Organ transplantation is a crucial approach for saving patients with end-stage organ failure. However, transplant organs are frequently subjected to various pathological insults, such as ischemia-reperfusion injury and rejection during the processes of procurement, preservation and revascularization, which severely compromise graft survival and function. Endothelial dysfunction represents a core determinant of graft function and transplant outcomes. Factors including ischemia-reperfusion injury, rejection, immunosuppressive drug use and cytomegalovirus infection drive endothelial dysregulation through diverse acute or chronic mechanisms. In the acute phase, endothelial injury contributes to delayed graft function and acute rejection, while in the chronic phase, it manifests as graft vasculopathy, ultimately leading to graft failure. This review summarizes the key pathophysiological mechanisms underlying endothelial injury in organ transplantation, its clinical consequences and preventive and therapeutic strategies, aiming to provide insights for improving endothelial function and transplant outcomes.

Objective To explore the action mechanism of Bruton's tyrosine kinase (BTK) inhibitor zanubrutinib on renal fibrosis after renal ischemia-reperfusion injury (RIRI). Methods C57BL/6 mice were randomly divided into sham operation group, modeling group and modeling + zanubrutinib treatment group (zanubrutinib group), with 5 mice in each group. The groups underwent sham operation, RIRI modeling and RIRI modeling + zanubrutinib (5 mg/kg) treatment, respectively. Tissues were collected after 21 days. The morphological changes of the kidneys, histopathological changes, levels of M1 macrophages in the kidneys, inflammatory responses in the kidneys, and the expression of related inflammatory signaling pathways of macrophages induced by lipopolysaccharide(LPS) + interferon(IFN)-γ in vitro after lentivirus transfection were observed. Results Compared with the sham operation group, the kidneys of the modeling group mice shrank, the ratio of unilateral kidney weight to mouse body weight decreased, renal tubular interstitial fibrosis worsened, and the expression of α-smooth muscle actin (α-SMA) and type I collagen in the kidneys increased. The expression of F4/80 and CD86 in the kidneys increased, the lumen of the renal proximal convoluted tubules was significantly dilated, cellular debris accumulated in the lumen and inflammatory cell infiltration occurred, and the messenger RNA (mRNA) levels of CD86, tumor necrosis factor (TNF)-α, interleukin (IL)-6, inducible nitric oxide synthase (iNOS) and IL-1β in the kidneys increased. Compared with the modeling group, the kidneys of the zanubrutinib group mice enlarged after RIRI, the ratio of unilateral kidney weight to mouse body weight increased, renal tubular interstitial fibrosis was alleviated, and the expression of α-SMA and type I collagen in the kidneys decreased. The expression of F4/80 and CD86 in the kidneys decreased, the number of CD45⁺ lymphocytes and CD11b⁺ F4/80⁺ macrophages in the kidneys decreased, the infiltration of CD11b⁺ F4/80⁺ and CD86⁺ macrophages in the damaged tissue decreased, the degree of renal inflammatory pathological changes was milder, and the mRNA levels of CD86, TNF-α, IL-6, iNOS and IL-1β in the kidneys decreased. In vitro experiments using LPS+IFN-γ to induce M1-type macrophages found that the phosphorylation levels of phosphatidylinositol-3-kinase (PI3K), protein kinase B (Akt), and nuclear factor (NF)-κB increased, while the phosphorylation levels decreased after BTK knockdown, indicating that BTK knockdown may inhibit the PI3K/Akt and NF-κB related inflammatory signaling pathways, thereby reducing the pro-inflammatory effects of LPS+IFN-γ induced M1-type macrophages. Conclusions Zanubrutinib may alleviate renal fibrosis after RIRI by inhibiting the PI3K/Akt and NF-κB related inflammatory signaling pathways, reducing the infiltration of M1 macrophages and the expression of related inflammatory factors, providing potential evidence for its clinical application.

Objective:In view of the incomplete evaluation system of actual combat injury treatment ability of grassroots officers and soldiers at present, this paper aims to construct a multi-dimensional evaluation system for combat injury treatment to provide theoretical guidance and evaluation means for warfighting-oriented training on combat injury treatment.Methods:Through literature review, expert consultation, and hierarchical analysis, we determined the factors to evaluate the comprehensive ability of field first aid for combat injuries of grassroots officers and soldiers from the perspective of actual combat, and then established a system for evaluating the actual combat injury treatment ability of grassroots officers and soldiers, in which the weights of factors in each dimension were determined.Results:An evaluation system of actual combat injury treatment ability of grassroots officers and soldiers was formed, which included 4 first-level indices and 16 second-level indices in tactics, strategies, treatment, and protection dimensions.Conclusions:The established evaluation system can provide a reference for actual combat injury treatment training at the grassroots level.

Objective:To identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.

Objective:In view of the incomplete evaluation system of actual combat injury treatment ability of grassroots officers and soldiers at present, this paper aims to construct a multi-dimensional evaluation system for combat injury treatment to provide theoretical guidance and evaluation means for warfighting-oriented training on combat injury treatment.Methods:Through literature review, expert consultation, and hierarchical analysis, we determined the factors to evaluate the comprehensive ability of field first aid for combat injuries of grassroots officers and soldiers from the perspective of actual combat, and then established a system for evaluating the actual combat injury treatment ability of grassroots officers and soldiers, in which the weights of factors in each dimension were determined.Results:An evaluation system of actual combat injury treatment ability of grassroots officers and soldiers was formed, which included 4 first-level indices and 16 second-level indices in tactics, strategies, treatment, and protection dimensions.Conclusions:The established evaluation system can provide a reference for actual combat injury treatment training at the grassroots level.

Objective:To identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.

Ischemia-reperfusion injury (IRI) is an extremely complicated pathophysiological process, which may occur during the process of myocardial infarction, stroke, organ transplantation and temporary interruption of blood flow during surgery, etc. As key molecules of immune system, macrophages play a vital role in the pathogenesis of IRI. M1 macrophages are pro-inflammatory cells and participate in the elimination of pathogens. M2 macrophages exert anti-inflammatory effect and participate in tissue repair and remodeling and extracellular matrix remodeling. The balance between macrophage phenotypes is of significance for the outcome and treatment of IRI. This article reviewed the role of macrophages in IRI, including the balance between M1/M2 macrophage phenotype, the mechanism of infiltration and recruitment into different ischemic tissues. In addition, the potential therapeutic strategies of targeting macrophages during IRI were also discussed, aiming to provide reference for alleviating IRI and promoting tissue repair.

Objective:To systematically review the factors related to the aggressive behavior of hospitalized patients with schizophrenia in China.Methods:CNKI,Wanfang,VIP,China Biomedical Literature Database,PubMed,Cochrane Library,and Embase databases were searched to collect case-control studies on factors related to aggression in hospitalized patients with schizophrenia in China from its inception to June 2023.Analysis was per-formed using ReviewManager 5.3 to calculate pooled OR(95％CI)values.Results:Thirty-three studies were in-cluded.Medical staff coercive measures(OR=3.86,95％CI:2.75-5.43),unemployment(OR=1.44,95％CI:1.14-1.81),positive family history(OR=2.97,95％CI:2.29-3.87),poor medication compliance(OR=4.37,95％CI:3.36-5.69),young age(OR=3.13,95％CI:2.66-3.69),involuntary hospitalization(OR=3.34,95％CI:2.81-3.97),depression(OR=2.11,95％CI:1.68-2.66),emotional abuse(OR=1.13,95％CI:1.04-1.23),male(OR=2.70,95％CI:2.20-3.31),delusions(OR=2.14,95％CI:1.69-2.71),auditory hallucina-tions(OR=2.23,95％CI:1.70-2.94),and major life events(OR=3.21,95％CI:1.90-5.42)and previous history of aggressive behavior(OR=2.20,95％CI:2.06-2.34)were risk factors associated with aggressive be-havior in Chinese patients with schizophrenia,and social support(OR=0.46,95％CI:0.31-0.67)was a protec-tive factor.Conclusion:There are various factors related to aggressive behavior in hospitalized Chinese patients with schizophrenia,and medical staff should identify high-risk groups early according to the relevant factors,and effec-tively intervene in controllable factors to reduce the occurrence of aggressive behavior.

Objective To develop a mammogram microcalcification detection model(DL model)based on Attention U-Net for realizing the efficient detection of microcalcifications,and to investigate the effects of breast density and microcalcification type on the microcalcification detection performance of the DL model.Methods A retrospective analysis was performed on 694 images from 347 patients undergoing mammography.Through the independent image diagnosis by junior physicians and review by senior physicians,the reference standard for microcalcification detection was established.Neural network training was performed to establish a DL model.The performance of the model for microcalcification detection was evaluated using precision rate,recall rate,intersection over union(IoU)and F1-score which were calculated based on calcification area or quantity;and the effects of microcalcification type(benignvsmalignant)and breast density(a+bvsc+d)on the model performance were also analyzed.Results For detecting microcalcifications by the DL model,the precision rate,recall rate,IoU and F1-score were 85.12%±18.39%,78.18%±19.25%,68.29%±21.39%and 78.96%±17.70%when the calculation was based on calcification area,and those were 76.72%±19.85%,85.12%±18.39%,67.13%±23.84%and 77.65%±9.37%when the calculation was based on calcification quantity.The differences in precision rate,recall rate,IoU,F1-score of DL model in different microcalcification types(benignvsmalignant)and breast densities(a+bvsc+d)were insignificant.Conclusion The developed mammogram microcalcification detection model based on Attention U-Net can effectively detect breast microcalcifications and is conducive to the quantitative research on breast microcalcifications.Meanwhile,the model exhibits high stability,and the breast density and microcalcification type have trivial effects on the microcalcification detection performance of the model.

Objective To evaluate the factors affecting urinary stone detection rate using virtual unenhanced(VUE)images obtained from triphasic dual-energy CT urography(DECTU)based on Logistic regression analysis.Methods For this study,150 patients who had suspected urinary stone and underwent triphasic DECTU were included.The true unenhanced(TUE)images were reconstructed as 120 kVp-like images,and VUE images at the portal venous phase[VUE(VP)]and excretory phase[VUE(EP)]were obtained using iodine removal technique from portal venous and excretory phase DECTU images,respectively.Two readers independently evaluated the above three types of images,and recorded the number of urinary stones,their anatomical locations,and whether there was residual iodine on the VUE images.Stone size and CT number were recorded only on the TUE images.Stone size,CT number,anatomical location,and iodine contrast agent were included in univariate and multivariate Logistic regression analyses to evaluate the factors affecting urinary stone detection rate using VUE images.Thresholds for detecting urinary stones on VUE images were determined using receiver operating characteristics(ROC)analysis.Results We detected 304 stones on TUE images,while the detection rates were 92.4％and 71.4％when using VUE(VP)and VUE(EP)images,respectively.Stone size and CT number were important factors influencing urinary stone detection rate using VUE(VP)and VUE(EP)images(P＜0.01).The area under curve(AUC)of using stone size and CT number for detecting stones using the VUE(VP)images was up to 0.96,and as threshold values,stones with size larger than 3.52 mm and CT number greater than 469 HU were found to have high accuracy.However,the AUC decreased to 0.88 when we combined stone size,CT number and anatomical location using the VUE(EP)images.In addition,different contrast agents did not affect the detection rate of stones on the VUE(EP)images(P=0.57).The stone detection rate in the kidney was significantly lower than those on the VUE(EP)images(P＜0.001).Conclusion VUE(VP)images provide better stone detection.Stone size and CT number have significant impacts on the stone detection rate using VUE images.The lower stone detection rate in the kidney on the VUE(EP)images is related to the residual iodine.