ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.

Metabonomics and proteomics were employed to investigate the mechanism of Yuzhi Zhixue Granules in treating polycystic ovary syndrome with insulin resistance(PCOS-IR). The disease model was established by feeding a high-fat diet and gavage of letrozole solution and it was then treated with different doses of Yuzhi Zhixue Granules. The therapeutic effect of Yuzhi Zhixue Granules was evaluated based on the body mass, homeostasis model assessment of insulin resistance and insulin sensitivity index, serum levels of adipokines, and histopathological changes of rats. Metabolomics and proteomics were employed to find the action pathways of Yuzhi Zhixue Granules. The results showed that Yuzhi Zhixue Granules reduced the body mass, improved the insulin sensitivity and aromatase activity, improved the levels of leptin, adiponectin and other adipokines, and alleviated insulin resistance, histopathological changes, and metabolic disorders in PCOS-IR rats. Metabolomics results revealed 14 metabolites with altered levels in the ovarian tissue, which were closely related to glutathione metabolism and pyruvate metabolism. Proteomics results showed that the therapeutic effect of Yuzhi Zhixue Granules was mainly related to the adipokine, adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK), phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt), forkhead box protein O(FoxO), and mechanistic target of rapamycin(mTOR) signaling pathways. Western blot results showed that compared with the model group, Yuzhi Zhixue Granules treatment decreased the p-AMPK/AMPK and p-FoxO1/FoxO1 levels, increased the p-mTOR/mTOR level, and up-regulated the expression level of recombinant glucose transporter 4(GLUT4). Yuzhi Zhixue Granules can balance amino acid metabolism and pyruvate metabolism by regulating the AMPK/mTOR/FoxO/GLUT pathway to maintain the homeostasis of the ovarian environment and alleviate insulin resistance, thus treating PCOS-IR.
Animals ; Female ; Insulin Resistance ; Polycystic Ovary Syndrome/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Rats ; Metabolomics ; Proteomics ; Rats, Sprague-Dawley ; Humans ; Ovary/metabolism* ; Signal Transduction/drug effects*

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

OBJECTIVES: To explore the mediating role of sleep duration in the relationship between depression symptoms and myopia among middle school students. METHODS: This study was a cross-sectional research conducted using a stratified cluster random sampling method. A total of 1 728 middle school students were selected from two junior high schools and two senior high schools in certain urban areas and farms of the Xinjiang Production and Construction Corps. Questionnaire surveys and vision tests were conducted among the students. Spearman analysis was used to analyze the correlation between depression symptoms, sleep duration, and myopia. The Bootstrap method was employed to investigate the mediating effect of sleep duration between depression symptoms and myopia. RESULTS: The prevalence of myopia in the overall population was 74.02% (1 279/1 728), with an average sleep duration of (7.6±1.0) hours. The rate of insufficient sleep was 83.62% (1 445/1 728), and the proportion of students exhibiting depression symptoms was 25.29% (437/1 728). Correlation analysis showed significant negative correlations between visual acuity in both eyes and sleep duration with depressive emotions as measured by the Center for Epidemiologic Studies Depression Scale (with correlation coefficients of -0.064, -0.084, and -0.199 respectively; P<0.01), as well as with somatic symptoms and activities (with correlation coefficients of -0.104, -0.124, and -0.233 respectively; P<0.01) and interpersonal relationships (with correlation coefficients of -0.052, -0.059, and -0.071 respectively; P<0.05). The correlation coefficients for left and right eye visual acuity and sleep duration were 0.206 and 0.211 respectively (P<0.001). Sleep duration exhibited a mediating effect between depression symptoms and myopia (indirect effect=0.056, 95%CI: 0.029-0.088), with the mediating effect value for females (indirect effect=0.066, 95%CI: 0.024-0.119) being higher than that for males (indirect effect=0.042, 95%CI: 0.011-0.081). CONCLUSIONS Sleep duration serves as a partial mediator between depression symptoms and myopia in middle school students.
Humans ; Myopia/etiology* ; Male ; Female ; Depression/physiopathology* ; Cross-Sectional Studies ; Sleep ; Adolescent ; Students ; Child ; Time Factors ; Sleep Duration

[This corrects the article DOI: 10.11909/j.issn.1671-5411.2017.08.005.].

Accurate prediction of drug-induced adverse drug reactions (ADRs) is crucial for drug safety evaluation, as it directly impacts public health and safety. While various models have shown promising results in predicting ADRs, their accuracy still needs improvement. Additionally, many existing models often lack interpretability when linking molecular structures to specific ADRs and frequently rely on manually selected molecular fingerprints, which can introduce bias. To address these challenges, we propose ToxBERT, an efficient transformer encoder model that leverages attention and masking mechanisms for simplified molecular input line entry system (SMILES) representations. Our results demonstrate that ToxBERT achieved area under the receiver operating characteristic curve (AUROC) scores of 0.839, 0.759, and 0.664 for predicting drug-induced QT prolongation (DIQT), rhabdomyolysis, and liver injury, respectively, outperforming previous studies. Furthermore, ToxBERT can identify drug substructures that are closely associated with specific ADRs. These findings indicate that ToxBERT is not only a valuable tool for understanding the mechanisms underlying specific drug-induced ADRs but also for mitigating potential ADRs in the drug discovery pipeline.

Objective To investigate the effects of inhibiting KDM2A gene on the proliferation,invasion and migration of liver cancer cells and its possible regulatory mechanism.Methods Forty pairs of HCC tissues and their adjacent normal counterparts were collected from 2014 to 2017 in Tongji Hospital,Tongji Medical College Affiliated to Huazhong University of Science and Technology.Human liver cancer cell lines HepG2,Huh7,HCCLM3,MHCC-97H and normal liver cells LO2 were cultured in vitro.The mRNA and protein expression levels of KDM2A in HCC tissues and cells were detected by qRT-PCR and Western blotting.Huh7 cells were taken and set up as follows:(1)si-NC group(transfected with si-NC)and si-KDM2A group(transfected with si-KDM2A);(2)mimic-NC group(transfected with mimic-NC),miRNA-29a-3p mimic group(transfected with miRNA-29a-3p mimic),inhibitor-NC group(transfected with inhibitor-NC)and miRNA-29a-3p inhibitor group(transfected with miRNA-29a-3p inhibitor).The mRNA and protein expression levels of KDM2A were detected by qRT-PCR and Western blotting.The invasion and migration of cells were detected by Transwell,the proliferation of cells was detected by CCK-8 methods.The online databases TargetScan,miRDIP,miRWalk,Starbase and miRDB were used to predict the binding sites of KDM2A and miR-29a-3p.The KDM2A 3'-UTR(WT)or KDM2A 3'-UTR(MUT)report plasmid was co-transfected with NC-miRNA or miR-29a-3p mimics respectively for 48 h in 293T cells,and the luciferase activity was detected by the luciferase reporter gene detection system.Results Compared with adjacent normal counterparts,the relative mRNA and protein expression levels of KDM2A in HCC tissues increased significantly(P＜0.05).Compared with LO2,the relative mRNA and protein expression levels of KDM2A in HepG2,Huh7,HCCLM3 and MHCC-97H increased significantly(P＜0.05).Compared with si-NC group,the proliferation,invasion and migration of Huh7 cells in si-KDM2A group decreased significantly(P＜0.05 or P＜0.01).The analysis results of TargetScan,miRDIP,miRWalk,Starbase and miRDB showed that there were binding sites between KDM2A and miR-29a-3p.The results of the dual luciferase reporter assay showed that miR-29a-3p mimic significantly reduced KDM2A-MUT luciferase activity(P＜0.01).After overexpression of miRNA-29a-3p,the relative mRNA and protein expression levels of KDM2A were decreased(P＜0.01),the proliferation,invasion and migration abilities were decreased(P＜0.05)in Huh7 cells.After inhibiting the expression of miRNA-29a-3p,the relative mRNA and protein expression levels of KDM2A were increased(P＜0.05),the proliferation,invasion and migration abilities were enhanced(P＜0.05)in Huh7 cells.Conclusion Inhibiting the expression of KDM2A can reduce the proliferation and migration ability of Huh7 cells.miR-29a-3p may be the upstream regulator of KDM2A and participate in the occurrence and development of hepatocellular carcinoma.

Objective To propose a method for classifying small bowel capsule endoscopy images by combining the Swin Transformer network with an improved Adapt-RandAugment data augmentation approach,aiming to enhance the accuracy and efficiency of small bowel lesion classification and recognition.Methods An Adapt-RandAugment data augmentation approach was formulated based on the RandAugment data enhancement sub-strategy and the principles of no feature loss and no distortion when enhancing small bowel capsule endoscopy images.In the publicly available Kvasir-Capsule dataset of small bowel capsule endoscopic images,the Adapt-RandAugment data augmentation approach was trained based on the Swin Transformer network,and the convolutional neural networks ResNet152 and DenseNet161 were used as the benchmarks to validate the combined Swin Transformer network and Adapt-RandAugment data augmentation approach for small bowel capsule endoscopy image classification.Results The proposed algorithm gained advantages over ResNet152 and DenseNet161 networks in the indicators,which had the macro average precision(MAC-PRE),macro average recall(MAC-REC),macro average F1 score(MAC-Fi-S)being 0.383 2,0.314 8 and 0.290 5 respectively,the micro average precision(MIC-PRE),micro average recall(MIC-REC)and micro average F1 score(MIC-Fi-S)all being 0.755 3,and the Matthews correlation coe-fficient(MCC)being 0.452 3.Conclusion The proposed small bowel capsule endoscopy image classification method based on Swin Transformer network and Adapt-RandAugment data augmentation approach behaves well in classified recognition efficiency and accuracy.[Chinese Medical Equipment Journal,2024,45(6):9-16]

Objective To investigate the impact and mechanism of efaproxiral (RSR13),a hemoglobin allosteric agent,on lung injury in rats caused by explosion-induced shock waves in plateau areas. Methods Eighty-two healthy male SD rats (8-week-old,transferred from an altitude of 2 880 m to 4700 m within 6 h)were randomly divided into blast injury group and RSR13+blast injury group (intraperitoneal injection of 150 mg/kg RSR132 h before explosion).Sixty rats were positioned at 5 m from the explosion source and divided into 5-m blast injury group (n=30)and 5-m RSR13+blast injury group (n=30). Additionally,16 rats were positioned at 6 m from the explosion source and then assigned into 6-m blast injury group (n=8)and 6-m RSR13+blast injury group (n=8).The left 6 rats served as control (n=6).Survival outcomes of each rat group positioned 5 m from the explosion source were observed over a 24-hour period.HE staining was used to evaluate the pathological score of the surviving rats positioned at 6 m from the explosion source in 24 h after explosion,along with arterial blood gas analysis.The contents of glutathione (GSH),malondialdehyde (MDA ) and superoxide dismutase (SOD ) in the lung tissues were determined by colorimetry.Western blotting was conducted to measure the expression levels of cleaved caspase-3 and occludin in the lung tissue.Results RSR13 pretreatment increased the survival rate immediately after explosion (93.3％ vs 46.7％,P<0.01 )and at 1 h after explosion (86.7％ vs 46.7％,P<0.01 )in plateau areas of 5 m from the explosion source.At high altitude,RSR13 pretreatment reduced the pathological score of lung injury in rats 6 m away from the explosion source (8.27±0.93 vs 13.70±0.78,P<0.01 ),but had no significant effect on the results of arterial blood gas analysis in rats with lung blast injury (P>0.05 ).In addition,RSR13 pretreatment also increased GSH content (40.27±12.47 vs 22.62±10.88 μg/g,P<0.05),but showed no obvious effect on MDA content and SOD activity (P>0.05 ),decreased the protein level of cleaved caspase-3 (P<0.01 )and increased that of occludin (P<0.05 )in the lung tissues.Conclusion RSR13 exerts significant protective effect on lung injury in rats caused by explosion-induced shock waves in high-altitude environment,which may be related to its increasing antioxidant capacity,reducing cell apoptosis and decreasing barrier permeability of lung ventilation.