1.Preliminary study of the transport and absorption mechanism of Astragalus polysaccharide-Ⅱ on M cells
Wan-wan LÜ ; Ke LI ; Shi-hong FENG ; Yu-wei WEN ; Xue-mei QIN ; Yu-guang DU ; Zhen-yu LI
Acta Pharmaceutica Sinica 2024;59(10):2820-2827
To explore the absorption mechanism of APS-Ⅱ
2.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
3.Effect of the rolC gene on biosynthesis of tropane alkaloids in Atropa belladonna
Xing-xing LU ; Ai-juan TAN ; Hao ZHOU ; Wen-wen AO ; Shi-ming LÜ ; Jian-min MAN ; Ming-sheng ZHANG ; Wei QIANG
Acta Pharmaceutica Sinica 2022;57(2):533-540
Hair roots induced by
4.Mechanism of rhein inhibition of colorectal cancer through arginine metabolism based on protein chip
Zhi-hua WANG ; Wen-chang ZHANG ; Jie-yi HUANG ; Jian-chi LUN ; Yi-qing DING ; Wei-jie LÜ ; Xiao-long XU ; Shi-ning GUO
Acta Pharmaceutica Sinica 2022;57(8):2378-2387
Rhein is an anthraquinone compound extracted from rhubarb, aloe vera, Polygonum multiflorum. In this study, we screened the potential targets of rhein through protein chip technology and investigated the underlying mechanism of its inhibition of colorectal cancer. Colony formation assay and scratch assay were used to examine the effect of rhein on the proliferation and migration abilities of HCT116 cell; KEGG and protein interaction analyses of rhein specific binding proteins by screening rhein binding proteins using protein chip; qRT-PCR and Western blot assays were used to determine the effect of rhein on the expression levels of BCL-2-associated X protein (BAX), B-cell lymphoma-2 (BCL-2) and argininosuccinate synthetase 1 (ASS1) in HCT116 cell. The antitumor effect of rhein was verified by azoxymethane combined with dextran sodium sulfate (AOM/DSS) induced colorectal cancer model. Experimental animal procedures were performed in accordance with animal welfare and the standards of the Laboratory Animal Ethics Committee of South China Agricultural University, with approval from the ethics committee.
5.Prediction of trends for fine-scale spread of Oncomelania hupensis in Shanghai Municipality based on supervised machine learning models.
Yan Feng GONG ; Zhuo Wei LUO ; Jia Xin FENG ; Jing Bo XUE ; Zhao Yu GUO ; Yan Jun JIN ; Qing YU ; Shang XIA ; Shan LÜ ; Jing XU ; Shi Zhu LI
Chinese Journal of Schistosomiasis Control 2022;34(3):241-251
OBJECTIVE:
To predict the trends for fine-scale spread of Oncomelania hupensis based on supervised machine learning models in Shanghai Municipality, so as to provide insights into precision O. hupensis snail control.
METHODS:
Based on 2016 O. hupensis snail survey data in Shanghai Municipality and climatic, geographical, vegetation and socioeconomic data relating to O. hupensis snail distribution, seven supervised machine learning models were created to predict the risk of snail spread in Shanghai, including decision tree, random forest, generalized boosted model, support vector machine, naive Bayes, k-nearest neighbor and C5.0. The performance of seven models for predicting snail spread was evaluated with the area under the receiver operating characteristic curve (AUC), F1-score and accuracy, and optimal models were selected to identify the environmental variables affecting snail spread and predict the areas at risk of snail spread in Shanghai Municipality.
RESULTS:
Seven supervised machine learning models were successfully created to predict the risk of snail spread in Shanghai Municipality, and random forest (AUC = 0.901, F1-score = 0.840, ACC = 0.797) and generalized boosted model (AUC= 0.889, F1-score = 0.869, ACC = 0.835) showed higher predictive performance than other models. Random forest analysis showed that the three most important climatic variables contributing to snail spread in Shanghai included aridity (11.87%), ≥ 0 °C annual accumulated temperature (10.19%), moisture index (10.18%) and average annual precipitation (9.86%), the two most important vegetation variables included the vegetation index of the first quarter (8.30%) and vegetation index of the second quarter (7.69%). Snails were more likely to spread at aridity of < 0.87, ≥ 0 °C annual accumulated temperature of 5 550 to 5 675 °C, moisture index of > 39% and average annual precipitation of > 1 180 mm, and with the vegetation index of the first quarter of > 0.4 and the vegetation index of the first quarter of > 0.6. According to the water resource developments and township administrative maps, the areas at risk of snail spread were mainly predicted in 10 townships/subdistricts, covering the Xipian, Dongpian and Tainan sections of southern Shanghai.
CONCLUSIONS
Supervised machine learning models are effective to predict the risk of fine-scale O. hupensis snail spread and identify the environmental determinants relating to snail spread. The areas at risk of O. hupensis snail spread are mainly located in southwestern Songjiang District, northwestern Jinshan District and southeastern Qingpu District of Shanghai Municipality.
Animals
;
Bayes Theorem
;
China/epidemiology*
;
Ecosystem
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Gastropoda
;
Supervised Machine Learning
6.The criteria and exploration of the neurosurgical base for standardized residency training
Shijuan SHI ; Wei YANG ; Mi TIAN ; Lin YANG ; Feiyan WENG ; Xia CAO ; Shiyong LIU ; Chunqing ZHANG ; Song LI ; Ping ZHAO ; Shengqing LÜ
Chinese Journal of Medical Education Research 2022;21(9):1211-1215
Here, we took base construction of neurosurgery as example to discuss and analyze according to requirements and evaluation indexes of base construction in Xinqiao Hospital, and put forward the specific objectives, measures and implementations of base construction. Foremost, we summarized experiences and overcame shortcomings through interpreting and implementing scheme of our base construction, which would help to improve the construction of standardized residency training base in China.
7.Key points and research priorities of schistosomiasis control in China during the 14th Five-Year Plan Period
Jing XU ; Wei HU ; Kun YANG ; Shan LÜ ; Shi-Zhu LI ; Xiao-Nong ZHOU
Chinese Journal of Schistosomiasis Control 2021;33(1):1-6
Schistosomiasis was once endemic in 12 provinces (municipalities, autonomous regions) along and south of the Yangtze River basin, which seriously damages human health and hinders socioeconomic developments in China. Following the concerted efforts for 70 years, remarkable achievements have been gained in the national schistosomiasis control program of China. However, there are still multiple challenges for elimination of schistosomiasis in the country. This paper describes the current status of schistosomiasis and the challenges during the progress towards the elimination of schistosomiasis, and proposes the goals, key points and research priorities of schistosomiasis control in China during the 14th Five-Year Plan Period.
8.Survey of Oncomelania hupensis in national schistosomiasis surveillance sites of Guangxi Zhuang Autonomous Region from 2015 to 2019
Wen-Qian TANG ; Keng-Ling HUANG ; Yun-Liang SHI ; Guo-Li LÜ ; Wei-Wei ZHANG ; Shan LÜ ; Jian LIU ; Wen-Jie HUANG ; Zhi-Hua JIANG
Chinese Journal of Schistosomiasis Control 2021;33(2):205-208
Objective To investigate the distribution characteristics of Oncomelania hupensis in Guangxi Zhuang Autonomous Region, so as to provide insights into the assessment of the risk of schistosomiasis transmission and the scientific formulation of the schistosomiasis surveillance strategy. Methods From 2015 to 2019, a total of 19 national schistosomiasis surveillance sites were assigned in Guangxi Zhuang Autonomous Region, including 4 fixed sites and 15 mobile sites. Snail survey was performed by means of systematic sampling in combination with environmental sampling, and the infection of Schistosoma japonicum was detected by the crushing method combined with loop-mediated isothermal amplification (LAMP) assay. Results From 2015 to 2019, snail habitats were detected at areas of 17 040 to 39 527 m2, including 6 214 m2 emerging snail habitats and 16 563 m2 re-emerging snail habitats. The overall mean density of living snails was 0.019 2 snails/0.1 m2 and the occurrence of frames with snails was 1.11% in the national schistosomiasis surveillance sites; however, no S. japonicum infection was identified in snails. The area of snail habitats increased by 121.46% in the national surveillance sites in 2019 as compared to that in 2015; however, 50.34% (Z = −0.422, P > 0.05) and 42.85% (χ2 = 130.41, P < 0.01) reductions were seen in the overall means density of living snails and the occurrence of frames with snails. All snail habitats were distributed in the 4 fixed surveillance sites, and were mainly found in ditches, paddy fields and dry lands, with weeds as the primary vegetation type. Conclusions There are still risk factors leading to re-emergent transmission of schistosomiasis in Guangxi Zhuang Autonomous Region, such as local snail spread, and the monitoring of schistosomiasis remains to be reinforced to further consolidate the achievements of schistosomiasis elimination in the region.
9.Early therapeutic interventions of traditional Chinese medicine in COVID-19 patients: A retrospective cohort study.
Miao-Yan SHI ; Shi-Qi SUN ; Wei ZHANG ; Xing ZHANG ; Gui-Hua XU ; Xuan CHEN ; Zi-Jian SU ; Xiu-Ming SONG ; Lu-Jiong LIU ; Yi-Bao ZHANG ; Yi-le ZHANG ; Meng SUN ; Qi CHEN ; Yan XUE ; Hua LÜ ; Wei-An YUAN ; Xiao-Rong CHEN ; Yun-Fei LU
Journal of Integrative Medicine 2021;19(3):226-231
OBJECTIVE:
To observe the early interventions of traditional Chinese Medicine (TCM) on the conversion time of nucleic acid in patients with coronavirus disease 2019 (COVID-19), and find possible underlying mechanisms of action.
METHODS:
A retrospective cohort study was conducted on 300 confirmed COVID-19 patients who were treated with TCM, at a designated hospital in China. The patients were categorized into three groups: TCM1, TCM2 and TCM3, who respectively received TCM interventions within 7, 8-14, and greater than 15 days of hospitalization. Different indicators such as the conversion time of pharyngeal swab nucleic acid, the conversion time of fecal nucleic acid, length of hospital stay, and inflammatory markers (leukocyte count, and lymphocyte count and percentage) were analyzed to observe the impact of early TCM interventions on these groups.
RESULTS:
The median conversion times of pharyngeal swab nucleic acid in the three groups were 5.5, 7 and 16 d (P < 0.001), with TCM1 and TCM2 being statistically different from TCM3 (P < 0.01). TCM1 (P < 0.05) and TCM3 (P < 0.01) were statistically different from TCM2. The median conversion times of fecal nucleic acid in the three groups were 7, 9 and 17 d (P < 0.001). Conversion times of fecal nucleic acid in TCM1 were statistically different from TCM3 and TCM2 (P < 0.01). The median lengths of hospital stay in the three groups were 13, 16 and 21 d (P < 0.001). TCM1 and TCM2 were statistically different from TCM3 (P < 0.01); TCM1 and TCM3 were statistically different from TCM2 (P < 0.01). Both leucocyte and lymphocyte counts increased gradually with an increase in the length of hospital stay in TCM1 group patients, with a statistically significant difference observed at each time point in the group (P < 0.001). Statistically significant differences in lymphocyte count and percentage in TCM2 (P < 0.001), and in leucocyte count (P = 0.043) and lymphocyte count (P = 0.038) in TCM3 were observed. The comparison among the three groups showed a statistically significant difference in lymphocyte percentage on the third day of admission (P = 0.044).
CONCLUSION
In this study, it was observed that in COVID-19 patients treated with a combination of Chinese and Western medicines, TCM intervention earlier in the hospital stay correlated with faster conversion time of pharyngeal swab and fecal nucleic acid, as well as shorter length of hospital stay, thus helping promote faster recovery of the patient. The underlying mechanism of action may be related to improving inflammation in patients with COVID-19.
Adult
;
Aged
;
COVID-19/drug therapy*
;
Female
;
Humans
;
Length of Stay
;
Male
;
Medicine, Chinese Traditional
;
Middle Aged
;
Retrospective Studies
;
SARS-CoV-2
10.Effects of Proprioceptive Neuromuscular Facilitation on Balance, Motor and Activities of Daily Living for Stroke Patients: A Meta-analysis
Hui GUO ; Jian-qiao WANG ; Guo-dong SU ; Hua-wei WANG ; Hua FAN ; Xiang-de FAN ; Shi-lin ZHANG ; Yang LIU ; Yue WANG ; Xue-qin LÜ ; Hui-lin LIU
Chinese Journal of Rehabilitation Theory and Practice 2021;27(5):530-541
Objective:To analyze the effects of proprioceptive neuromuscular facilitation (PNF) on balance, motor and activities of daily living (ADL) for stroke patients. Methods:The randomized controlled trials about the effects of PNF on motor, balance and ADL in stroke patients were retrieved from PubMed, Embase, CNKI, Wanfang data, and VIP, since establishment to December, 2019. The primary outcome measures were Berg Balance Scale (BBS), Fugl-Meyer Assessment (FMA) and modified Bathel Index (MBI). The secondary outcome measures were Functional Reach Test (FRT), Trunk Impairment Scale (TIS), and Timed 'Up and Go' Test (TUGT). The literatures were independently screened by two investigators, and the quality of the articles was evaluated using the Cochrane Library systematic review criteria, and meta-analysis was performed using RevMan 5.3. Results:A total of 13 articles were included with 786 stroke patients. PNF increased the score of BBS for sequelae patients (MD = 3.31, 95%CI 2.58 to 4.04,

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