Transarterial radioembolization (TARE) is a widely utilized therapeutic approach for hepatocellular carcinoma (HCC), however, the clinical implementation is constrained by the stringent preparation conditions of radioembolization agents. Herein, we incorporated the superstable homogeneous iodinated formulation technology (SHIFT), simultaneously utilizing an enhanced solvent form in a carbon dioxide supercritical fluid environment, to encapsulate radionuclides (such as ¹³¹I,¹⁷⁷Lu, or ¹⁸F) with lipiodol for the preparation of radiolipiodol. The resulting radiolipiodol exhibited exceptional stability and ultra-high labeling efficiency (≥99%) and displayed notable intratumoral radionuclide retention and in vivo stability more than 2 weeks following locoregional injection in subcutaneous tumors in mice and orthotopic liver tumors in rats and rabbits. Given these encouraging findings, ¹⁸F was authorized as a radiotracer in radiolipiodol for clinical trials in HCC patients, and showed a favorable tumor accumulation, with a tumor-to-liver uptake ratio of ≥50 and minimal radionuclide leakage, confirming the feasibility of SHIFT for TARE applications. In the context of transforming from preclinical to clinical screening, the preparation of radiolipiodol by SHIFT represents an innovative physical strategy for radionuclide encapsulation. Hence, this work offers a reliable and efficient approach for TARE in HCC, showing considerable promise for clinical application (ChiCTR2400087731).

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

BACKGROUND:Poor prognosis of hip arthroplasty in patients with osteoporosis seriously affects the patients'quality of life.Accurately predicting the risk factors for poor prognosis of hip arthroplasty in patients with osteoporosis remains a major challenge for orthopedic surgeons.OBJECTIVE:To explore risk factors for poor prognosis after hip arthroplasty in patients with osteoporosis and construct a Nomogram prediction model.METHODS:A total of 192 patients with osteoporosis who underwent hip arthroplasty in Nanyang Second People's Hospital from July 2020 to June 2022 were selected as study subjects.Harris hip function scale was performed 6 months after operation.Patients with Harris score ≥ 80 were included in the good prognosis group(n=142),while patients with Harris score＜80 were included in the poor prognosis group(n=50).Clinical data of the two groups were collected and subjected to univariate analysis.Receiver operating characteristic curves were used to analyze the predictive value of the measures for poor prognosis after hip arthroplasty in patients with osteoporosis.Binary logistic regression was used to analyze the risk factors affecting poor prognosis after hip arthroplasty in patients with osteoporosis.The Nomogram prediction model for poor prognosis after hip arthroplasty in patients with osteoporosis was constructed.The calibration curve was internally validated and the concordance index was calculated,and the decision curve was evaluated for clinical predictive efficacy.RESULTS AND CONCLUSION:(1)The differences between the two groups were statistically significant in terms of age,body mass index,operative time,intraoperative bleeding,serum albumin,peripheral blood lymphocyte count,prognostic nutritional index,and complications(P＜0.05).(2)Area under the curve for age,body mass index,operative time,intraoperative bleeding,serum albumin,peripheral blood lymphocyte count,and prognostic nutritional index were 0.813,0.780,0.787,0.764,0.777,0.785,and 0.818.(3)Age,body mass index,intraoperative bleeding,and complications were risk factors for poor prognosis after hip arthroplasty in patients with osteoporosis.(4)The corrected,raw curve of the nomogram prediction model was close to the ideal curve with a concordance index of 0.851(0.815-0.886)and a good model fit,with a threshold of＞0.12 for the Nomogram prediction model to provide a net clinical benefit,and all net clinical benefits were higher than the independent predictors.(5)It is concluded that age,body mass index,intraoperative bleeding,and complications are risk factors affecting the poor prognosis of osteoporotic patients after hip arthroplasty.The Nomogram prediction model constructed based on this can help clinicians assess the prognosis of osteoporotic patients after hip arthroplasty,develop personalized interventions,improve prognosis,and enhance the quality of life.

BACKGROUND:Poor prognosis of hip arthroplasty in patients with osteoporosis seriously affects the patients'quality of life.Accurately predicting the risk factors for poor prognosis of hip arthroplasty in patients with osteoporosis remains a major challenge for orthopedic surgeons.OBJECTIVE:To explore risk factors for poor prognosis after hip arthroplasty in patients with osteoporosis and construct a Nomogram prediction model.METHODS:A total of 192 patients with osteoporosis who underwent hip arthroplasty in Nanyang Second People's Hospital from July 2020 to June 2022 were selected as study subjects.Harris hip function scale was performed 6 months after operation.Patients with Harris score ≥ 80 were included in the good prognosis group(n=142),while patients with Harris score＜80 were included in the poor prognosis group(n=50).Clinical data of the two groups were collected and subjected to univariate analysis.Receiver operating characteristic curves were used to analyze the predictive value of the measures for poor prognosis after hip arthroplasty in patients with osteoporosis.Binary logistic regression was used to analyze the risk factors affecting poor prognosis after hip arthroplasty in patients with osteoporosis.The Nomogram prediction model for poor prognosis after hip arthroplasty in patients with osteoporosis was constructed.The calibration curve was internally validated and the concordance index was calculated,and the decision curve was evaluated for clinical predictive efficacy.RESULTS AND CONCLUSION:(1)The differences between the two groups were statistically significant in terms of age,body mass index,operative time,intraoperative bleeding,serum albumin,peripheral blood lymphocyte count,prognostic nutritional index,and complications(P＜0.05).(2)Area under the curve for age,body mass index,operative time,intraoperative bleeding,serum albumin,peripheral blood lymphocyte count,and prognostic nutritional index were 0.813,0.780,0.787,0.764,0.777,0.785,and 0.818.(3)Age,body mass index,intraoperative bleeding,and complications were risk factors for poor prognosis after hip arthroplasty in patients with osteoporosis.(4)The corrected,raw curve of the nomogram prediction model was close to the ideal curve with a concordance index of 0.851(0.815-0.886)and a good model fit,with a threshold of＞0.12 for the Nomogram prediction model to provide a net clinical benefit,and all net clinical benefits were higher than the independent predictors.(5)It is concluded that age,body mass index,intraoperative bleeding,and complications are risk factors affecting the poor prognosis of osteoporotic patients after hip arthroplasty.The Nomogram prediction model constructed based on this can help clinicians assess the prognosis of osteoporotic patients after hip arthroplasty,develop personalized interventions,improve prognosis,and enhance the quality of life.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective To explore the effect of UBE2I and FCGR1A gene expressions on the incidence of acquired immune deficiency syndrome(AIDS)combined with active pulmonary tuberculosis(APTB),so as to provide basis for disease monitoring.Methods A total of 98 AIDS patients combined with APTB and 84 AIDS patients combined with latent tuberculosis infection(LTBI)were selected from the validated whole genome transcriptome dataset(GSE37250).The top 30 differentially expressed genes(DEGs)in the two groups of patients were screened.We established the PPI interaction network,transcription factor-differentially expressed gene(TF-DEG),DEG-miRNA,and environmental chemical regulation network of the top 30 DEGs.Receiver operating characteristic(ROC)curves of 11 key DEGs were plotted and Logistic regression analysis was performed.Results There were 6 054 DEGs in the two groups of patients,and UBE2I was an important core node of the PPI interaction network.FCGR1A had the best predictive and indicative ability for AIDS combined with APTB.Univariate Logistic regression showed that high expressions of UBE2I and FCGR1A were risk factors for AIDS combined with APTB(P＜0.05).The regulatory network showed that VEGFB was a key gene in the TF-DEG network,participating in regulation with transcription factors such as SEPT9 and SMAD5.It targeted miRNAs such as hsa-mir-17-5p and hsa-mir-20a-5p,and was affected by environmental chemicals such as valproic acid and copper sulfate.Conclusion VEGFB plays an important role in the pathogenesis of AIDS combined with APTB.The abnormally high expressions of UBE2I and FCGR1A are associated with the disease progression of AIDS combined with APTB.The disease condition can be monitored by detecting the expression level of UBE2I and FCGR1A.

Objective:To analyze the incidence and epidemiological characteristics of traumatic spinal cord injury in China in 2018.Methods:Multi-stage stratified cluster sampling was used to randomly select hospitals capable of treating patients with spinal cord injury from 3 regions，9 provinces and 27 cities in China to retrospectively investigate eligible patients with traumatic spinal cord injury admitted in 2018. National and regional incidence rates were calculated. The data of cause of injury，injury level，severity of injury，segment and type of fracture，complications，death and other data were collected by medical record questionnaire，and analyzed according to geographical region，age and gender.Results:Medical records of 4，134 patients were included in this study，with a male-to-female ratio of 2.99∶1. The incidence of traumatic spinal cord injury in China in 2018 was 50.484 / 1 million （95% CI 50.122-50.846）. The highest incidence in the Eastern region was 53.791 / 1 million （95% CI 53.217-54.365）. In the whole country，the main causes of injury were high falls （29.58%），as well as in the Western region （40.68%），while the main causes of injury in the Eastern and Central regions were traffic injuries （31.22%，30.10%）. The main injury level was cervical spinal cord in the whole country （64.49%），and the proportion of cervical spinal cord injury in the Central region was the highest （74.68%），and the proportion of lumbosacral spinal cord injury in the Western region was the highest （32.30%）. The highest proportion of degree of injury was incomplete quadriplegia （55.20%），and the distribution pattern was the same in each region. A total of 65.87% of the patients were complicated with fracture or dislocation，77.95% in the Western region and only 54.77% in the Central region. In the whole country，the head was the main combined injury （37.87%），as well as in the Eastern and Central regions，while the proportion of chest combined injury in the Western region was the highest （38.57%）. A total of 32.90% of the patients were complicated with respiratory complications. There were 23 patients （0.56%） died in hospital，of which 17（73.91%） died of respiratory dysfunction. Conclusions:The Eastern region of China has a high incidence of traumatic spinal cord injury. Other epidemiological features include high fall as the main cause of injury cervical spinal cord injury as the main injury level，incomplete quadriplegia as the main degree of injury，head as the main combined injury，and respiratory complications as the main complication.

OBJECTIVES: Coronavirus disease 2019 (COVID-19) is an acute respiratory infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 can damage the myocardium directly, or activate the immune system, trigger a cytokine storm, and cause inflammatory cells to infiltrate the myocardial tissue and damage the myocardium. This study is based on the sequencing data to analyze the changes in gene expression of cardiomyocytes and macrophages after SARS-CoV-2 infection, and explore the potential effects of SARS-CoV-2 on the heart and immune system. METHODS: The public data set GSE151879 was retrieved. The online software Network Analyst was used to preprocess the data, and the differentially expressed genes (DEGs) [log RESULTS: After data standardization, the data quality was excellent and it can ensure reliable results. Myocardial cell infection with SARS-CoV-2 and gene expression spectrum were changed significantly, including a total of 484 DEGs in adult cardiomyoblasts, a total of 667 DEGs in macrophages, and a total of 1 483 DEGs in human embryo source of cardiomyopathy. The Stum, mechanosensory transduction mediator homolog (STUM), dehydrogenase/reductase 9 (DHRS9), calcium/calmodulin dependent protein kinase II beta (CAMK2B), claudin 1(CLDN1), C-C motif chemokine ligand 2 (CCL2), TNFAIP3 interacting protein 3 (TNIP3), G protein-coupled receptor 84 (GPR84), and C-X-C motif chemokine ligand 1 (CXCL1) were identical in expression patterns in 3 types of cells. The protein-protein interaction suggested that CAMK2B proteins may play a key role in the antiviral process in 3 types of cells; and silicon dioxide (SiO CONCLUSIONS CAMK2B, CLDN1, CCL2, and DHRS9 genes play important roles in the immune response of cardiomyocytes against SARS-CoV-2. SiO
COVID-19 ; Humans ; Macrophages ; Myocytes, Cardiac ; SARS-CoV-2 ; Silicon Dioxide ; Transcriptome

【Objective】 Based on the high-throughput sequencing data of the whole genome， genomics and bioinformatics analyses were made to analyze the gene expression changes in the epithelial cells of the lung tissue from patients with coronavirus disease 2019 （COVID-19）， and explore the effects of the new coronavirus SARS-CoV-2 on human lungs. This study can provide a theoretical basis for the exploration of SARS-CoV-2 on the pathogenesis of lung tissue. 【Methods】 The public data set GSE160435 was retrieved. The data were analyzed by Network analyst， Cytoscape 3.7.2， String 11.0， and other software. The differentially expressed genes were screened， gene function （Gene Ontology， GO） and signal pathway KEGG （Kyoto Encyclopedia of Genes and Genomes） enrichment analysis were carried out. We established the Protein-protein Interactions Network （PPI）， PPI of lung tissue-specific DEGs， DEG microRNA regulatory network， Transcription Factor （TF）-DEG regulatory network， and environmental chemicals DEGs regulatory network. 【Results】 We found 324 DEGs in the lung epithelial cells of patients with COVID-19， of which 112 （34.57%） were upregulated and 212 （65.43%） were downregulated. Enrichment analysis showed that DEGs were mainly involved in biological processes such as virus-related defense response， mainly involved in protein digestion and absorption， anti-human papillomavirus infection and other signaling pathways. Specific PPI network closely related to DEGs and lung tissue showed that PDGFRB and KIT were core proteins； hsa-mir-340 had targeted interaction with DEGs. It indicated that HOXB4， ISG15 and other related genes were regulated by transcription factors； DEGs interacted with environmental chemicals such as nickel and estradiol. 【Conclusion】 The gene expression pattern of lung epithelial cells in lung tissue of COVID-19 patients has changed significantly. Proteins or genes such as PDGFRB， MMP9 and KIT may play a vital role in the defense immunity of lung tissue. Micro-RNA， TF， signaling pathway molecules， environmental chemicals， and lung tissue-specific genes also play a role in the above-mentioned process. This study provides new ideas for exploring the pathogenic mechanism of SARS-CoV-2 on lung tissue and formulating clinical prevention， diagnosis and treatment measures.