1.Antimicrobial resistance surveillance in the bacterial strains isolated from pediatric intensive care units in China:results from 2020 to 2022
Jing LIU ; Huiyuan YAN ; Gangfeng YAN ; Guoping LU ; Pan FU ; Chuanqing WANG ; Danqun JIN ; Wenjia TONG ; Chenyu ZHANG ; Jianli CHEN ; Yi LIN ; Jia LEI ; Yibing CHENG ; Qunqun ZHANG ; Kaijie GAO ; Yuanyuan CHEN ; Shufang XIAO ; Juan HE ; Li JIANG ; Huimin XU ; Yuxia LI ; Hanghai DING ; Hehe CHEN ; Yao ZHENG ; Qunying CHEN ; Ying WANG ; Hong REN ; Chenmei ZHANG ; Zhenjie CHEN ; Mingming ZHOU ; Yucai ZHANG ; Yiping ZHOU ; Zhenjiang BAI ; Saihu HUANG ; Lili HUANG ; Weiguo YANG ; Weike MA ; Qing MENG ; Pengwei ZHU ; Yong LI ; Yan XU ; Yi WANG ; Yanqiang DU ; Huijun CAI ; Bizhen ZHU ; Huixuan SHI ; Shaoxian HONG ; Yukun HUANG ; Meilian HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):303-311
Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2%)and gram-negative organisms(60.8%).The top three organisms were S.aureus(13.6%,1 453/10 688),A.baumannii(10.0%,1 067/10 688),and coagulase-negative Staphylococcus(9.9%,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1%,19.4%,8.8%,30.9%,67.4%,and 28.8%,respectively.Overall,more than 50%of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25%of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80%of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3%in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.
2.Antimicrobial resistance surveillance in the bacterial strains isolated from pediatric intensive care units in China:results from 2020 to 2022
Jing LIU ; Huiyuan YAN ; Gangfeng YAN ; Guoping LU ; Pan FU ; Chuanqing WANG ; Danqun JIN ; Wenjia TONG ; Chenyu ZHANG ; Jianli CHEN ; Yi LIN ; Jia LEI ; Yibing CHENG ; Qunqun ZHANG ; Kaijie GAO ; Yuanyuan CHEN ; Shufang XIAO ; Juan HE ; Li JIANG ; Huimin XU ; Yuxia LI ; Hanghai DING ; Hehe CHEN ; Yao ZHENG ; Qunying CHEN ; Ying WANG ; Hong REN ; Chenmei ZHANG ; Zhenjie CHEN ; Mingming ZHOU ; Yucai ZHANG ; Yiping ZHOU ; Zhenjiang BAI ; Saihu HUANG ; Lili HUANG ; Weiguo YANG ; Weike MA ; Qing MENG ; Pengwei ZHU ; Yong LI ; Yan XU ; Yi WANG ; Yanqiang DU ; Huijun CAI ; Bizhen ZHU ; Huixuan SHI ; Shaoxian HONG ; Yukun HUANG ; Meilian HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):303-311
Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2%)and gram-negative organisms(60.8%).The top three organisms were S.aureus(13.6%,1 453/10 688),A.baumannii(10.0%,1 067/10 688),and coagulase-negative Staphylococcus(9.9%,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1%,19.4%,8.8%,30.9%,67.4%,and 28.8%,respectively.Overall,more than 50%of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25%of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80%of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3%in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.
3.Effect of laparoscopic radical resection based on membrane anatomy vs traditional laparoscopic procedure for the treatment of right colonic cancer
Huiyuan JIANG ; Qian ZHAO ; Sheng GAO ; Lichun WANG ; Jian MA ; Shuai JIAO ; Bo JIANG
Chinese Journal of General Surgery 2024;39(8):577-583
Objective:To compare the clinical efficacy of laparoscopic right colon cancer radical resection(CME+D3,60 cases) based on membrane anatomy and traditional laparoscopic right colon cancer radical resection(CME/D3, 120 cases).Methods:A retrospective cohort study was used to collect the consecutively admitted cases undergoing laparoscopic radical right colon cancer resection at the Department of Colorectal Surgery, Shanxi Hospital from Jan 2018 to Jun 2020.The postoperative data , postoperative complications, follow-up outcomes were compared between the two groups.Results:Compared with the CME/D3 group, that the based on membrane anatomy(CME+D3) group had a decreased intraoperative blood loss [(79.3±16.7) ml vs. (103.6±20.8) ml, t=-3.894, P<0.001],and more lymph node harvest [(27.0±5.1) vs. (25.1±6.2), t=2.138, P=0.034]; The sectional grading of surgical specimens was also better than that in the traditional operation group(χ 2=4.146, P=0.042); while the operation time was slightly longer than that of the traditional operation group [(161.1±18.4) minutes vs.(142.6±19.5) minutes, t=-6.166, P<0.001]. There was no significant difference in the length of specimen resection, postoperative exhaust time, hospital stay, incidence of postoperative complications, proportion of unplanned reoperation within 30 days, re-admission within 30 days, and mortality within 30 days ( all P>0.05). The median follow-up time was 36.7 (5.3-48.7) months, and there was no significant difference in overall survival rates between the two groups ( P>0.05); The difference in disease-free survival rates between the two groups is significant(χ 2=4.246, P=0.039). Conclusions:Compared with the traditional laparoscopic right colon cancer radical surgery (CME/D3),laparoscopic radical resection of right colon cancer (CME+D3) based on membrane anatomy reduces intraoperative bleeding, improves the number of lymph node dissection and specimen quality, and has higher 1-year and 3-year disease-free survival rate .
4.Role of pseudogenes in proliferation,invasion and metastasis of hepatoma cells
Wenjie GUO ; Fang LIU ; Na GAO ; Che CHEN ; Huiyuan CHU
Chinese Journal of Immunology 2024;40(4):894-896,封3-封4
Pseudogenes have long been regarded as fossilized,nonfunctional genomes that are evidence of human evolution.However,in recent years,pseudogenes have been found to play an important role in both physiological and pathological processes,especially in tumors,regulating occurrence and development of tumors in parental gene dependence and parental gene independence,including liver cancer.In this paper,we summarized research progress of pseudogenes and their roles in proliferation,apoptosis,inva-sion and metastasis of liver cancer cells,providing new ideas for treatment of liver cancer.
5.Advances in tumor cell cycle regulation
Wenjie GUO ; Fang LIU ; Na GAO ; Che CHEN ; Huiyuan CHU
Chinese Journal of Immunology 2024;40(6):1315-1319
The cell cycle is the series of events by which a cell divides into two daughter cells and is guided by a unique system of cell cycle regulation.The disorder of cell cycle regulation system is the fundamental cause of tumorigenesis.This paper will focus on the key regulatory points of cell cycle and discuss the research progress of tumor cell cycle regulation,so as to provide theore-tical basis for the development of new therapeutic strategies for tumors.
6.Multi-omics of Circular RNAs and Their Responses to Hormones in Moso Bamboo (Phyllostachys edulis).
Yongsheng WANG ; Huihui WANG ; Huiyuan WANG ; Ruifan ZHOU ; Ji WU ; Zekun ZHANG ; Yandong JIN ; Tao LI ; Markus V KOHNEN ; Xuqing LIU ; Wentao WEI ; Kai CHEN ; Yubang GAO ; Jiazhi DING ; Hangxiao ZHANG ; Bo LIU ; Chentao LIN ; Lianfeng GU
Genomics, Proteomics & Bioinformatics 2023;21(4):866-885
Circular RNAs (circRNAs) are endogenous non-coding RNAs with covalently closed structures, which have important functions in plants. However, their biogenesis, degradation, and function upon treatment with gibberellins (GAs) and auxins (1-naphthaleneacetic acid, NAA) remain unknown. Here, we systematically identified and characterized the expression patterns, evolutionary conservation, genomic features, and internal structures of circRNAs using RNase R-treated libraries from moso bamboo (Phyllostachys edulis) seedlings. Moreover, we investigated the biogenesis of circRNAs dependent on both cis- and trans-regulation. We explored the function of circRNAs, including their roles in regulating microRNA (miRNA)-related genes and modulating the alternative splicing of their linear counterparts. Importantly, we developed a customized degradome sequencing approach to detect miRNA-mediated cleavage of circRNAs. Finally, we presented a comprehensive view of the participation of circRNAs in the regulation of hormone metabolism upon treatment of bamboo seedlings with GA and NAA. Collectively, our study provides insights into the biogenesis, function, and miRNA-mediated degradation of circRNAs in moso bamboo.
RNA, Circular/metabolism*
;
Multiomics
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Poaceae/metabolism*
;
Seedlings/genetics*
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Hormones/metabolism*
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MicroRNAs/metabolism*
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Gene Expression Regulation, Plant
7.Application of machine learning model based on XGBoost algorithm in early prediction of patients with acute severe pancreatitis.
Xin GAO ; Jiaxi LIN ; Airong WU ; Huiyuan GU ; Xiaolin LIU ; Minyue YIN ; Zhirun ZHOU ; Rufa ZHANG ; Chunfang XU ; Jinzhou ZHU
Chinese Critical Care Medicine 2023;35(4):421-426
OBJECTIVE:
To establish a machine learning model based on extreme gradient boosting (XGBoost) algorithm for early prediction of severe acute pancreatitis (SAP), and explore its predictive efficiency.
METHODS:
A retrospective cohort study was conducted. The patients with acute pancreatitis (AP) who admitted to the First Affiliated Hospital of Soochow University, the Second Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University from January 1, 2020 to December 31, 2021 were enrolled. Demography information, etiology, past history, and clinical indicators and imaging data within 48 hours of admission were collected according to the medical record system and image system, and the modified CT severity index (MCTSI), Ranson score, bedside index for severity in acute pancreatitis (BISAP) and acute pancreatitis risk score (SABP) were calculated. The data sets of the First Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University were randomly divided into training set and validation set according to 8 : 2. Based on XGBoost algorithm, the SAP prediction model was constructed on the basis of hyperparameter adjustment by 5-fold cross validation and loss function. The data set of the Second Affiliated Hospital of Soochow University was served as independent test set. The predictive efficacy of the XGBoost model was evaluated by drawing the receiver operator characteristic curve (ROC curve), and compared it with the traditional AP related severity score; variable importance ranking diagram and Shapley additive explanation (SHAP) diagram were drawn to visually explain the model.
RESULTS:
A total of 1 183 AP patients were enrolled finally, of which 129 (10.9%) developed SAP. Among the patients from the First Affiliated Hospital of Soochow University and Changshu Hospital Affiliated to Soochow University, there were 786 patients in the training set and 197 in the validation set; 200 patients from the Second Affiliated Hospital of Soochow University were used as the test set. Analysis of all three datasets showed that patients who advanced to SAP exhibited pathological manifestation such as abnormal respiratory function, coagulation function, liver and kidney function, and lipid metabolism. Based on the XGBoost algorithm, an SAP prediction model was constructed, and ROC curve analysis showed that the accuracy for prediction of SAP reached 0.830, the area under the ROC curve (AUC) was 0.927, which was significantly improved compared with the traditional scoring systems including MCTSI, Ranson, BISAP and SABP, the accuracy was 0.610, 0.690, 0.763, 0.625, and the AUC was 0.689, 0.631, 0.875, and 0.770, respectively. The feature importance analysis based on the XGBoost model showed that the top ten items ranked by the importance of model features were admission pleural effusion (0.119), albumin (Alb, 0.049), triglycerides (TG, 0.036), Ca2+ (0.034), prothrombin time (PT, 0.031), systemic inflammatory response syndrome (SIRS, 0.031), C-reactive protein (CRP, 0.031), platelet count (PLT, 0.030), lactate dehydrogenase (LDH, 0.029), and alkaline phosphatase (ALP, 0.028). The above indicators were of great significance for the XGBoost model to predict SAP. The SHAP contribution analysis based on the XGBoost model showed that the risk of SAP increased significantly when patients had pleural effusion and decreased Alb.
CONCLUSIONS
A SAP prediction scoring system was established based on the machine automatic learning XGBoost algorithm, which can predict the SAP risk of patients within 48 hours of admission with good accuracy.
Humans
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Pancreatitis
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Acute Disease
;
Retrospective Studies
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Hospitalization
;
Algorithms
8.Localized delivery of nanomedicine and antibodies for combating COVID-19.
Bin TU ; Yanrong GAO ; Xinran AN ; Huiyuan WANG ; Yongzhuo HUANG
Acta Pharmaceutica Sinica B 2023;13(5):1828-1846
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been a major health burden in the world. So far, many strategies have been investigated to control the spread of COVID-19, including social distancing, disinfection protocols, vaccines, and antiviral treatments. Despite the significant achievement, due to the constantly emerging new variants, COVID-19 is still a great challenge to the global healthcare system. It is an urgent demand for the development of new therapeutics and technologies for containing the wild spread of SARS-CoV-2. Inhaled administration is useful for the treatment of lung and respiratory diseases, and enables the drugs to reach the site of action directly with benefits of decreased dose, improved safety, and enhanced patient compliance. Nanotechnology has been extensively applied in the prevention and treatment of COVID-19. In this review, the inhaled nanomedicines and antibodies, as well as intranasal nanodrugs, for the prevention and treatment of COVID-19 are summarized.
9.Research progress in emergency drug stockpile for nuclear and radiological accidents
Fengmei CUI ; Huiyuan XUE ; Xumin ZONG ; Jin GAO ; Liang SUN ; Jun WAN ; Na CHEN ; Yu TU
Chinese Journal of Radiological Medicine and Protection 2023;43(5):393-399
In the current international situation, there is the possibility of nuclear war and nuclear terrorism. The nuclear and radiological emergency in the event of an accident should be enhanced. The World Health Organization (WHO) issued a publication on January 27, 2023, updating the list of drugs recommended for stockpiling in response to radiation and nuclear emergencies, which was the first update since 2007. The list of recommended drug stocks in the publication includes drugs to prevent or reduce the effects of radiation, as well as drugs used to treat injuries after exposure. Based on the list of drugs, this article reviews the emergency response to nuclear and radiological accidents, the general situation of emergency drug stockpiles, drug reserves in some countries, and current considerations, with a view to providing references for emergency medical rescue in nuclear and radiological accidents in China.
10.Inhaled heparin polysaccharide nanodecoy against SARS-CoV-2 and variants.
Bin TU ; Huiyuan WANG ; Xinran AN ; Jingkun QU ; Qianqian LI ; Yanrong GAO ; Mingjie SHI ; Hong QIU ; Yongzhuo HUANG
Acta Pharmaceutica Sinica B 2022;12(7):3187-3194
The heparin polysaccharide nanoparticles block the interaction between heparan sulfate/S protein and inhibit the infection of both wild-type SARS-CoV-2 pseudovirus and the mutated strains through pulmonary delivery.Image 1.

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