Animal experiments are widely used in biomedical research for safety assessment, toxicological analysis, efficacy evaluation, and mechanism exploration. In recent years, the ethical review system has become more stringent, and awareness of animal welfare has continuously increased. To promote more efficient and cost-effective drug research and development, the United States passed the Food and Drug Administration (FDA) Modernization Act 2.0 in September 2022, which removed the federal mandate requiring animal testing in preclinical drug research. In April 2025, the FDA further proposed to adopt a series of "new alternative methods" in the research and development of drugs such as monoclonal antibodies, which included artificial intelligence computing models, organoid toxicity tests, and 3D micro-physiological systems, thereby gradually phasing out traditional animal experiment models. Among these cutting-edge technologies, 3D bioprinting models are a significant alternative and complement to animal models, owing to their high biomimetic properties, reproducibility, and scalability. This review provides a comprehensive overview of advancements and applications of 3D bioprinting technology in the fields of biomedical and pharmaceutical research. It starts by detailing the essential elements of 3D bioprinting, including the selection and functional design of biomaterials, along with an explanation of the principles and characteristics of various printing strategies, highlighting the advantages in constructing complex multicellular spatial structures, regulating microenvironments, and guiding cell fate. It then discusses the typical applications of 3D bioprinting in drug research and development,including high-throughput screening of drug efficacy by constructing disease models such as tumors, infectious diseases, and rare diseases, as well as conducting drug toxicology research by building organ-specific models such as those of liver and heart. Additionally,the review examines the role of 3D bioprinting in tissue engineering, discussing its contributions to the construction of functional tissues such as bone, cartilage, skin, and blood vessels, as well as the latest progress in regeneration and replacement. Furthermore, this review analyzes the complementary advantages of 3D bioprinting models and animal models in the research of disease progression, drug mechanisms, precision medicine, drug development, and tissue regeneration, and discusses the potential and challenges of their integration in improving model accuracy and physiological relevance. In conclusion, as a cutting-edge in vitro modeling and manufacturing technology, 3D bioprinting is gradually establishing a comprehensive application system covering disease modeling, drug screening, toxicity prediction, and tissue regeneration.

Animal experiments are widely used in biomedical research for safety assessment, toxicological analysis, efficacy evaluation, and mechanism exploration. In recent years, the ethical review system has become more stringent, and awareness of animal welfare has continuously increased. To promote more efficient and cost-effective drug research and development, the United States passed the Food and Drug Administration (FDA) Modernization Act 2.0 in September 2022, which removed the federal mandate requiring animal testing in preclinical drug research. In April 2025, the FDA further proposed to adopt a series of "new alternative methods" in the research and development of drugs such as monoclonal antibodies, which included artificial intelligence computing models, organoid toxicity tests, and 3D micro-physiological systems, thereby gradually phasing out traditional animal experiment models. Among these cutting-edge technologies, 3D bioprinting models are a significant alternative and complement to animal models, owing to their high biomimetic properties, reproducibility, and scalability. This review provides a comprehensive overview of advancements and applications of 3D bioprinting technology in the fields of biomedical and pharmaceutical research. It starts by detailing the essential elements of 3D bioprinting, including the selection and functional design of biomaterials, along with an explanation of the principles and characteristics of various printing strategies, highlighting the advantages in constructing complex multicellular spatial structures, regulating microenvironments, and guiding cell fate. It then discusses the typical applications of 3D bioprinting in drug research and development,including high-throughput screening of drug efficacy by constructing disease models such as tumors, infectious diseases, and rare diseases, as well as conducting drug toxicology research by building organ-specific models such as those of liver and heart. Additionally,the review examines the role of 3D bioprinting in tissue engineering, discussing its contributions to the construction of functional tissues such as bone, cartilage, skin, and blood vessels, as well as the latest progress in regeneration and replacement. Furthermore, this review analyzes the complementary advantages of 3D bioprinting models and animal models in the research of disease progression, drug mechanisms, precision medicine, drug development, and tissue regeneration, and discusses the potential and challenges of their integration in improving model accuracy and physiological relevance. In conclusion, as a cutting-edge in vitro modeling and manufacturing technology, 3D bioprinting is gradually establishing a comprehensive application system covering disease modeling, drug screening, toxicity prediction, and tissue regeneration.

Objective To evaluate the predictors of recurrent in-stent restenosis(R-ISR)occurrence in drug-eluting stents(DES).Methods A total of 201 patients with ISR who received percutaneous coronary intervention(PCI)surgery in the First Medical Center of the Chinese PLA General Hospital from January 2010 to August 2023 were selected as the study objects,and the patients were divided into R-ISR group and non-R-ISR group according to their post-discharge angiography review.The clinical baseline data and the features of interventional surgery during the first ISR-PCI were retrospectively analyzed.Results Among the 201 patients,168 were males and 33 were females,with an average age of(61.97±10.02)years.The median interval between initial and follow-up angiography was 1.5 years.Patients were divided into two groups based on their radiographic reviews:R-ISR group(98 patients and 104 ISR lesions)and non-R-ISR group(103 patients and 111 ISR lesions).Multivariate Logistic regression analysis showed that the incidence of R-ISR was correlated with Ostial disease(OR 2.987,95％CI 1.343-6.642,P=0.007),plain old balloon angioplasty(POBA)performed for ISR lesions(OR 3.081,95％CI 1.293-7.343,P=0.011)and the maximum diameter stenosis rate of ISR lesions before surgery(OR 1.016,95％CI 1.002-1.030,P=0.022).Conclusions In patients currently receiving interventional therapy for ISR,Ostial disease,POBA treatment for ISR disease,and maximum diameter stenosis rate of ISR disease were associated predictors of R-ISR development.

Objective:This study aims to evaluate the impact of Diagnosis-Related-Groups(DRGs)payment on the average total cost,length of stay,service volume,effectiveness,and characteristics of traditional Chinese medicine(TCM)hospitals.Methods:A national medical center specializing in TCM was selected as the research subject.The Difference-in-Difference Model(DID)was utilized to analyze the differences in various indicators between insured patients(intervention group)and uninsured patients(control group)before and after the implementation of the payment reform policy.The reliability and stability of the model were verified through parallel trend tests and placebo tests.Results:The coefficients of DID interaction terms for eleven indicators including average total hospitalization cost,number of cases,length of stay,proportion of medical service revenue,and proportion of herbal medicine revenue were significant(P<0.05).The DID interaction term coefficients for four indicators including herbal medicine usage rate and proportion of non-pharmacological TCM therapy revenue were not significant(P>0.05).Conclusion:DRG payment significantly reduced the per-admission cost,with significant decreases in consumables and medical technology expenses,optimizing cost structure,and a slight decrease in the proportion of herbal medicine costs.It is necessary to further expand the sample size,track policy impacts,and comprehensively evaluate the effects of DRG payment on TCM hospitals in China.

Objective:To compare the difference between the Evidence Quality Grading System for Public Health Decision-making(PHE-Grading)and the Grading of Recommendations Assessment,Development and Evaluation(GRADE)System in evaluating the quality of evidence for public health decision-making.Methods:Systematic reviews about topic"Public health"were electronically searched in the Cochrane Library database from inception to February 27,2024.EndNote 20 software was used for literature screening,Excel 2021 and SPSS 22.0 software were used for data collation and analysis,and the forest plot was drawn by RevMan 5.4.1 software.Results:A total of 61 systematic reviews were finally included for evidence quality evaluation.The forest plot of GRADE and PHE-Grading evidence grading results showed that high grade[OR:2.39,95%CI(1.21 to 4.75)],moderate grade[OR:0.40,95%CI(0.31 to 0.52)],low grade[OR:0.37,95%CI(0.29 to 0.46)],and extremely low grade[OR:85.11,95%CI(34.80 to 208.11)],and the differences in evidence quality grading results between the two systems were statistically significant.Conclusions:Compared with GRADE,PHE-Grading may be more accurate in grasping the certainty of public health decision-making evidence.Currently,the quality of public health decision-making evidence is still concentrated in low and middle level,and high-quality research still needs to be strengthened to support scientific decision-making.

AIM To investigate the effects of Xinyue Capsules on the expression of glycerophospholipid metabolizing enzymes in isoproterenol(ISO)-induced rat heart tissue and primary myocardial cells of neonatal rats.METHODS The SD rats were randomly divided into the normal group,the model group,the Xinyue Capsules intervention group and Xinyue Capsules control group,with 8 rats in each group.The rat model of cardiac hypertrophy was established by 14 days consecutive intraperitoneal injection of ISO(30 mg/kg).Prior to the modeling,once daily administration of 0.393 g/kg Xinyue Capsules was given by gavage from 3 days in advance to the end of the experiment.After the last administration,the procurement of blood from abdominal aorta,the left and right ventricles were processed.And the rats had their indices levels of the heart,the left ventricle and the right ventricle measured;their pathomorphological changes of myocardial tissue observed using HE staining;their expressions of cardiac hypertrophy-related myocardial embryonic genes ANP,β-MHC and α-SKA mRNA detected using RT-qPCR method;and their serum TC,TG,LDL-C and HDL-C levels detected by biochemical method.In in vitro experiment,the neonatal rat model of myocardial hypertrophy was induced by exposure to ISO 1 μmol/L for 24 h.The investigation of the effect of Xinyue Capsules 12.5 μg/mL on ISO-induced myocardial hypertrophy was conducted by detection of myocardial cell area,embryo genes related to cardiac hypertrophy and myocardial cells protein cuntent.The further anti-cardiac hypertrophy mechanism of Xinyue Capsules research was conducted using RT-qPCR and Western blot to detect the gene and protein expressions of phospholipase A2(PLA2G6),phospholipase A1 member A(PLA1A)and lecithin cholesterol acyltransferase(LCAT)in left ventricle tissue and myocardial cells of each group.RESULTS The in vivo experimental result showed that compared with the normal group,the model group displayed increased indices levels of the heart,the left ventricle and the right ventricle and cross-sectional area of left ventricular myocytes(P＜0.05);and up-regulated expressions of ANP,β-MHC,α-SKA mRNA and PLA2G6,PLA1A and LCAT mRNA and proteins in the left ventricle(P＜0.05);and increased levels of serum TC,TG and LDL-C(P＜0.05);and decreased HDL-C level(P＜0.05).However,the intervention of Xinyue Capsules inhibited the changes of the aforementioned indices(P＜0.05).The in vitro experimental result revealed that Xinyue Capsules inhibited the ISO-induced increases of myocardial cell surface area and myocardial cell protein level,the up-regulation of ANP,β-MHC,α-SKA mRNA expressions and the PLA2G6,PLA1A,LCAT mRNA and protein expressions as well(P＜0.05).CONCLUSION Xinyue Capsules can improve the ISO-induced cardiac hypertrophy in rats,and its mechanism may be associated with its regulation upon the expressions of glycerophospholipid metabolism-related enzymes PLA2G6,PLA1A and LCAT.

Objective To investigate the clinical features and prognosis of acute pancreatitis(AP)complicated with metabolic syndrome(MS).Methods 139 AP patients were retrospectively selected and divided into MS group(76 cases)and non-MS group(63 cases),general data of the two groups were collected and analyzed;conservative treatment was given to 2 groups of patients,and the general conditions,laboratory indicators,comorbidities,and related indicators of disease severity of the two groups were compared and analyzed,and the influencing factors of poor prognosis in patients(AP combined with MS)were analyzed.Results Compared with non-MS group,HDL,Ca2+in MS group decreased significantly,Body weight、Body Mass Index(BMI)、diabetes mellitus、hypertension(systolic/diastolic blood pressure)、hyperlipidemia、white blood cell count、CRP、PCT、IL-6、FPG、UA、TC、TG、TyG、TYG-BMI and non-traditional lipid parameters TC/HDL-C、TG/HDL-C、LDL-C/HDL-C and non-HDL-C were significantly increased.There were no significant differences in age、sex、length of stay、BUN、CREA、LDL-C、ALT and AST between the two groups(P＞0.05);BMI,white blood cell count,CRP,IL-6,FPG,UA,TC,TG,TyG,TYG-BMI,TC/HDL-C,TG/HDL-C,LDL-C/HDL-C,and non-HDL-C were independent risk factors for poor prognosis in AP patients with MS,and HDL-C was a potential protective factor for prognosis in AP patients with MS,the difference was statistically significant(P＜0.05).Conclusion With the change of modern lifestyle,there are more and more MS patients,and the incidence of MS patients with AP is gradually increasing.TyG,TYG-BMI and non-traditional lipid parameters are novel,convenient and practical markers for clinical evaluation,which have a high diagnostic and predictive value for AP with MS metabolic abnormalities,and provides clinical basis for management and intervention.

Objective:To investigate the surgical situations and perioperative outcome of pancreaticoduodenectomy in Jiangsu Province and the influencing factors for postoperative 90-day mortality.Methods:The retrospective case-control study was conducted. The clinicopathological data of 2 886 patients who underwent pancreaticoduodenectomy in 21 large tertiary hospitals of Jiangsu Quality Control Center for Pancreatic Diseases, including The First Affiliated Hospital of Nanjing Medical University, from March 2021 to December 2022 were collected. There were 1 732 males and 1 154 females, aged 65(57,71)years. Under the framework of the Jiangsu Provincial Pancreatic Disease Quality Control Project, the Jiangsu Quality Control Center for Pancreatic Diseases adopted a multi-center registration research method to establish a provincial electronic database for pancrea-ticoduodenectomy. Observation indicators: (1) clinical characteristics; (2) intraoperative and post-operative conditions; (3) influencing factors for 90-day mortality after pancreaticoduodenectomy. Measurement data with skewed distribution were represented as M( Q1, Q3) or M(IQR), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers or constituent ratio, and comparison between groups was conducted using the chi-square test, continuity correction chi-square test and Fisher exact probability. Maximal Youden index method was used to determine the cutoff value of continuous variables. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was performed using the Logistic multiple regression model. Results:(1) Clinical characteristics. Of the 2 886 patients who underwent pancreaticoduodenectomy, there were 1 175 and 1 711 cases in 2021 and 2022, respectively. Of the 21 hospitals, 8 hospitals had an average annual surgical volume of <36 cases for pancreaticoduodenectomy, 10 hospitals had an average annual surgical volume of 36-119 cases, and 3 hospitals had an average annual surgical volume of ≥120 cases. There were 2 584 cases performed pancreaticoduodenectomy in thirteen hospitals with an average annual surgical volume of ≥36 cases, accounting for 89.536%(2 584/2 886)of the total cases. There were 1 357 cases performed pancrea-ticoduodenectomy in three hospitals with an average annual surgical volume of ≥120 cases, accounting for 47.020%(1 357/2 886) of the total cases. (2) Intraoperative and postoperative conditions. Of the 2 886 patients, the surgical approach was open surgery in 2 397 cases, minimally invasive surgery in 488 cases, and it is unknown in 1 case. The pylorus was preserved in 871 cases, not preserved in 1 952 cases, and it is unknown in 63 cases. Combined organ resection was performed in 305 cases (including vascular resection in 209 cases), not combined organ resection in 2 579 cases, and it is unknown in 2 cases. The operation time of 2 885 patients was 290(115)minutes, the volume of intra-operative blood loss of 2 882 patients was 240(250)mL, and the intraoperative blood transfusion rate of 2 880 patients was 27.153%(782/2 880). Of the 2 886 patients, the invasive treatment rate was 11.342%(327/2 883), the unplanned Intensive Care Unit (ICU) treatment rate was 3.087%(89/2 883), the reoperation rate was 1.590%(45/2 830), the duration of postoperative hospital stay was 17(11)days, the hospitalization mortality rate was 0.798%(23/2 882), and the failure rate of rescue data in 2 083 cases with severe complications was 6.529%(19/291). There were 2 477 patients receiving postoperative 90-day follow-up, with the 90-day mortality of 2.705%(67/2477). The total incidence rate of complication in 2 886 patients was 58.997%(1 423/2 412). The incidence rate of severe complication was 13.970%(291/2 083). The comprehensive complication index was 8.7(22.6) in 2 078 patients. (3) Influencing factors for 90-day mortality after pancreaticoduodenectomy. Results of multivariate analysis showed that age ≥ 70 years, postoperative invasive treatment, and unplanned ICU treatment were independent risk factors for 90-day mortality after pancreaticoduodenectomy ( odds ratio=2.403, 2.609, 16.141, 95% confidence interval as 1.281-4.510, 1.298-5.244, 7.119-36.596, P<0.05). Average annual surgical volume ≥36 cases in the hospital was an independent protective factor for 90-day mortality after pancreaticoduodenectomy ( odds ratio=0.368, 95% confidence interval as 0.168-0.808, P<0.05). Conclusions:Pancreaticoduodenectomy in Jiangsu Province is highly con-centrated in some hospitals, with a high incidence of postoperative complications, and the risk of postoperative 90-day mortality is significant higher than that of hospitallization mortality. Age ≥ 70 years, postoperative invasive treatment, and unplanned ICU treatment are independent risk factors for 90-day motality after pancreaticoduodenectomy, and average annual surgical volume ≥36 cases in the hospital is an independent protective factor.

Objective:To investigate the interactive effect of mismatch repair (MMR) protein status and adverse clinicopathological features on prognosis of stage Ⅰ-Ⅲ colon cancer.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 650 patients with colon cancer of stage Ⅰ-Ⅲ who were admitted to 7 hospitals in China from January 2016 to December 2017 were collected. There were 963 males and 687 females, aged 62(53,71)years. Patients were classified as 230 cases of MMR deficiency (dMMR) and 1 420 cases of MMR proficiency (pMMR) based on their MMR protein status. Observation indicators: (1) comparison of clinicopathological characteristics between patients of different MMR protein status; (2) analysis of factors affecting the survival outcomes of patients of dMMR; (3) analysis of factors affecting the survival outcomes of patients of pMMR; (4) interaction analysis of MMR and adverse clinicopathological features on survival outcomes. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the Mann-Whitney U test. The random forest interpolation method was used for missing values in data interpolation. Univariate analysis was conducted using the COX proportional risk regression model, and multivariate analysis was conducted using the COX stepwise regression with forward method. The coefficient of multiplication interaction effect was obtained using the interaction term coefficient of COX proportional risk regression model. Evaluation of additive interaction effects was conducted using the relative excess risk due to interaction ( RERI). Results:(1) Comparison of clinicopathological characteristics between patients of different MMR protein status. There were significant differences in age, T staging, the number of lymph node harvest, the number of lymph node harvest <12, high grade tumor between patients of dMMR and pMMR ( P<0.05). (2) Analysis of factors affecting the survival outcomes of patients of dMMR. Results of multivariate analysis showed that T staging, N staging, the number of lymph node harvest <12 were independent factors affecting the disease-free survival (DFS) of colon cancer patients of dMMR ( hazard ratio=3.548, 2.589, 6.702, 95% confidence interval as 1.460-8.620, 1.064-6.301, 1.886-23.813, P<0.05). Age and N staging were independent factors affecting the overall survival (OS) of colon cancer patients of dMMR ( hazard ratio=1.073, 10.684, 95% confidence interval as 1.021-1.126, 2.311-49.404, P<0.05). (3) Analysis of factors affecting the survival outcomes of patients of pMMR. Results of multivariate analysis showed that age, T staging, N staging, vascular tumor thrombus were independent factors affecting the DFS of colon cancer patients of pMMR ( hazard ratio=1.018, 2.214, 2.598, 1.549, 95% confidence interval as 1.006-1.030, 1.618-3.030, 1.921-3.513, 1.118-2.147, P<0.05). Age, T staging, N staging, high grade tumor were independent factors affecting the OS of colon cancer patients of pMMR ( hazard ratio=1.036, 2.080, 2.591, 1.615, 95% confidence interval as 1.020-1.052, 1.407-3.075, 1.791-3.748, 1.114-2.341, P<0.05). (4) Interaction analysis of MMR and adverse clinicopathological features on survival outcomes. Results of interaction analysis showed that the multiplication interaction effect between the number of lymph node harvest <12 and MMR protein status was significant on DFS of colon cancer patients ( hazard ratio=3.923, 95% confidence interval as 1.057-14.555, P<0.05). The additive interaction effects between age and MMR protein status, between high grade tumor and MMR protein status were significant on OS of colon cancer patients ( RERI=-0.033, -1.304, 95% confidence interval as -0.049 to -0.018, -2.462 to -0.146). Conclusions:There is an interaction between the MMR protein status and the adverse clinicopathological features (the number of lymph node harvest <12, high grade tumor) on prognosis of colon cancer patients of stage Ⅰ-Ⅲ. In patients of dMMR, the number of lymph node harvest <12 has a stronger predictive effect on poor prognosis. In patients of pMMR, the high grade tumor has a stronger predictive effect on poor prognosis.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.