Objective: To identify research priorities on physical and mental comorbidity among children and adolescents in Zhejiang Province, so as to provide a theoretical base for improving their physical and mental health. Methods: In May 2025, 77 experts in the fields of health and education from 11 cities in Zhejiang Province were selected by convenient sampling method to participate in the first round of expert consultation. In June, 2025, snowball sampling was used to expand to 194 experts for the second round of consultation, and it was convenient to select 21 students from primary schools to high schools in Zhejiang Province and 29 parents to empower the evaluation criteria. It applied the Child Health and Nutrition Research Initiative (CHNRI) method in a structured process, which encompassed the definition of the research field, generation of research ideas, scoring, and quantitative ranking of priorities. Research ideas were evaluated against 6 predefined criteria: effectiveness, safety, answerability, feasibility, sustainability, and scientific significance. Results: After 2 rounds of structured consultations, 81 research ideas on physical and mental comorbidity among children and adolescents were established and classified into 7 subthemes: epidemiological characteristics and influencing factors, optimization of primary service systems and policies, comprehensive intervention strategies for physical and mental comorbidity, biological mechanisms and clinical research, the impact of education and environment on physical and mental health, special populations and social support, and digital and technology driven disease prevention and intervention. The top 10 research priorities primarily centered on the subdomain of "epidemiological characteristics and influencing factors" (5 items). The top 3 research priorities were "the association between outdoor activity duration and the incidence of common diseases (including mental disorders) among children and adolescents" "the impact of outdoor activity duration on the physical and mental health of adolescents" "comprehensive intervention strategies for myopia, obesity, and their comorbidities among children and adolescents". Conclusion The framework of priority issues in the field of psychosomatic comorbidity of children and adolescents in Zhejiang Province based on CHNRI method provides a reference for optimizing the allocation of provincial research resources.

Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

Background/Aims: This study assessed the long-term efficacy and safety of tenofovir alafenamide (TAF) in real-world settings. Methods: Patients who were candidates for TAF treatment and were followed up at 12-week intervals over 192 weeks were enrolled in this study. Results: One hundred and forty-four patients (50 treatment-naive and 94 treatment-experienced) were included in this study. The cumulative incidence rates of cirrhosis and hepatocellular carcinoma at 192 weeks were 3.9% and 0.7%, respectively. In treatment-naive patients, the rates of a virological response, HBeAg conversion, and HBsAg loss at 192 weeks were 100%, 33.3%, and 2%, respectively. The treatment-naive patients exhibited higher baseline HBsAg levels than the treatment-experienced patients (4.31 log10IU/mL vs. 3.97 log10IU/mL). A significant decrease in the HBsAg levels from the baseline was observed at 144 and 192 weeks in the treatment-naive patients (p=0.01). The baseline body mass index (BMI) <25 kg/m2 (p=0.02) and HBsAg <3.3 log10IU/mL (p=0.04) were identified as predictive factors for a decrease in HBsAg ≥0.5 log10IU/mL at 48 weeks. The eGFR levels were consistently lower in the treatment-experienced patients throughout the study. Although the treatment-naive patients showed no abnormal increases in urinary URBP, the treatment-experienced patients showed elevated urinary β2MG and NAG levels at the baseline, which decreased over the treatment course. The total cholesterol, triglyceride, and low-density lipoprotein levels were similar in both groups. Conclusions Prolonging the TAF treatment duration enhances the virological response rate. The decline in HBsAg levels was more significant in the treatment-naive patients than in the treatment-experienced patients. The baseline BMI <25 kg/m2 and HBsAg <3.3 log10IU/mL were predictive factors for a significant decline in HBsAg at 48 weeks. TAF has high renal safety and no significant impact on lipid levels.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Chrysophanol(Chr)and physcion(Phy)are primary active ingredients of a well-known traditional Chinese medicine namely rhubarb(Chinese name:Dahuang),and their glucuronides have been revealed as the dominant forms presenting in rats after oral administration.Either Chr or Phy has two glycosylation sites,resulting in a pair of positional isomers for glucuronides of either compound(CG1&CG2 and PG1&PG2).To confirmatively identify these glucuronides,energy-resolved mass spectrometry(ER-MS)was used to pursue the fragmentation trajectories of the targeted fragment ions,and the resultant breakdown graphs that were described by the optimal collision energy(OCE)were expected to exhibit the differences of glycosidic bond cleavage between the isomers.Quantum chemical calculation was thereafter conducted to produce the bond dissociation energy(BDE)of the glycosidic bonds.The isomers were unambiguously identified through applying the positive correlation rule between OCE and BDE.Fortunately,the glucuronides of Chr and Phy in vivo were observed through liver microsomes incubationin vitro.ER-MS was utilized to collect the Gaussian-shaped breakdown graphs in response to the neutral loss of 176 Da,and the absolute values of OCE were compared between positional isomers.The results revealed that CG1(-32.31 eV)>CG2(-31.61 eV),and nonetheless,PG1(-30.00 eV)Chr-8-GluA(-48.787 kJ/mol),and nonetheless,Phy-1-GluA(-48.672 kJ/mol)

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Objective To conduct an analysis on objective data of tongue manifestations and complexions among college students with yang deficiency constitution and balanced constitution,thus to explore the correlation between yang deficiency constitution and the objective data of tongue manifestations and complexions among college students.Methods From August 2023 to January 2024,data collection was carried out in 325 cases of yang deficiency constitution(yang deficiency group)and 175 cases of balanced constitution(balanced group)from college students of Hunan University of Chinese Medicine,Central South University,Hunan Normal University,Hunan University and Changsha University of Science and Technology in Hunan Province.YM-MA-Ⅰ digital detection system for tongue manifestations and complexions of traditional Chinese medicine(TCM)was utilized for data collection and image analysis,and the differences in the Lab parameters of tongue color,tongue shape,tongue coating color,complexions,and lip color were compared between yang deficiency group and balanced group.Of the Lab parameters,letter"L"stands for luminance,which expresses the luminance from absolute black to absolute white,and takes the value of 0-100;letter"a"and letter"b"stand for two color channels,letter"a"represents the color from dark green to grey then to bright pink,and takes a value from-128 to 127,and letter"b"represents the color from bright blue to grey then to yellow,and also takes a value from-128 to 127.Results(1)The analysis of tongue manifestations showed that in comparison with the balanced group,enlarged tongue(72.62％),tooth-marked tongue(83.69％),and greasy coating(59.38％)were frequently seen in the yang deficiency group,and the differences were all statistically significant(P＜0.05 or P＜0.01).(2)The analysis of complexions showed that in comparison with the balanced group,lusterless complexion(79.08％)and pale lip(42.15％)were frequently seen in the yang deficiency group,with statistically significant differences(P＜0.01).(3)The yang deficiency group had higher L value of tongue color,L value of tongue coating color,L value of complexions,and L and b values of lip color than the balanced group,and the differences were all statistically significant(P＜0.05),indicating that the tongue color,complexions,and lip color of the yang deficiency group were all pale.Conclusion The objective data and image analysis of tongue manifestations and complexions can accurately identify the population of yang deficiency constitution from college students,and the results will provide approaches and references for the identification of other TCM constitutions from the population.