The functional realization of proteins and other biological macromolecules depends on conformational dynamics and allosteric regulation, and elucidating their molecular mechanisms is an important foundation for understanding life processes. Molecular dynamics simulations are a powerful tool for investigating conformational evolution at the atomic level. However, traditional methods are limited by simulation timescales and high free-energy barriers, making it difficult to effectively capture rare conformations and their transition pathways. As a result, the development of enhanced sampling techniques has become key to overcoming this bottleneck. As a classical enhanced sampling technique, metadynamics suffers from several shortcomings, including strong dependence on collective variables and significant errors caused by bias potential accumulation. This article reviews three major improvement strategies. The first combines stochastic resetting with metadynamics, using trajectory-resetting mechanisms to improve sampling efficiency while avoiding the difficulty of optimizing collective variables. The second, SinkMeta, employs a “sinking” bias effect to enable efficient exploration of specific regions and paths. The third, OPES-based hybrid methods, improve the stability of free-energy estimation by optimizing the target distribution or the way the bias is constructed. These methods provide new ideas for characterizing free-energy landscapes and studying conformational transitions in complex biological systems, while also promoting the continued development of enhanced sampling methodologies.

The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is higher among individuals with inflammatory bowel disease (IBD) than in the general population. Emerging evidence indicates that the development of MASLD in patients with IBD may occur independently of traditional metabolic risk factors, suggesting a unique pathophysiological mechanism distinct from conventional MASLD pathways. Bile acids (BAs), which act as critical signaling molecules in enterohepatic circulation, play an essential role in maintaining gastrointestinal homeostasis through bidirectional gut–liver axis communication. These molecules are increasingly recognized as pivotal regulators in the progression of both MASLD and IBD. While previous studies have characterized the dynamics of BA in blood or fecal samples under both conditions, a comprehensive understanding of their metabolic profiles and the associated interactions within the gut–liver axis is still lacking. This review synthesizes current evidence from studies employing BA metabolomics to investigate IBD and MASLD. By focusing on BA signatures, we summarize conserved alterations between these two conditions and their potential mechanisms of disease progression. Our review advances understanding of BA-mediated pathways in IBD and MASLD, providing a foundation for assessing their roles in contributing to the pathogenesis of MASLD in patients with IBD.

Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

Uric acid is the end product of purine metabolism in the human body. In recent years, the role of uric acid in female fertility and assisted reproductive technology (ART) has gained increasing attention. Dysregulation of uric acid metabolism can lead to hyperuricemia (HUA). HUA is not only closely related to metabolic syndrome and cardiovascular diseases but may also adversely affect female fertility by influencing ovarian function and embryos development. In this review, we explored the role of uric acid in female fertility, including its association with female subfertility, infertility, adverse pregnancy outcomes and metabolic syndrome, as well as its potential impact on ART like in vitro fertilization-embryo transfer and intracytoplasmic sperm injection. Further studies are needed to clarify the threshold and clinical intervention value of uric acid levels in women of childbearing age, providing a basis for reproductive health counseling and personalized pregnancy assistance for HUA patients of childbearing age.

Objective To explore the clinical effects and influencing factors of recombinant human growth hormone(rhGH)treatment in pediatric patients with growth hormone deficiency.Methods The study subjects were pediatric patients with growth hormone deficiency,all of whom received a combination therapy of stanozolol tablets 2 mg(qd)and 0.1 U·kg-1·d-1 of recombinant human growth hormone injection for a continuous period of one year.After one year,the patients were divided into active group and invalid group based on clinical outcomes.Comparisons were made between the two groups in terms of height,annual growth velocity(GV)and height standard deviation score(HtSDS)before and after treatment,and safety evaluations were conducted.Multivariate Logistic regression analysis was used to identify factors that influenced the treatment outcomes in pediatric patients with growth hormone deficiency.Results After one year of treatment,a total of 93 cases pediatric patients were included in the analysis,with 62 cases in the active group and 31 cases in the invalid group.The heights of the patients before and after treatment were(119.40±2.48)and(129.08±2.37)cm,respectively;the GV were(3.08±0.39)and(7.34±1.02)cm·year-1,respectively;the HtSDS were-2.45±0.49 and-1.68±0.35,respectively,with statistically significant differences observed for all comparisons(all P＜0.05).In the active and invalid groups,the proportions of patients with GV＜3.0 cm·year-1 before treatment were 32.26％and 58.06％,respectively;the proportions of patients with peak growth hormone(GH)levels＜5.0 ng·mL-1 before treatment were 30.65％and 54.84％,respectively;the average maternal heights were(158.83±5.76)and(155.48±6.58)cm,respectively,with statistically significant differences observed for all comparisons(all P＜0.05).The results of the Logistic regression model showed that GV＜3.0 cm·year-1 before treatment,peak GH levels＜5.0 ng·mL-1 before treatment,and a shorter maternal height were independent risk factors for poor treatment outcomes with rhGH in pediatric patients with growth hormone deficiency(all P＜0.05).No severe adverse reactions occurred during the treatment of any patient;seven patients experienced pain at the injection site,one patient had a slight increase in blood glucose,and five patients had mild decreased appetite.The total incidence of adverse drug reactions were 13.98％(13 cases/93 cases).Conclusion Treatment with rhGH for pediatric patients with growth hormone deficiency can significantly improve height development and has good safety,but it is influenced by factors such as growth velocity,peak GH levels,and maternal height.

Objective To study the change of common bile duct pressure after laparoscopic common bile duct exploration in patients with common bile duct stones.Methods Clinical data of 17 patients with common bile duct stones treated in our hospital from January 2022 to December 2022 were collected.All patients underwent laparoscopic common bile duct exploration and common bile duct pressure measurement.The patients were followed up for 8 weeks after operation,and the common bile duct pressure was measured by indwelling T tube at 2,3,4 and 8 weeks.Results Among the 17 patients,1 patient showed persistent high common bile duct pressure due to residual common bile duct stones.In the remaining 16 patients,there were no significant difference between the initial common bile duct pressure(19.7 cm H2O)and the common bile duct pressure at postoperative(17.0 cm H2O)and week 1(15.5cmH2O)(P＞0.05).There were significant differences between the initial common bile duct pressure and the common bile duct pressure at week 2(13.5 cm H2O),3(12.2 cm H2O),4(11.1 cm H2O)and 8(10.0cmH2O)(P＜0.05).Conclusion Compared to initial common bile duct pressure,the pressure of common bile duct began to decrease significantly from 2 weeks after laparoscopic common bile duct exploration in patients with common bile duct stones.

Objective:To investigate the relationship between different states of cardiac function and their changes during the course of diabetic foot ulcers(DFU), and to evaluate their impact on patient prognosis.Methods:A retrospective analysis was conducted on 194 DFU patients who were rehospitalized at approximately 3-month intervals. Basic clinical data and cardiac function-related indicators were collected at baseline and follow-up. Patients were followed until death or until November 10, 2024. Outcomes including ulcer healing, recurrence, minor amputation, and death were recorded. Logistic regression models were used to analyze the effects of cardiac function status and its changes on these four outcomes. Results:After treatment, the proportion of patients with NYHA class Ⅱ-Ⅲ decreased significantly from 33.5% at baseline to 21.6%( P=0.009). Serum N-terminal pro-B-type natriuretic peptide(NT-proBNP) level also decreased after treatment compared with baseline [635.85(59.83, 453.28) pg/mL vs 728.67(81.48, 696.15) pg/mL, P=0.055]. Serum NT-proBNP level was significantly higher in the death group compared to the survival group( P=0.002). The proportion of DFU patients with baseline NYHA class Ⅱ-Ⅲ was significantly higher than that in those with class Ⅰ( P=0.012). Regression analysis showed that an improvement in NT-proBNP levels was associated with a lower risk of DFU recurrence( OR=0.378, 95% CI 0.183-0.779, P=0.008), and improvement in NYHA class was associated with a lower mortality risk( OR=0.074, 95% CI 0.020-0.275, P<0.001). Conclusion:Cardiac function status and its changes during the treatment of DFU patients have strong prognostic implications, particularly in predicting the risk of recurrence and death outcomes.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective To investigate the application and effectiveness of a zero-trust network architecture(ZTNA)in a hospital's smart-management platform,providing a practical reference for network-architecture optimization in smart-hospital initiatives.Methods A single-arm mode was involved in the deployment of ZTNA.An encrypted tunnel was established by the zero-trust proxy gateway,and the components for zero-trust terminal security,behavior management,firewall,identity authentication,security operation and analysis center were synergized with the help of a logical bus to form a security protection system of end-to-end trust assessment,dynamic access control,micro-isolation and visualization,and the integration and access to the hospital's intelligent management platform were realized by means of ticket injection.Results ZTNA markedly enhanced data protection for the platform,and significantly improved user experience by simplified authentication and enhanced support for mobile operation.Conclusion ZTNA ensures the security of kinds of hospital business systems,and lays a foundation for large comprehensive hospitals to construct cross-region,cross-institution and multi-center medical information platforms and open data sharing modes.[Chinese Medical Equipment Journal,2025,46(8):50-57]

Aim To observe the interventional effects of Polygala fallax Hemsl.(PFH)on diabetic kidney disease(DKD)rats and the regulatory mechanism of ferroptosis.Methods Thirty-six SD rats were ran-domly divided into the control group,DKD group,fer-rostatin-1(Fer-1)group,PFH-L group,PFH-M group,and PFH-H group,with six rats in each group.Model-ing was induced by a one-time intraperitoneal injection of 35 mg·kg-1 streptozocin(STZ)in combination with high-sugar and high-fat feed.Ferrostatin-1(25μmol·kg-1)was injected intraperitoneally in Fer-1 group.The PFH-L,PFH-M,and PFH-H groups were gavaged with 50,100 and 200 mg·kg-1 of alcoholic extracts of PFH respectively,and the control and DKD groups were gavaged with an equal volume of distilled water once a day for eight weeks.At the end of drug administration,blood glucose,24h-UP,BUN and Scr levels were measured in each group of rats.HE stai-ning and Masson staining were used to observe renal histopathological changes.ELISA was employed to de-termine the levels of total iron,MDA and GSH activity.IHC was used to observe the expression of Nrf2,SLC7A11,and GPX4 in renal tissues.Western blot was used to detect the protein expression of COL1A1,α-SMA,TGF-,FTH-1,TFR-1,Nrf2,SLC7A1 1,GPX4,in renal tissues.RT-qPCR was used to detect the ex-pression levels of Nrf2,SLC7A11,GPX4 mRNA in re-nal tissues.Results Compared with the control group,blood glucose,24h-UP,BUN,Scr increased(P＜0.05);glomerular volume increased,tubular dilata-tion and collagen fiber deposition were obvious;total i-ron,MDA content increased and GSH activity de-creased(P＜0.05);there was increased protein ex-pression of COL1A1,α-SMA,TGF-β,TFR-1 and de-creased protein expression of FTH-1(P＜0.01);there was decreased mRNA and protein expression of Nrf2,SLC7A11,GPX4 in DKD group rats(P＜0.01).Compared with the DKD group,blood glucose,24h-UP,BUN and Scr decreased(P＜0.05);renal tissue le-sions were significantly reduced;total iron and MDA content decreased,and GSH activity increased(P＜0.05);COL1A1,α-SMA,TGF-β,and TFR-1 protein expression decreased and FTH-1 protein expression in-creased(P＜0.05,P＜0.01);Nrf2,SLC7A11,GPX4 mRNA and protein expression increased in Fer-1 and PFH dose groups(P＜0.05,P＜0.01).Conclusions PFH attenuates renal histopathological injury in DKD rats,and the mechanism may be related to the regula-tion of the Nrf2/SLC7A11/GPX4 signaling pathway.