Fibroblast growth factor 23 and bone mineralisation

Fibroblast growth factor 23 （FGF23） is a hormone that is mainly secreted by osteocytes and osteoblasts in bone. The critical role of FGF23 in mineral ion homeostasis was first identified in human genetic and acquired rachitic diseases and has been further characterised in animal models. Recent studies have revealed that the levels of FGF23 increase significantly at the very early stages of chronic kidney disease （CKD） and may play a critical role in mineral ion disorders and bone metabolism in these patients. Our recent publications have also shown that FGF23 and its cofactor, Klotho, may play an independent role in directly regulating bone mineralisation instead of producing a systematic effect. In this review, we will discuss the new role of FGF23 in bone mineralisation and the pathophysiology of CKD-related bone disorders.

Marginal bone loss around non-submerged implants is associated with salivary microbiome during bone healing

Marginal bone loss during bone healing exists around non-submerged dental implants. The aim of this study was to identify the relationship between different degrees of marginal bone loss during bone healing and the salivary microbiome. One hundred patients were recruited, and marginal bone loss around their implants was measured using cone beam computed tomography during a 3-month healing period. The patients were divided into three groups according to the severity of marginal bone loss.Saliva samples were collected from all subjected and were analysed using 16 SMiSeq sequencing. Although the overall structure of the microbial community was not dramatically altered, the relative abundance of several taxonomic groups noticeably changed. The abundance of species in the phyla Spirochaeta and Synergistetes increased significantly as the bone loss became more severe. Species within the genus Treponema also exhibited increased abundance, whereas Veillonella, Haemophilus and Leptotrichia exhibited reduced abundances, in groups with more bone loss. Porphyromonasgingivalis, Treponemadenticola and Streptococcus intermedius were significantly more abundant in the moderate group and/or severe group. The severity of marginal bone loss around the non-submerged implant was associated with dissimilar taxonomic compositions. An increased severity of marginal bone loss was related to increased proportions of periodontal pathogenic species. These data suggest a potential role of microbes in the progression of marginal bone loss during bone healing.

Malignant solitary fibrous tumor of the greater omentum: A case report and review of literature

BACKGROUND Malignant solitary fibrous tumors(SFTs)account for 15%-20%of all SFTs,and malignant SFTs arising from the greater omentum are extremely rare.Most malignant SFTs of the greater omentum are diagnosed via pathological examinations after surgery.In this study,we report a case of malignant omental SFT and review the published literature on this rare malignancy.CASE SUMMARY A 64-year-old female presented with an abdominal mass,and underwent exploratory surgery,during which a huge tumor originating from the greater omentum and intraperitoneal implants were identified and resected.The results of the pathological examination,immunohistochemistry staining,and gene sequencing led to the diagnosis of malignant SFT of the greater omentum.The patient died one and a half years later due to tumor recurrence and metastasis.CONCLUSION This is the first report of the application of gene sequencing in the diagnosis of malignant SFTs of the greater omentum.

Study of the gluonic quartic gauge couplings at muon colliders

The potential of muon colliders opens up new possibilities for the exploration of new physics beyond the Standard Model.It is worthwhile to investigate whether muon colliders are suitable for studying gluonic quartic gauge couplings(gQGCs),which can be contributed by dimension-8 operators in the framework of the Standard Model effective field theory,and are intensively studied recently.In this paper,we study the sensitivity of the processμ^(+)μ^(-)→jjν■to gQGCs.Our results indicate that the muon colliders with c.m.energies larger than 4 TeV can be more sensitive to gQGCs than the Large Hadron Collider.

Association between Nonalcoholic Fatty Liver Disease and Carotid Artery Disease in a Community-Based Chinese Population： A Cross-Sectional Study

Background： Nonalcoholic fatty liver disease （NAFLD） is one of the most common chronic liver diseases with a high prevalence in the general population. The association between NAFLD and cardiovascular disease has been well addressed in previous studies. However, whether NAFLD is associated with carotid artery disease in a community-based Chinese population remained unclear. The aim of this study was to investigate the association between NAFLD and carotid artery disease. Methods： A total of 2612 participants （1091 men and 1521 women） aged 40 years and older from Jidong of Tangshan city （China） were selected for this study. NAFLD was diagnosed by abdominal ultrasonography. The presence of carotid stenosis or plaque was evaluated by carotid artery ultrasonography. Logistic regression was used to analyze the association between NAFLD and carotid artery disease. Results： Participants with NAFLD have a higher prevalence of carotid stenosis （12.9% vs. 4.6%） and carotid plaque （21.9% vs. 15.0%） than those without NAFLD. After adjusting for age, gender, smoking status, income, physical activity, diabetes, hypertension, triglyceride, waist-hip ratio, and high-density lipoprotein, NAFLD is significantly associated with carotid stenosis （odds ratio [OR]： 2.06, 95% confidence interval [CI]： 1.45-2.91）, but the association between NAFLD and carotid plaque is not statistically significant （OR： 1. 10, 95% CI： 0.86-1.40）. Conclusion： A significant association between NAFLD and carotid stenosis is found in a Chinese population.

Multi-Exposure Motion Estimation Based on Deep Convolutional Networks

In motion estimation, illumination change is always a troublesome obstacle, which often causes severely per- formance reduction of optical flow computation. The essential reason is that most of estimation methods fail to formalize a unified definition in color or gradient domain for diverse environmental changes. In this paper, we propose a new solution based on deep convolutional networks to solve the key issue. Our idea is to train deep convolutional networks to represent the complex motion features under illumination change, and further predict the final optical flow fields. To this end, we construct a training dataset of multi-exposure image pairs by performing a series of non-linear adjustments in the traditional datasets of optical.flow estimation. Our multi-exposure flow networks （MEFNet） model consists of three main components： low-level feature network, fusion feature network, and motion estimation network. The former two components belong to the contracting part of our model in order to extract and represent the multi-exposure motion features; the third component is the expanding part of our model in order to learn and predict the high-quality optical flow. Compared with many state- of-the-art methods, our motion estimation method can eliminate the obstacle of illumination change and yield optical flow results with competitive accuracy and time efficiency. Moreover, the good performance of our model is also demonstrated in some multi-exposure video applications, like HDR （high dynamic range） composition and flicker removal.

Constraints on anomalous quartic gauge couplings via Wγjj production at the LHC

Vector boson scattering at the Large Hadron Collider(LHC)is sensitive to anomalous quartic gauge couplings(aQGCs).In this study,we investigate the aQGC contribution to Wγjj production at the LHC with√s=13 TeV in the context of an effective field theory(EFT).The unitarity bound is applied as a cut on the energy scale of this production process,which is found to have significant suppressive effects on signals.To enhance the statistical significance,we analyze the kinematic and polarization features of the aQGC signals in detail.We find that the polarization effects induced by aQGCs are unique and can discriminate the signals from the SM backgrounds well.With the proposed event selection strategy,we obtain the constraints on the coefficients of dimension-8 operators with current luminosity.The results indicate that the process pp→Wγjj is powerful for searching for the OM2,3,4,5 and OT5,6,7 operators.

Association between Elevated Resting Heart Rate and Metabolic Syndrome in a Community-Based Population

To the Editor： Metabolic syndrome （MetS） is a major public heahh issue, resulting in accelerated development of diabetes mellitus, cardiovascular disease, kidney disease, and even cancer. Resting heart rate （RHR） may be an independent risk factor for MetS. Herein, we reported a cohort study to determine the association of RHR with the risks of MetS in general population in northern China.

The relation between the radii and the densities of magnetic skyrmions

Compared with the traditional magnetic bubble,a skyrmion has a smaller size,and better stability and therefore is considered as a very promising candidate for future memory devices.When skyrmions are manipulated,erased and created,the density of skyrmions can be varied,however the relationship between the radii and the densities of skyrmions needs more exploration.In this paper,we study this problem both theoretically and by using the lattice simulation.The average radius of skyrmions as a function of material parameters,the strength of the external magnetic field and the density of skyrmions is obtained and verified.With this explicit function,the skyrmion radius can be easily predicted,which is helpful for the future study of skyrmion memory devices.