Objective:To summarize the current situation and shortcomings of China's health technology innovation policies,and provide reference for policy formulation and improvement.Methods:Text mining was used to sort out 24 policy documents related to health technology innovation issued by the national and provincial levels since the 13th Five Year Plan period.A PMC index evaluation model for health technology innovation policies was established,and a quantitative analysis of health technology innovation policies was conducted through 9 primary indicators and 43 secondary indicators.Results:Among the 24 policies,2 were rated as perfect,8 were rated as excellent,and 14 were rated as acceptable.Conclusions and Suggestions:China's policies on health and medical science and technology innovation have been basically improved.They can be further refined by focusing on core and key technologies,emphasizing clinical research and transformation,and advancing digital and intelligent strategies.

Background and Aims:Colorectal cancer(CRC)has a high incidence and mortality rate,and the effectiveness of current therapies for advanced cases remains limited.Kaempferol,a natural flavonoid compound,exhibits antioxidant,anti-inflammatory,and antitumor properties.This study aimed to elucidate the key molecular targets and underlying mechanisms of kaempferol against CRC through an integrated approach combining network pharmacology and experimental validation.Methods:Potential targets of kaempferol were identified via SwissTargetPrediction,SEA,PharmMapper,and TargetNet databases,and CRC-related targets were retrieved from GeneCards,OMIM,CTD,and DrugBank.The intersection targets were used to construct a compound-target-disease network.Protein-protein interaction(PPI)analysis using the STRING database and Cytoscape software identified core targets,followed by Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.In vitro experiments with human CRC HCT-116 cells evaluated cell proliferation(CCK-8 assay),colony formation,migration(scratch assay),invasion(Transwell assay),and expression of apoptosis-and cell cycle-related proteins(Western blot).Results:A total of 492 kaempferol targets and 5 078 CRC-related targets were obtained,with 269 overlapping targets identified as potential therapeutic candidates.PPI network analysis revealed 53 core targets,including Akt1,HSP90AA1,ESR1,SRC,CASP3,and NFKB1.GO analysis indicated enrichment in cellular stress response,apoptosis regulation,and oxidative stress processes;KEGG pathways were primarily related to chemical carcinogenesis-receptor activation,prolactin,estrogen,and PI3K/Akt signaling.Experimental validation demonstrated that kaempferol markedly inhibited HCT-116 cell proliferation,colony formation,migration,and invasion in a dose-dependent manner(all P<0.05),accompanied by downregulation of Bcl-2 and cyclin D1 and upregulation of Bax(all P<0.05).Conclusion:Kaempferol exerts anti-CRC effects through multi-target and multi-pathway mechanisms,including inhibition of proliferation,migration,and invasion,and induction of apoptosis,potentially via modulation of the PI3K/Akt and estrogen signaling pathways.These findings provide theoretical and experimental evidence supporting kaempferol as a promising candidate for CRC therapy.

AIM:To explore the role and mechanism of calcium-sensing receptor(CaSR)in regulating macro-phage polarization in hypertensive rats.METHODS:Male spontaneously hypertensive rats(SHR)and Wistar-Kyoto(WKY)rats were categorized into WKY group,SHR group,SHR+R568(CaSR agonist)group,and SHR+NPS2143(CaSR inhibitor)group.The thoracic aorta was isolated,and the expression of CaSR and macrophage polarization markers in the aorta was observed through immunofluorescence staining.The primary peritoneal macrophages of SHR and WKY rats were aseptically extracted following anesthesia.After intervention with R568 and NPS2143,the expression levels of M1 and M2 markers of peritoneal macrophages were observed by Western blot and immunofluorescence staining.The levels of interleukin(IL)-1β and IL-10 were measured by ELISA.The concentration of Ca2+in peritoneal macrophages was mea-sured by immunofluorescence.Western blot was employed to identify the expression of CaSR and nucleotide-binding oligo-merization domain-like receptor protein 3(NLRP3)inflammasome components.Following anesthesia,vascular smooth muscle cells(VSMCs)were isolated from SHR using an adherent method.Subsequently,a co-culture system was estab-lished with macrophage supernatant.The optimal action time for this co-culture system was determined through CCK-8 as-say.RESULTS:Compared with SHR group,activation of CaSR resulted in a significant decrease in the protein expres-sion of M1 polarization markers(P<0.05)and a concomitant increase in the protein expression of M2 polarization markers in the aorta(P<0.05).Compared with SHR group,administration of R568 led to a significant decrease in the protein ex-pression of M1 polarization markers(P<0.05)and a concomitant increase in the protein expression of M2 polarization markers(P<0.05)in peritoneal macrophages.Additionally,there was a notable reduction in the protein levels of NLRP3 inflammasome components(P<0.05).Furthermore,the fluorescence intensity of intracellular Ca2+was significantly en-hanced following R568 treatment(P<0.05).After administration of MCC950,an NLRP3 inflammasome inhibitor,the re-sults were consistent with those observed following R568 treatment,demonstrating statistical significance(P<0.05).This effect was reversed by the combined intervention of U73122,a phospholipase C(PLC)inhibitor(P<0.05).Compared with the control(0 h),the 24-h peritoneal macrophage supernatant exhibited the strongest capacity to enhance the viabili-ty of VSMCs after 24 h of culture(P<0.05).CONCLUSION:In hypertensive rats,the CaSR inhibits NLRP3 inflamma-some activation via the PLC-Ca2+signaling pathway,thereby mediating an increase in macrophage polarization towards the M2 phenotype and a decrease towards the M1 phenotype.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

Aim To explore the mechanism of the syn-ergistic effect of the ferroptosis inducer erastin com-bined with shikonin in promoting ferroptosis in human hypertrophic scar fibroblasts(HSFBs).Methods Hypertrophic scar tissues provided by the General Hos-pital of Ningxia Medical University were collected,and HSFBs were extracted.HSFBs were identified by HE staining and immunofluorescence.The inhibitory rates of Era and SHK on HSFBs at different concentrations were detected by CCK-8 assay,and the IC50 value was calculated.CompuSyn software was used to calculate the co-use index(CI).Control group,Erastin(Era)group,shikonin(SHK)group and Era+SHK group were set up,and the number and morphological chan-ges of cells were observed after 24 hours of interven-tion.The ability of cell migration and invasion was de-tected by scratch test and Transwell test.The changes of malondialdehyde(MDA),total iron ion and reactive oxygen species(ROS)were detected by corresponding biochemical kits.The expressions of collagen I,α-SMA and GOT1,SLC7A11,GPX4 and FTH1 were detected by Western blot.Results The IC50 value of Era and SHK of primary HSFBs was 2.22 μmol·L-1 and 3.94μmol·L-1 respectively,which was used as the single drug concentration for subsequent experiments.The CompuSyn software was employed to calculate the CI value when the two drugs were used in combination,and the concentrations corresponding to CI=0.39597(Era:1.2 μmol·L-1+SHK:1.5 μmol·L-1)were selected as subsequent combination concentrations(Because when CI was equal to 0.395 97,the concen-tration of each drug was lower than the concentration of single drug,and the inhibition rate of combined drug was greater than 50％).Compared with the monother-apy group,the number of HSFBs in the SHK+Era group was significantly reduced,cell membrane showed breakage and vesiculation,cell wrinkling became smal-ler,and cytoplasm was concentrated.The migration and invasion ability of HSFBs in the SHK+Era group were obviously weakened(P＜0.05),and the expres-sion of fibrosis-related proteins collagen Ⅰ and α-SMA was reduced(P＜0.05);the contents of MDA,total i-ron ions,and ROS in HSFBs of the SHK+Era group increased(P＜0.05),and the protein expression lev-els of SLC7A11,GOT1,GPX4,and FTH1 further de-creased(P＜0.05).Conclusions Erastin in combi-nation with shikonin can synergistically inhibit the pro-liferation,migration and fibrosis levels of HSFBs.The mechanism may be that erastin enhances the inhibition of shikotin on GOT1,increases the levels of cellular i-ron ions,ROS,and lipid peroxides,thereby promoting ferroptosis in HSFBs.

Objective:To explore the structural relationship between WMSDs in the upper limbs and various risk factors in the occupational population in China, based on a large sample epidemiological survey and structural equation analysis, and to establish a structural equation model, so as to lay a foundation for the prevention and control of such diseases.Methods:The Chinese version of the Musculoskeletal Disorders Electronic Questionnaire was used to conduct a nationwide survey on the prevalence of WMSDs in the upper extremity. Six factors related to WMSDs in the upper extremity were extracted by the classification standard of adverse ergonomic factors and their source and confirmatory factor analysis, including work organization, work type, upper extremity work posture, individual factors, upper extremity fatigue and upper extremity WMSDs. The structural equation analysis was carried out and the structural equation model was established.Results:The incidence of WMSDs and fatigue in the upper limbs was 24.44% and 43.76%, respectively. The adjusted structural equation model fitting indicators were generally up to the standard (GFI=1.000, AGFI=1.000, RMSEA=0.043, NFI=0.808, TLI=0.784) . The four exogenous latent variables of work organization, work type, upper limb work posture and individual factors were correlated. There was a strong positive correlation between job type and upper limb work posture ( r=0.865) , a moderate positive correlation between work organization and job type and upper limb work posture ( r=0.570, 0.490) , and a weak negative correlation between individual factors and the other three exogenous latent variables. Upper limb work posture and individual factors had direct effects on upper limb WMSDs, and the effect coefficients were 0.10 and 0.06, respectively. Upper limb fatigue played a mediating role between work organization, work type, upper limb work posture and upper limb WMSDs. The effect coefficient was 0.46, and the composition ratios of indirect effects were 100.0%, 100.0%, and 38.3%, respectively. The direct path effect of upper limb work posture, individual factors and upper limb WMSDs was weaker than the mediating path through upper limb fatigue. Conclusion:When carrying out the prevention and control of upper limbWMSDs, it is necessary to comprehensively consider the pathogenesis path of upper limb muscle fatigue and upper limb WMSDs caused by work organization, work type, and upper limb work posture, so as to provide theoretical reference for improving the prevention and control level of such diseases.

Objective To investigate the effects of Sini Powder on serum hypothalamic-pituitary-adrenal(HPA)axis-related hormones and inflammatory factors in liver cancer mice with comorbid depression,and to evaluate its effect on depressive behavior and tumor proliferation activity.Methods Forty-eight specific pathogen-free female C57BL/6 mice were randomly assigned to either a blank(n=8)or model group(n=40).The modeling group was subjected to chronic unpredictable mild stress(CUMS)for six weeks.Both groups underwent orthotopically transplanted liver tumor surgery at the end of the fourth week of CUMS treatment.At the end of the sixth week of CUMS treatment,color Doppler ultrasonography was used to observe tumor formation in the orthotopic transplantation liver tumors,and the tail suspension test was used to assess depressive behavior.Non-tumor-bearing and deceased mice were excluded.The remaining model group mice were stratified by tail suspension immobility time and randomly assigned to the following groups:model group(distilled water),Fluoxetine group(5.0 mg/kg),and Sini Powder low-dose,medium-dose,and high-dose groups(5.2,10.4,and 20.8 g/kg,respectively),with six mice per group.The treatments were administered once daily for 21 consecutive days.After treatment,depressive behaviors were assessed using the open field,tail suspension,and forced swimming tests.The proliferation status of the orthotopic liver transplantation tumor was evaluated by measuring the size of the tumor,observing pathological changes in the tumor tissue through hematoxylin and eosin staining,and detecting the positive cell rate of proliferating cell nuclear antigen(Ki-67)in the tumor tissue using immunohistochemistry.The levels of HPA axis-related hormones in serum,such as corticotropin-releasing hormone(CRH),adrenocorticotropic hormone(ACTH),corticosterone(CORT),as well as inflammatory factors such as tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),and interleukin-6(IL-6)were measured using an enzyme-linked immunosorbent assay.Western blotting was used to assess mitogen-activated protein kinase(MAPKs)phosphorylation and the expression of nuclear factor-κB(NF-κB),NOD-like receptor family pyrin domain-containing receptor 3(NLRP3),and cysteine aspartic protease-1(Caspase-1)in orthotopic tumors.Results Compared with the blank group,the model group showed reduced total distance traveled in open field test,prolonged immobility times in the tail suspension and forced swimming tests(P<0.05,P<0.01),indicating successful establishment of the liver cancer with comorbid depression mice model.Also,the model group showed increased orthotopic tumor volume(P<0.01),and elevated serum CRH,ACTH,CORT,TNF-α,IL-1β,and IL-6 levels(P<0.01).The phosphorylation of MAPKs in tumor tissues was suppressed(P<0.01),while NF-κB,NLRP3,and Caspase-1 expression levels were downregulated(P<0.01).Compared with the model group,Sini Powder medium-and high-dose groups exhibited increased total distance traveled in the open field test(P<0.05),reduced forced swimming test and prolonged total distance traveled in open field test(P<0.01),while Sini Powder high-dose group showed reduced immobility times in the tail suspension test(P<0.05).Also,Sini Powder low-dose,medium-dose,and high-dose groups showed slower tumor growth,histological changes,including vacuolization and necrosis,decreased Ki-67 positive cell rate(P<0.01),and reduced serum CRH,ACTH,CORT,TNF-α,IL-1β,and IL-6 levels(P<0.05).Additionally,the phosphorylation of MAPKs in tumor tissues was suppressed(P<0.01),and NF-κB,NLRP3,and caspase-1 expression levels were downregulated(P<0.01).Conclusion Sini Powder may alleviate depressive behaviors and suppress tumor proliferation activity in liver cancer mice with comorbid depression by modulating MAPKs activation,inhibiting NF-κB,NLRP3,and Caspase-1 expressions,and reducing serum inflammatory factors and HPA axis-related hormones levels.

OBJECTIVE: To reveal the molecular basis of knee osteoarthritis (KOA) with Yang deficiency and blood stasis syndrome by analyzing the gene expression profiles in synovial fluid and blood of KOA patients with this syndrome. METHODS: A total of 80 KOA patients were recruited from October 2022 to June 2024, including 40 cases in the non-Yang deficiency and blood stasis group (27 males and 13 females), with an average age of (61.75±3.45) years old;and 40 cases in the Yang deficiency and blood stasis group (22 males and 18 females), with an average age of (62.00±2.76) years old. The levels of body mass index (BMI), high-density lipoprotein (HDL), low-density lipoprotein (LDL), fibrinogen, total cholesterol, and D-dimer were recorded and summarized. Blood and synovial fluid samples from patients were collected for gene expression profile microarray sequencing, and then PCR and immunohistochemistry were used for clinical verification on the patients' synovial fluid and cartilage samples. RESULTS: Logistic regression analysis showed that compared with KOA patients with non-Yang deficiency and blood stasis syndrome, those with Yang deficiency and blood stasis syndrome had increased BMI, LDL, fibrinogen, total cholesterol, and D-dimer, and decreased HDL, with a clear correlation between the two groups. There were 562 differential genes in the blood, among which 322 were up-regulated and 240 were down-regulated;755 differential genes were found in the synovial fluid, with 350 up-regulated and 405 down-regulated. KEGG signaling pathway analysis of synovial fluid revealed changes in lipid metabolism-related pathways, including cholesterol metabolism, fatty acid metabolism, and PPARG signaling pathway. Analysis of the involved differential genes identified 6 genes in synovial fluid that were closely related to lipid metabolism, namely LRP1, LPL, ACOT6, TM6SF2, DGKK, and PPARG. Subsequently, PCR and immunohistochemical verification were performed using synovial fluid and cartilage samples, and the results were consistent with those of microarray sequencing. CONCLUSION This study explores the clinical and genomic correlation between traditional Chinese medicine syndromes and knee osteoarthritis from the perspective of lipid metabolism, and proves that abnormal lipid metabolism is closely related to KOA with Yang deficiency and blood stasis syndrome from both clinical and basic aspects.
Humans ; Male ; Female ; Middle Aged ; Synovial Fluid/metabolism* ; Osteoarthritis, Knee/metabolism* ; Yang Deficiency/complications* ; Aged

ObjectiveRecent studies have highlighted the critical role of NUDT19 in the initiation, progression, and prognosis of specific cancer types. However, its involvement in pan-cancer analysis has not been fully characterized. This study aims to systematically explore the expression patterns, clinical significance, and immune-related functions of NUDT19 in various cancer types through multi-omics analysis, further revealing its potential role in cancer, particularly its functional and therapeutic target value in leukemia. MethodsTo achieve this goal, various bioinformatics approaches were employed to evaluate the expression patterns, clinical significance, and immune-related functions of NUDT19 in tumors and normal tissues. Additionally, we analyzed the mutation characteristics of NUDT19 and its relationship with epigenetic modifications. Using the single-cell analysis tool SingleCellBase, we explored the distribution of NUDT19 across different cell subpopulations in tumors. To validate these findings, qRT-PCR was used to measure NUDT19 expression levels in specific tumor cell lines, and we established acute myeloid leukemia (AML) cell lines (HL-60 and THP-1) to conduct NUDT19 knockdown and overexpression experiments, assessing its effects on leukemia cell proliferation, apoptosis, and invasion. ResultsPan-cancer analysis revealed the dysregulated expression of NUDT19 across multiple cancer types, which was closely associated with poor prognosis, clinical staging, and diagnostic markers. Furthermore, NUDT19 was significantly correlated with tumor biomarkers, immune-related genes, and immune cell infiltration in different cancers. Mutation analysis showed that multiple mutations in NUDT19 were significantly associated with epigenetic changes. Single-cell analysis revealed the heterogeneity of NUDT19 expression in cancer cells, suggesting its potentially diverse functional roles in different cell subpopulations. qRT-PCR experiments confirmed the significant upregulation of NUDT19 in various tumor cell lines. In AML cell lines, NUDT19 knockdown led to reduced cell proliferation and invasion, with increased apoptosis, while NUDT19 overexpression significantly enhanced cell proliferation and invasion while reducing apoptosis. ConclusionThis study demonstrates the diverse roles of NUDT19 in various cancer types, with a particularly prominent functional role in leukemia. NUDT19 is not only associated with tumor initiation and progression but may also influence cancer progression through the regulation of immune microenvironment and epigenetic mechanisms. Our research highlights the potential of NUDT19 as a therapeutic target, particularly for targeted therapies in malignancies such as leukemia, with significant clinical application prospects.