1.Differences in arousal threshold among obstructive sleep apnea patients of different genetic backgrounds and influencing factors
Rui ZHAO ; Ping YAO ; Zhiqiang ZHANG ; Zhiguo GUO ; Minqi XIE ; Hui DANG ; Yanrong JIA ; Jing CHENG ; Dongsheng LYU
Sichuan Mental Health 2026;39(3):240-245
BackgroundObstructive sleep apnea (OSA) represents a prevalent sleep disordered breathing condition characterized by complex pathophysiology. The arousal threshold (ArTH), a core non-anatomical contributor to OSA pathogenesis, is intimately tied to the disease severity and clinical phenotypes. To date, research regarding factors associated with ArTH has yielded inconsistent findings, and ArTH profiles and disparities across populations with different genetic backgrounds are not fully elucidated. ObjectiveTo explore the differences of ArTH in OSA patients with different genetic backgrounds and analyze the key factors affecting ArTH, thereby providing evidence for understanding OSA pathophysiology and formulating targeted treatment regimens. MethodsA total of 285 patients who met the diagnostic criteria for OSA, as defined by the Multidisciplinary Diagnosis and Treatment Guidelines for Adult Obstructive Sleep Apnea, were retrospectively enrolled in this study. All participants underwent overnight polysomnography (PSG) at the Sleep Medicine Center of Inner Mongolia Mental Health Center from December 2022 to May 2024. Based on the study design, the cohort was stratified into two distinct genetic background subgroups (group A and group B). Demographic and clinical characteristics, the Epworth Sleepiness Scale (ESS) score, and overnight PSG data were collected. The apnea hypopnea index (AHI), the lowest pulse oxygen saturation (LSpO2), and fraction of hypopneas (FHypopneas) were utilized as surrogate indicators to estimate ArTH in OSA patients. The influencing factors of low ArTH were tested by binary Logistic regression analysis. ResultsAmong the 285 OSA patients, there were 227 cases (79.65%) in group A and 58 cases (20.35%) in group B. Comparisons between the two genetic background subgroups revealed no statistically significant differences in the proportion of low ArTH, ESS score, PSG parameters, and the three markers for low ArTH (AHI<30 events/h, LSpO2>82.5%, FHypopneas>58.3%) (P>0.05). Binary Logistic regression analysis identified sex (OR=2.421, 95% CI: 1.070–5.478), BMI (OR=0.847, 95% CI: 0.770–0.932), N1 sleep duration (OR=0.974, 95% CI: 0.963–0.985), and hypertension (OR=0.348, 95% CI: 0.143–0.848) as independent factors associated with low ArTH in the total cohort. Stratified analysis by genetic backgrounds revealed that sex(OR=3.799, 95% CI: 1.389–10.392), BMI(OR=0.819, 95% CI:0.723–0.929), and N1 sleep duration(OR=0.973, 95% CI: 0.961–0.986) were independent factors of low ArTH in group A. In contrast, only N1 sleep duration (OR=0.951, 95% CI: 0.911–0.993) remained a significant factor in group B. ConclusionArthur may have conservative characteristics in patients with OSA with different genetic backgrounds, but the pathophysiological mechanism of OSA may have population heterogeneity. [Funded by Inner Mongolia Autonomous Region Natural Science Fundation Project (number, 2024QN08050); Intra-institutional Scientific Research Project of Inner Mongolia Mental Health Center (number, 2022QNWN0010)]
2.PPARα activation alleviates lithocholic acid-induced liver injury by inhibiting pyroptosis
Hang-Fei Liang ; Chuo-Ying Mai ; Xuan Li ; Jia-Ning Tian ; Hai-Guo Su ; Min Huang ; Jian-Hong Fang ; Hai-Tao Wang ; Xiao Yang ; Hui-Chang Bi
Liver Research 2026;10(2):177-188
Background and aims
The mechanism of cholestatic liver injury (CLI) is unclear, and effective therapies are lacking. While peroxisome proliferator-activated receptor alpha (PPARα) agonists show potential hepatoprotective effect and pyroptosis is implicated in hepatocellular damage, how PPARα activation mitigates lithocholic acid (LCA)-induced pyroptosis remains unknown.
Methods
The hepatoprotective effect of PPARα agonists was evaluated in a mouse model of intrahepatic cholestasis induced by LCA. Liver injury was assessed via serum biochemistry, hematoxylin and eosin and TUNEL staining, and electron microscopy. Pyroptosis pathways were analyzed using real-time quantitative polymerase chain reaction, Western blot, and co-immunoprecipitation.
Results
Combined morphological, histopathological, and biochemical analyses confirmed that PPARα activation protects against CLI. Compared with LCA treatment alone, PPARα activation significantly attenuated the elevation of serum lactate dehydrogenase (LDH), the increased TUNEL-positive cells, and the formation of hepatocyte membrane pores. Mechanistically, PPARα activation suppressed both NOD-like receptor protein 3 (NLRP3) inflammasome-mediated pyroptosis and apoptosis protease-activating factor-1 (APAF-1)/CASPASE-3/GSDME-mediated pyroptosis. Furthermore, PPARα agonist pretreatment inhibited activation of the nuclear factor-kappa B (NF-κB) and forkhead box O1 (FOXO1) signaling pathways.
Conclusions
PPARα protects against LCA-induced CLI by inhibiting both NLRP3 inflammasome-mediated pyroptosis associated with NF-κB and APAF-1/CASPASE-3/GSDME-mediated pyroptosis associated with the FOXO1 signaling pathway.
3.Metformin inhibits ferroptosis and improves cartilage damage in osteoarthritis model rats
Jiaxin FAN ; Xiang JIA ; Tianjie XU ; Kainan LIU ; Xiaoling GUO ; Hui ZHANG ; Qian WANG
Chinese Journal of Tissue Engineering Research 2025;29(30):6398-6408
BACKGROUND:Metformin is currently considered the first-line medication for the treatment of type 2 diabetes.Metformin may delay the progression of osteoarthritis,but its specific mechanism of action remains unclear.OBJECTIVE:To evaluate the therapeutic effects and the related action mechanisms of metformin on osteoarthritis in rats.METHODS:(1)Network pharmacology:Potential common targets for metformin,osteoarthritis,and ferroptosis were screened using the CTD,SwissTargetPrediction,GeneCards,and OMIM databases.After importing the targets into the STRING database,protein-protein interaction analysis was conducted to identify the key targets for metformin,osteoarthritis,and ferroptosis.(2)Molecular docking:P53 and its downstream factor SLC7A11 protein structures in PDB format were downloaded from the PDB database.The 2D structure of metformin was converted to a 3D structure,and molecular docking of metformin with the proteins was performed using Discovery Studio 2019 Client.(3)In vivo experiments:Thirty male SD rats were randomly divided into three groups(n=10).The blank group did not receive surgery.The osteoarthritis model was established using the modified Hulth method for the model and metformin groups.One day after the surgery,rats in the metformin group were gavaged with metformin 200 mg/kg per day,while the blank and model groups were gavaged with physiological saline.Treatment continued for 4 weeks.Hematoxylin-eosin staining and Safranin O-fast green staining were used to observe the pathological morphology and structure of the knee cartilage,and Mankin scoring was performed.ELISA was used to measure the levels of tumor necrosis factor-α and interleukin-6 in the serum.The microplate method was used to measure serum ferroptosis-related indicators,including glutathione,malondialdehyde,and Fe2+.Immunofluorescence staining,western blot assay,and real-time qPCR were used to detect the protein and mRNA expression of P53,SLC7A11,glutathione peroxidase 4,proteoglycans,and matrix metalloproteinase 13 in the cartilage tissue of the rats.RESULTS AND CONCLUSION:(1)A total of 96 intersecting targets among metformin,osteoarthritis,and ferroptosis were identified.After protein-protein interaction analysis,77 potential targets were found.Further screening identified the core targets as TP53,AKT1,JUN,interleukin-6,MYC,interleukin-1β,and tumor necrosis factor-α,among others.(2)Docking analysis results showed that metformin bound strongly and stably with P53 and its downstream factor SLC7A11.(3)In the model group,the knee cartilage surface was irregular,with cartilage tissue defects and reduced chondrocyte numbers.Compared to the model group,the knee cartilage structure damage in the metformin group was significantly improved,with a smoother cartilage surface and increased chondrocyte numbers.The Mankin score in the model group was significantly higher than that in the blank group,while the Mankin score in the intervention group was significantly lower than that in the model group.(4)Compared with the model group,the metformin group had significantly lower levels of tumor necrosis factor-α,interleukin-6,malondialdehyde,and Fe2+,and significantly higher glutathione levels.(5)Compared to the model group,the metformin group had significantly increased protein and mRNA expression of SLC7A11,glutathione peroxidase 4,and proteoglycans,and significantly decreased protein and mRNA expression of P53 and matrix metalloproteinase 13 in their cartilage tissue.(6)The results indicate that metformin can effectively improve cartilage damage in osteoarthritis rats and alleviate chondrocyte ferroptosis by inhibiting the aberrantly activated P53/SLC7A11/glutathione peroxidase 4 signaling pathway.This improvement in chondrocyte iron metabolism and lipid peroxidation response further reduces cartilage matrix degradation and prevents further cartilage damage and inflammatory response.
4.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.
5.Metformin inhibits ferroptosis and improves cartilage damage in osteoarthritis model rats
Jiaxin FAN ; Xiang JIA ; Tianjie XU ; Kainan LIU ; Xiaoling GUO ; Hui ZHANG ; Qian WANG
Chinese Journal of Tissue Engineering Research 2025;29(30):6398-6408
BACKGROUND:Metformin is currently considered the first-line medication for the treatment of type 2 diabetes.Metformin may delay the progression of osteoarthritis,but its specific mechanism of action remains unclear.OBJECTIVE:To evaluate the therapeutic effects and the related action mechanisms of metformin on osteoarthritis in rats.METHODS:(1)Network pharmacology:Potential common targets for metformin,osteoarthritis,and ferroptosis were screened using the CTD,SwissTargetPrediction,GeneCards,and OMIM databases.After importing the targets into the STRING database,protein-protein interaction analysis was conducted to identify the key targets for metformin,osteoarthritis,and ferroptosis.(2)Molecular docking:P53 and its downstream factor SLC7A11 protein structures in PDB format were downloaded from the PDB database.The 2D structure of metformin was converted to a 3D structure,and molecular docking of metformin with the proteins was performed using Discovery Studio 2019 Client.(3)In vivo experiments:Thirty male SD rats were randomly divided into three groups(n=10).The blank group did not receive surgery.The osteoarthritis model was established using the modified Hulth method for the model and metformin groups.One day after the surgery,rats in the metformin group were gavaged with metformin 200 mg/kg per day,while the blank and model groups were gavaged with physiological saline.Treatment continued for 4 weeks.Hematoxylin-eosin staining and Safranin O-fast green staining were used to observe the pathological morphology and structure of the knee cartilage,and Mankin scoring was performed.ELISA was used to measure the levels of tumor necrosis factor-α and interleukin-6 in the serum.The microplate method was used to measure serum ferroptosis-related indicators,including glutathione,malondialdehyde,and Fe2+.Immunofluorescence staining,western blot assay,and real-time qPCR were used to detect the protein and mRNA expression of P53,SLC7A11,glutathione peroxidase 4,proteoglycans,and matrix metalloproteinase 13 in the cartilage tissue of the rats.RESULTS AND CONCLUSION:(1)A total of 96 intersecting targets among metformin,osteoarthritis,and ferroptosis were identified.After protein-protein interaction analysis,77 potential targets were found.Further screening identified the core targets as TP53,AKT1,JUN,interleukin-6,MYC,interleukin-1β,and tumor necrosis factor-α,among others.(2)Docking analysis results showed that metformin bound strongly and stably with P53 and its downstream factor SLC7A11.(3)In the model group,the knee cartilage surface was irregular,with cartilage tissue defects and reduced chondrocyte numbers.Compared to the model group,the knee cartilage structure damage in the metformin group was significantly improved,with a smoother cartilage surface and increased chondrocyte numbers.The Mankin score in the model group was significantly higher than that in the blank group,while the Mankin score in the intervention group was significantly lower than that in the model group.(4)Compared with the model group,the metformin group had significantly lower levels of tumor necrosis factor-α,interleukin-6,malondialdehyde,and Fe2+,and significantly higher glutathione levels.(5)Compared to the model group,the metformin group had significantly increased protein and mRNA expression of SLC7A11,glutathione peroxidase 4,and proteoglycans,and significantly decreased protein and mRNA expression of P53 and matrix metalloproteinase 13 in their cartilage tissue.(6)The results indicate that metformin can effectively improve cartilage damage in osteoarthritis rats and alleviate chondrocyte ferroptosis by inhibiting the aberrantly activated P53/SLC7A11/glutathione peroxidase 4 signaling pathway.This improvement in chondrocyte iron metabolism and lipid peroxidation response further reduces cartilage matrix degradation and prevents further cartilage damage and inflammatory response.
6.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.
7.Analysis of China's cross-regional medical insurance settlement policy based on policy tools
Shi-qiang WANG ; Hui WANG ; Shu ZHANG ; Zi-qi ZHANG ; Yi-jie LI ; Jia-yi LIU ; Guo-heng HU
Chinese Journal of Health Policy 2025;18(10):32-39
Objective:Systematically review the release status and characteristics of policies related to cross-regional medical insurance settlement policies in China,providing reference for promoting the convenience of medical insurance settlement services and improving management efficiency.Methods:Using content analysis,a two-dimensional framework of"policy objectives-policy tools"was constructed.A total of 127 policy documents were coded and analyzed.Results:Demand-based tools were applied most frequently(43.6%),followed by environmental and supply-based tools.Policy objectives mainly focused on improving service convenience,supported by expanding coverage and ensuring regulatory security.Conclusions:China's cross-regional medical insurance settlement policies have improved service accessibility and strengthened institutional supervision while gradually expanding coverage.However,deficiencies remain in assessment refinement and emergency mechanisms.Greater interdepartmental coordination is needed to enhance regulatory linkage and ensure the safe operation of medical insurance funds.
8.Correlation of the expression of ILT4 and CD147 with tumor immunoinfiltration and prognosis in lung adenocarcinoma
Jia-hui LI ; Yi-ze GUO ; Wen HU ; Li ZHANG
Journal of Regional Anatomy and Operative Surgery 2025;34(11):993-998
Objective To analyze the expression of ILT4 and CD147 in lung adenocarcinoma and their relationships with tumor immunoinfiltration and prognosis of patients.Methods The specimens of cancer tissues and adjacent tissues of 134 patients with lung adenocarcinoma who underwent surgical treatment at our hospital from January to December 2024 were collected,and a retrospective analysis was conducted on the clinical data of the patients.The protein and mRNA expression of ILT4 and CD147 in different tissues were detected by immunohistochemistry and qRT-PCR,respectively.The correlations of the expression of ILT4 and CD147 with the clinicopatho-logical characteristics of lung adenocarcinoma were analyzed.The expression of ILT4 and CD147 in pan-cancer tissues were retrieved based on the GEPIA2 database,and their relationships with the prognosis of lung adenocarcinoma were analyzed.The correlations of the expression of ILT4 and CD147 with the infiltration of 6 kinds of immune cells in lung adenocarcinoma samples were analyzed based on TIMER database.Results The protein positive rates and mRNA expression levels of ILT4 and CD147 in lung adenocarcinoma tissues were significantly higher than those in adjacent tissues(P<0.05).The analysis of GEPIA database showed that ILT4 and CD147 upregulated in various tumors,and the expression levels of ILT4 and CD147 in lung adenocarcinoma tissues were both higher than those in unpaired adjacent tissues.The expression of ILT4 protein was closely related to the TNM stage and lymph node metastasis of lung adenocarcinoma(P<0.05);the expression of CD147 protein was correlated with TNM stage,lymph node metastasis and degree of differentiation(P<0.05).The analysis of GEPIA database showed that the patients with high expression of ILT4 and CD147 had lower overall survival rates than those with low expression(Log-rank P=0.000 58,0.002 6).The analysis of the TIMER database showed that the expression of ILT4 was negatively correlated with the infiltration of macrophages,neutrophils and dendritic cells(P<0.05);the expression of CD147 was negatively correlated with the infiltration of B cells,CD4+T cells and dendritic cells(P<0.05).Conclusion ILT4 and CD147 are highly expressed in lung adenocarcinoma tissues,which are related to clinicopathological features,prognosis and immunoinfiltration of patients.They may be the potential markers for prognosis evaluation and immunotherapeutic targets of patients with lung adenocarcinoma.
9.Comparative analysis of Exoview and Mimics three-dimensional reconstruction in thoracoscopic pulmonary segmentectomy
Jun-ping ZHU ; Meng-meng GUO ; Jia-xing SHI ; Zhi-gang GUO ; Sheng-hui YANG ; Zhen QIAO
Journal of Regional Anatomy and Operative Surgery 2025;34(11):998-1003
Objective To compare the effects of sequential Exoview and Mimics three-dimensional reconstruction with fluorescence method in thoracoscopic pulmonary segmentectomy.Methods The clinical data of 160 patients with lung cancer admitted to our hospital from January 2020 to June 2023 were retrospectively analyzed.Among them,79 patients who underwent thoracoscopic pulmonary segmentectomy with the sequential Exoview three-dimensional reconstruction and fluorescence method before the operation were classified as the Exoview group,and 81 patients who underwent thoracoscopic pulmonary segmentectomy with the sequential Mimics three-dimensional reconstruction and fluorescence method before the operation were classified as the Mimics group.The surgical completion status,the coincidence rate between the number of left and right pulmonary artery branches evaluated before operation and intraoperative findings,reconstruction time,segment display effect,general indicators of operation(operation time,intraoperative blood loss,number of lymph node dissection,thoracic tube placement time,postoperative hospital stay),pulmonary function[forced expiratory volume in one second(FEV1),percentage of forced expiratory volume in one second(FEV1%)]and complications were compared between the two groups.Results All patients in the two groups successfully completed thoracoscopic pulmonary segmentectomy,and indocyanine green was injected once in each group.The operation process was roughly consistent with the preoperative simulation,and no thoracotomy was performed.There was no statistically significant difference in the resection of lung segment between the two groups of patients(P>0.05).The coincidence rate between the number of left and right pulmonary artery branches evaluated before operation and intraoperative findings in the Exoview group was higher than that in the Mimics group(P<0.05).There was no significant difference in the segment display effect between the Exoview group and the Mimics group(P>0.05).The operation time and the reconstruction time in the Exoview group were shorter those that in the Mimics group,and the intraoperative blood loss was less than that in the Mimics group(P<0.05).There was no significant difference in the number of lymph node dissection,the thoracic tube placement time,or the postoperative hospital stay between the two groups(P>0.05).There was no statistically significant difference in FEV1 or FEV1%7 days after surgery compared with those before surgery(P>0.05).The FEV1 and FEV1%of patients in the Mimics group 7 days after surgery were lower than those beforesurgery(P<0.05).There was no statistically significant difference in FEV1 or FEV1%between the Exoview group and the Mimics group before and 7 days after surgery(P>0.05).The total incidence of complications in the Exoview group was 1.27%,compared with 4.94%in the Mimics group,the difference was not statistically significant(P>0.05).Conclusion Both sequential Exoview and Mimics three-dimensional reconstruction with fluorescence method are safe and effective for thoracoscopic pulmonary segmentectomy,while Exoview has more advantages in preoperative assessment of the number of pulmonary artery branches,and it has shorter reconstruction time and operation time,with less impact on lung function.
10.Analysis of China's cross-regional medical insurance settlement policy based on policy tools
Shi-qiang WANG ; Hui WANG ; Shu ZHANG ; Zi-qi ZHANG ; Yi-jie LI ; Jia-yi LIU ; Guo-heng HU
Chinese Journal of Health Policy 2025;18(10):32-39
Objective:Systematically review the release status and characteristics of policies related to cross-regional medical insurance settlement policies in China,providing reference for promoting the convenience of medical insurance settlement services and improving management efficiency.Methods:Using content analysis,a two-dimensional framework of"policy objectives-policy tools"was constructed.A total of 127 policy documents were coded and analyzed.Results:Demand-based tools were applied most frequently(43.6%),followed by environmental and supply-based tools.Policy objectives mainly focused on improving service convenience,supported by expanding coverage and ensuring regulatory security.Conclusions:China's cross-regional medical insurance settlement policies have improved service accessibility and strengthened institutional supervision while gradually expanding coverage.However,deficiencies remain in assessment refinement and emergency mechanisms.Greater interdepartmental coordination is needed to enhance regulatory linkage and ensure the safe operation of medical insurance funds.


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