1.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.
		                        		
		                        		
		                        		
		                        	
2.Correlation Analysis of Molecularly-Defined Cortical Interneuron Populations with Morpho-Electric Properties in Layer V of Mouse Neocortex.
Jun-Wei CAO ; Xiao-Yi MAO ; Liang ZHU ; Zhi-Shuo ZHOU ; Shao-Na JIANG ; Lin-Yun LIU ; Shu-Qing ZHANG ; Yinghui FU ; Wen-Dong XU ; Yong-Chun YU
Neuroscience Bulletin 2023;39(7):1069-1086
		                        		
		                        			
		                        			Cortical interneurons can be categorized into distinct populations based on multiple modalities, including molecular signatures and morpho-electrical (M/E) properties. Recently, many transcriptomic signatures based on single-cell RNA-seq have been identified in cortical interneurons. However, whether different interneuron populations defined by transcriptomic signature expressions correspond to distinct M/E subtypes is still unknown. Here, we applied the Patch-PCR approach to simultaneously obtain the M/E properties and messenger RNA (mRNA) expression of >600 interneurons in layer V of the mouse somatosensory cortex (S1). Subsequently, we identified 11 M/E subtypes, 9 neurochemical cell populations (NCs), and 20 transcriptomic cell populations (TCs) in this cortical lamina. Further analysis revealed that cells in many NCs and TCs comprised several M/E types and were difficult to clearly distinguish morpho-electrically. A similar analysis of layer V interneurons of mouse primary visual cortex (V1) and motor cortex (M1) gave results largely comparable to S1. Comparison between S1, V1, and M1 suggested that, compared to V1, S1 interneurons were morpho-electrically more similar to M1. Our study reveals the presence of substantial M/E variations in cortical interneuron populations defined by molecular expression.
		                        		
		                        		
		                        		
		                        			Mice
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		                        			Animals
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		                        			Neocortex/physiology*
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		                        			Mice, Transgenic
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		                        			Interneurons/physiology*
		                        			
		                        		
		                        	
3.Development of an on-line and off-line blended teaching practice for Biochemistry Experiments.
Ying SHI ; Ji ZHANG ; Feng SHI ; Xiaoli ZHAO ; Hui JIANG ; Yinghui YING
Chinese Journal of Biotechnology 2023;39(3):1260-1268
		                        		
		                        			
		                        			On-line and off-line blended teaching is one of the directions for future experimental teaching mode reform in universities. Blended teaching is characterized by systematic course design, repeatable knowledge nodes, autonomous learning and frequent interaction between teachers and students. The on-line and off-line blended teaching course of Biochemistry Experiments in Zhejiang University includes massive open online course (MOOC), off-line comprehensive series of experiments and independent experiments design and practice. The blended teaching practice of this course expanded experimental teaching content, developed standardized preparation, process and assessment mechanism, and promoted shared application of the course.
		                        		
		                        		
		                        		
		                        			Humans
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		                        			Learning
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		                        			Students
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		                        			Curriculum
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		                        			Biochemistry
		                        			
		                        		
		                        	
4.Study on the construction of the perceived service quality evaluation index system for Internet hospitals
Yurong BAO ; Yue LOU ; Yinghui BAO ; Linlin JIANG ; Cheng CHEN
Chinese Journal of Hospital Administration 2022;38(4):285-289
		                        		
		                        			
		                        			Objective:To construct an evaluation index system of perceived service quality for Internet hospitals, and to provide references for scientific evaluation and effective management of such hospitals′ service quality.Methods:Thanks to literature review and expert interviews, an index system was initially built based on the Brady and Cronin model.From August to November 2021, Delphi expert consultation method was used in three rounds of correspondence questionnaire survey, and experts were consulted to assess the importance, familiarity and judgment basis of these indexes. The importance of the indexes was expressed by ± s, and the weight value of each index was calculated using analytic hierarchy process fuzzy comprehensive evaluation method and SPSS Au software. Results:The evaluation index system of perceived service quality for such hospitals included 3 level-1 indexes, namely environmental quality, interaction quality and result quality; and 10 level-2 indexes, namely software platform, service support, social factors, attitude, behavior, professional quality, service effect, service efficiency, service cost, satisfaction; and 30 level-3 indexes. Among these indexes, result quality of level-1 indexes scored the highest weight value(0.337); Software platform, professional quality, service support and attitude of level-2 indexes scored a higher weight values, respectively 0.119, 0.119, 0.109 and 0.109. Of level-3 indexes, reputation of Internet hospitals, service attitude of their doctors and doctor-patient communication skills of doctors online scored a higher weight values, respectively 0.102, 0.057 and 0.055.Conclusions:The index system for Internet hospital perceived service quality evaluation built in this study proved scientific, contributing positively to guiding Internet hospitals to improve their quality and safety management.
		                        		
		                        		
		                        		
		                        	
5.Drug target inference by mining transcriptional data using a novel graph convolutional network framework.
Feisheng ZHONG ; Xiaolong WU ; Ruirui YANG ; Xutong LI ; Dingyan WANG ; Zunyun FU ; Xiaohong LIU ; XiaoZhe WAN ; Tianbiao YANG ; Zisheng FAN ; Yinghui ZHANG ; Xiaomin LUO ; Kaixian CHEN ; Sulin ZHANG ; Hualiang JIANG ; Mingyue ZHENG
Protein & Cell 2022;13(4):281-301
		                        		
		                        			
		                        			A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology. Here, we propose a novel Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles. Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets, and the biological networks under different experiment conditions further complicate the situation, the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles. On a benchmark set and a large time-split validation dataset, the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map. Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound, or reversely, in finding novel inhibitors of a given target of interest.
		                        		
		                        		
		                        		
		                        			Drug Delivery Systems
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		                        			Proteins
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		                        			Transcriptome
		                        			
		                        		
		                        	
6.Discovery of ARF1-targeting inhibitor demethylzeylasteral as a potential agent against breast cancer.
Jie CHANG ; Ruirui YANG ; Lifan CHEN ; Zisheng FAN ; Jingyi ZHOU ; Hao GUO ; Yinghui ZHANG ; Yadan LIU ; Guizhen ZHOU ; Keke ZHANG ; Kaixian CHEN ; Hualiang JIANG ; Mingyue ZHENG ; Sulin ZHANG
Acta Pharmaceutica Sinica B 2022;12(5):2619-2622
		                        		
		                        			
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7.Internet of things follow-up improves blood pressure management in patients with continuous ambulatory peritoneal dialysis
Aihua LI ; Lizhen DENG ; Aijun LAI ; Wanling ZHUO ; Xiushan DENG ; Yinghui DENG ; Mengjun LIANG ; Zongpei JIANG
Chinese Journal of Nephrology 2021;37(12):956-966
		                        		
		                        			
		                        			Objective:To explore the difference of blood pressure compliance rate in patients with continuous ambulatory peritoneal dialysis (CAPD) in the internet of things (IoT) follow-up and conventional care.Methods:CAPD patients from 3 peritoneal dialysis centers from May 2019 to October 2019 were included in this retrospective cohort study. They were divided into IoT group and conventional care group according to the way of follow-up. The difference in blood pressure compliance rate during 1 year of follow-up between the two groups was observed. The primary outcome was defined as the proportion of patients with blood pressure compliance rate≥85%.Results:A total of 75 patients were included in this study, in during 32 patients in IoT group and 43 patients in conventional care group. The comparison of baseline data between the two groups showed that the dialysis age of patients in IoT group was shorter ( P<0.01). After a median of 9(9, 12) months follow-up, the median blood pressure compliance rate was 85.2% (65.2%, 95.1%), and 25 patients (65.6%) in IoT group had met the target of blood pressure compliance rate≥85%, which was significantly higher than that in the conventional care group (17 cases, 39.5%) ( χ2=4.996, P=0.025). The cumulative probability of the target of blood pressure compliance rate≥85% was 97%, 90%, 90% and 52%, respectively in IoT group, while 95%, 86%, 55% and 34%, respectively in conventional care group after 3, 6, 9 and 12 months of follow-up, and the different between the two groups was significant (Log-rank χ2=4.774, P=0.029). Adjusted for age, sex and dialysis age, the multivariate Cox proportional risk regression model showed that serum creatinine level(for every 1 μmol/L increase, HR=1.002, 95% CI 1.000-1.003, P=0.033), follow-up mode (IoT follow-up vs conventional care, HR=0.023, 95% CI 0.003-0.210, P=0.001), follow-up times (for each additional time, HR=0.879, 95% CI 0.823-0.939, P<0.001) and the rate of weight compliance (for each increase of 1%, HR=0.964, 95% CI 0.939-0.991, P=0.008) was the independent influencing factors for the blood pressure compliance rate<85%. The results of subgroup analysis showed that patients with shorter dialysis age (<10 months) and in the centers where the nurses finished the PD follow-up work as part-time job had better blood pressure control in IoT follow-up. Conclusions:IoT follow-up is helpful to improve CAPD patients' blood pressure compliance rate. Elevated serum creatinine level at baseline is the independent risk factor associated with poor blood pressure compliance. However, IoT follow-up, more follow-up times and the elevated rate of weight compliance are the protective factors for blood pressure compliance. IoT follow-up mode is more recommended for patients with short dialysis age and for dialysis centers where most of the nurses are part-time.
		                        		
		                        		
		                        		
		                        	
8.The relationship and optimization suggestions between medical treatment system and medical insurance system from the perspective of system theory, game theory and synergy theory
Yurong BAO ; Liping YING ; Sisi TANG ; Yinghui BAO ; Linlin JIANG ; Shijun ZHU
Chinese Journal of Hospital Administration 2021;37(8):627-630
		                        		
		                        			
		                        			The positive interaction between medical treatment system and medical insurance system is of great significance to promote the reform of medical and health care system. Due to the complexity of the relationship between them, it is difficult to explain it comprehensively with a single theoretical method. The authors analyzed the relationship between medical treatment system and medical insurance system by applying system theory, game theory and synergy theory, and then put forward policy suggestions to optimize the linkage reform of medical treatment system and medical insurance system, so as to better promote the reform of " three medical linkage" and promote the construction of healthy China. The suggestions included optimizing the allocation of health resources, accelerating the construction of medical insurance legislation and health technical evaluation system, strengthening the construction of multi-level medical insurance system, promoting the inter regional information interconnection between medical care and medical insurance, improving the coordination mechanism, negotiation mechanism, incentive and constraint mechanism between medical care and medical insurance.
		                        		
		                        		
		                        		
		                        	
9.The design conception and the procedure of building international traditional Chinese medicine clinical knowledge base
Wei JIANG ; Zongyou LI ; Jinghua LI ; Tong YU ; Fei LI ; Yuqi ZHANG ; Yinghui WANG
International Journal of Traditional Chinese Medicine 2020;42(8):719-723
		                        		
		                        			
		                        			The international TCM clinical knowledge database is demand-oriented, fully integrated TM resources of the Institute of Information on Traditional Chinese Medicine of China Academy of Chinese Medical Sciences that has accumulated for decades, with increased new resources. The resources are structured by subject indexing, classification and knowledge extraction, and are hierarchically translated by machine translation and manned proofreading. In addition, the research group also designs and develops service platform using ontology, semantic web, association relationship and other information technology. The knowledge database will provide knowledge service to TCM practitioners and the general public worldwide, and promote the internationalization of TCM.
		                        		
		                        		
		                        		
		                        	
10.Relationships between anhedonia, alexithymia and self-efficacy in college students
Yinghui LI ; Yong LI ; Wenhao JIANG ; Yonggui YUAN
Chinese Journal of Behavioral Medicine and Brain Science 2018;27(4):356-360
		                        		
		                        			
		                        			Objective To explore the relationship between anhedonia,alexithymia and self-efficacy in college students.Methods 260 college students were tested with Snaith-Hamilton Pleasure Scale (SHAPS),Temporal Experience of Pleasure Scale (TEPS),20-item Toronto Alexithymia Scale (TAS-20)and General Self-Efficacy Scale (GSES).Results (1) Males showed obviously higher level of SHAPS scores (24.91±5.14) and lower level of anticipatory pleasure of TEPS (TEPS-ANT) scores(31.81±5.79)than females (22.97±5.34 and 33.36±5.71,respectively).(2)Significant difference existed between the high-scoring,the middle-scoring and the low-scoring anhedonia group in TAS factor 1 (difficulty in identifying feelings) and GSES (F=3.11,5.30,P<0.05 or 0.01),the scores of TAS factor 1 (difficulty in identifying feelings) in high-scoring anhedonia group were higher than that in low-scoring anhedonia group (20.24±4.94 vs 18.10±5.07,P<0.01),and the scores of GSES in high-scoring anhedonia group were lower than that in low-scoring anhedonia group (24.97±6.72 vs 27.90±4.37,P<0.01).(3)The SHAPS scores were positively related to TAS factor 2 (difficulty in describing feelings) and factor 3 (externally oriented thinking) (r =0.18,0.27,both P<0.01),negatively related to GSES scores(r=-0.33,P<0.01).Both TEPS-ANT and consummatory pleasure of TEPS (TEPS-CON) were negatively related to TAS factor1 (difficulty in identifying feelings)scores (r=-0.22,P< 0.01;r =-0.15,P< 0.05),positively related to GSES scores (r =0.28,0.26,both P<0.01).(4)Layer multivariate linear regression analysis showed that the SHAPS scores were significant predictors of the general self-efficacy(β=-0.33,P<0.01).Conclusions The anhedonia in college students has a closely relationship with alexithymia and self-efficacy,college students with high anhedonia have high level of alexithymia and low level of self-efficacy.
		                        		
		                        		
		                        		
		                        	
            
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