1.Research on Doxorubicin-Induced Cardiotoxicity Mechanism and Its Forensic Ap-plication
Shuai ZHANG ; Hong-Fei XU ; Zhi-Xiang ZHANG ; Ying WANG ; Shao-Hua ZHU
Journal of Forensic Medicine 2025;41(2):120-126
Doxorubicin is a commonly used antitumor drug for the treatment of various cancers.How-ever,its clinical application is greatly restricted by its severe cardiotoxicity.At present,doxorubicin-induced cardiotoxicity is categorized into acute and chronic forms,depending on the dosage and dura-tion of exposure,which may eventually lead to the occurrence of heart failure.The pathogenesis of doxorubicin cardiotoxicity is associated with oxidative stress,mitochondrial damage,calcium overload,dysregulation of autophagy,and apoptosis.In forensic medical practice,cases of poisoning or even car-diac death caused by doxorubicin showed no obvious changes in cardiac morphology through routine forensic pathological examinations.The paper aims to summarize the research on the mechanisms of action of doxorubicin-induced cardiotoxicity in recent years,analyze and discuss the possible pathways of cardiomyocyte injury caused by doxorubicin,and provide references for research on the mechanisms of doxorubicin-induced cardiotoxicity and forensic application.
2.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
3.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; 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 ; Hong ZHANG ; Chun WANG ; 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(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
4.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; 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 ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; 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 ; 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 ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
5.Effects of genetic risk of insulin resistance and triglyceride index on risk of cardiovascular disease
Ying PAN ; Shuting LIU ; Haoyu GU ; Mengjie ZHAO ; Zhiping XU ; Yun TANG ; Min HUANG ; Yueqing HUANG ; Kaixin ZHOU ; Jian SHAO ; Shao ZHONG
Chinese Journal of Geriatrics 2025;44(5):643-649
Objective:By analyzing the genetic risk of triglyceride-glucose index(Tyg)and insulin resistance(IR)for cardiovascular disease(CVD), to elucidate the extent to which the contribution of Tyg to the risk of CVD development is influenced by IR genetic risk.Methods:In this study, we selected data from a cohort of elderly people in the Kunshan community, screened 7, 385 individuals with both clinical and genomic data, and calculated the polygenic risk score of insulin resistance(IRPRS)for each participant based on publicly available IR genome-wide association data, and assessed the effect of genetic risk and Tyg level on the risk of developing CVD using a multivariate Cox proportional risk model.Calculating interactions to assess the effects of genetic risk and Tyg levels on the risk of developing CVD, the effects of Tyg tertile grouping and IRPRS on the risk of developing CVD were assessed using a multivariate Cox proportional risk model, and subgroup analyses were performed for gender to assess the effects of Tyg tertile grouping and IRPRS on the risk of developing CVD by gender.Results:In the univariate Cox model, Q3 and IRPRS with the highest TYG levels were significantly associated with the risk of CVD, respectively( HR=1.59, 95% CI: 1.33-1.89; P<0.001; HR=1.61, 95% CI: 1.18-2.20; P=0.003).After adjusting for multiple confounders, the Q3 Group with the highest TYG level was still significantly associated with the risk of CVD( HR=1.28, 95% CI: 1.05-1.57; P=0.014), the Association of TYG with the risk of CVD did not change significantly( HR=1.29, 95% CI: 1.05-1.57; P=0.014).We conducted a subgroup analysis by sex and found that among older men, 13, the highest levels of TYG and IRPRS were significantly associated with CVD risk, respectively( HR=1.70, 95% CI: 1.31.2.20; P<0.001; HR=1.98, 95% CI: 1.24-3.15; P=0.004).After adding IRPRS to the model, the Association of TYG with the risk of CVD remained unchanged( HR=1.69, 95% CI: 1.31-2.19; P<0.001).After adjusting for various confounders, Tyg remained significantly associated with the risk of CVD( HR=1.39, 95% CI: 1.04-1.88; P=0.028), the results showed that TYG remained significantly associated with the risk of CVD( HR=1.41, 95% CI: 1.05-1.90; P=0.023), and the association did not decrease.No Association of IRPRS with CVD risk was found in older women. Conclusions:IRPRS and TYG are the risk factors of CVD, and diet, exercise, drugs and other external factors on TYG are the main risk factors of CVD.For individuals with high genetic factors, the risk of CVD can still be reduced by lifestyle adjustments such as diet, exercise and drug intervention.
6.Expert consensus on intraoperative repositioning for patients with spine fracture and dislocation (version 2025)
Dongmei BIAN ; Ke SUN ; Ningbo CHEN ; Caixia BAI ; Miao WANG ; Yafeng QIAO ; Fei WANG ; Hong WANG ; Feng TIAN ; Mei YAN ; Meng BAI ; Linjuan ZHANG ; Liyan ZHAO ; Yaqing CUI ; Xue JIANG ; Leling FENG ; Ning NING ; Junqin DING ; Lan WEI ; Yonghua ZHAI ; Yu ZENG ; Zengmei ZHANG ; Jiqun HE ; Fenggui BIE ; Hong CHEN ; Zengyan WANG ; Li LI ; Li ZHANG ; Yaying ZHOU ; Bing SHAO ; Ying WANG ; Caixia XIE ; Yanfeng YAO ; Jingjing AN ; Wen SHI ; Xiongtao LIU ; Xiaoyan AN ; Ning NAN ; Lan LI ; Xiaohui GOU ; Qiaomei LI ; Xiuting WU ; Yuqin ZHANG ; Jing LIU ; Fusen XIANG ; Xu XU ; Na MEI ; Jiao ZHOU ; Shan FAN ; Qian WANG ; Shuixia LI
Chinese Journal of Trauma 2025;41(2):138-147
Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.
7.Lymphocytes and renal fibrosis
Siqi LI ; Luping SHAO ; Yufei YANG ; Ying XU
Chinese Journal of Immunology 2025;41(8):2046-2048,后插1-后插2
Renal fibrosis is a critical factor in progression of chronic kidney disease to end-stage renal disease.Underlying mechanisms driving renal fibrosis remain unclear.Lymphocytes play a pivotal and dual role in initiation and progression of renal fibro-sis.Through secretion of cytokines and chemokines,as well as direct cell-cell interactions,lymphocytes can exert profibrotic effects while also demonstrating antifibrotic potential under certain conditions.This review aims to summarize current research advances regarding interplay between lymphocytes and renal fibrosis and to explore their potential applications in antifibrotic therapies.
8.Effects of genetic risk of insulin resistance and triglyceride index on risk of cardiovascular disease
Ying PAN ; Shuting LIU ; Haoyu GU ; Mengjie ZHAO ; Zhiping XU ; Yun TANG ; Min HUANG ; Yueqing HUANG ; Kaixin ZHOU ; Jian SHAO ; Shao ZHONG
Chinese Journal of Geriatrics 2025;44(5):643-649
Objective:By analyzing the genetic risk of triglyceride-glucose index(Tyg)and insulin resistance(IR)for cardiovascular disease(CVD), to elucidate the extent to which the contribution of Tyg to the risk of CVD development is influenced by IR genetic risk.Methods:In this study, we selected data from a cohort of elderly people in the Kunshan community, screened 7, 385 individuals with both clinical and genomic data, and calculated the polygenic risk score of insulin resistance(IRPRS)for each participant based on publicly available IR genome-wide association data, and assessed the effect of genetic risk and Tyg level on the risk of developing CVD using a multivariate Cox proportional risk model.Calculating interactions to assess the effects of genetic risk and Tyg levels on the risk of developing CVD, the effects of Tyg tertile grouping and IRPRS on the risk of developing CVD were assessed using a multivariate Cox proportional risk model, and subgroup analyses were performed for gender to assess the effects of Tyg tertile grouping and IRPRS on the risk of developing CVD by gender.Results:In the univariate Cox model, Q3 and IRPRS with the highest TYG levels were significantly associated with the risk of CVD, respectively( HR=1.59, 95% CI: 1.33-1.89; P<0.001; HR=1.61, 95% CI: 1.18-2.20; P=0.003).After adjusting for multiple confounders, the Q3 Group with the highest TYG level was still significantly associated with the risk of CVD( HR=1.28, 95% CI: 1.05-1.57; P=0.014), the Association of TYG with the risk of CVD did not change significantly( HR=1.29, 95% CI: 1.05-1.57; P=0.014).We conducted a subgroup analysis by sex and found that among older men, 13, the highest levels of TYG and IRPRS were significantly associated with CVD risk, respectively( HR=1.70, 95% CI: 1.31.2.20; P<0.001; HR=1.98, 95% CI: 1.24-3.15; P=0.004).After adding IRPRS to the model, the Association of TYG with the risk of CVD remained unchanged( HR=1.69, 95% CI: 1.31-2.19; P<0.001).After adjusting for various confounders, Tyg remained significantly associated with the risk of CVD( HR=1.39, 95% CI: 1.04-1.88; P=0.028), the results showed that TYG remained significantly associated with the risk of CVD( HR=1.41, 95% CI: 1.05-1.90; P=0.023), and the association did not decrease.No Association of IRPRS with CVD risk was found in older women. Conclusions:IRPRS and TYG are the risk factors of CVD, and diet, exercise, drugs and other external factors on TYG are the main risk factors of CVD.For individuals with high genetic factors, the risk of CVD can still be reduced by lifestyle adjustments such as diet, exercise and drug intervention.
9.Expert consensus on intraoperative repositioning for patients with spine fracture and dislocation (version 2025)
Dongmei BIAN ; Ke SUN ; Ningbo CHEN ; Caixia BAI ; Miao WANG ; Yafeng QIAO ; Fei WANG ; Hong WANG ; Feng TIAN ; Mei YAN ; Meng BAI ; Linjuan ZHANG ; Liyan ZHAO ; Yaqing CUI ; Xue JIANG ; Leling FENG ; Ning NING ; Junqin DING ; Lan WEI ; Yonghua ZHAI ; Yu ZENG ; Zengmei ZHANG ; Jiqun HE ; Fenggui BIE ; Hong CHEN ; Zengyan WANG ; Li LI ; Li ZHANG ; Yaying ZHOU ; Bing SHAO ; Ying WANG ; Caixia XIE ; Yanfeng YAO ; Jingjing AN ; Wen SHI ; Xiongtao LIU ; Xiaoyan AN ; Ning NAN ; Lan LI ; Xiaohui GOU ; Qiaomei LI ; Xiuting WU ; Yuqin ZHANG ; Jing LIU ; Fusen XIANG ; Xu XU ; Na MEI ; Jiao ZHOU ; Shan FAN ; Qian WANG ; Shuixia LI
Chinese Journal of Trauma 2025;41(2):138-147
Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.
10.A reporter gene assay for determining antibody-dependent cell-mediated phagocytosis activity of HER2-targeted antibody drug conjugate.
Ying CHEN ; Can WANG ; Qin ZHAO ; Mingren WANG ; Tiantian LI ; Shanshan DONG ; Hong SHAO ; Weidong XU
Chinese Journal of Biotechnology 2025;41(8):3122-3130
To develop a method for determining the antibody-dependent cell-mediated phagocytosis (ADCP) activity of human epidermal growth factor receptor 2 (HER2)-targeted antibody drug conjugate (ADC) based on the reporter gene assay, we established an ADCP activity assay with Jurkat/NFAT/FcγRIIa cells as the effector cells and BT474 as the target cells. Then, the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were optimized by the method of design of experiment (DOE). The method showed a significant dose-response relationship, which was complied with the four-parameter equation: y=(A-D)/[1+(x/C)B]+D. The durability ranges of the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were (2.5-4.0)×105 cells/mL, 3-5, 1.0-2.0 h, 0 h, and 5.0-6.0 h, respectively. The results of the methodological validation showed that the linear equation was y=1.106 8x-0.011 6, r=0.969 2. The established method showed the relative accuracy ranging from -6.59% to 2.98% and the geometric coefficient of variation less than 11% in the intermediate precision test. Furthermore, the method was target-specific. The method was then applied to the determination of ADCP activity of HER2-targeted ADC, demonstrating the result of (103.5±5.7)%. We developed a reporter gene assay for determining the ADCP activity of HER2-targeted ADC and the assay demonstrated high accuracy and good reproducibility, which proposes a highly efficient and approache for evaluating ADCP effect of this HER2-targeted ADC, and also provides a referable technique for characterizing the Fc effector functions of ADCs with diverse targets.
Humans
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Receptor, ErbB-2/immunology*
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Phagocytosis/drug effects*
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Immunoconjugates/immunology*
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Genes, Reporter
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Antibody-Dependent Cell Cytotoxicity
;
Jurkat Cells

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