In recent years， hyperuricemia （HUA） has shown a rapidly increasing incidence and tends to occur in increasingly young people， with a wide range of cardiac， renal， joint， and cancerous hazards and all-cause mortality associations. Western medicine treatment has limitations such as large liver and kidney damage， medication restriction， and easy recurrence. The intestine is the major extra-renal excretion pathway for uric acid （UA）， and the intestinal microecology can be regulated to promote UA degradation. It offers great potential to develop UA-lowering strategies that target the intestinal microecology， which are promising to provide safer and more effective therapeutic approaches. Traditional Chinese medicine （TCM） can treat HUA via multiple targets and multiple pathways from a holistic view， with low toxicity and side effects. Studies have shown that intestinal microecology is a crucial target for TCM in the treatment of HUA. However， its specific mechanism of action has not been fully elucidated. Focusing on the key role of intestinal microecology in HUA， this review explores the relationship between intestinal microecology and HUA in terms of intestinal flora， intestinal metabolites， intestinal UA transporters， and intestinal barriers. Furthermore， we summarize the research progress in TCM treatment of HUA by targeting the intestinal microecology， with the aim of providing references for the development of TCM intervention strategies for HUA and the direction of future research.

This paper interprets the disease name related to bi （痹） disease in traditional Chinese medicine （TCM） from the perspective of micropathological phenotypes in knee osteoarthritis （KOA）. By systematically reviewing classical TCM literature on the pathogenesis and clinical features of different subtypes such as damp-retention bi， bone bi， and tendon bi， and integrating these with current research on pathological subtypes of KOA including the synovitis type， cartilage-meniscus type， and subchondral bone type， the study explores the correlation between traditional disease terms and modern micropathological phenotypes. The author proposes subtype classifications of damp-retention bi corresponding to synovial inflammation， bone bi related to abnormal subchondral bone remodeling， and tendon bi representing cartilage and meniscus degeneration. This approach provides a microscopic biological explanation for TCM syndrome differentiation and offers new perspectives for advancing integrative diagnostic and therapeutic strategies in both Chinese and western medicine.

OBJECTIVE To analyze the results of subjective visual vertical(SVV)and subjective visual horizontal(SVH)in female patients with benign paroxysmal positional vertigo(BPPV).METHODS Retrospectively,310 peri-menopausal females(40-60 years old)who met the diagnostic criteria of BPPV,were included as the peri-menopausal group.110 female BPPV patients aged＜40 years and 332 female BPPV patients aged＞60 years were included as the youth and senior group.To analyze the SVV/SVH characteristics of female BPPV patients in different age groups.RESULTS 1.The total SVV/SVH abnormality rate in female BPPV patients was 42.29%;2.There was no difference in SVV/SVH abnormality rate between peri-menopausal and youth group in the different affected BPPV types(all P＞0.05);3.In senior group,the SVV/SVH abnormality rate showed horizontal semicircular canal cupulolithiasis BPPV(58.62%)＞horizontal semicircular canal canalolithiasis BPPV(48.65%)＞posterior semicircular canal BPPV(36.68%)in different affected BPPV types,with statistically significant differences(P＜0.05);4.There was no difference in the total SVV/SVH abnormality rate among BPPV patients when compared among the three groups(41.94%,46.36%,41.27%,P＞0.05).CONCLUSION The SVV/SVH abnormality rate in female BPPV patients is around 40%,and varies with age in different affected BPPV types.

The ethical basis of public health policy is relatively weakness, which is mainly reflected in the conflict between individual rights and public interests, the lack of moral norm, the short of ethical review, the low level of relevant legislation, the weak of ethical consciousness and so on. Therefore, it is necessary to take measures to improve relevant ethical policies and regulations, establish an ethical framework for evaluating public health policies, highlight ethical values and strengthen ethical awareness in public health policy-making. Make it carry a certain ethical dimension to achieve the purposes of maintaining and improving health.

Osteoporosis and knee osteoarthritis often co-occur and are closely related in terms of epidemiology， clinical symptoms， pathogenesis and other aspects. Therefore， it is necessary to manage the co-morbidity and treat the two as a whole. Based on the overall relationship between wei （痿） and bi （痹） in TCM， it is believed that osteoporosis and knee osteoarthritis have marrow loss and bone atrophy as the core pathogenesis of co-morbidity， and microfractures as the central pathological link. The overall treatment is rooted in boosting kidney， supplementing marrow and strengthening the bones. According to the pathological manifestations of microfractures in the process of co-morbidity， and the different deficiency and excess characteristics of wei and bi， it can be divided into three types， "wei emerging with mild bi"， "wei and bi progressing simultaneously"， and "emphasis on both wei and bi"， for treatment. In terms of "wei emerging with mild bi"， that is the early stage of osteoporosis， the traditional Daoyin （导引） is the main therapy. For "wei and bi progressing simultaneously"， it can be divided into three stages further， including the onset stage， remission stage， and recovery stage of knee pain， treated with Taohong Siwu Decoction （桃红四物汤）， Bushen Huoxue Formula （补肾活血方） and self-made Bushen Qianggu Formula （补肾强骨方） as the main formula respectively. For "emphasis on both wei and bi"， the proven formula， Qianggu Zhitong Formula （强骨止痛方）， is taken as the main prescription.

Objective To investigate the nutritional status and dietary structure of tuberculosis patients among dif-ferent populations, analyze the factors influencing the nutritional status of tuberculosis patients, and provide theo-retical basis for improving clinical nutrition and related issues in tuberculosis patients.Methods Tuberculosis pa-tients, non-tuberculosis patients, and healthy individuals were randomly selected for a questionnaire survey.De-scriptive analysis was conducted using SPSS 20.0 software.Statistical description was performed using rates and composition ratios, and qualitative data were described using relative numbers.Chi-square test was used to compare overall rates and composition ratios among different health conditions groups, with a significance level of α=0.05.Independent factors analysis of nutritional status body mass index (BMI) was conducted using multiple Logistic re-gression analysis for variables with statistically significant differences in the univariate analysis.Results There were differences in the nutritional status (x2 =62.184, P<0.05) and dietary diversity score (x2 =64.049, P<0.05) among tuberculosis patients, non-tuberculosis patients, and healthy individuals.Univariate analysis of nutri-tional status BMI showed statistically significant differences in gender, smoking, meat-based diet, vegetable-based diet, moderate diet diversity score, and 6 other variables for tuberculosis patients (P <0.05) , and in gender, age, ethnicity, marital status, occupation, education level, smoking, drinking white wine, drinking beer, meat-based diet, moderate diet, and 11 other variables for healthy individuals (P<0.05) .The variables with statisti-cally significant differences in the univariate analysis were included in the multiple ordinal logistic regression analy-sis model for both tuberculosis patients and healthy individuals.The results showed that the level of education, veg-etable intake, moderate food diversity score (DDS) of 4-6 were independent influencing factors of nutritional sta-tus BMI among tuberculosis patients (P<0.05);marital status was an independent influencing factor of nutritional status BMI among non-tuberculosis patients (P<0.05);while gender and occupation were independent influencing factors of nutritional status BMI among healthy individuals (P<0.05).Conclusion The dietary nutritional status of the three population groups varied.Targeted health education should be conducted, especially for tuberculosis patients, to address the issue of uneven dietary intake and promote good dietary habits among local tuberculosis pa-tients.

Objective To explore the research current situation of TCM regulation of mesenchymal stem cells through visualization analysis;To summarize the research direction and hotspots.Methods The research literature on TCM regulation of mesenchymal stem cells was retrieved from CNKI,VIP and Wanfang Data from 2003 to 2022.CiteSpace 6.1.R6 software was used to visually analyze the authors,institutions and keywords of the research literature,and clustering analysis and emergence analysis of keywords were carried out.CNKI database was used to make statistics on literature citations.Results A total of 2 404 articles were included in this study,and the research literature on TCM regulation of mesenchymal stem cells showed an overall increasing trend.The main research institutions were Guangzhou University of Chinese Medicine,Gansu University of Chinese Medicine and Liaoning University of Traditional Chinese Medicine,etc.The main authors were Liu Yongqi,Chen Dongfeng and Fan Yingchang,etc.The high-frequency keywords included osteogenic differentiation,proliferation,rat,osteoporosis and icariin.Conclusion The effects of TCM monomer and compounds on the proliferation and differentiation of stem cells is the hot research area in this field,and the osteogenic differentiation of mesenchymal stem cells is an important research trend at present.

AIM:To explore the core target and mechanism of α-Linolenic acid(ALA)in improving neuroinflammation through network pharmacology combined with in vitro experiments.METHODS:Pharmacological studies have shown that ALA has anti-inflammatory,antioxidant,and neuroprotec-tive properties.The targets of α-Linolenic acid were obtained from PharmMapper and Swiss Tar-get Prediction databases,the targets of neuroin-flammation were searched from GeneCards,TTD and OMIM databases,and the potential targets of ALA and neuroinflammation were obtained from Wayne diagram.Protein interaction network(pro-tein-protein interaction,PPI)of potential targets was constructed by STRING website,and the core targets in PPI were screened by Cytoscape 3.8.0 software.At the same time,potential targets are imported into DAVID database,GO and KEGG data were obtained and the results were visualized.Autodock vina and Pymol software were used to dock the selected core targets with ALA and visual-ize the results.An in vitro model of neuroinflamma-tion was constructed,and cell growth status,oxida-tive stress,and migration or repairing capacity were determined by CCK-8 analysis,SOD,MDA and cell scratches,and the expression of IL-6,iba 1,COX-2(PTGS2),and iNOS proteins was determined by ELISA or Western blot experiments.RESULTS:Network pharmacology analysis revealed 46 poten-tial targets of ALA for neuroinflammation,and 10 core targets,including IL-6 and PTGS 2.With 232 entries enriched by GO enrichment analysis and 70 signaling pathways enriched by KEGG enrichment analysis,molecular docking showed that ALA can form hydrogen bonding with COX-2.Experiments showed that ALA could improve cell viability,allevi-ate cell oxidative stress levels,and promote cell mi-gration and motor repair in an in vitro model of neuroinflammation.CONCLUSIONS:ALA may im-prove neuroinflammation by alleviating oxidative stress and inhibiting IL-6 and COX-2 protein expres-sion.

With the acceleration of social rhythm， the progress of science and technology， and the increase of the number of phubbers， the incidence of cervical degenerative diseases is also increasing year by year. Cervical spondylotic radiculopathy（CSR）， as one of the diseases induced by cervical degeneration， has seriously affected people's quality of life and physical and mental health. Traditional Chinese medicine（TCM） is effective in the treatment of CSR， but the theoretical and basic experimental evidence is not sufficient， and the current formulation standard of animal model is not unified. Therefore， based on the clinical guidelines of Chinese and Western medicine for CSR and the characteristics of the disease and syndrome， the author systematically summarized and analyzed the existing animal models， and found that the existing models of microvascular clamp nerve root compression method had a poor agreement with the the Chinese and Western medical guidelines， while the modeling methods of spinal canal insertion， autologous bone insertion compression， stainless steel column compression， and fixed frame cervical degeneration reflected a high degree of agreement in the Western medical guidelines. However， the Chinese medical diagnostic criteria were poorly matched. This indicates that the existing animal models of this disease show few TCM syndrome elements， and lack information collection and evaluation in animal behavioral evaluation similar to the four diagnoses of TCM. In conclusion， this paper aims to systematically evaluate the current status of animal model establishment of CSR based on the concept of combination of disease and syndrome， so as to provide a theoretical basis for the model establishment of CSR that is more consistent with clinical characteristics and symptoms of Chinese and Western medicine.

Magnetic resonance (MR) imaging is an important tool for prostate cancer diagnosis, and accurate segmentation of MR prostate regions by computer-aided diagnostic techniques is important for the diagnosis of prostate cancer. In this paper, we propose an improved end-to-end three-dimensional image segmentation network using a deep learning approach to the traditional V-Net network (V-Net) network in order to provide more accurate image segmentation results. Firstly, we fused the soft attention mechanism into the traditional V-Net's jump connection, and combined short jump connection and small convolutional kernel to further improve the network segmentation accuracy. Then the prostate region was segmented using the Prostate MR Image Segmentation 2012 (PROMISE 12) challenge dataset, and the model was evaluated using the dice similarity coefficient (DSC) and Hausdorff distance (HD). The DSC and HD values of the segmented model could reach 0.903 and 3.912 mm, respectively. The experimental results show that the algorithm in this paper can provide more accurate three-dimensional segmentation results, which can accurately and efficiently segment prostate MR images and provide a reliable basis for clinical diagnosis and treatment.
Male ; Humans ; Prostate/diagnostic imaging* ; Image Processing, Computer-Assisted/methods* ; Magnetic Resonance Imaging/methods* ; Imaging, Three-Dimensional/methods* ; Prostatic Neoplasms/diagnostic imaging*