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.Detection of Carbamazepine and Its Metabolites in Blood Samples by LC-MS/MS.
Hai-Yan CUI ; Chen-Xi LÜ ; Yan-Hua SHI ; Ni YUAN ; Jia-Hao LIANG ; Quan AN ; Zhong-Yuan GUO ; Ke-Ming YUN
Journal of Forensic Medicine 2023;39(1):34-39
OBJECTIVES:
To establish a method for the detection of carbamazepine and its metabolites 10,11-dihydro-10,11-epoxycarbamazepine and 10,11-dihydro-10-hydroxycarbamazepine in blood samples by liquid chromatography-tandem mass spectrometry (LC-MS/MS).
METHODS:
The blood samples were treated with 1-butyl-3-methylimidazolium hexafluorophosphate as an extraction solvent. The samples were extracted by ultrasound-assisted extraction and separated by ZORBAX Eclipse Plus C18, 95Å column. The mobile phase A aqueous solution containing 0.1% formic acid and 10 mmol/L ammonium acetate, and mobile phase B mixed organic solvent containing acetonitrile/methanol (Vacetonitrile∶Vmethanol=2∶3) were used for gradient elution at the flow rate of 1.00 mL/min. An electrospray ion source in positive mode was used for detection in the multiple reaction monitoring.
RESULTS:
The linearities of carbamazepine and its metabolites 10,11-dihydro-10,11-epoxycarbamazepine and 10,11-dihydro-10-hydroxycarbamazepine in blood samples were good within the corresponding range, with correlation coefficients (r) greater than 0.995 6. The limits of detection were 3.00, 0.40 and 1.30 ng/mL, respectively. The limit of quantitation were 8.00, 1.00 and 5.00 ng/mL, respectively. The extraction recoveries ranged from 76.00% to 106.44%. The relative standard deviations of the intra-day and inter-day precisions were less than 16%. Carbamazepine and its main metabolite 10,11-dihydro-10,11-epoxycarbamazepine were detected in blood samples of death cases with a mass concentration of 2.71 μg/mL and 252.14 ng/mL, respectively.
CONCLUSIONS
This method has high sensitivity and good selectivity, which is suitable for the detection of carbamazepine and its metabolites in blood samples, and can be used for carbamazepine-related forensic identifications.
Chromatography, Liquid/methods*
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Tandem Mass Spectrometry
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Methanol
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Carbamazepine/analysis*
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Benzodiazepines/analysis*
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Solvents
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Chromatography, High Pressure Liquid
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Solid Phase Extraction
3.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.
4.Analysis of the new WHO guideline to accelerate the progress towards elimination of schistosomiasis in China.
Zhao Yu GUO ; Jia Xin FENG ; Li Juan ZHANG ; Yi Biao ZHOU ; Jie ZHOU ; Kun YANG ; Yang LIU ; Dan Dan LIN ; Jian Bing LIU ; Yi DONG ; Tian Ping WANG ; Li Yong WEN ; Min Jun JI ; Zhong Dao WU ; Qing Wu JIANG ; Song LIANG ; Jia Gang GUO ; Chun Li CAO ; Jing XU ; Shan LÜ ; Shi Zhu LI ; Xiao Nong ZHOU
Chinese Journal of Schistosomiasis Control 2022;34(3):217-222
On February 2022, WHO released the evidence-based guideline on control and elimination of human schistosomiasis, with aims to guide the elimination of schistosomiasis as a public health problem in disease-endemic countries by 2030 and promote the interruption of schistosomiasis transmission across the world. Based on the One Health concept, six evidence-based recommendations were proposed in this guideline. This article aims to analyze the feasibility of key aspects of this guideline in Chinese national schistosomiasis control program and illustrate the significance to guide the future actions for Chinese national schistosomiasis control program. Currently, the One Health concept has been embodied in the Chinese national schistosomiasis control program. Based on this new WHO guideline, the following recommendations are proposed for the national schistosomiasis control program of China: (1) improving the systematic framework building, facilitating the agreement of the cross-sectoral consensus, and building a high-level leadership group; (2) optimizing the current human and livestock treatments in the national schistosomiasis control program of China; (3) developing highly sensitive and specific diagnostics and the framework for verifying elimination of schistosomiasis; (4) accelerating the progress towards elimination of schistosomiasis and other parasitic diseases through integrating the national control programs for other parasitic diseases.
China/epidemiology*
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Disease Eradication
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Humans
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Public Health
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Schistosomiasis/prevention & control*
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World Health Organization
5.Contribution to global implementation of WHO guideline on control and elimination of human schistosomiasis by learning successful experiences from the national schistosomiasis control program in China.
Xin Yao WANG ; Jian Feng ZHANG ; Jia Gang GUO ; Shan LÜ ; Min Jun JI ; Zhong Dao WU ; Yi Biao ZHOU ; Qing Wu JIANG ; Jie ZHOU ; Jian Bing LIU ; Dan Dan LIN ; Tian Ping WANG ; Yi DONG ; Yang LIU ; Shi Zhu LI ; Kun YANG
Chinese Journal of Schistosomiasis Control 2022;34(3):230-234
Schistosomiasis is a parasitic disease that seriously hinders socioeconomic developments and threatens public health security. To achieve the global elimination of schistosomiasis as a public health problem by 2030, WHO released the guideline on control and elimination of human schistosomiasis on February, 2022, with aims to provide evidence-based recommendations for schistosomiasis morbidity control, elimination of schistosomiasis as a public health problem, and ultimate interruption of schistosomiasis transmission in disease-endemic countries. Following concerted efforts for decades, great achievements have been obtained for schistosomiasis control in China where the disease was historically highly prevalent, and the country is moving towards schistosomiasis elimination. This article reviews the successful experiences from the national schistosmiasis control program in China, and summarizes their contributions to the formulation and implementation of the WHO guideline on control and elimination of human schistosomiasis. With the progress of the "Belt and Road" initiative, the world is looking forward to more China's solutions on schistosomiasis control.
China/epidemiology*
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Disease Eradication
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Humans
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Public Health
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Schistosomiasis/prevention & control*
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World Health Organization
6.Sharing the WHO guideline on control and elimination of human schistosomiasis to achieve the goal of schistosomiasis elimination in China.
Tian Ping WANG ; Shan LÜ ; Zhi Qiang QIN ; Yi Biao ZHOU ; Yang LIU ; Li Yong WEN ; Jia Gang GUO ; Jing XU ; Shi Zhu LI ; Guang Ming ZHANG ; Shi Qing ZHANG
Chinese Journal of Schistosomiasis Control 2022;34(3):235-240
Currently, the national schistosomiasis control program of China is moving from transmission interruption to elimination, and there are multiple challenges during the stage moving towards the progression of schistosomiasis elimination, including a high difficulty in shrinking snail-infested areas, unstable achievements for infectious source control, imperfect surveillance system and a reduction in schistosomiasis control and administration. Based on the core suggestions proposed in the 2022 WHO guideline on control and elimination of human schistosomiasis, recommendations on schistosomiasis surveillance system building, development of novel diagnostics, adjustment of the schistosomiasis control strategy and maintaining and improvements of the schistosomiasis control capability are proposed for the national schistosomiasis control program of China in the new era according to the actual status of schistosomiasis control in China. Formulation of the national schistosomiasis control strategy and goal from One Health perspective, verification of transmission interruption and elimination of schistosomiasis, precision implementation of schistosomiasis control interventions with adaptations to local circumstances, development and application of highly sensitive and specific diagnostics are recommended for elimination of schistosomiasis in China. In addition, the implementation of the 2022 WHO guideline on control and elimination of human schistosomiasis may guide the elimination of schistosomiasis in China.
Animals
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China/epidemiology*
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Goals
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Humans
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Schistosomiasis/prevention & control*
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Snails
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World Health Organization
7.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
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Bayes Theorem
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China/epidemiology*
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Ecosystem
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Gastropoda
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Supervised Machine Learning
8.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,
9.Expert consensus on the strategy and measures to interrupt the transmission of schistosomiasis in China
Shan LÜ ; Chao LÜ ; Yin-Long LI ; Jing XU ; Qing-Biao HONG ; Jie ZHOU ; Jian-Feng ZHANG ; Li-Yong WEN ; Jian-Feng ZHANG ; Shing-Qing ZHANG ; Dan-Dan LIN ; Jian-Bing LIU ; Guang-Hui REN ; Yi DONG ; Yang LIU ; Kun YANG ; Zhi-Hua JIANG ; Zhuo-Hui DENG ; Yan-Jun JIN ; Han-Guo XIE ; Yi-Biao ZHOU ; Tian-Ping WANG ; Yi-Wen LIU ; Hong-Qing ZHU ; Chun-Li CAO ; Shi-Zhu LI ; Xiao-Nong ZHOU
Chinese Journal of Schistosomiasis Control 2021;33(1):10-14
Since 2015 when the transmission of schistosomiasis was controlled in China, the country has been moving towards elimination of schistosomiasis, with the surveillance-response as the main interventions for schistosomiasis control. During the period of the 13th Five-Year Plan, the transmission of schistosomiasis had been interrupted in four provinces of Sichuan, Jiangsu, Yunnan and Hubei and the prevalence of schistosomiasis has been at the historically lowest level in China. As a consequence, the goal set in The 13th Five-Year National Schistosomiasis Control Program in China is almost achieved. However, there are multiple challenges during the stage moving towards elimination of schistosomiasis in China, including the widespread distribution of intermediate host snails and complicated snail habitats, many types of sources of Schistosoma japonicum infections and difficulty in management of bovines and sheep, unmet requirements for the current schistosomiasis control program with the currently available tools, and vulnerable control achievements. During the 14th Five-Year period, it is crucial to consolidate the schistosomiasis control achievements and gradually solve the above difficulties, and critical to provide the basis for achieving the ultimate goal of elimination of schistosomiasis in China. Based on the past experiences from the national schistosomiasis control program and the challenges for schistosomiasis elimination in China, an expert consensus has been reached pertaining to the objectives, control strategy and measures for The 14th Five-Year National Schistosomiasis Control Program in China, so as to provide insights in to the development of The 14th Five-Year National Schistosomiasis Control Program in China.
10.National surveillance of schistosomiasis morbidity in China, 2015—2019
Hui DANG ; Yin-Long LI ; Jing-Yi GUO ; Jing XU ; Shi-Zhu LI ; Shan LÜ
Chinese Journal of Schistosomiasis Control 2021;33(2):120-126
Objective To understand the morbidity due to Schistosoma japonicum in national schistosomiasis surveillance sites of China from 2015 to 2019, so as to provide insights into schistosomiasis control and elimination and provide the scientific evidence for formulating the new scheme for schistosomiasis surveillance in China. Methods According to the requirements of National Scheme for Schistosomiasis Surveillance in China (2014 Edition), national schistosomiasis surveillance sites were assigned in all schistosomiasis-endemic counties (cities, districts) and the potential endemic counties (cities, districts) in the Three Gorges Reservoir areas, and S. japonicum infections were monitored in local residents, mobile populations and livestock according to different epidemic types. The sero-prevalence of S. japonicum infections, adjusted prevalence of human S. japonicum infections, characteristics of egg-positive individuals and prevalence of S. japonicum infections livestock were analyzed. Results S. japonicum infections were monitored in 453 schistosomiasis-endemic counties (cities, districts) from 13 provinces (municipalities, autonomous regions) and 4 potential endemic counties (cities, districts) from the Three Gorges Reservoir areas in China from 2015 to 2019. During the 5-year period from 2015 to 2019, the sero-prevalence of S. japonicum infections reduced from 3.35% to 1.63% among local residents and from 1.15% to 0.75% among mobile populations, while the adjusted prevalence of infections reduced from 0.05% to 0 among local residents and from 0.20% to 0.001 03% among mobile populations. There were significant differences in the sero-prevalence of S. japonicum infections among local residents and mobile populations in terms of province, occupation and age (all P values < 0.05). A total of 132 egg-positives were identified during the 5-year period, including 97 local residents (inter-quartile range for ages, 47 to 61 years), and 35 mobile populations (inter-quartile range for ages, 26 to 48 years), and there was a significant difference in the age distribution between local residents and mobile populations (P < 0.05). There were totally 6 bovines (5 in 2015 and 1 in 2016) identified with S. japonicum infections in national schistosomiasis surveillance sites of China, with no S. japonicum infections detected in bovines from 2017 to 2019. Conclusions The prevalence of schistosomiasis is very low in China. Further surveillance including more mobile surveillance sites seems justified to identify the risk of schistosomiasis as soon as possible and interrupt the transmission route, so as to facilitate the elimination of schistosomiasis in China.

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