BACKGROUND/OBJECTIVES: Deoxyshikonin (DSK) has been reported to inhibit tumor growth in various types of cancers, but its roles and action mechanisms in breast cancer (BC) are unclear. This study examined the anti-cancer function and mechanism of DSK in BC.MATERIALS/METHODS: MDA-MB-231 and BT549, human BC cells, were used. The cell viability and apoptosis levels were examined using Cell Counting Kit-8 experiments and flow cytometry, respectively. The expression of apoptosis-related factors (Ki-67, Bax, and Bcl-2), CD206, CD168, and proteins involved in the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)uclear factor (NF)-κB pathway was evaluated by Western blot analysis. The cell invasion ability was determined using the Transwell experiment. The levels of interleukin (IL)-10 and transforming growth factor (TGF)-β were detected using an enzyme-linked immunosorbent assay. The in vivo functions of DSK were assessed using a xenograft mouse model. RESULTS: DSK inhibited cell proliferation, enhanced cell apoptosis, and reduced the cell invasion of MDA-MB-231 and BT549 cells. DSK also reduced the levels of CD206 and CD168 proteins, as well as IL-10 and TGF-β in phorbol 12-myristate 13-acetate-induced THP-1 cells.DSK downregulated the expression of the phosphorylated (p)-PI3K, p-AKT, and p-NF-κB proteins in cells. These effects were reversed by 740 Y-P (PI3K/AKT activator). In addition, DSK significantly reduced the tumor volume and weight in a xenograft mouse model. DSK increased the level of cell apoptosis and decreased the expression of Ki-67 and CD206 in subcutaneous tumor tissue. DSK also inactivated the PI3K/AKT/NF-κB pathway proteins. CONCLUSION DSK inhibits the proliferation, invasion, and tumor immune microenvironment of BC cells by inactivating the PI3K/AKT/NF-κB pathway, indicating that DSK may be a potential therapeutic option for BC treatment.

This review analyzes the application status and pros-pect of big data and artificial intelligence technology in the field of pharmacology in recent years.Big data and artificial intelli-gence technology is the inevitable result of the information age,which not only promotes the development of biomedicine,but al-so opens up new ways for the development of pharmacology.Mo-reover,artificial intelligence(AI)is a multifaceted and evolving field applied to pharmaceutical R&D,health management,and new drug R&D.Consequently,this review discusses the applica-tion of artificial intelligence in pharmacology at different stages,discusses the existing shortcomings,and finally makes an out-look.

Objective To evaluate the quality of ketoconazole lotion produced by different domestic companies.Methods Legal standards and exploratory research were used to conduct a comprehensive evaluation of 45 batches(40 batch numbers)of ketoconazole lotion for national drug sampling inspection in 2024,including related substances,antioxidant content,packaging oxygen permeability,in vitro permeation test,and viscosity,antibacterial efficacy,irritation,microstructure,etc.Results The legal standard inspection pass rate was 100.0%.Correlation analysis found that the main factors affecting the quality of this product are prescription technology and packaging.Conclusion It is recommended that manufacturers optimize the prescription process as soon as possible,and pay attention to choose suitable packaging materials,effectively improve the quality of ketoconazole lotion.

Objective To establish the HPLC analysis method for ketoconazole related substances,and to provide technical support for the improvement of the quality standard and the purity of ketoconazole.Methods Gradient elution conditions were optimized based on the chromatographic parameters outlined in the 2024"British Pharmacopoeia"for ketoconazole cream.A C18 column(4.6 mm×150 mm,3 μm)was used to facilitate the elution process using a gradient of acetonitrile and acetate buffer,and detection performed at a wavelength of 230 nm.Results The known impurities and potentially genotoxic impurities in the material drugs of ketoconazole can be more effectively separated using the established methods,which are both robust and highly sensitive.The content of the two potentially geno toxic impurities,six known impurities and unknown impurities in the 21 batches of ketoconazole sourced from five raw material pharmaceutical companies is below the specified limit requirements.Conclusion This method contributes to improving the quality of ketoconazole ingredients,ensuring the safety of ketoconazole preparations,and better supporting the regulatory supervision.

Objective To explore the relationship between the head injury criterion(HIC)values in anterior-posterior(AP)collisions and lateral-medial(LM)collisions.Methods A total of 102 male SD rats were randomly divided into a control group of 0 m(6 rats),4 AP groups(12 rats/group)and 4 LM groups(12 rats/group).After adaptive training,the classical Marmarou model was used to execute the brain AP and LM collisions under a series of different height impacts,and the HIC values were calculated.The experimental group data of the walk-pole test and grip strength test were collected at 24 hours before and after injury,and the data of the proportion of hemorrhage in the corpus callosum and pyramidal tracts were collected at 24 hours after injury.Results As the collision heights increased in both AP and LM groups,there were positive correlations with changes in WP test time and peak GS,and corresponding increases in the proportion of hemorrhage in the cc and py.According to the mathematical relationships between the comprehensive injury degrees and HIC values,it was found that at the same injury degree,LM-HIC value was less than AP-HIC value.A mathematical relationship between AP-HIC and LM-HIC was fitted based on the comprehensive injury degrees.At the same HIC,LM group experienced more severe injuries,and AP group was more tolerant to head collision.Conclusion The injury severity in LM group is greater than that of AP group at the same HIC.Preliminary results show there is a linear mathematical relationship between AP-HIC and LM-HIC.These results can be expected to expand the application scope of HIC and achieve an accurate assessment of the LM collision severity.

AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

Aim To systematically investigate the ac-tive components,targets,and regulatory pathways of Po-lygonum capitatum in intervening atherosclerosis(AS)through network pharmacology,molecular docking and animal experiments.Methods Active components of Polygonum capitatum and AS-related targets were screened and identified through database searches.Protein-protein interaction(PPI)network analysis was performed using the STRING database,followed by GO and KEGG enrichment analyses via the David plat-form.Molecular docking validation was conducted with AutoDock.An AS model was established in Syrian golden hamsters fed a high-fat diet.Predicted pathways and targets were validated using qPCR,ELISA,and histopathological assessment of aortic and hepatic tis-sues via HE staining.Results Network pharmacology identified 27 potential active components of Polygonum capitatum(primarily flavonoids such as quercetin and luteolin)and 110 drug-disease intersection targets,in-cluding core targets MMP-9,ALB,and AKT1.GO and KEGG analyses enriched 593 and 125 pathways,re-spectively,with the NF-κB inflammatory pathway,TNF signaling pathway and lipid metabolism/atherosclerosis pathways highlighted as key mechanisms.Animal ex-periments demonstrated that Polygonum capitatum im-proved serum lipid profiles(reduced TC,TG,LDL-C)in AS hamsters,suppressed the MMP-9/NF-κB signa-ling pathway(downregulated MMP-9,p65 phosphoryla-tion,TNF-α,and IL-6),and inhibited VSMC synthetic phenotypic transformation(upregulated α-SMA and myocardin)by downregulating MCPIP1.Additionally,Polygonum capitatum ameliorated aortic lesions and he-patic lipid deposition in AS hamsters.Conclusions Polygonum capitatum alleviates AS by synergistically regulating the MMP-9/NF-κB/MCPIP1 axis through flavonoid components,suppressing vascular inflammato-ry cascades and maintaining VSMC contractile pheno-types.This reflects Polygonum capitatum's multi-com-ponent,multi-pathway,and multi-target characteristics in combating AS.

Objective:To explore the characteristics of systemic immune microenvironment during the progression of dextran sulfate sodium(DSS)-induced acute ulcerative colitis(UC)induced in mice by Mass cytometry(CyTOF).Methods:Male C57BL/6 mice were randomly divided into control group and model group.The control group was given normal drinking water for 15 d.The mouse in the model group were given 5%DSS in drinking water,which was changed to normal drinking water after 7 days.In the model group,peripheral blood was collected on days 4,9 and 15,respectively.CyTOF was used to detect the expressions of 33 immune cell markers and changes in cell subsets in peripheral blood of mice,and the characteristics of systemic immune microenvironment in mice with acute UC were analyzed.Results:The cluster analysis of 33 kinds of immune cell markers showed that CD45+cells in peripheral blood of mice with DSS induced acute UC were divided into 23 fine subgroups,among which the proportions of B cell subgroup,T cell subgroup and neutrophil subgroup showed significant changes.A further dimensional reduction cluster analysis of T cell subsets found significant differences in the composition and proportion of the 10 identified T cell subsets.Conclusion:The systemic immune micro-environment map of mice with acute UC induced by DSS has been successfully constructed,and heterogeneity has been found in the systemic immune microenvironment of mice with acute UC.The changes and activation degree of T cell subpopulations are closely re-lated to disease progression and inflammation level.The results of this study provide theoretical basis for assisting the diagnosis,moni-toring the risk,progression,treatment and prognosis of acute UC.

AIM:To investigate the therapeutic effects and potential mechanism of pachymic acid(PA)on li-popolysaccharide(LPS)-induced acute kidney injury(AKI)in mice.METHODS:(1)Genes related to AKI were screened using the DAVID database.Core genes were identified by intersecting related genes and analyzed using Cyto-scape software.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)analyses were performed through the DAVID database for the cross-targets.Molecular docking and activity assays were conducted on the primary core targets.(2)A total of 100 C57BL/6J mice were randomly divided into five groups:normal control(NC),model(LPS),solvent control(LPS+DMSO),and treatment groups(LPS+PA-10 and LPS+PA-20),with 20 mice in each group.The LPS-AKI model was established by intraperitoneal injection of 18 mg/kg LPS.The treatment groups received 10 mg/kg and 20 mg/kg PA,respectively,and the solvent control group was administered an equivalent dose of DMSO.Mice were euthanized 24 h after injection.Serum was collected for biochemical analysis,and Western blot was used to detect neutro-phil gelatinase-associated lipocalin(NGAL),kidney injury molecule-1(KIM-1),caspase-3,cleaved caspase-3,interleu-kin-1β(IL-1β),and monocyte chemoattractant protein-1(MCP-1)protein expression.RT-qPCR was employed to detect inflammatory factor mRNA levels.Molecular docking was used to simulate the optimal binding site of PA to caspase-3.En-zyme activity assays were performed to assess caspase protein activity,and renal lesions were observed via hematoxylin and eosin(HE)staining.Apoptosis was detected by TUNEL staining.RESULTS:(1)Thirty-one potential targets of PA against AKI were identified through network pharmacology.GO and KEGG enrichment analyses indicated that these tar-gets were primarily involved in immune response,inflammatory processes,apoptosis and survival,angiogenesis and hemo-dynamics,oxidative stress,and endoplasmic reticulum stress.Key targets included CASP3(caspase-3),PTGS2,BCL2,CCL2,and CYP219.(2)PA treatment improved renal function and reduced tubular epithelial injury.It significantly de-creased NGAL,KIM-1,and cleaved caspase-3 protein levels,as well as inflammatory factors TNF-α,IL-1β,and MCP-1 mRNA and protein expression.PA also reduced apoptosis of renal tubular epithelial cells.Enzyme activity assays and mo-lecular docking revealed that PA exerted its anti-apoptotic effect by directly binding to caspase-3,thereby inhibiting its ac-tivation by caspase-8.CONCLUSION:PA demonstrated a therapeutic effect in LPS-AKI,potentially through the inhibi-tion of inflammatory factor synthesis and release,as well as the inhibition of caspase-3 activation by caspase-8,reducing apoptosis in renal tubular epithelial cells.

Objective:To investigate the iodine nutrition status of children aged 8 - 10 and pregnant women in Xining City, Qinghai Province.Methods:From 2019 to 2021, a stratified cluster sampling method was used to divide 7 counties (districts) under the jurisdiction of Xining City, Qinghai Province into 5 sampling areas according to east, west, south, north, and center each year. One township (town, street) was selected from each area. Forty non boarding students aged 8 to 10 from each primary school (half male and half female, age balanced) and 20 pregnant women from each township (town, street) location were selected to collect edible salt samples at home and a random urine sample to measure salt iodine and urinary iodine level. B-ultrasound was used to measure thyroid volume in children and the goiter rate was calculated.Results:A total of 6 534 samples of household edible salt were collected from children and pregnant women, with an average salt iodine concentration of 25.58 mg/kg. The coverage rate of iodized salt was 97.50% (6 371/6 534), and the qualified iodized salt consumption rate was 89.46% (5 845/6 534). A total of 4 362 urine samples were collected from children, with a median urinary iodine level of 183.10 μg/L. The difference between different years was statistically significant ( H = 20.27, P < 0.001). A total of 2 169 urine samples were collected from pregnant women, with a median urinary iodine level of 168.90 μg/L. The difference between different years was statistically significant ( H = 107.09, P < 0.001). A total of 3 336 cases of thyroid gland examination were conducted in children, including 33 cases of thyroid enlargement, with a goiter rate of 0.99%. There was a statistically significant difference between different years (χ 2 = 15.00, P < 0.001). Conclusion:From 2019 to 2021, children aged 8 to 10 and pregnant women in Xining City are at an appropriate level of iodine, and the achievements in prevention and treatment of iodine deficiency disorders still need to be continuously consolidated.