ObjectiveTo explore the potential mechanism of Changji'an Formula （肠激安方） on intestinal permeability for rats with diarrhea-predominant irritable bowel syndrome （IBS-D） of liver depression and spleen deficiency syndrome by the microRNA-29b-3p （miR-29b-3p）/tumor necrosis factor receptor-associated factor 3 （TRAF3）/nuclear factor-κB （NF-κB）/myosin light chain kinase （MLCK） axis. MethodsTwenty-four 1-day-old male Sprague-Dawley （SD） suckling rats were selected， and the IBS-D rat model of liver depression and spleen deficiency syndrome was established via a three-factor method，i.e. maternal separation plus acetic acid stimulation and restraint stress， for 6 consecutive weeks. After successful modeling， the rats were randomly divided into a model group， pinaverium bromide group， low-dose and high-dose Changji'an Formula groups， with 6 rats in each group. Another 6 age-matched non-modeled SD rats were included as the control group. The low-dose and high-dose Changji'an Formula groups were given intragastric administration of Changji'an Formula solution at doses of 16.74 g/（kg·d） and 33.48 g/（kg·d）， respectively； the pinaverium bromide group received intragastric administration of pinaverium bromide tablets at 0.018 g/（kg·d）； and the control group was given distilled water at 10 ml/（kg·d） via intragastric gavage. The intervention was conducted once daily for 14 consecutive days. After the gavage treatment， the fecal water content of rats in each group was measured. Enzyme-linked immunosorbent assay （ELISA） was used to detect the serum levels of intestinal permeability indicators， including D-lactic acid （D-LA）， diamine oxidase （DAO）， and lipopolysaccharide （LPS）. Quantitative real-time polymerase chain reaction （qRT-PCR） was conducted to determine the mRNA expression levels of miR-29b-3p， TRAF3， tumor necrosis factor-α （TNF-α）， p65， p50， and MLCK in colonic tissues. Western Blot analysis was employed to detect the protein expression levels of TRAF3， TNF-α， p65， phosphorylated p65 （p-p65）， MLCK， myosin light chain （MLC）， phosphorylated MLC （p-MLC）， and tight junction proteins including junctional adhesion molecule-A （JAM-A）， Occludin， and Claudin-1 in colonic tissues. ResultsCompared with the control group， the model group exhibited significantly increased fecal water content and serum levels of D-LA， DAO， and LPS， along with decreased protein expression levels of JAM-A， Occludin， and Claudin-1 in colonic tissues （P＜0.05 or P＜0.01）. Additionally， in the model group， the mRNA expression levels of miR-29b-3p， TNF-α， p65， p50， and MLCK in colonic tissues were up-regulated， while the mRNA and protein expression levels of TRAF3 were down-regulated； the protein levels of TNF-α and MLCK， as well as the ratios of p-p65/p65 and p-MLC/MLC， significantly elevated （P＜0.01）. Compared with the model group， all treatment groups showed reduced fecal water content and serum levels of D-LA， DAO， and LPS， along with down-regulated mRNA expression levels of miR-29b-3p， TNF-α， p65， p50， and MLCK， and up-regulated TRAF3 mRNA expression in colonic tissues. Moreover， the pinaverium bromide group and high-dose Changji'an Formula group presented increased protein levels of Occludin， Claudin-1， and TRAF3， as well as decreased protein levels of TNF-α and MLCK， and reduced ratios of p-p65/p65 and p-MLC/MLC in colonic tissues （P＜0.05 or P＜0.01）. Compared with the low-dose Changji'an Formula group， the high-dose group had lower fecal water content and serum levels of DAO and LPS （P＜0.01）. In comparison with the pinaverium bromide group， the high-dose Changji'an Formula group showed a significant decrease in serum DAO level （P＜0.01）. ConclusionsChangji'an Formula can reduce intestinal permeability and restore intestinal barrier function in IBS-D rats of liver depression and spleen deficiency syndrome by regulating the miR-29b-3p/TRAF3/NF-κB/MLCK axis.

OBJECTIVES: To investigate the chain mediating role of family care and emotional management in the relationship between social support and anxiety among rural primary school students. METHODS: A questionnaire survey was conducted among students in grades 4 to 6 from four counties in Hunan Province. Data were collected using the Social Support Rating Scale, Family Care Index Scale, Emotional Intelligence Scale, and Generalized Anxiety Disorder -7. Logistic regression analysis was used to explore the influencing factors of anxiety symptoms. Mediation analysis was conducted to assess the chain mediating effects of family care and emotional management between social support and anxiety. RESULTS: A total of 4 141 questionnaires were distributed, with 3 874 valid responses (effective response rate: 93.55%). The prevalence rate of anxiety symptoms among these students was 9.32% (95%CI: 8.40%-10.23%). Significant differences were observed in the prevalence rates of anxiety symptoms among groups with different levels of social support, family functioning, and emotional management ability (P<0.05). The total indirect effect of social support on anxiety symptoms via family care and emotional management was significant (β=-0.137, 95%CI: -0.167 to -0.109), and the direct effect of social support on anxiety symptoms remained significant (P<0.05). Family care and emotional management served as significant chain mediators in the relationship between social support and anxiety symptoms (β=-0.025,95%CI:-0.032 to -0.018), accounting for 14.5% of the total effect. CONCLUSIONS Social support can directly affect anxiety symptoms among rural primary school students and can also indirectly influence anxiety symptoms through the chain mediating effects of family care and emotional management. These findings provide scientific evidence for the prevention of anxiety in primary school students from multiple perspectives.
Humans ; Female ; Male ; Social Support ; Anxiety/etiology* ; Child ; Students/psychology* ; Emotions ; Logistic Models

Hepatocellular carcinoma (HCC) expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming. Aldolase A (ALDOA) plays a prominent role in glycolysis; however, little is known about its role in HCC development. In the present study, we aim to explore how ALDOA is involved in HCC proliferation. HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout, which is consistent with ALDOA overexpression encouraging HCC proliferation. Mechanistically, ALDOA knockout partially limits the glycolytic flux in HCC cells. Meanwhile, ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase; ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function. A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun, and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells. In HCC patients, the expression level of ALDOA was correlated with the phosphorylation level of c-Jun (Thr93) and poor prognosis. Remarkably, hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models, and the knockdown of A ldoa strikingly decreased HCC development in vivo. Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription, opening additional avenues for anti-cancer therapies.

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.

AIM:To establish a cell model of visceral hypersensitivity and nerve hyperplasia in irritable bowel syndrome(IBS)by conducting an in vitro co-culture of mouse P815 mast cells and N2a nerve cells and explore its possible mechanism.METHODS:Enzyme-linked immunosorbent assay(ELISA)with three replicates was used to confirm the C48/80-induced P815 degranulation.The length of neurites was observed under bright field microscopy to determine the number of differentiated neurons,thereby selecting the concentration of retinoic acid(RA)for stimulating the differentia-tion of N2a cells,with four replicates.A co-culture system of P815 and N2a cells was established using Transwell cham-bers with four replicates.The following groups were established:N2a cells cultured alone,N2a cells co-cultured with P815 cells,N2a cells co-cultured with P815 cells plus C48/80,and N2a cells plus RA group.After co-culturing,the num-ber of differentiated N2a cells was observed under bright field.The expression of nerve growth factor(NGF),tyrosine ki-nase receptor A(TRKA),growth-associated protein-43(GAP43),neuron-specific enolase(NSE),synapsin(SYN),and postsynaptic density protein-95(PSD-95)at both protein and gene levels in N2a cells was detected using Western blot and polymerase chain reaction(PCR),with four replicates.RESULTS:The best condition for N2a differentiation was stimulation with 10 μmol/L RA for 24 hours,whereas the best condition for degranulation was stimulation of P815 cells with 20 mg/L C48/80 for 24 hours.Compared with N2a cells cultured alone,the differentiation ratio of the N2a+P815+C48/80 and N2a+RA groups was significantly increased(P<0.01),and the protein and mRNA expressions of NGF,TRKA,GAP43,NSE,SYN,and PSD-95 were significantly increased(P<0.05).CONCLUSION:Our results revealed that mast cell degranulation enhances the level of nerve hyperplasia in enteric nerve cells and promotes changes in nerve structure and function.Synaptic remodeling regulated by abnormal expression of key proteins such as NGF,TRKA,and GAP43 is involved in the nerve hyperplasia induced by mast cell degranulation.

Hepatocellular carcinoma(HCC)expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming.Aldolase A(ALDOA)plays a prominent role in glycolysis;however,little is known about its role in HCC development.In the present study,we aim to explore how ALDOA is involved in HCC proliferation.HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout,which is consistent with ALDOA overexpression encouraging HCC prolifera-tion.Mechanistically,ALDOA knockout partially limits the glycolytic flux in HCC cells.Meanwhile,ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase;ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function.A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun,and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells.In HCC patients,the expression level of ALDOA was correlated with the phosphorylation level of c-Jun(Thr93)and poor prognosis.Remarkably,hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models,and the knockdown of Aldoa strikingly decreased HCC development in vivo.Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription,opening additional avenues for anti-cancer therapies.

Objective To propose a classification model based on a pseudo-bag strategy and feature adjustment for whole slide imaging in pathology.Methods A pseudo-bag generator was constructed to divide a parent bag into 3 pseudo-bags for increasing the number of training bags.Then,a pseudo-bag learning method based on Nystr?m-based algorithm for approximating self-attention and a selective feature fusion method were employed to process the pseudo-bags.Specifically,the pseudo-bag learning method based on Nystr?m-based algorithm for approximating self-attention reduced computational complexity through an improved multi-head self-attention mechanism while deeply extracting instance features to obtain pseudo-bag classification predictions,thereby enhancing pseudo-bag classification accuracy;and the selective feature fusion method refined pseudo-bag features by filtering and extracting relevant instances.Finally,the model adjusted bag features by extracting confounding factors to avoid interference from irrelevant information and further improve classification accuracy.Results The proposed model was evaluated on two datasets(CAMELYON-16 and TCGA-NSCLC)and compared with 10 other methods,and the results demonstrated that the proposed model achieved the best performance.The proposed method reached an accuracy of 0.943 on the CAMELYON-16 dataset and 0.906 on the TCGA-NSCLC dataset.Conclusion The proposed model can significantly improve the accuracy of whole-slide pathological image classification by effectively mitigating the overfitting and avoiding interference from irrelevant information.

Objective To evaluate the prognosis and safety of patients with advanced pancreatic ductal adenocarcinoma(PDAC)who received I-125 seed implantation in treatment with anti-PD-1 monoclonal antibody+chemotherapy.Methods A retrospective analysis was conducted on patients with stage Ⅳ metastatic PDAC who received anti-PD-1 combined chemotherapy treatment at Yixing Hospital,Jiangsu University from Jan 2021 to Jun 2023.Patients were divided into two groups based on whether they received I-125 seed implantation:the I-125 seed implantation+anti-PD-1 monoclonal antibody+Chemotherapy group(IPC group)and the anti-PD-1 monoclonal antibody+chemotherapy group(PC group).The follow-up period ranged from 2 to 24 months,with a median follow-up time of 9 months.The prognosis of patients was analysed in combination with peripheral blood biomarkers.The peripheral lymphocyte subsets of patients in different treatment groups were preliminarily analysed by flow cytometry.Results A total of 13 patients were included,with 5 in the IPC group and 8 in the PC group.Progression-free survival(PFS)and overall survival(OS)in the IPC group were significantly longer than those in the PC group.The treatment in the IPC group was relatively safe,adverse reactions were controllable.The neutrophil-lymphocyte ratio(NLR)and CD4/CD8 ratio indicated that the prognosis of the IPC patients was better.The levels of regulatory T cells(Treg)and active regulatory T cells(aTreg)cells in the IPC patients were reduced after treatment compared with those of the PC patients.Conclusion The addition of I-125 seed implantation can improve the prognosis of patients with advanced PDAC who receive anti-PD-1 monoclonal antibody+chemotherapy,the post-treatment levels of patients'circulating aTreg cells are reduced,and the combination therapy has good safety.

A VLi-net based cell nucleus segmentation method integrating convolutional neural networks(CNN)and Vision Transformer(ViT)is proposed to address the limitation that the U-Net with CNN as its backbone is only proficient in capturing local features and has a restricted receptive field.Firstly,to mitigate challenges such as high cost of data annotation and insufficient annotated data,text annotations are introduced to enhance the network's understanding of image information.Secondly,to improve the segmentation performance of VLi-net,ViT and CNN are combined to fully extract global and local features,with multi-receptive field convolution features incorporating into the ViT structure for effectively mitigating the issues of limited local information interaction and single feature representation in ViT.Finally,an interactive fusion module(ViFusion)is used to efficiently fuse the multi-level features from the CNN and ViT branches.Experimental results show that VLi-net achieves a Dice coefficient of 80.85%and a mean intersection over union(MIoU)of 66.83%on the MoNuSeg dataset,obtains a Dice coefficient of 80.53%and a MIoU of 67.54%on the DSB-2018 dataset,and has a Dice coefficient of 86.87%and a MIoU of 77.44%on the TNBC dataset.These findings confirm that VLi-net outperforms other methods across multiple experimental metrics.