Objective To investigate the mechanism of inducing macrophage polarization induced by acupoint effect of electroacupuncture to promote the repair of acute skeletal muscle injury.Methods 45 SD rats were randomly divided into blank group,model group,electroacupuncture group(EA group),sodium chrominate group (DSCG group) and electroacupuncture+sodium chrominate group (hereinafter referred to as EA+DSCG group),with 9 rats in each group. The rats in the EA group and the EA+DSCG group were subjected to EA intervention at the right "Chengshan" (BL57) and "Yanglingquan"(GB34),with a frequency of 2 Hz/100 Hz. The gait changes of rats were recorded by animal gait analyzer. The morphological changes of the right gastrocnemius were observed by HE staining. The changes of mast cell aggregation and degranulation in local skin muscles of "chengshan" point were observed by toluidine blue staining. The expressions of Pax7,MyoD and skin mast cells and 5-HT in the right gastrocnemius were detected by immunofluorescence method. The positive expressions of CD68 and CD206 in right gastrocnemius macrophage was observed by immunohistochemical staining.Results Compared with blank group,the wiggle time of the right hind leg in model group and DSCG group increased,stride length decreased,HE staining showed inflammatory cell infiltration,myocyte enlargement,degeneration and necrosis. The degranulation rate of local skin mast cells in "Chengshan" (BL57) area increased,and the expressions of mast cell tryptase,5-HT,Pax7,MyoD,CD68 and CD206 increased (P<0.05). Compared with model group,the wiggle time of the right hind leg in EA group and EA+DSCG group decreased,stride length increased,HE staining showed that inflammatory cell infiltration was reduced,muscle cells were uniform in size and arranged neatly. Mast cell degranulation rate increased significantly in EA group,and the expressions of mast cell tryptase,5-HT,Pax7,MyoD and CD206 increased (P<0.05),while CD68 expression decreased (P<0.05). Compared with EA+DSCG group,the degranulation rate of mast cells and the expressions of mast cell tryptase,5-HT,Pax7,MyoD and CD206 increased (P<0.05),while CD68 expression decreased in EA group (P<0.05). Conclusion EA "Chengshan" (BL57) and "Yanglingquan" (GB34) can stimulate acupuncture points to locally induce mast cell degranulation,promote the polarization of macrophages,and then activate muscle satellite cells to play the regulatory process of repairing skeletal muscle injury.

Diabetic foot ulcer (DFU) is a serious complication of diabetes mellitus. 4％～10％ of DM patients have DFU,of which 10％～20％ of ulcers fail to heal. Traditional treatment or surgical treatment is difficult to cure DFU fundamentally. The amputation rate of DFU patients is as high as 25％,and the 5-year mortality rate after surgery is as high as 39％～68％. Mesenchymal stem cells (MSCs) have high self-renewal ability and multi-directional differentiation potential,which can promote vascular regeneration,wound healing,and improve blood supply. This article reviews the research progress of MSCs in the treatment of DFU.

Diabetic foot ulcer (DFU) is a serious complication of diabetes mellitus. 4％～10％ of DM patients have DFU,of which 10％～20％ of ulcers fail to heal. Traditional treatment or surgical treatment is difficult to cure DFU fundamentally. The amputation rate of DFU patients is as high as 25％,and the 5-year mortality rate after surgery is as high as 39％～68％. Mesenchymal stem cells (MSCs) have high self-renewal ability and multi-directional differentiation potential,which can promote vascular regeneration,wound healing,and improve blood supply. This article reviews the research progress of MSCs in the treatment of DFU.

Objective:To identify tooth number abnormalities on pediatric panoramic radiographs based on deep learning.Methods:Eight hundred panoramic radiographs of children aged 4 to 11 years meeting the inclusion and exclusion criteria were selected and randomly assigned by writing programs in Python (version 3.9) to the training set (480 images), verification set (160 images) and internal test set (160 images), taken in Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology between November 2012 to August 2020. And all panoramic radiographs of children aged 4 to 11 years taken in the First Outpatient Department of Peking University School and Hospital of Stomatology from June 2022 to December 2022 were collected as the external test set (907 images). All of the 1 707 images were obtained by operators to determine the outline and to label the tooth position of each deciduous tooth, permanent tooth, permanent tooth germ and additional tooth. The deep learning model with ResNet-50 as the backbone network was trained on the training set, validated on the verification set, tested on the internal test set and external test set. The images of test sets were divided into two categories according to whether there was abnormality of tooth number, to calculate sensitivity, specificity, positive predictive value and negative predictive value, and then divided into four types of extra teeth and missing permanent teeth both existed, extra teeth existed only, missing permanent teeth existed only, and normal teeth number, to calculate Kappa values. Results:The sensitivity, specificity, positive predictive value and negative predictive value were 98.0%, 98.3%, 99.0% and 96.7% in the internal test set, and 97.1%, 98.4%, 91.9% and 99.5% in the external test set respectively, according to whether there was abnormality of tooth number. While images were divided into four types, the Kappa value obtained in the internal test set was 0.886, and that in the external test set was 0.912. Conclusions:In this study, a deep learning-based model for identifying abnormal tooth number of children was developed, which could identify the position of additional teeth and output the position of missing permanent teeth on the basis of identifying normal deciduous and permanent teeth and permanent tooth germs on panoramic radiographs, so as to assist in diagnosing tooth number abnormalities.

Humans ; Cohort Studies ; Body Mass Index ; Percutaneous Coronary Intervention ; Coronary Artery Disease ; Inflammation ; Treatment Outcome ; Risk Factors

Leukemia is a common, multiple and dangerous blood disease, whose early diagnosis and treatment are very important. At present, the diagnosis of leukemia heavily relies on morphological examination of blood cell images by pathologists, which is tedious and time-consuming. Meanwhile, the diagnostic results are highly subjective, which may lead to misdiagnosis and missed diagnosis. To address the gap above, we proposed an improved Vision Transformer model for blood cell recognition. First, a faster R-CNN network was used to locate and extract individual blood cell slices from original images. Then, we split the single-cell image into multiple image patches and put them into the encoder layer for feature extraction. Based on the self-attention mechanism of the Transformer, we proposed a sparse attention module which could focus on the discriminative parts of blood cell images and improve the fine-grained feature representation ability of the model. Finally, a contrastive loss function was adopted to further increase the inter-class difference and intra-class consistency of the extracted features. Experimental results showed that the proposed module outperformed the other approaches and significantly improved the accuracy to 91.96% on the Munich single-cell morphological dataset of leukocytes, which is expected to provide a reference for physicians' clinical diagnosis.
Humans ; Blood Cells ; Leukocytes ; Leukemia ; Electric Power Supplies ; Recognition, Psychology

Purpose: Intrahepatic cholangiocarcinoma (ICC) is one of the most common liver primary tumors but its treatments are limited. Bioinformatics showed that the expression level of long non-coding RNA cancer-associated susceptibility 15 gene (CASC15) is correlated with ICC progression, but its functional mechanism remains unclear. Materials and Methods: Tissues from ICC patients, tumor and adjacent tissue, were used for detection of the expression of CASC15. Clinical data were also collected for clinicopathologic and survival analysis. Short interfering RNA and lentiviral short hairpin RNA were used to knock down CASC15 and PRDX2 expression in ICC cell lines, for the analysis of changes of cell function and xenografts. RNA-pulldown and RNA immunoprecipitation assays were used to detect RNA-binding protein, PRDX2. Male nude mice were used for ICC xenografts, and livers were collected after 4 weeks for immunohistochemistry. Results: CASC15 is highly expressed in ICC tissues and is related to higher TNM stage. Knockdown of CASC15 in ICC cells reduced cell proliferation, migration, invasiveness and increased apoptosis, and G1/S block. PRDX2 bound to CASC15. Knockdown of CASC15 decreased PRDX2 expression which was rescued by the inhibition of proteasome formation. Downregulation of PRDX2 resulted in G1/S block, reduced ICC cell invasion. Downregulation of CASC15 inhibited phosphoinositide 3-kinase (PI3K)/AKT/c-Myc pathway through downregulating of PRDX2 and overexpressed PRDX2 rescued the block. CASC15 knockout in ICC xenografts suppressed tumor development in vivo, decreased the expression of PRDX2 and Ki67 and inhibited PI3K/AKT pathway. Conclusion CASC15 promotes ICC possibly by targeting PRDX2 via the PI3K/AKT pathway, indicating poor prognosis and high degree of malignancy of ICC.

BACKGROUNDTo study the effect of DTB against HIV-1, for developing anti-HIV drugs.

METHODSDifferent concentration of DTB was added to cell culture system after viral inoculation, MTT staining method for viable cells (MTT assay) and p24 (ELISA) were used as markers to monitor the viral replication.

RESULTSThe inhibition rates of DTB at concentrations 160, 80, and 40mg/ml were 93.0%, 56.2% and 18.1%, respectively.

CONCLUSIONSDTB could effectively inhibit HIV-1 in vitro.

Anti-HIV Agents ; pharmacology ; Bilirubin ; analogs & derivatives ; pharmacology ; Dose-Response Relationship, Drug ; HIV-1 ; drug effects ; Humans ; In Vitro Techniques