ObjectiveTo develop a predictive model and application for spontaneous passage of common bile duct stones using automated machine learning algorithms given the complexity of treatment decision-making for patients with common bile duct stones， and to reduce unnecessary endoscopic retrograde cholangiopancreatography （ERCP） procedures. MethodsA retrospective analysis was performed for the data of 835 patients who were scheduled for ERCP after a confirmed diagnosis of common bile duct stones based on imaging techniques in Changshu First People’s Hospital （dataset 1） and Changshu Traditional Chinese Medicine Hospital （dataset 2）. The dataset 1 was used for the training and internal validation of the machine learning model and the development of an application， and the dataset 2 was used for external testing. A total of 22 potential predictive variables were included for the establishment and internal validation of the LASSO regression model and various automated machine learning models. The area under the receiver operating characteristic curve （AUC）， sensitivity， specificity， and accuracy were used to assess the performance of models and identify the best model. Feature importance plots， force plots， and SHAP plots were used to interpret the model. The Python Dash library and the best model were used to develop a web application， and external testing was conducted using the dataset 2. The Kolmogorov-Smirnov test was used to examine whether the data were normally distributed， and the Mann-Whitney U test was used for comparison between two groups， while the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. ResultsAmong the 835 patients included in the study， 152 （18.20%） experienced spontaneous stone passage. The LASSO model achieved an AUC of 0.875 in the training set （n=588） and 0.864 in the validation set （n=171）， and the top five predictive factors in terms of importance were solitary common bile duct stones， non-dilated common bile duct， diameter of common bile duct stones， a reduction in serum alkaline phosphatase （ALP）， and a reduction in gamma-glutamyl transpeptidase （GGT）. A total of 55 models were established using automated machine learning， among which the gradient boosting machine （GBM） model had the best performance， with an AUC of 0.891 （95% confidence interval： 0.859‍ ‍—‍ ‍0.927）， outperforming the extreme randomized tree mode， the deep learning model， the generalized linear model， and the distributed random forest model. The GBM model had an accuracy of 0.855， a sensitivity of 0.846， and a specificity of 0.857 in the test set （n=76）. The variable importance analysis showed that five factors had important influence on the prediction of spontaneous stone passage， i.e.， were solitary common bile duct stones， non-dilated common bile duct， a stone diameter of <8 mm， a reduction in serum ALP， and a reduction in GGT. The SHAP analysis of the GBM model showed a significant increase in the probability of spontaneous stone passage in patients with solitary common bile duct stones， non-dilated common bile duct， a stone diameter of <8 mm， and a reduction in serum ALP or GGT. ConclusionThe GBM model and application developed using automated machine learning algorithms exhibit excellent predictive performance and user-friendliness in predicting spontaneous stone passage in patients with common bile duct stones. This application can help avoid unnecessary ERCP procedures， thereby reducing surgical risks and healthcare costs.

Objective To explore the association of working hours and shift work with occupational stress, fatigue accumulation, and depressive symptoms among primary community medical workers. Methods A total of 516 medical workers from five community medical service centers in Pudong New Area, Shanghai City, were selected as the research subjects using the convenience sampling method. The Core Scale of Occupational Stress Measurement, the Workers' Fatigue Accumulation Self-diagnosis Questionnaire, and the Patient Health Questionnaire were used to assess research subjects' occupational stress, fatigue accumulation, and depressive symptoms, respectively. Results Long working hours (>40 hours/week) were reported by 50.4% of workers among the research subjects, while shift works were reported by 16.9% of the workers. The detection rates of occupational stress, fatigue accumulation, and depressive symptoms were 26.6%, 41.7%, and 30.8%, respectively. Multivariate logistic regression analysis result revealed that, after adjusting for confounders such as age, sex, and education level, longer working hours were associated with higher risks of occupational stress, fatigue accumulation, and depressive symptoms (all P<0.05). Shift workers in community medical centers had higher risks of occupational stress, fatigue accumulation, and depressive symptoms compared with non-shift workers (all P<0.05). Conclusion Long working hours and shift work could increase the risks of occupational stress, fatigue accumulation, and depressive symptoms among community medical workers.

Objective To investigate the regulatory role of the programmed cell death protein 1 (PD-1) and its ligand programmed cell death protein ligand 1 (PD-L1) signaling on the subtypes and functions of natural killer (NK) cells at the maternal-fetal interface during the second trimester in mice following Toxoplasma gondii infection during the first trimester. Methods Twelve 6- to 8-week-old female mice of the C57BL/6J strain were divided into a control group and an infection group, of 6 mice in each group. On the 6.5th day of pregnancy (Gd6.5), each pregnant mouse in the infection group was intraperitoneally injected with 150 tachyzoites of the Toxoplasma gondii PRU strain, while mice in the control group were injected with an equal volume of physiological saline. On the 12.5th day of pregnancy (Gd12.5), uterus and placenta tissues were sampled from pregnant mice for pathological observations, and the mRNA expression levels of PD-1, PD-L1, and tumor necrosis factor-α (TNF-α) were quantified in uterus and placenta tissues. The PD-1 and DX5 expression was measured on NK cells at the maternal-fetal interface using flow cytometry. In addition, the in vitro JEG-3 trophoblast cells and NK-92MI cells co-culture system was established as the control group, and the addition of T. gondii tachyzoites in the co-culture system served as the infection group. The PD-1, PD-L1, and DX5 mRNA expression was quantified in cells using real-time fluorescence quantitative reverse transcription PCR (RT-qPCR) assay, and the TNF-α concentration was measured in the cell culture supernatant using enzyme-linked immunosorbent assay (ELISA). Results On Gd12.5, clear and intact cellular structures of placental decidual tissues were seen in pregnant mice in the control group, with no remarkable abnormal changes found in the uterine columnar epithelial cells, and inflammatory cell infiltration and blood stasis at varying degrees were found in uterine and placental tissues from pregnant mice in the infection group. The relative PD-1, PD-L1, and TNF-α mRNA expression was (1.004 ± 0.004), (1.001 ± 0.001), and (1.001 ± 0.001) in uterine tissues from pregnant mice in the control group and (2.480 ± 0.720), (3.355 ± 0.920), and (2.391 ± 0.073) in the infection group, respectively. The relative PD-1, PD-L1, and TNF-α mRNA expression was (1.007 ± 0.010), (1.006 ± 0.006), and (1.001 ± 0.001) in the uterine tissues in the control group and (6.948 ± 1.918), (3.225 ± 1.034), and (1.536 ± 0.150) in the infection group, respectively. The relative PD-1, PD-L1, and TNF-α mRNA expression was higher in both the uterine (t = 3.55, 4.43 and 33.02, all P values < 0.05) and placental tissues (t = 5.36, 3.72 and 6.18, all P values < 0.05) in the infection group than in the control group. Flow cytometry showed that the proportions of PD-1⁺ NK cells, PD-1⁺ DX5⁺ NK cells, and DX5⁺ NK cells were (12.200 ± 1.082)%, (9.373 ± 7.728)%, and (44.000 ± 4.095)% in uterine tissues from pregnant mice in the control group, and (21.733 ± 1.630)%, (18.767 ± 1.242)%, and (73.367 ± 0.611)% in the infection group, respectively. The proportions of PD-1⁺ NK cells, PD-1⁺ DX5⁺ NK cells, and DX5⁺ NK cells were (1.100 ± 0.510)%, (2.277 ± 1.337)%, and (96.167 ± 2.831)% in placental tissues from mice in the control group, and (26.867 ± 9.722)%, (23.433 ± 6.983)%, and (82.467 ± 2.248)% in the infection group, respectively. The proportions of PD-1⁺ NK cells (t = 8.45, P < 0.05) and DX5⁺ NK cells (t = 12.29, P < 0.05) were higher in uterine tissues from pregnant mice in the infection group than in the control group, and no significant difference was seen in the proportion of PD-1⁺ DX5⁺ NK cells (Z = -1.09, P > 0.05). The proportions of PD-1⁺ NK cells (t = 4.58, P < 0.05) and PD-1⁺ DX5⁺ NK cells (t = 5.15, P < 0.05) were higher in placental tissues from pregnant mice in the infection group than in the control group, while the proportion of DX5⁺ NK cells was lower in the infection group than in the control group (t = -6.56, P < 0.05). RT-qPCR assay revealed that the relative PD-1, PD-L1, and DX5 mRNA expression was (1.010 ± 0.005), (1.002 ± 0.003), and (1.001 ± 0.001) in the JEG-3 cells and NK92MI cells co-culture system and (3.638 ± 1.258), (0.397 ± 0.158), and (4.267 ± 1.750) in the control group, and ELISA measured that the TNF-α concentration was higher in the cell culture supernatant in the infection group [(22.056 ± 3.205) pg/mL] than in the control group [(12.441 ± 0.001) pg/mL] (t = 5.20, P < 0.05). The PD-1(t = 3.62, P < 0.05) and DX5 mRNA expression (t = 3.23, P < 0.05) was higher in the infection group than in the control group, and the PD-L1 mRNA expression was lower in the infection group than in the control group (t = -6.63, P < 0.05). Conclusions Following T. gondii infection, both PD-L1 expression and PD-1 expression on DX5⁺ NK cells at the maternal-fetal interface are upregulated in mice during the second trimester; however, the proportion of DX5⁺ NK cells decreases. These findings suggest that PD-1/PD-L1 signaling may suppress NK cell functions by modulating DX5⁺ NK cell subsets.

Delirium is a common cause and complication of hospitalization in the elderly and is associated with higher risk of future dementia and progression of existing dementia, of which 70% is Alzheimer's disease (AD). AD and delirium, which are known to be aggravated by one another, represent significant societal challenges, especially in light of the absence of effective treatments. The intricate biological mechanisms have led to numerous clinical trial setbacks and likely contribute to the limited efficacy of existing therapeutics. Artificial intelligence (AI) presents a promising avenue for overcoming these hurdles by deploying algorithms to uncover hidden patterns across diverse data types. This review explores the pivotal role of AI in revolutionizing drug discovery for AD and delirium from target identification to the development of small molecule and protein-based therapies. Recent advances in deep learning, particularly in accurate protein structure prediction, are facilitating novel approaches to drug design and expediting the discovery pipeline for biological and small molecule therapeutics. This review concludes with an appraisal of current achievements and limitations, and touches on prospects for the use of AI in advancing drug discovery in AD and delirium, emphasizing its transformative potential in addressing these two and possibly other neurodegenerative conditions.

Objective:To observe the effects of Yiyuan moxibustion on bladder function and antioxidant level of spinal cord tissues in rats with urinary retention after spinal cord injury (SCI); To explore the mechanism of inhibition of ferroptosis in spinal cord neurons after SCI by Yiyuan moxibustion.Methods:Wistar female rats were divided into sham-operation group, model group, and Yiyuan moxibustion group according to random number table method, with 12 rats in each group. The modified Allen′s vertical percussion method was used to construct the model of urinary retention after SCI in T10 segment. The rats in the Yiyuan moxibustion group were moxibued at the Zhongji acupoint, Guanyuan acupoint, and Shenque acupoint for 20 min per day, and the intervention was continued for 2 weeks. Urodynamic test was used to observe the degree of urinary retention in rats; HE staining was used to observe the morphological changes of the injured spinal cord tissues; transmission electron microscopy was used to observe the mitochondrial ultrastructure of the spinal cord tissues; ferric ion kit was used to detect the ferric ion content of the spinal cord tissues; ELISA was used to detect the GSH and MDA contents of the spinal cord tissues of the rats; Western blot was used to measure the relative expressions of glutathione peroxidase 4 (GPX4) and solute carrier family 7 member 11 (SLC7A11) proteins in rat spinal cord tissue.Results:Compared with the model group, the basal and leakage point pressures of the bladder, and bladder compliance were significantly reduced in the Yiyuan moxibustion group ( P<0.05); the spinal cord tissue structure was restored and mitochondrial morphology improved; the levels of iron ions and MDA in spinal cord tissue decreased ( P<0.05), while the level of GSH increased ( P<0.05), and the relative expressions of GPX4 and SLC7A11 proteins increased ( P<0.05). Conclusion:Yiyuan moxibustion can improve bladder function in rats with urinary retention after SCI, and the mechanism may involve the initiation of antioxidant defense and reduction of lipid peroxidation in spinal cord neuronal cells, thus preventing the occurrence of ferroptosis and achieving the protection of neuronal cells.

Objective To explore the value of combined detection of serum mitogen-activated protein kinase 1(MAPK1)and lysyl oxidase-like protein 2(LOXL2)in early diagnosis of cervical cancer.Methods A total of 218 patients with cervical lesions were selected as study group(103 ca-ses in cervical cancer group,115 cases in benign tumor group).Additionally,100 patients with cer-vical intraepithelial neoplasia grade Ⅱ were selected as precancerous lesion group,and 79 healthy in-dividuals undergoing physical examinations during the same period were selected as control group.Se-rum levels of MAPK1 and LOXL2 were measured in each group.Pearson correlation analysis was used to evaluate the correlations of serum MAPK1 and LOXL2 levels in patients with cervical cancer.Logistic regression analysis was performed to screen influencing factors for the occurrence of cervical cancer.Receiver operating characteristic(ROC)curves were plotted to assess the diagnostic efficacy of serum MAPK1 and LOXL2 for cervical cancer.Results Serum MAPK1 and LOXL2 levels in the study group were higher than those in the precancerous lesion group and the control group,and those in the precancerous lesion group were higher than those in the control group,with statistically signif-icant differences(P＜0.05).The proportion of patients with high-risk human papillomavirus(HPV)infection and serum MAPK1 and LOXL2 levels in the cervical cancer group were higher than those in the benign tumor group,with statistically significant differences(P＜0.05).Serum MAPK1 and LOXL2 levels in patients with stage Ⅲ to Ⅳ cervical cancer were higher than those in patients with stage Ⅰ to Ⅱ cervical cancer,with statistically significant differences(P＜0.05).Pearson correlation analysis showed a positive correlation between serum MAPK1 and LOXL2 levels in patients with cervical cancer(r=0.468,P＜0.001).Logistic regression analysis showed that high-risk HPV infection,MAPK1 and LOXL2 were all influencing factors for the occurrence of cervi-cal cancer(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)for com-bined diagnosis of serum MAPK1 and LOXL2 was 0.911,which was significantly greater than the AUCs for individual diagnoses(0.848 and 0.843,respectively).Conclusion Serum MAPK1 and LOXL2 levels in patients with cervical cancer are significantly upregulated,and the two indicators were positively correlated.High-risk HPV infection,serum MAPK1 and LOXL2 levels were influen-cing factors for the occurrence of cervical cancer.Combined detection of MAPK1 and LOXL2 levels is expected to assist in the diagnosis of cervical cancer.

OBJECTIVE: To explore the pathogenic mechanism of a child with Waardenburg syndrome type 4C due to a c.661_664dup (p.P222Lfs*60) variant of SOX10 gene through in vitro experiments. METHODS: A child diagnosed at the Handan First Hospital was selected as the study subject. Clinical data of the child was collected. Peripheral blood samples were collected from the child and his parents. Following extraction of genomic DNA, trio-whole exome sequencing was carried out. Pathogenicity of candidate variant was determined by bioinformatic analysis and reference to the guidelines from the American College of Medical Genetics and Genomics (ACMG). Candidate variant was verified by Sanger sequencing. Expression plasmids of wild-type SOX10 and the c.661_664dup (p.P222Lfs*60) variant were constructed and transiently transfected into 293T cells to determine the expression at the RNA and protein levels. The 293T cells transiently transfected with the wild-type/mutant SOX10 were treated with 10 ug/mL cycloheximide (CHX) for 0, 4, 8, 24 h, respectively, and the degradation rate of target protein was detected by Western blotting assay. This study has been approved by the Ethics Committee of Handan First Hospital (Ethics No. HDYY-LW-25053). RESULTS: The child was found to harbor a heterozygous c.661_664dup (p.P222Lfs*60) variant of the SOX10 gene, which was unreported previously. The variant did not significantly alter the expression of SOX10 at the mRNA level but the protein level. After the CHX treatment, the degradation of mutant SOX10 protein had slowed down. CONCLUSION The mutant SOX10 may affect the expression of downstream genes by affecting the degradation rate of its protein product.
Humans ; HEK293 Cells ; Mutation ; SOXE Transcription Factors/metabolism* ; Waardenburg Syndrome/genetics* ; Child

AIM: To investigate the protective effect of eugenol against Fusarium solani(F.solani)-induced fungal keratitis(FK)in mice and to preliminarily explore possible underlying mechanisms.METHODS: A modified epifluorescence microscopy method was used to prepare the FK mouse model. An equal amount of DMSO(0.05%)was applied to the conjunctiva of the right eye of rats in the dimethyl sulfoxide(DMSO)group. The eugenol group was prepared by applying eugenol(160 μg/mL)to the conjunctival sac of the right eye of mice. The insulin-like growth factor-1(IGF-1)group was coated with the PI3K/AKT pathway activator IGF-1(10 nmol/mL)in the conjunctival sac of the right eye in addition to the administration of eugenol. The corneal morphology was observed under a slit-lamp microscope on days 1, 3, and 5 of inoculation with F.solani suspension, respectively. Hematoxylin eosin(HE)staining was used to assess corneal histopathological damage. The bacterial load of corneal tissue was determined. Enzyme-linked immunosorbent assay and Western blot were used to analyze the levels of inflammatory mediators interleukin-6(IL-6)and interleukin-1β(IL-1β)and the expression of PI3K/AKT pathway proteins.RESULTS: Eugenol treatment improved the morphological symptoms of keratitis and inflammatory response in FK mice, and reduced corneal pathologic tissue damage and fungal load. At 3 d after F.solani infection, corneal tissue IL-6 levels were significantly higher and IL-1β levels were significantly lower in the eugenol group compared with the DMSO group(both P<0.05); corneal tissue IL-6 levels were significantly higher and IL-1β levels were significantly lower in the eugenol group than in the IGF-1 group(both P<0.05). At 5 d after infection, both IL-6 and IL-1β levels in corneal tissue of the eugenol group were significantly lower than those of the DMSO and IGF-1 groups(P<0.05); compared with the DMSO group, the expression of p-PI3K and p-Akt in the corneal tissues of the eugenol group was significantly reduced(P<0.05); the expression of p-PI3K and p-Akt in corneal tissues was significantly lower in the eugenol group than that of the IGF-1 group(both P<0.05).CONCLUSION: Eugenol may attenuate F.solani-induced corneal inflammation by inhibiting the PI3K/AKT pathway, and it has a protective effect against F.solani keratitis in mice.

Objective:To investigate the relationship between key molecules of interleukin-6/signal transducer and activator of transcription 3 (IL-6/STAT3) signaling pathway and breast cancer susceptibility.Methods:A case-control study design was adopted. 136 patients with breast cancer admitted to Department of Breast Surgery, Yantai Yantaishan Hospital from Mar. 2021 to Mar. 2023 were selected as the case group, and 136 healthy subjects of the same age were matched as the control group in a 1:1 ratio. The clinical data and key molecules of IL-6/STAT3 signaling pathway were compared between the two groups. The risk factors of breast cancer susceptibility were evaluated by conditional Logistic regression and addition analysis, and the diagnostic efficiency of receiver operating characteristic curve (ROC) and area under curve (AUC) were plotted.Results:The body mass index (BMI) (22.21±0.68 vs. 21.30±0.70 kg/m 2), age at menarche (13.50±1.24 years vs. 14.83±1.42 years), IL-6 (3.50±1.05 vs. 2.41±0.74), Janus protein kinase 1 (JAK1) mRNA (1.23±0.36 vs. 0.88±0.26), STAT3 mRNA (1.68±0.50 vs. 1.17±0.35), and menopause (30.15% vs. 55.88%), breastfeeding (82.35% vs. 92.65%), physical exercise (44.12% vs. 58.09%) were significantly different between the case group and the control group ( t=10.87, 8.23, 9.89, 9.19, 9.75, χ2=18.37, 6.59, 5.31, P<0.05). Breastfeeding [odd ratio ( OR) : 0.550], interleukin-6 (IL-6) ( OR: 4.409), janus protein kinase 1 (JAK1) ( OR: 5.370) and signal transducer and activator of transcription 3 (STAT3) ( OR: 4.386) mRNAs were risk factors for breast cancer susceptibility ( P<0.05). ROC curve showed that the combined diagnostic efficacy of IL-6, JAK1, STAT3 mRNA in breast cancer was significantly better than that of a single diagnostic efficacy. The incidence rate of breast cancer in those who were exposed to IL-6 mRNA and breast feeding was 3.508 times higher than that in those who were not exposed. The incidence rate of breast cancer in those who were exposed to JAK1 mRNA and breast feeding at the same time was 4.136 times higher than that in those who were not exposed. The incidence rate of breast cancer in those who were exposed to STAT3 mRNA and breast feeding was 3.537 times higher than that in those who were not exposed. Conclusion:The key molecules of IL-6/STAT3 signaling pathway and breast-feeding are predisposing factors of breast cancer, and they have additive interaction, thus increasing the susceptibility of breast cancer, which has significant practical significance for the differential diagnosis and treatment of this disease.

Objective To develop deep learning models for colonoscopy quality control using various deep learning architectures,and to delve into the decision-making mechanisms.Methods The colonoscopy images were selected from two datasets separately constructed by the HyperKvasir and Changshu Hospital Affiliated to Soochow University,encompassing intestines of varying degrees of cleanliness,polyps,and cecums.After image preprocessing and enhancement,transfer learning was carried out using the pre-trained models based on convolutional neural network(CNN)and Transformer.The model training adopted cross-entropy loss functions and Adam optimizer,and simultaneously implemented learning rate scheduling.To enhance model transparency,a thorough interpretability analysis was conducted using Grad-CAM,Guided Grad-CAM,and SHAP.The final model was converted to ONNX format and deployed on various equipment terminals to achieve real-time colonoscopy quality control.Results In a dataset of 3 831 colonoscopy images,EfficientNet model outperformed the other models on the test set,achieving an accuracy of 0.992 which was higher than those of the other models based on CNN(DenseNet121,ResNet50,VGG19)and Transformer(ViT,Swin,CvT),with a precision,recall rate,and F1 score of 0.991,0.989,and 0.990.On an external test set of 358 images,EfficientNet model had an average AUC,precision,and recall rate of 0.996,0.948,and 0.952,respectively.Although EfficientNet model is high-performing,some misjudgments still occurred.Interpretability analysis highlighted key image areas affecting decision-making.In addition,EfficientNet model was successfully converted to ONNX format and deployed on multiple platforms and devices,and it ensured real-time colonoscopy quality control with an inference speed of over 60 frames per second.Conclusion Among the 7 models developed for colonoscopy quality control based on CNN and Transformer,EfficientNet demonstrated exemplary performance across all categories and is deployed for real-time predictions on multiple terminals,aiming to provide patients with better medical care.