Metastasis serves as an indicator of malignancy and is a biological characteristic of carcinomas. Epithelial-mesenchymal transition (EMT) plays a key role in the promotion of tumor invasion and metastasis and in the enhancement of tumor cell aggressiveness. Prostaglandin E synthase 3 (p23) is a cochaperone for heat shock protein 90 (HSP90). Our previous study showed that p23 is an HSP90-independent transcription factor in cancer-associated inflammation. The effect and mechanism of action of p23 on lung cancer metastasis are tested in this study. By utilizing cell models in vitro and mouse tail vein metastasis models in vivo, the results provide solid evidence that p23 is critical for promoting lung cancer metastases by regulating downstream CXCL1 expression. Rather than acting independently, p23 forms a complex with RNA-binding motif protein 14 (RBM14) to facilitate EMT progression in lung cancer. Therefore, our study provides evidence for the potential role of the RBM14-p23-CXCL1-EMT axis in the metastasis of lung cancer.

Objective To explore the mediating role of intolerance of uncertainty(IU)and moderating role of the negative emotion differentiation in the influence of perceived stress on anxiety among college students from a cognitive perspective.Methods A total of 271 participants were surveyed using the perceived stress scale,intolerance of uncertainty scale,depression anxiety and stress scale(Chinese version),and the test on negative emotional differentiation.SPSS 22.0 was used to perform descriptive statistics and correlation analyses and to test the moderated mediation model.Results Perceived stress affected anxiety and IU played a mediating role-perceived stress could affect anxiety through influencing IU.At the same time,the influence of IU on anxiety could be adjusted through the negative emotion differentiation.The higher the degree of negative emotion differentiation,the lower the degree of anxiety increase(β=0.17,t=5.70,P＜0.01).Conclusion It may be effective to develop training programs to reduce anxiety by regulating perceived stress,increasing acceptance of uncertainty,and improving the negative emotion differentiation,which can help individuals reduce anxiety by perceiving and adjusting anxiety-related emotional or cognitive factors in a timely manner.

Objective To explore the relationship between serum S100 calcium-binding protein(S100)A4,S100A12 and the infection type and prognosis of neonatal infectious pneumonia(NIP).Methods A total of 300 children with NIP admitted to the Neijiang Second People's Hospital from January 2021 to March 2024 were selected and divided into the bacterial infection group(214 cases)and the non-bacterial infection group(86 cases)according to the types of pathogenic bacteria.Another 150 healthy newborns in the same hospital during the same period were selected as the control group.The levels of serum S100A4 and S100A12 were de-tected by enzyme-linked immunosorbent assay.Pearson correlation analysis was conducted to examine the cor-relations between serum S100A4,S100A12 and procalcitonin(PCT),white blood cell count(WBC),albumin(Alb),and platelet count(PLT).The receiver operating characteristic(ROC)curve was used to evaluate the differential value of serum S100A4,S100A12,PCT,WBC,Alb,and PLT alone and in combination for NIP bac-terial infection.According to the prognosis,children with NIP were divided into the poor prognosis group(63 cases)and the good prognosis group(237 cases).Multivariate Logistic regression model was used to analyze the influencing factors of poor prognosis in children with NIP,and ROC curve was used to analyze the value of each factor in predicting poor prognosis in children with NIP.Results The levels of serum S100A4,S100A12,PCT,WBC,and PLT in the bacterial infection group were higher than those in the non-bacterial infection group and the control group,while Alb was lower than that in the non-bacterial infection group and the control group,the differences were statistically significant(P<0.05).Pearson correlation analysis showed that serum S100A4 and S100A12 in children with NIP were positively correlated with PCT,WBC and PLT(P<0.05),and negatively correlated with Alb(P<0.05).The results of ROC curve analysis showed that the area under the curve(AUC)of serum S100A4 and S100A12 in differentiating NIP infection types was slightly lower than that of PCT,WBC,Alb,and PLT in differentiating NIP infection types.The results of multivariate Logistic re-gression analysis showed that elevated S100A4,elevated S100A12,elevated PCT,bacterial infection,and lung consolidation were independent risk factors for poor prognosis in children with NIP(P<0.05).The AUC of bacterial infection,lung consolidation,PCT,S100A4,and S100A12 for predicting the poor prognosis of chil-dren with NIP was 0.903.It was greater than the AUC predicted separately by bacterial infection,lung consol-idation,PCT,S100A4,and S100A12 levels(Z=9.989,9.460,5.514,4.084,4.376,P<0.001).Conclusion The combination of serum S100A4 and S100A12 with traditional markers has certain discrimina-tory value for the infection types of NIP,and the levels of serum S100A4 and S100A12 are related to the prog-nosis of NIP.

Objective To explore the feasibility of radiomics features combined with different machine learning methods based on CT scans to predict lymphovascular and perineural invasion in patient with gastric cancer.Methods A total of 142 patients with gas-tric cancer lymphovascular confirmed by operative pathological examination were retrospectively selected.Among all patients,there were 96 positive cases and 46 negative cases.Among 137 patients with perineural invasion,there were 76 positive cases and 61 nega-tive cases.The 3D-Slicer package was used for delineation,and the Pyradiomics package was used to extract radiomics features.All data were randomly divided into training set and test set in an 8∶2 ratio.Intraclass correlation coefficient(ICC),Pearson correla-tion analysis,least absolute shrinkage and selection operator(LASSO)algorithm were used for feature selection.Support vector machine(SVM),K-nearest neighbor(KNN),decision tree(DT),random forest(RF),extreme tree(ET),extreme gradient boosting(XGBoost),and LightGBM were used to compare the models of lymphovascular and perineural invasion,respectively.Receiver operating characteris-tic(ROC)curve and area under the curve(AUC)were used to evaluate the predictive performance of these models.Results The lymphovascular group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.926,0.753,1.000,0.999,1.000,1.000,and 0.917,and the AUC in the test set were 0.894,0.692,0.456,0.678,0.753,0.650,and 0.650,respectively.The perineural invasion group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.864,0.794,1.000,1.000,1.000,1.000,and 0.866,and the AUC in the test set were 0.861,0.706,0.700,0.672,0.731,0.667,and 0.678,respectively.Conclusion Based on venous phase CT radiomics features combined with machine learning methods,it is feasible to predict lymphovascu-lar and perineural invasion of gastric cancer preoperatively.Among the variousmachine learning methods,SVM shows the best predictive performance for lymphovascular and perineural invasion in patient with gastric cancer.

PPG(photoplethysmography)holds significant application value in wearable and intelligent health devices.However,during the acquisition process,PPG signals can generate motion artifacts due to inevitable coupling motion,which diminishes signal quality.In response to the challenge of real-time detection of motion artifacts in PPG signals,this study analyzed the generation and significant features of PPG signal interference.Seven features were extracted from the pulse interval data,and those exhibiting notable changes were filtered using the dual-sample Kolmogorov-Smirnov test.The real-time detection of motion artifacts in PPG signals was ultimately based on decision trees.In the experimental phase,PPG signal data from 20 college students were collected to formulate the experimental dataset.The experimental results demonstrate that the proposed method achieves an average accuracy of(94.07±1.14)%,outperforming commonly used motion artifact detection algorithms in terms of accuracy and real-time performance.

Objective To explore the plasma-activated medium(PAM)produced by low temperature plasma(LTP)on the proliferation and angiogenesis of human umbilical vein endothelial cells(HUVECs)so as to provide theoretical basis for the future use of PAM to promote wound healing and inhibit tumor angiogenesis.Methods HUVECs were selected as the in vitro research model.The PAM-containing medium after LTP treatment for different time points(0 s,15 s,30 s,45 s,60 s,and 75 s)was used for intervention.The influence of PAM on HUVECs viability was assessed using the MTT assay and cell cycle analysis.The effects of PAM on angiogenesis were examined through angiogenesis experiments.Intracellular levels of reactive oxygen species(ROS)were measured using fluorescence probes.A melanoma mouse model was established,and CD31 expression was detected by immunohistochemistry.Results As the treatment time increased,the intracellular levels of ROS also elevated.PAM derived from LTP exhibited a bidirectional effect on angiogenesis in HUVECs.Compared to the control group(0 s),low-dose treatments(15 s and 30 s)enhanced HUVECs viability,while high-dose treatments(45 s,60 s,and 75 s)significantly decreased cell viability(P＜0.05).The proportion of HUVECs in the S phase was significantly increased in the PAM-15 s and PAM-30 s groups,but markedly decreased in the PAM-45 s,PAM-60 s,and PAM-75 s groups,with statistically significant differences(P＜0.05).The HUVECs tube formation ability was enhanced in the 15 s and 30 s PAM groups,but diminished in the PAM-45 s,PAM-60 s,and PAM-75 s groups,characterized by the decreased numbers of vascular nodes,intersections,meshes,and branching points(P＜0.05).After PAM treatment in the melanoma mouse model,the control group exhibited widespread distribution of CD31 in tumor tissue,while the PAM-5 min and PAM-10 min groups displayed reduced distribution of CD31.Conclusion Short-term exposure to PAM enhances HUVECs proliferation and angiogenesis,whereas prolonged exposure suppresses cell viability and inhibits angiogenesis.

Objective To explore the mechanism of Gualou Xiebai Baijiu Decoction(GXB)in improving atherosclerosis(AS)in mice by regulating the gut microbiota(GM)and its metabolites.Methods Thirty-two male ApoE-/-mice were divided randomly into a Blank group,Model group,atorvastatin(Ato)group,and GXB group(n=8 mice per group).AS was established in all mice,except the Blank group,and the respective treatments were administered by gavage.Aortic plaques were detected by Oil red O staining and pathological changes in aortic tissue were detected by hematoxylin and eosin staining.The GM was analyzed using 16S rRNA gene sequencing technology,and mouse GM metabolites,including trimethylamine oxide(TMAO),short-chain fatty acids(SCFA),and serum levels of triglycerides(TG),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),and nitric oxide(NO)were determined.Results Compared with the Blank group,mice in the Model and Ato groups showed an increase in AS plaque area(P＜0.05).Serum levels of TG,TC,and LDL-C were increased(P＜0.001)while levels of HDL-C and NO were decreased(P＜0.01,P＜0.001)in the Model group compared with the Blank group.The plaque area was decreased(P＜0.05),serum levels of TG,TC,and LDL-C were decreased(P＜0.001),and NO levels were increased(P＜0.01)in the Ato and GXB groups,while HDL-C levels were increased in the GXB group(P＜0.05)compared with the Model group.Plaque area was decreased(P＜0.05)and the NO level was increased(P＜0.01)in the GXB group compared with the Ato group.A total of 6345 characteristic sequences were obtained from 16S rRNA analysis.α-Diversity analysis indicated that GXB reduced the richness of the GM in AS mice(P＜0.001)and improved its uniformity(P＜0.05).β-Diversity analysis suggested that the microbial community structure in the GXB group was similar to that in the Blank group.The abundance of microbial communities differed among the groups at the phylum and genus levels.At the phylum level,the abundance of Proteobacteria was increased(P＜0.01)in AS mice,while GXB intervention reduced the abundance of Proteobacteria(P＜0.01)and increased the abundance of Verrucomimicrobiota(P＜0.05).At the genus level,GXB effectively increased the abundance of Akkermansia(P＜0.05).SCFAs were significantly increased(P＜0.01)and TMAO levels were significantly decreased(P＜0.01)in the GXB group compared with the Model group.Conclusions GXB can regulate the intestinal flora and intestinal flora metabolites SCFA and TMAO to improve AS.Akkermansia may be a key bacterial genus of the gut microbiota through which GXB may improve AS.

Hematopoietic stem cell transplantation(HSCT)patients may develop cytomegalovirus encephalitis,a rare but life-threatening complication with a mortality rate exceeding 90％.Cytomegalovirus encephalitis is rare and does not have specific clinical manifestations,which makes clinical diagnosis more difficult.This article reports a pediatric case of acute lymphoblastic leukemia(ALL)with early onset(81 d after transplantation)cytomegalovirus encephalitis after HSCT,with palpitations presenting as the initial symptom.The patient exhibited rapid clinical progression and the treatment was ineffective.This case report can help clinicians gain further understanding of the high-risk factors and clinical features of central nervous system complications following HSCT.When encountering unexplained tachycardia,clinicians should still be vigilant for the possibility of intracranial infection even in the absence of typical neurological manifestations associated with encephalitis.Early recognition and management may help improve the outcomes of such patients.

Humans ; Child ; Lymphoma, Large-Cell, Anaplastic ; Neoplasm Recurrence, Local ; Prognosis ; Hodgkin Disease

The growth and development of skeletal muscle is an important factor affecting pork production and quality, which is elaborately regulated by many genetic and nutritional factors. MicroRNA (miRNA) is a non-coding RNA with a length of about 22 nt, which binds to the 3'UTR sequence of the mRNA of the target genes, and consequently regulates its post-transcriptional expression level. In recent years, a large number of studies have shown that miRNAs are involved in various life processes such as growth and development, reproduction, and diseases. The role of miRNAs in the regulation of porcine skeletal muscle development was reviewed, with the hope to provide a reference for the genetic improvement of pigs.
Swine ; Animals ; MicroRNAs/metabolism* ; Muscle, Skeletal/metabolism* ; Muscle Development/genetics*