1.Effects of Jishe Qushi Capsule (脊蛇祛湿胶囊) on Serum NETs Levels and Macrophage Polarization in Collagen-Induced Arthritis Model Rats
Nina REN ; Wukai MA ; Yi LING ; Xueming YAO ; Ying HUANG ; Daomin LU ; Changming CHEN ; Weichen HUANG
Journal of Traditional Chinese Medicine 2026;67(1):60-68
ObjectiveTo investigate the possible mechanism of Jishe Qushi Capsule (脊蛇祛湿胶囊, JQC) in treating rheumatoid arthritis (RA) from the perspective of macrophage polarization mediated by neutrophil extracellular traps (NETs). MethodsTwenty-four female SD rats were randomly divided into four groups, blank control group, model group, JQC group, and peptidylarginine deiminase 4 (PAD4) inhibitor group with 6 rats in each group. All groups but the blank control group were subjected to the induction of collagen-induced arthritis (CIA). After successful model establishment, rats in the JQC group received intragastric administration of JQC 1.47 g/kg daily; rats in the PAD4 inhibitor group received intraperitoneal injections of the PAD4 inhibitor 4 mg/kg weekly. Rats in the blank, model, and PAD4 inhibitor groups received 2 ml of pure water daily by gavage. All treatments lasted 4 weeks. Joint lesions of each group were assessed on day 7, 14, 21, 28, and 35 after model establishment, and arthritis index (AI) scores were recorded. At 24 h after the final administration, histopathology of knee joints, including HE staining, safranin O-fast green staining, and TRAP staining, was performed. Flow cytometry was used to detect the counts of M1 and M2 macrophages in peripheral blood. ELISA was used to determine serum levels of TRACP, NETs, TNF-α, IL-1β, and iNOS. Western Blotting and qRT-PCR were used to measure MPO, NE, RANKL, OPG, and p65 protein and mRNA expression in knee cartilage tissue. ResultsCompared with the blank control group, the model group showed increased AI scores (P<0.05), marked synovial inflammatory infiltration, angiogenesis, and bone-cartilage destruction, increased TRAP-positive osteoclasts, increased M1 macrophages and decreased M2 macrophages, elevated serum TRACP, NETs, TNF-α, IL-1β, and iNOS (P<0.05), elevated MPO, NE, RANKL, and p65 protein/mRNA expression and decreased OPG protein/mRNA expression in knee cartilage tissue (P<0.05). Compared with the model group, the JQC group exhibited improved synovial inflammation, angiogenesis, and bone-cartilage damage, reduced AI scores on day 21, 28, and 35, decreased osteoclast counts, decreased M1 macrophages and increased M2 macrophages, reduced serum TRACP, NETs, TNF-α, IL-1β, and iNOS (P<0.05), decreased MPO, NE, RANKL, and p65 protein/mRNA expression and increased OPG expression (P<0.05). Compared with the PAD4 inhibitor group, the JQC group showed significantly lower AI scores, reduced M1 macrophages, increased M2 macrophages (P<0.05), reduced serum TRACP, TNF-α, IL-1β, and iNOS, decreased MPO, RANKL, and p65 expression, and increased OPG levels (P<0.05). ConclusionThe therapeutic mechanism of JQC for RA may involve inhibition of NETs formation, downregulation of the RANKL/NF-κB signaling pathway, and regulation of macrophage M1/M2 polarization imbalance, thereby suppressing osteoclastogenesis and inflammatory bone destruction.
2.Epidemiological characteristics and spatial-temporal clustering of varicella in Changchun City from 2020 to 2024
WU Hui ; XU Qiumin ; REN Zhixing ; YIN Yuan ; ZHAI Qianqian ; YAO Laishun
Journal of Preventive Medicine 2026;38(1):66-70,74
Objective:
To investigate the epidemiological characteristics and spatial-temporal clustering of varicella in Changchun City from 2020 to 2024, so as to provide the evidence for formulating local varicella prevention and control measures.
Methods:
The individual case data of varicella were collected through the Surveillance and Reporting Management System of the Chinese Disease Prevention and Control Information System in Changchun City from 2020 to 2024. Descriptive epidemiological methods were used to analyze the population ,regional, and temporal distribution. Spatial autocorrelation and spatio-temporal scanning analyses were used to identify the spatial-temporal clustering characteristics.
Results:
A total of 8 850 varicella cases were reported in Changchun City from 2020 to 2024, with an average annual incidence of 19.64/105. There were 4 929 male cases and 3 921 female cases, with a male-to-female ratio of 1.26∶1. The age was mainly 0-<20 years (6 649 cases, 75.13%), and students were the predominant occupation (6 036 cases, 68.20%). The top three counties (cities, districts) with the highest number of cases were Chaoyang District (1 944 cases), Gongzhuling City (1 054 cases) and Nanguan District (987 cases), accounting for 45.03%. The peak incidence periods were from April to June and from October to December, with 2 166 and 4 226 cases, accounting for 24.47% and 47.75%, respectively. Spatial autocorrelation analysis showed that spatial clustering existed from 2020 to 2024. The high-high clustering areas were mainly some townships (streets) in Chaoyang District, Nanguan District, Changchun New District and Jingyue District. Spatio-temporal scanning analysis identified 6 high-risk clustering areas. The class Ⅰ clustering area was Nanhu Street in Chaoyang District, with the clustering period from September 2020 to February 2022.
Conclusions
Varicella cases in Changchun City were mainly males and students aged 0-<20 years from 2020 to 2024. The peak incidence was mainly in winter. Chaoyang District was a high-risk area, with obvious spatial-temporal clustering.
3.Disposal of the first imported case of Zika virus disease in Shanghai
Jixing YANG ; Zhenzhen QI ; Xiaofan REN ; Liang HONG ; Hong YAO ; Shenghua MAO
Shanghai Journal of Preventive Medicine 2026;38(4):270-273
ObjectiveTo describe the disposal process of the first imported case of Zika virus disease in Shanghai, and to provide a reference for the prevention and control of imported infectious diseases in the future. MethodsA retrospective review was conducted of the process by which epidemiological investigation, etiological testing, and case management were performed by the Shanghai municipal-and district-level Centers for Disease Control and Prevention (CDC) after one imported case of Zika virus disease was identified by Shanghai Customs. ResultsOn April 8th, 2025, customs authority at a certain airport in Shanghai identified a febrile inbound case (case A, female, 40 years old). An antecubital venous blood specimen was obtained and analyzed by nucleic acid testing for various vector-borne pathogens, by which Zika virus nucleic acid was found to be positive. On 9 April, the district CDC collected antecubital venous blood specimens again from Case A and her three accompanying travelers (B, C, and D), and nucleic acid testing was conducted for multiple mosquito-borne infectious diseases. Case A again tested positive for Zika virus nucleic acid, while Traveler D (male, aged 6 years) tested positive for dengue virus nucleic acid. The other two travelers tested negative. Case A and Traveler D were subsequently transferred to a designated district hospital for isolation and treatment. After discharge, both cases left China and returned to their overseas residence. ConclusionCase A was the first imported case of Zika virus disease in Shanghai. For cases with a history of living in endemic areas of multiple infectious diseases such as dengue virus, Zika virus and chikungunya virus, it is necessary to carry out rapid testing of multiple pathogens simultaneously to prevent missed diagnosis or misdiagnosis.
4.Development of a risk prediction score scale for late-onset sepsis in very low birth weight infants
Qianwen XIA ; Dan LI ; Lili YAO ; Yi GONG ; Mengfan QIU ; Fan WAN ; Yaoyao DONG ; Ruolin REN ; Yalan DOU ; Lin YUAN ; Xiaojing HU
Chinese Pediatric Emergency Medicine 2025;32(3):161-169
Objective:To analyze the predictive factors associated with late-onset sepsis(LOS) in very low birth weight infants,and to develop a risk prediction score scale applicable to these infants three days postnatal.This will provide valuable insights for early diagnosis and timely intervention.Methods:Very low birth weight infants admitted to the Children's Hospital of Fudan University from January 1,2022,to June 30,2024,were selected as research subjects.These infants were categorized into two groups:the LOS group and the non-LOS group,based on whether they developed LOS.LASSO regression analysis,alongside univariate and multivariate regression analyses,was employed to identify predictive factors for LOS in this population.A Logistic model was constructed using the optimal combination of predictive variables,and a risk assessment scale was subsequently developed.The prediction performance of the model was evaluated using the Hosmer-Lemeshow chi-square test and the receiver operating characteristic curve.Results:A total of 444 cases of very low birth weight infants were included,of which 185 had LOS and 259 did not.After screening the variables,seven independent factors were included into the model:birth weight,gestational age,tracheal intubation,abnormal skin color,abdominal distension,elevated C-reactive protein levels,and right hand perfusion index.A predictive scoring scale was developed based on the regression coefficients of each variable,with corresponding risk scores assigned as follows:1,4,3,2,1,1,and 2; a score of ≥3.5 indicated high-risk groups.The Hosmer-Lemeshow test results demonstrated that χ2 = 7.602( P = 0.473).The area under the receiver operating characteristic curve was 0.792 ( P<0.001),with a sensitivity of 73.5% and specificity of 71.0%. Conclusion:The risk score scale developed in this study exhibits significant predictive capability,providing valuable insights for clinical medical personnel to assess the risk of LOS in very low birth weight infants during the early postnatal period.
5.Value of ultra-high-resolution photon-counting detector CT in improving neurovascular image quality
Guang YAO ; Jun LI ; Junli REN ; Xing LIU ; Lichen REN ; Yiran WANG ; Xiaolei ZHANG ; Jiawei LIU ; Jianbo GAO ; Yonggao ZHANG
Chinese Journal of Radiology 2025;59(12):1353-1360
Methods:This study was a cross-sectional study. A prospective cohort study enrolled 42 patients with clinically suspected acute cerebrovascular disease and those undergoing follow-up examinations after intracranial vascular stenting at the First Affiliated Hospital of Zhengzhou University from June 2024 to May 2025. All patients underwent UHR PCD-CT examinations of the head and neck. Reconstructions were performed based on raw data, yielding conventional standard resolution (SR group) reconstructions and UHR images reconstructed using four distinct convolution kernels (Hv40, Hv48, Hv56, Hv64) in separate groups (Hv40 UHR group, Hv48 UHR group, Hv56 UHR group, Hv64 UHR group). Regions of interest were selected in the anterior cerebral artery, middle cerebral artery, posterior cerebral artery, posterior communicating artery, and anterior communicating artery. CT values and standard deviation (SD) values were measured for each artery, and signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Additionally, the sharpness of the vessel edges and the full-width-half-maximum (FWHM) of each artery were measured. One-way analysis of variance or the nonparametric Kruskal-Wallis test was used to compare the subjective and objective image quality metrics across the five groups. Pairwise comparisons were performed using the LSD test or Dunn method.Results:Statistically significant differences were observed in the overall comparison of vascular imaging SD, SNR, CNR, vascular edge sharpness, and FWHM among the SR group, Hv40 UHR group, Hv48 UHR group, Hv56 UHR group, and Hv64 UHR group ( P<0.05). No statistically significant differences in CT values were found ( P>0.05). Pairwise comparisons revealed statistically significant differences between all groups ( P<0.05), except that no significant differences were observed in image SD, SNR, CNR, vascular edge sharpness, or FWHM between the Hv56 UHR and Hv64 UHR groups ( P>0.05). Conclusions:UHR PCD-CT provides better image quality for neurovascular imaging. For the display of small intracranial vessels, the Hv64 provides sharper vessel walls and better subjective image quality compared to the less sharp convolutional cores.Objective:To explore the value of ultra-high resolution (UHR) photon-counting detector CT (PCD-CT) to improve the quality of neurovascular images.
6.Analysis of Drug Resistance Risk Factors and Construction and Validation of a Stratified Prediction Model in Elderly Patients with Pulmonary Tuberculosis
Rui KANG ; Gai-yan REN ; Yang-yang YAO ; Yan-mei ZHAO ; Fen-fen WANG
Progress in Modern Biomedicine 2025;25(16):2622-2629
Objective:To analyze the drug resistance status and related risk factors in elderly patients with pulmonary tuberculosis,and to construct and validate a drug resistance risk prediction model for elderly pulmonary tuberculosis patients,providing evidence for early clinical identification of high-risk populations.Methods:A retrospective study was conducted,consecutively enrolling 315 pulmonary tuberculosis patients aged ≥60 years from January 2019 to December 2021.Based on drug susceptibility test results,patients were divided into drug-resistant group(85 cases)and drug-sensitive group(230 cases).Data on demographic characteristics,clinical manifestations,comorbidities,imaging features,and previous treatment history were collected.Univariate and multivariate logistic regression analyses were performed to identify drug resistance-related factors,and a prediction model was constructed accordingly.The model was internally validated using the concordance index(C-index)and Bootstrap method.Results:Among 315 elderly pulmonary tuberculosis patients,the drug resistance rate was 26.98%,predominantly mono-resistance(48.24%)and multidrug-resistance(28.24%).Multivariate logistic regression analysis showed that previous anti-tuberculosis treatment history[OR=4.537,95%CI(1.962-10.498),P=0.005],diabetes mellitus[OR=3.286,95%CI(1.547-6.979),P=0.002],pulmonary cavitation[OR=4.158,95%CI(1.926-8.973),P<0.001],pleural effusion[OR=2.563,95%CI(1.218-5.390),P=0.013],and tracheobronchial tuberculosis[OR=2.819,95%CI(1.352-5.876),P=0.006]were independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors had a C-index of 0.815(95%CI:0.762-0.868).Conclusion:The drug resistance rate is high among elderly pulmonary tuberculosis patients.Previous anti-tuberculosis treatment history,diabetes mellitus,pulmonary cavitation,pleural effusion,and tracheobronchial tuberculosis are independent risk factors for drug resistance in elderly pulmonary tuberculosis.The prediction model constructed based on these factors has good predictive value for identifying high-risk populations,which is helpful for early clinical intervention and individualized treatment strategy formulation.
7.Antimicrobial resistance surveillance in the bacterial strains isolated from pediatric intensive care units in China:results from 2020 to 2022
Jing LIU ; Huiyuan YAN ; Gangfeng YAN ; Guoping LU ; Pan FU ; Chuanqing WANG ; Danqun JIN ; Wenjia TONG ; Chenyu ZHANG ; Jianli CHEN ; Yi LIN ; Jia LEI ; Yibing CHENG ; Qunqun ZHANG ; Kaijie GAO ; Yuanyuan CHEN ; Shufang XIAO ; Juan HE ; Li JIANG ; Huimin XU ; Yuxia LI ; Hanghai DING ; Hehe CHEN ; Yao ZHENG ; Qunying CHEN ; Ying WANG ; Hong REN ; Chenmei ZHANG ; Zhenjie CHEN ; Mingming ZHOU ; Yucai ZHANG ; Yiping ZHOU ; Zhenjiang BAI ; Saihu HUANG ; Lili HUANG ; Weiguo YANG ; Weike MA ; Qing MENG ; Pengwei ZHU ; Yong LI ; Yan XU ; Yi WANG ; Yanqiang DU ; Huijun CAI ; Bizhen ZHU ; Huixuan SHI ; Shaoxian HONG ; Yukun HUANG ; Meilian HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):303-311
Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2%)and gram-negative organisms(60.8%).The top three organisms were S.aureus(13.6%,1 453/10 688),A.baumannii(10.0%,1 067/10 688),and coagulase-negative Staphylococcus(9.9%,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1%,19.4%,8.8%,30.9%,67.4%,and 28.8%,respectively.Overall,more than 50%of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25%of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80%of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3%in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.
8.Antimicrobial resistance surveillance in the bacterial strains isolated from pediatric intensive care units in China:results from 2020 to 2022
Jing LIU ; Huiyuan YAN ; Gangfeng YAN ; Guoping LU ; Pan FU ; Chuanqing WANG ; Danqun JIN ; Wenjia TONG ; Chenyu ZHANG ; Jianli CHEN ; Yi LIN ; Jia LEI ; Yibing CHENG ; Qunqun ZHANG ; Kaijie GAO ; Yuanyuan CHEN ; Shufang XIAO ; Juan HE ; Li JIANG ; Huimin XU ; Yuxia LI ; Hanghai DING ; Hehe CHEN ; Yao ZHENG ; Qunying CHEN ; Ying WANG ; Hong REN ; Chenmei ZHANG ; Zhenjie CHEN ; Mingming ZHOU ; Yucai ZHANG ; Yiping ZHOU ; Zhenjiang BAI ; Saihu HUANG ; Lili HUANG ; Weiguo YANG ; Weike MA ; Qing MENG ; Pengwei ZHU ; Yong LI ; Yan XU ; Yi WANG ; Yanqiang DU ; Huijun CAI ; Bizhen ZHU ; Huixuan SHI ; Shaoxian HONG ; Yukun HUANG ; Meilian HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):303-311
Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2%)and gram-negative organisms(60.8%).The top three organisms were S.aureus(13.6%,1 453/10 688),A.baumannii(10.0%,1 067/10 688),and coagulase-negative Staphylococcus(9.9%,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1%,19.4%,8.8%,30.9%,67.4%,and 28.8%,respectively.Overall,more than 50%of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25%of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80%of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3%in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.
9.Establishment and preliminary testing of a double antibody sandwich ELISA method for Brucella detection
Meng-xin YAO ; Ze-yu PENG ; Wen-hao REN ; Yi-mei XU ; Wei GUO ; Chuang-fu CHEN ; Zhong-chen MA ; Yong WANG
Chinese Journal of Zoonoses 2025;41(3):255-262
This study was aimed at establishing a sensitive and specific sandwich ELISA detection method for Brucella.We screened monoclonal capture antibodies and detection antibodies for Brucella detection,and optimized and determined the opti-mal antibody coating time and concentration,as well as the optimal blocking solution,blocking time,and yin-yang critical val-ue.The specificity of this method was verified by examination of other bacteria prone to cross-reacting with Brucella.The sen-sitivity of the method was verified by detection of a gradient dilution of inactivated Brucella.Moreover,the sandwich ELISA detection results were compared with test tube agglutination and qPCR results.The selected capture antibody was 4A12,and the selected detection antibody was 6C12.Experimental analysis indicated that the optimal coating concentration for the 4A12 capture antibody was 5 μg/mL,and the optimal dilution ratio for the 6C12 detection antibody was 1∶2000.The optimal coating conditions were overnight at 4℃,and blocking with 5%skim milk powder for 2 hours.The established double antibody sand-wich ELISA method reacted with only Brucella but not other bacteria,thus demonstrating the method's good specificity.Inac-tivated Brucella solution was still detectable after dilution to 1 × 105 CFU/mL,thus demonstrating the method's good sensitiv-ity.The intra-and inter batch coefficients of variation were both below 10%,thus indicating the method's good repeatability.Thus,this study successfully established a dual antibody sandwich ELISA method for Brucella detection,which has good spe-cificity and sensitivity,and might provide an effective approach for the precise diagnosis and effective prevention and control of brucellosis.
10.Association of 41 circulating interleukins and growth factors with risk of seronegative rheumatoid arthritis:A Mendelian randomization study
Yi LING ; Nina REN ; Qiuyi WANG ; Xueming YAO ; Wukai MA
Chinese Journal of Immunology 2025;41(9):2081-2086
Objective:To explore the association of serum levels of 41 serum cytokines and growth factors with the risk of sero-negative rheumatoid arthritis(SNRA)by Mendelian randomization.Methods:Genetic instruments for 41 circulating cytokines and growth factors were determined from a genome-wide association study(GWAS)of 8 293 European participants.Summary statistics for the SNRA were obtained from the Finnish database,including 3 877 SNRA cases and 285 035 controls of European ancestry.All of the inverse variance weighted(IVW),weighted median method(WM)and MR-Egger regression were used for MR analysis,while the IVW method was considered as the main analysis.The sensitivity analysis included a heterogeneity test,horizontal pleiotropic test,and leave-one method test to determine the reliability of the MR results.Results:In the IVW method,TNF-α[OR=1.470,95%CI(1.1331~1.910),P=0.004],IP-10[OR=0.794,95%CI(0.660~0.955),P=0.015]and IL-2rα[OR=0.049,95%CI(0.856~0.999),P=0.049].Sensitivity analysis showed no heterogeneity and horizontal pleiotropy.Conclusion:TNF-α,IP-10 and IL-2rα are causally associated to SNRA.TNF-α increases the risk of SNRA,while IP-10 and IL-2rα reduce the risk of SNRA.


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