Objective To explore the role of plasma exosome microRNA-622(miR-622)in cachexia of hep-atocellular carcinoma(HCC).Methods Select preoperative blood samples from 40 patients with stage Ⅲ-ⅣHCC and 33 patients with non HCC liver benign diseases collected at Huashan Hospital,Fudan University from 2021 to 2024 as the research subjects.Exosomes were isolated from the plasma of patients,human HCC cell lines(HepG2,Hep3B,PLC,Huh7),and the culture supernatants of primary human hepatocytes(PHH)by differential centrifugation.The relative expression level of miR-622 was detected by real-time fluorescence quantitative polymerase chain reaction.The level of lipolysis was assessed by determining the concentration of glycerol and fatty acids in adipocyte culture medium.Results Plasma exosome miR-622 levels in HCC pa-tients were positively correlated with subcutaneous adipose index and visceral adipose index(r=0.516,0.539,P＜0.05).HCC cell conditional medium was able to significantly increase the lipolysis level of adipo-cytes.The relative expression levels of miR-622 in exosomes from HCC cells(HepG2,Hep3B,PLC,Huh7)were significantly lower than those in exosomes from PHH,with values of 0.13±0.04,0.28±0.08,0.23±0.07,and 0.24±0.04,respectively,compared to 1.00±0.18 in PHH exosomes.Further studies revealed that plasma exosome of HCC patients treatment was able to lead to a decrease in the relative expression level of miR-622 in adipocytes,as well as an enhancement of lipolysis.Conclusion The expression of plasma exosomal miR-622 is downregulated in HCC patients.HCC cells can deliver miR-622 to adipocytes via exosomes to reg-ulate lipolysis.Plasma exosomal miR-622 may serve as a potential biomarker for predicting HCC cachexia and a therapeutic target.

BACKGROUND:Titanium implants are widely used in clinical practice because of their high strength and good biocompatibility.However,during implantation,bacterial infection and tissue damage environment produce a large number of reactive oxygen species,which can easily lead to delayed tissue healing and surgical failure.Consequently,the development of titanium implants with antimicrobial and antioxidant properties becomes paramount. OBJECTIVE:Considering the potent antimicrobial attributes of copper ions and the remarkable antioxidant qualities of polyphenols,we proposed the fabrication of polyphenol-mediated copper ion coatings on titanium surfaces.These coatings were subsequently assessed for their in vitro antimicrobial and antioxidant properties. METHODS:Nanostructures were generated on the titanium surface using the alkali thermal method.The titanium was immersed in a solution containing tannic acid and copper ions to achieve polyphenol-mediated copper ion coatings.The surface morphology and water contact angle were detected.The loading and release of copper ions were examined using atomic absorption spectroscopy.Staphylococcus aureus was inoculated on the surface of pure titanium sheet(blank group),alkali heat treated titanium sheet(control group),and polyphenol mediated copper ion modified titanium sheet(experimental group)to observe the bacterial survival status.Osteoblast precursor cells MC3T3-E1 were co-cultivated on the surface of three groups of titanium sheets to assess their antioxidant properties and bioactivity. RESULTS AND CONCLUSION:(1)Scanning electron microscopy showed that the polyphenol-mediated copper ion modified titanium sheet had rod-like nanostructures and no cracks on the surface.The surface hydrophilicity of copper ion modified titanium sheet mediated by polyphenol was close to that of pure titanium sheet.Atomic absorption spectrometry results showed a 51%increase in the loading capacity of copper ions after polyphenol mediation,with a uniform release of copper ions.(2)The antibacterial rates of titanium sheets in the blank group,control group,and experimental group were 0%,21.65%,and 93.75%,respectively.The live/dead staining and CTC staining showed that the live bacteria on the surface of titanium plates in the blank group were the most,and the live bacteria on the surface of titanium plates in the experimental group were the least.(3)The results of live/dead staining and CCK-8 assay showed that the three groups of titanium sheets had good cytocompatibility,and the titanium sheets in the experimental group were more conducive to the proliferation of MC3T3-E1 cells.Active oxygen fluorescence probe detection exhibited that compared with the other two groups,the fluorescence intensity of active oxygen on the surface of the experimental group was significantly reduced.The results of alkaline phosphatase and alizarin red S staining showed that the osteogenic differentiation and extracellular matrix mineralization of MC3T3-E1 cells on the surface of titanium sheets in the experimental group were stronger than those in the other two groups.(4)These results show that the polyphenol-mediated copper ion coating has strong antibacterial and antioxidant properties and promotes osteogenic differentiation.

Objective To explore the predictive value of intratumor and peritumoral edema radiomics combined with the autoencoder algorithm for human epidermal growth factor receptor(HER-2)status in breast cancer to provide a new idea for preoperative noninvasive prediction of HER-2 status.Methods Totally 145 breast cancer patients from Yancheng Hospital Affiliated to Nanjing University Medical College(Center 1)and 52 ones from Jianhu Hospital Affiliated to Nantong University(Center 2)had their clinical and imaging data collected retrospectively,who were divided into a HER-2 positive group including 87 ones from Center 1 and 30 ones from Center 2 and a HER-2 negative group including 58 ones from Center 1 and 22 ones from Center 2.From December 2018 to October 2024 there were 78 patients with peritumoral edema from Center 1 randomly enrolled into a training set(55 patients)and a validation set(23 patients)in a ratio of 7∶3,and from November 2024 to March 2025 another 26 ones placed into a time validation set.The 52 patients with peritumoral edema from Center 2 were included into an external test set.Firstly,the Mazda software was used to delineate the regions of interest for the largest tumor layer and the peritumoral edema area.Secondly,multivariate analysis of variance(ANOVA),Kruskal-Wallis test,recursive feature elimination(RFE)and Relief algorithm were respectively employed to screen the radiomics features;finally,combined with ten-fold cross validation,the receiver operating characteristic curve was drawn,and the diagnostic efficacy of the models respectively constructed with radiomics parameters and ten types of machine learning algorithms,including auto encoder,support vector machine,linear discriminant analysis,random forest,Logistic regression,Logistic regression via Lasso,adaptive boosting,Gaussian process,native Bayes and decision tree,was evaluated for the HER-2 status in breast cancer.Results The model established by the auto encoder algorithm combined with three feature parameters including intratumor MaxNorm and Variance and peritumoral edema SumAverg behaved the best.The average AUC values of the training and validation sets were 0.808 and 0.735 resepctively,and the AUC values of the time validation and external test sets were 0.746 and 0.732 respectively.Conclusion The model developed with intratumor and peritumoral edema radiomics combined with the auto encoder algorithm can be used for preoperative noninvasive prediction of HER-2 status of breast cancer,which provides references for the preparation of individualized treatment scheme of breast cancer patients.[Chinese Medical Equipment Journal,2025,46(9):9-15]

Objective This study aims to explore the diagnostic value of medical indicators in identifying diuretic resistance(DR)among patients with heart failure(HF)using machine learning methods such as Least Absolute Shrinkage and Selection Operator(LASSO)regression.An early recognition model for diuretic resistance in heart failure patients is constructed to provide clinicians with timely intervention opportunities and reduce hospitalization duration.Methods 267 heart failure patients from Tianjin Chest Hospital were included in the study.Standard urine output and DR status were employed as dependent factors,whereas 64 clinical indicators were gathered as independent variables.Depending on the kind of dependent variable,two modeling strategies were used.The first method used LASSO regression to fit the model,and 10-fold cross-validation was used to find the ideal regularization parameter.Standard urine output was used to predict diuretic resistance in the test set.Root mean square error(RMSE),coefficient of determination(R2),and classification accuracy were employed to assess the model's performance.In the second method,the most pertinent subset of features in relation to DR status was selected utilizing the max-relevance and min-redundancy(mRMR)algorithm.After that,three machine learning classifiers were used for classification:support vector machines(SVM),random forests(RF),and logistic regression(LR).Accuracy,precision,recall,area under the receiver operating characteristic curve(AUC),and F1-score were used to evaluate the model's performance.Results The optimal LASSO parameter was 0.0161.On the test set,the RMSE was 0.3489,the R2 was 0.7200,and the classification accuracy was 91.36%.The AUCs for mRMR+LR,mRMR+RF,and mRMR+SVM were 0.94,0.89,and 0.95,respectively.Their accuracies were 0.86,0.77,and 0.90;precisions were 0.87,0.80,and 0.90;recalls were 0.86,0.75,and 0.90;and F1-scores were 0.86,0.75,and 0.90,respectively.In the validation set,the LASSO regression model outperformed the other machine learning methods in predictive performance.Conclusion Diuretic resistance in heart failure patients was successfully detected by both the LASSO regression model and mRMR-based machine learning classifiers.The LASSO regression model performed better than the mRMR-based classifiers,providing more accurate scientific evidence for early clinical intervention.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ 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 investigate a new method for rapid detection of the MYOD1 L122R mutation and to analyze the clinical and pathological characteristics of mutation-positive rhabdomyosarcoma.Methods:A MYOD1 mutation detection kit was developed using allele-specific Taqman fluorescence probe technology. A total of 80 rhabdomyosarcoma samples diagnosed at Beijing Children′s Hospital, Capital Medical University from June 2022 to June 2023 were collected for testing. The detection sensitivity, specificity, and consistency rate of the kit were compared with those of the gold standard Sanger sequencing. The demographic, histopathological, and molecular genetic characteristics of patients with MYOD1 mutations were analyzed.Results:Among the 80 rhabdomyosarcoma cases, there were 46 males and 34 females, with an age of onset ranging from 0 to 16 years [mean (6.0±4.4) years], including 32 embryonal rhabdomyosarcoma, 18 alveolar rhabdomyosarcoma, and 30 spindle cell/sclerosing rhabdomyosarcoma. The new kit screened a total of 11 mutations, of which 10 were spindle cell/sclerosing rhabdomyosarcoma and one was embryonal rhabdomyosarcoma. Patients with MYOD1 mutations were typically older (four cases over 10 years old) but could also occur in young children (the youngest being 3-year and 2-month-old). The primary sites were the head and neck region in eight cases, limbs in two cases, and pelvic cavity in one case. Among the six patients with available staging information at initial diagnosis, one was classified as stage 2 and five were stage 3, all of which were intermediate risk. Among the 11 mutation patients, six had recurrence and metastasis, with three deaths; the remaining patients had not shown tumor progression until last follow-up. Compared with the wild type group, the expression level of MYOD1 in mutation patients increased significantly ( χ2=10.66, P=0.01), while the event-free survival rate ( χ2=9.925, P<0.01) and overall survival ( χ2=4.53, P=0.03) rate decreased. Compared with Sanger sequencing, the kit achieved 100% sensitivity and specificity. The kit had a minimum mutation content detection limit of 2% and the reaction could be finished within 2 hours. Additionally, this kit might also be used to detect the expression of MYOD1, thereby aiding the diagnosis of rhabdomyosarcoma. Conclusions:The study has established a new method for accurate and rapid detection of MYOD1 mutation in rhabdomyosarcoma, particularly suitable for the formalin-fixed and paraffin-embedded samples in clinical settings. MYOD1 mutations more likely occur in spindle cell/sclerosing rhabdomyosarcoma of the head and neck region in children. Patients with MYOD1 mutations have an extremely poor prognosis, which is independent of clinical staging and grading. MYOD1 mutation detection in rhabdomyosarcoma has significant value for auxiliary diagnosis and prognostic assessment.

Objective:To analyze the protective effect of a respiratory syncytial virus (RSV) vaccine based on bacterial outer membrane vesicle (OMV) in mice.Methods:The pre-fusion protein (preF) of RSV was linked to the surface of OMV through the transmembrane protein cytolysin A (ClyA) to form the nanovaccine OMV-preF. The morphological characteristics of OMV and OMV-preF were observed under a transmission electron microscope. OMV-preF was intramuscularly injected into BALB/c mice and the elicited humoral and cellular immune responses were evaluated. The protective effect of OMV-preF was assessed by challenging the immunized mice with RSV Long strain. One-way analysis of variance and Tukey test were used for statistical analysis.Results:The results showed that preF was stably expressed in OMV, and both OMV-preF and OMV exhibited a double-layer vesicle structures under the microscope. OMV-preF could significantly activate the cellular and humoral immune responses in mice, causing a significant increase in CD8 + T cells and CD19 + B cells as well as a significant increase in the serum level of specific IgG. The neutralizing antibodies produced in the immunized mice could significantly inhibit the replication of RSV Long strain in vivo. Conclusions:The nanovaccine OMV-preF can induce high-level humoral and cellular immune responses, and the antibodies produced following immunization can effectively inhibit viral replication. This study provides a new strategy for RSV subunit vaccines.

Objective:To investigate the causes and management strategies of anesthetic complications during percutaneous spinal endoscopic surgery under local anesthesia.Methods:A total of 16 800 patients (8 625 males and 8 175 females) who underwent percutaneous spinal endoscopic surgery under local anesthesia (including intravenous basic anesthesia) in Tianjin Hospital, Shandong Public Health Clinical Center and Hebei General Hospital from February 2012 to February 2023 were retrospectively analyzed. The average age was 45.3±21.6 years (range, 12-84 years). There were 220 cases of posterior cervical keyhole endoscopic surgery, 50 cases of thoracic transforaminal endoscopic surgery, 70 cases of thoracic posterior interlaminar endoscopic surgery, 11 670 cases of lumbar transforaminal endoscopic surgery, and 4 790 cases of lumbar posterior interlaminar endoscopic surgery. The occurrence time, clinical manifestations, management of intraoperative anesthesia complications were recorded, as well as surgical segments, puncture sites, complication symptoms, signs, outcome and prognosis.Results:All patients received percutaneous water-mediated uniaxial spinal endoscopic surgery under local anesthesia. There were 9 patients experienced anesthesia complications, including 6 cases of epidural diffusion of anesthetics and 3 cases of anesthetics mistakenly entering the subarachnoid space. There were 4 males and 5 females, aged 48.4±18.2 years (range, 28-84 years). There were 1 case of T 12L 1 disc herniation, 1 case of C 5-6 disc herniation, 3 cases of L 4-5 disc herniation and 4 cases of L 5S 1 disc herniation. Surgical segments and procedures: 1 case of C 5-6 posterior Keyhole endoscopic surgery, 1 case of T 12L 1 transforaminal endoscopic surgery, 2 cases of L 4-5 transforaminal endoscopic surgery, 1 case of L 4-5 interlaminar endoscopic surgery, and 4 cases of L 5S 1 interlaminar endoscopic surgery. Anesthesia complications all appeared 5-10 min after injection of local anesthetics, with symptoms of decreased oxygen saturation, decreased blood pressure, altered consciousness, and sensory and motor dysfunction of limbs. 6 patients with epidural diffusion of anesthetics recovered completely after symptomatic treatment in 5 cases, and 1 case was left with foot drop. Three patients with anesthetics mistakenly entering the subarachnoid space were immediately converted to the supine position, of which one recovered by mask oxygenation; 1 patient improved after emergency tracheal intubation, rehydration, and application of vasoconstrictive medications; and 1 patient developed multiple complications such as multiorgan failure, rhabdomyolysis, and sepsis after tracheal intubation, and recovered at 3 months after surgery with symptomatic treatment. Conclusions:Epidural diffusion and entering into subarachnoid space of anesthetics are serious complications of local anesthesia in percutaneous spinal endoscopic surgery. In addition to sensory and motor dysfunction of the limbs, the functions of the respiratory and circulatory systems can also be affected. It is necessary to be alert to the occurrence of anesthesia-related complications during operation and early identification and treatment.

Pathogens, including bacteria, viruses, and fungi, can cause infections and inflammatory responses when invading the human body, posing life-threatening risks in severe cases. Pathogen culturing is considered the gold standard for diagnosing infections, but its time-consuming nature hampers early clinical diagnosis. Polymerase chain reaction offers high sensitivity and specificity but can result in false-negative outcomes. Nanopore sequencing, which features real-time sequencing while unwinding the DNA strands, allows for direct sequencing and immediate analysis. In viral detection, it rapidly obtains pathogen genomes and identifies genetic variations. Direct sequencing of the 16S ribosomal RNA in bacteria and the internal transcribed spacer sequences in fungi enables early diagnosis. It can also detect bacterial resistance, guiding clinical doctors in selecting appropriate antibiotics. Additionally, rapid pathogen detection can be achieved in vector-borne diseases and rare diseases. With advancements in technologies such as deep learning, nanopore sequencing technology is expected to become a powerful tool for early diagnosis of infectious pathogens.