Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

To facilitate the early intelligent screening of pediatric genu valgum, this study develops a deep learning-based gait recognition model tailored for clinical application. The model is constructed upon a three-dimensional residual network architecture and incorporates a triplet attention module alongside a spatial hierarchical pooling module, jointly enhancing feature interaction across temporal, spatial, and channel dimensions. This design ensures an optimal balance between representational capacity and computational efficiency. Evaluated on a self-constructed dataset, the model achieves precision of 98.0%, 97.1%, and 96.5%, recall rates of 97.5%, 97.0%, and 95.0%, and F ₁-scores of 0.98, 0.97, and 0.96 on the training, validation, and test sets, respectively, demonstrating excellent recognition performance and strong generalization ability. Ablation experiments confirm the importance of the proposed model's core components in improving performance, and comparative experiments further highlight its significant advantages in recognition accuracy and robustness. Visualization experiments reveal that the model effectively focuses on key regions of gait images, with attention regions aligning closely with clinical anatomical landmarks, thereby enhancing the interpretability of the model's decision-making in clinical applications. In summary, the proposed model not only offers an efficient and reliable technical solution for early intelligent screening of genu valgum in children, but also provides a practical pathway for applying gait recognition technology in medical diagnosis.
Humans ; Gait ; Deep Learning ; Genu Valgum/physiopathology* ; Child ; Neural Networks, Computer ; Algorithms

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

The healing of the tendon-bone interface is a complex dynamic process involving the interaction of multiple cellular and molecular signaling pathways. Bone mesenchymal stem cells (BMSCs) have the potential to differentiate into various types of cells, including osteoblasts, chondrocytes and adipocytes, etc., and have the potential to regenerate damaged tissues. They are potential seed cells for promoting tendon-bone healing. How to precisely regulate the proliferation and differentiation of BMSCs to accelerate the process of tendon-bone healing is a current research hotspot. Monomers of traditional Chinese medicine can promote tendon-bone healing by regulating signaling pathways such as Wnt/β-catenin and BMP/Smad to induce osteogenic and chondrogenic differentiation of BMSCs. This article reviews from several aspects such as the regulatory role of related signaling pathways on tendine-bone healing, traditional Chinese medicine monomers and their mechanism of regulating BMSCs to promote tendine-bone healing in order to providing new ideas for promoting tendine-bone healing.
Mesenchymal Stem Cells/cytology* ; Humans ; Animals ; Bone Marrow Cells/cytology* ; Bone and Bones/drug effects* ; Wound Healing/drug effects* ; Medicine, Chinese Traditional ; Tendons/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Signal Transduction/drug effects* ; Cell Differentiation/drug effects*

OBJECTIVE: To explore the efficacy and safety of human epidermal growth factor gel in the treatment of pin tract infections after surgery in patients with severe spinal deformity. METHODS: A retrospective case-control study was conducted to analyze the clinical data of 26 patients with pin tract infections after skull-pelvic ring traction for severe spinal deformity admitted from February 2019 to May 2022. Among them, 11 were male and 15 were female;the age ranged from 18 to 31 years, with an average of (24.1±4.3) years;the Cobb angle ranged 80.3° to 120.7°, with an average of (88.6±10.2)°;there were 52 iliac traction pins, 104 pin tract openings, and 38 pin tract infections. According to the Checketts-Otterbum classification, there were 11 infections of gradeⅠ, 13 infections of gradeⅡ, 10 infections of grade Ⅲ, and 4 infections of grade Ⅳ. The patients were divided into the conventional dressing change group (13 cases) and the growth factor group (13 cases) by coin flipping. Clinical efficacy was evaluated by recording the visual analogue scale(VAS) score during dressing change, duration of dressing change, cost of dressing change, positive rate of bacterial culture, wound improvement rate, and wound improvement time. RESULTS: There were no statistically significant differences in VAS or duration of dressing change between the two groups (P>0.05). The cost of dressing change was (800.0±59.5) yuan in the conventional dressing change group and (1 179.5±80.9) yuan in the growth factor group, with a statistically significant difference (P<0.05). There was no statistically significant difference in the positive rate of bacterial culture between the two groups (P>0.05). In the conventional dressing change group, within 20 pin tract infections, 2 infections achieved wound healing, 7 infections showed improvement, and 11 infections were ineffective;in the growth factor group, within 18 pin tract infections 5 infections achieved wound healing, 8 infections showed improvement, and 5 infections were ineffective, with a statistically significant difference between the two groups (P<0.05). The wound healing time was (22.8±4.9) days in the conventional dressing change group and (14.2±2.5) days in the growth factor group, with a statistically significant difference (P<0.05). No complications occurred in either group. CONCLUSION The application of human epidermal growth factor gel in the treatment of pin tract infections after skull-pelvic ring surgery in patients with severe spinal deformity is easy to operate, does not increase patient pain, and has significant efficacy. It shortens wound healing time, effectively promotes wound healing, and has good safety and high cost-effectiveness.
Humans ; Male ; Female ; Adult ; Adolescent ; Retrospective Studies ; Case-Control Studies ; Young Adult ; Epidermal Growth Factor/therapeutic use* ; Traction/adverse effects* ; Gels ; Bone Nails/adverse effects* ; Surgical Wound Infection/drug therapy*

OBJECTIVE: To investigate the short-to-medium-term clinical efficacy of total hip arthroplasty(THA) with Pinnacle ES constrained liner in the treatment of femoral neck fractures(FNF) associated with lower limb neuromuscular disorders. METHODS: A retrospective analysis was conducted on 16 patients who underwent primary THA using Pinnacle ES constrained liner for FNF with lower limb neuromuscular disorders and had complete follow-up data, treated between January 2020 and January 2023. There were 7 males and 9 females, with a mean age of (68.42±3.58) years old ranging from 61 to 75 years old. Among them, 10 cases had left-sided fractures and 6 had right-sided fractures;based on the Garden classification, 11 cases were type Ⅲ and 5 cases were type Ⅳ. The affected limbs were complicated with sequelae of poliomyelitis (2 cases), Parkinson's disease (2 cases), and sequelae of cerebral infarction (12 cases). All operations were performed via a posterolateral approach. Prosthesis position was evaluated using imaging data. Hip function was assessed by the Harris hip score(HHS) and Merle D'Aubigne hip score. During the follow-up period, the occurrence of complications such as prosthetic dislocation, loosening, and infection was recorded. RESULTS: One patient died of advanced tumor 2 years after surgery, and the remaining 15 patients were followed up for 24 to 64 months with a mean of (34.8±5.5) months. The operation time ranged from 50 to 90 minutes with a mean of (75.56±8.15) minutes, and the blood loss ranged from 150 to 200 ml with a mean of (170.32±12.56) ml. All patients achieved primary wound healing after surgery. Intraoperatively, femoral calcar splitting occurred in 2 cases, which were treated with titanium cable binding;no neurovascular injuries were observed in any case. The mean HHS increased from (18.95±2.25) preoperatively to (88.02±2.42) at the last follow-up, and the mean Merle D'Aubigne Score increased from (3.05±0.06) preoperatively to (16.65±0.93) at the last follow-up. Postoperative follow-up X-rays showed good prosthetic position, and no complications such as dislocation, prosthetic loosening, periprosthetic fracture, or deep infection occurred during the follow-up period. CONCLUSION Total hip arthroplasty with Pinnacle ES constrained liner is effective in the treatment of femoral neck fractures associated with lower limb neuromuscular disorders. It can significantly improve hip function, reduce the postoperative prosthetic dislocation rate, provide good initial stability, and achieve satisfactory short-to-medium-term clinical efficacy.
Humans ; Male ; Female ; Middle Aged ; Aged ; Arthroplasty, Replacement, Hip/methods* ; Femoral Neck Fractures/complications* ; Retrospective Studies ; Neuromuscular Diseases/surgery* ; Lower Extremity ; Treatment Outcome

The deficiency in immunogenicity and the presence of immunosuppression within the tumor microenvironment significantly hindered the efficacy of immunotherapy. Consequently, a nanoformulation containing metal sulfide of FeS and GSDMD plasmid (NP_FeS/GD) had been developed to effectively augment antitumor immune responses through dual activation of immunogenic PANoptosis and ferroptosis, as well as reprogramming immunosuppressive effects via H₂S amplification. The bioactive NP_FeS/GD exhibited controlled release of GSDMD plasmid, H₂S, and Fe²⁺ in response to the tumor microenvironment. Fe²⁺, H₂S, and the expression of GSDMD protein could effectively elicit highly immunogenic PANoptosis and ferroptosis. Furthermore, releasing H₂S could mitigate the overexpression of indoleamine 2,3-dioxygenase1 (IDO1) induced by immunogenic PANoptotic and ferroptotic cell death and disrupt the activity of IDO1. Consequently, NP_FeS/GD effectively triggered the antitumor innate and adaptive immune responses through induction of PANoptotic and ferroptotic cell death and reshaped the tumor immunosuppressive microenvironment to enhance antitumor immunotherapy for metastasis inhibition. This study unveiled the significant potential of immunogenic PANoptosis and ferroptosis in H₂S gas therapy for enhancing tumor immunotherapy, offering novel insights and ideas for the rational design of nanomedicine to enhance tumor immunogenicity while reprogramming the tumor immunosuppressive microenvironment.

G protein-coupled receptors (GPCRs) are significant drug targets, but their potential in cancer therapy remains underexplored. Conventional GPCR agonists or antagonists have shown limited effectiveness in cancer treatment, necessitating new GPCR-targeting strategies for more effective therapies. This study discovers that Yersinia pestis LcrV, a crucial linker protein for plague infection, acts as a biased agonist of a GPCR, the formyl peptide receptor 1 (FPR1). The LcrV protein induces unique conformational changes in FPR1, resulting in G proteins being activated in a distinctive state without subunit dissociation. This leads to a biased signaling profile characterized by cyclic adenosine monophosphate (cAMP) responses and β-arrestin2 recruitment, but not calcium mobilization. In FPR1-expressing triple-negative breast cancer (TNBC) cells, LcrV bi-directionally modulates intracellular signaling pathways, downregulating extracellular signal-regulated kinases (ERK1/2) and Akt pathways while upregulating Jun N-terminal kinase (JNK) and p38 pathways. This dual modulation results in cell cycle arrest and the inhibition of TNBC cell proliferation. In TNBC xenograft mouse models, long-term LcrV treatment inhibits tumor growth more effectively than a conventional FPR1 antagonist. Additionally, LcrV treatment reprograms tumor cells by reducing stemness-associated proteins OCT4 and c-MYC. Our findings highlight the potential of biased GPCR agonists as a novel GPCR-targeting strategy for cancer treatment.