1.Optimization of Solid State Fermentation Medium of Bacillus licheniformis TS-01
Chuntao GU ; Renna SA ; Jianming TONG ;
Microbiology 1992;0(04):-
Bacillus licheniformis TS 01 was separated The SSF medium for TS 01 strain was investigated The result showed that the optimal fermentation medium contained (g/kg dry solid materials): water 600, brown sugar 7, rice bran 420, wheat bran 580 when the medium and inoculum size 10% (v/w) were adopted, aspore concentration of 7 50?10 9 CFU/g (wet qu) was obtained after two days' fermentation with a spore percentage of greater than 80% and a maximum live cell concentration of 9 15?10 9 CFU/g (wet qu)
2.Researches promote the institutional development of urban community health service centers
Yunfeng YANG ; Liping XU ; Wenqin GU ; Chuntao YI
Chinese Journal of General Practitioners 2017;16(5):353-355
Carrying out researches in urban community health service centers can effectively promote the improvement of management system, the cultivation of talents and the formation of characteristic service, leading to the institutional development.This paper summarizes the role and significance of researches in promoting the overall development of urban community health service center in order to provide reference for the relevant medical institutions based on the experiences in Shanghai Fenglin Community Health Service Center.
3.Integrated development model of community-featured specialty with general practice in primary care institutions
Wenqin GU ; Peng ZHOU ; Bin XUE ; Lan YANG ; Yinghua WU ; Yangyang WEI ; Haijiao LIU ; Yuanfei SHAN ; Jiankang HU ; Chuntao YI
Chinese Journal of General Practitioners 2021;20(3):370-373
The construction of featured specialties is the current development strategy of community health service institutions to improve the service scope and to meet the health needs of residents. The rehabilitation medicine has undergone 12 years of development and become a relatively mature featured specialty in Fenglin Community Health Service Center. Based on the Fenglin′s experience, this article discusses the development status and restriction bottlenecks of general practice, and the development status and trend of rehabilitation medicine in the community; and also explores the integrated development model of community-featured specialty with general practice.
4.Survey and strategies of self-management behaviors in patients with lumbar disc herniation
Jiaojiao GU ; Xuehua WANG ; Xiuzhen HU ; Xuemei LIAO ; Meifen ZHANG ; Chuntao YANG
Modern Clinical Nursing 2017;16(8):1-6
Objective To explore the self-management behaviors of the patients with lumbar disc herniation. Methods Chronic disease self-management behavior measuring scale was used to investigate the self-management behaviors of 96 lumbar disc herniation patients. Results The score on self-management behaviors of the LDH patients was 20.42±7.52. 65.63%~84.38%of the patients took the wrong position at sitting, moving articles, and fetching articles from a low and high spot. 59.38%of them did not wear the waist supporter. 73.96%~95.83%of them did not follow the doctors' advice to sleep on hard bed, carry weights and keep the back warm. Conclusions The self-management behavior among LDH patients is dissatisfying. The nurses should provide patients with education on self-management behaviors, instructing them to take effective functional exercises, focusing on importance of cognitive symptom management in relieving pain and reducing negative emotion. Meanwhile, the nurses should advice patients to take right self-management behavior in daily life in order to promote the recovery of the function by patients' healthy behavior and life style.
5.Effects of NLRP3 inflammasome activation on the proliferation, migration and extracellular matrix deposition of pancreatic stellate cells
Haitao GU ; Hanguang DONG ; Jiuliang YAN ; Zihao QI ; Beiyuan HU ; Chuntao WU ; Jiang LONG
Chinese Journal of Pancreatology 2023;23(2):108-113
Objective:To investigate the effects of NOD-like receptor protein 3(NLRP3) inflammasome activation on the proliferation, migration and extracellular matrix desposition of activated pancreatic stellate cells(PSCs).Methods:The rat PSCs were isolated, cultured and identified, and were divided into control group or LPS group based on the pretreatment with LPS (10 μg/ml for 24 hours) or without. The expression of NLRP3 inflammasome associated molecules in PSCs culture medium was detected by ELISA. The PSCs with NLRP3 inhibition were constructed by shRNA carrying lentivirus infection and were divided into LPS+ negative control group and LPS+ lentivirus group based on whether the cells were treated with LPS and infected by lentivirus or not. The alteration in cell proliferation and migration were detected by CCK-8 kit and transwell chamber method. The expression of extracellular matrix α-SMA and collagen in PSCs was detected by immunofluorescence staining and the expression of TGF-β mRNA was analyzed by RT-qPCR.Results:The cytoplasm of PSCs which were cultured for 24 hours was rich in bright annular lipid droplets, and the cells expressed desmin. After 7 days of culture, the cell became larger in size, the lipid droplets basically disappeared, and the cells were activated and expressed α-SMA. The expression of caspase-1, IL-1β and IL-18 in the supernatant of PSCs culture medium in LPS group were significantly higher than those in control group (1.55±0.04 vs 0.65±0.03), (2.02±0.04 vs 1.05±0.05) and (1.70±0.05 vs 0.97±0.03), respectively. After inhibiting by lentivirus infection, the expression of NLRP3 in the lentivirus group (0.25±0.04) was significantly lower than that in negative control group (0.68±0.05). In control group, LPS group, LPS+ negative control group and LPS+ lentivirus group, the A490 values was 0.61±0.02, 1.15±0.06, 0.96±0.05, and 0.56±0.01, respectively; the migrating PSCs number was (64.12±4.58), (121.67±8.02), (111.67±4.67) and (69.67±8.08)/HF, respectively; the relative expression of α-SMA was 0.78±0.05, 4.12±0.04, 3.81±0.06 and 0.88±0.05, respectively; the relative expression of collagen was 0.65±0.03, 3.43±0.02, 2.67±0.02 and 0.48±0.03, respectively; and the expression of TGF-β mRNA was 0.22±0.03, 0.89±0.01, 0.86±0.03 and 0.43±0.02, respectively. The A490 value, the migrating cells number, the expression of α-SMA, collagen and the expression of TGF-β mRNA in LPS group and LPS+ negative control group was significantly higher than those in control group and LPS+ lentivirus group, and all the differences were statistically significant (all P value <0.05). Conclusions:NLRP3 inflammasome activation may accelerate the extracellular matrix deposition and pancreatic fibrogenesis by promoting PSCs proliferation and migration ability via regulating the biological functions.
6.Exploration and practice of "combination of general practice with specialties" model in community health service institutions
Yunfeng YANG ; Liping XU ; Wenqin GU ; Chuntao YI
Chinese Journal of General Practitioners 2018;17(9):679-682
Community health service is an important part of the health system reform in the new period in China,the community health service institutions play important roles in promoting the health reform and the development ofthe national medical and health service.Shanghai Fenglin Subdistrict Community Health Service Center has integrated general practice with specialist care for the patients in community health service,this article summarizes the exploration and practice of the "combination of general practice with specialties" model in the community health service in order to provide reference for relevant medical institutions.
7.Application value of CT and MRI radiomics based on machine-learning method in diagnosing pancreatic cancer
Qingguo WANG ; Jiang LONG ; Wei TANG ; Tao CHEN ; Chuntao WU ; Haitao GU ; Zihao QI ; Jiuliang YAN ; Beiyuan HU ; Yan ZHENG ; Hanguang DONG
Chinese Journal of Pancreatology 2023;23(2):128-133
Objective:To investigate the application value of CT and MRI imageomics based on machine learning method in the diagnosis of pancreatic cancer.Methods:The clinical data of 62 patients with surgically resected and pathologically confirmed pancreatic cancer, who underwent enhanced CT scan, MRI plain or enhanced scan in Shanghai General Hospital between January 2014 and December 2021 were collected. According to the chronological order of surgery, 49 patients from January 2014 to December 2020 were enrolled in the training set and 13 patients from January 2021 to December 2021 were enrolled in the validation set. 3D-slicer 4.8.1 software was used to draw the region of interest in each layer of CT and MRI images for cancerous and paracancerous tissue segment. Image features were extracted by Python and the optimal feature set from the training set data was obtained by using Lasso regression model. The machine learning decision tree model was constructed. The receiver operating characteristic curve(ROC) curve was drawn, and the area under the curve (AUC) was calculated to evaluate the value of these three kinds of imageomics models in the diagnosis of pancreatic cancer.Results:The 1 767 CT features and 1 674 MRI features were obtained from enhanced CT scan, MRI plain scan and enhanced MRI scan, respectively. For the differential diagnosis model of cancerous tissue and paracancerous tissue, the enhanced CT scan data model obtained the optimal feature set involving 6 features, the MRI plain scan model obtained the optimal feature set involving 16 features, and the enhanced MRI scan model obtained the optimal feature set involving 15 features. The diagnostic model based on enhanced CT scan had an AUC of 0.98 in the training set and 1 in the verification group. The AUC of the MRI plain scan and enhanced MRI scan models in both the training set and the validation set was 1. The specificity and sensitivity of machine learning decision tree model based on the three kinds of imageomics models in the diagnosis of cancerous tissue and paracancerous tissue were 100%. For the differential diagnosis model of splenic artery wrapping, the enhanced CT scan model didn′t obtain the optimal features and had no diagnostic efficacy. The MRI plain scan model and enhanced MRI scan model obtained the optimal feature set involving 5 and 4 features, respectively. The AUC of the MRI plain scan model in the training set and the validation set were 0.862 and 0.750, respectively, with diagnostic sensitivity of 93.8% and 50.0%, and specificity of 78.6% and 100%, respectively. The AUC of the enhanced MRI scan model in the training set and the validation set were 0.950 and 0.861, respectively, with diagnostic sensitivity of 90.0% and 93.6%, and specificity of 100% and 78.6%, respectively.Conclusions:Based on the radiomics of CT enhanced, MRI plain scan and enhanced MRI scan, the machine learning diagnostic model has an accuracy of more than 90% in differentiating pancreatic cancer from paracancerous tissue. For the differentiation of splenic artery wrapping in pancreatic cancer, the diagnostic model based on enhanced MRI scan haS the best diagnostic efficiency.
8. Implementation of centralized quarantine for close contacts in a community of Shanghai during COVID-19 epidemic
Yunfeng YANG ; Ting LI ; Wenqin GU ; Yan WANG ; Chuntao YI
Chinese Journal of General Practitioners 2020;19(0):E012-E012
Since the key point of prevention and control of new coronavirus infection (COVID-19) in the community is to block the spread, the centralized quarantine for close contacts with confirmed or suspected cases is the most effective way in breaking the chain of transmission. A community centralized quarantine site was set up by Fenglin Community Health Service Center for medical observation of close contacts. The detailed plan and management of the centralized quarantine site, and the implementation experiences are introduced in this article to provide reference for medical institutions involved in the prevention and control of COVID-19 epidemic.