Objective To evaluate the cost–utility of lecanemab and donanemab in the treatment of early Alzheimer’s disease （AD） in China. Methods A Markov model was developed from a societal perspective to compare standard of care （SOC）, lecanemab plus SOC, and donanemab plus SOC in terms of costs, quality-adjusted life years （QALY）, and incremental cost–utility ratios （ICUR）. Deterministic and probabilistic sensitivity analyses were conducted to assess parameter uncertainty. Results Both intervention strategies increased QALY compared with SOC but were associated with substantially higher costs, and neither was cost-effective under the current willingness-to-pay threshold. Conclusion Lecanemab and donanemab may be more appropriately considered within a multi-tiered healthcare reimbursement framework in China rather than relying solely on basic medical insurance.

Objective To explore and construct the clinical questions and outcome indicators of the Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome;To provide a basis for the subsequent preparation of this guide to form recommendations.Methods First,by searching the databases of seven major Chinese and English journals,including CNKI,the preliminary list of clinical problems and outcome indicators in the Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome were sorted out,and then the clinical questions and outcome indicators that formed the recommendations of the guide were finally determined based on the modified Delphi method in the form of three rounds of online.The first two rounds were conducted in the form of online questionnaires filled out by experts,and the importance ratings of clinical issues and outcome indicators were imported into the SPSS 27.0 software for statistical analysis.The first and second rounds of clinical questions and outcome indicators were rated as the average score≥4,full score frequency≥30%,and the coefficient of variation≤25%,respectively;the inclusion criteria for entering the second round of evaluation were an average score of≥7 and an average score of≤25%.The third round would be further discussed and voted on by experts in an online consensus meeting,with a voting rate of≥80%as the standard to determine the final items to be included in the guidelines.Results A total of 109 questionnaires were distributed nationwide in the first round of inquiry,and 107 were collected;a total of 20 questionnaires were distributed for the second round of expert research,and 20 were collected.The positive coefficients of the first and second rounds of experts were 98.17%and 100%;the Cronbach coefficients of clinical questions were 0.937 and 0.943,respectively;the Cronbach coefficients of the outcome indicators were 0.970 and 0.940,respectively.In the third round,a total of 22 experts participated in the meeting and all voted,resulting in a positive coefficient of 100%and an authority coefficient of 0.88.13 clinical questions and 17 outcome indicators were finally included in Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome.Conclusion According to the results of the above three rounds of modified Delphi method,it indicates that the questionnaire survey in the process of formulating the guidelines is highly reliable,which can provide a reliable basis for the writing of this guide,and to provide a reference for the development of acupuncture guidelines in related fields.

Objective:To evaluate the effect of cathepsin B(CTSB)/NOD-like receptor pyrin domain containing 3(NLRP3)pathway on the polarization of macrophages induced by LPS.Methods:The well-growing RAW264.7 mouse mononuclear macrophage lines were cultured in vitro and divided into 3 groups(n=6)according to the random number table method:control group(C group),LPS group(L group)and LPS+CA074-me(CTSB inhibitors)group(B group).C group was cultured normally for 24 h,L group was cultured with LPS concentration of 1 μg/ml medium for 24 h.B group was pretreated with CTSB inhibitor CA074-me 30 μmol/L for 1 h before LPS induction,and co-cultured with LPS concentration of 1 μg/ml medium for 24 h.After 24 hours,the morphological changes of the cells were observed by microscope,the concentrations of IL-1β and IL-18 in the supernatant were determined by ELISA.The ex-pressions of cathepsin B precursor(pro-CTSB),mature cathepsin B(mature-CTSB),NLRP3,apoptosis-related speck protein(ASC)and apoptosis-related speck protein-1(caspase-1)were detected by Western blot.The mRNA expression levels of CD32,inducible ni-tric oxide synthase(iNOS),arginase 1(Arg-1)and CD206 were detected by qRT-PCR.The positive expression rates of M1 macro-phage surface marker CD86 and M2 macrophage surface marker CD206 were detected by flow cytometry.Results:Compared with group C,the morphology of cells in groups L and B became larger and pseudopodia appeared.The concentrations of IL-1β and IL-18 in cell supernatant were increased,the expressions of pro-CTSB,mature-CTSB,NLRP3,ASC and caspase-1 were increased,and the expressions of CD32,iNOS mRNA were up-regulated and the positive rates of CD86 and CD206 were increased(P<0.01).Arg-1 and CD206 mRNA in group B were up-regulated(P<0.01).Compared with group L,the pseudopodia of group B were reduced,and the morphology was closer to group C.The concentration of IL-1β and IL-18 in the supernatant,the expression of mature-CTSB,NLRP3,ASC and caspase-1,CD32 and iNOS mRNA and the positive rate of CD86 were down-regulated in group B.The expression of pro-CTSB,Arg-1 and CD206 mRNA and the positive rate of CD206 were increased(P<0.01).Conclusion:Inhibition of CTSB/NLRP3 pathway can reduce the inflammatory response,reduce the LPS-induced polarization of RAW264.7 cells to M1 macrophages,and pro-mote their polarization to M2 macrophages.

Objective:To research on the teaching effect of constructing and applying the test bank of Medical Immunology.Methods:A total of 475 students from Hainan Medical College in 2019 were set as the experimental group,the test bank was used in the teaching process,and 463 students from 2018 were set as the control group.The correlation between the test bank and final test scores of students of the two grades were analyzed and compared.Results:The final paper scores of grade 2019 students were not higher than those of grade 2018(P>0.05),the score distribution,average score,minimum score and pass rate of the 2019 grade were better than those of the 2018 grade(P<0.05).The experimental group had a significantly better learning effect on Medical Immunology than the control group(P<0.05).Conclusion:The construction and application of Medical Immunology test bank can improve students'learning effect.

Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.

Objective:To analyze the treatment-free remission (TFR) outcomes after discontinuation of tyrosine kinase inhibitor (TKI) in children with chronic myeloid leukemia (CML).Methods:In this retrospective cohort study, clinical data of 14 chronic phase CML children aged <18 years who had achieved stable deep molecular response (DMR) for ≥ 2 years after standardized treatment with TKI and had a strong desire to discontinue TKI at Henan Cancer Hospital from September 30, 2016 to January 30, 2022 were collected retrospectively. According to the different TFR outcomes after discontinuation of TKI, patients were divided into loss of major molecular response (MMR) group and without loss of MMR group, differences in clinical characteristics between the two groups of children were analyzed using Mann-Whitney U test and Fisher exact test. Results:Out of 14 children with TKI discontinuation, 7 were male and 7 were female. The age at diagnosis was 14.0 (4.8, 17.0) years, and the age at TKI discontinuation was 22.0 (12.5, 27.0) years. Among them, 8 children were treated with imatinib prior to TKI discontinuation and 6 children were treated with second-line substitution of the second-generation TKI nilotinib or dasatinib prior to TKI discontinuation. The follow-up time was 37.0 (27.8, 47.5) months, and 7 cases lost MMR at the time of discontinuation of 3.0 (2.0, 11.0) months. Eight children gained TFR at 6 months, 7 children gained TFR at 12 and 24 months. Amongst the 6 children who received second-generation TKI prior to TKI discontinuation, 2 children lost MMR at 3 and 11 months and 4 children gained TFR, among the 8 children who discontinued imatinib, 5 children lost MMR at the time 3.0 (2.0, 9.0) months and 3 children gained TFR. The age at diagnosis and TKI discontinuation, the time from TKI treatment to the acquisition of DMR, the duration of TKI treatment before TKI discontinuation, the duration of DMR before TKI discontinuation, and the number of children treated with second-generation TKI were not statistically different between the 7 children in the group that did not lose the MMR and the 7 children in the group that lost the MMR (all P>0.05) . All the 7 children with confirmed loss of MMR immediately restarted TKI therapy, and all regained DMR after 2.0 (2.0, 11.0) months of therapy. None of the children had disease progression. After TKI discontinued, only 1 child had mild bone pain, which could be relieved by oral antipyretic analgesic drugs. Conclusions:Children with CML who have achieved a durable stable DMR for≥2 years on TKI therapy can discontinue the TKI and obtain TFR. Both the longer duration of TKI therapy, the longer duration of DMR and the use of second-generation TKI therapy before TKI discontinuation, may allow more children with CML who are expecting TKI discontinuation to have access to TFR.

Objective To explore and construct the clinical questions and outcome indicators of the Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome;To provide a basis for the subsequent preparation of this guide to form recommendations.Methods First,by searching the databases of seven major Chinese and English journals,including CNKI,the preliminary list of clinical problems and outcome indicators in the Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome were sorted out,and then the clinical questions and outcome indicators that formed the recommendations of the guide were finally determined based on the modified Delphi method in the form of three rounds of online.The first two rounds were conducted in the form of online questionnaires filled out by experts,and the importance ratings of clinical issues and outcome indicators were imported into the SPSS 27.0 software for statistical analysis.The first and second rounds of clinical questions and outcome indicators were rated as the average score≥4,full score frequency≥30%,and the coefficient of variation≤25%,respectively;the inclusion criteria for entering the second round of evaluation were an average score of≥7 and an average score of≤25%.The third round would be further discussed and voted on by experts in an online consensus meeting,with a voting rate of≥80%as the standard to determine the final items to be included in the guidelines.Results A total of 109 questionnaires were distributed nationwide in the first round of inquiry,and 107 were collected;a total of 20 questionnaires were distributed for the second round of expert research,and 20 were collected.The positive coefficients of the first and second rounds of experts were 98.17%and 100%;the Cronbach coefficients of clinical questions were 0.937 and 0.943,respectively;the Cronbach coefficients of the outcome indicators were 0.970 and 0.940,respectively.In the third round,a total of 22 experts participated in the meeting and all voted,resulting in a positive coefficient of 100%and an authority coefficient of 0.88.13 clinical questions and 17 outcome indicators were finally included in Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome.Conclusion According to the results of the above three rounds of modified Delphi method,it indicates that the questionnaire survey in the process of formulating the guidelines is highly reliable,which can provide a reliable basis for the writing of this guide,and to provide a reference for the development of acupuncture guidelines in related fields.

Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.

Objective:To analyze the treatment-free remission (TFR) outcomes after discontinuation of tyrosine kinase inhibitor (TKI) in children with chronic myeloid leukemia (CML).Methods:In this retrospective cohort study, clinical data of 14 chronic phase CML children aged <18 years who had achieved stable deep molecular response (DMR) for ≥ 2 years after standardized treatment with TKI and had a strong desire to discontinue TKI at Henan Cancer Hospital from September 30, 2016 to January 30, 2022 were collected retrospectively. According to the different TFR outcomes after discontinuation of TKI, patients were divided into loss of major molecular response (MMR) group and without loss of MMR group, differences in clinical characteristics between the two groups of children were analyzed using Mann-Whitney U test and Fisher exact test. Results:Out of 14 children with TKI discontinuation, 7 were male and 7 were female. The age at diagnosis was 14.0 (4.8, 17.0) years, and the age at TKI discontinuation was 22.0 (12.5, 27.0) years. Among them, 8 children were treated with imatinib prior to TKI discontinuation and 6 children were treated with second-line substitution of the second-generation TKI nilotinib or dasatinib prior to TKI discontinuation. The follow-up time was 37.0 (27.8, 47.5) months, and 7 cases lost MMR at the time of discontinuation of 3.0 (2.0, 11.0) months. Eight children gained TFR at 6 months, 7 children gained TFR at 12 and 24 months. Amongst the 6 children who received second-generation TKI prior to TKI discontinuation, 2 children lost MMR at 3 and 11 months and 4 children gained TFR, among the 8 children who discontinued imatinib, 5 children lost MMR at the time 3.0 (2.0, 9.0) months and 3 children gained TFR. The age at diagnosis and TKI discontinuation, the time from TKI treatment to the acquisition of DMR, the duration of TKI treatment before TKI discontinuation, the duration of DMR before TKI discontinuation, and the number of children treated with second-generation TKI were not statistically different between the 7 children in the group that did not lose the MMR and the 7 children in the group that lost the MMR (all P>0.05) . All the 7 children with confirmed loss of MMR immediately restarted TKI therapy, and all regained DMR after 2.0 (2.0, 11.0) months of therapy. None of the children had disease progression. After TKI discontinued, only 1 child had mild bone pain, which could be relieved by oral antipyretic analgesic drugs. Conclusions:Children with CML who have achieved a durable stable DMR for≥2 years on TKI therapy can discontinue the TKI and obtain TFR. Both the longer duration of TKI therapy, the longer duration of DMR and the use of second-generation TKI therapy before TKI discontinuation, may allow more children with CML who are expecting TKI discontinuation to have access to TFR.

Objective:To evaluate the role of peptidylarginine deiminase 4 (PAD4)-mediated development of neutrophil extracellular traps (NETs) in lung ischemia-reperfusion injury (LIRI) in mice.Methods:Ninety-six clean-grade healthy male C57BL/6 mice, aged 6-8 weeks, weighing 20-25 g, were divided into 4 groups ( n=24 each) using a table of random numbers: sham operation group (group S), sham operation + PAD4 specific inhibitor GSK484 group (group S+ G), lung ischemia-reperfusion group (group L), and lung ischemia-reperfusion + GSK484 group (group L+ G). After anesthesia and mechanical ventilation, mice were subjected to left hilum occlusion for 1 h followed by 2 h of reperfusion to establish the LIRI model in L and L+ G groups. Mice underwent thoracotomy for 3 h without left hilum occlusion in S and S+ G groups. In S+ G and L+ G groups, GSK484 4 mg/kg was intraperitoneally injected once a day for 3 days before developing the model. At the end of reperfusion, blood samples were collected from the abdominal aorta for blood gas analysis to record arterial partial pressure of oxygen (PaO 2). Mice were then sacrificed to collect bronchoalveolar lavage fluid (BALF) and to obtain lung tissues. The concentrations of interleukin (IL)-1β, IL-6, tumor necrosis factor-α (TNF-α) and myeloperoxidase (MPO) in BALF were measured using enzyme-linked immunosorbent assay. The wet/dry lung weight (W/D) ratio was calculated. The lung tissues were obtained for microscopic examination of pathological changes (with a light microscope) which were scored after hematoxylin-eosin staining and for determination of the contents of superoxide dismutase (SOD) and malondialdehyde (MDA) (by colorimetric assay) and expression of PAD4, neutrophil elastase (NE), high-mobility group box 1 (HMGB1), and citrullinated histone 3 (Cit-H3) (by Western blot). Results:Compared with group S, lung injury scores and W/D ratios were significantly increased, PaO 2 was decreased, the concentrations of IL-1β, IL-6, TNF-α and MPO in BALF were increased, the content of SOD was decreased, the content of MDA was increased, and the expression of PAD4, NE, HMGB1 and Cit-H3 was up-regulated in L and L+ G groups ( P<0.05), and no significant changes were observed in the aforementioned parameters in group S+ G ( P>0.05). Compared with group L, lung injury scores and W/D ratios were significantly decreased, PaO 2 was increased, concentrations of IL-1β, IL-6, TNF-α, and MPO in BALF were decreased, the content of SOD was increased, the content of MDA was decreased, and the expression of PAD4, NE, HMGB1 and Cit-H3 was down-regulated in group L+ G ( P<0.05). Conclusions:Up-regulated PAD4 expression can promote the development of NETs and aggravate oxidative stress and inflammatory responses in lung tissues, thereby participating in LIRI in mice.