1.Research progress on the role of Piezo1 in dental and periodontal tissues
LI Wenyan ; MO Chaolun ; WANG Yajing ; FU Xuefei
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(6):595-605
Piezo1 is a Ca²⁺-permeable mechanosensitive ion channel that plays a central role in mechanosensing and signal transduction in dental and periodontal tissues. In tooth tissue, Piezo1 is a key factor mediating dentin sensitive pain. The flow of dentinal tubule fluid induced by external stimulation can activate the Piezo1 channel on odontoblasts, triggering neuronal signals through the pannexin-1-purinergic 2X3 receptor (PANX-1-P2X3) receptor axis, resulting in pain perception. In addition, Piezo1 has a dual regulatory role in the process of pulp inflammation and repair : on the one hand, its expression is up-regulated in an inflammatory environment, which may aggravate pain sensitivity ; on the other hand, it activates the migration, proliferation and odontogenic differentiation of dental pulp stem cells by mediating Ca²⁺influx, ATP release and downstream purinergic 2X7 receptor (P2X7R), MEK / ERK signaling pathways, thereby promoting reparative dentin formation. In periodontal tissue, Piezo1 plays a central role in maintaining periodontal tissue homeostasis and regulating alveolar bone remodeling by sensing mechanical stimuli such as bite force. During orthodontic tooth movement, Piezo1 promotes osteogenic differentiation by activating Wnt / Ca²⁺, Notch and other pathways on the tension side. It affects osteoclast activity by regulating receptor activator of nuclear factor-κB ligand/osteoprotegerin (RANKL/OPG) balance on the pressure side. At the same time, Piezo1 is also a key regulator of periodontal immune microenvironment. It is expressed in immune cells such as macrophages, neutrophils and dendritic cells. Its activation can promote the polarization of macrophages to pro-inflammatory M1 type, enhance the release of pro-inflammatory factors and matrix metalloproteinases, and thus aggravate the inflammatory destruction of periodontal tissue.In view of its multiple functions, Piezo1 has become a potential therapeutic target, including local or systemic application of its inhibitors, mechanical intervention, physical therapy, gene therapy and stem cell therapy, showing a broad clinical transformation prospect in the treatment of oral diseases. In this paper, the structural characteristics, signal transduction mechanism of Piezo1 and its expression distribution, function and regulatory network in tooth tissue and periodontal tissue are reviewed, so as to provide ideas for the development of oral disease treatment strategies targeting Piezo1.
2.The correlation between pathological risk score of gastric cancer and patient prognosis as well as tumor biological behavior
Zhiqiang DAI ; Mengxin TIAN ; Zhaoqing TANG ; Xuefei WANG ; Yihong SUN
Chinese Journal of Clinical Medicine 2026;33(3):386-395
Objective To explore the predictive role of pathological risk score of gastric cancer (PRSGC) in the prognosis of gastric cancer patients, and to further investigate the correlation between PRSGC and tumor biological behavior. Methods Clinicopathological data were retrospectively collected from 1 120 patients with gastric cancer who underwent surgical resection at Zhongshan Hospital, Fudan University, between April 2006 and November 2019. PRSGC was calculated using the previously established DeepRisk model, and patients were divided into high and low PRSGC groups (560 patients per group) based on the median PRSGC value. The proportions and spatial distances of immune cell subsets in gastric cancer tissues were assessed between the two groups. Data from stomach adenocarcinoma samples in The Cancer Genome Atlas was integrated to analyze PRSGC-associated genetic mutations and signaling pathways. Results The survival rate of the high PRSGC group was lower than that of the low PRSGC group, and the recurrence rate was higher than that of the low PRSGC group (P<0.000 1). Compared with the low-PRSGC group, the high-PRSGC group exhibited increased infiltration of regulatory T cells (Tregs) and neutrophils within the tumor region (P<0.05), while the infiltration levels of natural killer T cells and cytotoxic T cells were markedly decreased (P<0.05). Spatial analysis revealed that a shortened spatial distance between CD4+ T cells and Tregs was closely associated with poor prognosis in the high-PRSGC group (P=0.03). Furthermore, in the high-PRSGC group, the number of TIM3+ cells showed a positive correlation with the infiltration levels of Tregs (r=0.69, P=0.01), CD8+ T cells (r=0.61, P=0.04), and CD4+ T cells (r=0.67, P=0.02). Gene set enrichment analysis indicated that a high PRSGC was associated with the activation of pathways related to actin cytoskeleton regulation, the cGMP-PKG pathway, the Hippo pathway, and tumor proteoglycans. Conclusion A high PRSGC is associated with an immunosuppressive tumor microenvironment, as well as tumor invasion and metastasis. It effectively predicts the prognosis of patients with gastric cancer and, by doing so, provides a potential theoretical basis for developing individualized strategies that combine targeted therapy with immunotherapy.
3.Construction of a tumor-associated myeloid cell infiltration signature model based on LASSO-Cox regression for predicting postoperative overall survival in patients with gastric cancer
Leihao WANG ; Siyuan WANG ; Mengxin TIAN ; Qiangjun GAN ; Zhaoqing TANG ; Xuefei WANG
Chinese Journal of Clinical Medicine 2026;33(3):396-405
Objective To explore the impact of tumor-associated myeloid cell infiltration signatures on postoperative overall survival (OS) in patients with gastric cancer. Methods A retrospective analysis was performed on patients who underwent radical gastrectomy at Zhongshan Hospital, Fudan University from January 2005 to December 2019. Patients were randomly divided into a training set (n=167) and an internal validation set (n=168) at a 1:1 ratio. Meanwhile, 147 patients with gastric cancer treated at Zhongshan Hospital (Xiamen), Fudan University during the same period were enrolled as the external validation set (n=147). Immunohistochemistry was used in all patients to evaluate the distribution characteristics of 18 immune markers in three regions of gastric cancer tissues, namely primary tumor (PT), invasive margin (IM), and normal tissue (NT). These markers include 11 myeloid cell markers (CD11b, CD33, CD11c, CD14, CD15, CD16, CD68, CD86, CD163, CD206, and CD66b) and 7 immune checkpoints (CD73, IDO, LAG3, PD-1, SIGLEC9, SIRPA, and TIM3). LASSO regression and Cox proportional hazards model were applied to screen immune markers associated with postoperative OS in gastric cancer patients, and a predictive model for 1-, 3-, and 5-year postoperative OS was established. Data from the internal and external validation set were used for internal and external verification of the predictive model. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) was calculated to assess the discriminative ability of the model. Results In the training set, LASSO regression and Cox proportional hazards model identified 4 immune marker signatures (CD14_PT, CD15_PT, CD206_PT, and SIGLEC9_PT) to construct the predictive model. ROC curve analysis showed that the AUCs of the model for predicting 1-, 3-, and 5-year postoperative OS were 0.74, 0.75, and 0.84, respectively. When the model was applied to the internal and external validation sets, the AUCs for 1-, 3-, and 5-year postoperative OS were 0.74, 0.72, 0.72 (internal validation set) and 0.72, 0.71, 0.74 (external validation set), respectively. Cox multivariate regression analysis showed that the risk score was an independent risk factor for postoperative OS in patients with gastric cancer. Conclusion The model constructed based on LASSO-Cox regression exhibits good predictive performance and can effectively predict postoperative OS in gastric cancer patients, which may serve as a basis for intensive treatment of high-risk patients after surgery.
4.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.
5.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.
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.Mesenchymal stem cells and their derived extracellular vesicles target macrophages to intervene in autoimmune diseases
Lanxuan YAO ; Xuefei WANG ; Yang LIU ; Yujia YANG ; Yi ZHAO ; Fangfang QI ; Yinghui LI
Chinese Journal of Tissue Engineering Research 2025;29(31):6772-6781
BACKGROUND:Macrophages are an important part of innate immunity.When the internal environment of the body changes,macrophages can produce different polarization phenotypes and play the corresponding inflammatory immune function.Mesenchymal stem cells can secrete a large number of extracellular vesicles into the internal environment of the body,which have the functions of intercellular signaling and immune regulation.Studies have shown that mesenchymal stem cells and mesenchymal stem cells-extracellular vesicles can affect the M1/M2 polarization balance of macrophages so as to treat immune inflammatory diseases.OBJECTIVE:To explore the signaling mechanism of how mesenchymal stem cells and their extracellular vesicles interfere with autoimmune diseases by regulating the polarization of macrophages,as well as the related research progress of engineered extracellular vesicles in this field.METHODS:The first author searched the relevant literature published in PubMed,CNKI and other databases until June 2024.Chinese search terms were"mesenchymal stem cells,extracellular vesicles,exosomes,apoptotic bodies,apoptotic vesicles,macrophage polarization,M1 polarization,M2 polarization,autoimmune diseases,multiple sclerosis,rheumatoid arthritis,systemic lupus erythematosus,type 1 diabetes mellitus,inflammatory bowel disease,autoimmune dacryadenitis,engineered extracellular vesicles,engineering exosomes,drug delivery."English search terms were"macrophage polarization,M1 macrophage,M2 macrophage,autoimmune disease,type 1 diabetes,multiple sclerosis,rheumatoid arthritis,systemic lupus erythematosus,autoimmune dacryadenitis,inflammatory bowel disease,mesenchymal stem cells,extracellular vesicles,engineered extracellular vesicles,engineering exosomes,drug delivery."The title and abstract of each paper were read and initially screened.Finally,70 articles were selected for induction and analysis.RESULTS AND CONCLUSION:(1)Mesenchymal stem cells can regulate M1/M2 polarization by releasing or indirectly acting on functional proteins.(2)Mesenchymal stem cells can regulate macrophage M2 polarization through inflammasome.(3)Mesenchymal stem cells can be combined with commonly used drugs to enhance drug efficacy.(4)Mesenchymal stem cells can regulate the release of mesenchymal stem cells-extracellular vesicles after inflammatory stimulation and affect the polarization of macrophages.(5)Mesenchymal stem cells-extracellular vesicles can regulate autoimmune diseases by targeting macrophage polarization through PTEN,NOTCH,nuclear factor κB,Toll-like receptors,PI3K/AKT and other pathways.(6)Engineered extracellular vesicles can achieve non-invasive targeted drug delivery,prolong the half-life of drugs,promote the oral administration of exosomes,reduce allograft reaction,improve the bioavailability of Chinese herbs and overcome the blood-brain barrier,opening up a new path for drug delivery.
9.Feasibility study of a novel three-dimensional small intestinal submucosa patch in porcine hiatal hernia repair
Minxian ZHAO ; Xuefei ZHAO ; Pu WANG ; Pengfei WEI ; Yusheng NIE ; Huiqi YANG
Chinese Journal of General Surgery 2025;34(10):2168-2179
Background and Aims:Laparoscopic hiatal hernia repair(LHHR)is the gold-standard surgical treatment for hiatal hernia(HH),but postoperative recurrence remains a challenge due to hiatal enlargement and disruption of the phrenoesophageal ligament.This study aimed to assess the feasibility,safety,and short-term efficacy of a novel three-dimensional small intestinal submucosa(3D-SIS)patch designed for circumferential crural reinforcement and ligament-like reconstruction in a porcine LHHR model.Methods:Twelve healthy pigs(35-40 kg)were equally randomized into non-mesh group,SIS flat patch group,and 3D-SIS patch group.All animals underwent LHHR and Nissen fundoplication under general anesthesia.In the non-mesh group,the hiatal defect was closed with interrupted sutures.In the SIS flat patch group,a U-shaped SIS patch was placed posterior to the esophagus to reinforce the crura and fixed with medical glue.In the 3D-SIS patch group,an intraoperatively assembled three-dimensional patch was applied,consisting of an upper keyhole-shaped layer for circumferential diaphragmatic reinforcement,a tubular middle part encircling the abdominal esophagus,and a lower small keyhole-shaped patch covering the gastroesophageal junction,all fixed with medical glue.After 3 months,laparotomy was performed to assess recurrence,patch integration,and complications,followed by biomechanical and histological evaluations.Results:All procedures were completed successfully with no deaths or major complications.Operative time was slightly longer in the patch groups,while blood loss was similar.No hernia recurrence or patch migration was observed at 3 months.Biomechanical testing revealed higher ultimate load and Young's modulus in both SIS groups than in the non-mesh group.Histological analysis demonstrated neovascularization and collagen deposition in the patch groups,with the 3D-SIS patch showing more complete circumferential integration and ligament-like tissue formation.Conclusion:The 3D-SIS patch is feasible and safe in porcine LHHR.It provides circumferential diaphragmatic reinforcement and promotes phrenoesophageal ligament-like regeneration,offering a new concept for reducing postoperative recurrence and reconstructing the anti-reflux barrier.
10.Policy Analysis of Reimbursement Medical Consumables Catalogue and Payment Management in China
Yuzheng ZHANG ; Peimeng WANG ; Mengting JIA ; Yue LIU ; Xiaohui WANG ; Xue LI ; Yaoling WANG ; Rui LI ; Feiyi XIAO ; Lei ZHONG ; Xin GAO ; Xiaolu ZHANG ; Xuefei GU ; Wudong GUO
Chinese Health Economics 2025;44(2):34-40
Objective:To analyze the current situation of medical consumables management policy in China,and to provide a reference for the refined management of medical consumables.Methods:Through the policy triangle model and policy tool theory,it comprehensively analyzes the reimbursement medical consumables catalogue and payment management policy of medical insurance in China,covering the policy background,content,process,and participant dimensions.Results:The use frequency of medical consumables policy tools is not balanced,the payment management rules need to be refined,and the participation of multi-stakeholders such as patients is lacking.Conclusion:It is necessary to further strengthen the foundational management of reimbursement medical consumables catalogue,improve the access mechanism of medical consumables for medical insurance,and explore the formulation of categorized payment standards and innovative payment mechanisms.


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