BACKGROUND:The extracellular-regulated protein kinase 5(ERK5)signaling protein is essential for the survival of organisms,and resveratrol can promote osteoblast proliferation through various pathways.However,whether resveratrol can regulate osteoblast function through the ERK5 signaling protein needs further verification. OBJECTIVE:To explore the regulatory effect of ERK5 on the proliferation of MC3T3-E1 cells and related secreted proteins,and to further verify whether resveratrol can complete the above process by activating ERK5. METHODS:Mouse MC3T3-E1 preosteoblasts were treated with complete culture medium,XMD8-92(an ERK5 inhibitor),epidermal growth factor(an ERK5 activator),resveratrol alone,XMD8-92+EGF,and resveratrol+XMD8-92,respectively.Western blot assay was used to detect the expression of ERK5 and p-ERK5 proteins,proliferation-related proteins Cyclin D1,CDK4 and PCNA,and osteoblast-secreted proteins osteoprotegerin and receptor activator of nuclear factor-κB ligand in MC3T3-E1 cells of each group.The fluorescence intensity of ERK5,osteoprotegerin and receptor activator of nuclear factor-κB ligand in each group was detected by cell immunofluorescence staining,and cell proliferation was detected by EdU staining,respectively.The appropriate concentration and time of resveratrol intervention in MC3T3-E1 cells were determined by cell morphology observation and cell counting kit-8 assay. RESULTS AND CONCLUSION:The activation of ERK5 signaling protein could effectively promote the proliferation of MC3T3-E1 cells,up-regulate the osteoprotegerin/receptor activator of nuclear factor-κB ligand ratio.The appropriate concentration and time for resveratrol intervention in MC3T3-E1 cells was 5 μmol/L and 24 hours,respectively.Resveratrol could activate ERK5 signaling protein,thereby promoting osteoblast proliferation and up-regulating the osteoprotegerin/RANKL ratio.All these results indicate that resveratrol can promote the proliferation of MC3T3-E1 cells and up-regulate the osteoprotegerin/RANKL ratio by activating the ERK5 signaling protein.

Aquatic organisms can secrete biomacromolecules through specialized organs, tissues, or structures, enabling adhesion to underwater material surfaces and leading to severe biofouling issues. This phenomenon adversely impacts aquatic ecosystem health and human activities. Biofouling has emerged as an emerging global environmental challenge. Adhesion serves as the foundation of biofouling, representing a critical step toward a comprehensive understanding of the adhesion mechanisms of aquatic organisms. Biomacromolecules, including proteins, lipids, and carbohydrates, are the primary functional components in the adhesive substances of aquatic fouling organisms. Research indicates that these biomacromolecules exhibit diversity in types and characteristics across different aquatic organisms, yet their adhesion mechanisms show unifying features. Despite significant progress, there remains a lack of comprehensive reviews on the adhesion mechanisms mediated by biomacromolecules in aquatic fouling organisms, particularly on the roles of lipids and carbohydrates. Through a comprehensive analysis of existing literature, this review systematically summarizes the mechanistic roles of three classes of macromolecules in aquatic biofouling adhesion processes. Proteins demonstrate central functionality in interfacial adhesion and cohesion through specialized functional amino acids, conserved structural domains, and post-translational modifications. Lipids enhance structural stability via hydrophobic barrier formation and antioxidative protection mechanisms. Carbohydrates contribute to adhesion persistence through cohesive reinforcement and enzymatic resistance of adhesive matrices. Building upon these mechanisms, this review proposes four prospective research directions: optimization of protein-mediated adhesion functionality, elucidation of lipid participation in adhesion dynamics, systematic characterization of carbohydrate adhesion modalities, and investigation of macromolecular synergy in composite adhesive systems. The synthesized knowledge provides critical insights into underwater adhesion mechanisms of aquatic fouling organisms and establishes a theoretical foundation for developing mechanism-driven antifouling strategies. This work advances fundamental understanding of bioadhesion phenomena while offering practical guidance for next-generation antifouling technology development.

Perceptual decision making refers to the process by which individuals make choices and judgments based on sensory information, serving as a fundamental ability for human adaptation to complex environments. While traditional research has focused on perceptual decision making in isolated contexts, growing evidence highlights the profound influence of social contexts prevalent in real-world scenarios. As a crucial factor supporting individual survival and development, social context not only provides rich information sources but also shapes perceptual decision making through top-down processing mechanisms, prompting researchers to recognize the inherently social nature of human decisions. Empirical studies have demonstrated that social information, such as others’ choices or group norms, can systematically bias individuals’ perceptual decisions, often manifesting as conformity behaviors. Social influence can also facilitate performance under certain conditions, particularly when individuals can accurately identify and adopt high-quality social information. The impact of social context on perceptual decisions is modulated by a variety of external and internal factors, including group characteristics(e.g., group size, response consistency), attributes of peers (e.g., familiarity, social status, distinctions between human and artificial agents), as well as individual differences such as confidence, personality traits, and developmental stage. The motivations driving social influence encompass three primary mechanisms: improving decision accuracy through informational influence, gaining social acceptance through normative influence, and maintaining positive self-concept. Recent computational approaches have employed diverse theoretical frameworks to provide valuable insights into the cognitive mechanisms underlying social influence in perceptual decision making. Reinforcement learning models demonstrate how social feedback shapes future choices through reward-based updating. Bayesian inference frameworks describe how individuals integrate personal beliefs with social information based on their respective reliabilities, dynamically updating beliefs to optimize decisions under uncertainty. Drift diffusion models offer powerful tools to decompose social influence into distinct cognitive components, allowing researchers to differentiate between changes in perceptual processing and shifts in decision criteria. Collectively, these models establish a comprehensive methodological foundation for disentangling the multiple pathways by which social context shapes perceptual decisions. Neuroimaging and electrophysiological studies provide converging evidence that social context influences perceptual decision making through multi-level neural mechanisms. At early perceptual processing stages, social influence modulates sensory evidence accumulation in parietal cortex and directly alters primary visual cortex activity, while guiding selective attention to stimulus features consistent with social norms through attentional alignment mechanisms. At higher cognitive levels, the reward system (ventral striatum, ventromedial prefrontal cortex) is activated during group-consistent decisions; emotion-processing networks (anterior cingulate cortex, insula, amygdala) regulate experiences of social acceptance and rejection; and mentalizing-related brain regions (dorsomedial prefrontal cortex, temporoparietal junction) support inference of others’ mental states and social information integration. These neural circuits work synergistically to achieve top-down multi-level modulation of perceptual decision making. Understanding the mechanisms by which social context shapes perceptual decision making has broad theoretical and practical implications. These insights inform the optimization of collective decision-making, the design of socially adaptive human-computer interaction systems, and interventions for cognitive disorders such as autism spectrum disorder and anorexia nervosa. Future studies should combine computational modeling and neuroimaging approaches to systematically investigate the multi-level and dynamic nature of social influences on perceptual decision making.

BACKGROUND:Fluid shear stress plays an important role in osteoblast proliferation and apoptosis.However,whether Caveolin-1 is involved in the process of fluid shear stress-induced proliferation and apoptosis in osteoblasts is unknown. OBJECTIVE:To explore the role of Caveolin-1 in fluid shear stress-regulated osteoblast proliferation and apoptosis. METHODS:The MC3T3-E1 osteoblasts in good growth status were selected and loaded with fluid shear stress at an intensity of 1.2 Pa for different times(0,30,60,90 minutes).The expression of Caveolin-1 protein was observed and conditions with a time of 60 minutes were screened for the experiment.MC3T3-E1 cells were divided into control group,fluid shear stress group,fluid shear stress+pcDNA 3.1 group(control),fluid shear stress+pcDNA Cav-1 group(plasmid overexpression),and intervened with fluid shear stress and overexpression of Cav-1,respectively.The expression of molecules related to proliferation and apoptosis in MC3T3-E1 cells was detected by qRT-PCR and western blot.In addition,the proliferative activity of MC3T3-E1 cells was detected by cell counting kit-8 and EdU assay;and cell apoptosis was detected by Hoechst 33258 and flow cytometry. RESULTS AND CONCLUSION:The expression of Caveolin-1 in MC3T3-E1 cells was significantly down-regulated after loading fluid shear stress,and the expression level was lowest after 60 minutes.Overexpression of Caveolin-1 attenuated the proliferation-promoting and apoptosis-suppressing effects of fluid shear stress in MC3T3-E1 cells.In conclusion,Caveolin-1 has a vital role in fluid shear stress-regulated osteoblast proliferation and apoptosis,which may offer a potential therapeutic strategy for osteoporosis.

Objective Clinical medical record data associated with hepatitis B-related acute-on-chronic liver failure(HBV-ACLF)generally have small sample sizes and a class imbalance.However,most machine learning models are designed based on balanced data and lack interpretability.This study aimed to propose a traditional Chinese medicine(TCM)diagnostic model for HBV-ACLF based on the TCM syndrome differentiation and treatment theory,which is clini-cally interpretable and highly accurate. Methods We collected medical records from 261 patients diagnosed with HBV-ACLF,includ-ing three syndromes:Yang jaundice(214 cases),Yang-Yin jaundice(41 cases),and Yin jaun-dice(6 cases).To avoid overfitting of the machine learning model,we excluded the cases of Yin jaundice.After data standardization and cleaning,we obtained 255 relevant medical records of Yang jaundice and Yang-Yin jaundice.To address the class imbalance issue,we employed the oversampling method and five machine learning methods,including logistic regression(LR),support vector machine(SVM),decision tree(DT),random forest(RF),and extreme gradient boosting(XGBoost)to construct the syndrome diagnosis models.This study used precision,F1 score,the area under the receiver operating characteristic(ROC)curve(AUC),and accuracy as model evaluation metrics.The model with the best classification per-formance was selected to extract the diagnostic rule,and its clinical significance was thor-oughly analyzed.Furthermore,we proposed a novel multiple-round stable rule extraction(MRSRE)method to obtain a stable rule set of features that can exhibit the model's clinical in-terpretability. Results The precision of the five machine learning models built using oversampled balanced data exceeded 0.90.Among these models,the accuracy of RF classification of syndrome types was 0.92,and the mean F1 scores of the two categories of Yang jaundice and Yang-Yin jaun-dice were 0.93 and 0.94,respectively.Additionally,the AUC was 0.98.The extraction rules of the RF syndrome differentiation model based on the MRSRE method revealed that the com-mon features of Yang jaundice and Yang-Yin jaundice were wiry pulse,yellowing of the urine,skin,and eyes,normal tongue body,healthy sublingual vessel,nausea,oil loathing,and poor appetite.The main features of Yang jaundice were a red tongue body and thickened sublin-gual vessels,whereas those of Yang-Yin jaundice were a dark tongue body,pale white tongue body,white tongue coating,lack of strength,slippery pulse,light red tongue body,slimy tongue coating,and abdominal distension.This is aligned with the classifications made by TCM experts based on TCM syndrome differentiation and treatment theory. Conclusion Our model can be utilized for differentiating HBV-ACLF syndromes,which has the potential to be applied to generate other clinically interpretable models with high accura-cy on clinical data characterized by small sample sizes and a class imbalance.

Objective:To study the different factors that affected the correction coefficient of biological load in microorganism test of medical device,so as to improve the accuracy of testing microorganism of medical device.Methods:According to the national standard"Sterilization of medical devices-Microbiological methods-Part 1:Determination of a population of microorganisms on products"(GB/T 19973.1-2015),the microorganisms of disposable sterile syringes were tested.The vaccination locations of different bacterial strains,the collection techniques of different eluents and the different microorganism count methods were selected to conduct experiment.And then,the correction coefficient of biological load was calculated.Results:Based on the data analysis of the correction coefficient of the biological load of disposable sterile syringes,the difference of the microorganism growth status on plate among three different vaccination locations of bacterial strains(cone head interior,tube inner wall and rubber piston)was statistically significant(F=36.575,P<0.05),and the correction coefficients for recovery rate were respectively 2.9,16.5,and 9.9.The difference of the microorganism growth status on plate among three different microorganism collection techniques(manual shaking for 20 seconds,mechanical shaking for 5 and 20 minutes,200 r/min)was statistically significant(F=119.460,P<0.05),and the correction coefficients for recovery rate were respectively 14.1,7.1 and 1.9.The difference of the microorganism growth status on plate among three different microorganism count methods(coating method,pouring method and membrane filtration method)was not significant(F=0.529,P>0.05),and the correction coefficients for recovery rate were respectively 1.2,1.1 and 1.2.Conclusion:In testing biological load,multiple sites should be selected to conduct simultaneous infection of bacteria,and mechanical shaking should be used to collect eluent.In the test of biological load of medical device,the selection of the sites of bacterial infection and microorganism collection technique are important factor of the correction coefficient of biological load.

Jiangsu Provincial People's Hospital takes the reform of DRG payment method as an opportunity,based on the theory of incentive behavior,uses literature research,expert consultation,and key performance indicator methods to develop evaluation indicators,and applies PDCA management tools to establish a continuously improving medical insurance service quality evaluation system.It introduces the process of medical insurance service quality evaluation system construction and its application in medical insurance performance management,and analyzes the implementation effect:DRG operation is improving,disease group structure is optimized,medical quality and efficiency continue to improve,and medical service evaluation scores are improving.

Objective To observe the pharmacokinetic effect of amoxicillin and clavulanate potassium tablets on amoxicillin in Chinese healthy subjects under fasting and high fat and high calorie diet.Methods 71 healthy subjects were given a single dose of amoxicillin potassium clavulanate tablets(0.375 g)on fasting or high fat diet,and venous blood samples were collected at different time points.The concentrations of amoxicillin in human plasma were determined by HPLC-MS/MS method,and the pharmacokinetic parameters were calculated by non-atrioventricular model using PhoenixWinNonlin 8.0 software.Results The main pharmacokinetic parameters of amoxicillin potassium clavulanate tablets after fasting and high fat diet were(5 105.00±1 444.00),(4 593.00±1 327.00)ng·mL-1,and postprandial-fasting ratio 89.40％,90％confidence interval(79.55％-100.19％);t1/2 were(1.52±0.16),(1.39±0.22)h;AUC0-t were(12 969.00±1 841.00),(11 577.00±1 663.00)ng·mL-1·h,and postdietary/fasting ratio 89.20％,90％confidence interval(83.92％-94.28％);AUC0-∞ were(13 024.00±1 846.00),(11 532.00±1 545.00)ng·mL-1·h,and postprandial-fasting ratio 88.60％,90％confidence interval(83.48％-93.50％).The median Tmax(range)were 1.63(0.75,3.00)and 2.50(0.75,6.00)h,respectively,and the Tmax of postprandial medication was delayed(P＜0.01).Conclusion Compared with fasting condition,amoxicillin Tmax was significantly delayed after high fat diet,while Cmax,AUC0-t and AUC0-∞ were not significantly changed,indicating that food could delay the absorption of amoxicillin,but did not affect the degree of absorption.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Chronic prostatitis is a common and frequently occurring disease in male clinics. Due to the diverse symptoms， complex etiology， unclear mechanisms， and recurrent episodes of chronic prostatitis， Western medicine often faces the challenge of limited treatment options and unsatisfactory outcomes. In order to fully leverage the unique advantages of traditional Chinese medicine （TCM） in the treatment of chronic prostatitis， the China Association of Chinese Medicine organized a discussion among experts from the fields of TCM urology， Western urology， and related pharmacy. The experts focused on the advancements in the understanding of chronic prostatitis in modern medicine， various theories on the etiology， pathogenesis， and treatment of chronic prostatitis in TCM， entry points from interdisciplinary fields， the role and advantages of TCM in the comprehensive management of chronic prostatitis， and research into mechanisms related to chronic prostatitis. After discussions， the experts concluded that chronic prostatitis is one of the diseases where TCM has a distinct advantage. TCM can effectively improve the clinical syndromes of chronic prostatitis， including urinary issues， social psychology， organ specificity， infection， nervous system problems， pain and discomfort， sexual dysfunction， etc.， and can enhance the quality of life. For patients with chronic prostatitis who cannot tolerate or may not accept the adverse effects of Western medicine， as well as for those with non-inflammatory chronic prostatitis/chronic pelvic pain syndrome （CP/CPPS）， those with pain as the primary symptom， those with urinary tract symptoms， those with coexisting anxiety and depression， and those with abnormal semen liquefaction， TCM-based treatment can be the main approach. Currently， the optimal diagnosis and treatment strategy for chronic prostatitis has not yet been established， and further research from perspectives such as clinical epidemiology， evidence-based medicine， and molecular biology is needed. Both TCM and Western medicine should integrate their respective strengths， clarify the role and advantages of TCM interventions based on mutual reference， and improve the diagnosis and treatment standards for chronic prostatitis in China.