BackgroundMoloney leukemia virus 10 (Mov10) is an RNA helicase that mediates access of the RNA-induced silencing complex to messenger RNAs (mRNAs). Until now, its role as an RNA helicase and as a regulator of retrotransposons has been characterized exclusively in cell lines. We investigated the role of Mov10 in the mouse brain by examining its expression over development and attempting to create a Mov10 knockout mouse. Loss of both Mov10 copies led to early embryonic lethality.ResultsMov10 was significantly elevated in postnatal murine brain, where it bound retroelement RNAs and mRNAs. Mov10 suppressed retroelements in the nucleus by directly inhibiting complementary DNA synthesis, while cytosolic Mov10 regulated cytoskeletal mRNAs to influence neurite outgrowth. We verified this important function by observing reduced dendritic arborization in hippocampal neurons from the Mov10 heterozygote mouse and shortened neurites in the Mov10 knockout Neuro2A cells. Knockdown of Fmrp also resulted in shortened neurites. Mov10, Fmrp, and Ago2 bound a common set of mRNAs in the brain. Reduced Mov10 in murine brain resulted in anxiety and increased activity in a novel environment, supporting its important role in the development of normal brain circuitry.ConclusionsMov10 is essential for normal neuronal development and brain function. Mov10 preferentially binds RNAs involved in actin binding, neuronal projection, and cytoskeleton. This is a completely new and critically important function for Mov10 in neuronal development and establishes a precedent for Mov10 being an important candidate in neurological disorders that have underlying cytoarchitectural causes like autism and Alzheimer’s disease.Electronic supplementary materialThe online version of this article (doi:10.1186/s12915-017-0387-1) contains supplementary material, which is available to authorized users.
Background: The purpose of this study was to compare the local application of a variety of antimicrobial agents with intravenous (IV) antibiotics for infection prophylaxis in a rat model. Methods: A total of 120 adult male Sprague-Dawley rats were implanted with an expanded polytetrafluoroethylene (ePTFE) vascular graft in a submuscular position and challenged with 2 × 107 colony-forming units of methicillin-sensitive Staphylococcus aureus (MSSA). Twenty rats received pretreatment with IV cefazolin and 20 rats were pretreated with IV vancomycin. The remaining 80 rats had application of local antimicrobials in the wound at the conclusion of the procedure: 20 rats received vancomycin powder; 20 rats, cefazolin powder; and 20 rats, tobramycin powder; 20 rats underwent dilute 0.35% Betadine (povidone-iodine) lavage for 3 minutes. One week after surgery, the grafts were retrieved and cultured. Results: Twenty (100%) of 20 rats in each of the IV cefazolin, IV vancomycin, and dilute Betadine lavage groups had grossly positive cultures for MSSA (95% confidence interval [CI], 84% to 100%). Eighteen (90%) of 20 rats in the cefazolin local powder group demonstrated positive cultures for MSSA (95% CI, 77% to 100%). Four (20%) of 20 rats in the tobramycin local powder and vancomycin local powder groups demonstrated positive cultures for MSSA (95% CI, 3% to 38%). The infection rates for the local application of vancomycin and tobramycin powder were significantly lower compared with Betadine lavage, IV vancomycin, IV cefazolin, and local cefazolin powder (p < 0.000001). Conclusions: Local antimicrobial prophylaxis with vancomycin and tobramycin powder for infections in the rat model was statistically superior to systemic prophylaxis with IV antibiotics, local cefazolin powder, and Betadine lavage. Clinical Relevance: This study supports the findings of prior clinical reports that intrawound vancomycin powder reduces the risk of surgical site infection. Local application of tobramycin powder was equivalent to vancomycin powder in this model. Additionally, the superiority of local antibiotic surgical prophylaxis suggests that clinical studies should be considered to determine the relative efficacy of local versus systemic antibiotics for surgical infection prophylaxis in humans.
Purpose: Machine-learning algorithms are a subset of artificial intelligence that have proven to enhance analytics in medicine across various platforms. Spine surgery has the potential to benefit from improved hardware placement utilizing algorithms that autonomously and accurately measure pedicle and vertebral body anatomy. The purpose of this study was to assess the accuracy of an autonomous convolutional neural network (CNN) in measuring vertebral body anatomy utilizing clinical lumbar computed tomography (CT) scans and automatically segment vertebral body anatomy. Methods: The CNN was trained utilizing 8000 manually segmented CT slices from 15 cadaveric specimens and 30 adult diagnostic scans. Validation was performed with twenty randomly selected patient datasets. Anatomic landmarks that were segmented included the pedicle, vertebral body, spinous process, transverse process, facet joint, and lamina. Morphometric measurement of the vertebral body was compared between manual measurements and automatic measurements. Results: Automatic segmentation was found to have a mean accuracy ranging from 96.38% to 98.96%. Coaxial distance from the lamina to the anterior cortex was 99.10% with pedicle angulation error of 3.47%. Conclusion: The CNN algorithm tested in this study provides an accurate means to automatically identify the vertebral body anatomy and provide measurements for implants and placement trajectories.
Mechanical wear at the articular surface and corrosive processes at modular junctions, such as the trunnion, are responsible for metal ions production. We retrospectively reviewed 64 patients who underwent THA with a metal on metal bearing surface and 34 patients with hip Resurfacing. Metal ion measurements, six-week post-op radiographs, and functional scores were included in the analysis. Cobalt ion levels were significantly elevated in THA patients, 2.95 μg/L as compared to resurfacing patients, (2.95 versus 1.30 μg/L, p < 0.0005). Chromium levels were not significantly different between THA patients and resurfacing patients (1.05 versus 1.00 μg/L, p = 0.529).
Introduction: Several techniques for pedicle screw placement have been described including freehand techniques, fluoroscopy assisted, computed tomography (CT) guidance, and robotics. Image-guided surgery offers the potential to combine the benefits of CT guidance without the added radiation. This study investigated the ability of a neural network to place lumbar pedicle screws with the correct length, diameter, and angulation autonomously within radiographs without the need for human involvement. Materials and Methods: The neural network was trained using a machine learning process. The method combines the previously reported autonomous spine segmentation solution with a landmark localization solution. The pedicle screw placement was evaluated using the Zdichavsky, Ravi, and Gertzbein grading systems. Results: In total, the program placed 208 pedicle screws between the L1 and S1 spinal levels. Of the 208 placed pedicle screws, 208 (100%) had a Zdichavsky Score 1A, 206 (99.0%) of all screws were Ravi Grade 1, and Gertzbein Grade A indicating no breech. The final two screws (1.0%) had a Ravi score of 2 (<2 mm breech) and a Gertzbein grade of B (<2 mm breech). Conclusion: The results of this experiment can be combined with an image-guided platform to provide an efficient and highly effective method of placing pedicle screws during spinal stabilization surgery.
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