By analyzing the current application of multi-modal data in the diagnosis of gastric "inflammation-cancer" transformation， this study explored the feasibility and strategies for constructing a disease-syndrome integrated diagnosis and treatment system. Based on traditional Chinese medicine （TCM） phenomics， we proposed utilizing multi-modal data from literature research， cross-sectional studies， and cohort follow-ups， combined with artificial intelligence technology， to establish a multi-dimensional diagnostic and treatment index system. This approach aims to uncover the complex pathogenesis and transformation patterns of gastric "inflammation-cancer" progression. Additionally， by dynamically collecting TCM four-diagnostic information and modern medical diagnostic information through a long-term follow-up system， we developed three major modules including information extraction， multi-modal phenotypic modeling， and information output， to make it enable real-world clinical data-driven long-term follow-up and treatment of chronic atrophic gastritis. This system can provide technical support for clinical diagnosis， treatment evaluation， and research， while also offering insights and methods for intelligent TCM diagnosis.

Objective To explore the difference of efficacy and safety between denosumab and zoledronic acid in the treatment of patients with postmenopausal osteoporosis (PMOP), and to optimize the medication regimen for PMOP patients. Methods A total of 123 PMOP patients with high risk of fracture at the Second Affiliated Hospital of Naval Medical University from September 2021 to March 2024 were selected and randomly divided into two groups: the denosumab group (n=63) and the zoledronic acid group (n=60). Both groups underwent one-year treatment and follow-up, bone metabolism indexes, lumbar vertebrae, femoral neck, and total hip bone mineral density (BMD) were monitored, and any adverse reactions were documented. Results After treatment, the lumbar vertebrae and total hip BMD of patients in the denosumab group and the zoledronic acid group were significantly improved (P＜0.05); the femoral neck BMD of patients in the zoledronic acid group was also significantly improved (P＜0.05). The improvement of lumbar vertebrae BMD in the denosumab group was significantly better than that in the zoledronic acid group, while the improvement of femoral neck and total hip BMD in the zoledronic acid group was significantly better than that in the denosumab group (P＜0.05). Bone metabolism indicators were significantly improved in both groups (P＜0.05), and no significant liver and kidney dysfunction were observed. A total of 7 patients in the zoledronic acid group had mild adverse reactions and 5 patients in the denosumab group had mild adverse reactions. Conclusions Denosumab significantly increased lumbar vertebrae BMD and improved bone metabolism markers in PMOP patients, thus reducing risk of fracture and demonstrating good safety.

The immunomodulatory， repair， and regeneration-promoting functions of mesenchymal stem cells make them one of the potential treatment methods for liver diseases. At present， viral and non-viral delivery methods have been developed to genetically modify mesenchymal stem cells， and gene modification can promote the survival， homing， and cytokine secretion of mesenchymal stem cells， thereby enhancing the ability of mesenchymal stem cells to treat liver diseases. This article mainly summarizes the research advances in gene-modified mesenchymal stem cells in the treatment of liver diseases， in order to provide new insights and strategies for the clinical treatment of liver diseases.

Objective: To investigate the clinical efficacy and safety of pudendal nerve modulation (PNM) in the treatment of female pudendal neuralgia (PN)，so as to promote the clinical application of this technique. Methods: A retrospective analysis was conducted on 20 female PN patients who failed conservative treatment at Gongli Hospital during Nov.2020 and Oct.2023.All patients underwent simultaneous PNM and sacral nerve modulation (SNM) with the assistance of 3D printing navigation.Dual-stage test electrodes for PNM and SNM were implanted，followed by alternate therapeutic trial for each modality.Secondary conversion rates and longitudinal outcomes，including visual analogue score (VAS)，patient health questionnaire-9 (PHQ-9)，and quality of life (QoL) scores were compared preoperatively，post-stage Ⅰ，and at 3，6，and 12 months post-stage Ⅱ. Results: All operations were successful.After the trial phase，the secondary conversion rate for PNM was significantly higher than that for SNM; 16 patients (16/20，80%) chose the second-phase PNM implantation surgery，3 (3/20，15%) chose second-phase SNM implantation，and 1 (1/20，5%) had electrodes removed due to ineffective results from both trials.Further assessment revealed that the improvements in VAS，PHQ-9，and QoL scores for PNM patients were significantly better than those for SNM patients after the first phase of surgery and at 3，6 and 12 months after the second-phase conversion (P<0.05).No complications such as electrode migration or infection were observed during the follow-up of 12-15 months. Conclusion: PNM provides more effective relief of pain symptoms and improvements in depressive states for female PN patients compared to SNM.With the assistance of 3D printing navigation，the operation is simple and safe，and offers stable therapeutic effects.It is worthy of clinical promotion and application.

ObjectiveTo investigate the modifiable areal unit problem （MAUP） in the spatial pattern of Pseudostellaria heterophylla production regions and reveal the impact of statistical scales on the spatial distribution characteristics of this medicinal plant species. MethodsUsing multi-source data （literature records， field surveys， and statistical data）， we systematically analyzed the spatial patterns across three administrative levels （provincial， prefectural， and county scales）. Spatial autocorrelation （Moran's I） analysis， high-low clustering （Getis-Ord General G）， and hot/cold spot analysis （Getis-Ord Gi*） were employed. ResultsThe literature-based analysis showed that the production regions of P. heterophylla presented random distribution on the provincial scale and significant aggregation on the prefectural scale. The field survey data showed that the production regions displayed random distribution on the provincial scale but significant aggregation on both prefectural and county scales. The statistical data revealed that the production regions lacked spatial autocorrelation on the provincial scale but demonstrated significant aggregation on prefectural and county scales. ConclusionMAUP effects have substantive implications for understanding and decision-making in the arrangement of medicinal plant production regions. The county scale proves to be the most sensitive and explanatory level for analyzing the spatial pattern of P. heterophylla production regions， providing a critical foundation for habitat modeling， suitability evaluation， and ecological cultivation planning of medicinal plants.

Objective: To investigate the trend in disease burden of injuries among children and adolescents in China from 1990 to 2021, so as to provide a basis for formulating prevention and control strategies and reducing this disease burden. Methods: Data on mortality, disability-adjusted life years (DALY) rate, incidence, and prevalence of injuries among children and adolescents aged <20 years in China from 1990 to 2021 were collected from the Global Burden of Disease (GBD) 2021 database. All rates were standardized using the GBD 2021 world standard population. The trend in incidence of disease burden of injuries among children and adolescents across differents genders and ages from 1990 to 2021 was evaluated using average annual percent change (AAPC). Results: From 1990 to 2021, the standardized mortality (AAPC=-5.435%), standardized DALY rate (AAPC=-5.311%), standardized incidence (AAPC=-0.466%), and standardized prevalence (AAPC=-0.810%) of injuries among children and adolescents in China showed downward trends (all P<0.05). Among these, the standardized mortality of animal contact (AAPC=-9.138%) and the standardized DALY rate of medical side effects (AAPC=-8.389%) decreased at a relatively fast pace, while the standardized incidence of falls (AAPC=0.083%) and the standardized prevalence of exposure to natural forces (AAPC=2.656%) showed upward trends (all P<0.05). The standardized mortality, standardized DALY rate, standardized incidence and standardized prevalence of injuries were higher in males than in females. The trend in males showed a downward trend (all P<0.05), consistent with the total population. The crude incidence of injuries in the group aged 15-<20 years showed an upward trend (AAPC=0.391%, P<0.05), while the trend in the group aged 10-<15 years was not statistically significant (P>0.05). The crude incidence of injuries in the groups aged 5-<10 years and <5 years showed downward trends (AAPC=-0.488% and -2.275%, both P<0.05). In 2021, the <5 years age group had the highest crude mortality and crude DALY rate of injuries, at 13.94/100 000 and 1 257.26/100 000, respectively. The 15-<20 years age group exhibited the highest crude incidence and crude prevalence, at 4 874.05/100 000and 4 050.35/100 000, respectively. Drowning and falls were major components of the disease burden across all age groups. Conclusions From 1990 to 2021, the disease burden of injuries among children and adolescents in China showed an overall downward trend. The disease burden was consistently higher in males than in females. Children aged <5 years face a high risk of fatality and disability, while adolescents aged 15-<20 years experience a high incidence and frequency of injuries. Drowning and falls were key priorities for prevention and control.

OBJECTIVE To analyze the chemical constituents and components absorbed into plasma of the extract of Ardisia crenata and to elucidate its possible pharmacodynamic material basis. METHODS Overall， 12 rats were randomly assigned to the blank group （n＝6） and A. crenata group （n＝6） by the paired comparison method. The drug was administered once daily in the morning and afternoon for three days. Serum samples were prepared from serum after redosing on 4th day. The UPLC-QE-HF-MS/ MS was used to analyze and identify the chemical constituents in A. crenata extract and serum samples. Compound Discoverer 3.0 was employed for retention time correction， peak identification， and peak extraction. According to the secondary mass spectrometry information， the Thermo mzCloud online and Thermo mzVault local databases， referring to the relevant literature and control quality spectrum information were used to preliminarily identify the chemical constituents and components absorbed into plasma of A. crenata. RESULTS A total of 34 compounds were identified from the extract of A. crenata， mainly coumarins， flavonoids， organic acids， amino acids， including bergenin， quercetin， gallic acid， L-pyroglutamic acid， etc. Besides， 5 components absorbed into plasma were identified from serum samples: L-pyroglutamic acid， syringic acid， bergenin， cinnabar root saponin A， and mycophenolic acid. CONCLUSIONS L-pyroglutamic acid， syringic acid， bergenin， cinnabar root saponin A， and mycophenolic acid may act as the pharmacodynamic material basis of A. crenata.

Humans ; Urinary Bladder Neoplasms/pathology* ; Carcinoma, Transitional Cell/pathology* ; Genetic Markers ; Biomarkers, Tumor/genetics* ; Urothelium/pathology*

Objective:To describe and analyze suicide risk of patients with schizophrenia,major depressive disorder,and bipolar disorder.Methods:A total of 2 016 patients with schizophrenia,903 patients with major de-pressive disorder,and 381 patients with bipolar disorder from inpatients,clinics,or communities who met the diag-nostic criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition were recruited.All patients were interviewed by psychiatrists using the Mini International Neuropsychiatric Interview to diagnose mental disor-ders and assess suicide risk,as well as Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)to as-sess symptoms.Differences and risk factors of suicide risk among three types of mental disorders were explored u-sing multivariate logistic regression analysis.Results:In the past one month,37 patients with schizophrenia(1.8％),516 patients with major depressive disorder(57.1％),and 102 patients with bipolar disorder(26.8％)had suicide risk.Compared with patients with schizophrenia,suicide risk in patients with major depressive disorder(OR=36.50)and bipolar disorder(OR=20.10)increased.Female(OR=1.87),smoking(OR=1.76),family history of suicide(OR=5.09),higher score of CRDPSS hallucination(OR=1.80),and higher score of CRDPSS depression(OR=1.54)were risk factors of suicide risk of patients.Conclusions:Suicide risk of patients with ma-jor depressive disorder and bipolar disorder is higher than that of patients with schizophrenia.In clinical practice,it is important to regularly assess suicide risk of patients.Patients who experience symptoms of hallucination and de-pression should be paid more attention to.

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost