ObjectiveTo explore the mechanism by which Qidan Yifei Tongqiao granules （QDYF） alleviate nasal mucosal remodeling in allergic rhinitis （AR） via the interleukin-33 （IL-33）/growth stimulation expressed gene 2 （ST2）/interleukin-1 receptor accessory protein （IL-1RAP） signaling pathway from the perspective of Qi-replenishing and blood-activating therapy. MethodsFirst， according to the previous network pharmacology results， this study predicted the potential mechanisms of QDYF in treating AR by screening key pathways， components， and targets. Molecular docking was performed via AutoDock and PyMOL 2.5.5. Subsequently， a rat model of ovalbumin （OVA）-induced AR was used for validation through in vivo experiments. Forty-eight rats were assigned into 6 groups： Control， model， low-dose QDYF （QDYF-L， 4.04 g·kg^-1）， medium-dose QDYF （QDYF-M， 8.08 g·kg^-1）， high-dose QDYF （QDYF-H， 16.16 g·kg^-1）， and loratadine （0.9 mg·kg^-1）. After 14 days of intervention， behavioral scores of the rats were observed. The morphological changes of nasal mucosa tissue were observed by hematoxylin-eosin （HE） staining. Masson staining was used to observe collagen fiber deposition in the nasal mucosal tissue and to calculate the collagen volume fraction （CVF）. The expression of E-cadherin （E-cad） in the nasal mucosa tissue was detected by immunofluorescence. The serum levels of helper T cell 2 （Th2） cytokines interleukin-4 （IL-4）， interleukin-5 （IL-5）， and interleukin-13 （IL-13） as well as helper T cell 1 （Th1） cytokines interleukin-2 （IL-2） and interferon-γ （INF-γ） were quantified by enzyme-linked immunosorbent assay （ELISA）. The protein levels of transforming growth factor-beta 1 （TGF-β₁）， IL-33， ST2， and IL-1RAP in the nasal mucosa tissue were determined by Western blot. ResultsIL-33， ST2， and IL-1RAP had strong binding ability with the main active ingredients—wogonin， 7-methoxy-2-methylisoflavone， formononetin， naringenin， stigmasterol， and beta-sitosterol of QDYF， with the binding energy < -4.25 kcal⋅mol^-1（1 cal≈4.184 J）. The results of in vivo experiments showed that compared with the control group， the model group exhibited increased behavioral scores （P<0.05）， aggravated pathological damage of nasal mucosa， increased collagen fiber deposition and CVF （P<0.05）， elevated serum levels of IL-4， IL-5， and IL-13， up-regulated protein levels of TGF-β₁， IL-33， ST2， and IL-1RAP in the nasal mucosa （P<0.05）， down-regulated expression of E-cad， and declined serum levels of IL-2， IFN-γ， and IFN-γ/IL-4 ratio （P<0.05）. Compared with the model group， the QDYF groups and loratadine group showed reduced behavioral scores （P<0.05）， alleviated pathological damage of nasal mucosa， reduced collagen fiber deposition and CVF （P<0.05）， and up-regulated E-cad expression （P<0.05）. Compared with the model group， the QDYF-H group and the loratadine group showed raised levels of INF-γ and IFN-γ/IL-4 ratio （P<0.05）， declined serum levels of IL-4， IL-5， and IL-13， and down-regulated protein levels of TGF-β₁， IL-33， ST2， and IL-1RAP in the nasal mucosa （P<0.05）. In addition， the QDYF-H group exhibited an elevated serum IL-2 level （P<0.05）. The QDYF-M group showed down-regulated protein levels of TGF-β₁， IL-33 and IL-1RAP in the nasal mucosa （P<0.05）. The QDYF-L group demonstrated a down-regulated protein level of ST2 in the nasal mucosa （P<0.05）. ConclusionQDYF may regulate the Th1/Th2 balance through the IL-33/ST2/IL-1RAP signaling pathway， thereby ameliorating nasal mucosal tissue remodeling and alleviating AR.

BACKGROUND:Rheumatoid arthritis is a chronic autoimmune disease.Early diagnosis is crucial for preventing disease progression and for effective treatment.Therefore,it is of significance to investigate the diagnostic characteristics and immune cell infiltration of rheumatoid arthritis. OBJECTIVE:Based on the Gene Expression Omnibus(GEO)database,to screen potential diagnostic markers of rheumatoid arthritis using machine learning algorithms and to investigate the relationship between the diagnostic characteristics of rheumatoid arthritis and immune cell infiltration in this pathology. METHODS:The gene expression datasets of synovial tissues related to rheumatoid arthritis were obtained from the GEO database.The data sets were merged using a batch effect removal method.Differential expression analysis and functional correlation analysis of genes were performed using R software.Bioinformatics analysis and three machine learning algorithms were used for the extraction of disease signature genes,and key genes related to rheumatoid arthritis were screened.Furthermore,we analyzed immune cell infiltration on all differentially expressed genes to examine the inflammatory state of rheumatoid arthritis and investigate the correlation between their diagnostic characteristics and infiltrating immune cells. RESULTS AND CONCLUSION:In both rheumatoid arthritis and normal synovial tissues,we identified 179 differentially expressed genes,with 124 genes up-regulated and 55 genes down-regulated.Enrichment analysis revealed a significant correlation between rheumatoid arthritis and immune response.Three machine learning algorithms identified LRRC15 and MICB as potential biomarkers of rheumatoid arthritis.LRRC15(area under the curve=0.964,95%confidence interval:0.924-0.992)and MICB(area under the curve=0.961,95%confidence interval:0.923-0.990)demonstrated strong diagnostic performance on the validation dataset.The infiltration of 13 types of immune cells was altered,with macrophages being the most affected.In rheumatoid arthritis,the majority of proinflammatory pathways in immune cell function were activated.Immunocorrelation analysis revealed that LRRC15 and MICB had the strongest correlation with M1 macrophages.To conclude,this study identified LRRC15 and MICB as potential diagnostic markers for rheumatoid arthritis,with strong diagnostic performance and significant correlation with immune cell infiltration.Machine learning and bioinformatics analysis deepened the understanding of immune infiltration in rheumatoid arthritis and provided new ideas for the diagnosis and treatment of rheumatoid arthritis.

BACKGROUND:Titanium implants are widely used in clinical practice because of their high strength and good biocompatibility.However,during implantation,bacterial infection and tissue damage environment produce a large number of reactive oxygen species,which can easily lead to delayed tissue healing and surgical failure.Consequently,the development of titanium implants with antimicrobial and antioxidant properties becomes paramount. OBJECTIVE:Considering the potent antimicrobial attributes of copper ions and the remarkable antioxidant qualities of polyphenols,we proposed the fabrication of polyphenol-mediated copper ion coatings on titanium surfaces.These coatings were subsequently assessed for their in vitro antimicrobial and antioxidant properties. METHODS:Nanostructures were generated on the titanium surface using the alkali thermal method.The titanium was immersed in a solution containing tannic acid and copper ions to achieve polyphenol-mediated copper ion coatings.The surface morphology and water contact angle were detected.The loading and release of copper ions were examined using atomic absorption spectroscopy.Staphylococcus aureus was inoculated on the surface of pure titanium sheet(blank group),alkali heat treated titanium sheet(control group),and polyphenol mediated copper ion modified titanium sheet(experimental group)to observe the bacterial survival status.Osteoblast precursor cells MC3T3-E1 were co-cultivated on the surface of three groups of titanium sheets to assess their antioxidant properties and bioactivity. RESULTS AND CONCLUSION:(1)Scanning electron microscopy showed that the polyphenol-mediated copper ion modified titanium sheet had rod-like nanostructures and no cracks on the surface.The surface hydrophilicity of copper ion modified titanium sheet mediated by polyphenol was close to that of pure titanium sheet.Atomic absorption spectrometry results showed a 51%increase in the loading capacity of copper ions after polyphenol mediation,with a uniform release of copper ions.(2)The antibacterial rates of titanium sheets in the blank group,control group,and experimental group were 0%,21.65%,and 93.75%,respectively.The live/dead staining and CTC staining showed that the live bacteria on the surface of titanium plates in the blank group were the most,and the live bacteria on the surface of titanium plates in the experimental group were the least.(3)The results of live/dead staining and CCK-8 assay showed that the three groups of titanium sheets had good cytocompatibility,and the titanium sheets in the experimental group were more conducive to the proliferation of MC3T3-E1 cells.Active oxygen fluorescence probe detection exhibited that compared with the other two groups,the fluorescence intensity of active oxygen on the surface of the experimental group was significantly reduced.The results of alkaline phosphatase and alizarin red S staining showed that the osteogenic differentiation and extracellular matrix mineralization of MC3T3-E1 cells on the surface of titanium sheets in the experimental group were stronger than those in the other two groups.(4)These results show that the polyphenol-mediated copper ion coating has strong antibacterial and antioxidant properties and promotes osteogenic differentiation.

Structural optimization of lead compounds is a crucial step in drug discovery.One optimization strategy is to modify the molecular structure of a scaffold to improve both its biological activities and absorption,distribution,metabolism,excretion,and toxicity(ADMET)properties.One of the deep molecular generative model approaches preserves the scaffold while generating drug-like molecules,thereby accelerating the molecular optimization process.Deep molecular diffusion generative models simulate a gradual process that creates novel,chemically feasible molecules from noise.However,the existing models lack direct interatomic constraint features and struggle with capturing long-range dependencies in macromolecules,leading to challenges in modifying the scaffold-based molecular structures,and creates limitations in the stability and diversity of the generated molecules.To address these challenges,we propose a deep molecular diffusion generative model,the three-dimensional(3D)equivariant diffusion-driven molecular generation(3D-EDiffMG)model.The dual strong and weak atomic interaction force-based long-range dependency capturing equivariant encoder(dual-SWLEE)is introduced to encode both the bonding and non-bonding information based on strong and weak atomic interactions.Addi-tionally,a gate multilayer perceptron(gMLP)block with tiny attention is incorporated to explicitly model complex long-sequence feature interactions and long-range dependencies.The experimental results show that 3D-EDiffMG effectively generates unique,novel,stable,and diverse drug-like molecules,highlighting its potential for lead optimization and accelerating drug discovery.

With the increasing aging of the population in China,the problem of cognitive decline with age is becoming more prominent,and how to move forward to maintain and improve cognitive function in older adults has become an important research topic.Active participation in social activities has a protective effect on cognitive function in older adults.This paper summarizes the concepts of social activities,relationships with cognitive function,and strategies for promoting interventions.The corresponding nursing inspirations were proposed,aiming to provide new perspectives for improving cognitive function in older adults.

Objective:To compare and analyze the parameters of image quality of virtual mono-energetic images(VMIs)and conventional computed tomography(CT)images of dual-energy CT(DECT)imaging for the coracoclavicular ligament,and to optimize the image quality of DECT imaging for coracoclavicular ligament.Methods:The DECT image data of shoulder joints of 50 patients who received DECT scan in the First People's Hospital Affiliated to Shanghai Jiao Tong University were retrospectively analyzed.450 VMIs at energy levels of 40 to 120 keV were obtained through the Syngo.via VB20 workstation,and these VMIs were divided into three groups:low energy level(40,50,60 keV),medium energy level(70,80,90 keV),and high energy level(100,110,120 keV).The contrast-to-noise ratio(CNR),the direction of coracoclavicular ligament's rows,and the displayed subjective quality scores of attachment points of VMIs were compared with those of conventional CT images.The results of MRI examination were used as the"gold standard"to assess the effectiveness of VMIs in diagnosing coracoclavicular ligament injuries of patients with acromioclavicular joint dislocation.The diagnostic efficacies of VMIs'the three groups and conventional images were assessed by using receiver operating characteristic(ROC)curve.Results:The CNR values of diagonal ligament and conical ligament at 40 keV of low energy level group of VMIs for coracoclavicular ligament were respectively 14.09±3.27 and 13.9±3.06,and those of medium energy level group were respectively 11.89±4.01 and 12.17±4.08,and those of high energy level were respectively 9.69±4.25 and 9.78±4.33.The CNR value of low energy level group was significantly higher than that of medium and high energy level groups,and the differences were statistically significant(t=21.1,16.3,P<0.05),respectively.The results of ROC curve analysis indicated that the sensitivity,specificity and area under curve(AUC)value of the low energy level group were relatively higher in diagnosing coracoclavicular ligament injury,which were respectively 90.05%,91.95%and 0.965.There was high consistence in assessing coracoclavicular ligament injury between DECT's VMIs and MRI examination(Kappa=0.896).Conclusion:DECT's VMIs can better display the rows and attachment points of diagonal ligament and conical ligament,and the VMIs quality at low energy level(40 to 70 keV)is the best,which has better diagnostic efficacy in diagnosing coracoclavicular ligament injury.

BACKGROUND:Iron overload is an independent factor inducing osteoporosis,but the action mechanism is currently unclear.Therefore,exploring the effects of iron overload on osteoblast-related cells will help to deeply understand the pathogenesis of osteoporosis and provide potential strategies for osteoporosis treatment.OBJECTIVE:To explore the effects of iron overload environment on osteoblast precursor cell activity,ferroptosis,and osteogenic differentiation.METHODS:Osteoblast precursor cells(MC3T3-E1 cells)were divided into blank group,iron overload group,fer-1 group,and deferoxamine group.The iron overload group was treated with 300 μmol/L ammonium ferric citrate in the culture medium for 48 hours to simulate the iron overload microenvironment.The cells in fer-1 group and deferoxamine group were pretreated with 5 μmol/L antioxidant fer-1 and 5 μmol/L deferoxamine for 8 hours,respectively,and then added with 300 μmol/L ammonium ferric citrate for 48 hours.CCK-8 assay was used to determine the cell viability.Intracellular reactive oxygen species levels were detected employing a reactive oxygen species fluorescent probe.Changes in mitochondrial membrane potential were monitored with a mitochondrial membrane potential fluorescent probe.Mitochondrial morphology was observed employing transmission electron microscopy.Cellular glutathione levels were measured with a reduced glutathione colorimetric assay kit.Lipid peroxidation levels were assessed with a malondialdehyde colorimetric assay kit.Cellular ferrous ion levels were determined with a ferrous ion colorimetric assay kit.The osteogenic and mineralization capabilities of the cells were verified by alkaline phosphatase staining and alizarin red staining.Collagen secretion ability was detected using Sirius Red staining.The expression of osteogenic/ferroptosis-related genes and proteins was examined through reverse transcription quantitative polymerase chain reaction and western blot analysis.RESULTS AND CONCLUSION:(1)In an iron-overload environment,the mitochondrial membrane potential of cells decreased and their structure was compromised,with an elevation in intracellular lipid peroxidation levels and a downregulation of genes and proteins associated with ferroptosis resistance.However,pretreatment with fer-1 and deferoxamine led to an increase in mitochondrial membrane potential and partial restoration of morphology,a reduction in intracellular lipid peroxidation levels,and an upregulation of genes and proteins related to ferroptosis resistance.(2)In an iron-overload environment,the levels of cellular alkaline phosphatase,the formation of mineralized nodules,and the synthesis of collagen fibers were all found to be decreased.Pretreatment with fer-1 and deferoxamine was observed to upregulate the expression of osteogenic differentiation in cells.(3)In summary,iron overload could increase intracellular oxidative stress levels,mediate ferroptosis in MC3T3-E1 cells and inhibit osteogenic differentiation,thereby inducing osteoporosis.Therefore,maintaining iron homeostasis and inhibiting osteogenesis-related ferroptosis may be potential strategies to prevent or treat osteoporosis.

Objective To explore the practical application effectiveness of Internet+standardized intervention modes(infection prevention+regular testing+self-directed learning+peer influence)in the comprehensive prevention and control of AIDS among men who have sex with men(MSM)and to evaluate the efficacy of integrating modern information technology with traditional standardized intervention measures against AIDS-related high-risk behaviors in MSM.Methods From September 2023 to September 2024,a total of 947 male MSM aged≥18 years who self-identified as non-heterosexual and were registered on the"Yulejian"platform,a self-built online comprehensive testing platform,were recruited through the voluntary counselling and testing(VCT)clinics of disease control departments and social organizations in Chongqing.A single-group prospective self-controlled before-after study design without a parallel control group was adopted in this study.All participants received a 6-month standardized Internet-based intervention,including targeted health education,risk assessment,HIV self-testing,pre-exposure prophylaxis(PrEP)/post-exposure prophylaxis(PEP)services,and online counselling.Core indicators,including AIDS knowledge awareness rate,sexual behavior incidence,condom use rate,drug use rate,and PEP/PrEP utilization rate were employed to evaluate the intervention efficacy on high-risk behaviors in MSM.Results After the intervention,the incidence of anal intercourse(74.2%vs 58.0%),heterosexual intercourse(32.4%vs 22.9%),and drug use(9.7%vs 4.5%)were all significantly decreased when compared with the corresponding rates before intervention(P<0.01).While,the consistent condom use rate during anal intercourse(47.4%vs 66.9%),awareness of sexual partners'HIV status(25.2%vs 44.7%),and PEP medication rate(7.6%vs 36.9%)were all obviously increased(P<0.01).Conclusion Our Internet+intervention modes,a four-dimensional linkage system of"infection prevention+regular testing+self-directed learning+peer influence"significantly reduces high-risk behaviors and HIV infection risks among MSM,which providing a digital paradigm for regional HIV prevention and control.

Objective To explore the relationship between serum chitosinase 3-like protein 1(CHI3L1)and Syndecan-1(SDC1)levels and bone metabolism in elderly patients with type 2 diabetes mellitus and their predictive efficacy on osteoporosis.Methods A total of 412 elderly patients with type 2 diabetes admitted to this hospital from May 2019 to May 2023 were included in this study,and were divided into normal bone mass group(n=151),reduced bone mass group(n=138)and osteoporosis group(n=123)according to the iffer-ences in bone mineral density.Serum CHI3L1 and SDC1 levels were detected by enzyme-linked immunosor-bent assay,and serum levels of type 1 collagen cross-linked carboxyl terminal peptide(CTX),25-hydroxyvita-min D[25-(OH)D],osteocalcin(OC),and type 1 procollagen N-terminal propeptide(P1NP)were deter-mined by automatic chemiluminescence immunoassay.Pearson correlation analysis was used to investigate the relationship between serum CHI3L1,SDC1 and bone metabolism in elderly patients with type 2 diabetes.Re-ceiver operating characteristic(ROC)curve was drawn to evaluate the predictive value of serum CHI3L1 and SDC1 on osteoporosis in elderly patients with type 2 diabetes.Multivariate Logistic regression analysis was used to investigate the influencing factors of osteoporosis in elderly patients with type 2 diabetes.Results There were significant differences in diabetes course,fasting blood glucose,HbA1c and HDL-C a-mong normal bone mass group,decreased bone mass group and osteoporosis group(P＜0.05).The levels of serum CHI3L1,25-(OH)D,P1NP and osteocalcin in osteoporosis group were lower than those in osteopenia group,and those in osteopenia group were lower than those in normal bone mass group,the differences were statistically significant(P＜0.05).Serum SDC1 and CTX levels in osteoporosis group were higher than those in osteopenia group,and those in osteopenia group were higher than those in normal bone mass group,the differences were statistically significant(P＜0.05).Serum CHI3L1 was positively correlated with 25-(OH)D,P1NP and OC(P＜0.05),and negatively correlated with CTX(P＜0.05).Serum SDC1 was negatively correlated with 25-(OH)D,P1NP,OC(P＜0.05),and positively correlated with CTX(P＜0.05).The area under the curve(AUC)of serum CHI3L1,SDC1 and their combination predicted osteoporosis in elderly pa-tients with type 2 diabetes were 0.851,0.772 and 0.904,respectively.Multivariate Logistic regression analysis showed that long duration of diabetes,increased HbA1c,high expression of OC,CHI3L1＞4.16 ng/mL,SDC1≥50.94 ng/mL were all influential factors for osteoporosis in elderly patients with type 2 diabetes(P＜0.05).Conclusion Low expression of CHI3L1 and high expression of SDC1 in serum are associated with ab-normal bone metabolism in elderly patients with type 2 diabetes.These two indexes are expected to be used as biological markers to predict osteoporosis in elderly patients with type 2 diabetes.

Objective:To investigate the clinical value of filling ultrasound combined with microflow imaging（MFI）in diagnosing small intestinal polyps for Peutz-Jeghers syndrome（P-JS）patients.Methods:From February 2022 to October 2024，86 P-JS patients were consecutively enrolled in the Air Force Special Medical Center. All patients underwent a filling ultrasound with oral 2.5% mannitol solution and MFI examination，with final polyp confirmation by enteroscopy. Polyps were categorized based on image quality（good or poor）and diameter（classified into different ranges）. The relationships between ultrasound characteristics，blood perfusion，and small intestine polyps were analyzed. ROC curve analysis was performed to evaluate the diagnostic efficacy of filling ultrasound alone and in combination with MFI for small intestine polyps.Results:Oral mannitol filling of the small intestine was successfully demonstrated. Multiple small intestinal polyps were detected in 82 patients，and no polyps in 4 patients. Filling ultrasound significantly improved the detection rate of small intestinal polyps in P-JS patients，especially for polyps ≤ 35 mm（ P<0.05）. However，there was no significant difference between the detection rate of polyps >35 mm and that of conventional ultrasound（ P>0.05）. In the case of poor image quality，filling ultrasound combined with MFI further improved the detection rate of ≤35 mm polyps（ P<0.05）. The results of the multivariate analysis showed that the maximum polyp diameter（ P=0.030）and blood flow pattern（ P=0.016）showed by MFI were influencing factors for the diagnosis P-JS small intestinal polyps. The diagnostic efficacies of filling ultrasound and filling ultrasound combined with MFI were good. The diagnostic AUC value，accuracy，sensitivity，and specificity of filling ultrasound were 0.887，0.863，0.850，and 0.765，respectively，while the diagnostic AUC value，accuracy，sensitivity，and specificity of filling ultrasound with MFI were 0.913，0.927，0.969 and 0.923，respectively. Conclusions:Filling ultrasound with oral 2.5% mannitol solution combined with MFI significantly optimizes the detection efficiency of small intestinal polyps in P-JS patients，providing strong support for clinical diagnosis.