OBJECTIVE To optimize the forming process of Yindan huoxue tongyu granules， and evaluate the quality of the granules. METHODS Taking forming rate， angle of repose， moisture， moisture absorption rate and dissolution rate as indexes， single factor experiment combined with Plackett-Burman design was adopted to screen key process parameters； analytic hierarchy process combined with entropy weight method and Box-Behnken response surface method were used to optimize the molding process of Yindan huoxue tongyu granules， and the forming process was verified. The relative homogeneity index， bulk density， vibration density， Hausner ratio， angle of repose， moisture and hygroscopicity were used as secondary physical indexes to establish the physical fingerprints of 10 batches of Yindan huoxue tongyu granules to evaluate particle quality consistency. RESULTS The optimal molding process of Yindan huoxue tongyu granules was as follows： mannitol as the fixed excipient， the drug-assisted ratio was 1∶1（m/m） and the drying time was 1 h； 90% ethanol was used as wetting agent and the amount of it was 32%， the drying temperature was 70 ℃. The results of validation tests showed that the average comprehensive score was 97.45， which was close to the predicted value of 97.18. The similarities between the physical fingerprints of 10 batches of Yindan huoxue tongyu granules prepared by the optimal molding process and the reference physical fingerprint were all higher than 0.99. CONCLUSIONS The molding process is stable and feasible， and the quality of Yindan huoxue tongyu granules produced is stable and controllable.

OBJECTIVE To evaluate the quality of Yindan huoxue tongyu granules. METHODS Taking high performance liquid chromatography with ultraviolet and evaporative light scattering detection as method， the fingerprint of 15 batches of Yindan huoxue tongyu granules was established， and similarity evaluation was performed by Similarity Evaluation System of Chromatographic Fingerprint of TCM （2012 edition） to determine common peaks. The common peaks were identified by comparing with reference substance chromatograms and single decoction piece chromatograms. Network pharmacology was used to screen out core targets and pathways of identified components， construct a “component-target-pathway” network diagram， and predict the pharmacodynamic components of Yindan huoxue tongyu granules， and the content determination of these components was carried out by the same method. RESULTS HPLC fingerprints of 15 batches of Yindan huoxue tongyu granules were characterized with 40 common peaks， and 17 components including salvianolic acid B， astragaloside Ⅳ， notoginsenoside R1， and ginkgolide A were identified. Network pharmacology predicted that 17 components mainly acted on 97 core targets and 137 pathways to exert their pharmacological effect. Average contents of 13 bioactive components in 15 batches of samples were 0.126 8， 0.232 0， 0.073 8， 0.353 2， 3.620 2， 0.191 0， 0.333 3， 0.317 4， 0.785 0， 0.538 2， 0.460 0， 2.475 1 and 0.347 7 mg/g， including calycosin-7-O-β-D-glucoside， rosmarinic acid， formononetin， lithospermic acid， salvianolic acid B， ononin， ginsenoside Rb1， ginsenoside Rd， ginkgolide C， ginkgolide A， ginkgolide B， notoginsenoside R1， and astragaloside Ⅳ. CONCLUSIONS The established fingerprint of Yindan huoxue tongyu granules can reflect the overall characteristics of the preparation. The content determination method for its pharmacodynamic components， developed in combination with network pharmacology， is accurate， reliable， and exhibits good repeatability， making it suitable for evaluating the quality of Yindan huoxue tongyu granules.

Objective　Exploring the risk factors and degree of influence on treatment regression of patients with etiologically positive pulmonary tuberculosis in Bijie city, so as to provide reference for the precise prevention and treatment of pulmonary tuberculosis epidemic. Methods　The medical records of registration, treatment and management of pulmonary tuberculosis patients in Bijie City with positive etiology from 2017 to 2022 were derived from the Tuberculosis Monitoring Report Information Management System. Statistically significant variables were screened using binary logistic regression. Revealing interdependencies between factors and conditional probabilities by constructing Bayesian network models. 　Results　A total of 21 662 cases of etiologically positive pulmonary tuberculosis were registered in Bijie City from 2017 to 2022, with etiologically positive rate of 48.60% and a successful treatment rate of 89.52%, both of which were on the rise overall (χ2trend=2 618.15, P<0.001; χ2trend=102.84, P<0.001). A multifactorial analysis showed that gender, age, ethnicity, occupation, patient origin, HIV test results, migrating population, and treatment classification were influencing factor for the successful treatment rate (P<0.05). The Bayesian network model showed that age and treatment classification were the direct factors affecting the treatment outcome, while gender, occupation and patient origin were the indirect factors. Conditional probability showed that patients<20 years of age and initial treatment had the highest rate of successful treatment (96.75%), with a 3.25% probability of having an adverse outcome; Patients≥80 years of age who were retreated had the lowest rate of successful treatment (58.70%), with a 41.30% probability of having an adverse outcome. Conducting causal effect speculation, when preventing tuberculosis in older persons aged 60 years and over, and the other patients are newly treated patients, the successful treatment rate increased from 89.50% to 93.10%, with an increase of 3.60%; Nearly 50.00% fewer farmers are without tuberculosis, and the source of the other patients is active detection (health check-ups and proactive screening), with an increase in the successful treatment rate from 89.50% to 91.70%, with a change in the conditional probability value of 2.20%. Conclusions　Consultation and management of male, elderly, re-treatment, farmer, HIV-positive pulmonary tuberculosis patients in Bijie should be strengthened. Meanwhile, causal correlation effect inference using Bayesian networks is important for precise prevention, control and treatment of diseases.

OBJECTIVE To optimize the water extraction technology for Kaixin granules. METHODS UPLC-MS/MS method was established for the simultaneous determination of ginsenoside Rg1， ginsenoside Re， ginsenoside Rb1， tenuifolin， polygalaxanthone Ⅲ and 3， 6′-disinapoyl-sucrose. An orthogonal test was designed with extraction times， extraction duration， and the volume of added water as factors. Using the contents of the aforementioned six indicator components and the extract yield as evaluation indexes， analytic hierarchy process-entropy weight method was employed to determine the combined weights of each indicator. Subsequently， process optimization and validation were conducted by integrating grey relational analysis （GRA） and back propagation （BP） neural network. RESULTS The water extraction technology optimized by the orthogonal test and GRA was 10- fold water for the first decoction and 8-fold water for the subsequent two， extracting 3 times，extracting for 1 h each time； the average comprehensive score of the validation experiment was 91.10 （RSD＝0.31%， n＝3）. The water extraction technology optimized by BP neural network was extracting 3 times with 10-fold water added each time， extracting for 1.5 h each time； the average comprehensive score of the validation experiment was 95.89 （RSD＝0.73%， n＝3）. Considering practical production requirements， the optimal water extraction technology was extraction performed three times， with 10-fold water for the first decoction and 8-fold water for the subsequent two extractions， with an extraction time of 1 h each. CONCLUSIONS The optimized water extraction technology for Kaixin granules is stable and feasible.

Gastric cancer is one of the most common malignant tumors worldwide,with its incidence and mortality rates ranking third among malignant tumors in China.Regulated cell death(RCD)is a type of cell death activated by signal transduction modules and closely connected to the progression and treatment of gastric cancer.Different types of RCD,comprising apoptosis,pyroptosis,ferroptosis,cuproptosis,and autophagy,not only aid in eliminating damaged cells,but also serve a crucial role in suppressing gastric cancer spread.This paper reviews different forms of RCD and their roles in the progression of gastric cancer,so as to provide reference for new diagnosis and treatment strategies of gastric cancer.

Objective:To investigate the relationship between intramuscular adipose tissue index (IATI) calculated from computed tomography images at transverse process of the first lumbar and all-cause mortality in maintenance dialysis patients, and to provide a reference for improving the prognosis in these patients.Methods:It was a multicenter retrospective cohort study. The clinical data of patients who received maintenance hemodialysis or peritoneal dialysis treatment from January 1, 2017 to December 31, 2019 in 4 grade Ⅲ hospitals including Zhongda Hospital Affiliated to Southeast University, Taizhou People's Hospital Affiliated to Nanjing Medical University, Affiliated Hospital of Yangzhou University, and the Third Affiliated Hospital of Soochow University were retrospectively collected. IATI was calculated by low attenuation muscle (LAM) density/skeletal muscle density. The receiver-operating characteristic curve was used to determine the optimal cut-off value of IATI, and the patients were divided into high IATI group and low IATI group according to the optimal cut-off value. The differences of baseline clinical data and measurement parameters of the first lumbar level between the two groups were compared. The follow-up ended on December 23, 2022. The endpoint event was defined as all-cause mortality within 3 years. Kaplan-Meier survival curve and log-rank test were used to analyze the survival rates and the differences between the two groups. Multivariate Cox regression analysis models were used to analyze the association between IATI and the risk of all-cause mortality in maintenance dialysis patients. Multivariate logistic regression analysis model was used to analyze the influencing factors of high IATI.Results:A total of 478 patients were eligibly recruited in this study, with age of (53.55±13.19) years old and 319 (66.7%) males, including 365 (76.4%) hemodialysis patients and 113 (23.6%) peritoneal dialysis patients. There were 376 (78.7%) patients in low IATI (<0.42) group and 102 (21.3%) patients in high IATI (≥0.42) group. The proportion of age ≥ 60 years old ( χ2=24.746, P<0.001), proportion of diabetes mellitus ( χ2=5.570, P=0.018), fasting blood glucose ( t=-2.145, P=0.032), LAM density ( t=-3.735, P<0.001), LAM index ( t=-7.072, P<0.001), and LAM area/skeletal muscle area ratio ( Z=-9.630, P<0.001) in high IATI group were all higher than those in low IATI group, while proportion of males ( χ2=11.116, P<0.001), serum albumin ( Z=2.708, P=0.007) and skeletal muscle density ( t=12.380, P<0.001) were lower than those in low IATI group. Kaplan-Meier survival analysis showed that the 3-years overall survival rate of low IATI group was significantly higher than that in high IATI group (Log-rank χ2=19.188, P<0.001). Multivariate Cox regression analysis showed that IATI<0.42 [<0.42/≥0.42, HR(95% CI): 0.50 (0.31-0.83), P=0.007] was an independent protective factor of all-cause mortality, and age ≥60 years old [ HR (95% CI): 2.61 (1.60-4.23), P<0.001], diabetes mellitus [ HR (95% CI): 1.71 (1.06-2.78), P=0.029] and high blood neutrophil/lymphocyte ratio [ HR (95% CI): 1.04 (1.00-1.07), P=0.049] were the independent risk factors of all-cause mortality in maintenance dialysis patients. Stepwise Cox regression analysis showed that IATI<0.42 was still an independent protective factor of all-cause mortality in maintenance dialysis patients [<0.42/≥0.42, HR (95% CI): 0.45 (0.27-0.76), P=0.003]. Multivariate logistic regression analysis showed that low skeletal muscle density [ OR (95% CI): 0.84 (0.81-0.88), P<0.001] and high serum triglyceride [ OR (95% CI): 1.39 (1.07-1.82), P=0.015] were the independent influencing factors of IATI≥0.42. Conclusion:IATI<0.42 of the first lumbar level is an independent protective factor of all-cause mortality in maintenance dialysis patients. Localized myosteatosis within high-quality skeletal muscle may reduce the risk of all-cause mortality in these patients.

This study searched the clinical researches on traditional Chinese medicine （TCM） for cardiovascular diseases registered in Chinese Clinical Trial Registry and the US Clinical Trial Registry， the cardiovascular disease-related studies funded by the National Natural Science Foundation of China， as well as those published in China National Knowledge Infrastructure （CNKI）， Wanfang database， VIP.com， China Biology Medicine disc （CBMdisc）， Embase， Medline， Cochrane Library， and other databases published cardiovascular disease-related studies from 1 January 2021 to 30 June 2023. In order to analyse and evaluate the research progress of TCM treatment for coronary heart disease， hypertension， heart failure， and arrhythmia， this study aimed at recent research hotspots and research direction. It is found that the research on TCM for cardiovascular diseases was gradually deepening and the high-quality evidence continued to emerge. It is believed that studies related to the prevention and treatment of common cardiovascular diseases by TCM reflected the multi-angle integration of modern technology and pattern differentiation and treatment， closer integration of clinical and basic research， and further optimisation of pattern identification and interventions. On this basis， the research programme and implementation process should be further standardized， and the translation of research results should be emphasized to promote the standardized application and promotion of TCM diagnosis and treatment of cardiovascular diseases.