Objective To explore the role and mechanism of warm malate ringer's solution(MR)in resuscitation of the lethal triad caused by severe trauma.Methods A rat model of severe trauma was established in SPF-grade SD rats(half male and half female,weighing 200～220 g)using combined multiple injuries and hemorrhagic shock,and the rats were randomly divided into 8 groups(n=8):Sham group,only arterial and venous catheterization;Trauma(Tra)groups with different time points(10,30,60,90,120,180 min)and a Trauma group that were observed without any treatment for 180 min after model establishment.The changes of activated clotting time(ACT),reaction time(R),maximum amplitude(MA),and rate of blood clot formation(Angle)at different time points were detected by using thromboelastography,and tail bleeding,core body temperature and arterial blood gas parameters,were also observed and detected.The plasma von Willebrand Factor(vWF)level,mitochondrial respiratory control ratio in pulmonary venous endothelium,and expression levels of vascular endothelial cadherin(VE-Cadherin),peroxisome proliferator activating receptor gamma coactivator 1α(PGC1α),dynamin-related protein 1(Drp1),p-Drp1,and mitofusin 2(Mfn2)were detected to evaluate the vascular endothelial injury and mitochondrial dysfunction.Another group of SD rats were randomly divided into severe trauma group(no treatment for 180 min after injury),and MR solution at room temperature and at 37 ℃ groups.MR solution at room temperature or at 37 ℃ was given to the rats using a medical blood transfusion apparatus at 60 min post-trauma.Above indicators were observed and detected to investigate the resuscitation effect of the MR solution.Results Compared with the Sham group,the severely traumatic rats at 180 min after injury had significantly prolonged ACT and R values(P＜0.05),shortened MA and decreased Angle values(P＜0.05),extended tail bleeding time(P＜0.05),lower partial pressure of carbon dioxide(PCO2)and HCO3-and base excess(BE)levels(P＜0.05),and continuously increasing K+(P＜0.05)and decreasing Na+(P＜0.05)and Ca2+levels(P＜0.05).Additionally,plasma vWF level(P＜0.05)and protein levels of VE-cadherin,PGC1α and Mfn2 in pulmonary vein endothelium were significantly reduced(P＜0.05),the expression of p-Drp1 was enhanced and the mitochondrial respiration control rate was declined in the rats at 180 min after injury(P＜0.05).MR solution resuscitation shortened tail bleeding time(P＜0.05),increased core body temperature(P＜0.05),elevated plasma vWF level(P＜0.05),increased protein levels of VE-cadherin,PGC1α and Mfn2(P＜0.05),and decreased that of p-Drp1 protein expression(P＜0.05)when compared with the rats at 180 min after severe traumatic injury.The above effects were more significant in the rats infused with the solution at 37 ℃ than those at room temperature.Conclusion Warm MR solution significantly improves the lethal triad in rats after severe trauma,which may be associated with its improving mitochondrial function and attenuating vascular endothelial damage.

ObjectiveTo explore the current situation， causes， and countermeasures of medical disputes in a tertiary A comprehensive hospital in Xi’an from 2018 to 2023. MethodsA total of 804 medical dispute cases that had been processed in a tertiary A hospital in Xi’an from January 2018 to December 2023 were collected. The occurrence， current characteristics， and cause distribution of medical disputes were retrospectively analyzed. ResultsThe cumulative incidence rate of medical disputes was 4.408/100，000， and the compensation rate was 31.59% （254/804）. The incidence and compensation rate of medical disputes showed an overall increasing trend year by year from 2018 to 2023 （P<0.05）. The proportion of deceased patients in dispute cases in the past 6 years showed an increasing trend annually （χ²=30.396， P=0.011）. Medical dispute cases mainly came from hospitalized patients （65.17%） and patients undergoing surgical treatment （55.35%）， and the top five departments with medical dispute cases were the hepatobiliary surgery department， cardiovascular medicine department， obstetrics and gynecology department， emergency department， and gastroenterology department. The number of in-hospital mediations showed a decreasing trend annually， while the number of people’s mediations showed an increasing trend annually from 2018 to 2023 （χ²=34.523， P<0.001）. The top five causes of medical disputes in this hospital were surgical/operational complications （29.10%）， disease condition assessment/disease diagnosis （10.45%）， diagnosis and treatment plan （9.45%）， diagnosis and treatment effectiveness （8.83%）， and medical insurance reimbursement （7.59%）. ConclusionThe number of medical disputes and compensation cases in comprehensive hospitals is increasing annually， and high-risk departments such as the surgical department and emergency department need to be given high attention. The handling of medical disputes has shown diversification， with people’s mediation gradually taking the dominant position. The causes of medical disputes mainly concentrated on diagnosis and treatment technology， doctor-patient communication， medical insurance， and other aspects. It is necessary to continuously improve the level of clinical diagnosis and treatment technology， strengthen doctor-patient communication， improve the medical insurance system， strengthen hospital connotation management， alleviate doctor-patient conflicts， and builds a harmonious doctor-patient relationship.

Objective To elucidate the mechanisms of trauma-induced coagulopathy(TIC),clarify the specific pathogenic factors and pathophysiological processes,and discover the effective diagnostic indicators and therapeutic targets.Methods Transcriptomic data of traumatic hemorrhagic shock patients were obtained from the Gene Expression Omnibus(GEO)to identify differentially expressed genes(DEGs).Coagulation-related genes(CRGs)from the Kyoto Encyclopedia of Genes and Genomes(KEGG)were intersected with DEGs.Machine learning algorithms,including least absolute shrinkage and selection operator(LASSO)and random forest(RF),were applied to identify key genes.The CIBERSORT algorithm was used to analyze the correlation between key genes and immune cell infiltration.Through consensus clustering,subtype analysis was conducted on trauma patients to compare the infiltration of immune cells.A rat model of traumatic hemorrhagic shock was established to validate coagulation function and the expression of key genes.Results The dataset included samples from 17 healthy controls and 478 patients with traumatic hemorrhagic shock.A total of 6 315 DEGs were identified under the screening criterion of corrected P<0.05.Gene set enrichment analysis(GSEA)showed that the up-regulated DEGs were significantly enriched in the glucose metabolism pathway,while the down-regulated DEGs were enriched in the immune reaction-related pathways.Through cross-analysis of DEGs and CRGs,a total of 65 differentially expressed coagulation-related genes(DE-CRGs)were screened out.GO functional enrichment showed that these genes were mainly located in secreting granular membranes and platelet α-granules,and were involved in physiological processes such as blood coagulation,regulation of body fluid levels,and wound healing.KEGG pathway analysis revealed that these genes were significantly enriched in pathways such as platelet activation,complement and coagulation cascade reactions,Rap1 signaling pathway,and human cytomegalovirus infection.Six key DE-CRGs were identified through machine learning.Receiver operating characteristic(ROC)curve analysis indicated that these genes had good diagnostic efficacy.CIBERSORT analysis revealed a significant correlation between key genes and immune cell infiltration.Patients were classified into two subtypes based on the six key genes:subtype A was rich in CD8+T cells and activated NK cells,presented an immune-active state;subtype B was mainly composed of monocytes and resting NK cells,with insufficient activation of immune pathways.Animal experiments on rats showed that hemorrhagic shock can lead to coagulation dysfunction.The results of qRT-PCR further confirmed that the expression trend of key genes was consistent with the results of bioinformatics analysis.Conclusion In this study,through transcriptomics and machine learning methods,six key genes closely related to TIC were systematically screened out,namely GNA13,PIK3R3,ITGAM,MAPK14,PPP1CC and LYN,and their close connections with coagulation function and immune infiltration were revealed.Animal experiments have further verified the value of these genes as potential diagnostic and therapeutic targets.

Pancreatic duct stents are essential devices for managing chronic pancreatitis,ductal strictures,and postoperative fistula.Conventional plastic and metal stents effectively facilitate pancreatic drainage but often cause infection,restenosis,or migration upon long-term implantation.An ideal stent should provide excellent biocompatibility,efficient drainage,and controllable biodegradation.With advances in material science and medical-engineering integration,stent technology has evolved from inert implantation to intelligent degradation.Biodegradable polymers and metals,particularly magnesium alloys(Mg-Zn-Mn),offer tunable mechanical strength,corrosion resistance,and in vivo degradability.Mg-2Zn-1.0Mn alloy achieves balanced strength and corrosion control through compositional optimization and surface modification.Polymeric stents such as polylactic acid and polydioxanone demonstrate favorable drainage and avoid secondary removal.Composite biodegradable stents,exemplified by the multi-rate ARCHIMEDES model,have received international approval.Supported by 3D printing and smart functionalization-such as drug-eluting or shape-memory designs-next-generation pancreatic stents may achieve integrated functions of support,repair,and tumor inhibition.Future research should emphasize interdisciplinary material design,degradation kinetics under physiological conditions,and long-term biocompatibility to accelerate clinical translation.

Objective Metabolomics combined with machine learning algorithms was used to systematically study the preoperative serum metabolites of patients with early postoperative cognitive dysfunction(POCD)after heart valve replacement,so as to screen biomarkers that may predict early POCD after heart valve replacement and explore the corresponding metabolic regulatory mechanisms.Methods A total of 60 patients underwent heart valve replacement under extracorporeal circulation were selected and divided into early-POCD group(group P)and non-POCD group(group N)according to whether POCD occurred or not.Metabolomic analysis was performed on preoperative serum samples of patients in group P and group N to screen the differential metabolites and metabolic pathways.The biomarkers related to early POCD were identified by random forest algorithm.Results A total of 532 differential metabolites were detected by metabonomics analysis,and 5 biomarkers were screened by random forest algorithm,namely quinoline,3'-sialyllactose,sphingomyelin(d18∶1/20∶0),lysophosphatidylcholine[P-18∶1(9Z)]and 25-hydroxycholesterol.Among them,the main metabolic pathways were phenylalanine metabolism,primary bile acid biosynthesis,ascorbic acid and aldonate metabolism,pentose and glucuronate interconversion,tryptophan metabolism,drug metabolism-cytochrome P450,porphyrin and chlorophyll metabolism.Conclusion Many metabolic pathways in patients with early POCD after heart valve replacement under extracorporeal circulation have changed before operation,which may lead to the occurrence of early POCD.Quinoline,3'-sialyllactose,sphingomyelin(d18∶1/20∶0),lysophosphatidylcholine[P-18∶1(9Z)]and 25-hydroxycholesterol may be biomarkers for predicting early POCD.

Objective To elucidate the mechanisms of trauma-induced coagulopathy(TIC),clarify the specific pathogenic factors and pathophysiological processes,and discover the effective diagnostic indicators and therapeutic targets.Methods Transcriptomic data of traumatic hemorrhagic shock patients were obtained from the Gene Expression Omnibus(GEO)to identify differentially expressed genes(DEGs).Coagulation-related genes(CRGs)from the Kyoto Encyclopedia of Genes and Genomes(KEGG)were intersected with DEGs.Machine learning algorithms,including least absolute shrinkage and selection operator(LASSO)and random forest(RF),were applied to identify key genes.The CIBERSORT algorithm was used to analyze the correlation between key genes and immune cell infiltration.Through consensus clustering,subtype analysis was conducted on trauma patients to compare the infiltration of immune cells.A rat model of traumatic hemorrhagic shock was established to validate coagulation function and the expression of key genes.Results The dataset included samples from 17 healthy controls and 478 patients with traumatic hemorrhagic shock.A total of 6 315 DEGs were identified under the screening criterion of corrected P<0.05.Gene set enrichment analysis(GSEA)showed that the up-regulated DEGs were significantly enriched in the glucose metabolism pathway,while the down-regulated DEGs were enriched in the immune reaction-related pathways.Through cross-analysis of DEGs and CRGs,a total of 65 differentially expressed coagulation-related genes(DE-CRGs)were screened out.GO functional enrichment showed that these genes were mainly located in secreting granular membranes and platelet α-granules,and were involved in physiological processes such as blood coagulation,regulation of body fluid levels,and wound healing.KEGG pathway analysis revealed that these genes were significantly enriched in pathways such as platelet activation,complement and coagulation cascade reactions,Rap1 signaling pathway,and human cytomegalovirus infection.Six key DE-CRGs were identified through machine learning.Receiver operating characteristic(ROC)curve analysis indicated that these genes had good diagnostic efficacy.CIBERSORT analysis revealed a significant correlation between key genes and immune cell infiltration.Patients were classified into two subtypes based on the six key genes:subtype A was rich in CD8+T cells and activated NK cells,presented an immune-active state;subtype B was mainly composed of monocytes and resting NK cells,with insufficient activation of immune pathways.Animal experiments on rats showed that hemorrhagic shock can lead to coagulation dysfunction.The results of qRT-PCR further confirmed that the expression trend of key genes was consistent with the results of bioinformatics analysis.Conclusion In this study,through transcriptomics and machine learning methods,six key genes closely related to TIC were systematically screened out,namely GNA13,PIK3R3,ITGAM,MAPK14,PPP1CC and LYN,and their close connections with coagulation function and immune infiltration were revealed.Animal experiments have further verified the value of these genes as potential diagnostic and therapeutic targets.

Pancreatic duct stents are essential devices for managing chronic pancreatitis,ductal strictures,and postoperative fistula.Conventional plastic and metal stents effectively facilitate pancreatic drainage but often cause infection,restenosis,or migration upon long-term implantation.An ideal stent should provide excellent biocompatibility,efficient drainage,and controllable biodegradation.With advances in material science and medical-engineering integration,stent technology has evolved from inert implantation to intelligent degradation.Biodegradable polymers and metals,particularly magnesium alloys(Mg-Zn-Mn),offer tunable mechanical strength,corrosion resistance,and in vivo degradability.Mg-2Zn-1.0Mn alloy achieves balanced strength and corrosion control through compositional optimization and surface modification.Polymeric stents such as polylactic acid and polydioxanone demonstrate favorable drainage and avoid secondary removal.Composite biodegradable stents,exemplified by the multi-rate ARCHIMEDES model,have received international approval.Supported by 3D printing and smart functionalization-such as drug-eluting or shape-memory designs-next-generation pancreatic stents may achieve integrated functions of support,repair,and tumor inhibition.Future research should emphasize interdisciplinary material design,degradation kinetics under physiological conditions,and long-term biocompatibility to accelerate clinical translation.

Objective Metabolomics combined with machine learning algorithms was used to systematically study the preoperative serum metabolites of patients with early postoperative cognitive dysfunction(POCD)after heart valve replacement,so as to screen biomarkers that may predict early POCD after heart valve replacement and explore the corresponding metabolic regulatory mechanisms.Methods A total of 60 patients underwent heart valve replacement under extracorporeal circulation were selected and divided into early-POCD group(group P)and non-POCD group(group N)according to whether POCD occurred or not.Metabolomic analysis was performed on preoperative serum samples of patients in group P and group N to screen the differential metabolites and metabolic pathways.The biomarkers related to early POCD were identified by random forest algorithm.Results A total of 532 differential metabolites were detected by metabonomics analysis,and 5 biomarkers were screened by random forest algorithm,namely quinoline,3'-sialyllactose,sphingomyelin(d18∶1/20∶0),lysophosphatidylcholine[P-18∶1(9Z)]and 25-hydroxycholesterol.Among them,the main metabolic pathways were phenylalanine metabolism,primary bile acid biosynthesis,ascorbic acid and aldonate metabolism,pentose and glucuronate interconversion,tryptophan metabolism,drug metabolism-cytochrome P450,porphyrin and chlorophyll metabolism.Conclusion Many metabolic pathways in patients with early POCD after heart valve replacement under extracorporeal circulation have changed before operation,which may lead to the occurrence of early POCD.Quinoline,3'-sialyllactose,sphingomyelin(d18∶1/20∶0),lysophosphatidylcholine[P-18∶1(9Z)]and 25-hydroxycholesterol may be biomarkers for predicting early POCD.

Objective To observe the ameliorative effect of inhibiting acetyl-CoA carboxylase 2(ACC2)on cardiac dysfunction in septic mice and investigate its underlying mechanism.Methods Mouse model of sepsis was established by cecal ligation and perforation.A total of 24 male C57BL/6 mice(aged 8 weeks,weighing 20～25 g)were divided into sham operation group,sepsis group and ND-630+sepsis group.The cardiac specific ACC2 knockout(ACC2△CM)mice were constructed by Cre-LoxP recombinase system,and ACC2flox/flox Myh6-Cre-(ACC2fl/fl)mice were used as control.Several genetically engineered mice(8 weeks old,20～25 g,male)were divided into ACC2fl/fl+sham operation group,ACC2fl/fl+sepsis group,ACC2△CM+sepsis group,ACC2△CM+Mal-CoA+sepsis group,and ACC2△CM+sham operation group according to the random number table method.The contractile function and myofilament calcium sensitivity of cardiomyocytes were measured by a cell microtensiometer.Western blotting was used to detect the expression level of ACC2,and ELISA was employed to measure the level of malonyl-CoA(Mal-CoA)in myocardial tissue.The survival of the mice in 36 h after sepsis was observed.Results Compared with the sham operation group,the contraction amplitude of cardiomyocytes in sepsis group was decreased markedly,and the calcium sensitivity decreased significantly as well(P＜0.05).Based on the ACC2fl/fl+sham operation group,the ACC2△CM+sepsis group showed significant improvement in myocardial contraction compared with the ACC2fl/fl+sepsis group,with the contraction amplitude of cardiomyocytes recovered by 48.1％,and significantly restored calcium sensitivity(P＜0.05).ACC2△CM+Mal-CoA+sepsis group showed a notable decrease in myocardial cell contraction amplitude and a significant decrease in calcium sensitivity when compared to the ACC2△CM+sepsis group(P＜0.05).Compared with the sepsis group,the contraction amplitude of cardiomyocytes in the ND-630+sepsis group increased significantly,and the calcium sensitivity of myofilament also increased(P＜0.05).The expression level of ACC2 protein in the myocardial tissue of mice in the sepsis group increased compared to the sham operation group(P＜0.05).The level of myocardial Mal-CoA in the sepsis group was higher than that in the sham operation group(P＜0.05);Mal-CoA level in the myocardium of ACC2△CM+sepsis group mice was lower than that of sepsis group(P＜0.05).The 36-hour survival rate of the ACC2△CM+sepsis group.mice was 37.5％higher than that of the ACC2fl/fl+sepsis group mice.(P＜0.05).Conclusion Inhibition of ACC2 exerts a protective effect on myocardial contractility and calcium sensitivity in septic mice by reducing Mal-CoA.

Sesquiterpenoids are widely found in nature, while nitrobenzoyl sesquiterpenoids are relatively rare. Twelve natural nitrobenzoyl sesquiterpenoids were all derived from marine Aspergillus fungi, which are typical natural products with marine characteristics. These natural products exhibit good antitumor, antiviral, and inhibition of osteoclast differentiation activity, especially in the treatment of osteoclast-related diseases, showing good medicinal development value. This article reviews the natural product sources, chemical structure, chemical synthesis, biosynthesis, bioactivity, and pharmacological mechanisms of nitrobenzoyl sesquiterpenoids and predicts and discusses their absorption, distribution, metabolism, excretion, toxicity (ADME/T), and drug-likeness, providing a comprehensive understanding of the natural products of nitrobenzoyl sesquiterpenoids from marine sources and their potential for pharmaceutical development.