1.Perioperative immune dynamics and clinical outcomes in patients undergoing on-pump cardiac surgery
Zhiyuan CHENG ; Xinyi LIAO ; Juan WU ; Ping YANG ; Tingting WANG ; Qinjuan WU ; Wentong MENG ; Zongcheng TANG ; Jiayi SUN ; Jia TAN ; Jing LIN ; Dan LUO ; Hao WANG ; Chaonan LIU ; Jiyue XIONG ; Liqin LING ; Jing ZHOU ; Lei DU
Chinese Journal of Blood Transfusion 2026;39(1):31-43
Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10
/L vs preoperative 3.07×10
/L, P<0.001), with significant upregulation of CD11b (7.30×10
/L vs preoperative 3.05×10
/L, P<0.001) and CD54 (7.15×10
/L vs preoperative 2.99×10
/L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10
/L vs preoperative 1.12×10
/L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10
/L vs preoperative 1.12×10
/L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.
2.Analgesic Effect of Different Doses of Dexmedetomidine Combined with Propofol in Elderly Patients Undergoing Radical Thyroidectomy for Thyroid Cancer and its Impact on Cognitive Function
Chen XU ; Xu-hua KONG ; Dan GAO ; Wan-jun LIU ; Jun-bo LI
Progress in Modern Biomedicine 2025;25(15):2504-2510
Objective:To explore the application effect of different doses of dexmedetomidine combined with propofol in elderly patients undergoing radical thyroidectomy for thyroid cancer.Methods:This study was a prospective study,102 elderly patients undergoing radical thyroidectomy for thyroid cancer at Shayang County People's Hospital of Jingmen from April 2022 to April 2024 were selected,they were randomly divided into low-dose group and high-dose group used random number table method,with 51 patients in each group.Low-dose group received propofol(2.0 mg/kg)combined with dexmedetomidine(loading dose 0.3 μg/kg)for anesthesia induction,while high-dose group received propofol(1.0 mg/kg)combined with dexmedetomidine(loading dose 0.6 μg/kg)for anesthesia induction.The postoperative recovery indicators,pain level,cognitive function,hemodynamic indicators[mean arterial pressure(MAP)and heart rate(HR)],and adverse reactions between two groups were compared.Results:Compared with high-dose group,low-dose group had shorter awakening time,spontaneous breathing recovery time,tracheal extubation time,and lower incidence of adverse reactions(P<0.05).Compared with high-dose group at 6 h,12 h,and 24 h after surgery,low-dose group had lower pain visual analog scale(VAS)scores and higher mini-mental state examination(MMSE)scores(P<0.05).Compared with high-dose group at separation of thyroid gland(T2)to completion of surgery(T3),low-dose group had lower MAP and HR(P<0.05).Conclusion:Loading dose 0.3 μg/kg dexmedetomidine combined with propofol has a good analgesic effect in elderly patients undergoing radical surgery for thyroid cancer,it can also maintain hemodynamic stability,reduce the impact on cognitive function,and lower the incidence of adverse reactions.
3.The expression and clinical value of ferritinophagy-related gene ELAVL1 in multiple myeloma
Rui ZHANG ; Bingjie WAN ; Xiaomin REN ; Gustave MUNYURANGABO ; Xiao YU ; Jiyu MIAO ; Peihua ZHANG ; Hongwei LIU ; Dan YANG ; Lin LI ; Qiao LI ; Siyu LUO ; Aili HE ; Guangyao KONG ; Yachun JIA
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(3):504-510
Objective To investigate the expression of ferritinophagy-related gene ELAV-like RNA binding protein 1(ELAVL1)in multiple myeloma(MM)and elucidate its diagnostic and prognostic value for MM.Methods First,we analyzed ELAVL1 expression level in healthy controls and MM patients using data from the GEO and TCGA databases.Subsequently,bone marrow specimens were collected from 28 newly diagnosed MM patients and 20 healthy controls,and qRT-PCR was employed to validate ELAVL1 expression.The diagnostic and prognostic potential of ELAVL1 was assessed using ROC curve analysis and Kaplan-Meier survival curves.Additionally,univariate and multivariate COX regression analyses were performed to identify independent risk factors for MM prognosis.Finally,KEGG and GO enrichment analyses were performed using the DAVID online platform.Results The level of ELAVL1 expression was significantly higher in newly diagnosed MM patients and refractory/relapsed MM patients than in the healthy controls(P<0.001).Moreover,ELAVL1 expression was positively correlated with the International Staging System(ISS)stage of MM(P<0.01).Furthermore,qRT-PCR validation confirmed that ELAVL1 expression was elevated in the 28 newly diagnosed MM patients compared to the 20 healthy controls(P<0.001).ROC curve analysis demonstrated that ELAVL1 could effectively differentiate between newly diagnosed MM patients,healthy controls,and MGUS patients(P<0.001 and P=0.000 2,respectively).Survival analysis revealed that high ELAVL1 expression was associated with shorter progression-free survival(P=0.0141)and overall survival(P=0.008 0).Univariate and multivariate COX regression analyses identified high ELAVL1 expression as an independent risk factor for poor MM prognosis(P=0.005 0).KEGG analysis suggested that ELAVL1 might be involved in the Hippo and MAPK signaling pathways.Conclusion High ELAVL1 expression in MM may serve as a biomarker for diagnosis and poor prognosis.ELAVL1 may promote MM initiation and progression via the Hippo and MAPK signaling pathways.
4.Progresses of deep learning in breast cancer ultrasound imaging
Yang HAN ; Dan FU ; Haihua BAO ; Lingxin KONG
Chinese Journal of Interventional Imaging and Therapy 2025;22(1):71-74
Breast cancer is malignant tumor with the highest incidence in women.Early ultrasound diagnosis and timely treatment can reduce therapeutic costs and improve long-term survival rate.In recent years,deep learning(DL)technology had been widely used in ultrasound imaging of breast cancer and achieved remarkable results.The progresses of DL in ultrasound imaging of breast cancer were reviewed in this article.
5.The expression and clinical value of ferritinophagy-related gene ELAVL1 in multiple myeloma
Rui ZHANG ; Bingjie WAN ; Xiaomin REN ; Gustave MUNYURANGABO ; Xiao YU ; Jiyu MIAO ; Peihua ZHANG ; Hongwei LIU ; Dan YANG ; Lin LI ; Qiao LI ; Siyu LUO ; Aili HE ; Guangyao KONG ; Yachun JIA
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(3):504-510
Objective To investigate the expression of ferritinophagy-related gene ELAV-like RNA binding protein 1(ELAVL1)in multiple myeloma(MM)and elucidate its diagnostic and prognostic value for MM.Methods First,we analyzed ELAVL1 expression level in healthy controls and MM patients using data from the GEO and TCGA databases.Subsequently,bone marrow specimens were collected from 28 newly diagnosed MM patients and 20 healthy controls,and qRT-PCR was employed to validate ELAVL1 expression.The diagnostic and prognostic potential of ELAVL1 was assessed using ROC curve analysis and Kaplan-Meier survival curves.Additionally,univariate and multivariate COX regression analyses were performed to identify independent risk factors for MM prognosis.Finally,KEGG and GO enrichment analyses were performed using the DAVID online platform.Results The level of ELAVL1 expression was significantly higher in newly diagnosed MM patients and refractory/relapsed MM patients than in the healthy controls(P<0.001).Moreover,ELAVL1 expression was positively correlated with the International Staging System(ISS)stage of MM(P<0.01).Furthermore,qRT-PCR validation confirmed that ELAVL1 expression was elevated in the 28 newly diagnosed MM patients compared to the 20 healthy controls(P<0.001).ROC curve analysis demonstrated that ELAVL1 could effectively differentiate between newly diagnosed MM patients,healthy controls,and MGUS patients(P<0.001 and P=0.000 2,respectively).Survival analysis revealed that high ELAVL1 expression was associated with shorter progression-free survival(P=0.0141)and overall survival(P=0.008 0).Univariate and multivariate COX regression analyses identified high ELAVL1 expression as an independent risk factor for poor MM prognosis(P=0.005 0).KEGG analysis suggested that ELAVL1 might be involved in the Hippo and MAPK signaling pathways.Conclusion High ELAVL1 expression in MM may serve as a biomarker for diagnosis and poor prognosis.ELAVL1 may promote MM initiation and progression via the Hippo and MAPK signaling pathways.
6.Progresses of deep learning in breast cancer ultrasound imaging
Yang HAN ; Dan FU ; Haihua BAO ; Lingxin KONG
Chinese Journal of Interventional Imaging and Therapy 2025;22(1):71-74
Breast cancer is malignant tumor with the highest incidence in women.Early ultrasound diagnosis and timely treatment can reduce therapeutic costs and improve long-term survival rate.In recent years,deep learning(DL)technology had been widely used in ultrasound imaging of breast cancer and achieved remarkable results.The progresses of DL in ultrasound imaging of breast cancer were reviewed in this article.
7.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
8.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
9.ManNAc improves glucose and lipid metabolic disorders in high-fat diet-induced obese mice
Xiangxue KONG ; Dan LI ; Jiangwei XU ; Ju YANG ; Yingyu WANG ; Jiai YAN ; Jing SUN ; Hong CAO
Chinese Journal of Endocrinology and Metabolism 2025;41(5):401-410
Objective:To investigate the ameliorative effects of N-acetyl-D-mannosamine(ManNAc) on glucose and lipid metabolic disorders in obese mice.Methods:In vivo experiments were conducted using 21 four-week-old C57BL/6JGpt mice, randomly divided into three groups( n=7 per group): a normal control group, a high-fat diet(HFD) control grooup, and a ManNAc treatment group(400 mg·kg -1·d -1). The intervention lasted for 20 weeks. Body weight, food intake, and fasting blood glucose levels were monitored weekly. Glucose tolerance tests(GTT), insulin sensitivity tests(ITT), and respiratory metabolism monitoring were performed in the 17th, 18th, and 19th weeks, respectively. At the end of the experiment, whole-body fat distribution was assessed, and serum lipid profiles were measured. Liver and adipose tissue weights were recorded, and histological analyses including HE staining of liver, adipose and pancreatic tissues were performed. Liver transcriptome sequencing and quantitative real-time PCR(qPCR) were conducted to evaluate hepatic gene expression. In vitro, a hepatic steatosis model was established by inducing HepG2 cell with 0.4 mmol/L oleic acid, followed by treatment with 500 μg/mL ManNAc. Lipid accumulation was assessed using BODIPY staining, and the expression of lipid metabolism-related genes was quantified by qPCR. Results:ManNAc administration attenuated HFD-induced weight gain, reduced total body fat volume, and decreased liver and adipose tissue weights as well as intracellular lipid accumulation. Pancreatic islet numbers increased, while fasting blood glucose levels, glucose tolerance, and insulin sensitivity significantly improved. Serum levels of triglycerides, total cholesterol, and low-density lipoprotein levels were decreased, accompanied by enhanced energy expenditure. Additionally, hepatic expression of Cd36, Fabp3, and Scd1 was downregulated. In vitro, ManNAc significantly reduced lipid accumulation in HepG2 cells and downregulated the expression of Cd36, Fabp3, and Scd1 genes.Conclusion:ManNAc may improve glucose and lipid metabolism by modulating the PPARs-mediated fatty acid metabolic pathway, reducing lipogenesis, promoting fatty acid oxidation and energy expenditure, and enhancing insulin sensitivity, ultimately ameliorating disorders in obese mice.
10.Design and implementation of an outpatient guidance system utilizing internet hospital framework
Junqing LIU ; Shiyun LI ; Henglei DONG ; Yanjie XU ; Ruozhen WANG ; Jingkai ZHAO ; Dan KONG ; Chenkang QI ; Weixi LIU ; Jianfeng LIU
Modern Hospital 2025;25(2):274-277,281
Objective To enhance the patient's medical experience by facilitating real-time reading monitoring of their offline outpatient medical progress,providing a centralized display of the status of various medical processes,and proactively de-livering the essential message notifications to patients at designated intervals.Methods The system was developed by adopting a message reminder functionality and integrating with the display of critical diagnostic and treatment processes(including registra-tion,payment,examination,testing,medication collection,and evaluation)so as to ensure that patients receive timely informa-tion that guides their subsequent actions.Results Following the developement and implementation of the system,empirical evi-dence demonstrated that patients were able to clearly comprehend their diagnostic and treatment progress.The system reduced waiting time and confusion.In addition,it enhanced the coherence and convenience of medical services.Conclusion The out-patient medical guidance system,grounded on the Internet hospital model,has effectively minimized patient confusion and stre-amlined operational procedures through an active service approach.Future enhancements are anticipated to further elevate the in-telligence of medical services by broadening business coverage and integrating advanced technologies such as big data and artificial intelligence and other technologies in the future.

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