1.Differences in deltamethrin resistance and kdr gene mutation in Culex tritaeniorhynchus population in and outside the Yellow Sea wetland
Xiao-er ZHANG ; Zhi-ming WU ; Ye TIAN ; Qian CUI ; Yu-qian JI ; Huan WANG ; Shu-juan YANG ; Yi-chao ZHAO ; Yu WANG ; Hua-yu YIN ; Yu DING ; Guo-jin YAN ; Min-sen ZHAO ; Shou-gang ZHANG ; Bing-dong SONG ; Hong-na CHEN ; Jian GAO ; Wei-fang YANG ; Yu-fu ZHANG ; Hui LIU ; Hong-liang CHU
Acta Parasitologica et Medica Entomologica Sinica 2026;33(2):101-107
Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.
2.Analysis of VWF Gene c.7332G>A Nonsense Mutation Pedigree and Study of Molecular Pathogenesis
Duan-Yang WANG ; Lei WANG ; Dong-Yan FU ; Xiao-Mei LU ; Li-Dong ZHAO ; Jia-Wei ZHENG ; Ya-Lin YU ; Gang WANG ; Lin-Hua YANG
Journal of Experimental Hematology 2025;33(6):1701-1707
Objective:To analyze the genetic characteristics of the VWF gene c.7332G>A nonsense mutation and explore its molecular pathogenesis.Methods:Phenotypic diagnosis of the proband was performed using VWF:Ag,VWF:RCo,FⅧ:C and multimeric analysis.The probands were genotyped by NGS whole-exome sequencing,and the sequencing results were validated by sanger sequencing.The family members were genotyped by Sanger sequencing.The VWF gene c.7332G>A nonsense mutant plasmid was constructed.After transfection,the function of VWF gene c.7332G>A mutant plasmid was verified at cell level in vitro.The mRNA level was detected by qRT-PCR,and the expression level of protein was detected by Western blot,the function of multimerization was verified by the multimeric analysis.Results:VWF:Ag and VWF:RCo were all less than 3%in the proband,and the multimeric analysis showed multimer deficiency.The proband was diagnosed as type 3 VWD.The homozygous nonsense mutation of VWF gene c.7332G>A was detected by gene sequencing.The VWF mRNA level of the mutant plasmid was decreased,and the VWF protein expression in the cell supernatant was decreased,the mutant protein was truncated and the function of VWF multimerization was impaired.Conclusion:A homozygous mutation in exon 43 of VWF gene,c.7332G>A,was responsible for the probands type 3 VWD in the proband.The mutation caused a decrease in the relative level of VWF mRNA and protein,and impaired the function of VWF multimerization.
3.Analysis of Clinical Characteristics and Risk Factors for Bone Lesions in Patients with Multiple Myeloma
Chen-Yang LI ; Qi-Ke ZHANG ; Xiao-Fang WEI ; You-Fan FENG ; Yuan FU ; Qiao-Lin CHEN ; Wen-Jie ZHANG ; Yuan-Yuan ZHANG ; Shao-Hua ZHANG ; Shang-Yi ZHANG ; Jie LIU
Journal of Experimental Hematology 2025;33(6):1635-1639
Objective:To investigate the clinical characteristics of patients with multiple myeloma(MM)complicated by bone lesions and the risk factors associated with bone lesions.Methods:The clinical data of 294 newly diagnosed MM patients in Gansu Provincial Hospital from January 2017 to June 2021 were retrospectively analyzed.The patients were divided into the bone lesion group(154 cases)and the non-bone lesions group(140 cases)based on the presence of absence of bone lesions at diagnosis.The general data and laboratory parameters were compared between the two groups.The risk factors for bone lesions in MM patients were analyzed by logistic regression analysis,and the characteristic(ROC)curves were plotted to assess the predictive value of each risk factor for the occurrence of bone lesions in MM patients.Results:Compared to the non-bone lesion group,the bone lesion group had significantly higher serum calcium levels and significantly greater proportions of patients with Durie-Salmon(DS)stage Ⅲ,and bone pain(all P<0.05).Logistic regression analysis showed that elevated serum calcium(OR=5.135,95%CI:1.931-13.653,P=0.001),DS stage Ⅲ(OR=1.841,95%CI:1.019-3.328,P=0.043),and bone pain(OR=8.208,95%CI:4.761-14.151,P<0.001)were independent risk factors for bone lesions in MM patients.ROC curve analysis showed that serum calcium(AUC=0.619,95%CI:0.555-0.683,P<0.001)and bone pain(AUC=0.743,95%CI:0.692-0.793,P<0.001)had predictive value for bone lesions in MM patients.Conclusion:MM patients have a high incidence of bone lesions,and active monitoring and management of risk factors may improve treatment outcomes and prognosis.
4.Effect of liposome binding antisense oligonucleotide BP1003 on albumin-bound paclitaxel sensitivity in pancreatic cancer cells by inhibiting STAT3
Hua FU ; Guochao ZHOU ; Rongmin CAI ; Xin SONG ; Dinghua YANG
China Oncology 2025;35(5):440-448
Background and purpose:The resistance of pancreatic cancer to albumin-bound paclitaxel affects the therapeutic effect and prognosis.Signal transducer and activator of transcription 3(STAT3)is one of the important molecules regulating the chemotherapy sensitivity of cancer cells.The liposome BP1003 targeting the antisense oligonucleotide of STAT3 mRNA can inhibit the expression of STAT3 and increase the chemotherapy sensitivity.However,the effect of BP1003 on the sensitivity of pancreatic cancer cells to albumin-bound paclitaxel remains unclear.The purpose of this study was to investigate the effects of liposome binding antisense oligonucleotide BP1003 on albumin-bound paclitaxel sensitivity in pancreatic cancer cells by inhibiting STAT3.Methods:Pancreatic cancer cell lines PANC-1 and ASPC-1 were cultured.They were divided into control group(without drugs),BP1003 group(200 μg/mL BP1003 intervention),different concentrations of albumin-bound paclitaxel group(5,10,20 nmol/L albumin-bound paclitaxel intervention),BP1003+different concentrations of albumin-bound paclitaxel group(200 μg/mL BP1003 combined with 5,10,20 nmol/L albumin-bound paclitaxel intervention).The proliferation viability,apoptotic rate and the protein expression levels of STAT3,STAT4,STAT6,Bcl-2,Bax and c-Myc were detected.The transplanted tumor model was established by subcutaneous injection of PANC-1 and ASPC-1 cell suspension in nude mice,which were divided into control group(normal saline intervention),BP1003 group(25 mg/kg BP1003 intervention,once every 2 weeks)and albumin-bound paclitaxel group(10 mg/kg albumin-bound paclitaxel,once a week),BP1003+albumin-bound paclitaxel group(25 mg/kg BP1003 intervention,once every 2 weeks combined with 10 mg/kg albumin-bound paclitaxel,once a week).Four weeks later,the graft volume and mass were measured,and the protein expression levels of STAT3,Bcl-2,Bax and c-Myc were detected.Results:The apoptotic rate and the protein expression levels of Bax of PANC-1 and ASPC-1 cells in BP1003 group and albumin-bound paclitaxel group were higher than those in the control group,while the proliferation viability and protein expression levels of STAT3,Bcl-2 and c-Myc were lower than those in control group(P<0.05).There was no significant difference in the expression levels of STAT4 and STAT6 in PANC-1 and ASPC-1 cells between BP1003 group and the control group(P>0.05).The apoptotic rate and the protein expression levels of Bax of PANC-1 and ASPC-1 cells in BP1003+different concentrations of albumin-bound paclitaxel groups were higher than those in different concentrations of albumin-bound paclitaxel groups,and the proliferation viability and protein expression levels of STAT3,Bcl-2 and c-Myc were lower than those in different concentrations of albumin-bound paclitaxel groups(P<0.05).The volume and mass of transplanted tumor and the protein expression levels of STAT3,Bcl-2 and c-Myc of nude mice in BP1003 group,albumin-bound paclitaxel group and BP1003+albumin-bound paclitaxel group were all lower compared with the control group,the protein expression level of Bax was higher compared with the control group(P<0.05),and the above changes in BP1003+albumin-bound paclitaxel group were more significant compared with BP1003 and albumin-bound paclitaxel group.Conclusion:BP1003 increases the sensitivity of pancreatic cancer cells to albumin-bound paclitaxel by inhibiting the expression of STAT3.
5.Dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network
Xin-yi WANG ; Tao ZHANG ; Xiang TIAN ; Ning YANG ; Jun-jie DU ; Xue-chao LIU ; Feng FU ; Xue-tao SHI ; Can-hua XU
Chinese Medical Equipment Journal 2025;46(6):1-6
Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]
6.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
7.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
8.Effect of liposome binding antisense oligonucleotide BP1003 on albumin-bound paclitaxel sensitivity in pancreatic cancer cells by inhibiting STAT3
Hua FU ; Guochao ZHOU ; Rongmin CAI ; Xin SONG ; Dinghua YANG
China Oncology 2025;35(5):440-448
Background and purpose:The resistance of pancreatic cancer to albumin-bound paclitaxel affects the therapeutic effect and prognosis.Signal transducer and activator of transcription 3(STAT3)is one of the important molecules regulating the chemotherapy sensitivity of cancer cells.The liposome BP1003 targeting the antisense oligonucleotide of STAT3 mRNA can inhibit the expression of STAT3 and increase the chemotherapy sensitivity.However,the effect of BP1003 on the sensitivity of pancreatic cancer cells to albumin-bound paclitaxel remains unclear.The purpose of this study was to investigate the effects of liposome binding antisense oligonucleotide BP1003 on albumin-bound paclitaxel sensitivity in pancreatic cancer cells by inhibiting STAT3.Methods:Pancreatic cancer cell lines PANC-1 and ASPC-1 were cultured.They were divided into control group(without drugs),BP1003 group(200 μg/mL BP1003 intervention),different concentrations of albumin-bound paclitaxel group(5,10,20 nmol/L albumin-bound paclitaxel intervention),BP1003+different concentrations of albumin-bound paclitaxel group(200 μg/mL BP1003 combined with 5,10,20 nmol/L albumin-bound paclitaxel intervention).The proliferation viability,apoptotic rate and the protein expression levels of STAT3,STAT4,STAT6,Bcl-2,Bax and c-Myc were detected.The transplanted tumor model was established by subcutaneous injection of PANC-1 and ASPC-1 cell suspension in nude mice,which were divided into control group(normal saline intervention),BP1003 group(25 mg/kg BP1003 intervention,once every 2 weeks)and albumin-bound paclitaxel group(10 mg/kg albumin-bound paclitaxel,once a week),BP1003+albumin-bound paclitaxel group(25 mg/kg BP1003 intervention,once every 2 weeks combined with 10 mg/kg albumin-bound paclitaxel,once a week).Four weeks later,the graft volume and mass were measured,and the protein expression levels of STAT3,Bcl-2,Bax and c-Myc were detected.Results:The apoptotic rate and the protein expression levels of Bax of PANC-1 and ASPC-1 cells in BP1003 group and albumin-bound paclitaxel group were higher than those in the control group,while the proliferation viability and protein expression levels of STAT3,Bcl-2 and c-Myc were lower than those in control group(P<0.05).There was no significant difference in the expression levels of STAT4 and STAT6 in PANC-1 and ASPC-1 cells between BP1003 group and the control group(P>0.05).The apoptotic rate and the protein expression levels of Bax of PANC-1 and ASPC-1 cells in BP1003+different concentrations of albumin-bound paclitaxel groups were higher than those in different concentrations of albumin-bound paclitaxel groups,and the proliferation viability and protein expression levels of STAT3,Bcl-2 and c-Myc were lower than those in different concentrations of albumin-bound paclitaxel groups(P<0.05).The volume and mass of transplanted tumor and the protein expression levels of STAT3,Bcl-2 and c-Myc of nude mice in BP1003 group,albumin-bound paclitaxel group and BP1003+albumin-bound paclitaxel group were all lower compared with the control group,the protein expression level of Bax was higher compared with the control group(P<0.05),and the above changes in BP1003+albumin-bound paclitaxel group were more significant compared with BP1003 and albumin-bound paclitaxel group.Conclusion:BP1003 increases the sensitivity of pancreatic cancer cells to albumin-bound paclitaxel by inhibiting the expression of STAT3.
9.Dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network
Xin-yi WANG ; Tao ZHANG ; Xiang TIAN ; Ning YANG ; Jun-jie DU ; Xue-chao LIU ; Feng FU ; Xue-tao SHI ; Can-hua XU
Chinese Medical Equipment Journal 2025;46(6):1-6
Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]
10.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.


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