Objective To investigate the role and mechanism of RNA-Specific adenosine deaminase 3 (Adar3) in regulating macrophage polarization during Coxsackievirus B3(CVB3)-induced viral myocarditis (VM). Methods Bone marrow-derived macrophages (BMDM) from mice were cultured in vitro and induced into M1/M2 macrophages using interferon-gamma (IFN-γ)/lipopolysaccharide (LPS) or interleukin 4 (IL-4), respectively. The mRNA expression levels of Adar1, Adar2, and Adar3 in each group of cells were assessed by real-time quantitative PCR (qRT-PCR). Specific siRNAs targeting the Adar3 gene were designed, synthesized, and transiently transfected into M2 macrophages. The mRNA levels of M2 polarization-related marker genes-including arginase 1 (Arg1), chitinase 3-like molecule 3 (YM1/Chi3l3), and resistin-like molecule alpha (RELMα/FIZZ1)-were detected by qRT-PCR. RNA sequencing was performed to analyze the signaling pathways affected by Adar3. The expression levels of Wnt/β-catenin signaling pathway were further validated using qRT-PCR and Western blot. The adeno-associated virus overexpressing Adar3 was designed, synthesized, and injected into mice via tail vein. Three weeks later, a myocarditis mouse model was established. After an additional week, the phenotype and function of cardiac macrophages, as well as multiple indicators of VM (including echocardiography, body weight, histopathology and serology) were examined. Additionally, the protein levels of the Wnt/β-catenin signaling pathway were assessed. Results Compared to M0-type macrophages, the expression level of Adar3 was significantly increased in M2-type macrophages. After transfection of Adar3 siRNA, the mRNA levels of Arg1, YM1 and FIZZ1 in M2 macrophages were downregulated. RNA sequencing revealed 149 upregulated genes and 349 downregulated genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and subsequent validation experiments indicated that Adar3 modulated the Wnt/β-catenin signaling pathway. In vivo experiments demonstrated that Adar3 overexpression alleviated the cardiac dysfunction of VM mice. The proportion of M1 macrophages in the heart decreased, while the proportion of M2 macrophages increased. At the same time, the Adar3 overexpression activated the Wnt/β-catenin signaling pathway. Conclusion Adar3 promotes macrophage polarization toward the M2 phenotype by activating the Wnt/β-catenin signaling pathway, thereby alleviating VM.
Animals ; Adenosine Deaminase/metabolism* ; Macrophages/immunology* ; Wnt Signaling Pathway/genetics* ; Myocarditis/immunology* ; Mice ; Coxsackievirus Infections/metabolism* ; Male ; Mice, Inbred BALB C ; Enterovirus B, Human/physiology* ; beta Catenin/genetics*

PURPOSE: Postpancreatectomy hemorrhage (PPH) is a life-threatening complication after pancreatoduodenectomy. Stent-graft implantation is an emerging treatment option for PPH. This study reports the outcome of PPH treated with stent-graft implantation. METHODS: This was a single-center, retrospective study. Between April 2020 and December 2023, 1723 pancreatectomy cases were collected while we screened 12 cases of PPH after pancreatoduodenectomy treated with stent-graft implantation. Patients' medical and radiologic images were retrospectively reviewed. Technical and clinical success, complications, and stent-graft patency were evaluated. Continuous data are reported as means ± standard deviation when normally distributed or as median (Q₁, Q₃) when the data is non-normal distributed. Categorical data are reported as n (%). A p < 0.05 was considered statistically significant. Kaplan-Meier estimates were used for stent patency and patients' survival. RESULTS: Pancreatic fistula was identified in 6 cases (50.0%), and pseudoaneurysm was identified in 3 cases (25.0%), including pancreatic fistula together with pseudoaneurysm in 1 case (8.3%). All pseudoaneurysm or contrast extravasation sites were successfully excluded with patent distal perfusion, thus technical success was achieved in all cases. The overall survival rate at 6 months and 1 year was 91.7% and 78.6%, respectively. One patient had herniation of the small intestine into the thoracic cavity, which caused a broad thoracic and abdominal infection and died during hospitalization. Rebleeding occurred at the gastroduodenal artery stump in 1 case after stent-graft implantation for the splenic artery and was successfully treated with another stent-graft implantation. Two cases of asymptomatic stent-graft occlusion were observed at 24.6 and 26.3 after the operation, respectively. CONCLUSIONS With suitable anatomy, covered stent-graft implantation is an effective and safe treatment option for PPH with various bleeding sites and causes.
Humans ; Pancreaticoduodenectomy/adverse effects* ; Stents ; Male ; Retrospective Studies ; Female ; Middle Aged ; Postoperative Hemorrhage/surgery* ; Aged ; Adult

Homeostasis and energy and substance metabolism reprogramming shape various tumor microenvironment to sustain cancer stemness, self-plasticity and treatment resistance. Aiming at them, a lipid-based pharmaceutical loaded with CaO₂ and glucose oxidase (GOx) (LipoCaO₂/GOx, LCG) has been obtained to disrupt calcium homeostasis and interfere with glycometabolism. The loaded GOx can decompose glucose into H₂O₂ and gluconic acid, thus competing with anaerobic glycolysis to hamper lactic acid (LA) secretion. The obtained gluconic acid further deprives CaO₂ to produce H₂O₂ and release Ca²⁺, disrupting Ca²⁺ homeostasis, which synergizes with GOx-mediated glycometabolism interference to deplete glutathione (GSH) and yield reactive oxygen species (ROS). Systematical experiments reveal that these sequential multifaceted events unlocked by Ca²⁺ homeostasis disruption and glycometabolism interference, ROS production and LA inhibition, successfully enhance cancer immunogenic deaths of breast cancer cells, hamper regulatory T cells (Tregs) infiltration and promote CD8⁺ T recruitment, which receives a considerably-inhibited outcome against breast cancer progression. Collectively, this calcium homeostasis disruption glycometabolism interference strategy effectively combines ion interference therapy with starvation therapy to eventually evoke an effective anti-tumor immune environment, which represents in the field of biomedical research.

Gastrointestinal (GI) cancers are a leading cause of cancer morbidity and mortality worldwide. Despite advances in treatment, cancer relapse remains a significant challenge, necessitating novel therapeutic strategies. In this study, we engineered nanobody-based chimeric antigen receptor (CAR) natural killer (NK) cells targeting cadherin 17 (CDH17) for the treatment of GI tumors. In addition, to enhance the efficacy of CAR-NK cells, we also incorporated CV1, a CD47-SIRPα axis inhibitor, to evaluate the anti-tumor effect of this combination. We found that CDH17-CAR-NK cells effectively eliminated GI cancers cells in a CDH17-dependent manner. CDH17-CAR-NK cells also exhibit potent in vivo anti-tumor effects in cancer cell-derived xenograft and patient-derived xenograft mouse models. Additionally, the anti-tumor activity of CDH17-CAR-NK cells is synergistically enhanced by CD47-signal regulatory protein α (SIRPα) axis inhibitor CV1, likely through augmented macrophages activation and an increase in M1-phenotype macrophages in the tumor microenvironment. Collectively, our findings suggest that CDH17-targeting CAR-NK cells are a promising strategy for GI cancers. The combination of CDH17-CAR-NK cells with CV1 emerges as a potential combinatorial approach to overcome the limitations of CAR-NK therapy. Further investigations are warranted to speed up the clinical translation of these findings.

OBJECTIVES: We propose a multi-scale jaw cyst segmentation model, AConvLSTM U-Net, which is based on bidirectional dense connections and attention mechanisms to achieve accurate automatic segmentation of mandibular cyst images. METHODS: A dataset consisting of 2592 jaw cyst images was used. AConvLSTM U-Net designs a MBC on the encoding path to enhance feature extraction capabilities. A DPD was used to connect the encoder and decoder, and a bidirectional ConvLSTM was introduced in the jump connection to obtain rich semantic information. A decoding block based on scSE was then used on the decoding path to enhance the focus on important information. Finally, a DS was designed, and the model was optimized by integrating a joint loss function to further improve the segmentation accuracy. RESULTS: The experiment with AConvLSTM U-Net for jaw cyst lesion segmentation showed a MCC of 93.8443%, a DSC of 93.9067%, and a JSC of 88.5133%, outperforming all the other comparison segmentation models. CONCLUSIONS The proposed algorithm shows a high accuracy and robustness on the jaw cyst dataset, demonstrating its superior performance over many existing methods for automatic segmentation of jaw cyst images and its potential to assist clinical diagnosis.
Humans ; Jaw Cysts/diagnostic imaging* ; Algorithms ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer

OBJECTIVES: To investigate the mechanism by which transforming growth factor‑β (TGF‑β) regulates major histocompatibility complex class I (MHC-I) expression in hepatocellular carcinoma (HCC) cells and its role in immune evasion of HCC. METHODS: HCC cells treated with TGF‑β alone or in combination with SB-431542 (a TGF-β type I receptor inhibitor) were examined for changes in MHC-I expression using RT-qPCR and Western blotting. A RNA interference experiment was used to explore the role of miR-23a-3p/IRF1 signaling in TGF‑β‑mediated regulation of MHC-I. HCC cells with different treatments were co-cultured with human peripheral blood mononuclear cells (PBMCs), and the changes in HCC cell proliferation was assessed using CCK-8 and colony formation assays. T-cell cytotoxicity in the co-culture systems was assessed with lactate dehydrogenase (LDH) release and JC-1 mitochondrial membrane potential assays, and T-cell activation was evaluated by flow cytometric analysis of CD69 cells and ELISA for TNF-α secretion. RESULTS: TGF‑β treatment significantly suppressed MHC-I expression in HCC cells and reduced T-cell activation, leading to increased tumor cell proliferation and decreased HCC cell death in the co-culture systems. Mechanistically, TGF-β upregulated miR-23a-3p, which directly targeted IRF1 to inhibit MHC-I transcription. Overexpression of miR-23a-3p phenocopied TGF‑β‑induced suppression of IRF1 and MHC-I. CONCLUSIONS We reveal a novel immune escape mechanism of HCC, in which TGF‑β attenuates T cell-mediated antitumor immunity by suppressing MHC-I expression through the miR-23a-3p/IRF1 signaling axis.
Humans ; MicroRNAs/genetics* ; Carcinoma, Hepatocellular/metabolism* ; Liver Neoplasms/metabolism* ; Interferon Regulatory Factor-1/metabolism* ; Transforming Growth Factor beta/metabolism* ; Signal Transduction ; Histocompatibility Antigens Class I/metabolism* ; Cell Line, Tumor ; Tumor Escape ; Coculture Techniques

Brain MRI data is characterized by large volumes and susceptibility to noise and artifacts,which pose significant challenges of improving the speed and accuracy of brain tumor detection and analysis due to the tumors'diverse types,shapes,and boundaries that are both similar and highly variable.Therefore,a series of improvements based on YOLOv7 algorithm are proposed for enhancing detection precision and speed:(1)employing partial convolution during feature extraction to reduce the model's parameters and improve overall detection speed;(2)in light of the complex variability of brain tumors,introducing a three-dimensional spatial attention mechanism during feature extraction to enhance the model's focus on critical image features;(3)replacing the original IoU loss function with WIoU to increase the attention to medium-quality anchor boxes during bounding box regression for further improving detection accuracy.Experiments conducted on two public brain tumor datasets,Brain_Tumor and Glioma_of_test,show that the improved model achieves mAP of 96.9%and 92.8%,which are 1.4%and 2.4%higher than the original YOLOv7 model,and the frames per second reach 162.7 and 158.1,showing improvements of 6.4 and 18.2,respectively.These enhancements enable more effective detection of brain tumors in MRI images.

Objective:To investigate the effects of KH-type splicing regulatory protein(KHSRP)targeting and regulating JAK1/STAT3 signaling axis on the proliferation,migration and invasion of the adenocarcinoma of esophagogastric junction(AEG)cells,as well as the growth of transplanted tumors and lung metastasis.Methods:A total of 64 pairs of AEG tissue and adjacent normal tissue samples,along with clinical data from patients diagnosed at Huaihe Hospital from January 2017 to December 2018 were collected.The expression level of KHSRP in AEG tissues and adjacent normal tissues was observed using immunohistochemical staining.The differential expression of KHSRP in AEG cells(OE-19,TE-7,BIC-1,FLO-1,SK-GT-4,BE-3)and normal esophageal epithelial cells(Het-1A)was detected by qPCR.Lentiviral vectors were used to knockdown and overexpress KHSRP in OE-19,TE-7,FLO-1,and SK-GT-4 cells.The experiment was divided into the following groups:sh-NC group,sh-KHSRP group,Vector group,and KHSRP overexpression group(KHSRP group).The knockdown or overexpression efficiency was detected by qPCR,and the effects of KHSRP knockdown or overexpression on AEG cell proliferation,migration and invasion were evaluated using CCK-8 and Transwell assays,respectively.A mouse xenograft and lung metastasis model was established to observe the effects of KHSRP on tumor growth and metastasis in vivo.The targeted regulation of JAK/STAT signaling pathway by KHSRP was verified by Western blotting.A rescue experiment was conducted to verify whether KHSRP promoted malignant progression of AEG cells through the JAK1/STAT3 signaling pathway.Results:Compared with adjacent normal tissues,the expression level of KHSRP in AEG tissues was significantly increased(P<0.05 or P<0.01).Cell function experiments showed that KHSRP overexpression significantly promoted AEG cell proliferation,migration,and invasion in vitro(P<0.05 or P<0.01).In vivo animal experiments showed that KHSRP promoted AEG cell xenograft tumor growth and lung metastasis in nude mice(P<0.05 or P<0.01).After KHSRP knockdown,the phosphorylation levels of JAK1 and STAT3 in the JAK/STAT signaling pathway were significantly reduced,while overexpression of KHSRP led to the opposite results(P<0.05 or P<0.01).Rescue experiment showed that KHSRP could reverse the inhibition of cell proliferation,migration,and invasion caused by JAK1/STAT3 knockdown(P<0.05 or P<0.01).Conclusion:KHSRP regulates the malignant progression of AEG cells by activating JAK1/STAT3 signaling axis.KHSRP may become a potential target for the clinical treatment of AEG.

Objective:To compare the efficacy of Ilizarov ring external fixation and unilateral rail external fixation in the treatment of infected bone defects following surgery for tibial fractures.Methods:A retrospective cohort study was conducted to analyze the clinical data of 50 patients with infected bone defects after surgery for tibial fractures, who were admitted to the 940th Hospital of the Joint Logistics Support Force of the PLA from August 2019 to November 2021, including 37 males and 13 females, aged 19-59 years [(42.2±8.8)years]. After debridement and osteotomy, 28 patients were treated with Ilizarov ring external fixation (Ilizarov group) and 22 with unilateral rail external fixation (unilateral fixation group). All the patients in the two groups had previously undergone internal fixation with plates or Kirschner wires for tibial fracture before bone transport. Bone transport started at one week for three stages after successful infection control and osteotomy and was conducted. The following parameters were compared between the two groups: frame-wearing time and healing index after bone transport, self-rating anxiety scale (SAS) grade at 6 months after bone transport, Paley score and Association for the Study and Application of the Method of Ilizarov (ASAMI) score at the last follow-up, Hospital for Special Surgery (HSS) knee score and Baird-Jackson ankle score on admission, after external fixator removal and at the last follow-up, and incidence of postoperative complications.Results:All the patients were followed up for 28-36 months [(32.5±1.6)months]. There were no significant differences in frame-wearing time or healing index between the two groups after bone transport ( P>0.05). At 6 months after bone transport, the SAS grade in the unilateral fixation group (13 patients with mild anxiety, 8 with moderate anxiety, and 1 with severe anxiety) was better than that in the Ilizarov group (6 patients with mild anxiety, 19 with moderate anxiety, 3 with severe anxiety) ( P<0.01). No significant differences were found in the Paley score or ASAMI score between the two groups at the last follow-up ( P>0.05). There were no significant differences in HSS knee score or Baird-Jackson ankle score between the two groups on admission, after external fixator removal or at the last follow-up ( P>0.05). No significant differences were observed in the incidence of pin tract infection, poor healing, infection in the bone elongation area, or re-fracture between the two groups ( P>0.05). The incidence of postoperative axial deviation was 0 in the Ilizarov group, lower than 18% in the unilateral fixation group (4/22) ( P<0.05). Conclusion:Although Ilizarov ring external fixation and unilateral rail external fixation demonstrate comparable efficacy in the treatment of infected bone defects after surgery for tibial fractures, the former provides superior mechanical stability and postoperative axial deviation correction, while the latter offers advantages in reducing psychological burden and enhancing treatment tolerance.

Total knee arthroplasty(TKA)is mainly used for the treatment of advanced knee osteoarthritis.Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation.However,manual prosthesis recognition rely on doctors'experience,easily leading to misdiagnosis or missed diagnosis.Recent years,artificial intelligence(AI)had been integrated with medical imaging,represented by machine learning(ML)and its branch deep learning(DL),and displayed relatively powerful auxiliary functions in TKA.The research status and application progresses of AI combined with imaging in TKA were reviewed in this article.