Fracture is a disease caused by violence or bone disease in which the continuity of bone structure is completely or partially broken. The healing of fracture mainly includes three processes: hematoma mechanization stage, callus formation stage and callus remodeling stage. At different stages, various cells and molecules are important factors regulating fracture healing. There is growing evidence that miRNA plays an important role in various bone diseases, such as osteosarcoma, osteoarthritis, osteonecrosis, and fractures. Recent studies have shown that miRNA can regulate the process of fracture healing and may be potential biomarkers of fracture healing. This article reviews the expression, function and mechanism of miRNA in the process of fracture healing.

The interventional therapy of vascular stent implantation is a popular treatment method for cardiovascular stenosis and blockage. However, traditional stent manufacturing methods such as laser cutting are complex and cannot easily manufacture complex structures such as bifurcated stents, while three-dimensional (3D) printing technology provides a new method for manufacturing stents with complex structure and personalized designs. In this paper, a cardiovascular stent was designed, and printed using selective laser melting technology and 316L stainless steel powder of 0-10 µm size. Electrolytic polishing was performed to improve the surface quality of the printed vascular stent, and the expansion behavior of the polished stent was assessed by balloon inflation. The results showed that the newly designed cardiovascular stent could be manufactured by 3D printing technology. Electrolytic polishing removed the attached powder and reduced the surface roughness Ra from 1.36 µm to 0.82 µm. The axial shortening rate of the polished bracket was 4.23% when the outside diameter was expanded from 2.42 mm to 3.63 mm under the pressure of the balloon, and the radial rebound rate was 2.48% after unloading. The radial force of polished stent was 8.32 N. The 3D printed vascular stent can remove the surface powder through electrolytic polishing to improve the surface quality, and show good dilatation performance and radial support performance, which provides a reference for the practical application of 3D printed vascular stent.
Humans ; Stainless Steel ; Powders ; Cardiovascular System ; Constriction, Pathologic

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress

The rapid development of technology in the information age has brought profound changes to healthcare. In particular, the close integration of artificial intelligence technology and medical services has demonstrated potential application value in disease diagnosis, treatment and clinical research.Psychiatry strives to keep pace with the times and of information technology. Artificial intelligence has made multi-faceted explorations in psychiatric clinical research. The process is not only full of opportunities and challenges, but also insightful dawn.Meanwhile, the application of information technology in psychiatric clinical research also has inevitable limitations.Psychiatric clinical research needs to pay attention to real data in the real world. On the basis of standardization and safety, it should be expected that artificial intelligence technology and real data in psychiatric clinical diagnosis and treatment should be combined to strengthen evidence-based studies, update clinical diagnosis and treatment guidelines, and promote a tool for translational application.From the perspective of scientific development, these tools will eventually help psychiatrists benefit the majority of patients with mental illness and promote the vigorous development of psychiatry.

The rapid development of technology in the information age has brought profound changes to healthcare. In particular, the close integration of artificial intelligence technology and medical services has demonstrated potential application value in disease diagnosis, treatment and clinical research.Psychiatry strives to keep pace with the times and of information technology. Artificial intelligence has made multi-faceted explorations in psychiatric clinical research. The process is not only full of opportunities and challenges, but also insightful dawn.Meanwhile, the application of information technology in psychiatric clinical research also has inevitable limitations.Psychiatric clinical research needs to pay attention to real data in the real world. On the basis of standardization and safety, it should be expected that artificial intelligence technology and real data in psychiatric clinical diagnosis and treatment should be combined to strengthen evidence-based studies, update clinical diagnosis and treatment guidelines, and promote a tool for translational application.From the perspective of scientific development, these tools will eventually help psychiatrists benefit the majority of patients with mental illness and promote the vigorous development of psychiatry.

Neuroimmune system may be involved in the pathological process of bipolar disorder (BD), but the essential association is not fully understood. Accumulating evidence has shown that BD involves the activation of immune cells and the release of inflammatory substances in the central nerve system (CNS). Meanwhile, neuroimmune responses also interact with other hypothesis of the etiology of BD that are widely recognized, such as neurotransmitter systems, neuroendocrine systems, neurotrophic factors, and oxidative stress. Simultaneously, related genes and immune changes in peripheral blood vary with it. Overall, neuroimmunity may play an important role in the pathogenesis of BD, and the inflammatory cytokines, especially interleukin-6 and tumor necrosis factor-alpha, have potential value for the clinical diagnosis and prognosis of BD, as well as predicting the therapeutic effects of drugs. Large-scale studies are needed to extend the evidence on neuroimmunity in BD, and to examine its clinical value for applications such as early prediction and treatment.