Objective To explore the relationship between PANoptosis and hepatic ischemia-reperfusion injury (HIRI), and to screen the key genes of PANoptosis in HIRI. Methods PANoptosis-related differentially expressed genes (PDG) were obtained through the Gene Expression Omnibus database and GeneCards database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were used to explore the biological pathways related to PDG. A protein-protein interaction network was constructed. Key genes were selected, and their diagnostic value was assessed and validated in the HIRI mice. Immune cell infiltration analysis was performed based on the cell-type identification by estimating relative subsets of RNA transcripts. Results A total of 16 PDG were identified. GO analysis showed that PDG were closely related to cellular metabolism. KEGG analysis indicated that PDG were mainly enriched in cellular death pathways such as apoptosis and immune-related signaling pathways such as the tumor necrosis factor signaling pathway. GSEA results showed that key genes were mainly enriched in immune-related signaling pathways such as the mitogen-activated protein kinase (MAPK) signaling pathway. Two key genes, DFFB and TNFSF10, were identified with high accuracy in diagnosing HIRI, with areas under the curve of 0.964 and 1.000, respectively. Immune infiltration analysis showed that the control group had more infiltration of resting natural killer cells, M2 macrophages, etc., while the HIRI group had more infiltration of M0 macrophages, neutrophils, and naive B cells. Real-time quantitative polymerase chain reaction results showed that compared with the Sham group, the relative expression of DFFB messenger RNA in liver tissue of HIRI group mice increased, and the relative expression of TNFSF10 messenger RNA decreased. Cibersort analysis showed that the infiltration abundance of naive B cells was positively correlated with DFFB expression (r=0.70, P=0.035), and the infiltration abundance of M2 macrophages was positively correlated with TNFSF10 expression (r=0.68, P=0.045). Conclusions PANoptosis-related genes DFFB and TNFSF10 may be potential biomarkers and therapeutic targets for HIRI.

ObjectiveTo analyze the influencing factors for recurrence in successfully treated pulmonary tuberculosis patients with isoniazid-resistant and rifampicin-sensitive in Shaoxing City, Zhejiang Province. MethodsData on general demographic information, treatment information and drug susceptibility test results for pulmonary tuberculosis patients admitted to the designated tuberculosis medical institutions and registered in the tuberculosis information management system was collected in Shaoxing City from January 2011 to August 2024. A total of 428 patients with isoniazid resistance (including isoniazid single resistance and multiple resistance) but who were successfully treated were included in the study. Information for the recurrence after successful treatment of the patients was analyzed. The Cox proportional hazards models were used to analyze the influencing factors of recurrence in patients. ResultsAmong the 428 successfully treated patients included in the study, 31 cases (accounting for 7.24%) had recurrence by the end of the observation period, with a recurrence rate density of 1.31 per 100 person-years and a median recurrence time of 0.99 (0.08, 8.27) years. Among the relapsed population, 51.61% of the patients relapsed within one year after successful treatment. 77.42% of the patients relapsed within two years after successful treatment. Multivariate Cox regression analysis showed that when isoniazid resistance was discovered, the diagnosis classification of relapse (HR=4.115, 95%CI: 1.734‒9.767) and positive 0-month sequence smear (HR=4.457, 95%CI: 1.053‒18.866) were risk factors for recurrence after successful treatment in patients. ConclusionRegular follow-up should be strengthened for at least two years after the successful treatment of isoniazid-resistant pulmonary tuberculosis patients. Special attention should be paid to the treatment effect and regular re-examination and monitoring after the end of the treatment course of isoniazid-resistant pulmonary tuberculosis patients who have been re-treated and were sputum smear positive at baseline, so as to prevent recurrence and disease progression in high-risk populations.

Objective:To investigate the contributing factors to elevated blood pressure in borderline cases during medical selection for recruitment of Air Force flying cadets in order to enhance the accuracy of selection.Methods:Blood pressure was measured among 2 350 male high school graduates in the 2022 re-selection phase of medical selection of Air Force flying cadets. None of the participants had a family history of hypertension according to previous health checkups. Identified through blood pressure measurement, subjects with borderline hypertension were assigned to an intervention group (self-intervention with personalized correction plans) and a control group (self-intervention alone) using a random number table. Standardized blood pressure measurements and comprehensive medical history reviews were performed to compare pre- and post-intervention outcomes across the 2 groups, followed by an investigation into the causative mechanisms of elevated blood pressure.Results:Among the 102 cases of borderline hypertension (51 per group) identified, primary contributing factors included the white-coat phenomenon (41.2%), pre-examination physical activity (17.6%), pre-examination medications (3.9%) and poor sleep quality (35.3%). No significant differences in systolic blood pressure (SBP) or diastolic blood pressure (DBP) were observed between the 2 groups at baseline (both P>0.05). After interventions, the intervention group showed significantly lower SBP ( t=3.13, P=0.002) and DBP ( t=7.68, P<0.001) than the control group. Both groups exhibited reductions in SBP and DBP from baseline ( t=6.63, 8.97, 4.13, 2.03, P<0.001, <0.001, <0.001, =0.043). The percentage of students with normal blood pressure was 96.1% (49/51) in the intervention group and 78.4% (40/51) in the control group. Conclusions:Transient blood pressure elevation in selection settings primarily stems from the white-coat phenomenon, physical exertion, medications and sleep disturbances. Standardizing blood pressure measurement protocols and addressing transient factors can help avoid unwarranted disqualifications and ensure the accuracy of selection.

Objective To investigate the influencing factors for the short-term prognosis of patients with alcohol-related liver diseases-acute-on-chronic liver failure(ALD-ACLF)comorbid with infection.Methods A total of 89 ALD-ACLF patients with infection who were admitted to the Fifth Medical Center of PLA General Hospital from January 2019 to December 2021 were enrolled as subjects,and related clinical data were collected at baseline(time of patient enrollment).According to the 28-day survival status of patients,they were divided into survival group with 53 patients and death group with 36 patients,and baseline clinical data were compared between the two groups.The t-test was used for comparison of normally distributed continuous data between groups,and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between groups;the chi-square test was used for comparison of categorical data between groups.A non-conditional Logistic regression analysis was used to perform the multivariate analysis.The Z-test was used for comparison of the area under the ROC curve(AUC),and the diagnostic value of the model was assessed.Results Compared with the survival group,the death group had significantly higher hemoglobin(t=-2.397,P=0.019),alanine aminotransferase(Z=-3.437,P=0.001),gamma-glutamyl transpeptidase(Z=-2.617,P=0.009),creatinine(Z=-3.938,P<0.001),blood urea nitrogen(Z=-3.423,P=0.001),NH3(Z=-4.406,P<0.001),international normalized ratio(Z=-3.428,P=0.001),C-reactive protein(Z=-2.128,P=0.033),procalcitonin(Z=-2.441,P=0.015),Model for End-Stage Liver Disease(MELD)score(t=-4.817,P<0.001),incidence rate of acute kidney injury(χ2=21.602,P<0.001),incidence rate of pulmonary infection(χ2=4.866,P=0.027),and incidence rate of shock(χ2=16.285,P<0.001),as well as significantly lower albumin(Z=-2.473,P=0.013)and incidence rate of abdominal infection(χ2=5.897,P=0.015).The multivariate analysis showed that NH3(odds ratio[OR]=1.027,95%confidence interval[CI]:1.006-1.049,P=0.012),MELD score(OR=1.103,95%CI:1.011-1.203,P=0.027],and the incidence rate of shock(OR=6.326,95%CI:1.533-26.101,P=0.011)were independent risk factors for 28-day mortality in ALD-ACLF patients comorbid with infection.Based on these factors,a predictive model was established as Y=0.027×NH3+0.098×MELD score+1.845×shock-4.111.The ROC curve analysis showed that the new model had an AUC of 0.861,a sensitivity of 77.78%,and a specificity of 88.68%,while MELD score had an AUC of 0.776,a sensitivity of 77.78%,and a specificity of 67.92%,suggesting that the new model had a significantly higher diagnostic value than MELD score(Z=2.136,P=0.032 6).Conclusion ALD-ACLF patients with infection tend to have a poor short-term prognosis,and MELD score,NH3,and shock are influencing factors for the short-term prognosis of such patients.The combination of these three factors has a high value in predicting short-term prognosis.

Objective To explore the independent risk factors influencing the poor prognosis after transnasal-intestinal obstruction catheterization under endoscopic ultrasound,construct a nomogram for predicting poor postoperative prognosis,and conduct external validation of the nomogram.Methods Clinical data of 451 patients with intestinal obstruction who underwent endoscopic ultrasound transnasal-intestinal obstruction catheterization from February 2019 to February 2022 were collected to establish a nomogram.Then,194 sets of data with the same conditions from February 2022 to February 2024 were collected as the external validation group to validate the model externally.The recovery at 30 d after operation was observed and divided into good prognosis group and poor prognosis group.Multivariate Logistic regression model was used to analyze the independent risk factors influencing the poor prognosis after transnasal-intestinal obstruction catheterization under endoscopic ultrasound.Using R 3.6.3 software and the RMS package,a nomogram model for predicting the risk of poor prognosis after intestinal obstruction catheterization under endoscopic ultrasound was constructed..The discrimination and consistency of the model were evaluated using receiver operator characteristic curve(ROC curve)and calibration curve.Results The patients in the poor prognosis group were older than those in the good prognosis group,the levels of C-reactive protein(CRP),procalcitonin(PCT)and neutrophil to lymphocyte ratio(NLR)were higher than those in the good prognosis group,the length of hospital stay was longer than that in the good prognosis group,and the proportion of diabetes,abdominal pain and hormone using were higher than those in the good prognosis group,body mass index(BMI),preoperative albumin level and preoperative nutritional support ratio were lower than those of the good prognosis group,with statistical significance(P<0.05).Multivariate Logistic regression analysis(introduction level was 0.05,exclusion level was 0.107)showed that:age≥68 years(OR＾=2.631,95%CI:1.927～3.593),BMI<22.31 kg/m2(OR＾=2.142,95%CI:1.436～3.195),preoperative albumin<32.47g/L(OR＾=1.962,95%CI:1.506～2.556)and preoperative nutritional non-support(OR＾=2.814,95%CI:1.401～5.654)were independent risk factors affecting the poor prognosis after endoscopic transnasal-intestinal obstruction catheterization(P<0.05).The column nomogram showed that old age,low BMI,low preoperative albumin,and no preoperative nutritional support all increased their corresponding weights.Internal and external validation results indicated good consistency and discrimination of the model.Conclusion age≥68 years,BMI<22.31 kg/m2,preoperative albumin<32.47 g/L,and no preoperative nutritional support are all independent risk factors affecting the ineffective of intestinal obstruction catheterization under endoscopic ultrasound.The nomogram model established in this study based on these four factors has high reliability and practicality.

Objective To identify key patterns of programmed cell death(PCD)and core genes during ischemia-reperfusion injury(IRI)in kidney transplantation.Methods Kidney transplant datasets were obtained from gene expression database,and PCD-related differentially expressed genes were screened.The non-negative matrix factorization algorithm was used to classify patients and analyze subtype-specific biological functions and key PCD patterns.Machine learning models combined with univariate Cox regression and Kaplan-Meier survival analysis were employed to identify core PCD genes during IRI in kidney transplantation and explore their correlation with key PCD patterns.A rat kidney transplant model was used to assess IRI severity through hematoxylin-eosin staining,serum creatinine(Scr),blood urea nitrogen(BUN),and Western blotting for key gene protein expression.Results Fourteen PCD-related genes were identified.Patients were classified into metabolic(subtype 1)and inflammatory(subtype 2)subtypes.Subtype 2 activated four key PCD patterns:pyroptosis,necroptosis,apoptosis and immunogenic cell death.The optimal model(XGBoost-CV:10 fold+Lasso-CV:10 fold)and survival analysis identified MCL1,BAG3,and RHOB as core PCD genes during IRI in kidney transplantation,which were broadly correlated with key PCD patterns.Experimental results showed that compared to the sham group,rats in the model group had more severe tubular injury,higher Scr and BUN levels,and increased BAG3,RHOB and MCL1 protein expression(all P<0.001).Conclusions These four PCD patterns are crucial in the pathogenesis of IRI in kidney transplantation.MCL1,BAG3 and RHOB may serve as potential biomarkers and therapeutic targets for IRI in kidney transplantation.

Objective To investigate the influencing factors for the short-term prognosis of patients with alcohol-related liver diseases-acute-on-chronic liver failure(ALD-ACLF)comorbid with infection.Methods A total of 89 ALD-ACLF patients with infection who were admitted to the Fifth Medical Center of PLA General Hospital from January 2019 to December 2021 were enrolled as subjects,and related clinical data were collected at baseline(time of patient enrollment).According to the 28-day survival status of patients,they were divided into survival group with 53 patients and death group with 36 patients,and baseline clinical data were compared between the two groups.The t-test was used for comparison of normally distributed continuous data between groups,and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between groups;the chi-square test was used for comparison of categorical data between groups.A non-conditional Logistic regression analysis was used to perform the multivariate analysis.The Z-test was used for comparison of the area under the ROC curve(AUC),and the diagnostic value of the model was assessed.Results Compared with the survival group,the death group had significantly higher hemoglobin(t=-2.397,P=0.019),alanine aminotransferase(Z=-3.437,P=0.001),gamma-glutamyl transpeptidase(Z=-2.617,P=0.009),creatinine(Z=-3.938,P<0.001),blood urea nitrogen(Z=-3.423,P=0.001),NH3(Z=-4.406,P<0.001),international normalized ratio(Z=-3.428,P=0.001),C-reactive protein(Z=-2.128,P=0.033),procalcitonin(Z=-2.441,P=0.015),Model for End-Stage Liver Disease(MELD)score(t=-4.817,P<0.001),incidence rate of acute kidney injury(χ2=21.602,P<0.001),incidence rate of pulmonary infection(χ2=4.866,P=0.027),and incidence rate of shock(χ2=16.285,P<0.001),as well as significantly lower albumin(Z=-2.473,P=0.013)and incidence rate of abdominal infection(χ2=5.897,P=0.015).The multivariate analysis showed that NH3(odds ratio[OR]=1.027,95%confidence interval[CI]:1.006-1.049,P=0.012),MELD score(OR=1.103,95%CI:1.011-1.203,P=0.027],and the incidence rate of shock(OR=6.326,95%CI:1.533-26.101,P=0.011)were independent risk factors for 28-day mortality in ALD-ACLF patients comorbid with infection.Based on these factors,a predictive model was established as Y=0.027×NH3+0.098×MELD score+1.845×shock-4.111.The ROC curve analysis showed that the new model had an AUC of 0.861,a sensitivity of 77.78%,and a specificity of 88.68%,while MELD score had an AUC of 0.776,a sensitivity of 77.78%,and a specificity of 67.92%,suggesting that the new model had a significantly higher diagnostic value than MELD score(Z=2.136,P=0.032 6).Conclusion ALD-ACLF patients with infection tend to have a poor short-term prognosis,and MELD score,NH3,and shock are influencing factors for the short-term prognosis of such patients.The combination of these three factors has a high value in predicting short-term prognosis.

Objective To explore the independent risk factors influencing the poor prognosis after transnasal-intestinal obstruction catheterization under endoscopic ultrasound,construct a nomogram for predicting poor postoperative prognosis,and conduct external validation of the nomogram.Methods Clinical data of 451 patients with intestinal obstruction who underwent endoscopic ultrasound transnasal-intestinal obstruction catheterization from February 2019 to February 2022 were collected to establish a nomogram.Then,194 sets of data with the same conditions from February 2022 to February 2024 were collected as the external validation group to validate the model externally.The recovery at 30 d after operation was observed and divided into good prognosis group and poor prognosis group.Multivariate Logistic regression model was used to analyze the independent risk factors influencing the poor prognosis after transnasal-intestinal obstruction catheterization under endoscopic ultrasound.Using R 3.6.3 software and the RMS package,a nomogram model for predicting the risk of poor prognosis after intestinal obstruction catheterization under endoscopic ultrasound was constructed..The discrimination and consistency of the model were evaluated using receiver operator characteristic curve(ROC curve)and calibration curve.Results The patients in the poor prognosis group were older than those in the good prognosis group,the levels of C-reactive protein(CRP),procalcitonin(PCT)and neutrophil to lymphocyte ratio(NLR)were higher than those in the good prognosis group,the length of hospital stay was longer than that in the good prognosis group,and the proportion of diabetes,abdominal pain and hormone using were higher than those in the good prognosis group,body mass index(BMI),preoperative albumin level and preoperative nutritional support ratio were lower than those of the good prognosis group,with statistical significance(P<0.05).Multivariate Logistic regression analysis(introduction level was 0.05,exclusion level was 0.107)showed that:age≥68 years(OR＾=2.631,95%CI:1.927～3.593),BMI<22.31 kg/m2(OR＾=2.142,95%CI:1.436～3.195),preoperative albumin<32.47g/L(OR＾=1.962,95%CI:1.506～2.556)and preoperative nutritional non-support(OR＾=2.814,95%CI:1.401～5.654)were independent risk factors affecting the poor prognosis after endoscopic transnasal-intestinal obstruction catheterization(P<0.05).The column nomogram showed that old age,low BMI,low preoperative albumin,and no preoperative nutritional support all increased their corresponding weights.Internal and external validation results indicated good consistency and discrimination of the model.Conclusion age≥68 years,BMI<22.31 kg/m2,preoperative albumin<32.47 g/L,and no preoperative nutritional support are all independent risk factors affecting the ineffective of intestinal obstruction catheterization under endoscopic ultrasound.The nomogram model established in this study based on these four factors has high reliability and practicality.

Objective To identify key patterns of programmed cell death(PCD)and core genes during ischemia-reperfusion injury(IRI)in kidney transplantation.Methods Kidney transplant datasets were obtained from gene expression database,and PCD-related differentially expressed genes were screened.The non-negative matrix factorization algorithm was used to classify patients and analyze subtype-specific biological functions and key PCD patterns.Machine learning models combined with univariate Cox regression and Kaplan-Meier survival analysis were employed to identify core PCD genes during IRI in kidney transplantation and explore their correlation with key PCD patterns.A rat kidney transplant model was used to assess IRI severity through hematoxylin-eosin staining,serum creatinine(Scr),blood urea nitrogen(BUN),and Western blotting for key gene protein expression.Results Fourteen PCD-related genes were identified.Patients were classified into metabolic(subtype 1)and inflammatory(subtype 2)subtypes.Subtype 2 activated four key PCD patterns:pyroptosis,necroptosis,apoptosis and immunogenic cell death.The optimal model(XGBoost-CV:10 fold+Lasso-CV:10 fold)and survival analysis identified MCL1,BAG3,and RHOB as core PCD genes during IRI in kidney transplantation,which were broadly correlated with key PCD patterns.Experimental results showed that compared to the sham group,rats in the model group had more severe tubular injury,higher Scr and BUN levels,and increased BAG3,RHOB and MCL1 protein expression(all P<0.001).Conclusions These four PCD patterns are crucial in the pathogenesis of IRI in kidney transplantation.MCL1,BAG3 and RHOB may serve as potential biomarkers and therapeutic targets for IRI in kidney transplantation.

Objective:To investigate the contributing factors to elevated blood pressure in borderline cases during medical selection for recruitment of Air Force flying cadets in order to enhance the accuracy of selection.Methods:Blood pressure was measured among 2 350 male high school graduates in the 2022 re-selection phase of medical selection of Air Force flying cadets. None of the participants had a family history of hypertension according to previous health checkups. Identified through blood pressure measurement, subjects with borderline hypertension were assigned to an intervention group (self-intervention with personalized correction plans) and a control group (self-intervention alone) using a random number table. Standardized blood pressure measurements and comprehensive medical history reviews were performed to compare pre- and post-intervention outcomes across the 2 groups, followed by an investigation into the causative mechanisms of elevated blood pressure.Results:Among the 102 cases of borderline hypertension (51 per group) identified, primary contributing factors included the white-coat phenomenon (41.2%), pre-examination physical activity (17.6%), pre-examination medications (3.9%) and poor sleep quality (35.3%). No significant differences in systolic blood pressure (SBP) or diastolic blood pressure (DBP) were observed between the 2 groups at baseline (both P>0.05). After interventions, the intervention group showed significantly lower SBP ( t=3.13, P=0.002) and DBP ( t=7.68, P<0.001) than the control group. Both groups exhibited reductions in SBP and DBP from baseline ( t=6.63, 8.97, 4.13, 2.03, P<0.001, <0.001, <0.001, =0.043). The percentage of students with normal blood pressure was 96.1% (49/51) in the intervention group and 78.4% (40/51) in the control group. Conclusions:Transient blood pressure elevation in selection settings primarily stems from the white-coat phenomenon, physical exertion, medications and sleep disturbances. Standardizing blood pressure measurement protocols and addressing transient factors can help avoid unwarranted disqualifications and ensure the accuracy of selection.