Establishment and validation of a prognostic nomogram for periprosthetic femoral fracture after total hip replacement surgery.

Background: In recent years, with the gaining popularity and wide application of total hip arthroplasty (THA), the incidence rate of periprosthetic femoral fractures (PFF) has increased. The treatment of PFF is difficult and has many related complications. Herein, we aimed to construct a nomogram model to predict occurrence of PFF after THA, in order to identify high-risk populations.

Construction and validation of nomogram model for chronic postsurgical pain in patients after total knee arthroplasty: A retrospective study.

Objective: Chronic postsurgical pain (CPSP) after total knee arthroplasty (TKA) is the most common postoperative complication in orthopedics. This study aims to explore the risk factors for CPSP after TKA and construct a nomogram model.

Methods: This retrospective study included clinical records of 430 patients who received TKA treatment at Wuhan Fourth Hospital between January 2020 to January 2024.

Hybrid Model Design For Protein Function Prediction.

Considering the significant role of protein function probes in medicine development and health monitoring, we design a hybrid model based on traditional and deep learning methods to predict protein functions with desirable accuracy. Our work aims to better utilize the protein sequence information in our hybrid prediction model. Firstly, we introduce the high-efficiency sequence alignment tool DIAMOND to obtain function prediction reference based on sequence homology since "similar" proteins have similar protein functions.

Deep learning based CETSA feature prediction cross multiple cell lines with latent space representation.

Mass spectrometry-coupled cellular thermal shift assay (MS-CETSA), a biophysical principle-based technique that measures the thermal stability of proteins at the proteome level inside the cell, has contributed significantly to the understanding of drug mechanisms of action and the dissection of protein interaction dynamics in different cellular states. One of the barriers to the wide applications of MS-CETSA is that MS-CETSA experiments must be performed on the specific cell lines of interest, which is typically time-consuming and costly in terms of labeling reagents and mass spectrometry time. In this study, we aim to predict CETSA features in various cell lines by introducing a computational framework called CycleDNN based on deep neural network technology.

Fe-Ni Diatomic Sites Coupled with Pt Clusters to Boost Methanol Electrooxidation via Free Radical Relaying.

Pt-based catalysts for direct methanol fuel cells (DMFCs) are still confronted with the challenge of over-oxidation of Pt and poisoning effect of intermediates; therefore, a spatial relay strategy was adopted to overcome these issues. Herein, Pt clusters were creatively fixed on the N-doped carbon matrix with rich Fe-Ni diatoms, which can provide independent reaction sites for methanol oxidation reaction (MOR) and enhance the catalytic activity due to the electronic regulation effect between Pt cluster and atomic-level metal sites. The optimized Pt/FeNi-NC catalyst shows MOR electrocatalytic activity of 2.

CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines.

Cellular Thermal Shift Assay (CETSA) has been widely used in drug discovery, cancer cell biology, immunology, etc. One of the barriers for CETSA applications is that CETSA experiments have to be conducted on various cell lines, which is extremely time-consuming and costly. In this study, we make an effort to explore the translation of CETSA features cross cell lines, i.

Deep Learning-Based Multimodal 3 T MRI for the Diagnosis of Knee Osteoarthritis.

The objective of this study was to investigate the application effect of deep learning model combined with different magnetic resonance imaging (MRI) sequences in the evaluation of cartilage injury of knee osteoarthritis (KOA). Specifically, an image superresolution algorithm based on an improved multiscale wide residual network model was proposed and compared with the single-shot multibox detector (SSD) algorithm, superresolution convolutional neural network (SRCNN) algorithm, and enhanced deep superresolution (EDSR) algorithm. Meanwhile, 104 patients with KOA diagnosed with cartilage injury were selected as the research subjects and underwent MRI scans, and the diagnostic performance of different MRI sequences was analyzed using arthroscopic results as the gold standard.

Comparison of apixaban and rivaroxaban for anticoagulant effect after lumbar spine surgery: a single-center report.

Aim: To compare efficacy and safety of anticoagulants apixaban and rivaroxaban after lumbar spine surgery retrospectively.

Methods: In this study comprising 480 patients, lower-limb swelling, deep venous thrombosis, pulmonary embolism, blood loss, ecchymosis and D-dimer changes were observed.

Results: The changes in perimeter of the legs were tested, and significant differences were noted 10 cm above the patella, but no significant differences 10 cm below the patella.

Research and application of absorbable screw in orthopedics: a clinical review comparing PDLLA screw with metal screw in patients with simple medial malleolus fracture.

Objective: To observe the therapeutic effect of absorbable screw in medial malleolus fracture and discuss its clinical application in orthopedics.

Methods: A total of 129 patients with simple medial malleolus fracture were studied. Among them, 64 patients were treated with poly-D, L-lactic acid (PDLLA) absorbable screws, while the others were treated with metal screws.

Fusion between cancer cells and myofibroblasts is involved in osteosarcoma.

Communication between cancer cells and the microenvironment appears to be an important determinant of disease prognosis. However, the detailed mechanisms of the interactions between cancer cells and surrounding cells have yet to be clarified. Recent studies on cell fusion have indicated this interaction to be one of the driving forces in cancer progression.

Knockdown of Mad2 induces osteosarcoma cell apoptosis-involved Rad21 cleavage.

Background: Besides Mad2's role in carcinogenesis, recent study has shown that it is essential in cell survival. Here we found that knockdown of Mad2 causes osteosarcoma cell death through apoptosis, with the apoptotic signal resulting from Rad21 cleavage.

Methods: U2OS and MG63 cells were divided into three groups: the Mad2 siRNA group, mock group and normal control group; the Mad2 siRNA group and mock group are transfected with Mad2 shRNA plasmid and mock plasmid, respectively.

Clinical efficacy of artificial skin combined with vacuum sealing drainage in treating large-area skin defects.

Objective: To observe the clinical efficacy of artificial skin combined with vacuum sealing drainage (VSD) in treating large-area skin defects.

Methods: Totally 18 patients with skin defects, treated with artificial skin combined with VSD from September 2008 to May 2009 in our hospital, were retrospectively analyzed in this study. There were 15 males and 3 females, aged 7-66 years, 34.

N-(2-hydroxyl) propyl-3-trimethyl ammonium chitosan chloride nanoparticle as a novel delivery system for parathyroid hormone-related protein 1-34.

Chitosan (CS) and epoxy propyl trimethyl ammonium chloride (EPTAC) were used to prepare the water-soluble N-(2-hydroxyl) propyl-3-trimethyl ammonium chitosan chloride (HTCC). HTCC and sodium tripolyphosphate (TPP) were mixed to form HTCC nanoparticles based on ionic gelation. Parathyroid hormone-related protein 1-34 (PTHrP1-34) was incorporated into the HTCC nanoparticles.

Mitotic arrest defective protein 2 expression abnormality and its clinicopathologic significance in human osteosarcoma.

Osteosarcoma is the most common primary malignancy of bone. Overexpression of mitotic arrest defective protein 2 (MAD2) is found in many human neoplasms, but its role in the oncogenesis of osteosarcoma is an untouched topic. The objective of this research was to observe the expression of MAD2 in human osteosarcoma and explore its clinicopathologic significance.

Purification and Characterization of a Novel 21 kD Calcium-binding Protein from Rabbit Appendix Lymphocytes.

A novel 21 kD calcium-binding protein from rabbit appendix B lymphocytes has been purified and characterized. Through heat-denaturation, using Phenyl-Sepharose and DEAE-Sepharose chromatography, we obtained 5.3 mg SDS-PAGE homogeneous CaBP(21) from 1 kg lymphocyte cells.