Objective To investigate the anti-inflammatory protective effects of remimazolam on microglial cells and elucidates the potential molecular mechanisms underlying these effects. Methods The mouse microglial cell line (BV2) was selected as the research object. The following groups were set up:the control group (complete medium),the Rema group (200 μg/mL remimazolam),the model group (1 μg/mL lipopolysaccharide,LPS),and different-concentration administration groups (1 μg/mL LPS+50,100,200 μg/mL remimazolam). In the Rema group,cells were treated with 200 μg/mL remimazolam alone for 26 h. In the model group,cells were treated with LPS for 24 h. In the different-concentration administration groups,cells were pre-treated with different concentrations of remimazolam for 2 h,and then treated with LPS for 24 h. The effects of LPS and remimazolam on the morphology of BV2 cells were observed and evaluated using an optical microscope. Cell viability was determined using the CCK-8 assay,while the expression and secretion of inflammatory cytokines were quantified by quantitative real-time PCR and ELISA. Reactive oxygen species (ROS) levels were measured using a fluorescent probe. Additionally,malondial-dehyde (MDA) content,superoxide dismutase (SOD) activity,and glutathione peroxidase (GSH) activity were evaluated using respective assay kits. Western blot analysis was conducted to examine the protein expression levels of Bax,Bcl-2,IL-1β,RAGE,NF-κB,p-NF-κB,IκBα,p-IκBα,iNOS,and Arg-1. Immunofluorescence staining was employed to visualize NF-κB nuclear translocation and M1/M2 polarization in the cells. Results Compared to the control group,LPS-treated BV2 cells demonstrated significantly reduced cell viability,elevated expression and se-cretion of inflammatory cytokines (TNF-α,IL-6,IL-1β),decreased activities of SOD and GSH,and increased in-tracellular levels of MDA and ROS. Additionally,RAGE protein levels were upregulated,along with enhanced phos-phorylation of IκBα and NF-κB,leading to observable NF-κB nuclear translocation. The expression of the M1 marker iNOS was upregulated,while that of the M2 marker Arg-1 was downregulated. In contrast,in the LPS+Rema group,cell viability was restored,expression and secretion of inflammatory cytokines were attenuated,SOD and GSH activities were improved,and levels of MDA and ROS were reduced compared to the LPS group. Furthermore,RAGE protein expression and phosphorylation levels of IκBα and NF-κB were diminished,inhibiting NF-κB nuclear translocation. The expression of the M1 marker iNOS was downregulated,while that of the M2 marker Arg-1 was up-regulated. Conclusion Remimazolam mitigates LPS-induced inflammation by facilitating the transition of microglial cells from the M1 to the M2 phenotype via modulation of the NF-κB pathway and reduction of ROS production.

Dysregulated lipid metabolism can lead to multi-organ dysfunction, particularly the cardiovascular diseases. Increasing evidence indicates that lipid metabolism abnormalities also play a significant role in various ocular diseases, especially in blinding diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy, and optic atrophy. Lipid dysregulation not only directly affects the structure and function of ocular tissues but also exacerbates optic nerve damage and retinal degeneration by modulating inflammation, apoptosis, and oxidative stress. This review summarizes the relationship between lipid metabolism disorders and ocular diseases, explores the pathogenic mechanisms involved in vision loss, and discusses the potential clinical applications of lipid metabolism modulation, particularly in early diagnosis, therapeutic strategies, and preventive interventions.

To investigate the infection status of two arboviruses,akabane orthobunyavirus(AKAV)and bluetongue virus(BTV),in cattle herds of Guizhou Province,we employed the indirect ELISA method to detect AKAV and BTV antibody levels in the present experiment.A total of 1504 bovine serum samples from 37 large-scale farms and 88 free-range households from 26 districts or coun-ties of 7 cities(prefectures)of Guizhou Province were collected to detect AKAV antibody levels.Additionally,1 241 serum samples from 30 large-scale farms and 15 free-range households in 19 districts or counties of 3 cities(prefectures)were tested for BTV antibody levels.Moreover,two influencing factors,breeding mode and sampling season,were statistically analyzed for their effects.The results showed that the overall positive rate of AKAV antibodies was 11.64％(175/1 504),with individual positive rates of 13.20％(123/934)and 9.12％(52/570)in large-scale farms and free-range households,respectively.No significant differences were observed between the two groups.However,the farm positive rate(64.86％,24/37)in large-scale farms was significantly higher than that(26.14％,23/88)in free-range households.Seasonal statistics showed that the positive rate was highest during the summer season at 60.00％(12/20).The total positive rate of BTV antibodies was 25.42％(222/1 241).The farm positive rate and individual positive rate in free-range households were 66.67％(10/15)and 41.91％(57/136),respectively.For large-scale farms,these rates were 60.00％(18/30)and 14.93％(165/1 105),respectively.The individual pos-itive rate in free-range households was significantly higher than that in large-scale farms.Seasonal statistics showed that the positive rates in summer and autumn seasons were 50.00％(5/10)and 72.41％(21/29),respectively,both of which were significantly higher than those in winter and spring seasons.All these findings indicated that both AKAV and BTV were present to a certain ex-tent in Guizhou Province,with seasonality.Furthermore,differences were observed between the different breeding modes.Our results could provide a data reference for the formulation of preven-tion and control measures for the two insect-borne diseases.

To investigate the infection status of two arboviruses,akabane orthobunyavirus(AKAV)and bluetongue virus(BTV),in cattle herds of Guizhou Province,we employed the indirect ELISA method to detect AKAV and BTV antibody levels in the present experiment.A total of 1504 bovine serum samples from 37 large-scale farms and 88 free-range households from 26 districts or coun-ties of 7 cities(prefectures)of Guizhou Province were collected to detect AKAV antibody levels.Additionally,1 241 serum samples from 30 large-scale farms and 15 free-range households in 19 districts or counties of 3 cities(prefectures)were tested for BTV antibody levels.Moreover,two influencing factors,breeding mode and sampling season,were statistically analyzed for their effects.The results showed that the overall positive rate of AKAV antibodies was 11.64％(175/1 504),with individual positive rates of 13.20％(123/934)and 9.12％(52/570)in large-scale farms and free-range households,respectively.No significant differences were observed between the two groups.However,the farm positive rate(64.86％,24/37)in large-scale farms was significantly higher than that(26.14％,23/88)in free-range households.Seasonal statistics showed that the positive rate was highest during the summer season at 60.00％(12/20).The total positive rate of BTV antibodies was 25.42％(222/1 241).The farm positive rate and individual positive rate in free-range households were 66.67％(10/15)and 41.91％(57/136),respectively.For large-scale farms,these rates were 60.00％(18/30)and 14.93％(165/1 105),respectively.The individual pos-itive rate in free-range households was significantly higher than that in large-scale farms.Seasonal statistics showed that the positive rates in summer and autumn seasons were 50.00％(5/10)and 72.41％(21/29),respectively,both of which were significantly higher than those in winter and spring seasons.All these findings indicated that both AKAV and BTV were present to a certain ex-tent in Guizhou Province,with seasonality.Furthermore,differences were observed between the different breeding modes.Our results could provide a data reference for the formulation of preven-tion and control measures for the two insect-borne diseases.

Dysregulated lipid metabolism can lead to multi-organ dysfunction, particularly the cardiovascular diseases. Increasing evidence indicates that lipid metabolism abnormalities also play a significant role in various ocular diseases, especially in blinding diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy, and optic atrophy. Lipid dysregulation not only directly affects the structure and function of ocular tissues but also exacerbates optic nerve damage and retinal degeneration by modulating inflammation, apoptosis, and oxidative stress. This review summarizes the relationship between lipid metabolism disorders and ocular diseases, explores the pathogenic mechanisms involved in vision loss, and discusses the potential clinical applications of lipid metabolism modulation, particularly in early diagnosis, therapeutic strategies, and preventive interventions.

Objective To investigate the anti-inflammatory protective effects of remimazolam on microglial cells and elucidates the potential molecular mechanisms underlying these effects. Methods The mouse microglial cell line (BV2) was selected as the research object. The following groups were set up:the control group (complete medium),the Rema group (200 μg/mL remimazolam),the model group (1 μg/mL lipopolysaccharide,LPS),and different-concentration administration groups (1 μg/mL LPS+50,100,200 μg/mL remimazolam). In the Rema group,cells were treated with 200 μg/mL remimazolam alone for 26 h. In the model group,cells were treated with LPS for 24 h. In the different-concentration administration groups,cells were pre-treated with different concentrations of remimazolam for 2 h,and then treated with LPS for 24 h. The effects of LPS and remimazolam on the morphology of BV2 cells were observed and evaluated using an optical microscope. Cell viability was determined using the CCK-8 assay,while the expression and secretion of inflammatory cytokines were quantified by quantitative real-time PCR and ELISA. Reactive oxygen species (ROS) levels were measured using a fluorescent probe. Additionally,malondial-dehyde (MDA) content,superoxide dismutase (SOD) activity,and glutathione peroxidase (GSH) activity were evaluated using respective assay kits. Western blot analysis was conducted to examine the protein expression levels of Bax,Bcl-2,IL-1β,RAGE,NF-κB,p-NF-κB,IκBα,p-IκBα,iNOS,and Arg-1. Immunofluorescence staining was employed to visualize NF-κB nuclear translocation and M1/M2 polarization in the cells. Results Compared to the control group,LPS-treated BV2 cells demonstrated significantly reduced cell viability,elevated expression and se-cretion of inflammatory cytokines (TNF-α,IL-6,IL-1β),decreased activities of SOD and GSH,and increased in-tracellular levels of MDA and ROS. Additionally,RAGE protein levels were upregulated,along with enhanced phos-phorylation of IκBα and NF-κB,leading to observable NF-κB nuclear translocation. The expression of the M1 marker iNOS was upregulated,while that of the M2 marker Arg-1 was downregulated. In contrast,in the LPS+Rema group,cell viability was restored,expression and secretion of inflammatory cytokines were attenuated,SOD and GSH activities were improved,and levels of MDA and ROS were reduced compared to the LPS group. Furthermore,RAGE protein expression and phosphorylation levels of IκBα and NF-κB were diminished,inhibiting NF-κB nuclear translocation. The expression of the M1 marker iNOS was downregulated,while that of the M2 marker Arg-1 was up-regulated. Conclusion Remimazolam mitigates LPS-induced inflammation by facilitating the transition of microglial cells from the M1 to the M2 phenotype via modulation of the NF-κB pathway and reduction of ROS production.

In order to understand the prevalence of Akabane disease(AKAD)in Guizhou Province and the molecular characteristics of the isolates,the whole-genome sequence of a strain of Akabane virus(AKAV)from a bovine AKAD-positive sample was determined and analyzed.The genotype and genetic variation of the strain were also explored.Based on the conserved S sequence,a fluores-cence quantitative PCR(qPCR)detection method was established and applied for the investigation of AKAV infection status in four large-scale beef cattle farms of Guizhou.Results showed that the S,M and L fragments of the bovine strain were highly homologous to the Tianjin strain(TJ2016/China/2016)and the Australian strain(JaLAB39/Australia/1959),where they were in the same evolutionary branch and belonged to genotype Ⅱ.Sensitivity assay found that the lowest detection limit was 2.5 X 101 copies/μL.Specificity assay showed the established method detected only AKAV with no amplification on bovine bluetongue virus(BLUV),Pasteurella multocida(PM),bovine infectious rhinotracheitis virus(IBRV)and bovine Mycoplasma bovis.The variation coefficients of inter-and intra batches in the repeatability test were both lower than 2.26％.These findings illus-trated that the established qPCR method had high sensitivity,good specificity and repeatability.A total of 298 serum samples from 4 large-scale beef cattle farms in Qianxi City and Huangping County of Guizhou Province were collected and tested for AKAV by the method.Out of 298 sam-ples,25 positive samples(25/298)were detected as positive with a positive rate of 8.39％.In sum-mary,this work provided the reference data for a deep understanding of the molecular prevalence of AKAV in Guizhou Province and laid foundation for the prevention and control of AKAD.

Objective To construct and validate a risk prediction model for poor inhalation in chronic obstructive pulmonary disease(COPD)patients receiving inhaler therapy,providing a decision support tool for personalized prevention of poor inhalation.Methods A cross-sectional study was conducted to collect data related to COPD patients receiving inhaler therapy,forming a dataset.The dataset was randomly divided into a training set and a test set in a ratio of 4∶1.Four different methods for missing value imputation,3 methods for variable feature selection,and 18 machine learning algorithms were employed to successfully construct 216 models on the training set.The monte carlo simulation method was used for resampling in the test set to validate the models,with the area under curve(AUC),accuracy,precision,recall,and F1 score used to evaluate model performance.The optimal model was selected to build the poor inhalation prediction platform.Results A study involving 308 patients with COPD found that 135(43.8%)were at risk of adverse inhalation.Using 33 predictor variables,216 risk prediction models were developed.Of these models,the ensemble learning algorithm yielded the highest average AUC of 0.844,with a standard deviation of 0.058[95%CI=(0.843,0.845)].The differences in predictive performance among the 216 models were statistically significant(P＜0.01).Under the ensemble learning algorithm,adherence to inhaler use(38.087 4%),inhaler satisfaction(25.680 1%),literacy(24.031 3%),number of inhalers(5.482 3%),age(4.204 5%)and number of acute exacerbations in the past year(2.184 7%)contributed most to the predictive model.The model exhibited superior performance,with an AUC of 0.869 3,an accuracy of 83.87%,a precision of 86.96%,a recall of 74.07%,and an F1 score of 0.8.Conclusion This study has developed a predictive model for poor inhalation risk in COPD inhaler therapy patients using machine learning algorithms,which exhibits strong predictive capabilities and holds potential clinical application value.

Objective To propose strategies for developing clinical predictive models,aiming to assist researchers in conducting standardized clinical prediction model studies.Methods Literature review was conducted to summarize the operational steps and content for developing clinical predictive models.Then,a methodological framework was summarized and refined through expert consultation.Results The 11-step methodological framework for developing clinical predictive models was obtained by synthesizing the experience of 456 clinical predictive modeling studies and expert consultation,and the details were analyzed and elaborated.Conclusions This study presents methodological strategies and recommendations for the development of clinical predictive models,intended to serve as a guide for researchers.

Objective: Using computer-assisted navigation technology to guide the resection and reconstruction of mandibular ameloblastoma, evaluating its treatment effect. Methods : Twelve patients were selected from the Affiliated Stomatological Hospital of Nanjing University from January 2017 to May 2022. All 12 patients accepted same surgery which included resection of mandibular ameloblastoma and reconstruction by fibula musculocutaneous flap. Among them, 6 cases were included in the navigation group; 6 cases were in the non-navigation group. Advantages and disadvantages of computer-assisted navigation technology in this operation were evaluated with these cases. Results: The 12 operations were performed by the same operator. The average time for fixing the navigation bracket and performing navigation in the navigation group was about 15 minutes. Compared with the non-navigation group, the average operation time in the navigation group was shortened by about 10 minutes. In the navigation group, the mandible resection range matched the fibula musculocutaneous flap well, and the occlusal relationship recovered well. Conclusion Using the mandibular reference frame, under the guidance of computer-assisted navigation technology, the resection and reconstruction of mandibular ameloblastoma can be performed quickly and accurately.