To investigate the chemical constituents of the endophytic fungus Penicillium sp. FJ-1 of Ceriops tagal, the chemical constituents were isolated by column chromatography on silica gel and Sephadex LH-20. Their structures were elucidated on the basis of spectroscopic analysis. Their antibacterial activity was tested by paper disco diffusion method. Two compounds were isolated and identified as 7-hydroxy-deoxytalaroflavone (1), and deoxytalaroflavone (2). Compound 1 is a new compound, and compounds 1 and 2 showed weak activity against Staphylococcus aureus and methicillin-resistant Staphylococcus aureus.

Objective:To investigate the immune response characteristics of helper T cells Th1, Th2, Th17 and their related cytokines in acute, chronic and recovery phases after Brucella infection. Methods:Using prospective study, a total of 130 patients with brucellosis in the First Affiliated Hospital of Medical College of Shihezi University from January 2017 to December 2018 were selected as the research subjects, including acute phase group (49 cases), chronic phase group (44 cases), recovery phase group (37 cases), and 30 cases of healthy physical examination during the same period were included in the control group. The peripheral blood samples of all subjects were collected, and flow cytometry was used to detect Th1, Th2 and Th17 cells in the peripheral blood; the cytometry bead array (CBA) was used to detect the serum cytokines interferon-γ (IFN-γ), interleukin (IL)-4 and IL-17A expression levels.Results:In the control, acute phase, chronic phase and recovery phase groups, the differences of the expression ratios of Th1 [(1.03 ± 0.85)%, (5.46 ± 3.54)%, (4.48 ± 2.26)%, (2.29 ± 2.25)%], Th2 [(4.72 ± 2.36)%, (7.00 ± 3.14)%, (13.99 ± 9.14)%, (5.89 ± 4.69)%], and Th17 cells [(2.09 ± 0.48)%, (3.04 ± 2.17)%, (3.61 ± 2.67)%, (2.74 ± 2.58)%] were statistically significant ( F = 20.95, 21.15, 2.90, P < 0.05). Compared with the control group, the expressions ratio of Th1, Th2, Th17 cells in acute and chronic phase groups and Th1 cells in recovery phase group were significantly higher ( P < 0.05); compared with the recovery phase group, the expressions ratio of Th1, Th2 and Th17 cells in acute and chronic phase groups were significantly higher, but the expression ratio of Th2 cells in acute phase group was lower than that in chronic phase group ( P < 0.05). The expression levels of IFN-γ, IL-4, and IL-17A in serum of control group, acute phase, chronic phase and recovery phase groups were significantly different ( F = 7.79, 15.85, 7.55, P < 0.05); compared with the control group, the expression levels of IFN-γ, IL-4, IL-17A in acute and chronic phase groups and IFN-γ, IL-4 in recovery phase group were significantly higher ( P < 0.05); compared with the recovery phase group, the expression levels of IFN-γ, IL-4, IL-17A in acute phase group and IFN-γ, IL-17A in chronic phase group were significantly higher ( P < 0.05). The expression ratio of Th1 cells in recovery phase patients who finished treatment for less than 12 months was significantly higher than that of recovery phase patients who finished treatment for ≥12 months ( t = 2.26, P < 0.05). Conclusions:After patients are infected with Brucella, Th1 cell immunity is dominant in acute phase, Th2 cell immunity is dominant in chronic phase, and there is no significant difference in the response of Th17 cell immunity between acute and chronic phases. The immune function of patients in the recovery phase may still be abnormal when the treatment time is less than 12 months. Some clinically cured patients in the recovery phase still have a relatively high proportion of Th1 cells, suggesting that the patient's immune function has not fully recovered.

Objective:To investigate the effect of serum cystatin C level on the occurrence and its long-term prognosis of contrast agent-induced acute kidney injury(CI-AKI)after percutaneous coronary intervention(PCI)in elderly patients.Methods:A total of 848 elderly patients(≥60 years)undergoing PCI in our department between Mar 2015 and Dec 2017 were enrolled in a prospective cohort.The CI-AKI was defined as the increase of serum creatinine ≥44.2 μmol/L within 48-72 h after using iodine contrast agent or more than 25 % higher than base level within 48-72 h after PCI.A receiver operating characteristic curve was used to analyze the optimal cut-off value of Cystatin C for predicting CI-AKI after PCI.Patients were divided into 2 groups based on the optimal cut-off value of Cystatin C: the high Cystatin C group(Cystatin C ≥1.3 mg/L, n=178)and the control group(Cystatin C<1.3 mg/L, n=670). The differences in the incidence of CI-AKI after PCI and major adverse cardiac events(MACE)at 1 year follow-up were compared between the two groups.The Cox regression model was further used to analyze the predictors of the long-term prognosis after PCI.Results:Of 848 patients receiving PCI, the incidence of CI-AKI was 9.4%.The incidence of MACE at 1 year after PCI was higher in the high Cystatin C group than in the control group(15.7% vs.9.3%, χ2=6.524, P=0.011). Cox regression analysis confirmed that the high baseline level of Cystatin C was the most independent predictive factor for MACE at 1 year of follow-up( HR=16.244, P<0.001). Conclusions:The high baseline level of Cystatin C(≥1.3 mg/L)is an independent risk factor for CI-AKI and is also the most important predictor for the occurrence of long-term MACE in elderly patients undergoing PCI.

To report the short-term clinical outcome of three cases of distal tibial osteosarcoma treated with a novel 3D-printed ankle fusion prosthesis for limb preservation. The patients were admitted to the Department of Bone Tumor, Shanghai General Hospital from January 2020 to June 2021, with one male and two female cases, aged 18, 12, and 14 years, respectively, all diagnosed with distal tibial osteosarcoma (Ennecking stage IIb). A new self-designed ankle fusion prosthesis was used to perform osteosarcoma resection and prosthetic reconstruction of the distal tibia. The operation time, blood loss, postoperative American Orthopedic Foot and Ankle Society Score (AOFAS) and ankle range of motion were recorded. All the 3 patients successfully completed the operation and were followed up for 22 months, 18 months and 12 months, respectively. The operation time was 140 min, 110 min and 200 min, and the blood loss was 200 ml, 200 ml and 350 ml, respectively. At the last follow-up, the AOFAS were 86, 90 and 95 points, and the range of motion of ankle flexion and extension were 30°, 15° and 30°. There was no local recurrence or lung metastasis at the last follow-up. The novel 3D-printed ankle fusion prosthesis in the distal tibia is safe and effective for the reconstruction of bone defects after resection of osteosarcoma in the distal tibia, and the early postoperative function is satisfactory.

Objective:Limb salvage treatment for osteosarcoma in the distal tibiais challenging and the incidence of postoperative complications is high. To prove that the use of autologous bone inactivation to replant the ankle joint has a satisfactory clinical effect.Methods:This study retrospectively studied 6 cases (4 males and 2 females) of the osteosarcoma of the distal tibia from June 2018 to April 2019 in our center. The average case age was 16.8 years. All cases were first diagnosed in the center, and classic osteosarcoma was confirmed by biopsy. Before the operation, he received 4 courses of neoadjuvant chemotherapy. The tumor was resected under general anesthesia, and the tumor bone was inactivated and replanted for internal fixation and reconstruction. During the operation, the tumor segment was completely removed, and after a series of treatments, it was immersed in hypertonic saline at 65 °C for 45 min. After removal, the bone defect was filled with bone cement, and internal fixation materials such as plate screws and anchors were placed. Finally, soft tissue was rebuilt after the inactivated bone internal fixation complex (autograft-fixation composite, AFC) was replanted. Patients were treated with plaster for 3 months after surgery. Chemotherapy continued 2 weeks after surgery. Follow-up X-ray of the lower tibia were taken at 3 months, 6 months, and 12 months after the operation to evaluate the MSTS score and ankle function score (AOFAS) to evaluate the ankle function.Results:The patients were followed up for an average of 20 months. At 12 months after operation, no complications such as deep infection, mechanical failure of internal fixation, or local tumor recurrence occurred. The MSTS score averaged 26.7±2.6 points. The AOFAS average was 82.3±8.5 points. The VAS average is 2.7 points. Boneunionwasobserved in 5 cases during follow-up. All cases were satisfied with the treatment results.Conclusion:Limb salvage treatment of distal tibia osteosarcoma is more difficult. This study proves that the use of tumor bone inactivation and internal fixation to reconstruct the ankle joint can not only cure the tumor, but also has satisfactory limb function. It is an ideal strategy for limb salvage reconstruction.

Total knee arthroplasty (TKA) is an effective treatment for end-stage knee disease, with the postoperative alignment, component position, soft tissue balance, and prosthesis matching being key factors for the success of TKA. In order to achieve more accurate postoperative alignment and component position, better soft tissue balance and prosthesis matching for longer prosthesis longevity, better postoperative function and higher patient satisfaction, various intelligent accuracy technological aids such as computer assisted navigation (CAN), patient specific instrumentation (PSI), surgical robots, microsensors, customized implants (CI) and personalized 3D preoperative planning have emerged and are given high expectation. In this paper, the authors review the application and research progress of the above technological aids mainly from aspects of alignment, component position, clinical outcomes and cost analysis, so as to provide a reference for the application of related technological aids in TKA.

Objective:To investigate the mid-to-long term therapeutic effects of allogeneic bone composite prosthesis reconstruction in patients with large bone defects after the resection of distal femoral tumors.Methods:From June 2013 to December 2018, a total of 19 patients with malignant tumors of the distal femur who underwent reconstruction with allogeneic bone composite prosthesis in the Department of Bone Tumor, Shanghai General Hospital were retrospectively collected. There were 10 males and 9 females, aged 22.3±11 years (range, 11-42 years). The mean body mass index was 19.3±3.4 kg/m 2 (range, 14-27 kg/m 2). There were 18 cases of osteosarcoma and 1 case of Ewing's sarcoma. According to Ennecking staging, there were 17 cases of stage IIB and 2 cases of stage III. The intraoperative blood loss and operation time were recorded, and the prosthesis and patient survival conditions and postoperative complications were observed. The limb function was evaluated by the Musculoskeletal Tumor Society (MSTS) 93 function score. Results:All patients successfully completed the operation. The operation time was 187.3±39.8 min (range, 110-260 min), the intraoperative blood loss was 284.9±87.0 ml (range, 200-500 ml), and the blood transfusion volume was 327±213 ml (range, 100-800 ml). The remaining length of the proximal femur was 153.7±26.6 mm (range, 93-190 mm), and the length of allogeneic bone was 84.1±24.6 mm (range, 39-134 mm). Among the 19 patients, 9 patients (47%) achieved bony union with an average healing time of 16.7±4.8 months (range, 10-25 months), and 7 patients had delayed healing with an average healing time of 18.4±4.0 months (range, 15-25 months). The remaining 10 cases were nonunion between allogeneic bone and host bone. All patients were followed up for 80.7±20.2 months (range, 56-121 months). During the follow-up, 3 cases died due to pulmonary metastasis of bone tumors, and the time of death was 57 months, 63 months, and 59 months after surgery, respectively. At the last follow-up, the patient survival rate was 84% (16/19), and the MSTS 93 function score of the 16 patients was (24.3±2.4) points (range, 21-28 points), with an excellent rate of 100% (16/16). Seven patients underwent revision surgery, 3 cases were aseptic loosening, 3 cases were prosthesis stem fracture at the junction of the allograft bone and the host bone, and 1 case was periprosthetic infection, among which the patient with periprosthetic infection had poor local soft tissue conditions due to preoperative radiotherapy, and the infection was controlled after two revision surgeries. Five cases were revised with allogeneic bone composite prosthesis, and 2 cases were revised with short-stem giant prosthesis with cortical steel plate or locking nail. After revision, the remaining length of the proximal femur was 143.4±31 mm (range, 91-175 mm), and the length of the allograft bone was 92.6±26.6 mm (range, 61-123 mm). The 7 revised patients were still in follow-up. There were no cases of pulmonary infection, nerve injury, deep vein thrombosis or other complications after surgery.Conclusion:The survival period of patients after the surgery to reconstruct large bone defects following the resection of malignant tumors at the distal end of the femur using allogeneic bone composite prosthesis is satisfactory, and the limb function is good. However, the incidence of prosthesis complications is high, which can be reconstructed through revision.

Objective:To establish an artificial intelligence burn depth recognition model based on convolutional neural network, and to test its effectiveness.Methods:In this evaluation study on diagnostic test, 484 wound photos of 221 burn patients in Xiangya Hospital of Central South University (hereinafter referred to as the author′s unit) from January 2010 to December 2019 taken within 48 hours after injury which met the inclusion criteria were collected and numbered randomly. The target wounds were delineated by image viewing software, and the burn depth was judged by 3 attending doctors with more than 5-year professional experience in Department of Burns and Plastic Surgery of the author′s unit. After marking the superficial partial-thickness burn, deep partial-thickness burn, or full-thickness burn in different colors, the burn wounds were cut according to 224×224 pixels to obtain 5 637 complete wound images. The image data generator was used to expand images of each burn depth to 10 000 images, after which, images of each burn depth were divided into training set, verification set, and test set according to the ratio of 7.0∶1.5∶1.5. Under Keras 2.2.4 Python 2.8.0 version, the residual network ResNet-50 of convolutional neural network was used to establish the artificial intelligence burn depth recognition model. The training set was input for training, and the verification set was used to adjust and optimize the model. The judging accuracy rate of various burn depths by the established model was tested by the test set, and precision, recall, and F1_score were calculated. The test results were visualized to generate two-dimensional tSNE cloud chart through the dimensionality reduction tool tSNE, and the distribution of various burn depths was observed. According to the sensitivity and specificity of the model for the recognition of 3 kinds of burn depths, the corresponding receiver operator characteristics (ROC) curve was drawn, and the area under the ROC curve was calculated.Results:(1) After the testing of the test set, the precisions of the artificial intelligence burn depth recognition model for the recognition of superficial partial-thickness burn, deep partial-thickness burn, or full-thickness burn were 84% (1 095/1 301), 81% (1 215/1 499) and 82% (1 395/1 700) respectively, the recall were 73% (1 095/1 500), 81% (1 215/1 500) and 93% (1 395/1 500) respectively, and the F1_scores were 0.78, 0.81, and 0.87 respectively. (2) tSNE cloud chart showed that there was small overlapping among different burn depths in the test results for the test set of artificial intelligence burn depth recognition model, among which the overlapping between superficial partial-thickness burn and deep partial-thickness burn and that between deep partial-thickness burn and full-thickness burn were relatively more, while the overlapping between superficial partial-thickness burn and full-thickness burn was relatively less. (3) The area under the ROC curve for 3 kinds of burn depths recognized by the artificial intelligence burn depth recognition model was ≥0.94.Conclusions:The artificial intelligence burn depth recognition model established by ResNet-50 network can rather accurately identify the burn depth in the early wound photos of burn patients, especially superficial partial-thickness burn and full-thickness burn. It is expected to be used clinically to assist the diagnosis of burn depth and improve the diagnostic accuracy.

Objective To construct a prediction model for coronal malalignment of lower limb in middle-aged and young people in China based on body surface big data in order to provide a faster and more accurate tool for predicting the malalignment in clinical practice.Methods A cross-sectional trial was adopted on 915 patients with knee meniscus tears admitted to the Sports Medical Center of our hospital from May 2022 to December 2023.The coronal force line of lower limb was measured,and according to the lower limb force line grading standards,the patients were divided into neutral force line group and malalignment lower limb group,and assigned randomly into training set and validation set in a ratio of 7∶3.Seven indicators,such as gender,age,and body surface big data (including BMI,lower limb length,distance between both knee joints,distance between both ankle joints,and subcutaneous fat thickness)were used to analyze the training set to predict the value of malalignment force line.Logistic regression model and nomogram model were constructed to visualize our prediction model. Then calibration curves,receiver operating characteristic (ROC)curve,and decision curve analysis (DCA)were applied to evaluate the diagnostic efficacy of the constructed model.Results In the training set of 640 cases,there were 299 males and 341 females,with a median age of 41 .5 years old,and for the validation set,there are 275 patients,including 128 males and 147 females,with a median age of 41 .0 years old.Significant differences were observed in above mentioned 7 indicators between the 2 groups in the training set (P<0.01 ).Based on the results of multiple logistic regression analysis,a prediction model for malalignment of lower limb was constructed,including BMI (24.31±3.58 kg/m2,OR=1 .12,95％CI:1 .06～1 .19,P<0.001 ),lower limb length[82.00 (78.00～87.00)cm,OR=0.95,95％CI:0.92～0.98,P=0.002],distance between both knee joints[30.00 (16.00～45.25)cm,OR=1 .06,95％CI:1 .05～1 .07,P<0.001],distance between both ankle joint[23.00 (8.00～30.00)mm,OR=0.98,95％CI:0.96～1 .00,P=0.078]and gender[man 299 (46.72％),OR=0.70,95％CI:0.46～1 .06,P=0.089].The area under the subject curve (AUC)value of our constructed model for predicting malalignment of lower limb was 0.808 and 0.770,respectively,in the training and validation sets.Conclusion Based on body surface big data,we primarily construct a prediction model for malalignment of lower limb for middle-aged and young people in China,which shows a good diagnostic performance on malalignment of lower limb.

Objective:To explore the construction and application methods of multicenter bone tumor-specific database.Methods:Experts from multiple centers including Shanghai General Hospital, Shanghai Changzheng Hospital, Zhongshan Hospital, Shanghai Sixth People's Hospital, Ruijin Hospital, Fudan University Shanghai Cancer Center and Shanghai Ninth People's Hospital established a standard dataset for bone tumors through research and discussion. Clinical data will be automatically collected and standardized according to standard fields. A database will be built and a users' interface will be developed to ensure secure data storage, while providing services such as exporting raw data, visualizing statistical analysis, establishing clinical queue research projects, et al. Finally, the bone tumor database will be shared by integrating with the Shenkang's Big Data Platform to achieve multi-center data integration.Results:A standard data set for bone tumors containing 603 fields has been established and published. An automated data collection system for bone tumors has been established, including complete data collection, data collation and visualization functions. The data categories include modules such as patients' electronic case information, laboratory information on blood routine, biochemistry and tumor markers, imaging information, surgery information, pathology information and radiotherapy records. Personal information such as patients' names and ID numbers are desensitized and encrypted and can be exported for further research. From 2015 to 2023, the total number of bone tumor cases collected in the database was 10,789. From 2015 to 2019, 112 cases of the osteosarcoma cohort were retrospectively analyzed for admission, with a statistical 5-year survival rate of 68%.Conclusion:A regional bone tumor specialty big data network and data sharing platform has been established, along with data sharing mechanisms and standards including data standards, security standards, and quality evaluation standards. This provides data and efficient new solutions for the construction of China's bone tumor database, as well as a research and development platform for standardized diagnosis and treatment of bone tumors and new technologies.