Objective To explore the mechanism of Kangliu Zengxiao Jiandu Prescription(KLJD)in enhancing the efficacy of cisplatin chemotherapy in non-small cell lung cancer(NSCLC)through network pharmacology and in vivo/in vitro experiments.Methods Components of KLJD were screened via the TCMSP database to identify active components and potential targets.Lung cancer-related genes were obtained from the GeneCards and OMIM databases.GO and KEGG pathway enrichment analysis was performed on drug-disease intersection targets using the Metascape database;molecular docking was performed between core target proteins and main active components.A Lewis lung cancer mouse model was established,and intervened with KLJD and cisplatin.Organ indexes and tumor inhibition rate were counted,and Western blot and RT-PCR were used to detect the expressions of key pathway target proteins and mRNA;A549 and H1299 cells were intervened with KLJD,and Western blot was used to detect key target protein expressions.Results Network pharmacology identified 74 active components and 20 key targets of KLJD,primarily involved in biological processes such as cell proliferation and inflammatory response,and pathways in cancer and PI3K/AKT signaling pathway;molecular docking revealed stable binding between EGFR and major compounds.Animal experiments demonstrated that,compared with the model group,the KLJD group showed significantly higher tumor inhibition rate(P<0.01)and downregulation of EGFR,AKT and PI3K protein and mRNA expression in tumor tissues(P<0.05).Compared with the cisplatin group,the combination group exhibited significantly enhanced tumor inhibition rate(P<0.01),elevated thymic and splenic indices(P<0.01),and decreased EGFR,PI3K and AKT protein and mRNA expressions(P<0.01).Cell experiments showed that KLJD concentration-dependently inhibited A549 and H1299 cell proliferation(IC50:14.72 mg/mL and 14.68 mg/mL,respectively).Combined with cisplatin,KLJD synergistically down-regulated EGFR PI3K and AKT protein expressions(P<0.01).Conclusion KLJD effectively enhances cisplatin's chemotherapeutic efficacy in NSCLC by inhibiting the EGFR/PI3K/AKT pathway while improving immune organ function.Its mechanism likely involves multi-target regulation,including suppression of tumor proliferation,promotion of apoptosis,and modulation of the immune microenvironment.

Objective This study aims to apply the moving average method of time series analysis to forecast outpatient and emergency department visits at our hospital for 2024.Additionally,we will validate the trend prediction model against actual visit data from January to April 2024,assessing the accuracy of the time series fitting.The insights generated will serve as a sci-entific foundation for the hospital to allocate resources effectively,formulate work plans,and meet annual objectives.Methods We collected data on outpatient and emergency visits from 2020 to 2023(n=16 periods)and employed the four moving average method for time series decomposition.We calculated the adjusted seasonal index values and developed a linear trend prediction model(Y=7 3847+568.08t)that incorporates seasonal factors.We then computed the predicted monthly outpatient emergency visits for 2024 and compared these forecasts with actual values from the first four months of 2024 to test the model's reliability.Results The predicted visits for the first four months of 2024 were 84 396,80 633,88 244,and 84 158 respectively.The rela-tive errors compared to actual figures ranged from 1.13％to 8.81％,with an average relative error of 4.22％.The seasonal indi-ces revealed that the third quarter represents the peak period(104.26％),while the second quarter is the low point(95.91％).Conclusion The moving average seasonal index method effectively captures the seasonal variations in outpatient and emergency department visits,offering high prediction accuracy.This methodology can assist hospitals in dynamically adjusting their schedu-ling and optimizing resource allocation.

With the popularization of computer software technology and the development of hospital informatization,virtu-alization technology-as a key technology supporting IT infrastructure-has seen continuously expanding market demand and ap-plication scenarios.In recent years,domestic virtualization manufacturers have increased investment in independent innovation,achieving breakthroughs in virtualization software and related technologies,along with iterative product updates.This has enabled them to catch up with and surpass foreign virtualization technologies,providing more personalized virtualization products for Chi-nese enterprises.Hospitals operate multiple systems such as HIS databases,Electronic Medical Record Systems(EMRS),Pic-ture Archiving and Communication Systems(PACS),and Laboratory Information Systems(LIS).Migrating these systems from a purely physical machine environment to a virtualization platform,and using CNware virtualization products to manage existing physical resources in the data center,enables the sharing and integration of computing resources such as server resources,storage resources,and memory resources.This improves hardware utilization and software operation efficiency,achieves significant appli-cation results,and continuously enhances the quality of medical informatization services.

Objective This study aims to apply the moving average method of time series analysis to forecast outpatient and emergency department visits at our hospital for 2024.Additionally,we will validate the trend prediction model against actual visit data from January to April 2024,assessing the accuracy of the time series fitting.The insights generated will serve as a sci-entific foundation for the hospital to allocate resources effectively,formulate work plans,and meet annual objectives.Methods We collected data on outpatient and emergency visits from 2020 to 2023(n=16 periods)and employed the four moving average method for time series decomposition.We calculated the adjusted seasonal index values and developed a linear trend prediction model(Y=7 3847+568.08t)that incorporates seasonal factors.We then computed the predicted monthly outpatient emergency visits for 2024 and compared these forecasts with actual values from the first four months of 2024 to test the model's reliability.Results The predicted visits for the first four months of 2024 were 84 396,80 633,88 244,and 84 158 respectively.The rela-tive errors compared to actual figures ranged from 1.13％to 8.81％,with an average relative error of 4.22％.The seasonal indi-ces revealed that the third quarter represents the peak period(104.26％),while the second quarter is the low point(95.91％).Conclusion The moving average seasonal index method effectively captures the seasonal variations in outpatient and emergency department visits,offering high prediction accuracy.This methodology can assist hospitals in dynamically adjusting their schedu-ling and optimizing resource allocation.

With the popularization of computer software technology and the development of hospital informatization,virtu-alization technology-as a key technology supporting IT infrastructure-has seen continuously expanding market demand and ap-plication scenarios.In recent years,domestic virtualization manufacturers have increased investment in independent innovation,achieving breakthroughs in virtualization software and related technologies,along with iterative product updates.This has enabled them to catch up with and surpass foreign virtualization technologies,providing more personalized virtualization products for Chi-nese enterprises.Hospitals operate multiple systems such as HIS databases,Electronic Medical Record Systems(EMRS),Pic-ture Archiving and Communication Systems(PACS),and Laboratory Information Systems(LIS).Migrating these systems from a purely physical machine environment to a virtualization platform,and using CNware virtualization products to manage existing physical resources in the data center,enables the sharing and integration of computing resources such as server resources,storage resources,and memory resources.This improves hardware utilization and software operation efficiency,achieves significant appli-cation results,and continuously enhances the quality of medical informatization services.

Objective To explore the mechanism of Kangliu Zengxiao Jiandu Prescription(KLJD)in enhancing the efficacy of cisplatin chemotherapy in non-small cell lung cancer(NSCLC)through network pharmacology and in vivo/in vitro experiments.Methods Components of KLJD were screened via the TCMSP database to identify active components and potential targets.Lung cancer-related genes were obtained from the GeneCards and OMIM databases.GO and KEGG pathway enrichment analysis was performed on drug-disease intersection targets using the Metascape database;molecular docking was performed between core target proteins and main active components.A Lewis lung cancer mouse model was established,and intervened with KLJD and cisplatin.Organ indexes and tumor inhibition rate were counted,and Western blot and RT-PCR were used to detect the expressions of key pathway target proteins and mRNA;A549 and H1299 cells were intervened with KLJD,and Western blot was used to detect key target protein expressions.Results Network pharmacology identified 74 active components and 20 key targets of KLJD,primarily involved in biological processes such as cell proliferation and inflammatory response,and pathways in cancer and PI3K/AKT signaling pathway;molecular docking revealed stable binding between EGFR and major compounds.Animal experiments demonstrated that,compared with the model group,the KLJD group showed significantly higher tumor inhibition rate(P<0.01)and downregulation of EGFR,AKT and PI3K protein and mRNA expression in tumor tissues(P<0.05).Compared with the cisplatin group,the combination group exhibited significantly enhanced tumor inhibition rate(P<0.01),elevated thymic and splenic indices(P<0.01),and decreased EGFR,PI3K and AKT protein and mRNA expressions(P<0.01).Cell experiments showed that KLJD concentration-dependently inhibited A549 and H1299 cell proliferation(IC50:14.72 mg/mL and 14.68 mg/mL,respectively).Combined with cisplatin,KLJD synergistically down-regulated EGFR PI3K and AKT protein expressions(P<0.01).Conclusion KLJD effectively enhances cisplatin's chemotherapeutic efficacy in NSCLC by inhibiting the EGFR/PI3K/AKT pathway while improving immune organ function.Its mechanism likely involves multi-target regulation,including suppression of tumor proliferation,promotion of apoptosis,and modulation of the immune microenvironment.

Calcium-activated chloride channels(CaCCs)are a class of channel proteins that trans-port chloride ions activated by intracellular calcium,which play a crucial role in regulating membrane potential,intracellular calcium balance,and cell excitability,particularly in neurons and muscle cells.In the Anoctamin(Ano)family,Ano1 is the most classic CaCC.Targeted modulators of Ano1 have poten-tial therapeutic effects against such diseases as cancer,cystic fibrosis,hypertension,diarrhea,and asthma.Since the discovery of Ano1 in 2008,several methods for screening CaCC-specific modulators have emerged including high-throughput primary screening of fluorescent proteins,electrophysiological patch clamp technique and virtual screening,and identification of small molecule modulators with diverse pharmacological effects.This paper summarizes the principles,advantages and disadvantages of the mainstream screening methods,and reviews the chemical structures and potential applications of Ano1-specific modulators discovered to date.

Objective To elucidate the role of circVRK1 and its interaction with miR-4428 in regulating proliferation and apoptosis in acute lymphoblastic leukemia(ALL)cells.Methods KOCL44 ALL cells were cultured in vitro,and experimental groups included pcDNA,pcDNA-circVRK1,anti-miR-NC,anti-miR-4428,si-NC,si-circVRK1,pcDNA-circVRK1+miR-NC,and pcDNA-circVRK1+miR-4428.The expression levels of circVRK1 and miR-4428 were detected using qRT-PCR.CCK-8 assays and flow cytometry were used to assess cell proliferation and apoptosis,respectively.The dual luciferase reporter assays were employed to investigate the interaction between circVRK1 and miR-4428,with groups categorized as WT-circVRK1+miR-NC,WT-circVRK1+miR-4428,MUT-circVRK1+miR-NC,and MUT-circVRK1+miR-4428.Western blotting was utilized to detect the expression levels of Ki-67,cleaved caspase-3,and cleaved caspase-9 proteins.Results Compared to the pcDNA group,circVRK1 expression was up-regulated in the pcDNA-circVRK1 group(P＜0.05).Compared to transfection with pcDNA or anti-miR-NC,transfection with pcDNA-circVRK1 or anti-miR-4428 led to decreased cell viability and Ki-67 protein levels in KOCL44 cells(P＜0.05),and increased apoptosis rates and levels of cleaved caspase-3 and cleaved caspase-9(P＜0.05).circVRK1 was found to negatively regulate miR-4428 expression,with this effect observed only in the WT-circVRK1 group.miR-4428 levels were lower in the pcDNA-circVRK1 group compared to the pcDNA group(P＜0.05)and higher in the si-circVRK1 group compared to the si-NC group(P＜0.05).Co-transfection with pcDNA-circVRK1+miR-4428 resulted in increased cell viability(P＜0.05)and Ki-67 expression(P＜0.05),and decreased apoptosis rates and levels of cleaved caspase-3 and cleaved caspase-9(P＜0.05)compared to co-transfection with pcDNA-circVRK1+miR-NC.Conclusion Overexpression of circVRK1 reduces the proliferation ability of acute ALL cells and induces cell apoptosis by downregulating miR-4428 expression.

ObjectiveTo observe the effect of Feiyanning prescription （FYN） on cisplatin （DDP） resistance in non-small cell lung cancer （NSCLC） and explore the underlying mechanism. MethodCell counting kit-8 （CCK-8） assay was used to detect the proliferation of A549 and A549/DDP （DDP-resistant） cells treated by DDP （0， 2.0， 4.0， 6.0， 8.0， 10.0 mg⋅L^-1） and the proliferation of A549/DDP cells treated by FYN （0， 100， 200， 300， 400， 500， 600 mg⋅L^-1）. Based on immunofluorescence staining and Western blot （WB）， the expression of epithelial mesenchymal transition （EMT）-related proteins in A549 and A549/DDP groups was observed. A549/DDP cells were classified into control group， FYN group （200 mg⋅L^-1）， DDP group （6.0 mg⋅L^-1）， and combination group ［FYN （200 mg⋅L^-1） + DDP （6.0 mg⋅L^-1）］ and respectively treated with corresponding drugs. Then， invasion ability of each group was examined by transwell assay， and the expression of EMT-related proteins in each group by WB. Moreover， real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） and immunofluorescence staining were separately applied to detect the mRNA and protein expression of drug resistance-related factors in each group， respectively. ResultCompared with A549 group， A549/DDP group showed high resistance to DDP （P<0.01）， low expression of E-cadherin， and high protein expression of Vimentin， N-cadherin， and Snail （P<0.05， P<0.01）. As compared with the control group， FYN inhibited the proliferation of A549/DDP cells in a concentration-dependent manner （P<0.01）， and the FYN group， DDP group， and combination group demonstrated low invasion ability （P<0.01）. In addition， the invasion ability in the combination group was particularly lower than that in the DDP group （P<0.01）. The expression of E-cadherin protein was higher and the protein expression of N-cadherin， Vimentin， and Snail was lower in the in FYN group than in the control group （P<0.01）. The protein expression of E-cadherin， N-cadherin， and Vimentin was lower and the expression of Snail was higher in the DDP group than in the control group （P<0.05，P<0.01）. The protein expression of E-cadherin， N-cadherin， Vimentin， and Snail in the combination group decreased as compared with that in the control group （P<0.01）. Compared with the DDP alone， the combination raised the expression of E-cadherin and lowered the protein expression of N-cadherin， Vimentin， and Snail （P<0.01）. The protein and mRNA expression of lung resistance-related protein （LRP） and multidrug resistance 1 （MDR1） was lower and the protein and mRNA expression of topoisomerase Ⅱα （TOPO Ⅱα） was higher in the FYN group than in the control group （P<0.01）. The protein and mRNA expression of LRP， MDR1， and TOPO Ⅱα was higher in the DDP group than in the control group （P<0.01）. The expression of LRP protein and mRNA showed no significant variation， but the protein and mRNA expression of MDR1 and TOPO Ⅱα increased in the combination group compared with those in the control group （P<0.01）. Compared with the DDP group， FYN group and combination group showed low protein and mRNA expression of LRP and MDR1 and high protein and mRNA expression of TOPO Ⅱα （P<0.01）. Compared with FYN， the combination elevated the protein and mRNA expression of LRP， MDR1， and TOPO Ⅱα （P<0.01）. ConclusionFYN prescription can reverse the DDP resistance of NSCLC by modulating EMT.

Health is an essential element to promote social progress and economic development. It is also a symbol of citizen's peaceful work and life with happy and long life, as well as an emblem of national prosperity and national rejuvenation. Public health develops vigorously in our country. Policy Outlines has been successively issued in China, such as Healthy China 2030 and The Thirteenth Five- year Plan Outline of National Economic and Social Development. Under the Healthy China background, as an important guarantee for public health, nursing higher education in China has experienced a long process of development an reform. It meets the change of the era from education scale, teaching philosophy, establishment of specialized direction and teaching model.