To assess the implantation effectiveness of porous scaffolds, it is essential to consider not only their mechanical properties but also their biological performance. Given the high cost, long duration and low reproducibility of biological experiments, simulation studies as a virtual alternative, have become a widely adopted and efficient evaluation method. In this study, based on the secondary development environment of finite element analysis software, the strain energy density growth criterion for bone tissue was introduced to simulate and analyze the cell proliferation-promoting effects of four different lattice porous scaffolds under cyclic compressive loading. The biological performance of these scaffolds was evaluated accordingly. The computational results indicated that in the early stages of bone growth, the differences in bone tissue formation among the scaffold groups were not significant. However, as bone growth progressed, the scaffold with a porosity of 70% and a pore size of 900 μm demonstrated markedly superior bone formation compared to other porosity groups and pore size groups. These results suggested that the scaffold with a porosity of 70% and a pore size of 900 μm was most conducive to bone tissue growth and could be regarded as the optimal structural parameter for bone repair scaffold. In conclusion, this study used a visualized simulation approach to pre-evaluate the osteogenic potential of porous scaffolds, aiming to provide reliable data support for the optimized design and clinical application of implantable scaffolds.
Tissue Scaffolds/chemistry* ; Porosity ; Finite Element Analysis ; Tissue Engineering/methods* ; Computer Simulation ; Bone Development ; Osteogenesis ; Humans ; Cell Proliferation

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

Objective:To investigate the difference in intracranial infection rate between long-tunneled external ventricular drainage(LTEVD)and conventional external ventricular drainage(EVD),as well as the risk factors for intracranial infection.Methods:A retro-spective analysis was performed for the clinical data of 45 patients who were admitted to Department of Neurology Center,The Third Affiliated Hospital of Chongqing Medical University,from January 2020 to December 2022 and underwent EVD,among whom 13 patients underwent LTEVD(LTEVD group)and 32 patients underwent conventional EVD(EVD group).Related data were recorded for both groups,including general information,postoperative catheter-related complications,and postoperative management,to investi-gate the effect on reducing the rate of intracranial infection.According to the presence or absence of intracranial infection after surgery,the patients were divided into the infection group with 10 patients and non-infection group with 35 patients,and related clini-cal data were analyzed to investigate the risk factors for intracranial infection.Results:The LTEVD group had a significantly lower secondary infection rate of catheterization days than the EVD group[2.40‰(1/417)vs.27.19‰(9/331),P=0.009].The duration of catheterization was 14-85 days[27.00(22.50,36.50)days]in the LTEVD group and 8-22 days[9.00(8.00,11.50)days]in the EVD group,suggesting that the LTEVD group had a significantly longer duration of catheterization than the EVD group(P=0.000).The multivariate logistic regression analysis showed that the times of cerebrospinal fluid sampling was an independent risk factor for post-operative intracranial infection in patients undergoing EVD,and the use of LTEVD was a protective factor against intracranial infection after EVD.Conclusion:Compared with conventional EVD,LTEVD can safely prolong the duration of catheterization and reduce the rate of postoperative intracranial infection in patients undergoing EVD.The use of LTEVD procedure and the reduction in the times of cerebrospinal fluid sampling can reduce the risk of postoperative in-tracranial infection.

Objective To explore the interaction between long non-coding RNA growth arrest-specific 5(GAS5)and miR-135b-5p/adenomatous polyposis coli(APC)axis,and to elucidate its biological function in the proliferation,metastasis and invasion of glioma.Methods The relationship of GAS5 expression level with survival rate of glioma patients was analyzed based on CGGA database.qRT-PCR was used to detect the expression level of GAS5 in glioma tissues and cell lines.Human glioma T98 and A172 cell lines were subjected for overexpression and knockdown of GAS5,miR-135b-5p and APC by transfection.Western blotting and qRT-PCR were applied to measure the expression of related genes in glioma tissues or cell lines.CCK-8,Transwell and wound healing assays was conducted to determine the effect of GAS5 on the viability and motility of glioma cells.Moreover,dual luciferase reporter analysis were utilized to elucidate the regulatory mechanisms of GAS5 and miR-135b-5p/APC.Results Analysis on CGGA database showed that the survival rate of glioma patients with low GAS5 expression was significantly decreased(P＜0.001).Western blotting and qRT-PCR indicated that GAS5 was down-regulated in the glioma cell lines and tissues than human normal astrocytes and para-cancer tissues(P＜0.01).The results of CCK-8,Transwell and wound healing assays revealed that overexpression of GAS5 significantly inhibited the viability,invasion and migration abilities in T98 cells when compared with the cells of the vector group(P＜0.01).Dual luciferase reporter analysis displayed that there were binding sites between GAS5 and miR-135b-5p,and the expression of the two was negatively correlated(P=0.019).Further studies suggested that the effect of GAS5 on biological function in glioma cells was through targeting miR-135b-5p,and overexpression of APC reversed the promoting effect of miR-135b-5p on glioma cells(P＜0.01).Western blotting displayed that enhancing miR-135b-5p expression inhibited the expression of APC(P＜0.001),and GAS5 upregulated the expression of APC by targeting miR-135b-5p(P＜0.01).Conclusion GAS5 inhibits the progression of glioma via miR-135b-5p/APC axis,which revealing the molecular regulatory mechanism of GAS5/miR-135b-5p/APC.

Objective To compare the efficacy of mediastinoscope-assisted transhiatal esophagectomy (MATHE) and functional minimally invasive esophagectomy (FMIE) for esophageal cancer. Methods Patients who underwent minimally invasive esophagectomy at Jining No.1 Hospital from March 2018 to September 2022 were retrospectively included. The patients were divided into a MATHE group and a FMIE group according to the procedures. The patients were matched via propensity score matching (PSM) with a ratio of 1 : 1 and a caliper value of 0.2. The clinical data of the patients were compared after the matching. Results A total of 73 patients were include in the study, including 54 males and 19 females, with an average age of (65.12±7.87) years. There were 37 patients in the MATHE group and 36 patients in the FMIE group. Thirty pairs were successfully matched. Compared with the FMIE group, MATHE group had shorter operation time (P=0.022), lower postoperative 24 h pain score (P=0.031), and less drainage on postoperative 1-3 days (P<0.001). FMIE group had more lymph node dissection (P<0.001), lower incidence of postoperative hoarseness (P=0.038), lower white blood cell and neutrophil counts on postoperative 1 day (P<0.001). There was no statistically significant difference in the bleeding volume, R0 resection, hospital mortality, postoperative hospital stay, anastomotic leak, chylothorax, or pulmonary infection between the two groups (P>0.05). Conclusion Compared with the FMIE, MATHE has shorter operation time, less postoperative pain and drainage, but removes less lymph nodes, which is deficient in oncology. For some special patients such as those with early cancer or extensive pleural adhesions, MATHE may be a suitable surgical method.

During radiotherapy of lung tumors, patients′respiration will lead to tumor displacement, making it difficult to accurately expose target volumes to radiation. This will cause damage to the physiological structures of surrounding healthy tissues and reduce the efficacy. Therefore, it is critical to accurately predict the motion trajectories of lung tumors and adjust the positions of electron beams in a real-time manner. Currently, primary methods to predict the motion trajectories of lung tumors include marker-based and marker-free predictions. This review explores the advances in research on both prediction methods and analyzes their basic principles, application scenarios, current challenges, and future trends. It is expected to provide comparatively comprehensive insights for researchers and clinicians in related fields to facilitate the improvement and optimization of radiotherapy for lung tumors.

Purpose/Significance To apply the 5G ward round robot platform in primary hospitals,so as to effectively improve the treatment capability and management service level of patients with critical and severe diseases.Method/Process Based on technologies such as 5 G,internet of things(IoT)and robotics,the researchers build and deploy a 5 G ward round robot platform and collaborate with domestic experts to provide mobile ward round,remote consultation,intensive care,health education and other services for patients.Re-sult/Conclusion Real time sharing of patient clinical data and efficient collaboration in the diagnosis and treatment process can be a-chieved,multi-mode,accurate and standardized remote ward round and treatment guidance can be carried out according to patients'conditions.

Objective:To explore the effectiveness of a hysteroscopic endometrial lesion diagnosis model de-veloped based on deep learning(DL)algorithm combined with gradient-weighted class activation mapping(Grad-CAM)visualization technology.Methods:303 hysteroscopy videos(4781 images)of 291 patients who un-derwent hysteroscopy examination in the Department of Gynecology,Renmin Hospital of Wuhan University from June 1,2021 to December 31,2022 were selected.The dataset was divided into a training set(3703 images)and a test set(1078 images)by weight sampling method.After the training set was used for model learning and train-ing,two model architectures,residual neural network(ResNet18)and efficient neural network(EfficientNet-B0),were selected to verify the model in the test set by five-class and two-class classification tasks,respectively.Tak-ing histopathology as the gold standard,the diagnostic efficacy was evaluated to select the optimal model,and the Grad-CAM layer was embedded in the optimal model to output hysteroscopy images of Grad-CAM.Results:①In the five-class classification tasks,the accuracy of EfficientNet-B0 model(93.23％)was higher than that of Res-Net18 model(84.23％);the area under the curve(AUC)of EfficientNet-B0 model in the diagnosis of five disea-ses,including atypical endometrial hyperplasia,endometrial polyps,endometrial cancer,endometrial atypical hy-perplasia,and submucous myoma,was slightly higher than that of ResNet18 model,and the AUC of both models was almost above 0.980.②In the binary classification task of accuracy and the evaluation of specificity,the two models were similar,both above 93.00％,and the sensitivity of EfficientNet-B0 model(91.14％)was significantly better than that of ResNet18 model(77.22％).③EfficientNet-B0 model combined with Grad-CAM algorithm could identify the abnormal areas in the image.After biopsy and pathological examination,it was confirmed that about 95％of the marked areas in the model's output heatmap were lesion areas.Conclusions:The hysteroscopy di-agnostic model developed by EfficientNet-B0 model combined with Grad-CAM has high diagnostic accuracy,sen-sitivity,and specificity,and has application value in the diagnosis of endometrial lesions.

Objective To study the application value of 3.0T MRI T2 mapping quantitative technology in the diagnosis of anterior cruciate ligament sprain and chronic injury of knee joint.Methods A total of 82 subjects were studied,and the experimental group 72 cases was divided into grade Ⅰ injury group(25 cases),grade Ⅱ injury group(25 cases),chronic injury group(22 cases),and control group 10 cases.The experimental group met the criteria of arthroscopy.The proximal,middle,and distal segments of the anterior cruciate ligament were selected as the region of interest(ROI),and T2 mapping values were measured.The differences in T2 mapping values of each area were compared between and within the groups,while compared with arthroscopy.Results The T2 mapping values in grade Ⅰ,Ⅱ,and chronic injury groups were higher than those in control group(P<0.05).Comparison within the experimental group:the T2 mapping values of each area in grade Ⅱ injury group were higher than those in grade Ⅰ injury group and chronic injury group(P<0.05).The T2 mapping values of each area in grade Ⅰ injury group were higher than those in chronic injury group(P<0.05).The specificity,sensitivity,positive predictive value,negative predictive value and accuracy of T2 mapping in diagnosing anterior cruciate ligament grade Ⅰ injury were 94.7%,95.5%,89.7%,96.6%,and 90.2%respectively.The specificity,sensitivity,positive predictive value,negative predictive value,and accuracy of grade Ⅱ injury were 89.4%,87.9%,92.1%,93.4%,and 93.8%respectively.The specificity,sensitivity,positive predictive value,negative predictive value,and accuracy of chronic injury were 92.2%,95.4%,90.3%,87.6%,and 91.5%respectively.Kappa test showed a good con-sistency between T2 mapping results and arthroscopic results,with a Kappa value of 0.763(P<0.01).Conclusion The value of MRI T2 mapping can provide a reference for the clinical diagnosis of anterior cruciate ligament sprain and chronic injury of knee joint,and the results are in good agreement with the control of arthroscopy.