OBJECTIVE: To evaluate the effectiveness of double joystick technique assisted closed reduction and Kirschner wire internal fixation in the treatment of Gartland type Ⅲ supracondylar fractures of the humerus (SCFH) in children. METHODS: A retrospective study was conducted on 28 cases of Gartland type Ⅲ SCFH with complete data available, who underwent closed reduction and Kirschner wire internal fixation with the double joystick technique between August 2022 and July 2024. There were 23 boys and 5 girls, with an average age of 6.4 years (range, 1-12 years). All fractures resulted from falls and were classified as extension-type. X-ray film showed the radial displacement of the distal fragment in 15 cases and unlar displacement in 13 cases. The interval from injury to operation was 3-36 hours (mean, 19.5 hours). X-ray film re-examination was conducted to evaluate the fracture healing, and the Baumann angle of affected elbow joint and carrying angle of bilateral elbow joints were measured. Elbow joint function was evaluated using the range of motion (flexion and extension) and the Flynn criteria. The above indicators were compared between affected and healthy sides. RESULTS: All operation were successfully completed. The operation time ranged from 15 to 40 minutes (mean, 25.2 minutes). The length of hospital stay was 2-5 days (mean, 3.5 days). All patients were followed up 3-24 months (mean, 11.8 months). X-ray film confirmed fracture healing in all patients, with a mean healing time of 5.4 weeks (range, 4-6 weeks). At last follow-up, the Baumann angle of the affected elbow joint was (73.50±3.46)°, and the carrying angle and the range of motion in flexion and extension of the affected elbow joint were significantly less than the contralateral side (P<0.05). According to the Flynn criteria, the elbow joint function of the affected elbow was evaluated as excellent in 25 cases and good in 3 cases, with an excellent and good rate of 100%. CONCLUSION The double joystick technique is a safe and effective method which can facilitate the closed reduction and Kirschner wire internal fixation of Gartland type Ⅲ SCFH in children without increasing risk of complications.
Humans ; Male ; Female ; Humeral Fractures/diagnostic imaging* ; Fracture Fixation, Internal/instrumentation* ; Child ; Retrospective Studies ; Bone Wires ; Child, Preschool ; Fracture Healing ; Treatment Outcome ; Infant ; Elbow Joint/physiopathology* ; Range of Motion, Articular ; Closed Fracture Reduction/methods*

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

OBJECTIVES: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators. METHODS: Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation. The proposed constraint term was ablated experimentally to assess the feasibility and validity of the constraint term by accuracy, area under the ROC curve (AUC), sensitivity, and specificity. Cross-validation methods and accuracy, AUC, sensitivity and specificity were also used to evaluate the discriminative performance of this classification model in comparison with other interpolation methods for processing of the missing data. RESULTS: The results of the ablation experiments showed good compatibility among the constraints, and each constraint had good robustness. The cross-validation experiment showed that for identification of ovarian cancer with missing laboratory indicators, the AUC, accuracy, sensitivity and specificity of the proposed multi-constraints representation-based learning classification model was 0.915, 0.888, 0.774, and 0.910, respectively, and its AUC and sensitivity were superior to those of other interpolation methods. CONCLUSIONS The proposed model has excellent discriminatory ability with better performance than other missing data interpolation methods for identification of ovarian cancer with missing laboratory indicators.
Female ; Humans ; Ovarian Neoplasms/diagnosis* ; Machine Learning ; ROC Curve

Sepsis is one of the common severe diseases caused by the dysregulated host response to infection， which seriously threatens the life and health of human beings all over the world. The incidence and mortality of the disease are extremely high， and it has always been an urgent problem to be solved in the field of acute and critical diseases. At present， anti-infection， fluid resuscitation， mechanical ventilation and other programs are most used in clinic to treat sepsis， but their poor prognosis and high cost and other issues remain to be resolved. Therefore， it is necessary to explore a new， efficient， safe and inexpensive drug and treatment model at this stage. The treatment of traditional Chinese medicine （TCM） is based on syndrome differentiation and holistic concept. It can effectively regulate the progression of sepsis， maintain the homeostasis of the body， and has fewer adverse reactions. It has achieved good clinical results. In recent years， a large number of studies have shown that TCM can reduce the inflammatory response by regulating the Toll-like receptor 4（TLR4） signaling pathway， thereby reducing the severity and mortality of sepsis patients. However， there is still a lack of systematic exposition of TCM regulating TLR4 signaling pathway in the treatment of sepsis. Therefore， this article summarizes the relationship between TLR4 signaling pathway and sepsis and the mechanism of TCM in the disease by searching and consulting relevant literature in recent years. It is found that some Chinese medicine monomers and active ingredients， Chinese medicine compounds and Chinese medicine preparations can effectively reduce systemic inflammatory response， repair organ damage and improve the prognosis of sepsis by inhibiting the activation of TLR4 signaling pathway. However， due to various limitations， some studies have directly focused on the differential expression and function of TLR4， ignoring the downstream molecular expression and phenotypic effects of TLR4. The alternative mechanism， relationship and specific molecular mechanism of the pathway are still unclear. There are problems such as unclear pharmacokinetics and unclear mechanism in the pro- and anti-inflammatory balance， which need to be further studied and explored in order to provide new ideas for the potential treatment and drug development for sepsis.

Objective:To compare the effects of different test meals on postprandial triglycerides and to optimize the standard meal composition and the blood sampling protocol for the oral fat tolerance test.Methods:This study is a prospective, open-label, randomized, cross-over trial. In March 2023, 36 volunteers were recruited in Hebei General Hospital. They underwent a health examination and oral glucose tolerance test. Twenty-six healthy volunteers(11 males and 15 females) were included in this study, with an average age of(39.08±4.56) years. Each volunteer received 75 g protein meal, 75 g fat meal, 700 kcal fixed-calorie high-fat mixed meal, and a high-fat mixed meal with energy adjusted based on 10 kcal/kg body weight. A one-week washout period of regular diet was applied before each trial. Blood was collected at fasting status and 1, 2, 3, 4, 5, and 6 hours after a meal to detect serum triglycerides, total cholesterol, low density lipoprotein-cholesterol(LDL-C), high density lipoprotein-cholesterol(HDL-C), glucose, and insulin. The variations of postprandial metabolic indicators over time following the consumption of different test meals were analyzed. The disparities in postprandial metabolic responses between the two types of mixed meals were compared.Results:The protein meal, fat meal, fixed-calorie high-fat mixed meal, and adjusted-calorie high-fat mixed meal resulted in postprandial triglyceride increases of 22.45%, 115.40%, 77.14%, and 63.63%, and insulin increase of 560.43%, 85.69%, 554.18%, and 598.97%, respectively, and with reductions in total cholesterol, LDL-C, and HDL-C ranging from 5.64%-21.81%, respectively. The blood glucose changed slightly. Changes in metabolic indicators mainly occured within 4 hours. The comparison of the characteristics of postprandial triglycerides between the two high-fat mixed meals showed no statistically significant differences( P>0.05). Conclusion:A standardize protocol with a 700 kcal fixed-calorie high-fat mixed meal as test meal, and blood lipid levels measured at fasting and at 1, 2, 3, and 4 hours after consumption, can serve as an optimized approach for oral fat tolerance test.

Diffusion weighted imaging is an important imaging technique for diagnosing and evaluating the effectiveness of disease treatment,mainly focusing on the overall diffusion behavior of water molecules but ignoring the microscopic movement of water molecules and the details of tissue microstructures.Combining oscillatory gradient spin-echo and pulsed gradient spin echo sequences,time-dependent diffusion MRI(td-dMRI)captured diffusion MRI signals at varying time,in order to obtain information of different microstructures,which had recently emerged into clinical application with the advancements of hardware.The principles of td-dMRI technology and its application progresses in tumors were reviewed in this article.

ObjectiveTo investigate the effect of Chaihu Guizhitang on triple-negative breast cancer （TNBC） cells based on hypoxia-inducible factor-1α （HIF-1α）/vascular endothelial growth factor A （VEGFA） signaling pathway. MethodTNBC xenograft model was established and the cells were randomized into model group， capecitabine group （0.2 mg·kg^-1）， Chaihu Guizhitang low-dose group， medium-dose group， and high-dose group （10.62， 21.23， 42.46 g·kg^-1）， with 10 mice in each group. After 21 days of medication， the content of tumor necrosis factor-α （TNF-α） in serum was detected by enzyme-linked immunosorbent assay （ELISA）. The expression of HIF-1α mRNA was detected by real-time fluorogenic quantitative polymerase chain reaction （real-time PCR）. Immunohistochemistry （IHC） was employed to detect the expression of HIF-1α， TNF-α， and VEGFA in tumor tissues， and CD34 staining to examine the angiogenesis in tumor tissues. Microvessel density （MVD） was calculated， and the protein expression of HIF-1α， VEGFA， and epidermal growth factor receptor （EGFR） in tumor tissues was measured by Western blot. ResultCompared with the model group， the rest four groups showed low levels of TNF-α （P<0.01）， HIF-1α mRNA （P<0.01）， expression of HIF-1α， TNF-α， VEGFA， and CD34 in cells， and MVD （P<0.05， P<0.01）， and low protein levels of HIF-1α， VEGFA， and EGFR （P<0.01）. Compared with capecitabine group， medium-dose and high-dose Chaihu Guizhitang decreased the level of TNF-α （P<0.01）， HIF-1α mRNA （P<0.01）， expression of HIF-1α， TNF-α， and VEGFA in cells （P<0.01）， CD34 expression， MVD， and protein levels of HIF-1α， VEGFA， and EGFR （P<0.01）. ConclusionChaihu Guizhitang may inhibit the angiogenesis in TNBC cells by regulating the expression of HIF-1α/VEGFA signaling pathway， thus exerting anti-tumor effect.

Metabolic reprogramming is a hallmark of cancer, including lung cancer. However, the exact underlying mechanism and therapeutic potential are largely unknown. Here we report that protein arginine methyltransferase 6 (PRMT6) is highly expressed in lung cancer and is required for cell metabolism, tumorigenicity, and cisplatin response of lung cancer. PRMT6 regulated the oxidative pentose phosphate pathway (PPP) flux and glycolysis pathway in human lung cancer by increasing the activity of 6-phospho-gluconate dehydrogenase (6PGD) and α-enolase (ENO1). Furthermore, PRMT6 methylated R324 of 6PGD to enhancing its activity; while methylation at R9 and R372 of ENO1 promotes formation of active ENO1 dimers and 2-phosphoglycerate (2-PG) binding to ENO1, respectively. Lastly, targeting PRMT6 blocked the oxidative PPP flux, glycolysis pathway, and tumor growth, as well as enhanced the anti-tumor effects of cisplatin in lung cancer. Together, this study demonstrates that PRMT6 acts as a post-translational modification (PTM) regulator of glucose metabolism, which leads to the pathogenesis of lung cancer. It was proven that the PRMT6-6PGD/ENO1 regulatory axis is an important determinant of carcinogenesis and may become a promising cancer therapeutic strategy.

Accurate classification of the acetabular injuries and appropriate treatment plan are great challenges for orthopedic surgeons because of the irregular anatomical structure of the acetabulum and aggregation of important vessels and nerves around it. Letournel-Judet classification system has been widely applied to classify acetabular fractures. However, there are several limitations, including incomplete inclusion of fracture types, difficulty in understanding and insufficient guidance for surgical treatment, etc. Serious complications such as traumatic arthritis are common due to wrong classification and diagnosis and improper selection of surgical strategy, which brings a heavy burden to the society and families. Three-column classification, based on anatomic characteristics, has advantages of containing more fracture types and being easy to understand, etc. To solve the problems existing in the diagnosis and treatment process based on Letournel-Judet classification, achieve accurate diagnosis and treatment of patients with acetabular fractures, and obtain satisfactory prognosis, the Orthopedic Trauma Emergency Center of Third Hospital of Hebei Medical University and the Trauma Orthopedic Branch of the Chinese Orthopedic Association organized experts from relevant fields to formulate the Expert consensus on the accurate diagnosis and treatment of acetabular fractures based on three-column classification ( version 2023) in terms of principles of evidence-based medicine. Based on the three-column classification, 15 recommendations were proposed, covering the diagnosis, treatment, complication prevention and management, etc, so as to provide reference for accurate diagnosis and treatment of acetabular fractures.

Electronic skin has shown great application potential in many fields such as healthcare monitoring and human-machine interaction due to their excellent sensing performance, mechanical properties and biocompatibility. This paper starts from the materials selection and structures design of electronic skin, and summarizes their different applications in the field of healthcare equipment, especially current development status of wearable sensors with different functions, as well as the application of electronic skin in virtual reality. The challenges of electronic skin in the field of wearable devices and healthcare, as well as our corresponding strategies, are discussed to provide a reference for further advancing the research of electronic skin.
Humans ; Wearable Electronic Devices ; Virtual Reality