BackgroundAnxiety disorder is a common mental disorder， with its prevalence showing a continuous upward trend， significantly affecting the quality of life and social function of patients. Due to the lack of objective and reliable biomarkers in clinical practice， the early identification and treatment of anxiety disorder have been somewhat limited. Plasma proteins have the potential to serve as biomarkers for mental diseases， however， the causal relationship between them and anxiety disorder remains unclear. ObjectiveTo identify the plasma proteins that have a causal relationship with anxiety disorders， and to elucidate the associated biological pathways， in order to provide references for the search for biomarkers of anxiety disorders and the exploration of potential therapeutic targets. MethodsBased on the protein quantitative trait locus （pQTL） data of 4 907 plasma proteins covering 35 559 Icelandic individuals from the deCODE database， and the genome-wide association studies （GWAS） data of 50 486 patients with anxiety disorders and 330 460 healthy controls， the inverse-variance weighted （IVW） method was used as the main analysis method， supplemented by MR-Egger method， weighted median method， simple model method， and weighted model method for bidirectional Mendelian randomization analysis. Enrichment analysis of gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathways was conducted for the related proteins. Sensitivity analysis was performed using Cochran's Q test， MR-Egger intercept test， MR-PRESSO test， and leave-one-out analysis to evaluate the robustness of the results. ResultsA total of 10 plasma proteins were identified as significantly associated with anxiety disorders. Among these， SPATA9 （OR=0.856， 95% CI： 0.784–0.934， P<0.01） and PDE5A （OR=0.911， 95% CI： 0.864–0.961， P<0.01） were identified as protective factors， while CRYGD （OR=1.209， 95% CI： 1.095–1.334， P<0.01）， BTN3A3 （OR=1.045， 95% CI： 1.018–1.073， P<0.01）， SERPINB13 （OR=1.102， 95% CI： 1.040–1.168， P<0.01）， ERBB4 （OR=1.283， 95% CI： 1.109–1.484， P<0.01）， LSAMP （OR=1.096， 95% CI： 1.037–1.158， P<0.01）， ICOSLG （OR=1.283， 95% CI： 1.104–1.490， P<0.01）， DNAJB11 （OR=1.172， 95% CI： 1.076–1.277， P<0.01）， and TREML1 （OR=1.115， 95% CI： 1.054–1.179， P<0.01） were identified as risk factors. The sensitivity analysis showed that the results were robust， with no heterogeneity （Cochran's Q test P>0.05） or pleiotropy （MR-Egger intercept test P>0.05）. Enrichment analysis indicated that these plasma proteins were enriched in biological processes such as T-cell signal transduction， lymphocyte proliferation， cell membrane structure and synaptic function， as well as the intestinal immune network that produces IgA and the ErbB signaling pathway. ConclusionThis study identified 10 plasma proteins associated with anxiety disorders. The functions of these plasma proteins involve multiple biological processes such as neural development and immune regulation.

ObjectiveTo observe the clinical efficacy and safety of Tangning Tongluo tablets in the treatment of nonproliferative diabetic retinopathy （DR）. MethodsFourteen research centers participated in this study， which spanned a time interval from September 2021 to May 2023. A total of 240 patients with nonproliferative DR were included and randomly assigned into an observation group （120 cases） and a control group （120 cases）. The observation group was treated with Tangning Tongluo tablets， and the control group with calcium dobesilate capsules. Both groups were treated for 24 consecutive weeks. The vision， DR progression rate， retinal microhemangioma， hemorrhage area， exudation area， glycosylated hemoglobin （HbA1c） level， and TCM syndrome score were assessed before and after treatment， and the safety was observed. ResultsThe vision changed in both groups after treatment （P<0.05）， and the observation group showed higher best corrected visual acuity （BCVA） than the control group （P<0.05）. The DR progression was slow with similar rates in the two groups. The fundus hemorrhage area and exudation area did not change significantly after treatment in both groups， while the observation group outperformed the control group in reducing the fundus hemorrhage area and exudation area. There was no significant difference in the number of microhemangiomas between the two groups before treatment. After treatment， the number of microhemangiomas decreased in both the observation group （Z=-1.437， P<0.05） and the control group （Z=-2.238， P<0.05）， and it showed no significant difference between the two groups. As the treatment time prolonged， the number of microhemangiomas gradually decreased in both groups. There was no significant difference in the HbA1c level between the two groups before treatment. After treatment， the decline in the HbA1c level showed no significant difference between the two groups. The TCM syndrome score did not have a statistically significant difference between the two groups before treatment. After treatment， neither the TCM syndrome score nor the response rate had significant difference between the two groups. With the extension of the treatment time， both groups showed amelioration of TCM syndrome compared with the baseline. ConclusionTangning Tongluo tablets are safe and effective in the treatment of nonproliferative DR， being capable of improving vision and reducing hemorrhage and exudation in the fundus.

Objective To explore the risk factors for premature delivery after transvaginal cervical cerclage,construct and validate a predictive model.Methods A total of 209 single-tonsus cervicitis patients who underwent McDonald cervical ring ligation at the Third Affiliated Hospital of Zhengzhou University from January 2022 to December 2024 were selected as subjects,and they were divided into preterm group(n=86)and full-term group(n=123)according to the postoperative pregnancy outcomes.LASSO regression analysis was used to screen variables,and the prediction model was constructed by multivariate Logistic regression.The performance of the model was evaluated by receiver operating characteristic curve,calibration curve and decision curve.Results Body mass index,amniotic sac protrusion,preoperative white blood cell,and cervical length before cerclage＜25mm were identified as independent risk factors for preterm birth(P＜0.05).The prediction model demonstrated an area under the curve of 0.823(95％CI:0.765-0.881),with sensitivity of 77.91％and specificity of 77.24％.Both the calibration curve and decision analysis confirmed the model's strong consistency and clinical net benefit.Conclusion The predictive model constructed in this study has a good predictive effect and can be used as a reference for the stratification of preterm risk after cervical cerclage.

To perform the phylogenetic characterization of an isolated porcine rotavirus(PoRV)and investigate its pathogenicity in suckling mice and piglets.A G4P[23]genotype PoRV strain JSJR2023 was successfully isolated from the diarrheic piglet feces through propagation in MA104 cells.The viral proliferation kinetics were analyzed using TCID50 assays,followed by complete genome sequencing through Sanger sequencing platforms.Comprehensive genotyping and phylogenetic reconstruction were conducted using MEGA7.0 with maximum likelihood algorithms.Pathogenicity was assessed in the following animal models:5-day-old C57BL/6 mice and 3-day-old piglets.Multidimensional evaluation included clinical monitoring(diarrhea scoring,growth parameters),virological detection,and histopathological analysis of intestinal tissues.The virus strain JSJR2023 could replicate efficiently in MA104 cells,achieving peak titers of 107.5 TCID50/mL.Whole genome genotype analysis showed that the strain belonged to G4-P[23]-I5-R1-C1-M1-A8-N1-T1-E1-H1.Phylogenetic analysis indicated that the VP3 and NSP4 genes of JSJR2023 strain were most closedrelated to human species rotaviruses,suggesting genetic reassortment between human and porcine RV strains.The animal experiments in suckling mice showed that the JSJR2023 strain infection caused diarrhea symptoms,intestinal edema and congestion,and shedding of intestinal villus epithelial cells.The pathogenicity experiments in piglets showed that compared with the control group,the challenged group of pig-lets had severe diarrhea symptoms,accompanied by reduced appetite and listlessness.Post-mortem examination revealed that the intes-tines were significantly thinner,congested,and filled with yellow watery contents.The challenged piglets showed typical pathological changes such as thinning of the intestinal wall and shortening and shedding of intestinal villi.In conclusion,this study successfully iso-lated a human-porcine recombinant G4P[23]PoRV strain and established the infection models in suckling mice and piglets,providing important tools for investigating the pathogenic mechanism of PoRV,evaluating vaccines and developing antiviral drug.

AIM:To investigate the impact of mitochondrial carrier homologous protein 2(MTCH2)on the metastasis of oral squamous cell carcinoma and to elucidate its underlying mechanisms.METHODS:Human tongue squamous cell carcinoma CAL-27 cells were selected as the study model.An MTCH2 inhibition and overexpression model was established using small interfering RNA(siRNA)technology and overexpression plasmids.Based on the experimental design,cells were categorized into the following groups:siRNA negative control(siRNA-NC)group,MTCH2 siRNA(siRNA-MTCH2)group,empty vector(OE-NC)group,and MTCH2 overexpression(OE-MTCH2)group.Transwell as-says and wound healing assays were conducted to assess the invasion and migration capabilities of cells in each group.The morphological changes and distribution of actin microfilaments were examined using a red fluorescent probe.The mito-chondrial membrane potential was evaluated using a mitochondrial membrane potential detection kit.The levels of reactive oxygen species(ROS)were measured using a ROS detection kit.Adenosine triphosphate(ATP)production levels were assessed with an ATP detection kit.The protein expression levels of MTCH2 and matrix metalloproteinase 14(MMP14)were analyzed through cell fluorescence and Western blot techniques.RESULTS:The number of invasive cells in the siRNA-MTCH2 group was significantly reduced,and the cell migration rate was notably decreased.Conversely,the OE-MTCH2 group exhibited a significant increase in both the number of invasive cells and the cell migration rate(P<0.01).The fluorescence intensity of F-actin and MTCH2 in the siRNA-MTCH2 group was significantly diminished,while these in-tensities were markedly elevated in the OE-MTCH2 group(P<0.01).The ROS levels in the siRNA-MTCH2 group were significantly higher than those in the siRNA-NC group,whereas the levels of ATP and mitochondrial membrane potential were significantly lower.Conversely,the ROS levels in the OE-MTCH2 group were significantly lower than those in the OE-NC group,with corresponding increases in ATP levels and mitochondrial membrane potential(P<0.01).The expres-sion levels of MTCH2 and MMP14 proteins in the siRNA-MTCH2 group were significantly lower than those in the siRNA-NC group,while the OE-MTCH2 group showed significantly higher expression levels compared to the OE-NC group(P<0.01).CONCLUSION:The MTCH2 is associated with the development of oral squamous cell carcinoma and may facili-tate the metastasis of CAL-27 cells by regulating mitochondrial function and MMP14 protein expression.Therefore,MTCH2 may represent a novel therapeutic target for the treatment of oral cancer.

BACKGROUND:With the popularization of implant technology,the incidence of peri-implantitis is increasing year by year,but the etiological mechanism is still unclear.Highly plastic macrophages can be polarized into M1 and M2 types under microenvironment stimulation,which play pro-inflammatory and anti-inflammatory effects,respectively,and play an important role in host defense,immune response,and maintenance of internal environment homeostasis in peri-implant tissues.The polarization trend of M1/M2 macrophages is closely related to the balance of foreign body response around implants.OBJECTIVE:Lipopolysaccharide and titanium particles are important pathogenic factors causing peri-implantitis,in order to further explore their inducible effect on macrophage polarization in peri-implant tissues.METHODS:The Chinese keywords were"peri-implantitis,macrophage polarization,lipopolysaccharide,titanium particles."The English keywords were"macrophage polarization,peri-implant inflammation,peri-implantitis,LPS,TLRs,NF-κB."The CNKI and PubMed databases were searched,and the relevant literature was screened and sorted to analyze the induction effect and related mechanism of lipopolysaccharide and titanium particles on M1/M2 polarization of macrophages in peri-implant tissues.RESULTS AND CONCLUSION:(1)Lipopolysaccharide and titanium particles may induce macrophage polarization in peri-implant tissues through Toll-like receptor/nuclear factor κB and other related signaling pathways,causing M1/M2 polarization imbalance and thus affecting the occurrence and progression of peri-implantitis.Some drugs can also regulate macrophage M1/M2 polarization through Toll-like receptor/nuclear factor κB signaling pathway to treat related inflammatory diseases.(2)By analyzing the induction effect of lipopolysaccharide and titanium particles on macrophage M1/M2 polarization in peri-implant tissues,the mechanism of their regulation of Toll-like receptor/nuclear factor κB signaling pathway to induce macrophage polarization is further explained,in order to provide some new ideas and strategies for the study of immune prevention and treatment of peri-implantitis.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

In recent years,our understanding of neutrophil extracellular traps(NETs)has been deepened with advancements in technology.Extensive research has demonstrated that NETs are intricately linked to autoimmunity and contribute to the path-ogenesis of autoimmune diseases through multiple mechanisms,such as serving as a source of self-antigens,activating the com-plement system,or modulating other immune cells.Notably,the interaction between NETs and immune cells plays a critical role in disease progression.This article primarily reviews the relationship of NETs with dendritic cells,macrophages,B cells,and CD4 T cells in autoimmune diseases,providing insights into potential therapeutic strategies by NETs level modulation and NETs-immune cell interactions intervenion.