ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure （HF）， providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine （TCM）. MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats， which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group， with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry （UPLC-TQ-S）， and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging （AFADESI-MSI）. Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus （GEO）， a protein-protein interaction （PPI） network was constructed， and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway and Gene Ontology （GO） was performed. Finally， molecular docking was conducted to verify the binding between core metabolic components and key targets， and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group， the levels of arginine and citrulline in the serum of model rats were significantly decreased （P<0.01）， while those of proline， ornithine， creatine， creatinine and glutamate were significantly increased （P<0.05， P<0.01）. Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets， such as the angiotensin-converting enzyme （ACE）， neuronal nitric oxide synthase （NOS1）， 5-hydroxytryptamine receptor 2A （HTR2A）， and epidermal growth factor receptor （EGFR）， and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway， neuroactive ligand-receptor interactions， and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine， citrulline and HTR2A， as well as between creatine， creatinine and EGFR. Based on pathway-target prediction， potential TCM interventions， such as ginseng and magnolia， were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF， and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways， and offers valuable insights for targeted therapy of HF and the development of TCM.

ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure （HF）， providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine （TCM）. MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats， which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group， with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry （UPLC-TQ-S）， and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging （AFADESI-MSI）. Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus （GEO）， a protein-protein interaction （PPI） network was constructed， and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway and Gene Ontology （GO） was performed. Finally， molecular docking was conducted to verify the binding between core metabolic components and key targets， and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group， the levels of arginine and citrulline in the serum of model rats were significantly decreased （P<0.01）， while those of proline， ornithine， creatine， creatinine and glutamate were significantly increased （P<0.05， P<0.01）. Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets， such as the angiotensin-converting enzyme （ACE）， neuronal nitric oxide synthase （NOS1）， 5-hydroxytryptamine receptor 2A （HTR2A）， and epidermal growth factor receptor （EGFR）， and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway， neuroactive ligand-receptor interactions， and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine， citrulline and HTR2A， as well as between creatine， creatinine and EGFR. Based on pathway-target prediction， potential TCM interventions， such as ginseng and magnolia， were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF， and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways， and offers valuable insights for targeted therapy of HF and the development of TCM.

The core pathogenesis of attention deficit hyperactivity disorder （ADHD） lies in deficiency， stasis and stagnation. Deficiency arises from kidney essence depletion and spleen dysfunction in transportation and transformation， leading to inadequate nourishment of the marrow sea. Stasis caused by qi deficiency leads to obstruction in channels and collaterals， resulting in obstructed marrow transport. Stagnation is associated with the excess of the five minds transforming into fire， which scorches the brain orifices and leads to loss of control over marrow utilisation. Based on this， a "supplementation-unblocking-regulation" therapeutic approach is proposed. For deficiency， the focus is on supplementing kidney and fortifying spleen， and replenishing the marrow sea. For stasis， the priority is to unblock and open the orifices， and clear the marrow channels. For stagnation， the core is to clear fire and contain the mind， regulate and restore vital activity. In clinical practice， it is necessary to identify the primary and secondary pathogenic mechanisms and apply dynamic， combined treatment， integrating Chinese herbal medicine， acupuncture， and guiding exercises throughout the process， aiming to provide a reference for the diagnosis and treatment of ADHD with traditional Chinese medical.

Background Fine particulate matter (PM_2.5) monitoring stations may generate missing data for a certain period of time due to various factors. This data loss will adversely affect air quality assessment and pollution control decision-making. Objective To propose an inverse distance weighted (IDW) spatiotemporal interpolation method based on particle swarm optimization (PSO) to interpolate and fill missing PM_2.5 spatiotemporal sequence data and increase interpolation accuracy. Methods An interpolation experiment was designed into two parts. The first part used hourly PM_2.5 observational data from four moments on January 1, 2017 in the Yangtze River Delta region. The second part employed daily PM_2.5 observational data from the first 10 d of January 2017 in the Beijing-Tianjin-Hebei region. Interpolation accuracy was evaluated using four metrics: root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and mean relative error (MRE). Results IDW spatiotemporal interpolation method optimized with PSO significantly improved the accuracy of filling missing PM_2.5 spatiotemporal sequence data. In the hourly-scale experiment conducted in the Yangtze River Delta region, compared to a distance index of 2, the accuracy metrics RMSE, MAE, MAPE, and MRE generated by the proposed method improved on average by 0.17 μg·m⁻³, 0.27 μg·m⁻³, 0.17%, and 0.01%, respectively. The PM_2.5 spatial field maps generated for four moments based on this method clearly illustrated the spatiotemporal distribution characteristics of hourly PM_2.5 concentrations in the Yangtze River Delta region. In the daily-scale experiment conducted in the Beijing-Tianjin-Hebei region, the PSO-optimized distance index outperformed the traditional method, with interpolation accuracy improvements of approximately 0.215 μg·m⁻³, 0.283 μg·m⁻³, 0.174%, and 0.014%, respectively. Furthermore, the seasonal PM_2.5 spatial field maps generated by this method revealed the spatiotemporal distribution characteristics of PM_2.5 concentrations in the Beijing-Tianjin-Hebei region across different seasons, further validating the effectiveness and applicability of this method. Conclusion The IDW spatiotemporal interpolation method optimized with PSO is highly accurate and reliable for interpolating the missing data in the Yangtze River Delta region and the Beijing-Tianjin-Hebei region, providing valuable insights for air pollution control and public health protection.

Malnutrition is one of the main complications for gastric cancer patients, with an incidence rate as high as 65% to 85%, severely affecting their quality of life and survival rate. This issue is particularly prominent during out-of-hospital treatment, as patients often lack nutritional knowledge and do not receive continuous nutritional management. Therefore, ensuring that patients continue to receive effective nutritional management after discharge is crucial. This study explored three primary models of nutritional management for gastric cancer patients after discharge: the multidisciplinary team collaboration model, three-level nutritional management model, and the Internet+ model. It also analyzed the shortcomings and challenges these models face in practice, with the aim of providing a reference for clinical work.

Objective:To investigate the molecular mechanism of Xiaoshuantongmai Decoction(XSTMD)targeting JAK2/STAT3 signaling pathway to regulate the function of dendritic cells(DCs)in treatment of deep vein thrombosis(DVT).Methods:After treatment of DVT with XSTMD,expressions of fibrinogen beta chain(FGB)and D-dimer(D2D)protein in plasma of patients with DVT were detected by ELISA,proportion of plasmacytoid dendritic cell(pDC)and conventional dendritic cell(cDC),and expression of HLA-DR protein in peripheral blood mononuclear cells(PBMCs)of patients with DVT were detected by flow cytometry,expressions of CD80 and CD86 mRNA were detected by qRT-PCR,Western blot was used to detect protein levels of JAK2,STAT3 and phosphory-lation(p-JAK2 and p-STAT3)in PBMC of DVT patients and mice.LPS-induced mouse DC2.4 cells were treated with XSTMD drug-containing serum.Western blot was used to determine the protein levels of JAK2,STAT3,p-JAK2 and p-STAT3.ELISA was used to detect protein levels of IL-6,TNF-α,IL-10 and TGF-β1 in cell culture supernatant.Results:After treatment with XSTMD,weight and length of thrombus were significantly reduced in mice with DVT(P<0.001).Compared with before treatment,expressions of FGB and D2D were significantly decreased in plasma of DVT patients(P<0.001),proportion of pDC was significantly increased,while pro-portion of cDC was significantly decreased in PBMC of DVT patients(P<0.01),expression of HLA-DR protein and mRNA levels of CD80 and CD86 were significantly decreased in PBMC of DVT patients(P<0.05,P<0.01,P<0.001)after treatment with XSTMD.Levels of p-JAK2 and p-STAT3 protein were significantly increased in PBMC from DVT patients and mice treated with XSTMD(P<0.05).After treatment with serum containing XSTMD,protein levels of p-JAK2 and p-STAT3 induced by LPS were significantly increased in murine DC2.4 cells(P<0.05).Protein expressions of IL-6 and TNF-α were significantly decreased,while protein expressions of IL-10 and TGF-β1 were significantly increased in cell supernatant(P<0.01,P<0.001).Conclusion:XSTMD effectively treats DVT by pre-cisely regulating the JAK2/STAT3 signaling pathway to promote the differentiation of DCs into pDC and alleviate inflammatory injury.

Malnutrition is one of the main complications for gastric cancer patients, with an incidence rate as high as 65% to 85%, severely affecting their quality of life and survival rate. This issue is particularly prominent during out-of-hospital treatment, as patients often lack nutritional knowledge and do not receive continuous nutritional management. Therefore, ensuring that patients continue to receive effective nutritional management after discharge is crucial. This study explored three primary models of nutritional management for gastric cancer patients after discharge: the multidisciplinary team collaboration model, three-level nutritional management model, and the Internet+ model. It also analyzed the shortcomings and challenges these models face in practice, with the aim of providing a reference for clinical work.

Objective:To investigate the molecular mechanism of Xiaoshuantongmai Decoction(XSTMD)targeting JAK2/STAT3 signaling pathway to regulate the function of dendritic cells(DCs)in treatment of deep vein thrombosis(DVT).Methods:After treatment of DVT with XSTMD,expressions of fibrinogen beta chain(FGB)and D-dimer(D2D)protein in plasma of patients with DVT were detected by ELISA,proportion of plasmacytoid dendritic cell(pDC)and conventional dendritic cell(cDC),and expression of HLA-DR protein in peripheral blood mononuclear cells(PBMCs)of patients with DVT were detected by flow cytometry,expressions of CD80 and CD86 mRNA were detected by qRT-PCR,Western blot was used to detect protein levels of JAK2,STAT3 and phosphory-lation(p-JAK2 and p-STAT3)in PBMC of DVT patients and mice.LPS-induced mouse DC2.4 cells were treated with XSTMD drug-containing serum.Western blot was used to determine the protein levels of JAK2,STAT3,p-JAK2 and p-STAT3.ELISA was used to detect protein levels of IL-6,TNF-α,IL-10 and TGF-β1 in cell culture supernatant.Results:After treatment with XSTMD,weight and length of thrombus were significantly reduced in mice with DVT(P<0.001).Compared with before treatment,expressions of FGB and D2D were significantly decreased in plasma of DVT patients(P<0.001),proportion of pDC was significantly increased,while pro-portion of cDC was significantly decreased in PBMC of DVT patients(P<0.01),expression of HLA-DR protein and mRNA levels of CD80 and CD86 were significantly decreased in PBMC of DVT patients(P<0.05,P<0.01,P<0.001)after treatment with XSTMD.Levels of p-JAK2 and p-STAT3 protein were significantly increased in PBMC from DVT patients and mice treated with XSTMD(P<0.05).After treatment with serum containing XSTMD,protein levels of p-JAK2 and p-STAT3 induced by LPS were significantly increased in murine DC2.4 cells(P<0.05).Protein expressions of IL-6 and TNF-α were significantly decreased,while protein expressions of IL-10 and TGF-β1 were significantly increased in cell supernatant(P<0.01,P<0.001).Conclusion:XSTMD effectively treats DVT by pre-cisely regulating the JAK2/STAT3 signaling pathway to promote the differentiation of DCs into pDC and alleviate inflammatory injury.

This study aims to prepare altrenogest extended-release tablets,evaluate their quality and establish a content determination method.The hydrophilic gel skeleton type,dosage and core thick-ness of altrenogest extended-release tablets were used as the investigating factors,and the release degree of the tablets was used as the investigating index,the prescription process of altrenogest ex-tended-release tablets was optimized by one-factor screening and central combinatorial design re-sponse surface method,and quality evaluation was carried out,the in vitro release model was es-tablished,and a high-performance liquid chromatography(HPLC)assay method was set up for the determination of altrenogest extended-release tablets.The results showed that the optimal pre-scription of altrenogest extended-release tablets was 2％as the main drug,70％as the solubilizer,0.5％as the lubricant,19.1％as the filler,8.4％as the hydrophilic gel skeleton material,and the thickness of the tablets was 3.8 mm.The in vitro drug release conformed to the Higuchi model,and the altrenogest showed a good linear relationship with the R2=0.999 98 in the range of 10-80 mg/L.The optimized process for the extended-release tablets was stable and had a good quality.The extended-release tablets were stable and had significant slow-release effect.The HPLC method is accurate and reliable and can be used for the determination of altrenogest in extended-release tablets.

Albendazole sulfoxide and ivermectin compound pouring agent were prepared with dime-thyl sulfoxide and 1,2-propanediol as solvents.The central composite design response surface method was used to optimize the formula of pouring agent.Franz diffusion cell method was used to investigate the transdermal performance of pouring agent in vitro.The permeation amounts of the two drugs were determined by HPLC.The best formula of pouring agent was ivermectin 0.5％,al-bendazole sulfoxide 5％,dimethyl sulfoxide 52％,propylene glycol 39％,and the rest was 100％anhydrous ethanol.The cumulative permeation amounts of ivermectin and albendazole sulfoxide were up to 20.78 μg/cm2 and 249.02 μg/cm2,respectively.The in vitro release model of the two drugs accords with the first-order kinetic equation.There is a good linear relationship between al-bendazole sulfoxide and ivermectin in the range of 1-100 mg/L and the peak area.The precision and stability RSD of the two methods are less than 2％.The preparation process of albendazole sul-foxide compound pouring agent is simple,stable and easy to pour.The established HPLC method is simple and accurate,and can be used for the determination of albendazole sulfoxide and ivermectin in pouring agent.