ObjectiveTo investigate the role of Krüppel-like factor 4 （KLF4） in type 1 diabetic nephropathy （DN） and to elucidate its underlying mechanisms. MethodsSixteen male Sprague-Dawley （SD） rats were selected and randomly divided into control group and model group， with 8 rats in each group. Rats in model group were intraperitoneally injected with a single dose of 55 mg/kg streptozotocin （STZ） to establish a diabetic nephropathy （DN） model， while those in control group were injected with an equal volume of sodium citrate buffer at the same time. After successful model establishment， the serum levels of blood urea nitrogen （BUN） and serum creatinine （SCR） were determined. Hematoxylin-eosin （HE） staining was performed on renal tissues to observe pathological changes， and immunofluorescence staining was conducted to detect the expression of KLF4 in renal tissues. Lipid peroxidation levels were evaluated by measuring malondialdehyde （MDA）， Fe²⁺， and lipid peroxidation products in rat kidneys. A high glucose （HG）-induced cell injury model was established in HK-2 cells， with mitochondrial membrane potential assessed using 5，5'，6，6'-tetrachloro-1，1'，3，3'- tetraethylbenzimidazolylcarbocyanine iodide （JC-1） staining. Lipid peroxidation levels （MDA， Fe²⁺， and lipid peroxides） were measured in HK-2 cells.KLF4-overexpressing HK-2 cells were then constructed， followed by repeated JC-1， MDA， Fe²⁺， and lipid peroxidation assays. Western blot was performed to evaluate the expression of ferroptosis-related proteins including glutathione peroxidase 4 （GPX4）， nuclear factor erythroid 2-related factor 2 （NRF2）， and Kelch-like ECH-associated protein 1 （Keap1）， in renal tissues， HK-2 cells， and KLF4-overexpressing HK-2 cells. ResultsCompared with the control group， DN rats exhibited elevated serum BUN and SCR levels， glomerular hypertrophy， renal interstitial fibrosis， and decreased KLF4 expression. Additionally， MDA， Fe²⁺， and lipid peroxidation levels increased， indicating enhanced ferroptosis in renal tissues， accompanied by reduced GPX4 and NRF2 expression and elevated Keap1 levels. Similarly， HG-treated HK-2 cells showed decreased KLF4 expression， increased MDA， Fe²⁺ and lipid peroxidation， elevated ferroptosis， and dysregulated GPX4/NRF2/Keap1 expression. However， KLF4 overexpression reversed these alterations induced by high glucose treatment. ConclusionIn the renal tissues of type 1 diabetic rats， the expression of KLF4 decreases the level of ferroptosis increases， and KLF4 overexpression could alleviate HG-induced HK-2 cell injury.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective To investigate the influence and threshold effect of preoperative intraocular pressure(IOP)on secondary glaucoma(SG)after pars plana vitrectomy(PPV).Methods A retrospective analysis was conducted on 88 patients with retinal detachment who developed SG after PPV(SG group)treatment at Hebei Eye Hospital from January 2020 to January 2024.Meanwhile,88 patients with retinal detachment who underwent PPV at the same hospital during the same period but did not develop SG postoperatively were selected as non-SG group in a 1:1 ratio.Univariate analysis was used to compare the differences in clinical data between the two groups.A stratified regression model was applied to analyze the correlation between postoperative characteristics and preoperative IOP.Multivariate logistic regression analysis was used to identify the factors affecting the occurrence of SG after PPV,with multicollinearity diagnosis and sensitivity analysis performed for the parameters.Additionally,the threshold effect of preoperative IOP on the risk of postoperative SG was analyzed.A predictive model was constructed based on the results of multivariate logistic regression.The receiver operating characteristic(ROC)curve was employed to evaluate the efficacy and accuracy of the predictive model,while the calibration curve and clinical decision curve were utilized to assess the consistency between the predictive model and actual conditions as well as the clinical practicality of the model.Results Compared with non-SG group,SG group had a higher proportion of patients with a history of diabetes,family history of glaucoma,a higher preoperative IOP,higher proportion of postoperative closed anterior chamber angle status,longer silicone oil tamponade duration(≥6 months),higher incidence of silicone oil emulsification(P<0.05).Postoperative anterior chamber angle status(closed)was significantly positively correlated with preoperative IOP levels(P<0.05).Multivariate logistic regression analysis showed that history of diabetes,family history of glaucoma,silicone oil emulsification,postoperative anterior chamber angle closure,silicone oil tamponade duration≥6 months,and preoperative IOP≥21 mmHg were independent risk factors for SG after PPV(P<0.05).Multicollinearity diagnosis indicated no significant collinearity among the above variables.Sensitivity analysis showed that the association tended to be null when E=5.014.With the increase of preoperative IOP,the probability of SG after PPV in patients showed an upward trend.The threshold effect analysis revealed that when preoperative IOP≥19 mmHg,the probability of SG after PPV increased significantly with the elevation of preoperative IOP(OR=2.942,95%CI 1.794-4.826,P<0.001).After adjusting for covariates,preoperative IOP remained an independent influencing factor for different degrees of SG after PPV(OR=7.392,95%CI 1.379-12.510,P=0.001).Before and after validation,the area under the ROC curves(AUCs)of the model for predicting SG after PPV were 0.987(95%CI 0.974-1.000,P<0.001)and 0.989(95%CI 0.969-1.000,P<0.001),with sensitivities of 0.9332 and 0.9545,and specificities of 0.9981 and 0.9773,respectively.Both the calibration curve and decision curve analysis demonstrated that the predictive model had good discrimination and accuracy.Conclusion Preoperative IOP is an influencing factor and a sensitive indicator for the development of SG after PPV in patients with retinal detachment.

Objective To investigate the association of digit ratio with single nucleotide polymorphism(SNP)at three loci(rs17576,rs3918249,rs9509)of matrix metallopeptidase 9(MMP-9)gene.Methods A total of 804 Ningxia Han youths(399 males and 405 females)were used as the study subjects.A digital camera was used to take frontal photographs of the hands,and image analysis software was used to mark the anatomical points and measure the lengths of each finger of both hands(2D,3D,4D,5D);Multiplexed PCR was used to detect the three polymorphic sites of the MMP-9 gene,SPSS 25.0 and R Studio software were used for data analysis and plotting.Results The 2D/3D(P＜0.05)and 2D/4D(left,P＜0.01,right,P＜0.05)of both hands,2D/5D(P＜0.01),3D/5D,4D/5D(P＜0.05)of the right hand,and 3D/4D(P＜0.05)of the left hand in female youths of Ningxia Han were significantly higher than those in males,Differences in genotypes and allele frequencies at all 3 loci of the MMP-9 gene were not statistically significant between genders(P＞0.05).Right hand 2D/4D was significantly associated with genotypes at the rs17576 and rs3918249 loci in male youths(P＜0.05).Conclusion MMP-9 gene SNPs(rs17576 and rs3918249)may be associated with the formation of 2D/4D of Ningxia Han male youths.

Objective To investigate the effect of Huangqi Shengmai Yin(HSY)on myocardial fibrosis in rats with acute myocardial infarction(AMI)by adjusting P2X purinoceptor 7(P2X7R)/NOD-like receptor protein 3(NLRP3)pathway.Methods Sixty rats were divied into a sham operation group and model group(5 groups),with 10 rats in each group.The AMI rat model was constructed by ligating the left anterior descending branch and randomly grouped into AMI group,the HSY-low group(intragastric administration of 1.6 ml/kg HSY),the HSY group(intragastric administration of 6.2 ml/kg HSY),the compound miltiorhiza group(intragastric administration of 300 mg/kg),and the HSY-high+P2X7R agonist-ATP group(intragastric administration of 6.2 ml/kg HSY,and tail vein administration of 10 mmol/L ATP).After the intervention,cardiac function,myocardial injury and inflammatory factor markers were detected.The tissue sections were prepared to examine pathological changes,myocardial fibrosis,type Ⅰ and type Ⅲ collagen(COL1A1,COL3A1).Western blotting was performed to detecte the protein expression of P2X7R,NLRP3,tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),and the expression of activated Caspase-1.Results Compared with the sham surgery group,the AMI group showed an increase in the left ventricular end diastolic diameter(LVEDD),the coatent of brain natriuretic peptide(BNP)and cardiac troponin I(cTn I),fibrosis volume fraction,the positive expression of COL1A1,COL3A1,TNF-α,IL-1β,P2X7R,NLRP3,and activated Caspase-1 proteins(P＜0.05),and a decrease in left ventricular ejection fraction(LVEF)(P＜0.05).The HSY-low group,HSY-high groups,and compound miltiorhiza group showed a decrease in LVEDD,the content of BNP and cTn I,fibrosis volume fraction,the positive expression of COL1A1 and COL3A1,TNF-α,IL-1β,P2X7R,NLRP3,and activated Caspase-1 proteins(P＜0.05),and an increase in LVEF than these in the AMI group(P＜0.05).The HSY-high+ATP group showed an increase in LVEDD,the content of BNP,cTn I,fibrosis volume fraction,the positive expression of COL1A1 and COL3A1,TNF-α,IL-1β,P2X7R,NLRP3,and activated Caspase-1 proteins(P＜0.05),and a decrease in LVEF than those in the HSY-high group(P＜0.05).Conclusion HSY inhibits P2X7R/NLRP3 pathway to alleviate myocardial fibrosis in AMI rats.

Transcranial temporal interference stimulation (tTIS) is a novel non-invasive neuromodulation technique with the potential to precisely target deep brain structures. This study explores the neural and behavioral effects of tTIS on the superior colliculus (SC), a region involved in eye movement control, in mice. Computational modeling revealed that tTIS delivers more focused stimulation to the SC than traditional transcranial alternating current stimulation. In vivo experiments, including Ca²⁺ signal recordings and eye movement tracking, showed that tTIS effectively modulates SC neural activity and induces eye movements. A significant correlation was found between stimulation frequency and saccade frequency, suggesting direct tTIS-induced modulation of SC activity. These results demonstrate the precision of tTIS in targeting deep brain regions and regulating eye movements, highlighting its potential for neuroscientific research and therapeutic applications.
Animals ; Superior Colliculi/physiology* ; Transcranial Direct Current Stimulation/methods* ; Eye Movements/physiology* ; Male ; Mice ; Mice, Inbred C57BL

Bovine rotavirus(BRV)is an important pathogen causing diarrhea in calves.To understand the genomic charac-teristics and genetic variations in bovine rotavirus,and to further enrich data on the biological characteristics of rotavirus,we aimed to amplify 11 gene segments of the isolated and cultured G6P[1]bovine rotavirus BLL strain,perform whole genome se-quencing,and analyze the molecular characteristics.MEGA7.0 and DNAMAN software were used for homology and typing a-nalysis,and the whole genome phylogenetic tree was constructed to analyze genetic evolution relationships.The complete geno-type of the BLL strain was G6-P[1]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis of the VP7 and VP4 genes of the BLL strain showed that the VP7 gene had the highest homology with RVA/Cow-wt/HB01/China/2021,and the VP4 gene of the BLL strain was in the same branch as RVA/Human-tc/ISR/Ro8059/1995.From the sequence alignment of VP8*amino acids,the sialic acid domain of the BLL strain was found to be similar to that in other P[1]strains,but different from those in other types of strains,except for residue 189,which was the same as that in Ro8059 but different from that in other strains.The results suggested that the BLL strain might potentially infect humans.Therefore,continued monitoring and study of the biological characteristics of this strain are necessary to provide more information and evidence supporting further research on the cross-species transmission of group A rotavirus in China.