1.Performance comparison of domestic and imported CD3/CD28 activation beads for CAR-T cell manufacturing
WEI Xianzheng1,2,3 ; ZHANG Shuyu1,2,3 ; JIN Yuhang1,2,3 ; WANG Pu1,2,3, ; WANG Xu1,2,3 ; ZHENG Junnian2,3 ; LIU Dan1,2,3 ; SHI Ming1,2,3
Chinese Journal of Cancer Biotherapy 2025;32(5):492-497
[摘 要] 目的:比较国产与进口CD3/CD28激活磁珠制备的CAR-T细胞的性能差异,为国内CAR-T细胞研发和生产提供备用或替代方案。方法:以进口CD3/CD28激活磁珠︰CD3+ T细胞比例为1∶1的成熟方案作为研究对照,国产磁珠设置1∶2、1∶1和2∶1的比例梯度激活T细胞,T细胞激活72 h后使用CAR慢病毒感染制备CAR-T细胞。分别在慢病毒感染后的第2、4、7天计数,监测CAR-T细胞增殖情况;感染5 d后采用流式细胞术检测CAR-T细胞阳性率;感染8 d后采用流式细胞术检测CAR-T细胞的CD4/CD8分型情况和PD1+ TIM3+耗竭细胞比例。结果:国产CD3/CD28激活磁珠与进口磁珠制备的CAR-T细胞CD4/CD8分型相似,CAR-T细胞阳性率略低于进口磁珠(53.7% vs 57.9%),但CAR-T细胞扩增较进口磁珠增加1倍左右,耗竭水平仅为进口磁珠的一半(4.21% vs 7.91%)。此外,国产磁珠的使用量低于进口磁珠,有利于降低CAR-T细胞研发和生产成本。结论:国产CD3/CD28激活磁珠用于制备CAR-T细胞总体性能不劣于进口磁珠,有潜力作为进口磁珠的备用或替代方案。
2.Clinical characteristics and risk factors for adverse outcomes in omphalocele
Wei SHI ; Mingyu HAN ; Zheng CHEN ; Xiaoying CHENG ; Junjin CHEN ; Peng WANG ; Jinfa TOU ; Liping SHI ; Xiaolu MA
Chinese Journal of Pediatrics 2025;63(1):43-49
Objective:To investigate the clinical characteristics of omphalocele, and to assess the risk factors associated with adverse outcomes.Methods:A retrospective cohort study was conducted. Clinical data of 224 patients diagnosed with omphalocele, who were hospitalized at Children′s Hospital, Zhejiang University School of Medicine from January 2013 to December 2022, were collected. Based on their discharge outcomes, the patients were classified into 2 groups: favorable outcomes and unfavorable outcomes. Chi-square test or continuity correction χ2 test or Fisher exact probability method, and Mann-Whitney U test were used for intergroup comparisons. Logistic regression analysis was performed to identify risk factors associated with adverse outcomes in omphalocele. Results:Among the 224 patients with omphalocele, 126 were male. A total of 208 patients (92.9%) had favorable outcomes, while 16 patients (7.1%) had unfavorable outcomes. In the unfavorable outcomes group, 14 patients had giant omphaloceles, while 100 patients had giant omphaloceles in the favorable outcomes group. The rates of herniation of more than two intra-abdominal organs in the hernial sac, congenital heart defects, patent ductus arteriosus, pulmonary hypertension, sepsis and infection of the hernial sac, were all higher in the unfavorable outcomes group compared to the favorable outcomes group (all P<0.05). Patients with unfavorable outcomes had longer mechanical ventilation time, duration of oxygen use, duration of parenteral nutrition, hospital stays, and higher rates of parenteral nutrition-associated cholestasis compared to those with favorable outcomes (all P<0.01). Multivariate Logistic regression analysis indicated that pulmonary hypertension ( OR=9.39, 95% CI 1.20-73.32), sepsis ( OR=8.59, 95% CI 1.32-55.86), and congenital heart defects ( OR=6.55, 95% CI 1.11-38.73) were all independent risk factors for adverse outcomes in omphalocele (all P<0.05). Conclusions:Infants with omphalocele are prone to complications such as cardiovascular malformations, infections, and pulmonary hypertension. Adverse outcomes in omphalocele are associated with pulmonary hypertension, sepsis, and congenital heart defects.
3.Chemical consitituents and hypoglycemic activity of Qinhuai No. 1 Rehmannia glutinosa
Meng YANG ; Zhi-you HAO ; Xiao-lan WANG ; Chao-yuan XIAO ; Jun-yang ZHANG ; Shi-qi ZHOU ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2025;60(1):205-210
Eight compounds were isolated and purified from the ethyl acetate part of 70% acetone extract of
4.Construction and evaluation of a "disease-syndrome combination" prediction model for pulmonary nodules based on oral microbiomics
Yifeng REN ; Shiyan TAN ; Qiong MA ; Qian WANG ; Liting YOU ; Wei SHI ; Chuan ZHENG ; Jiawei HE ; Fengming YOU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(08):1105-1114
Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.
5.Preliminary Construction of Comprehensive Evaluation System for TCM Clinical Practice Guidelines Based on Bibliometric Analysis and Core Element Extraction
Xue CHEN ; Gezhi ZHANG ; Danping ZHENG ; Fangqi LIU ; An LI ; Junjie JIANG ; Nannan SHI ; Wei YANG ; Xinghua XIANG ; Mengyu LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(24):209-219
ObjectiveTo construct a comprehensive evaluation indicator system for clinical practice guidelines of traditional Chinese medicine (TCM) that is scientific, systematic, and reflects the characteristics of TCM. MethodsA systematic search was conducted in Chinese and English databases, including CNKI, Wanfang, VIP, SinoMed, PubMed, Embase, and Cochrane Library, to include literature on domestic and international guideline evaluation tools and TCM-related research. Document analysis and CiteSpace were utilized for keyword co-occurrence and clustering analysis. ResultsA total of 65 relevant studies were included, from which seven core thematic domains were identified. Based on the research objectives, a two-step construction strategy was adopted: first, an external evaluation framework was established by referencing international tools to cover methodological rigor and procedural standardization; second, an internal evaluation framework was developed to reflect the distinctive features of TCM clinical practice, including syndrome differentiation and efficacy feedback. Through expert consensus, the indicator system was refined, resulting in a dual-layered structure comprising 8 primary indicators, 22 secondary indicators, and 62 evaluation criteria. ConclusionThe comprehensive evaluation system for TCM clinical practice guidelines, based on bibliometric analysis and core element extraction, integrates both theoretical integrity and practical applicability. This study provides a preliminary research foundation for further optimization, validation, and development of a refined comprehensive evaluation system.
6.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
7.Research progress in sialic acid-binding immunoglobulin-like lectins in bacterial infectious diseases
Yue-Yue HE ; Yue-Jie ZHU ; Yi-Chen FAN ; Zheng-Wei YIN ; Juan SHI ; Feng-Bo ZHANG ; Jian-Bing DING
Chinese Journal of Zoonoses 2024;40(8):790-795
Sialic acid-binding immunoglobulin-like lectins(Siglecs)are expressed on most white blood cells and play a key role in signal transduction of immune cells.Recent studies have shown that many bacterial pathogens regulate the host immune response through the interaction between sialic acid(Sia)and Siglecs,thereby influencing the occurrence and development of diseases.Understanding bacterial pathogenic mechanisms is essential to identify potential effective therapeutic targets and help manage bacterial infectious diseases.Herein,the structure,biological function,and research progress in Siglecs in bacterial in-fectious diseases are briefly reviewed.
8.New evaluation of brucellosis vaccines and their adjuvant applications
Juan SHI ; Yue-Jie ZHU ; Zheng-Wei YIN ; Yue-Yue HE ; Feng-Bo ZHANG
Chinese Journal of Zoonoses 2024;40(8):796-806
Brucellosis is one of the most significant infectious diseases affecting both humans and animals.It poses a consid-erable risk to human health and the advancement of animal husbandry.Vaccination has emerged as a highly effective strategy for preventing and controlling brucellosis infection.Currently,numerous live attenuated vaccines for animals are available on the market.Despite the lack of a vaccine for human use,research in the fields of genetic engineering and molecular bioinformat-ics has led to the development of a number of subunit vaccines,including DNA vaccines,multi-epitope vaccines,recombinant protein vaccines,and vector vaccines.Vaccine adjuvants have been developed to address the varying requirements of different immune responses.This paper will review the research progress of brucellosis vaccines and introduce the commonly used vac-cine adjuvants,with a view to providing new ideas for the development of subsequent vaccines.
9.A QCM Biosensor for Screening Arsenic(Ⅲ)Aptamers and Detecting Arsenic(Ⅲ)
Chu-Jun ZHENG ; Shi-Quan QIAN ; Xin-Pei LI ; Xu YAN ; Hai-Xuan HUANG ; Yu-Xuan WANG ; Yu-Wei YE ; Min YUAN
Chinese Journal of Biochemistry and Molecular Biology 2024;40(9):1282-1288
A quartz crystal microbalance(QCM)-systematic evolution of ligands by the exponential en-richment(SELEX)technique was developed to screen out aptamers with high affinity for arsenic(Ⅲ).A random single strand DNA library was designed and fixed on the mercaptoethylamine-modified crystal plate with arsenic(Ⅲ)as the target,and the free aptamer was captured in the solution,and the QCM-SELEX screening method was constructed.After 6 rounds of screening,the secondary library was se-quenced with high throughput method,and the 6S1 dissociation coefficient Kd value was 0.36 μmol/L based on QCM resonance frequency.Using 6S1 as a probe,the QCM biosensor was constructed for the detection of arsenic(Ⅲ).The sensor has a good linear relationship in the range of 0.01 μmol/L~0.2μmol/L,and the detection limit of arsenic(Ⅲ)is 5.2 nmol/L(3σ),indicatinggood selectivity.
10.SOD1 Inhibitor LCS-1 Induces Apoptosis in Diffuse Large B-Cell Lymphoma Cells
Journal of Experimental Hematology 2024;32(6):1726-1732
Objective:To investigate the expression of superoxide dismutase 1 (SOD1) in tumor tissue of patients with diffuse large B-cell lymphoma (DLBCL) and in DLBCL cell lines,to explore the effect of SOD1 inhibitor LCS-1 on proliferation and apoptosis of DLBCL cell lines and analyze its possible mechanisms of action. Methods:Immunohistochemistry assay was used to detect the expression level of SOD1 in DLBCL tissues and reactive lymph node hyperplasia tissues. The expression levels of SOD1 protein in DLBCL cell lines (TMD-8,OCI-Ly10,OCI-Ly18,OCI-Ly19) were detected by Western blot. After the DLBCL cell lines were treated with different concentrations of LCS-1,the cell proliferation activity was detected by CCK-8 assay,the expression levels of SOD1 protein was detected by Western blot,and the cell apoptosis was detected by TUNEL method. The genes enrichment of the SOD1 high expression group were analyzed by the KEGG database. Results:The expression levels of SOD1 in the tumor tissues of DLBCL patients and DLBCL cell lines TMD-8,OCI-Ly18,and OCI-Ly19 were significantly increased. SOD1 inhibitor LCS-1 showed a certain inhibitory effect on the activity of DLBCL cell lines TMD-8,OCI-Ly18,and OCI-Ly19 in a concentration-and time-dependent manner (r=0.730,r=0.929,r=0.976). After being treated with different concentrations of LCS-1,the expression level of SOD1 protein in OCI-Ly18 and OCI-Ly19 cell lines decreased in a concentration-dependent manner (r=0.860,r=0.970);LCS-1 significantly promoted the apoptosis of DLBCL cell lines OCI-Ly18 and OCI-Ly19 at a concentration of 3 μmol/L (P<0.001). KEGG enrichment analysis suggested that SOD1 may play an important role through oxidative phosphorylation (P=0.002,FDR=0.003) and ribosome (P=0.004,FDR=0.005) pathways in DLBCL. Conclusion:The expression levels of SOD1 in tumor tissues of DLBCL patients were significantly increased. As a SOD1 inhibitor,LCS-1 can significantly inhibit the viability and proliferation of DLBCL cell lines OCI-Ly18 and OCI-Ly19,and promote cell apoptosis,which provides a new idea for the treatment of DLBCL.

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