Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Receptor-interacting serine/threonine-protein kinase 1 (RIPK1) functions as a key regulator in inflammation and cell death and is involved in mediating a variety of inflammatory or degenerative diseases. A number of allosteric RIPK1 inhibitors (RIPK1i) have been developed, and some of them have already advanced into clinical evaluation. Recently, selective RIPK1i that interact with both the allosteric pocket and the ATP-binding site of RIPK1 have started to emerge. Here, we report the rational development of a new series of type-II RIPK1i based on the rediscovery of a reported but mechanistically atypical RIPK3i. We also describe the structure-guided lead optimization of a potent, selective, and orally bioavailable RIPK1i, 62, which exhibits extraordinary efficacies in mouse models of acute or chronic inflammatory diseases. Collectively, 62 provides a useful tool for evaluating RIPK1 in animal disease models and a promising lead for further drug development.

Objective The purpose of this article is to summarize and review the current status of the construction of clinical research evaluation systems in domestic public hospitals,identify existing problems in the evaluation system,and propose development strategies and suggestions.Methods Retrieved relevant articles,dissertations and policies from the past five years(2018-2022),screened the titles,viewed the full texts of 52 selected papers and their references,and summarized them.Results The"five-only"indicators have long been an important indicator for evaluating clinical research in public hospitals,but in today's scientific research environment and policy environment,the"five-only"evaluation system has revealed its utilitarian draw-backs and gradually evolved into a hindrance to scientific research.It is urgent to break through the"five-only"orientation and establish a clinical research evaluation system oriented towards"transforming and applying transformation of scientific research achievements".Conclusion The evaluation system for clinical research should break the previous"five-only"evaluation model based on quantity-oriented scientific research evaluation.We can draw on the framework of the research output,influence,and environment indicators in the UK's REF Excellence Framework model,combine the American APT system and the Chinese STEM indicator dimensions,explore multi-outcome evaluation,integrate developmental indicators,and continuously improve the indica-tor system and application methods in practice to promote the development of clinical research in public hospitals.

Inflammatory bowel disease (IBD) is characterized by chronic relapsing intestinal inflammation and encompasses ulcerative colitis (UC) and Crohn's disease (CD). IBD has emerged as a global healthcare problem. Clinically efficacious therapeutic agents are deficient. This study concentrates on models of ulcerative colitis with the objective of discovering novel therapeutic strategies. Previous investigations have established that schisandrin A demonstrates anti-inflammatory effects in vitro, concurrently enhancing the transcriptional activity of farnesoid X receptor (FXR). FXR inversely modulates the transcriptional activity of NF-κB, which has an important role in regulating inflammatory responses. Consequently, the current study was to explore the safeguarding influence of schisandrin A on ulcerative colitis and delineate the mechanism by which it regulates this effect through the FXR signaling pathway. The effect of schisandrin A on the mRNA levels of inflammatory factors was evaluated in RAW264.7 cells. The dual luciferase reporter gene assay was used to verify the relationship between schisandrin A and FXR targeting. The animal experiments were performed in accordance with the regulations of the Animal Ethics Committee of Shanghai University of Traditional Chinese Medicine (approval No. PZSHUTCM2304250005). Acute ulcerative colitis was induced in wild-type or FXR knockout C57BL/6 mice by drinking 3% dextran sodium sulfate (DSS) for 7 days, and schisandrin A was administered via gavage for a continuous treatment period of 7 days. The body weight and faecal were monitored daily. The mRNA levels of inflammatory factors in colon tissue and FXR target genes were measured by RT-qPCR. The findings revealed that schisandrin A, in vitro, impeded the lipopolysaccharide (LPS)-induced elevation in mRNA levels of inflammatory factors and schisandrin A could augment transcriptional activity of FXR. In wild-type mice, schisandrin A significantly improved weight loss, colon shortening, loose stools and blood in stools in mice with acute ulcerative colitis, and schisandrin A significantly reduced the expression of pro-inflammatory factors genes and significantly increased the expression of FXR target genes in colon tissues. In FXR knockout mice, the administration of schisandrin A failed to yield ameliorative effect on acute ulcerative colitis in mice. In conclusion, schisandrin A can reduce intestinal inflammation through the FXR signaling pathway to alleviate acute ulcerative colitis in mice. Implications arise that Schisandra lignans could serve as lead compounds for drug development aimed at inflammatory bowel disease.

An integrated evaluation model based on the combination of traditional trait identification and modern chemical analysis was used for the identification of key indexes of grade classification and the establishment of grade quality standard of Lycium barbarum fruits (LBF) from Ningxia genuine producing area. Under the guidance of herbal examination and market survey, particle size, skin color and imperfection were taken as the external trait indicators; focusing on the comprehensiveness and validity of the quality evaluation, 2-O-β-D-glucopyranosyl-L-ascorbic acid (AA-2βG), zeaxanthin dipalmitate (ZD) and volatile ether extractives were used as important parameters involving in quality evaluation in addition to the pharmacopoeia test items and determination indicators such as moisture, ash, water-soluble extractives, Lycium barbarum polysaccharide (LBP) and betaine. The quality differences between different traits and grades of LBF as well as the relevance between character and quality were further investigated by mathematical and statistical means such as t-test analysis, correlation analysis and principal component analysis (PCA). Furthermore, the activities of extractives from different grades of LBF were compared at cellular level. The results showed that LBF were mainly preferred for large and red ones; except for betaine, the other index components were relatively high (moisture and ash were low) in the first-grade and samples with bright-red skin color. Besides, there was a significant correlation between skin color and moisture, water-soluble extractives, LBP, AA-2βG and ZD contents. Considering the results of the study and the market situation, the present study took the grain size and skin color of LBF as the core of evaluation, and at the same time introduced the multi-indicator components including LBP, AA-2βG, ZD, water-soluble extractives and moisture to further guide the grading, and established the quality standard of LBF grades combining the trait indexes and the chemical composition. More importantly, in vitro cell models both preliminarily confirmed that the first-grade LBF played a more significant "nourishing liver and kidney" effect, which provided an experimental basis for the quality control of LBF and promoted the realization of high quality and good price.

Objective:To summarize and analyze the composition characteristics and problems of basic medical insurance policies for traditional Chinese medicine in various provinces of China,providing reference for optimizing and improving subsequent basic medical insurance policies for traditional Chinese medicine.Methods:Based on the perspective of policy instrument,combined with two dimensions of policy instrument types and policy development process,the content analysis method is used to quantitatively analyze the content of the basic medical insurance policies for traditional Chinese medicine released at the provincial level from 2011 to 2023.Results:The 93 included policy documents were coded and sorted,with a cumulative total of 487 codes.From the perspective of policy instrument dimensions,subcategories of policy instruments involve diverse themes,but there are differences in the level of attention paid to each policy tool.From the perspective of policy development process,each link also presents a discrete trend,indicating a dominant feature of policy planning and implementation.Conclusion:To improve the basic medical insurance policy system of traditional Chinese medicine in China,it is necessary to optimize the combination of policy instrument and construct a coordinated and balanced policy instrument framework;Overall planning of the development process of traditional Chinese medicine medical insurance policies,highlighting the unique advantages of traditional Chinese medicine;Emphasize policy synergy between dimensions and strengthen the implementation of traditional Chinese medicine medical insurance policies.

Objective:To investigate the causal correlation between depression and stress urinary incontinence(SUI)using Mendelian randomization(MR)analysis.Methods:We searched the FinnGen Consortium database for genome-wide association studies(GWAS)on depression and obtained 23 424 case samples and 192 220 control samples,with the GWAS data on SUI provided by the UK Biobank,including 4 340 case samples and 458 670 control samples.We investigated the correlation between depression and SUI based on the depression data collected from the Psychiatric Genomics Consortium(PGC).We employed inverse-variance weighting as the main method for the MR study,and performed sensitivity analysis to verify the accuracy and stability of the findings.Results:Analysis of the data from the UK Biobank and FinnGen Consortium showed that depression was significantly correlated with an increased risk of SUI(P=0.005),but not SUI with the risk of depression(P=0.927).And analysis of the PGC data verified the correlation of depression with the increased risk of SUI(P=0.043).Conclusion:Depression is associated with an increased risk of SUI,while SUI does not increase the risk of depression.

Objective:To investigate the effect of the interaction between metabolic syndrome and smoking on the risk of subsequent cardiovascular events.Methods:Urban residents aged 40 and above in the Yunyan District of Guiyang City were selected from " Risk Evaluation of cAncers in Chinese diabeTic Individuals: A lONgitudinal(REACTION) Study". The baseline survey started in 2011 and general information including gender, age, medical history, lifestyle habits, and smoking status were collected. Additionally, biochemical indicators related to metabolic syndrome(MS) were measured. The study participants were then followed up, and the first cardiovascular events occurring after the initial survey were recorded. The average follow-up period was 10.07±1.49 years. The interaction between metabolic syndrome and smoking on subsequent cardiovascular events was analyzed using Cox proportional hazards models.Results:The study included a total of 7 275 individuals, among whom 639 experienced cardiovascular events. After adjusting for multiple variables, compared to non-smokers without metabolic syndrome(MS), smokers with MS showed a higher risk of cardiovascular events, with a hazard ratio( HR) of 6.54(95% CI 4.88, 8.78). This risk was higher than that of individuals with MS who never smoked [ HR 1.39(95% CI 1.11, 1.75)] and non-MS smokers [ HR 2.48(95% CI 1.77, 3.49)]. There was an additive interaction between MS and smoking on the occurrence of cardiovascular events, with a relative excess risk due to interaction(RERI) of 3.30(95% CI 1.89, 4.70), an attributable proportion(AP) of 0.55(95% CI 0.43, 0.59), and a synergy index(S) of 3.07(95% CI 1.94, 4.84). Furthermore, when stratifying the duration of smoking cessation, long-term quitters(≥8 years) showed a lower risk of cardiovascular events compared to current smokers, regardless of whether they had MS. The hazard ratios were 0.45(95% CI 0.26, 0.78) for individuals with MS and 0.42(95% CI 0.19, 0.95) for individuals without MS. Conclusions:There is an additive interaction between smoking and MS on the risk of cardiovascular events. The coexistence of both factors significantly increases the risk of cardiovascular events.

Objective: To analyze the association between exposure patterns of adverse childhood experiences (ACEs) and anxiety symptom trajectories in medical college students. Methods: A survey was conducted on first-year students from Anhui Medical College and Anqing Medical College, using the Childhood Abuse Questionnaire, Family Disability Questionnaire, Childhood Adverse Social Experience Item, and Anxiety Self Rating Scale. The baseline survey was conducted from November to December 2019, and two follow-up visits were conducted once every six months until November to December 2020. The latent class analysis (LCA) was used to analyze the exposure patterns of ACEs. The latent class growth analysis (LCGA) was used to analyze the development trajectory of anxiety symptoms. The multiple logistic regression model was used to analyze the correlation between different exposure patterns of ACEs and the trajectory of anxiety symptom trajectories. Results: A total of 3 662 college students aged (19.2±1.0) were surveyed. The LCA showed that the exposure patterns of ACEs could be divided into the "high ACEs" group (13.4%), "high neglect/emotional abuse" group (25.7%), "high family dysfunction" group (6.9%), "high neglect" group (27.1%), and "low ACEs" group (26.3%). The LCGA divided anxiety trajectories into four groups: "high anxiety decline" (7.1%),"anxiety increase "(4.1%), "moderate anxiety"(52.9%), and "low anxiety"(35.9%). Using the low ACEs group as a reference group, compared with the low anxiety trajectory, the high ACEs group, high neglect/emotional abuse group, high family dysfunction group, high neglect group, and medium to high-level anxiety trajectory were all associated with an increased risk (P<0.05). Conclusion: There is heterogeneity in ACEs exposure patterns among medical college students, and ACEs exposure patterns are important influencing factors for anxiety symptom trajectories.
Humans ; Adverse Childhood Experiences ; Anxiety/epidemiology* ; Child Abuse/psychology* ; Students/psychology* ; Surveys and Questionnaires ; Adolescent ; Young Adult

Objective: To understand the performance of 2019-nCoV nucleic acid detection in screening of contacts of COVID-19 cases in same flights and provide evidence for the effective screening of persons at high risk for the infection in domestic flights. Methods: The information of passengers who took same domestic flights with COVID-19 cases in China from April 1, 2020 to April 30, 2022 were retrospectively collected,and χ² test was used to analyze positive nucleic acid detection rates in the passengers in different times before the onsets of the index cases, in different seat rows and in epidemic periods of different 2019-nCoV variants. Results: During the study period, a total of 433 index cases were identified among 23 548 passengers in 370 flights. Subsequently, 72 positive cases of 2019-nCoV nucleic acid were detected in the passengers, in whom 57 were accompanying persons of the index cases. Further analysis of the another 15 passengers who tested positive for the nucleic acid showed that 86.67% of them had onsets or positive detections within 3 days after the diagnosis of the index cases, and the boarding times were all within 4 days before the onsets of the index cases. The positive detection rate in the passengers who seated in first three rows before and after the index cases was 0.15% (95%CI: 0.08%-0.27%), significantly higher than in the passengers in other rows (0.04%, 95%CI: 0.02%-0.10%, P=0.007),and there was no significant difference in the positive detection rate among the passengers in each of the 3 rows before and after the index cases (P=0.577). No significant differences were found in the positive detection rate in the passengers, except the accompanying persons, among the epidemics caused by different 2019-nCoV variants (P=0.565). During the Omicron epidemic period, all the positive detections in the passengers, except the accompanying persons, were within 3 days before the onset of the index cases. Conclusions: The screening test of 2019-nCoV nucleic acid can be conducted in the passengers took the same flights within 4 days before the onsets of the index cases on board. Passengers who seated within 3 rows from the index cases can considered as the close contacts at high risk for 2019-nCoV, for whom screening should be conducted first and special managements are needed. The passengers in other rows can be classified as general risk persons for screening and management.
Humans ; COVID-19 ; Retrospective Studies ; SARS-CoV-2 ; China ; Nucleic Acids