Objective To observe the expression of SGK in decidua in patients with unexplained recurrent spontaneous abortion(URSA) and to investigate its role in the course of apoptosis.Methods The expression of SGK was detected by immunohistochemistry in decidua of URSA(abortion group,n =50) and normal first trimester pregnant women(control group,n =30).The apoptotic index was detected by TUNEL.Results Compared with the control group,the positive expression of SGK decreased significantly in the abortion group,and the difference was statistically significant(x2 =6.78,P ＜ 0.05).The average apoptotic index of the abortion group was (8.19 ± 3.58) ％,which was significantly higher than (2.87 ±1.07)％ of the control group(t =7.94,P＜0.05).Conclusion Intensive apoptosis,the decreasing positive expression rate of SGK in decidua cells may play critical roles in URSA.

AIM: To investigate the dynamic influence of zanthoxylum seed oilA2(ZSOA2) on NF-?B signaling pathway and inflammatory factor in pulmonary tissue of asthmatic mice.METHODS: The suspensoid(0.2 mL containing 20% albumin hydroxide and 10% ovalbumin) was administered by intraperitoneal injection to sensitize the BALB/c mice on day 1,then 0.4% ovalbumin solution(50 ?L in phosphate buffer fluid) was dripped into the respiratory tract through nasal cavity to establish the asthmatic mouse model.After dripped ovalbumin for 24 h,48 h,3 d,7 d and 14 d,the mice were killed at specified time points.The contents of interleukin-4(IL-4),interleukin-5(IL-5) and interferon-?(IFN-?) in bronchoalveolar lavage fluid(BALF) were determined by ELISA.The pathological changes of the lung tissues were observed with HE staining.The inflammatory cell counts were conducted by Eosin staining.The protein levels of adhesion molecule and the molecules of NF-?B signaling pathway in lung tissues were determined by Western blotting.RESULTS: In ZSOA2 treated mice,the pathological injury of the lung was significantly attenuated as compared to the model mice,the counts of eosinophils and lymphocytes were reduced obviously in lung bronchial area of asthmatic mice at all observed time points(P

Objective To analyze mutations in the ATP2A2 gene in a Kazakh family with Darier's disease.Methods Clinical data were collected from 49 members from a family with Darier's disease,and peripheral blood samples were obtained from 44 family members and 100 unrelated healthy people.Genomic DNA was extracted from these blood samples.PCR and DNA sequencing were performed to detect mutations in the ATP2A2 gene.Results Darier's disease was inherited in an autosomal dominant manner in this family.A G→A heterozygous mutation (1288-1G→A) was identified at position 1288-1 at the splice site in exon 12 of the ATP2A2 gene in 11 patients in this family,but not in 33 healthy members or 100 healthy controls.Conclusion Darier's disease in this family may be caused by the heterozygous mutation (1288-1G→A)at the splice site in exon 12 of the ATP2A2 gene.

Objective To establish a quality standard for Jianpibushen granules .Methods The five main ingredients of the formulation :Astragalus membranaceus ,Salvia miltiorrhiza Bunge ,Codonopsis pilosula ,Citrus reticulata Blanco and Paeonia lactif lora Pall ,were identified by thin layer chromatography (TLC) respectively .The content of peoniflorin in Paeo-nia lactif lora was determined by high performance liquid chromatography (HPLC) .The separation was performed on Agilent Eclipse Plus C18 column(4 .6 mm × 250 mm ,5 μm) .The mobile phase was acetonitrile and 0 .1% potassium dihydrogen phos-phate solution for gradient elution .The flow rate was 1 ml/min ,the column temperature was 25 ℃ ,the UV detection was per-formed at 230 nm .Results The spots in TLC were clear without interference in negative control .A good linear relationship was shown within the range of 8 .676-277 .632 μg /ml for peoniflorin (r=0 .999 9) .Conclusion This method is simple ,accu-rate and reproducible ,and can be used as an effective quality control of Jianpibushen granules .

The prevalence and distribution of infectious diseases and occupational diseases in specific time and space is the result of the interaction between natural environment, social economy and other factors, its distribution pattern has spatial properties. Based on the assumption of independence, the traditional statistical methods ignore the spatial attributes of diseases and cannot analyze the spatial characteristics of diseases. On the basis of geographic information system, the spatial autocorrelation analysis can simultaneously analyze the spatial relationship and attribute value of diseases, explore the spatial dependence of disease data in different spatial units, and provide decision-making basis for the prediction and early warning of diseases such as occupational and infectious diseases, and the formulation and evaluation of prevention and control measures.

The prevalence and distribution of infectious diseases and occupational diseases in specific time and space is the result of the interaction between natural environment, social economy and other factors, its distribution pattern has spatial properties. Based on the assumption of independence, the traditional statistical methods ignore the spatial attributes of diseases and cannot analyze the spatial characteristics of diseases. On the basis of geographic information system, the spatial autocorrelation analysis can simultaneously analyze the spatial relationship and attribute value of diseases, explore the spatial dependence of disease data in different spatial units, and provide decision-making basis for the prediction and early warning of diseases such as occupational and infectious diseases, and the formulation and evaluation of prevention and control measures.

OBJECTIVE: To explore the relationship of exposure to occupational hazards,labor intensity,dietary factors and the metabolic syndrome( MS) in male rolling mill workers. METHODS: A total of 1 105 male workers in a rolling mill were studied as research objects by judgment sampling method. The basic information of the subjects was collected by questionnaire survey and health examination. The prevalence of MS was analyzed according to different individual characteristics of workers. Multi-factor logistic regression analysis was conducted for analysis of the affecting factors of MS.RESULTS: The prevalence of MS in the subjects was 32. 5%( 359/1 105). The prevalence of MS in workers exposed to occupational hazards was higher than that in the control group( 33. 5% vs 20. 2%,P < 0. 05). The prevalence of MS increased with age( P < 0. 05),and decreased with the increase of labor intensity and family per capita monthly income( P < 0. 05). The prevalence of MS in smokers was higher than that in non-smokers( P < 0. 017),and the prevalence of MS in workers with animal dietary was higher than those with balanced dietary and with traditional dietary( P < 0. 017).The multivariate logistic regression analysis showed that after the adjustment of confounding factors such as age,seniority,family per capita monthly income,smoking and drinking,MS risk in a single factor of carbon monoxide exposure group,high temperature combined with carbon monoxide exposure group and high temperature combined with noise exposure group were higher than that of the control group without exposure to occupational hazards respectively( P < 0. 05),and the ratio of the 95% confidence interval were 2. 246( 1. 097-4. 597),2. 581( 1. 308-5. 094) and 2. 435( 1. 281-4. 627). The risk of MS in workers with animal dietary was higher than that with traditional dietary( P < 0. 01),the odds ratio and 95%confidence interval was 1. 497( 1. 106-2. 025). The grade of MS was 24. 6% lower than the original labor intensity with each increasing grade of risk( P < 0. 05). CONCLUSION: The animal dietary,increased labor intensity,exposure to carbon monoxide,high temperature combined with carbon monoxide and high temperature combined with noise can all increase the risk of MS.

Objective: To investigate the value of means of surfaces with nonhomogeneity (MSN) in esti-mating the incidence of pneumoconiosis. Methods: Based on the principal component analysis, all counties (districts) of Hebei Province, China, were divided into three categories according to the degree of pneumoconiosis hazards and the MSN model was used to estimate the incidence rate of pneumoconiosis and the number of pneu-moconiosis cases using the data of the incidence of pneumoconiosis in 2010. Results: With reference to the appli-cation requirements of the MSN model, results of the principal component analysis, and expert experience, the 172 counties (districts) in Hebei Province were divided into three categories with mild, moderate, and severe pneumoconiosis hazards. There were 74, 61, and 49 counties in the above categories, respectively, and 12, 12, and 25 counties were selected from them, respectively. The estimated number of pneumoconiosis cases in Hebei Province was 2105, and the incidence rate was 261.5 per hundred thousand, with a standard error of esti-mation of 389.9 per hundred thousand. Conclusion The MSN model provides a new thought and method for es-timating the number of pneumoconiosis cases.

Objective:To explore the temporal and spatial characteristics of pneumoconiosis in Hebei Province from 2009 to 2018, and to provide evidence for the policy development of pneumoconiosis prevention and control.Methods:In February 2019, a database of pneumoconiosis incidence from 2009 to 2018 in Hebei Province was built. The spatial-temporal distribution of pneumoconiosis in Hebei Province was displayed based on barycenter migration technology and spatial autocorrelation analysis.Results:A total of 6099 cases of pneumoconiosis were reported in Hebei Province from 2009 to 2018, the top 5 pneumoconiosis were silicosis(4399, 72.13%) , coal worker pneumoconiosis (1298 , 21.28%) , ceramics pneumoconiosis (224, 3.67%) , welding worker's pneumoconiosis(76, 1.25%) , and casting worker's pneumoconiosis(48, 0.79%). The focus of pneumoconiosis from 2009 to 2014 moved from Tangshan in the northeast to Zhangjiakou in the northwest, and moved to Chengde in the north from 2015 to 2017, and moved back to Tangshan in 2018. The incidence of pneumoconiosis was globally autocorrelation ( P <0.05) from 2009 to 2011 and 2014 to 2018. The high-high gathering areas were located in Zhangjiakou, Chengde and other areas. Conclusion:The barycenter of pneumo- coniosis in hebei province from 2009 to 2018 is relatively stable, mainly locates in the northern part of Hebei Province over the years. There is an obvious regional aggregation, and the aggregation type is mainly high-high aggregation, which indicates that relevant departments should focus on strengthening the prevention and treat- ment of aggregation areas on the basis of overall planning.

Objective:To explore the temporal and spatial characteristics of pneumoconiosis in Hebei Province from 2009 to 2018, and to provide evidence for the policy development of pneumoconiosis prevention and control.Methods:In February 2019, a database of pneumoconiosis incidence from 2009 to 2018 in Hebei Province was built. The spatial-temporal distribution of pneumoconiosis in Hebei Province was displayed based on barycenter migration technology and spatial autocorrelation analysis.Results:A total of 6099 cases of pneumoconiosis were reported in Hebei Province from 2009 to 2018, the top 5 pneumoconiosis were silicosis(4399, 72.13%) , coal worker pneumoconiosis (1298 , 21.28%) , ceramics pneumoconiosis (224, 3.67%) , welding worker's pneumoconiosis(76, 1.25%) , and casting worker's pneumoconiosis(48, 0.79%). The focus of pneumoconiosis from 2009 to 2014 moved from Tangshan in the northeast to Zhangjiakou in the northwest, and moved to Chengde in the north from 2015 to 2017, and moved back to Tangshan in 2018. The incidence of pneumoconiosis was globally autocorrelation ( P <0.05) from 2009 to 2011 and 2014 to 2018. The high-high gathering areas were located in Zhangjiakou, Chengde and other areas. Conclusion:The barycenter of pneumo- coniosis in hebei province from 2009 to 2018 is relatively stable, mainly locates in the northern part of Hebei Province over the years. There is an obvious regional aggregation, and the aggregation type is mainly high-high aggregation, which indicates that relevant departments should focus on strengthening the prevention and treat- ment of aggregation areas on the basis of overall planning.