Animal experimentation constitutes a critical link between basic research and clinical application, making its research quality and translational efficiency paramount. Although considerable progress has been made in standardizing operational procedures and ethical guidelines, the standardization of outcome evaluation systems has significantly lagged, creating a key bottleneck that constrains the quality of biomedical research and evidence synthesis. This deficiency is manifested by pronounced heterogeneity in outcome selection across similar studies, incomplete methodological reporting, and disparate criteria for result interpretation, which severely impairs the comparability of findings and the evidence integration. To cope with this challenge, this paper systematically introduces a mature methodological tool from clinical research–the core outcome set (COS)–and explores its construction strategies and application potential in the field of animal experimentation. Given the extensive diversity of animal experiments, a pragmatic strategy of "focusing on key areas, implementing phased pilots, and promoting gradual expansion" should be adopted. This approach prioritizes the development of domain-specific COS for disease areas characterized by high research volume, urgent translational needs, and well-established animal models. A multi-source integration pathway for COS development is detailed, comprising systematic literature searches, methodological appraisals, and expert consensus, with the feasibility of leveraging artificial intelligence (AI) to enhance efficiency also being examined. The development and promotion of such COS are not intended to restrict scientific exploration; rather, they aim to establish a new, tiered evaluation paradigm consisting of "core outcomes" (mandatory), "recommended outcomes" (encouraged), and "exploratory outcomes" (optional). This framework is expected not only to enhance research quality through standardization and to adhere to the "3R" principles but also to accelerate the accumulation of high-quality evidence. This, in turn, provides a solid foundation for higher-level evidence synthesis, ultimately facilitating the effective translation of basic research findings into clinical practice and providing an essential methodological framework for scientific advancement in relevant disciplines.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

OBJECTIVE To investigate the effects of subanesthetic dose of esketamine on postoperative anxiety and recovery in patients undergoing laparoscopic cholecystectomy. METHODS A total of 200 patients scheduled for laparoscopic cholecystectomy at Suzhou Ninth Hospital Affiliated to Soochow University from January 2023 to December 2024 were randomly assigned to control group （n＝100） and observation group （n＝100）. One minute before the initiation of anesthesia， patients in the control group received intravenous injections of Propofol emulsion injection， Sufentanil citrate injection， and Succinylcholine chloride injection. On this basis， patients in the observation group received an intravenous injection of Esketamine hydrochloride injection. The anxiety status of patients in both groups was compared， along with their general intraoperative conditions （including sufentanil dosage， duration of pneumoperitoneum， operative time， anesthesia time， and extubation time）， postoperative recovery， incidence of adverse reactions， and the need for dezocine rescue analgesia. Heart rate and mean arterial pressure， entropy index （state entropy and response entropy）， inflammatory marker levels [interleukin-6 （IL-6） and C-reactive protein （CRP）]， numerical rating scale （NRS） for pain intensity were compared between the two groups at different time points. RESULTS No significant differences were found between the two groups in pneumoperitoneum duration， operative time， anesthesia time，extubation time， incidence of postoperative dry mouth， entropy index or length of stay in the post-anesthesia care unit （P＞0.05）. Compared with the control group， the observation group showed significantly lower postoperative STAI-S scores， reduced intraoperative sufentanil consumption， decreased incidence of postoperative nausea， vomiting， and shivering， the need for dezocine rescue analgesia， as well as lower plasma IL-6 and CRP levels at 24 h after surgery， and NRS （P＜0.05）. The heart rate and mean arterial pressure of patients in the observation group at the start of surgery， end of surgery， and during extubation were all significantly higher than those in the control group （P＜0.05）. CONCLUSIONS Subanesthetic dose of esketamine can effectively alleviate postoperative anxiety， reduce intraoperative opioid consumption， suppress postoperative inflammatory response， relieve postoperative pain， and promote recovery in patients undergoing laparoscopic cholecystectomy.

Hyperthyroidism （HT） is frequently complicated by atrial fibrillation （AF） in clinical practice. Based on traditional Chinese medicine （TCM） zang-xiang （藏象） theory and clinical experience， both HT and AF are closely associated with dysfunction of the liver. The pathogenesis is initiated by the liver failing to govern the free flow of qi， and liver constraint and qi stagnation， with the key turning points being liver constraint transforming into fire and the internal stirring of liver wind， ultimately leading to liver blood depletion and insufficient nourishment of the heart spirit. Thus， it is proposed to treat the disease from the liver， with stage-specific therapeutic approaches according to the evolution of the disease. In the early stage， the treatment should focus on soothing the liver and relieving constraint to reduce goiter and calm the heart， while in the progressive stage， the method of clearing liver and draining fire is suggested to subdue yang and stabilize palpitations. In the acute stage， the strategy is calming the liver and nourishing yin to subdue yang and extinguish wind. In the later stage， it is suggested to soften the liver and benefit qi， so as to nourish yin and restore pulse. These methods are sequentially applied to synergistically reduce goiter and stabilize palpitations， providing a therapeutic approach for HT complicated by AF.

Objective To construct and validate a nomogram-based prediction model of vascular plaque stability in patients with progressive cerebral infarction based on serum monocyte chemotactic protein-1(MCP-1),monocyte chemotactic protein-1 inducible protein 1(MCPIP1)combined with inflammatory factors.Methods A retrospective cohort study was conducted on 200 patients with progressive cerebral infarction admitted to our department from January to December 2023.All of them were assigned into a modeling group,and were divided into a stable plaque subgroup and the unstable plaque subgroup according to results of carotid multilayer spiral CT angiography.Their general data,results of laboratory tests,and other clinical indicators were collected to identify the influencing factors for vascular plaque instability with single-factor and multifactor analyses.Then a nomogram model for predicting vascular plaque stability was constructed for patients with progressive cerebral infarction.Receiver operating characteristics(ROC)curve was plotted to evaluate the predictive performance of the nomogram model.Subsequently,in a ratio of 7∶3 between the cases in the modeling group and the validation group,another 86 patients with progressive cerebral infarction admitted to our department from January to June 2024 were enrolled and served as the validation group.Their clinical data were collected for external validation of the model.Results In the modeling group,there were 68 patients(34.00％)in the stable plaque subgroup and 132 patients(66.00％)in the unstable plaque subgroup.Univariate analysis showed that there were significant differences between the 2 subgroups in terms of age(65.31±6.74 vs 67.52±7.14 years,t=2.113),comorbid diabetes mellitus[35(48.53％)vs 80(60.61％)cases,Chi-square=7.182],MCP-1(570.67±104.23 vs 693.94±128.45 pg/mL,t=6.836),MCPIP1(2.93±0.58 vs 4.08±0.75 ng/mL,t=11.051),homocysteine(Hcy,10.56±2.38 vs 16.04±3.54 μmol/L,t=11.491),C-reactive protein(CRP,6.16±2.03 vs 8.05±2.67 mg/L,t=5.122)and TNF-α(1.31±0.29 vs 1.79±0.47 ng/mL,t=7.696)(all P＜0.05).Multivariate analysis indicated that age(β=0.103,OR=1.109,95％CI=1.012～1.215),comorbid diabetes(β=2.135,OR=8.461,95％CI=1.866～38.353),Hcy(β=0.706,OR=2.026,95％CI=1.550～2.650),MCP-1(β=0.011,OR=1.011,95％CI=1.004～1.018),MCPIP1(β=1.928,OR=6.875,95％CI=2.765～17.094),CRP(β=0.327,OR=1.387,95％CI=1.022～1.883)and TNF-α(β=1.491,OR=4.443,95％CI=1.389～14.212)were independent influencing factors for vascular plaque instability in the patients with progressive cerebral infarction(all P＜0.05).The modeling formula based on these factors was Logit(P)=0.103×(age)+2.135×(combined diabetes)+0.706×(Hcy)+0.01 1×(MCP-1)+1.928×(MCPIP1)+0.327×(CRP)+1.491×(TNF-α)-34.684.ROC curve analysis revealed that the area under curve(AUC)of the model in the modeling group was 0.956(95％CI:0.931～0.981,P＜0.001),with a sensitivity of 0.841 and a specificity of 0.926,and the AUC value in validation group was 0.960(95％CI=0.925～0.996,P＜0.001).Conclusion Our nomogram prediction model has a good predictive performance for vascular plaque instability in patients with progressive stroke,and it can be used to identify high-risk patients for vascular plaque instability in clinical practice.

Ultrasound technology has been applied in the biomedical field,particularly in drug delivery and cell processing.In this study,the effects of different ultrasound power levels(40 W to 100 W)and time durations(1 min,5 min,or 5 min discontinuously)on the morphology of human red blood cells(hRBCs)membranes were systematically investigated using cryo-electron tomography(Cryo-ET).The hRBCs membranes were firstly subjected to ultrasound at power levels of 40 W and 60 W for 5 min each.Cryo-ET observations revealed minimal morphological changes in the hRBCs membranes following the 40 W treatment,with the membrane structure remaining relatively intact and only minor undulations appearing on the membrane surface.These undulations might result from the mild mechanical stress induced by ultrasound,which was insufficient to disrupt the overall membrane structure.At power of 60 W,the hRBCs membranes largely preserved their structural integrity.When the ultrasonic power was increased to 80 W,the structural damage to the hRBCs membranes became more severe.Cryo-ET images showed irregular ruptures and larger pores on the membrane surface,indicating a significant compromise in membrane integrity.At ultrasound power of 100 W,the hRBCs membranes were completely disrupted,resulting in the formation of numerous membrane fragments,and a complete loss of membrane continuity.To further explore the effects of ultrasound duration on erythrocyte membrane morphology,the ultrasonic power was fixed at 100 W and the impacts of varying treatment durations(1 min,5 min,and intermittent ultrasound)on the membrane structure were systematically investigated.After 1 min of ultrasonic treatment,Cryo-ET images showed minimal changes in erythrocyte membrane morphology.Although some small pores and undulations appeared on the membrane surface,the overall structure remained relatively intact.As the ultrasound duration extended to 5 min,the degree of membrane damage increased significantly.Cryo-ET images revealed extensive rupture and detachment of the membrane,with continuity being severely compromised.As to treatment alternating 1 min of ultrasound with 1 min of rest,for a total of 5 min of ultrasound exposure,Cryo-ET observations showed the integrity of the membrane-cytoskeleton attachment remained.Under intermittent ultrasound treatment,although some pores and ruptures were observed on the membrane surface,the overall structure remained more intact compared to continuous ultrasonic treatment.This preservation might be due to the intermittent treatment providing buffer periods for the membrane,allowing partial recovery after mechanical stress,thereby reducing the cumulative damage caused by continuous ultrasound.This work provided experimental basis for further understanding of mechanism of ultrasound induced change of cell membrane and cytoskeleton.

Bismuth iodide(BiOI)with different crystal plane ratios of(110)to(001)was synthesized,and typeⅡheterojunction formed between(001)and(110)crystal planes of BiOI was used to improve the separation efficiency of photogenerated electrons and holes.Then the BiOI(001)/(110)was composited with nitrogen-doped graphene quantum dots(N-GQDs)to prepare a ternary composites,which could enhance the range and intensity of light absorption,and prolonged the lifetime of photogenerated electrons due to the formation of Z-scheme heterojunctions between BiOI and N-GQDs,thereby leading to the excellent photoelectric performance of the BiOI/N-GQDs for generating sensitive photoelectric response signals.A photoelectrochemical sensor for sensitive detection of chlorpyrifos(CPF)was designed with BiOI/N-GQDs-modified FTO electrode as a photocathode.The S and N atoms contained in CPF were coordinated with Bi(Ⅲ)on the surface of BiOI,which reduced the photocurrent of BiOI/N-GQDs.The photocurrent change was linear with logarithm of concentration of CPF in the range of 1.5×10-12-5.0×10-9 mol/L,and the detection limit was 1.5×10-12 mol/L.The sensor was highly sensitive,selective and stable,and could be used for determination of trace CPF in environmental and food samples.

Apurinic/apyrimidinic endonuclease 1(APE 1)is a multifunctional protein that plays important roles in DNA repair and regulation of gene expression.Because APE 1 is overexpressed in various cancers,it can serve as a cancer biomarker for aiding clinical diagnosis,guiding therapy,and monitoring prognosis.On this basis,a label-free fluorescent probe was designed based on the primer exchange reaction(PER)strategy for highly sensitive detection of APE 1 activity.In the absence of APE 1,the structure of catalytic hairpin(HP)was stable and could not form G-quadruplex.Therefore,the background fluorescence of this sensing system was very low due to the dissociation of thioflavin T(ThT).In the presence of APE 1,the apurinic/apyrimidinic(AP)site of HP was cleaved by APE 1 and a short nucleic acid fragment that acted as a primer to initiate PER was generated.After PER reaction,a large number of G-quadruplex were produced,which could specifically bind with ThT and resulted in significant increase of fluorescence signal.The combination of low background design of HP and PER amplification made this biosensor had high sensitivity with a detection limit(3σ)of 0.0008 U/mL.Furthermore,the primer sequence was directly generated by the cleavage of APE 1 without additional addition,which not only increased the specificity of the reaction,but also simplified the experiment procedure.Moreover,the use of label-free fluorescence signal reduced the cost of the experiment,and realized rapid detection of APE 1.Finally,this sensor was used to detect APE 1 in human serum samples with spiked recoveries of 91%-104%,proving great potential in study of biological enzyme.

As a serine protease,thrombin can convert soluble fibrinogen into insoluble fibrin and plays a pivotal role in the coagulation cascade.Therefore,the accurate quantitative assay of thrombin levels is of great value in the evaluation of coagulation function,clinical screening and prognostic monitoring of coagulation-related diseases,and screening of drugs for targeted therapy.Existing methods for thrombin detection can be divided into two categories,e.g.,the assay of concentration levels using nucleic acid aptamers as the affinity elements and the assay of activity levels based on the hydrolytic cleavage of substrate peptides.In recent years,electrochemical biosensors have attracted much attention in thrombin detection due to high sensitivity,high selectivity,simple instrument,fast response,and good portability.In this review,the latest research progress in methods for electrochemical detection of thrombin was summarized,focusing on the detection principles and the applied signal amplification strategies of related electrochemical biosensors.In addition,the challenges with respect to the practical use of electrochemical thrombin biosensors and the prospects were discussed.