This study aims to investigate the effects of aflatoxin B1(AFB1)on the infection and replication of porcine delta coronavirus(PDCoV).Porcine small intestinal epithelial cells(IPEC-J2),porcine kidney cells(LLC-PK)and swine testis cells(ST)were used as models,and CCK-8 method was used to detect the safe mass concentration range of AFB1 on the three cell lines.Each cell line was divided into the blank control group,AFB1 treatment group,PDCoV treatment group and AFB1 and the PDCoV co-treatment group.The cells were treated with safe mass concentration of AFB1 for 12 h,and then treated with PDCoV for 20 h.Total RNA and total protein were extrac-ted from the cells.The effects of AFB1 on PDCoV infection and replication were detected by qPCR,Western blot and cell immunofluorescence tests.The results showed that compared with the PDCoV treatment group,the mRNA and N protein of viral S protein in the AFB1 and PDCoV co-treatment group were significantly increased(P＜0.05),and a significantly higher fluorescence of PDCoV N protein is also visibly present in the co-treatment group,and there was a significant difference between the two groups.The results showed that AFB1 could promote the infection and replication of PDCoV.It provides important data that AFB1 can promote the infection replication of PDCoV and provides a new idea for the prevention and treatment of PDCoV.

Objective:To develop an artificial intelligence-based model for automated recognition of serum indices using machine vision and deep learning.Methods:This study was a cross-sectional study.Serum sample images were collected fromWest China Hospital of Sichuan University from September 21, 2020 to January 20, 2023 using the imaging device of the fully automated sample pre-processing system. A computer random number generator was used to randomly select one whole hour each day, and all serum sample images processed within that hour were included. After excluding samples with unqualified images and missing serum index results, a total of 5, 534 samples were included. These were divided into a training set and a test set in an 8∶2 ratio using Python random shuffle function, and 4, 458 samples were in the training set and 1, 076 samples were in the test set. After manual inspection, the serum regions were annotated using the MATLAB Image Labeler tool and converted into YOLO format, and a YOLO v5-based model was constructed for automatic serum region extraction. The actual values of lipemia index (L-index), hemolysis index (H-index), and icterus index (I-index) were measured using the automatic biochemical analyzerwith matched reagent kits. A serum index regression model was constructed based on the MobileNet v2 network using the PyTorch 1.10.0 framework. The grading performance of the model was evaluated using accuracy, Kappa coefficient, sensitivity, specificity, positive predictive value, and negative predictive value. Regression performance was assessed using root mean square error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and Bland-Altman analysis.Results:The overall accuracy rates for grading L-index, H-index, and I-index were 98.88%, 95.26%, and 92.47%, respectively, with Kappa coefficients of 0.72, 0.72, and 0.59. For L-index, MAE was 5.11, RMSE was 9.77, and R2 was 0.78. For H-index, MAE was 5.18, RMSE was 8.99, and R2 was 0.89. For I-index, MAE was 1.13, RMSE was 3.01, and R2 was 0.71. Bland-Altman analysis showed that 95.5%, 95.1%, and 95.7% of the data points fell within the consistency intervals for L-index, H-index, and I-index, respectively.Conclusion:The study developed an artificial intelligence-based serum index regression modelto estimate serum indices with high efficiency and accuracy. It shows great potential for reducing laboratory costs, improving clinical testing efficiency, and promoting intelligent development in laboratory medicine.

Objective:To analyze the gene mutations of 18 patients with plasminogen (PLG) deficiency and to explore the clinical manifestations caused by PLG gene mutations.Methods:This study belongs to observational study-descriptive study: case series.Clinical data from 18 patients with PLG deficiency admitted to the First Affiliated Hospital of Wenzhou Medical University from January 1st, 2021 to May 31st, 2025 were collected. The age ranged from 16 to 70 years old, with an average of 48 years old. Among them, there were 10 males and 8 females. Anticoagulant blood samples were taken before treatment to measure and analyze plasminogen activity (PLG:A), plasminogen antigen (PLG:Ag), protein C activity, protein S activity, fibrinogen, antithrombin activity, D-dimer, and fibrin (fibrinogen) degradation products. PCR direct sequencing was used to analyze the 19 exons and flanking sequences of the PLG gene in these patients, and reverse sequencing was employed to verify the suspected mutations.Results:For the 18 patients, cranial MRI showed fresh cerebral infarction lesions, and PLG:A levels ranged from 19% to 67%, while no other lab indicators showed significant abnormalities, all presenting with dysplasminogenemia. Genetic analysis revealed five types of PLG gene mutations: c.1858G>A (p.Ala620Thr) heterozygous mutation, c.1858G>A (p.Ala620Thr) homozygous mutation, c.398A>G (p.His133Arg) heterozygous mutation, c.2108G>A (p.Gly703Asp) heterozygous mutation, and c.1702G>A (p.Gly568Arg) heterozygous mutation. Among the above, the c.1858G>A heterozygous mutation was the most common, and c.398A>G and c.1702G>A were identified for the first time.Conclusion:Patients with plasminogen deficiency caused by PLG gene defects are prone to occur cerebral infarction events, which may be related to impaired fibrinolytic function due to PLG gene mutations.

Objective:Explore the protective effect and mechanism of methyl badosolone (CDDO-Me) on rats with traumatic brain injury (TBI).Methods:A total of 72 SPF-grade SD rats aged 8 weeks were randomly (random number) divided into 4 groups ( n=18) using the random number table method: Sham, TBI, TBI+Vehicle, and TBI+CDDO-Me. The rat TBI model was established using the hydraulic impact head injury method. The TBI+CDDO-Me group was administered CDDO-Me (dissolved in 1% DMSO, at a dose of 10 mg/kg) via intraperitoneal injection 30 minutes after modeling, twice a day for a total of 3 days. On the third day after modeling, brain tissue was collected for pathological and water content detection after mNSS scoring. Immunofluorescence double staining was used to detect the expression of nuclear factor erythroid2 related factor 2 (Nrf2); immunohistochemical staining was used to detect the expression of ionized calcium binding adapter molecule-1(Iba-1); ELISA was used to detect the levels of tumor necrosis factor-α(TNF-α), interleukin (IL)-1β, and IL-18 in serum; kits were used to detect the levels of malondialdehyde (MDA) and reactive oxygen species (ROS); Western blot was used to detect the expression of the Nrf2 pathway, B-cell lymphoma-2 (BCL-2), and BCL-2 associated X protein (BAX). Results:(1) Compared with the Sham group, the mNSS scores and water content in the injured cortex of the TBI group rats were significantly increased (both P<0.05), and both significantly decreased after CDDO-Me intervention (both P<0.05). (2) Compared with the Sham group, the proportion of Nissl-stained injured neurons and apoptotic positive cells in the TBI group rats were significantly increased (both P<0.05), and both significantly decreased after CDDO-Me intervention (both P<0.05), accompanied by a decrease in BAX protein expression and upregulation of BCL-2 protein expression (both P<0.05). (3) Immunofluorescence and Western blot results showed that compared with the Sham group, the expression of total Nrf2, nuclear Nrf2, HO-1, and NQO1 proteins in the TBI group were all increased (all P<0.05), and the increase was more significant after CDDO-Me intervention (all P<0.05). (4) Immunohistochemistry and ELISA results showed that compared with the Sham group, the levels of MDA, ROS, Iba-1 in brain tissue and the levels of TNF-α, IL-1β, and IL-18 in serum in the TBI group rats were all significantly increased (all P<0.05), and all significantly decreased after CDDO-Me intervention (all P<0.05). Conclusion:CDDO-Me helps to reduce oxidative stress and inflammatory responses in TBI rats, and the mechanism may be related to the activation of the Nrf2/HO-1 antioxidant stress pathway.

To address the current issues of data imbalance and scarcity in photoplethysmography (PPG) data for type 2 diabetes mellitus (T2DM) prediction, this study proposes an improved conditional Wasserstein generative adversarial network with gradient penalty (CWGAN-GP). The algorithm integrated gated recurrent unit (GRU) networks and self-attention mechanisms to construct a generator, aiming to produce high-quality PPG signals. Various data augmentation methods, including the improved CWGAN-GP, were employed to expand the PPG dataset, and multiple classifiers were applied for T2DM prediction analysis. Experimental results showed that the model trained on data generated by the improved CWGAN-GP achieved the optimal prediction performance. The highest accuracy reached 0.895 0, and compared with other data enhancement methods, this approach exhibited significant advantages in terms of precision and F1-score. The generated data notably enhances the accuracy and generalization ability of T2DM prediction models, providing a more reliable technical basis for non-invasive early T2DM screening based on PPG signals.
Photoplethysmography/methods* ; Diabetes Mellitus, Type 2/diagnosis* ; Humans ; Algorithms ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Prediction Algorithms

Objective:This study aimed to investigate the morphological and functional changes of jejunal and ileal epithelium in aged mice using 3D organoid culture, to elucidate the age-related alterations in epithelial function across different regions of the intestine.Methods:The C57BL/6J male mice were divided into two groups: a young group(5 months)and an old group(24 months).Epithelial tissues from the jejunum and ileum were harvested, and the jejunal and ileal epithelial crypt units were separated for 3D organoid culture in vitro.Histological analyses, including H&E and PAS staining, immunofluorescence staining, and quantitative PCR, were employed to assess changes in crypt depth, villi length, goblet cell numbers, inflammation, and mucosal barrier function in the aged mice.Results:With aging, the crypt of jejunum became deeper and the ratio of villi length to crypt depth decreased, while the villi length of ileum became longer and the ratio of villi length to crypt depth increased.The rate of organoid formation in jejunal and ileal crypts and the number of crypto-like regions of organoid formation were significantly decreased in the aged mice, along with a decrease in the expression of the stem cell proliferation marker Ki67.The inflammation of the jejunal and ileal epithelium increased in the aged mice, and the mechanical barrier function of the epithelial mucosa was enhanced.Conclusions:In aged mice, both the jejunal and ileal epithelium exhibited similar changes in stem cell proliferation, inflammation, and mucosal mechanical barrier function, though the changes in villus length and crypt depth ratio were opposite.This study provides a foundation for further investigation of the differences in jejunal and ileal epithelial function and its potential mechanisms during aging.

Objective:To investigate the molecular pathogenic mechanism of venous thrombosis caused by heterozygous missense mutations in two protein C (PROC) genes through laboratory phenotype analysis, genetic mutation analysis, and in vitro expression experiments.Methods:Two probands presented with venous thromboembolism at the First Affiliated Hospital of Wenzhou Medical University. Clinical data and blood samples were collected from the probands and their family members to evaluate the plasma protein C (PC) activity (PC∶A), PC antigen (PC∶Ag) levels, and other relevant coagulation parameters. The anticoagulant capacity was assessed using the thrombin generation test (TGT). The mutation sites of the PROC gene were identified using direct DNA sequencing. Bioinformatics software was used to analyze the conservation and pathogenicity of the mutated gene. PyMOL software was used for the analysis of the protein three-dimensional models and interactions between mutated amino acids. Wild-type and two mutant expression vectors were constructed and HEK293T cells were transiently transfected. Total cellular RNA was extracted from positively transfected cells to investigate the transcriptional levels of the mutant PROC gene. Enzyme-linked immunosorbent assay, Western blot, and cellular immunofluorescence assays were used to investigate the translation levels of the mutant PROC protein.Results:Probands 1 and 2 exhibited PC∶A levels of 35% and 40% and PC∶Ag levels of 44% and 39%, with increasing D-dimer levels to 4.42 mg/L and 0.83 mg/L, respectively. Meanwhile, other coagulation parameters revealed no significant abnormalities. TGT demonstrated impaired anticoagulant function in both proband witnesses and their familial PC carriers. Sequencing analysis revealed heterozygous missense mutations c. 833T>C (p. Leu278Pro) in proband 1 and c. 1330T>C (p. Trp444Arg) in proband 2 within exon 9 of the PROC gene. Conservation analysis revealed that Leu278 and Trp444 were highly conserved across homologous species. Pathogenicity analysis indicated that both p. Leu278Pro and p. Trp444Arg mutations are deleterious. Protein modeling analysis demonstrated that both mutations induce structural alterations in the protein. In vitro expression experiments revealed that compared with the wild-type, both p. Leu278Pro and p. Trp444Arg mutations showed no significant differences in the mRNA expression level of the PC protein. However, both mutations caused significantly lower PC∶Ag content and protein expression levels in the cell culture supernatant compared with the wild-type, whereas higher levels were observed in the cell culture lysate. This indicates the association of both mutations with the secretion function of the PC protein.Conclusion:The heterozygous missense mutations p. Leu278Pro and p. Trp444Arg in exon 9 of the PROC gene in both probands are associated with decreased PC levels.

This study aims to investigate the effects of aflatoxin B1(AFB1)on the infection and replication of porcine delta coronavirus(PDCoV).Porcine small intestinal epithelial cells(IPEC-J2),porcine kidney cells(LLC-PK)and swine testis cells(ST)were used as models,and CCK-8 method was used to detect the safe mass concentration range of AFB1 on the three cell lines.Each cell line was divided into the blank control group,AFB1 treatment group,PDCoV treatment group and AFB1 and the PDCoV co-treatment group.The cells were treated with safe mass concentration of AFB1 for 12 h,and then treated with PDCoV for 20 h.Total RNA and total protein were extrac-ted from the cells.The effects of AFB1 on PDCoV infection and replication were detected by qPCR,Western blot and cell immunofluorescence tests.The results showed that compared with the PDCoV treatment group,the mRNA and N protein of viral S protein in the AFB1 and PDCoV co-treatment group were significantly increased(P＜0.05),and a significantly higher fluorescence of PDCoV N protein is also visibly present in the co-treatment group,and there was a significant difference between the two groups.The results showed that AFB1 could promote the infection and replication of PDCoV.It provides important data that AFB1 can promote the infection replication of PDCoV and provides a new idea for the prevention and treatment of PDCoV.

Objective:To investigate the current status of teaching behavior of clinical nursing teachers and explore the mediation effect of organizational commitment between their work engagement and teaching behavior.Methods:This study included a total of 1 736 clinical nursing teachers who worked in grade A tertiary hospitals in Beijing City, Shanghai City, Henan Province, Hubei Province, Hebei Province, and Chongqing City from May 2022 to November 2022. Data were collected using a general information questionnaire, the Effective Teaching Behavior Scale, the Work Engagement Scale, and the Organizational Commitment Scale. Statistical description and correlation analysis were performed using SPSS 25.0 software, and mediation effect was analyzed using AMOS 25.0 software.Results:The total mean score of effective teaching behavior of 1 599 clinical nursing teachers was (4.19±0.66), the total mean score of work engagement was (5.09±1.36), and the total mean score of organizational commitment was (3.93±0.72). Pearson correlation analysis showed that work engagement and organizational commitment were positively correlated with teaching behavior ( r=0.560, 0.519, both P<0.01). Organizational commitment partially mediated the relationship between work engagement and teaching behavior, with a mediation effect value of 0.27, and the mediation effect accounted for 49.10% of the total effect. Conclusions:Work engagement is a direct predictor of the teaching behavior of clinical nursing teachers, and organizational commitment partially mediates the relationship between work engagement and teaching behavior. Administrators can promote the work engagement of clinical nursing teachers by adopting effective interventions to increase the level of organizational commitment, which in turn enhances teaching behavior.