ObjectiveTo explore the potential mechanism of Shenqi Jianxin Formula （参芪健心方） in the treatment of chronic heart failure （CHF） from the perspective of regulating mitochondrial autophagy via the PTEN-induced kinase 1 （PINK1）/E3 ubiquitin ligase （Parkin） pathway. MethodsMale SD rats were subjected to abdominal aortic constriction to establish the CHF model. Twenty-four successfully modeled rats were randomly divided into the model group， sacubitril/valsartan group， and low- and high-dose Shenqi Jianxin Formula groups， with 6 rats in each group. Six other rats were set as the sham surgery group， which were only separated the abdominal aorta and then closed the abdomen. Rats in the low-dose and high-dose Shenqi Jianxin Formula groups were given intragastric administration of Shenqi Jianxin Formula suspension at doses of 4.41 g/（kg·d） and 17.64 g/（kg·d）， respectively； the sacubitril/valsartan group received intragastric administration of sacubitril/valsartan sodium tablet suspension at 10 mg/（kg·d）； the sham surgery group and the model group were given normal saline at 10 ml/（kg·d） via intragastric gavage. The intervention lasted for 4 consecutive weeks. Cardiac function indices including left ventricular ejection fraction （LVEF） and left ventricular fractional shortening （LVFS） were detected， and serum brain natriuretic peptide （BNP） content was measured. HE staining and Masson staining were used to observe myocardial histopathological changes. Transmission electron microscopy was employed to examine the ultrastructure of cardiac tissues. Quantitative real-time polymerase chain reaction （Rt-qPCR） was performed to determine the mRNA expressions of PINK1/Parkin pathway-related factors and autophagy-associated proteins including Beclin-1， p62， and microtubule-associated protein 1 light chain 3 （LC3） in myocardial tissues. ResultsCompared with the sham surgery group， the model group showed significant decreases in LVEF and LVFS levels， an increase in serum BNP content， down-regulated mRNA and protein expressions of PINK1， Parkin and Beclin-1 in cardiac tissues， up-regulated mRNA and protein expressions of p62， as well as significant reductions in LC3B mRNA expression， phosphorylated PTEN-induced kinase 1 （p-PINK1） and phosphorylated E3 ubiquitin ligase （p-Parkin） protein levels， and the ratio of microtubule-associated protein 1 light chain 3-Ⅱ to microtubule-associated protein 1 light chain 3-Ⅰ （LC3Ⅱ/LC3Ⅰ） （P＜0.05）. Pathological results revealed obvious myocardial cell edema， necrosis and degeneration， increased disorder of myocardial fiber arrangement， extensive inflammatory cell infiltration， moderate to severe mitochondrial swelling， a few mitochondrial vacuolar changes， and no obvious autophagy in the field of vision in the model group. Compared with the model group， all the above indicators were significantly improved in the high-dose Shenqi Jianxin Formula group and the sacubitril/valsartan group （P＜0.05）. Moreover， the improvement of each index in the high-dose Shenqi Jianxin Formula group was superior to that in the low-dose group （P＜0.05）. In the high-dose Shenqi Jianxin Formula group， myocardial myofibrils were arranged regularly with orderly orientation， the striated structure was clear， and necrotic cells significantly reduced. ConclusionShenqi Jianxin Formula can activate the PINK1/Parkin signaling pathway in myocardial tissues， enhance mitochondrial autophagy， and clear dysfunctional mitochondria， thereby improving cardiac function and delaying the progression of CHF.

OBJECTIVE To explore and predict the quality markers （Q-markers） of Compound xiebai capsules for the treatment of chronic obstructive pulmonary disease （COPD） by constituents analysis combined with network pharmacology and molecular docking studies， and to establish the quality standard of Compound xiebai capsules. METHODS UHPLC-TOF-MS was used for qualitative analysis of Compound xiebai capsules， and the candidate Q-markers of Compound xiebai capsules were screened by combining network pharmacology and molecular docking technology. Further， HPLC was applied to establish the fingerprints of 15 batches of Compound xiebai capsules and to conduct quantitative analysis of the main components. RESULTS A total of 51 components were identified from Compound xiebai capsules. Among them， 15 components， namely oxyberberine， methylworenine， coptisine， tetrahydroberberine， epiberberine， berberine， magnoflorine， gandensin， cucurbitacin D， hydroxygenkwan， jatrorrhizine， columbamine， quercetin， cucurbitacin R， and palmatine， were determined as the candidate Q-markers for Compound xiebai capsules in the treatment of COPD. A total of 13 common peaks were calibrated in the fingerprints of 15 batches of Compound xiebai capsules for COPD treatment， with similarity values ranging from 0.976 to 0.999 compared to the reference fingerprint. Seven components were identified among these peaks， namely peak 5 （magnoflorine）， peak 8 （jatrorrhizine）， peak 9 （epiberberine）， peak 10 （columbamine）， peak 11 （coptisine）， peak 12 （palmatine）， and peak 13 （berberine）. Their respective contents were （0.267±0.048）， （0.453±0.084）， （0.572±0.160）， （0.392±0.074）， （1.076±0.273）， （1.477±0.271）， and （6.664±1.249） mg/g （ n ＝3）. CONCLUSIONS This study predicted 15 candidate Q-markers of Compound xiebai capsules in the treatment of COPD and established the fingerprint along with a quantitative determination method for seven major components.

ObjectiveTo conduct a comparative quality analysis of Inulae Flos， fuzz of Inulae Flos and calyx of Inulae Flos， elucidating the scientific connotation of the "removing calyx" process in the traditional processing of Inulae Flos. MethodsInulae Flos decoction pieces were collected， and the fuzz and calyx of Inulae Flos were prepared according to the experiences of old medicine workers. Subsequently， according to the methods under the "Inulae Flos" item in the 2025 edition of the Pharmacopoeia of the People's Republic of China， the appearance characteristics and thin-layer chromatography（TLC） identification of these samples were tested， and the moisture content， total ash content， extract content were also measured. The characteristic fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established by high-performance liquid chromatography（HPLC）， followed by similarity evaluation， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA）. The contents of cryptochlorogenic acid， caffeic acid， 1，3-O-dicaffeoylqunic acid， 1，5-O-dicaffeoylqunic acid， and 1-O-acetyl britannilactone were determined to compare the quality differences of Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos. ResultsThe moisture content of Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos was all<10%. The determination results of total ash content were as follows：Calyx of Inulae Flos>Inulae Flos>fuzz of Inulae Flos， and the determination results of alcohol-soluble extract content were as follows：Fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. HPLC fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established， and 22 common peaks were identified. The similarity analysis and PCA showed that the overall quality of Inulae Flos and fuzz of Inulae Flos was similar， while the overall quality of calyx of Inulae Flos differed significantly from that of Inulae Flos and fuzz of Inulae Flos. PLS-DA results showed that Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos clustered into distinct groups， indicating significant differences among them. Cryptochlorogenic acid and caffeic acid had relatively high contents in calyx of Inulae Flos， the contents of 1，3-O-dicaffeoylqunic acid and 1，5-O-dicaffeoylqunic acid in Inulae Flos and fuzz of Inulae Flos were higher than those in calyx of Inulae Flos. The order of 1-O-acetyl britannilactone content was determined as follows：fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. ConclusionThe scientific nature of "Removing Calyx" process in the cleansing of Inulae Flos by old medicine workers is demonstrated by the resulting fuzz of Inulae Flos decoction pieces exhibiting enhanced cleanliness and higher content of the index component 1-O-acetyl britannilactone. This study provides a reference basis for further improving and enhancing the processing method and quality control standards of Inulae Flos.

Objective To construct glucose oxidase（GOx）–loaded nanogels （GONGs）, optimize their formulation, and evaluate their capacity to inhibit the Warburg effect in glioma cells. Methods A responsive polymer （HAM） was synthesized and used to self-assemble GONGs, which were then characterized. Encapsulation efficiency and drug loading were determined using fluorescence spectrophotometry. Biocompatibility was tested by measuring cytotoxicity and hemolytic activity. Western blotting was used to evaluate the effects of GONGs on the expression of proteins associated with the Warburg phenotype and oxidative damage in glioma cells. Results GONGs prepared at a drug–to–polymer ratio of 1∶10 exhibited a particle size of 140.3 nm and a zeta potential of −27.2 mV. Compared with free GOx, GONGs markedly reduced cytotoxicity, increased the IC₅₀ in hUVEC cells from 2.150 nmol/L to 74.86 nmol/L, and significantly decreased hemolysis. At a GOx concentration of 2 nmol/L, GONGs effectively downregulated glycolysis-related proteins, such as HK2 and LDHA, and inhibited glutamine metabolism in glioma cells. Conclusion GONGs exhibited high GOx loading capacity, significantly reduced GOx-induced cytotoxicity, inhibited the Warburg effect in glioma cells and induced oxidative damage.

Objective: To develop a clinical decision and prescription generation system (CDPGS) specifically for diarrhea in traditional Chinese medicine (TCM), utilizing a specialized large language model (LLM), Qwen-TCM-Dia, to standardize diagnostic processes and prescription generation. Methods: Two primary datasets were constructed: an evaluation benchmark and a fine-tuning dataset consisting of fundamental diarrhea knowledge, medical records, and chain-of-thought (CoT) reasoning datasets. After an initial evaluation of 16 open-source LLMs across inference time, accuracy, and output quality, Qwen2.5 was selected as the base model due to its superior overall performance. We then employed a two-stage low-rank adaptation (LoRA) fine-tuning strategy, integrating continued pre-training on domain-specific knowledge with instruction fine-tuning using CoT-enriched medical records. This approach was designed to embed the clinical logic (symptoms → pathogenesis → therapeutic principles → prescriptions) into the model’s reasoning capabilities. The resulting fine-tuned model, specialized for TCM diarrhea, was designated as Qwen-TCM-Dia. Model performance was evaluated for disease diagnosis and syndrome type differentiation using accuracy, precision, recall, and F1-score. Furthermore, the quality of the generated prescriptions was compared with that of established open-source TCM LLMs. Results: Qwen-TCM-Dia achieved peak performance compared to both the base Qwen2.5 model and five other open-source TCM LLMs. It achieved 97.05% accuracy and 91.48% F1-score in disease diagnosis, and 74.54% accuracy and 74.21% F1-score in syndrome type differentiation. Compared with existing open-source TCM LLMs (BianCang, HuangDi, LingDan, TCMLLM-PR, and ZhongJing), Qwen-TCM-Dia exhibited higher fidelity in reconstructing the “symptoms → pathogenesis → therapeutic principles → prescriptions” logic chain. It provided complete prescriptions, whereas other models often omitted dosages or generated mismatched prescriptions. Conclusion By integrating continued pre-training, CoT reasoning, and a two-stage fine-tuning strategy, this study establishes a CDPGS for diarrhea in TCM. The results demonstrate the synergistic effect of strengthening domain representation through pre-training and activating logical reasoning via CoT. This research not only provides critical technical support for the standardized diagnosis and treatment of diarrhea but also offers a scalable paradigm for the digital inheritance of expert TCM experience and the intelligent transformation of TCM.

Objective: To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures. Methods: Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination. Conclusion The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.

In the context of the rapid development of 5G technology， the development of artificial intelligence （AI） in traditional Chinese medicine （TCM） faces new opportunities and challenges. Focusing on how to uphold tradition while innovating in the development of AI in TCM， starting from the current development status of AI in Chinese medicine， including the integration of four diagnostic methods， syndrome differentiation and treatment， auxiliary diagnosis and treatment， research and development of Chinese herbal medicine， prevention and treatment of diseases， knowledge inheritance， and other aspects， this paper discussed the support of policies and technical advancements， as well as development opportunities such as increased demand for health. Regarding machine ethics， data ethics， regulatory review， and other aspects， it also proposed some suggestions that the training algorithm should be improved to assist medical work； data ownership should be clarified to ensure data security； and an AI ethics committee should be set up to improve the review system， aiming to maximize the advantages of smart healthcare and accelerate the modernization of TCM for the benefit of patients and the service of human health.

ObjectiveBased on the theory of "gut-prostate" axis， this study explored the effects and mechanisms of Zishen Tongguan formula and Cinnamomi Cortex in the formula in treating rats with chronic non-bacterial prostatitis（CNP） by detecting the levels of inflammatory factors， and the composition and structure of intestinal flora in CNP rats. MethodsEight out of 42 SD rats were randomly selected as the normal group， and the remaining rats were injected with carrageenan to prepare the CNP model. After successful modeling， 32 rats were randomly divided into the model group， Ningmitai capsule group（0.50 g·kg^-1）， Zishen Tongguan formula group（2.00 g·kg^-1）， and the Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma pair group（PCC-AR group， 2.00 g·kg^-1）， with 8 rats in each group. The administered groups were given the corresponding medicinal solution by gavage， and the normal and model groups were intragastrically administered with an equal volume of normal saline， once a day for 14 consecutive days. The prostate tissues of rats were collected and subjected to hematoxylin-eosin（HE） staining and Masson staining to observe the pathological changes of the tissues in each group. Enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of related inflammatory factors in rat serum， and 16S rDNA sequencing was used to analyze the abundance and diversity changes of gut microbiota before and after administration， and species difference analysis was performed. ResultsAll the administered groups could alleviate the inflammatory symptoms of CNP rats， increase the expression levels of anti-inflammatory factors and decrease the expression levels of pro-inflammatory factors， with the most sIgnificant effect observed in the Zishen Tongguan formula group. Compared with the normal group， the expression levels of interleukin（IL）-8， hypersensitive C-reactive protein（hs-CRP）， immunoglobulin（Ig）M， secretory IgA （sIgA）， and inducible nitric oxide synthase（iNOS） were sIgnificantly increased in the model group（P<0.01）. Compared with the model group， the expression levels of the above inflammatory factors in all administered groups were significantly reduced（P<0.01）. When compared with the PCC-AR group， the Zishen Tongguan formula group showed a significant decrease in transforming growth factor（TGF）-β₁ expression level（P<0.05） and a significant increase in IgM expression level（P<0.01）. The results of gut microbiota analysis showed that， compared with the PCC-AR group， at the order level， the Zishen Tongguan formula group significantly reduced the relative abundance of conditional pathogens such as Bacteroidales， Acidaminococcales， Rhodospirillales， Clostridiales， and Elusimicrobiales（P<0.01）. And at the genus level， the Zishen Tongguan formula group significantly decreased the relative abundance of pathogenic microbiota such as Lachnospira and Bacteroides（P<0.01） and significantly increased the relative abundances of beneficial microbiota such as Ruminococcus and Lactobacillus（P<0.01）. ConclusionZishen Tongguan formula can reduce the level of harmful intestinal bacteria， increase the level of beneficial intestinal bacteria， down-regulate the expression of serum inflammatory factors， and the small amount of Cinnamomi Cortex in the formula may play a key role in the treatment of CNP with this formula.

ObjectiveBased on the theory of "gut-prostate" axis， this study explored the effects and mechanisms of Zishen Tongguan formula and Cinnamomi Cortex in the formula in treating rats with chronic non-bacterial prostatitis（CNP） by detecting the levels of inflammatory factors， and the composition and structure of intestinal flora in CNP rats. MethodsEight out of 42 SD rats were randomly selected as the normal group， and the remaining rats were injected with carrageenan to prepare the CNP model. After successful modeling， 32 rats were randomly divided into the model group， Ningmitai capsule group（0.50 g·kg^-1）， Zishen Tongguan formula group（2.00 g·kg^-1）， and the Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma pair group（PCC-AR group， 2.00 g·kg^-1）， with 8 rats in each group. The administered groups were given the corresponding medicinal solution by gavage， and the normal and model groups were intragastrically administered with an equal volume of normal saline， once a day for 14 consecutive days. The prostate tissues of rats were collected and subjected to hematoxylin-eosin（HE） staining and Masson staining to observe the pathological changes of the tissues in each group. Enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of related inflammatory factors in rat serum， and 16S rDNA sequencing was used to analyze the abundance and diversity changes of gut microbiota before and after administration， and species difference analysis was performed. ResultsAll the administered groups could alleviate the inflammatory symptoms of CNP rats， increase the expression levels of anti-inflammatory factors and decrease the expression levels of pro-inflammatory factors， with the most sIgnificant effect observed in the Zishen Tongguan formula group. Compared with the normal group， the expression levels of interleukin（IL）-8， hypersensitive C-reactive protein（hs-CRP）， immunoglobulin（Ig）M， secretory IgA （sIgA）， and inducible nitric oxide synthase（iNOS） were sIgnificantly increased in the model group（P<0.01）. Compared with the model group， the expression levels of the above inflammatory factors in all administered groups were significantly reduced（P<0.01）. When compared with the PCC-AR group， the Zishen Tongguan formula group showed a significant decrease in transforming growth factor（TGF）-β₁ expression level（P<0.05） and a significant increase in IgM expression level（P<0.01）. The results of gut microbiota analysis showed that， compared with the PCC-AR group， at the order level， the Zishen Tongguan formula group significantly reduced the relative abundance of conditional pathogens such as Bacteroidales， Acidaminococcales， Rhodospirillales， Clostridiales， and Elusimicrobiales（P<0.01）. And at the genus level， the Zishen Tongguan formula group significantly decreased the relative abundance of pathogenic microbiota such as Lachnospira and Bacteroides（P<0.01） and significantly increased the relative abundances of beneficial microbiota such as Ruminococcus and Lactobacillus（P<0.01）. ConclusionZishen Tongguan formula can reduce the level of harmful intestinal bacteria， increase the level of beneficial intestinal bacteria， down-regulate the expression of serum inflammatory factors， and the small amount of Cinnamomi Cortex in the formula may play a key role in the treatment of CNP with this formula.

[Objective] To analyse the distribution of antigen phenotypes in the Rh, MNS and Kidd blood group systems of Han and Tujia blood donors in Chongqing, and to provide data support for the establishment of an expanded blood group antigen phenotype database and the development of expanded blood group coordinated transfusion in blood donors. [Methods] The antigens of Rh, MNS and Kidd blood group systems in Han and Tujia blood donors in Chongqing were detected by test-tube method, and the Hardy-Weinborg anastomosis of the three blood group systems was calculated. Pearson's chi-square test and Fisher's exact probability method were used to compare the differences in phenotypic distribution frequencies among different regions and ethnic groups. [Results] Han and Tujia blood donors accounted for the highest proportion of CCee in the antigenic phenotype of the Rh blood group system, followed by CcEe, and then Ccee and ccEE. Tujia blood donors accounted for 52.02% of CCee, which was higher than that of Han blood donors (47.24%), while Han blood donors accounted for 32.20% of CcEe, which was higher than that of Tujia blood donors (28.94%). In the antigenic phenotype of the MNS blood group system, the blood donors of Han nationality and Tujia were MN>MM>NN,. The antigen phenotype distribution frequency of the Kidd blood group system was highest for Jk(a+b+) among both Han and Tujia blood donors, and the blood donors of Han nationality were Jk(a+b+)>Jk(a+b+), while those of Tujia were Jk(a-b+)>Jk(a+b-). The antigens of the three blood groups of Han and Tujia blood donors were consistent with the Hardy-Weinberg balance(P>0.05). There was no statistically significant difference in the frequency of antigen phenotypes of the three blood group systems between Han and Tujia blood donors(P>0.05). There were statistically significant differences in the phenotypic distribution frequency of Rh antigens between Chongqing and Xi'an, Zhejiang, Shantou, Foshan, Nanning and Yangzhou(P<0.05), but not with Guang'an and Shenzhen(P>0.05). There were statistically significant differences in the phenotypic distribution frequency of Rh antigens between Han, Tujia, Zang, Mongolian, Korean and Hani ethnic groups in Chongqing(P<0.05). There were statistically significant differences in the phenotypic distribution frequency of MNS antigens between Han blood donors in Chongqing and Urumqi, Hainan and Yuncheng, but not with Xi'an and Wenzhou. There was a statistically significant difference in the phenotypic distribution frequency of MNS antigen between Tujia blood donors in Chongqing and Urumqi and Hainan(P<0.05), but there was no significant difference in the phenotypic distribution frequency of MNS antigen between Tujia blood donors in Chongqing, Urumqi and Hainan(P>0.05). There was a statistically significant difference in the phenotypic distribution frequency of Kidd antigens between blood donors in Chongqing and Harbin(P<0.05), but not in Huizhou, Wenzhou and Yichang(P>0.05). [Conclusion] The population in Chongqing has multi-ethnic characteristics, and the antigenic phenotypes of Rh, MNS and Kidd blood group systems exhibit diversity and regional differences. Establishing an expanded blood bank can provide more options for precision blood transfusion.