysis was performed. Results: Among the 117 cases confirmed as gastric NEN, this entire cohort comprised 13 cases (11.1%) of neuroendocrine tumor (NET) G1, 6 cases (5.1%) of NET G2, 57 cases (48.7%) of neuroendocrine carcinoma (NEC), and 41 cases (35.1%) of mixed adenoneuroendocrine carcinoma (MANEC). Gastric NET G1 and G2 typically consisted of multiple small tumors with shallow invasion and infrequent lymphatic and distant metastases at early stages at the time of diagnosis. The treatment of patients with gastric NET included endoscopic submucosal dissection and radical surgical resection. Precursor neuroendocrine lesions were detected in most cases. The patients with gastric NET G1 and G2 had a good prognosis. Gastric NEC and MANEC mostly consisted of single large tumors with deep infiltration, and common lymphatic and distant metastases at advanced stages when the diagnoses were confirmed. All the patients with gastric NEC and MANEC underwent surgical resection, and most received adjuvant therapy. Histopathological changes of gastric NEC were characterized by large cells and poorly differentiated tumors, while gastric MANEC had various forms of neuroendocrine and adenocarcinoma components. The prognosis of patients with gastric NEC and MANEC was poor for both; however, the predictors of progression-free survival and overall survival were different between gastric NEC and MANEC. Conclusions: Gastric NEN are a group of heterogeneous tumors with different clinicopathological features and prognosis. More multicenter studies with large sample sizes are still needed to improve the classification of gastric NEN and explore the prognostic factors.

Objective: To analyze the epidemiological characteristics of occupational diseases in Gansu Province, China in 2010-2017, and to provide a scientific basis for the prevention and control of occupational diseases. Methods: The cluster sampling method was adopted to make statistical analysis of 1339 cases of occupational disease reported by "occupational disease and occupational health information monitoring system" in Gansu province from 2010 to 2017, to investigate the diseases, regions and industries of occupational diseases in June 2018. Results: A total of 1339 cases of occupational diseases (39 types, 8 classes) were diagnosed and reposed in 2010-2017. The three most frequent diseases were pneumoconiosis (87.53%, 1172/1339), occupational poisonings (5.83%, 78/1339), and occupational ear, nose, and throat (ENT) diseases (3.14%, 42/1339). The cases of silicosis accounted for 54.61% (640/1172) of all cases of pneumoconiosis, the second was coalworker pneumoconiosis, which accounted for 38.57% (452/1172). In the cases of occupational poisonings, 32.05% (25/78) suffered from carbon monoxide poisoning. Patients with occupational diseases were reported in 14 districts of Gansu, mostly in Lanzhou (27.52%, 347/1261), Jinchang (16.57%, 209/1261), and Baiyin (14.20%, 179/1261). The reported cases are mainly concentrated in mining (71.56%, 468/654) and manufacturing (21.87%, 143/654), the types of state-owned economy (55.63%, 692/1244) and private economy (33.68%, 419/1244), large (43.41%, 540/1244) and small enterprises (35.21%, 438/1244) in 2010-2017 in Gansu. Conclusion The pneumoconiosis caused by silicious and coal dust and the occupational poisonings caused by carbon monoxide seem to be the main occupational hazards in Gansu province. Occupational diseases occur in all districts of Guangzhou and in various industries. The state-owned economy and private sector, large and small enterprises should be the focuses of occupational health supervision.