1.Determination of linezolid and vancomycin in trace plasma/serum of children with severe infection by HPLC-MS/MS
Xi-Juan JIANG ; Rong LEI ; Ya-Bin QIN ; Yi-Le ZHAO
The Chinese Journal of Clinical Pharmacology 2024;40(7):1044-1048
Objective To establish a rapid high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)method for the determination of linezolid and vancomycin in trace plasma/serum from pediatric patients with severe infection.Methods The plasma/serum specimens(10 μL)were precipitated by methanol,then the supernatant was injected for detection directly.The internal standards were linezolid-D3 and norvancomycin.The chromatographic separation was performed with gradient elution on a Kinetex? EVO C18 column(30.0 mm × 2.1 mm,2.6 μm)using water and acetonitrile,each containing 0.1%formic acid,as mobile phase.The flow rate was 0.5 mL·min-1 and column temperature was 40 ℃.The injection volume was 2 μL and the total run time was 2 min.For mass spectrometry,electrospray ionization source was chosen,positive ion monitoring was used with multi-reaction monitoring(MRM)mode.The selectivity,lower limit of quantification(LLOQ)& calibration curve,accuracy & precision,recovery,matrix effect,stability,cross detection of plasma and serum samples,evaluation of hemolytic and hyperlipidemic effect were investigated.Results The retention times of linezolid,vancomycin,internal standard linezolid-D3 and norvancomycin were 1.18,1.03,1.17 and 1.01 min,respectively.The calibration curves of linezolid and vancomycin were y=8.95 × 10-1x+3.49 × 10-3(r=0.997 1)and y=3.13 × 10-1x+6.93 × 10-2(r=0.997 4),with the linear ranges of 0.2-25.6 μg·mL-1 and 1-128 μg·mL-1,and the lower limits of quantification were 0.2 μg·mL-1 and 1 μg·mL-1,respectively.The intra-run and inter-run precisions relative standard deviation(RSD)were both less than 9.55%.The average extraction recoveries of the two drugs were 96.24%-104.57%.The RSDs of internal standards-normalized matrix effect were no more than 7.58%.Plasma and serum matrix samples could be cross-detected.The maximum tolerable hemolysis degree of linezolid and vancomycin were 2%and 5%,respectively,and the hyperlipidemic effect did not affect the quantitation.The stability of the samples was good under test conditions.This method was successfully applied to the analysis of plasma samples from 28 pediatric patients with severe infection in our hospital.Conclusion This assay is sample-saving,simple,rapid,accurate and robust,widely used,which can be applied to combination medication studies of linezolid and vancomycin and their therapeutic drug monitoring in pediatric patients.
2.A multicenter retrospective cohort study on the attributable risk of patients with Acinetobacter baumannii sterile body fluid infection
Lei HE ; Dao-Bin JIANG ; Ding LIU ; Xiao-Fang ZHENG ; He-Yu QIU ; Shu-Mei WU ; Xiao-Ying WU ; Jin-Lan CUI ; Shou-Jia XIE ; Qin XIA ; Li HE ; Xi-Zhao LIU ; Chang-Hui SHU ; Rong-Qin LI ; Hong-Ying TAO ; Ze-Fen CHEN
Chinese Journal of Infection Control 2024;23(1):42-48
Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3%,and that of non-infected group was 23.1%,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2%(95%CI:-2.3%-22.8%).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P>0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P>0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.
3.Development of A Predictive Model for Adverse Inhalation Risk in COPD Inhaler Therapy Using Machine Learning Algorithms
Lijuan ZHOU ; Xianxiu WEN ; Haiyan WU ; Rong JIANG ; Xuan WANG ; Li GOU ; Qin LYU ; Dingding ZHANG ; Qian HUANG ; Xingwei WU
Herald of Medicine 2024;43(9):1509-1518
Objective To construct and validate a risk prediction model for poor inhalation in chronic obstructive pulmonary disease(COPD)patients receiving inhaler therapy,providing a decision support tool for personalized prevention of poor inhalation.Methods A cross-sectional study was conducted to collect data related to COPD patients receiving inhaler therapy,forming a dataset.The dataset was randomly divided into a training set and a test set in a ratio of 4∶1.Four different methods for missing value imputation,3 methods for variable feature selection,and 18 machine learning algorithms were employed to successfully construct 216 models on the training set.The monte carlo simulation method was used for resampling in the test set to validate the models,with the area under curve(AUC),accuracy,precision,recall,and F1 score used to evaluate model performance.The optimal model was selected to build the poor inhalation prediction platform.Results A study involving 308 patients with COPD found that 135(43.8%)were at risk of adverse inhalation.Using 33 predictor variables,216 risk prediction models were developed.Of these models,the ensemble learning algorithm yielded the highest average AUC of 0.844,with a standard deviation of 0.058[95%CI=(0.843,0.845)].The differences in predictive performance among the 216 models were statistically significant(P<0.01).Under the ensemble learning algorithm,adherence to inhaler use(38.087 4%),inhaler satisfaction(25.680 1%),literacy(24.031 3%),number of inhalers(5.482 3%),age(4.204 5%)and number of acute exacerbations in the past year(2.184 7%)contributed most to the predictive model.The model exhibited superior performance,with an AUC of 0.869 3,an accuracy of 83.87%,a precision of 86.96%,a recall of 74.07%,and an F1 score of 0.8.Conclusion This study has developed a predictive model for poor inhalation risk in COPD inhaler therapy patients using machine learning algorithms,which exhibits strong predictive capabilities and holds potential clinical application value.
4.Surveillance of antifungal resistance in clinical isolates of Candida spp.in East China Invasive Fungal Infection Group from 2018 to 2022
Dongjiang WANG ; Wenjuan WU ; Jian GUO ; Min ZHANG ; Huiping LIN ; Feifei WAN ; Xiaobo MA ; Yueting LI ; Jia LI ; Huiqiong JIA ; Lingbing ZENG ; Xiuhai LU ; Yan JIN ; Jinfeng CAI ; Wei LI ; Zhimin BAI ; Yongqin WU ; Hui DING ; Zhongxian LIAO ; Gen LI ; Hui ZHANG ; Hongwei MENG ; Changzi DENG ; Feng CHEN ; Na JIANG ; Jie QIN ; Guoping DONG ; Jinghua ZHANG ; Wei XI ; Haomin ZHANG ; Rong TANG ; Li LI ; Suzhen WANG ; Fen PAN ; Jing GAO ; Lu JIANG ; Hua FANG ; Zhilan LI ; Yiqun YUAN ; Guoqing WANG ; Yuanxia WANG ; Liping WANG
Chinese Journal of Infection and Chemotherapy 2024;24(4):402-409
Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33%of which were isolated from sterile body sites,mainly from blood(38.86%)and pleural effusion/ascites(10.21%).The predominant species of Candida were Candida albicans(44.51%),followed by Candida parapsilosis complex(19.46%),Candida tropicalis(13.98%),Candida glabrata(10.34%),and other Candida species(0.79%).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62%).Only 2.97%of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61%and a resistance rate of 9.42%to fluconazole,and susceptibility rates above 90%to other drugs.Candida glabrata had a SDD rate of 92.01%and a resistance rate of 7.99%to fluconazole,resistance rates of 32.27%and 48.24%to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90%to other drugs.Candida tropicalis had resistance rates of 29.55%and 26.24%to fluconazole and voriconazole,respectively,resistance rates of 76.60%and 21.99%to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36%to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.
5.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
6.A qualitative study of the influencing factors of ecological momentary assessment of rehabilitation exercise in middle-aged stroke patients
Yuting TAN ; Zhixia ZHANG ; Zhen YANG ; Linru QIAO ; Rong CHENG ; Qiuxia CHEN ; Lanjiao CHEN ; Qin XIAO ; Fang JIANG
Chinese Journal of Nursing 2024;59(21):2620-2626
Objective To explore the influencing factors of ecological momentary assessment(EMA)in the implementation of home rehabilitation exercise for middle-aged stroke patients,and to provide a basis for decision-making and practice of precision rehabilitation nursing for stroke.Methods This descriptive qualitative research utilized purposive sampling method to select 8 medical staff,4 information technicians,8 middle-aged stroke patients,and 5 caregivers from a tertiary A general hospital in Wuhan from January 2 to March 10,2024 as the research subjects.Semi-structured interview was conducted based on the framework of diffusion of innovations theory.The data were analyzed using directed content analysis.Results 5 themes and 10 sub-themes were extracted,including relative advantage factors(conducive to precise and dynamic evaluation of patient rehabilitation behavior and symptom trajectory by medical staff;enhancing patient self-management awareness,effectively reducing care burden),compatibility factors(new methods conflict with existing values;new methods are in line with clinical work practice),complexity factors(evaluation frequency affects the accuracy of rehabilitation tracking;limited limb function and social support increase user burden),experimental factors(pilot and real-time feedback improve user experience;experience summary and promotion,the strengthening of practical verification orientation),and observable factors(successful cases of mobile health help popularize new methods;visualization of new methods to enrich mobile health practice).Conclusion There are certain promoting and hindering factors in the implementation of EMA in the field of home rehabilitation exercise for middle-aged stroke patients.In the future,it is necessary to explore the potential of EMA in the field of precision rehabilitation and ensure its compatibility with clinical practice.
8.An antigen self-assembled and dendritic cell-targeted nanovaccine for enhanced immunity against cancer.
Yunting ZHANG ; Min JIANG ; Guangsheng DU ; Xiaofang ZHONG ; Chunting HE ; Ming QIN ; Yingying HOU ; Rong LIU ; Xun SUN
Acta Pharmaceutica Sinica B 2023;13(8):3518-3534
The rise of nanotechnology has opened new horizons for cancer immunotherapy. However, most nanovaccines fabricated with nanomaterials suffer from carrier-related concerns, including low drug loading capacity, unpredictable metabolism, and potential systemic toxicity, which bring obstacles for their clinical translation. Herein, we developed an antigen self-assembled nanovaccine, which was resulted from a simple acryloyl modification of the antigen to induce self-assembly. Furthermore, a dendritic cell targeting head mannose monomer and a mevalonate pathway inhibitor zoledronic acid (Zol) were integrated or absorbed onto the nanoparticles (denoted as MEAO-Z) to intensify the immune response. The synthesized nanovaccine with a diameter of around 70 nm showed successful lymph node transportation, high dendritic cell internalization, promoted costimulatory molecule expression, and preferable antigen cross-presentation. In virtue of the above superiorities, MEAO-Z induced remarkably higher titers of serum antibody, stronger cytotoxic T lymphocyte immune responses and IFN-γ secretion than free antigen and adjuvants. In vivo, MEAO-Z significantly suppressed EG7-OVA tumor growth and prolonged the survival time of tumor-bearing mice. These results indicated the translation promise of our self-assembled nanovaccine for immune potentiation and cancer immunotherapy.
9.Isoliquiritigenin induces HMOX1 and GPX4-mediated ferroptosis in gallbladder cancer cells.
Zeyu WANG ; Weijian LI ; Xue WANG ; Qin ZHU ; Liguo LIU ; Shimei QIU ; Lu ZOU ; Ke LIU ; Guoqiang LI ; Huijie MIAO ; Yang YANG ; Chengkai JIANG ; Yong LIU ; Rong SHAO ; Xu'an WANG ; Yingbin LIU
Chinese Medical Journal 2023;136(18):2210-2220
BACKGROUND:
Gallbladder cancer (GBC) is the most common malignant tumor of biliary tract. Isoliquiritigenin (ISL) is a natural compound with chalcone structure extracted from the roots of licorice and other plants. Relevant studies have shown that ISL has a strong anti-tumor ability in various types of tumors. However, the research of ISL against GBC has not been reported, which needs to be further investigated.
METHODS:
The effects of ISL against GBC cells in vitro and in vivo were characterized by cytotoxicity test, RNA-sequencing, quantitative real-time polymerase chain reaction, reactive oxygen species (ROS) detection, lipid peroxidation detection, ferrous ion detection, glutathione disulphide/glutathione (GSSG/GSH) detection, lentivirus transfection, nude mice tumorigenesis experiment and immunohistochemistry.
RESULTS:
ISL significantly inhibited the proliferation of GBC cells in vitro . The results of transcriptome sequencing and bioinformatics analysis showed that ferroptosis was the main pathway of ISL inhibiting the proliferation of GBC, and HMOX1 and GPX4 were the key molecules of ISL-induced ferroptosis. Knockdown of HMOX1 or overexpression of GPX4 can reduce the sensitivity of GBC cells to ISL-induced ferroptosis and significantly restore the viability of GBC cells. Moreover, ISL significantly reversed the iron content, ROS level, lipid peroxidation level and GSSG/GSH ratio of GBC cells. Finally, ISL significantly inhibited the growth of GBC in vivo and regulated the ferroptosis of GBC by mediating HMOX1 and GPX4 .
CONCLUSION
ISL induced ferroptosis in GBC mainly by activating p62-Keap1-Nrf2-HMOX1 signaling pathway and down-regulating GPX4 in vitro and in vivo . This evidence may provide a new direction for the treatment of GBC.
Animals
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Mice
;
Carcinoma in Situ
;
Chalcones/pharmacology*
;
Ferroptosis
;
Gallbladder Neoplasms/genetics*
;
Glutathione Disulfide
;
Kelch-Like ECH-Associated Protein 1
;
Mice, Nude
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NF-E2-Related Factor 2/genetics*
;
Reactive Oxygen Species
;
Humans
10.Effect of High-Concentration Uric Acid on Nitric Oxide.
Si-Yu QIN ; Rong-Yu LAN ; Jia ZENG ; Xue BAI ; Jing-Tao WANG ; Xiang-Lin YIN ; Rui-Jie QU ; Ming-Hai QU ; Hao JIANG ; Wen-Long LI ; Si-Ying PEI ; Zhi-Ling HOU ; Bao-Sheng GUAN ; Hong-Bin QIU
Acta Academiae Medicinae Sinicae 2023;45(4):666-671
Uric acid (UA) is the final product of purine metabolism in human body,and its metabolic disorder will induce hyperuricemia (HUA).The occurrence and development of HUA are associated with a variety of pathological mechanisms such as oxidative stress injury,activation of inflammatory cytokines,and activation of renin-angiotensin-aldosterone system.These mechanisms directly or indirectly affect the bioavailability of endogenous nitric oxide (NO).The decrease in NO bioavailability is common in the diseases with high concentration of UA as an independent risk factor.In this review,we summarize the mechanisms by which high concentrations of UA affect the endogenous NO bioavailability,with a focus on the mechanisms of high-concentration UA in decreasing the synthesis and/or increasing the consumption of NO.This review aims to provide references for alleviating the multisystem symptoms and improving the prognosis of HUA,and lay a theoretical foundation for in-depth study of the correlations between HUA and other metabolic diseases.
Humans
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Nitric Oxide
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Uric Acid
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Hyperuricemia
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Biological Availability
;
Cytokines

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