Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Objective: To develop and compare multiple machine learning models for identifying high-risk college students exhibiting phubbing behavior and to determine key predictive factors, so as to provide evidence for precise screening and early intervention strategies. Methods: In December 2025, 1 828 undergraduate students, selected from three universities in Wuhan by using convenience sampling method, were surveyed via online qustionnaire for sociodemographic characteristics, phubbing behavior, family cohesion index, mature happiness, fear of negative evaluation, multidimensional state boredom, and psychological vulnerability. Four machine learning algorithms, including multilayer perceptron (MLP), extreme gradient booting (XGBoost), K-nearest neighbors (KNN), and gradient boosting decision tree (GBDT), were applied. The dataset was randomly split into a training set and a test set at a ratio of 7∶3. Model performance was evaluated using accuracy, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The best performing model was further interpreted using shapley additive explanation (SHAP) analysis to assess feature importance. Results: In the training set,955 participants were classified as having low level phubbing behavior, and 325 participants were classified as having high level phubbing behavior. Significant differences were observed in psychological vulnerability, multidimensional state boredom, family cohesion index, and mature happiness between groups ( Z =-10.29, -11.72, -8.17, -7.83, all P <0.05). Significant differences were also found in the detection rate of high level phubbing behavior according to family residence, family status, left behind experience,interpersonal relationships,exercise frequency,physical flexibility,and sleep status ( χ 2=12.22, 38.93, 16.90, 44.64, 58.17, 82.14, 37.89, all P <0.05). Among the four machine learning models (MLP, KNN, GBDT, XGBoost),all showed good discrimination ability, with XGBoost performing best (accuracy 79%, recall 71%, F1-score=0.70, AUC=0.78), while GBDT achieved the highest precision (78%). Feature importance analysis showed that multidimensional state boredom was the most important predictor of phubbing behavior, followed by psychological vulnerability, family cohesion, mature happiness, and fear of negative evaluation. SHAP analysis indicated that multidimensional state boredom, psychological vulnerability, and fear of negative evaluation had positive risk effects, while family cohesion and hedonic well being had protective effects for high risk of phubbing behavior. Conclusions Multidimensional state boredom is the core predictor of phubbing behavior among college students. The XGBoost model demonstrates good predictive performance and can provide a reference for identifying high risk individuals and implementing targeted interventions.

ObjectiveTo analyze the lipid characteristics and related risk factors of children with Wilson disease （WD）. MethodsThe clinical data of 315 children with WD and 248 healthy children who underwent physical examination were retrospectively collected. The differences in lipid levels between the two groups were compared. The WD group was divided into the normal lipid group （85 cases） and the dyslipidemia group （230 cases） according to lipid levels. General data and biochemical indicators were compared between the two groups， and multivariate Logistic regression analysis was used to analyze the independent risk factors for dyslipidemia in children with WD. ResultsThe incidence of dyslipidemia in children with WD was 73.0% （230/315）， comprising 77 cases （33.5%） of hypertriglyceridemia， 11 cases （4.8%） of hypercholesterolemia， 104 cases （45.2%） of combined hyperlipidemia， 9 cases （3.9%） of hyperlipoprotein（a）emia， and 29 cases （12.6%） of hypoalphalipoproteinemia. There were statistically significant differences in age distribution among different types of dyslipidemia （P<0.05）， whereas no significant differences were observed in gender distribution （P>0.05）. Compared with the normal lipid group， the dyslipidemia group showed significantly higher levels of homocysteine， superoxide dismutase （SOD）， platelet count （PLT）， fibrinogen， alanine aminotransferase， aspartate aminotransferase， γ-glutamyl transferase， uric acid， cystatin C （Cys-C）， type IV collagen （C-IV）， and laminin （all P<0.05）. Multivariate Logistic regression analysis showed that C-IV （OR=5.037， 95% CI： 2.562-9.900）， PLT （OR=2.297， 95% CI： 1.580-3.339）， Cys-C （OR=2.008， 95% CI： 1.395-2.890）， and SOD （OR=1.996， 95% CI： 1.342-2.970） were all independent risk factors for dyslipidemia in children with WD. ConclusionChildren with WD have a high incidence of dyslipidemia， which is dominated by combined hyperlipidemia and hypertriglyceridemia. C-IV， PLT， Cys-C， and SOD are independent risk factors for dyslipidemia in children with WD.

Objective:To investigate the current status of nutritional support specialist nurses' knowledge, attitude and practice about nutrition nursing practice and analyze their influencing factors, so as to provide reference for optimizing and improving the level of nutritional support specialist nurses' knowledge, attitude and practice, and constructing a training program for nutritional support specialist nurses.Methods:From October to November 2023, 557 nutritional support specialist nurses in 28 provinces, autonomous regions, and municipalities directly under the central government of China were selected for the survey using the convenience sampling method. General information questionnaire and Nutrition Nursing Practice Knowledge, Attitude and Practice Questionnaire were used to conduct the survey. Multiple linear regression was used to explore the influencing factors of knowledge, attitude and practice.Results:A total of 557 questionnaires were distributed and 507 questionnaires were effectively recovered, with an effective recovery rate of 91.0%. The nutrition nursing practice knowledge dimension scores, attitude dimension scores, and practice dimension scores of 507 nutritional support specialist nurses were 30.00 (28.00, 31.00) , 47.00 (41.00, 50.00) , (22.65±6.77) , respectively. Multiple linear regression analyses showed that education was an influencing factor in the knowledge dimension of nutrition nursing practice among nutritional support nurse specialists ( P<0.05) ; title, hospital level, and years of experience as a nutritional support nurse specialist were influencing factors in the attitude dimension of nutrition nursing practice ( P<0.05) . Conclusions:Nutritional support specialist nurses have a good knowledge base of nutrition nursing practice and a positive attitude, but their practices need to be further improved. Knowledge, attitude, and practice are affected by multiple factors such as education, title, hospital level, and number of years in the professional field. In the process of nurse specialist training, managers should pay attention to the learning needs of nurses at different levels, carry out targeted training, establish a standard workflow for nurse specialists, and emphasize the construction of talents in primary hospitals, so as to promote the high-quality development of nutrition support specialist nurses.

The participation of nurses in nutritional screening and assessment is not only the foundation for achieving full coverage of nutritional screening and assessment for hospitalized patients, but also an important guarantee for preventing and improving adverse clinical outcomes in hospitalized patients. Nurses should start by distinguishing between the concepts of nutritional screening and nutritional assessment, selecting patient-appropriate nutritional screening and assessment tools, and accurately timing nutritional screening and assessment to correctly perform nutritional screening and assessment. At the same time, nurses have a unique role and value in identifying nutritional risks in hospitalized patients, performing nutritional screening and assessment, and multidisciplinary nutritional diagnosis and treatment. Although nurses face many challenges in practice, they can address these challenges through artificial intelligence empowerment, the development of nutritional screening and assessment standard processes, the provision of health education to assist patients in self-management, and the establishment of training systems.

Objective To establish a scientific and feasible Chinese medicine(CM)comprehensive control and prevention program for elderly hypertension with early renal damage(EH-ERD)patients through high-level evidence-based medicine(EBM)evidence.Methods On the basis of literature research and evidence evaluation,we construct a database of specific prescriptions and implementation methods of CM comprehensive control and prevention program with EH-ERD.40 senior titled-experts were consulted in two rounds of questionnaires based on Delphi methods.We selected,evaluated,and revised specific CM comprehensive control and prevention program of EH-ERD through the analysis of multiple factors,such as expert's positive activity coefficient,authority coefficient,degree of opinion concentration and degree of coordination.Results In view of the CM appropriate intervention techniques with high-grade evidence(level Ⅰ and Ⅱ)and recommendation(level A and B),we have developed the CM comprehensive control and prevention plan items for EH-ERD.The activity coefficients in two-round consultation were 92.5%and 97.14%respectively,the overall authority coefficient(Cr)was exceeded 0.70,and the coordination coefficient was less than 0.25.With a sound activity coefficient,a relatively high Cr and a rather unified degree of opinion concentration and coordination,the CM comprehensive control and prevention program for EH-ERD was established,which included six primary indicators(CM compound preparation,acupuncture and massage,CM health education,medicinal diet therapy,health care exercise and foot bath)and seventeen secondary indicators.Conclusion The CM comprehensive control and prevention program for EH-ERD established in this study can provide a basis for the further formation of expert consensus or guidelines.Moreover,it can supply the strategy and paradigm for standardization of CM-based health management of EH-ERD.

Objective:To explore the evaluation method for key performance indicators of autonomous ultrasound scanning robots,so as to establish a testing scheme and conduct experiments.Methods:Based on the working principle of autonomous ultrasound scanning robots,three key performance indicators,which included scanning speed,scanning contact force,and accuracy of online adjustment,were established.The speed of the robotic arm,which execute autonomous scanning,was tested through laser rangefinders and a design of process equipment for displacement.The contact force of autonomous scanning was monitored and evaluated using a combination of ultrasound phantom and sensor with six-dimensional force.The displacement differences of phantom and robotic arm were monitored to evaluate the accuracy of online adjustment through designed a synchronization detection device for the displacements of phantom and robotic arm.Results:This research designed and provided test method and test device,which realized successful measurements for the speed,contact force,and accuracy of online adjustment in autonomous scanning of the ultrasonic scanning robot.Conclusion:The speed,contact force,and accuracy of online adjustment in scanning can be used as evaluation indicators of systematic performance of autonomous ultrasound scanning robots.The feasibility of these indicators is demonstrated through designed evaluation methods and corresponding experiments.

Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C₀), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug‍-‍drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage* ; Drug Monitoring/methods* ; Humans ; Organ Transplantation ; Immunosuppressive Agents/administration & dosage* ; Delphi Technique

The aryl hydrocarbon receptor (AhR) plays a crucial role in regulating many physiological processes. Activating the AhR-CYP1A1 axis has emerged as a novel therapeutic strategy against various inflammatory diseases. Here, a practical in situ cell-based fluorometric assay was constructed to screen AhR-CYP1A1 axis modulators, via functional sensing of CYP1A1 activities in live cells. Firstly, a cell-permeable, isoform-specific enzyme-activable fluorogenic substrate for CYP1A1 was rationally constructed for in-situ visualizing the dynamic changes of CYP1A1 function in living systems, which was subsequently used for discovering the efficacious modulators of the AhR-CYP1A1 axis. Following screening of a compound library, LAC-7 was identified as an efficacious activator of the AhR-CYP1A1 axis, which dose-dependently up-regulated the expression levels of both CYP1A1 and AhR in multiple cell lines. LAC-7 also suppressed macrophage M1 polarization and reduced the levels of inflammatory factors in LPS-induced bone marrow-derived macrophages. Animal tests showed that LAC-7 could significantly mitigate DSS-induced ulcerative colitis and LPS-induced acute lung injury in mice, and markedly reduced the levels of multiple inflammatory factors. Collectively, an optimized fluorometric cell-based assay was devised for in situ functional imaging of CYP1A1 activities in living systems, which strongly facilitated the discovery of efficacious modulators of the AhR-CYP1A1 axis as novel anti-inflammatory agents.

Interfering hepatitis B virus (HBV) capsid assembly holds promise as a therapeutic approach for chronic hepatitis B (CHB). Novel anti-HBV agents are urgently needed to overcome drug resistance challenges, with targeted protein degradation (TPD) emerging as a hopeful strategy. Herein, we report the first degradation of HBV core protein (HBC), a multifunctional structural protein, using small-molecule degraders developed by hydrophobic tagging (HyT) technology. Structure-activity relationship (SAR) analysis identified compound HyT-S7, featuring an adamantyl group, exhibiting potent inhibitory activity (EC₅₀ = 0.46 μmol/L, HepAD38 cells) and degradation ability (DC₅₀ = 3.02 ± 0.54 μmol/L) in a dose- and time-dependent manner. Mechanistic studies demonstrated that the autophagy-lysosome pathway was a potential driver of HyT-S7-induced HBC degradation. Remarkably, HyT-S7 effectively degraded 11 drug-resistant mutants, including highly resistant strains P25G and T33N, to Phase III drug GLS4. Furthermore, cellular thermal shift assay, surface plasmon resonance assay, and molecular dynamics simulations revealed the precise mode of HyT-S7 binding to HBC with the adamantyl group potentially mimicking protein misfolding to facilitate HBC degradation. This first proof-of-concept study highlights the potential of HyT-mediated TPD in HBC as a promising avenue for discovering novel HBV and other antiviral agents with favorable drug resistance profiles.