Tricholoma giganteum is a famous species product of Jishou in the wes t of Hunan.It have not only special biological characteristics such as formatio n and ecological enviromment,but also delicious,fragrant with abundant nutrien t.It's mycelium can be isolated and growing well in medium,but its fruiting bo dy is difficult to be formed.

Eukaryotic expression plasmid pCI-neo-mdr1 which contains human multidrug resistance gene 1(mdr1),was constructed and transferred into human hepatocarcinoma HepG2 cells by use of liposome. G418 was used to screen the cells successfully with mdr1 and the selected cells was named HepG2/mdr1 Morphological and biological properties of HepG2/mdr1 cells were observed. The results show that the constructed HepG2/mdr1 cell line was high efficient and stationary in the expression of mdr1. The work was valuable and desirable for the establishment of multidrug resistant cell models,and for the study of MDR in human hepatoma. Furthermore,the work also provided a perfect model for the research of relationship between insulin resistance and MDR in hepatocarcinoma cells.

Objective To evaluate the effect of TGF-β1 and IL-1β expression in serum on acute radiation-induced heart disease (RIHD) in patients with thoracic tumors.Methods Three-dimensional conformal radiotherapy (3D-CRT) or intensity modulated radiotherapy (IMRT) was delivered at 1.8-2.0 Gy,5 times per week to a total dose of 50-66 Gy to 44 patients with lung cancer and 10 patients with esophagus cancer.The target and organs at risk dose distribution were analyzed by 3-dimensiond treatment planning system.The expressions of TGF-β1 and IL-1β in serum were detected by enzyme linked immunosorbent assay before and at the end of the irradiation.The cardiac injury was evaluated by detecting the cmyocardium creatase,cardiac troponin I (cTnI),electrocardiogram and cardiac function before and at the end of the irradiation within 90 d.The acute RIHD was evaluated by the Common Terminology Criteria V 3.0 (NCI-CTCAE 3.0).The expressions of TGF-β1 and IL-1β in the serum of RIHD patients with thoracic tumors were analyzed.Results The expression of TGF-β1 in serum was (888.4 ± 41.1) μg/L before the irradiation and approached to (926.1 ± 23.1) μg/L at the end of the radiotherapy.The expression level of TGF-β1 in the serum of acute RIDH group was (900.6 ± 34.5) μg/L,higher than that of normal group [(865.7 ±47.0) μg/L,t =-2.646,P ＜0.05)].The acute RIDH was correlated with the expression level of TGF-β1 before irradiation and the difference before and at the end of irradiation (r =0.378,0.311,P ＜0.05).The IL-1β expression had no significant difference before and after irradiation.The expression of TGF-β1 in serum before and at the end of irradiation had positive correlation with the expression of IL-1β at the end of the irradiation (r =0.416,0.389,P ＜ 0.05).Conclusions The expression of TGF-β1 in the serum of patients with thoracic tumor increases after irradiation and correlated with the acute RIHD,but the expression of IL-1β in serum has no relationship with RIHD.TGF-β1 could induce the expression of IL-1β at the end of the irradiation.

No abstract available.
Anticoagulants ; Echocardiography, Transesophageal ; Embolism ; Endocarditis ; Endocarditis, Bacterial ; Heart Valve Prosthesis ; Heart Ventricles ; Hemodynamics ; Male ; Mitral Valve ; Mitral Valve Insufficiency ; Outpatients ; Pneumonia ; Systolic Murmurs ; Warfarin ; Humans

Background Neovascular glaucoma (NVG) is a serious ocular disease which may cause blindness.The primary pathogenesis of NVG is ischemic retinopathy derived by central retinal vein occlusion (CRVO) and diabetic retinopathy (DR).Clinical characteristics of NVG are variable based on the difference of primary diseases,such as CRVO and DR.However,there is a few studies regarding the diffcrcnces of NVG initiated by CRVO and DR.Objective This study was to compare the clinical characteristics in NVG patients secondary to CRVO and DR.Methods A series case observational study was carried out in Hiserve Hospital of Qingdao University from January 2009 to June 2012.Twenty-nine eyes of 27 patients with NVG caused by CRVO (10 eyes of 10 patients) and DR (19 eyes of 17 patients) were included.The history of underlying diseases,course of NVG,intraocular pressure(IOP),fundus findings and complications after treatment were analyzed and compared between the CRVO-derived NVG and DR-derived NVG.All patients underwent panretinal photocoagulation,improving microcirculation therapy,anti-glaucoma (drug or surgery) and causative disease treatment,and some of them received vitrectomy or/and cataract surgery.Two eyes from each group received intravitreal injection of ranibizumab.The follow-up time in both groups was (14.00±10.13) months and (17.89±12.52) months,respectively.Results The median time of underlying disease was 3.3 months (2 weeks to 6 months) in the CRVO patients and 11.1 months (4 to 36 mouths) in the DR patients,with a significant difference between them (Z =-2.40,P＜0.05).CRVO-derived NVG progress was much faster than that of DR-derived NVG.The number of the eyes with visual acuity improvement after treatment was 2 in the CRVO-derived NVG and 15 in the DR-derived NVG;while the number of the eyes with unchanged or worse visual acuity was 8 and 4 in the CRVO-derived NVG eyes and the DR-derived NVG eyes (x2 =9.38,P＜0.01).The difference of IOP in pre-and post-treatment was (37.00±9.91)mmHg in the CRVOderived NVG eyes and (8.92±12.05)mmHg in the DR-derived NVG eyes,showing a significant difference between them (t =6.30,P＜0.01).In the CRVO-derived NVG eyes,optic disc edema,retinal hemorrhage,and vein dilatation were seen in 6 eyes,and mild optic disc edema and retinal hemorrhage were observed in 4 eyes.After treatment,fundus could not be seen in 4 eyes,in other 2 eyes optic disc and retinal laser spots were unclearly observed.In addition,pale optic disc and retinal vessel occlusion appeared in 2 eyes,and silver wire-like arteries exhibited in 2 eyes.In pre-treated DR-derived NVG eyes,fundus could not be seen in 8 eyes and Ⅲ-Ⅳv stages of DR findings appeared in 11 eyes.After treatment,retinopathy was stabilized in 16 eyes of 15 cases.Advanced retinopathy(V-Ⅵ stages of DR findings) was revealed in 3 eyes of 3 cases.The incidence of the complication after treatment was 100.0％ in the CRVO-derived NVG eyes and 21.1％ in the DR-derived NVG eyes (x2=5.18,P＜0.05).Conclusions The clinical characteristics of NVG secondary to CRVO and DR are variable,an appropriate treatment option should be selected according to different features of NVG.

Background: Platform work offers flexibility and autonomy to workers, but there are concerns about the impacts of excessive labor control exercised by digital platforms using algorithmic management. This study assessed the level of labor control exerted by digital platforms and explored its associations with psychosocial work conditions and workers' mental well-being. Methods: A total of 487 location-based platform workers in Taiwan, encompassing ride-hailing, delivery, and house chore services, participated in this questionnaire survey. A 5-item scale was created to assess platform-mediated labor control. Psychosocial work conditions, including demands, job control, work rewards, and mental well-being, including burnout and self-rated mental health status, were assessed using validated instruments. Cronbach's α and principal component analysis were employed to assess the validity of the labor control scale. Logistic regression analysis and path analysis were conducted to investigate the relationship between labor control and workers' mental health. Results: Exploratory factor analyses confirmed the structural validity and the internal consistency of the scale. Logistic regression models revealed that higher levels of labor control were associated with an increased risk of burnout and poorer mental health. Path analyses further indicated that higher labor control through digital platforms raised mental health risks by increasing job demands. Conclusion Algorithmic management is associated with increased stress among platform workers as they try to meet the platform's performance metrics.

Background: Platform work offers flexibility and autonomy to workers, but there are concerns about the impacts of excessive labor control exercised by digital platforms using algorithmic management. This study assessed the level of labor control exerted by digital platforms and explored its associations with psychosocial work conditions and workers' mental well-being. Methods: A total of 487 location-based platform workers in Taiwan, encompassing ride-hailing, delivery, and house chore services, participated in this questionnaire survey. A 5-item scale was created to assess platform-mediated labor control. Psychosocial work conditions, including demands, job control, work rewards, and mental well-being, including burnout and self-rated mental health status, were assessed using validated instruments. Cronbach's α and principal component analysis were employed to assess the validity of the labor control scale. Logistic regression analysis and path analysis were conducted to investigate the relationship between labor control and workers' mental health. Results: Exploratory factor analyses confirmed the structural validity and the internal consistency of the scale. Logistic regression models revealed that higher levels of labor control were associated with an increased risk of burnout and poorer mental health. Path analyses further indicated that higher labor control through digital platforms raised mental health risks by increasing job demands. Conclusion Algorithmic management is associated with increased stress among platform workers as they try to meet the platform's performance metrics.

Background: Platform work offers flexibility and autonomy to workers, but there are concerns about the impacts of excessive labor control exercised by digital platforms using algorithmic management. This study assessed the level of labor control exerted by digital platforms and explored its associations with psychosocial work conditions and workers' mental well-being. Methods: A total of 487 location-based platform workers in Taiwan, encompassing ride-hailing, delivery, and house chore services, participated in this questionnaire survey. A 5-item scale was created to assess platform-mediated labor control. Psychosocial work conditions, including demands, job control, work rewards, and mental well-being, including burnout and self-rated mental health status, were assessed using validated instruments. Cronbach's α and principal component analysis were employed to assess the validity of the labor control scale. Logistic regression analysis and path analysis were conducted to investigate the relationship between labor control and workers' mental health. Results: Exploratory factor analyses confirmed the structural validity and the internal consistency of the scale. Logistic regression models revealed that higher levels of labor control were associated with an increased risk of burnout and poorer mental health. Path analyses further indicated that higher labor control through digital platforms raised mental health risks by increasing job demands. Conclusion Algorithmic management is associated with increased stress among platform workers as they try to meet the platform's performance metrics.

Background: Platform work offers flexibility and autonomy to workers, but there are concerns about the impacts of excessive labor control exercised by digital platforms using algorithmic management. This study assessed the level of labor control exerted by digital platforms and explored its associations with psychosocial work conditions and workers' mental well-being. Methods: A total of 487 location-based platform workers in Taiwan, encompassing ride-hailing, delivery, and house chore services, participated in this questionnaire survey. A 5-item scale was created to assess platform-mediated labor control. Psychosocial work conditions, including demands, job control, work rewards, and mental well-being, including burnout and self-rated mental health status, were assessed using validated instruments. Cronbach's α and principal component analysis were employed to assess the validity of the labor control scale. Logistic regression analysis and path analysis were conducted to investigate the relationship between labor control and workers' mental health. Results: Exploratory factor analyses confirmed the structural validity and the internal consistency of the scale. Logistic regression models revealed that higher levels of labor control were associated with an increased risk of burnout and poorer mental health. Path analyses further indicated that higher labor control through digital platforms raised mental health risks by increasing job demands. Conclusion Algorithmic management is associated with increased stress among platform workers as they try to meet the platform's performance metrics.

Background: Platform work offers flexibility and autonomy to workers, but there are concerns about the impacts of excessive labor control exercised by digital platforms using algorithmic management. This study assessed the level of labor control exerted by digital platforms and explored its associations with psychosocial work conditions and workers' mental well-being. Methods: A total of 487 location-based platform workers in Taiwan, encompassing ride-hailing, delivery, and house chore services, participated in this questionnaire survey. A 5-item scale was created to assess platform-mediated labor control. Psychosocial work conditions, including demands, job control, work rewards, and mental well-being, including burnout and self-rated mental health status, were assessed using validated instruments. Cronbach's α and principal component analysis were employed to assess the validity of the labor control scale. Logistic regression analysis and path analysis were conducted to investigate the relationship between labor control and workers' mental health. Results: Exploratory factor analyses confirmed the structural validity and the internal consistency of the scale. Logistic regression models revealed that higher levels of labor control were associated with an increased risk of burnout and poorer mental health. Path analyses further indicated that higher labor control through digital platforms raised mental health risks by increasing job demands. Conclusion Algorithmic management is associated with increased stress among platform workers as they try to meet the platform's performance metrics.