Animal models combining disease and syndrome are important research tools to explore the nature of traditional Chinese medicine (TCM) syndromes. At present, the construction and evaluation methods of animal models have preliminarily established the foundation for standardized development. Qi-yin deficiency syndrome is a common type of TCM syndrome in cardiovascular diseases. It is an important pathogenic factor causing the onset, pathological damage, and chronic nature of cardiovascular diseases, as well as triggering other illnesses. The establishment of an animal model of cardiovascular disease with the characteristics of Qi-yin deficiency, along with an objective and standardized evaluation system, has become an important part of modern cardiovascular disease research. In recent years, research on the construction and evaluation of animal models of heart Qi-yin deficiency syndrome has increased, but the construction methods and evaluation criteria vary. Compared with other animal models, the literature is limited, lacking statistics and overall analysis. Therefore, based on the scientific connotation of heart Qi-yin deficiency syndrome, this article systematically reviews the evaluation system of its animal model, covering multidimensional methods such as macroscopic characterization assessment, physicochemical indicators and objective evaluation, and syndrome differentiation based on prescriptions. The specific model construction strategies are described, including single-factor induction methods (sleep deprivation, chronic intermittent hypoxia, arterial occlusion, high-salt feeding) and the compound-factor induction methods (sleep deprivation combined with drug method, chronic intermittent hypoxia combined with drug method, exhaustive swimming combined with drug method). Meanwhile, application examples of each model in the research are listed, the existing problems in the current model construction and evaluation are analyzed, and optimization directions are proposed, such as promoting the compound factor induction strategy and improving the objectivity of the evaluation criteria. This article aims to provide theoretical references for constructing an animal model of heart Qi-yin deficiency syndrome that conforms to TCM characteristics, and thereby laying a scientific foundation for the prevention and treatment of cardiovascular diseases with TCM.

[Objective] To investigate the antigen and gene frequency distribution of the MNS blood group system in the Han population of voluntary blood donors in Suzhou, and to explore the polymorphism of rare MNS blood group genes, in order to improve the construction of the local rare blood group database. [Methods] A total of 8 034 whole blood samples were randomly collected from Han blood donors at our station from October 2023 to June 2024. The MNS blood group phenotypes were identified using serological methods. Gene frequencies were analyzed and compared with those of ethnic populations in other regions. Rare MNS phenotype samples were subjected to gene sequencing. [Results] The distribution of MNS blood group system phenotypes within the population was as follows: the MM, NN, and MN phenotypes accounted for 23.00%, 27.12%, and 49.88% respectively; the SS, ss, and Ss phenotypes accounted for 0.30%, 90.99%, and 8.70% respectively. The gene frequencies of M, N, S, and s were 0.4794, 0.5206, 0.0465, and 0.9534 respectively. Chi-squared tests confirmed adherence to Hardy-Weinberg equilibrium with P-values of 0.997 and 0.349, showing statistical significance compared to some other regional ethnic populations (P<0.05). Additionally, one rare serological phenotype, S-s-, with a frequency of 0.01%, was identified. [Conclusion] The MNS blood group system in the Han population of voluntary blood donors in Suzhou exhibits polymorphism and regional distribution characteristics. Gene frequencies differ from those observed in other regions of China. It is essential to enhance the establishment of a rare blood type database in Suzhou to provide data support for precise clinical transfusion.

Objective:To analyze the methylation characteristics of the lymphocyte-specific protein-tyrosine kinase (LCK) promoter region in the peripheral blood circulation of rheumatoid arthritis (RA) patients and its correlation with clinical indicators.Methods:Targeted methylation sequencing was used to compare the methylation levels of 7 CpG sites in the LCK promoter region in the peripheral blood of RA patients with healthy controls (HC) and osteoarthritis (OA) patients. Correlation analysis and ROC curve construction were performed with clinical information.Results:Non-parametric tests revealed that compared with HC [0.53(0.50, 0.57)] and OA patients [0.59(0.54, 0.62), H=47.17, P<0.001], RA patients [0.63(0.59, 0.68)] exhibited an overall increase in methylation levels. Simultaneously, when compared with the HC group [0.38(0.35, 0.41), 0.59(0.55, 0.63), 0.60(0.55, 0.64), 0.59(0.55, 0.63), 0.58(0.53, 0.62), 0.45(0.43, 0.49), 0.57(0.54, 0.61)], the RA group [0.46(0.42, 0.49), 0.70(0.65, 0.75), 0.70(0.66, 0.76), 0.70(0.65, 0.75), 0.69(0.64, 0.74), 0.55(0.51, 0.59), 0.68(0.63, 0.73)] showed a significant elevation in methylation levels at CpG sites cg05350315_60, cg05350315_80, cg05350315_95, cg05350315_101, cg05350315_104, cg05350315_128, and cg05350315_142, with statistically significant differences ( Z=-5.63, -5.89, -5.91, -5.89, -5.98, -5.95, -5.95, all P<0.001). Compared with the OA group [0.65(0.59, 0.69), 0.65(0.60, 0.69), 0.64(0.58, 0.68), 0.50(0.45, 0.54), 0.63(0.58, 0.67)], the RA group [0.70(0.66, 0.76), 0.70(0.65, 0.75), 0.69(0.64, 0.74), 0.55(0.51, 0.59), 0.68(0.63, 0.73)] exhibited a significant increase in methylation levels at CpG sites cg05350315_95, cg05350315_101, cg05350315_104, cg05350315_128, and cg05350315_142, with statistically significant differences ( Z=-3.56, -3.52, -3.60, -3.67, -3.62; P=0.036, 0.042, 0.031, 0.030, 0.030). Furthermore, Pearson correlation coefficient analysis revealed a positive correlation between the overall methylation level in this region and C-reactive protein (CRP) ( r=0.19, P=0.004) and erythrocyte sedimentation rate ( r=0.14, P=0.035). The overall methylation level of the LCK promoter region in the CRP (low) group [0.63 (0.58, 0.68)] was higher than that in the CRP (high) group [0.65(0.61, 0.70)], with statistically significant differences ( Z=2.60, P=0.009). Finally, by constru-cting a ROC curve, the discriminatory efficacy of peripheral blood LCK promoter region methylation levels for identifying RA patients, especially seronegative RA patients, from HC and OA groups was validated, with an AUC value of 0.78 (95% CI: 0.63, 0.93). Conclusion:This study provides insights into the methylation status and methylation haplotype patterns of the LCK promoter region in the peripheral blood of RA patients. The overall methylation level in this region is positively correlated with the level of inflammation and can be used to differentiate seronegative RA patients from the HC and OA patients.

Objective To investigate the relationships of preoperative serum V-set and immunoglobulin domain 4 (VSIG4) and long chain non-coding ribonucleic acid (LncRNA) SBF2 antisense RNA1 (SBF2-AS1) with acute kidneyinjury (AKI) after percutaneous nephrolithotomy in patients with renal calculus. Methods A total of 109 patients with renal calculus in the hospital from January 2020 to December 2022 were selected as research objects. Serum VSIG4 level and LncRNA SBF2-AS1 expression were detected in all the patients before operation, and incidence of AKI was recorded after operation. Multiple Logistic regression model was used to analyze the factors affecting AKI after percutaneous nephrolithotomy in patients with renal calculus; the receiver operating characteristic (ROC) curve was used to analyze the values of VSIG4 and LncRNA SBF2-AS1 in predicting AKI after percutaneous nephrolithotomy in patients with renal calculus. Results In this study, 16 cases had AKI after operation. The serum VSIG4 level in the AKI group was significantly lower than that in the non-AKI group, while the LncRNA SBF2-AS1 expression was significantly higher than that in the non-AKI group (P < 0.05). Multivariate Logistic regression analysis showed that preoperative high level of uric acid, preoperative high expression of LncRNA SBF2-AS1, the longer operation time and intraoperative hypotension were the risk factors for AKI after percutaneous nephrolithotomy in patients with renal calculus (P < 0.05), while preoperative high level of VSIG4 was the protective factor (P < 0.05). The values of area under the curve of preoperative serum VSIG4 and LncRNA SBF2-AS1 in predicting AKI after percutaneous nephrolithotomy in patients with renal calculus were 0.854 and 0.705 respectively, and the area under the curve of combined prediction of the two indexes was 0.948, which was significantly higher than that of single index prediction (Z=1.995, 2.958, P < 0.05). Conclusion Decreased preoperative serum VSIG4 level and increased expression of LncRNA SBF2-AS1 in patients with renal calculus are associated with the occurrence of AKI after percutaneous nephrolithotomy, and the combined detection of preoperative VSIG4 and LncRNA SBF2-AS1 can predict the risk of AKI after operation.

Objective To investigate the serum tumor necrosis factor like weak inducer of apoptosis(TWE AK),sterol regulatory element-binding protein 1(SREBP-1)levels in patients with prostate cancer(PC)and their relationship with clinical pathological characteristics and progression free survival prognosis.Method A total of 94 PC patients who underwent PC radical surgery in Wuhan Dongxihu District People's Hospital from January 2018 to January 2020 were selected as the PC group.Meanwhile,50 patients with benign prostatic hyperplasia(BPH)during the same period were selected as the BPH group,and 50 healthy individuals who underwent physical examination during the same period were selected as the control group.Enzyme linked immunosorbent assay(ELISA)was used to detect the expression levels of serum TWEAK and SREBP-1.Kaplan-Meier survival analysis was used to analyze the effects of serum TWEAK and SREBP-1 on the progression free survival in prostate cancer patients.Multivariate COX regression analysis was used to analyze factors affecting the prognosis of progression free survival in prostate cancer patients.Results The serum TWEAK(77.14±15.46 ng/L)and SREBP-1(334.14±33.81 ng/L)levels in the PC group were higher than those in the BPH group(38.69±10.58 ng/L,201.69±28.74 ng/L)and control group(36.26±10.27 ng/L,189.51±27.65 ng/L),with significant differences(t=23.752,25.249;34.636,37.821,all P＜0.05).There was a positive correlation between serum TWEAK and SREBP-1 expression in PC patients(r=0.668,P=0.001).The serum TWEAK and SREBP-1 levels in PC patients with Gleason score＞7,TNM stage Ⅲ,and preoperative prostate specific antigen(PSA)level ≥ 20 ng/ml were higher than those with Gleason score≤7,TNM stage Ⅰ～Ⅱ,and preoperative PSA level＜20ng/ml,with significance differences(t=8.465～16.597,all P＜0.05).The 3-year overall progression free survival rates of the TWEAK high expression and low expression groups were 60.42％(29/48)and 86.96％(40/46),respectively.The 3-year overall progression free survival rates of the SREBP-1 high expression and low expression groups were 57.78％(26/45)and 87.76％(43/49),respectively.The 3-year cumulative progression free survival rates of the TWEAK high expression group and the SREBP-1 high expression group were lower than those of the TWEAK low expression group and the SREBP-1 low expression group,and the differences were significant(Log rankx2=8.125,9.547,P=0.004,0.002).TNM stage Ⅲ(OR=1.448,P＜0.001),Gleason score＞7(OR=1.401,P＜0.001),preoperative PSA ≥ 20 ng/ml(OR=1.353,P＜0.001),serum TWEAK(OR=1.338,P＜0.001),and SREBP-1(OR=1.293,P＜0.001)were independent risk factors affecting the progression free survival prognosis of PC patients.Conclusion Serum TWEAK and SREBP-1 in prostate cancer patients were increased,and they were correlated with the clinical pathological characteristics of PC.They could be serum biomarkers for evaluating the prognosis of progression free survival.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Hyperuricemic nephropathy （HN）， a secondary renal damage common in clinical practice， is characterized by early concealing and continuous progression. The understanding of HN in traditional Chinese medicine （TCM） is from a macroscopic perspective. According to the TCM theory， HN is caused by the combination of external pathogens and internal injuries， with the main pathogenesis being root deficiency combined with superficial excess and deficiency-excess in complexity. In western medicine， the understanding of HN is from the microscopic perspective， which holds that the occurrence of HN is the result of inflammation， oxidative stress， renin-angiotensin-aldosterone system （RAAS） activation， and metabolic abnormalities. The TCM syndromes of HN include internal dampness and heat， obstruction in dampness and turbidity， deficiency of spleen and kidney， and deficiency of kidney yin. Accordingly， the prescriptions should clear heat and dampness， remove dampness and turbidity， tonify spleen and kidney， and nourish kidney yin， respectively. In addition to TCM prescriptions， single herbal medicines and their extracts， Chinese patent medicines， and external applications of Chinese medicines have played a significant role in the treatment of HN， promoting the application of TCM in the treatment of HN. Moreover， the integrated traditional Chinese and western medicine has also played a role in the treatment of HN， enriching the treatment schemes of HN. Different from common kidney diseases such as acute and chronic glomerulonephritis and nephrotic syndrome， HN with particularity should be carefully differentiated in clinical practice. This article systematically summarizes the research progress in the treatment of traditional Chinese medicine and integrated traditional Chinese and western medicine on hyperuricemic nephropathy with TCM and integrated traditional Chinese and western medicine， aiming to enrich the system and theory of HN treatment and further guide the clinical practice.

As an important element of medical and health sector innovation, the translation of scientific and technological achievements plays a key role in promoting their clinical application and meeting the medical needs of the people. The authors sorted out the problems in such translation at these affiliated hospitals in terms of " people", " finance", " material", and " system". Starting from 2017, the Tenth People′s Hospital Affiliated to Tongji University has explored such practices as establishing hospital-led clinical medical science and technology innovation parks and technology service limited companies. These practices aimed to address the issues of insufficient hospital scientific and technological innovation capabilities and the gap between the hospital′s operation mechanism to translate its scientific and technological achievements and the enterprises and the market. The clinical medical science and technology innovation park integrating administration, industry, education, research, medicine and application, has taken multiple measures to attract excellent research talents and projects from within and beyond the hospital, promote the implementation of innovative scientific research projects. The hospital also established a health industry mode with engagement of social capital from large enterprises. The Technology Services Co., Ltd. was based on the incubation and translation of hospital achievements, combining market and clinical needs, promoting multi-party cooperation between hospitals and external enterprises, improving the chain operation mechanism of hospital scientific and technological achievements translation work, and alleviating the problem of insufficient research pilot funds and productibility funds by means of hospital-led fundraising. The number of patent authorizations of hospitals had increased from 23 cases in 2018 to 105 in 2022, and the amount of patent conversion had increased from 2 million yuan in 2020 to 11 million yuan in 2022. It is recommended that affiliated hospitals of universities further improve the organizational structure of achievement translation, strengthen their professional talent teams, improve their operation mechanism of achievement translation, build a platform for medical school-enterprise cooperation, and improve the evaluation mechanism of translation assessment, in order to promote a virtuous cycle of hospital′s scientific and technological achievement translation work.

Objectives:To construct a nomogram prediction model using common preoperative indicators for early weight loss (EWL) 1 year after laparoscopic sleeve gastrectomy (LSG).Methods:Relevant data of obese patients who had undergone LSG from January 2015 to May 2022 in Fujian Medical University Union Hospital and Quanzhou First Hospital Affiliated Fujian Medical University were analyzed. Patients with a history of major abdominal surgery, severe gastroesophageal reflux disease, pregnancy within 1 year after surgery, or who were lost to follow-up were excluded, resulting in a total of 200 patients in the study (190 from Fujian Medical University Union Hospital and 10 from Quanzhou First Hospital Affiliated Fujian Medical University). The participants were 51 men and 149 women of a mean age 29.9±8.2 years and a body mass index (BMI) 38.7±6.5 kg/m 2. All patients in this group underwent standardized LSG procedure. Achieving ideal weight (BMI≤25 kg/m 2) 1 year after LSG was defined as goal of EWL. Logistic regression analyses were performed to identify factors that independently influenced EWL. These factors were incorporated into the nomogram model. Receiver operating characteristic (ROC) curves (the larger the area under the curve [AUC], the better the predictive ability and accuracy of the model), likelihood ratio test (higher likelihood ratio indicates greater model homogeneity), decision curve analysis (higher net benefit indicates a better model), Akaike information criterion (AIC; smaller AIC indicates a better model), and Bayesian information criterion (BIC; smaller BIC indicates a better model) were used to validate the predictive ability of the column line diagram model. Results:In this study of 200 obese patients who underwent LSG surgery, 136 achieved EWL goal, whereas the remaining 64 did not. The rate of EWL goal achievement of the entire group was 68.0%. Compared with patients who did not achieve EWL goal, those who did had lower BMI, alanine transaminase, aspartate transaminase, triglycerides, and higher cholesterol. Additionally, the proportion of female was higher and the proportions of patients with fatty liver and hypertension lower in those who achieved EWL goal (all P<0.05). Univariate and multivariate logistic regression analysis revealed that preoperative BMI (OR=0.852, 95%CI: 0.796-0.912, P<0.001), alanine transaminase (OR=0.992, 95%CI: 0.985-0.999, P=0.024), presence of fatty liver (OR=0.185, 95%CI: 0.038-0.887, P=0.035) and hypertension (OR=0.374, 95%CI: 0.144-0.969, P=0.043) were independently associated with failure to achieve EWL goal. Cholesterol (OR=1.428, 95%CI: 1.052-1.939, P=0.022) was independently associated with achieving EWL goal. We used the above variables to establish an EWL nomogram model. ROC analysis, the likelihood ratio test, decision curve analysis, and AIC all revealed that the predictive value of the model was better than that of BMI alone (nomogram model vs. BMI: area under the curve 0.840 vs. 0.798, P=0.047; likelihood ratio: 58.785 vs. 36.565, AIC: 193.066 vs. 207.063, BIC: 212.856 vs. 213.660). Conclusion:Our predictive model is more accurate in predicting EWL after LSG compared with using BMI.