Retracted: Osteoprotegerin (OPG) Promotes Recruitment of Endothelial Progenitor Cells (EPCs) via CXCR4 Signaling Pathway to Improve Bone Defect Repair.

The Editors of Medical Science Monitor wish to inform you that the above manuscript has been retracted from publication due to concerns with the credibility and originality of the study, the manuscript content, and the Figure images. Reference: Rongfeng Zhang, Jianwei Liu, Shengpeng Yu, Dong Sun, Xiaohua Wang, Jingshu Fu, Jie Shen, Zhao Xie. Osteoprotegerin (OPG) Promotes Recruitment of Endothelial Progenitor Cells (EPCs) via CXCR4 Signaling Pathway to Improve Bone Defect Repair.

A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.

MicroRNAs (miRNAs) are critical in diagnosing and treating various diseases. Automatically demystifying the interdependent relationships between miRNAs and diseases has recently made remarkable progress, but their fine-grained interactive relationships still need to be explored. We propose a multi-relational graph encoder network for fine-grained prediction of miRNA-disease associations (MRFGMDA), which uses practical and current datasets to construct a multi-relational graph encoder network to predict disease-related miRNAs and their specific relationship types (upregulation, downregulation, or dysregulation).

CT-CBCT deformable registration using weakly-supervised artifact-suppression transfer learning network.

Computed tomography-cone-beam computed tomography (CT-CBCT) deformable registration has great potential in adaptive radiotherapy. It plays an important role in tumor tracking, secondary planning, accurate irradiation, and the protection of at-risk organs. Neural networks have been improving CT-CBCT deformable registration, and almost all registration algorithms based on neural networks rely on the gray values of both CT and CBCT.

The mixed layer modified radionuclide atmospheric diffusion based on Gaussian model.

Background: Atmospheric diffusion is often accompanied by complex meteorological conditions of inversion temperature.

Methods: In response to the emergency needs for rapid consequence assessment of nuclear accidents under these complex meteorological conditions, a Gaussian diffusion-based model of radionuclide is developed with mixed layer modification. The inhibition effect of the inversion temperature on the diffusion of radionuclides is modified in the vertical direction.

CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction.

Motivation: Molecular property prediction is a significant requirement in AI-driven drug design and discovery, aiming to predict the molecular property information (e.g. toxicity) based on the mined biomolecular knowledge.

MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes.

Motivation: Exploring the interrelationships between microbes and disease can help microbiologists make decisions and plan treatments. Predicting new microbe-disease associations currently relies on biological experiments and domain knowledge, which is time-consuming and inefficient. Automated algorithms are used to uncover the intrinsic link between microbes and disease.

A knowledge-driven network for fine-grained relationship detection between miRNA and disease.

Increasing biological evidence indicated that microRNAs (miRNAs) play a vital role in exploring the pathogenesis of various human diseases (especially in tumors). Mining disease-related miRNAs is of great significance for the clinical diagnosis and treatment of diseases. Compared with the traditional experimental methods with the significant limitations of high cost, long cycle and small scale, the methods based on computing have the advantages of being cost-effective.

RSCMDA: Prediction of Potential miRNA-Disease Associations Based on a Robust Similarity Constraint Learning Method.

With the rapid development of biotechnology and computer technology, increasing studies have shown that the occurrence of many diseases in the human body is closely related to the dysfunction of miRNA, and the relationship between them has become a new research hotspot. Exploring disease-related miRNAs information provides a new perspective for understanding the etiology and pathogenesis of diseases. In this study, we proposed a new method based on similarity constrained learning (RSCMDA) to infer disease-associated miRNAs.

Radiological and clinical outcomes using induced membrane technique combined with bone marrow concentrate in the treatment of chronic osteomyelitis of immature patients.

Aims: Treatment of chronic osteomyelitis (COM) for young patients remains a challenge. Large bone deficiencies secondary to COM can be treated using induced membrane technique (IMT). However, it is unclear which type of bone graft is optimal.

Investigation of biofilm production and its association with genetic and phenotypic characteristics of OM (osteomyelitis) and non-OM orthopedic Staphylococcus aureus.

Background: Staphylococcus aureus is a primary pathogen of orthopedic infections. By mediating antimicrobial resistance, S. aureus biofilm plays an important role in the recalcitrance of orthopedic infections, especially for the intractable osteomyelitis (OM).

An antibiotic cement-coated locking plate as a temporary fixation for treatment of infected bone defects: a new method of stabilization.

Background: The induced membrane technique has achieved good clinical results in the treatment of infected bone defects, and external fixation is the main method, but it causes inconvenience and complications in patients. In this study, our objective was to investigate the outcomes of using an antibiotic cement-coated locking plate as a temporary internal fixation in the first stage of the surgical induced membrane technique for treating extremities with infected bone defects.

Methods: We retrospectively analysed patients with lower extremity infected bone defects in our department between January 2013 and December 2017.

Investigating clinical characteristics and prognostic factors in patients with chronic osteomyelitis of humerus.

Background: Chronic osteomyelitis in the humerus, which has complex neuroanatomy and a good soft tissue envelope, represents a unique clinical challenge. However, there are relatively few related studies in the literature. This article retrospectively reviewed a large case series with the aims of sharing our management experiences and further determining factors associated with the outcomes.

Osteoprotegerin (OPG) Promotes Recruitment of Endothelial Progenitor Cells (EPCs) via CXCR4 Signaling Pathway to Improve Bone Defect Repair.

BACKGROUND The aim of this study was to investigate the effect of using osteoprotegerin (OPG) to treat bone defects mediated by endothelial progenitor cell (EPC) recruitment and migration through the CXCR4 signaling pathway. MATERIAL AND METHODS The EPCs extracted from human peripheral blood were cultured in vitro and the expression of CXCR4 and its downstream p-AKT was monitored by the Western blot analysis after OPG treatment. Using the scratch wound healing test and Transwell assay, we assessed the variables influencing the effect of OPG on EPCs after pre-treatment with CXCR4 blocker (AMD3100) and PI3K blocker (Ly294002).

Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs.

Increasing evidence has indicated that microRNAs(miRNAs) play vital roles in various pathological processes and thus are closely related with many complex human diseases. The identification of potential disease-related miRNAs offers new opportunities to understand disease etiology and pathogenesis. Although there have been numerous computational methods proposed to predict reliable miRNA-disease associations, they suffer from various limitations that affect the prediction accuracy and their applicability.

A novel semi-supervised model for miRNA-disease association prediction based on [Formula: see text]-norm graph.

Background: Identification of miRNA-disease associations has attracted much attention recently due to the functional roles of miRNAs implicated in various biological and pathological processes. Great efforts have been made to discover the potential associations between miRNAs and diseases both experimentally and computationally. Although reliable, the experimental methods are in general time-consuming and labor-intensive.

MCLPMDA: A novel method for miRNA-disease association prediction based on matrix completion and label propagation.

MiRNAs are a class of small non-coding RNAs that are involved in the development and progression of various complex diseases. Great efforts have been made to discover potential associations between miRNAs and diseases recently. As experimental methods are in general expensive and time-consuming, a large number of computational models have been developed to effectively predict reliable disease-related miRNAs.

GLNMDA: a novel method for miRNA-disease association prediction based on global linear neighborhoods.

Recently, increasing studies have shown that miRNAs are involved in the development and progression of various complex diseases. Consequently, predicting potential miRNA-disease associations makes an important contribution to understanding the pathogenesis of diseases, developing new drugs as well as designing individualized diagnostic and therapeutic approaches for different human diseases. Nonetheless, the inherent noise and incompleteness in the existing biological datasets have limited the prediction accuracy of current computational models.

Clinical Develops to Small Colony Variants to Promote Persistent Infection.

is a novel staphylococcal species (also considered as a part of complex) that is infrequently reported on, and clinical infections are largely unstudied. Here, we report a persistent and recurrent hip joint infection case in which a strain and its small colony variants (SCVs) strain were successively isolated. We present features of the two strains and case details of their pathogenicity, explore factors that induce SCVs formation in the course of anti-infection therapy, and reveal potential genetic mechanisms for SCVs formation.

Current data on extremities chronic osteomyelitis in southwest China: epidemiology, microbiology and therapeutic consequences.

The current study was designed to explore the epidemiology of extremities chronic osteomyelitis, its prognosis and the complications of the treatment methods being used in southwest China. The data from osteomyelitis patients treated at the Department of Orthopaedics, Southwest Hospital, China between May 2011 and September 2016 were collected and analysed. The study comprised 503 admitted patients, of which 416 males and 87 were females, with an average age of 40.

Induced membrane technique: Advances in the management of bone defects.

Management of bone defects caused by trauma, osteomyelitis, and tumors is challenging, with many controversies over the optimal reconstruction method. Masquelet discovered induced membrane in management of large diaphyseal defects accidentally, and developed this technique with a concept of induced membrane. Induced membrane technique holds great potential for the reconstruction of bone defects, alternatively to manage this clinical challenge quiet easily.

Two stage management of Cierny-Mader type IV chronic osteomyelitis of the long bones.

Introduction: Cierny-Mader (C-M) type IV chronic osteomyelitis represents a complex clinical challenge with permeation of extensive bone and soft tissue involvement. Aggressive debridement through viable tissue margin includes en bloc resection improves the odds of eradication of infection, which creates large bone and soft tissue loss in treating this type of osteomyelitis. The potentially large defects increase reconstruction problems with traditional reconstruction technique.

A meta-analysis of percutenous compression plate versus intramedullary nail for treatment of intertrochanteric HIP fractures.

Introduction: Intertrochanteric hip fracture is associated with increased morbidity. Currently, a dramatic change in practice was demonstrated, with the intramedullary fixation rate increasing, despite a lack of evidence in the literature supporting the change. As a minimally invasive technique, percutaneous compression plating (PCCP) has been advocated to reduce blood loss, relieve pain, and lead to faster rehabilitation for treatment of intertrochanteric hip fractures.

Percutaneous compression plate versus dynamic hip screw for treatment of intertrochanteric Hip fractures: a meta-analyse of five randomized controlled trials.

Background: Percutaneous compression plating (PCCP) has been advocated to reduce blood loss, relieve pain, and lead to faster rehabilitation for the treatment of intertrochanteric fractures. The purpose of this meta-analysis was to estimate the outcomes and complications of the PCCP versus dynamic hip screw (DHS) fixation for intertrochanteric fractures.

Methods: All randomized controlled trials (RCT) that compared PCCP with DHS in treating adult patients with intertrochanteric fractures were included.

MicroRNA-125b regulates osteogenic differentiation of mesenchymal stem cells by targeting Cbfβ in vitro.

Differentiation of mesenchymal stem cells (MSCs) into a specific lineage is firmly and precisely regulated via crucial transcription factors and signaling cascades, but the accurate mechanisms still need to be revealed. MicroRNAs (miRNA) negativity regulates the target mRNA protein synthesis to regulate various kinds of biological processes. In the present study we investigate miRNAs mediated regulatory mechanisms of osteoblastic differentiation in C3H10T1/2 cells and we identified that the level of miR-125b expression was obviously decreased compared with undifferentiated ones during differentiation process.