Long-term outcome and adverse effects of selective dorsal rhizotomy in children with cerebral palsy: a systematic review

To assess the long-term outcome and adverse events of selective dorsal rhizotomy (SDR) in children with spastic cerebral palsy (CP).

Host-pathogen interactions of secreted and surface Staphylococcus aureus factors

Staphylococcus aureus is an opportunistic bacterial pathogen that can infect humans and other species. It utilizes an arsenal of virulence factors to cause disease, including secreted and cell wall anchored factors. Secreted toxins attack host cells, and pore-forming toxins destroy target cells by causing cell lysis. S. aureus uses cell-surface adhesins to attach to host molecules thereby facilitating host colonization. The Microbial Surface Components Recognizing Adhesive Matrix Molecules (MSCRAMMs) are a family of cell-wall anchored proteins that target molecules like fibronectin and fibrinogen. The Serine-aspartate repeat (Sdr) proteins are a subset of staphylococcal MSCRAMMs that share similar domain organization. Interestingly, the amino-terminus, is composed of three immunoglobulin-folded subdomains (N1, N2, and N3) that contain ligand-binding activity. Clumping factors A and B (ClfA and ClfB) and SdrG are Sdr proteins that bind to fibrinogen (Fg), a large, plasma glycoprotein that is activated during the clotting cascade to form fibrin. In addition to recognizing fibrinogen, ClfA and ClfB can bind to other host ligands. Analysis of S. aureus strains that cause osteomyelitis led to the discovery of the bone-sialoprotein-binding protein (Bbp), an Sdr protein. Because several MSCRAMMs target more than one molecule, I hypothesized that Bbp may recognize other host proteins. A ligand screen revealed that the recombinant construct BbpN2N3 specifically recognizes human Fg. Surface plasmon resonance was used to determine the affinity of BbpN2N3 for Fg, and a dissociation constant of 540 nM was determined. Binding experiments performed with recombinant Fg chains were used to map the binding of BbpN2N3 to the Fg Aalpha chain. Additionally, Bbp expressed on the surface of Lactococcus lactis and S. aureus Newman bald mediated attachment of these bacteria to Fg Aalpha. To further characterize the interaction between the two proteins, isothermal titration calorimetry and inhibition assays were conducted with synthetic Fg Aalpha peptides. To determine the physiological implications of Bbp binding to Fg, the effect of Bbp on fibrinogen clotting was studied. Results show that Bbp binding to Fg inhibits the formation of fibrin. The consequences of this interaction are currently under investigation. Together, these data demonstrate that human Fg is a novel ligand for Bbp. This study indicates that the MSCRAMM Bbp may aid in staphylococcal attachment by targeting both an extracellular matrix and a blood plasma protein. The implications of these novel findings are discussed.

Selection criteria for selective dorsal rhizotomy in children with spastic cerebral palsy: a systematic review of the literature

AIM Information regarding the selection procedure for selective dorsal rhizotomy (SDR) in children with spastic cerebral palsy (CP) is scarce. Therefore, the aim of this study was to summarize the selection criteria for SDR in children with spastic CP. METHOD A systematic review was carried out using the following databases: MEDLINE, CINAHL, EMBASE, PEDro, and the Cochrane Library. Additional studies were identified in the reference lists. Search terms included 'selective dorsal rhizotomy', 'functional posterior rhizotomy', 'selective posterior rhizotomy', and 'cerebral palsy'. Studies were selected if they studied mainly children (<18y of age) with spastic CP, if they had an intervention of SDR, if they had a detailed description of the selection criteria, and if they were in English. The levels of evidence, conduct of studies, and selection criteria for SDR were scored. RESULTS Fifty-two studies were included. Selection criteria were reported in 16 International Classification of Functioning, Disability and Health model domains including 'body structure and function' (details concerning spasticity [94%], other movement abnormalities [62%], and strength [54%]), 'activity' (gross motor function [27%]), and 'personal and environmental factors' (age [44%], diagnosis [50%], motivation [31%], previous surgery [21%], and follow-up therapy [31%]). Most selection criteria were not based on standardized measurements. INTERPRETATION Selection criteria for SDR vary considerably. Future studies should describe clearly the selection procedure. International meetings of experts should develop more uniform consensus guidelines, which could form the basis for selecting candidates for SDR.

Increment thickness versus dentin bond strength of bulk fill flowables

Objectives: The aim was to investigate the influence of increment thickness on shear bond strength (SBS) to dentin of a conventional and two bulk fill flowable composites. Methods: A total of 135 specimens of ground human dentin were produced (n=15/group; 3 increment thicknesses; 3 flowable composites) and the dentin surfaces were treated with the adhesive system OptiBond FL (Kerr) according to manufacturer’s instructions. Split Teflon molds (inner diameter: 3.6 mm) of 2 mm, 4 mm, or 6 mm height allowing three increment thicknesses were clamped on the dentin surfaces and filled with either the conventional flowable Filtek Supreme XTE ((XTE); 3M ESPE) or the bulk fill flowables Filtek Bulk Fill ((FBF); 3M ESPE) or SDR ((SDR); DENTSPLY Caulk). The flowable composites were light-cured for 20 s (Demi LED; Kerr) and the specimens stored for 24 h (37°C, 100% humidity). Specimens were then subjected to a SBS-test in a universal testing machine at a cross-head speed of 1 mm/min (Zwick Z010; Zwick GmbH & Co.). SBS-values were statistically analysed with a nonparametrical ANOVA followed by exact Wilcoxon rank sum tests (α=0.05). Failure mode of the specimens was determined under a stereomicroscope at 25× magnification. Results: SBS-values (MPa) at 2 mm/4 mm/6 mm increment thicknesses (mean value [standard deviation]) were for XTE: 18.8 [2.6]/17.6 [1.6]/16.7 [3.1], for FBF: 20.6 [2.7]/17.8 [2.7]/18.7 [2.9], and for SDR: 21.7 [2.6]/18.5 [2.6]/20.3 [3.0]. For all three flowable composites, 2 mm increments yielded the highest SBS-values whereas for increments of 4 mm and 6 mm no differences were detected. All specimens presented failure modes involving cohesive failure in dentin. Conclusion: The influence of increment thickness on dentin SBS was less pronounced than expected. However, the high number of cohesive failures in dentin, reflecting the efficiency of the adhesive system, suggests a limited discriminatory power of the SBS-test.

Influence of increment thickness on microhardness and dentin bond strength of bulk fill resin composites

OBJECTIVES To investigate the influence of increment thickness on Vickers microhardness (HV) and shear bond strength (SBS) to dentin of a conventional and four bulk fill resin composites. METHODS HV and SBS were determined on specimens of the conventional resin composite Filtek Supreme XTE (XTE) and the bulk fill resin composites SDR (SDR), Filtek Bulk Fill (FBF), x-tra fil (XFIL), and Tetric EvoCeram Bulk Fill (TEBF) after 24h storage. HV was measured either as profiles at depths up to 6mm or at the bottom of 2mm/4mm/6mm thick resin composite specimens. SBS of 2mm/4mm/6mm thick resin composite increments was measured to dentin surfaces of extracted human molars treated with the adhesive system OptiBond FL, and the failure mode was stereomicroscopically determined at 40× magnification. HV profiles and failure modes were descriptively analysed whereas HV at the bottom of resin composite specimens and SBS were statistically analysed with nonparametric ANOVA followed by Wilcoxon rank sum tests (α=0.05). RESULTS HV profiles (medians at 2mm/4mm/6mm): XTE 105.6/88.8/38.3, SDR 34.0/35.5/36.9, FBF 36.4/38.7/37.1, XFIL 103.4/103.9/101.9, TEBF 63.5/59.7/51.9. HV at the bottom of resin composite specimens (medians at 2mm/4mm/6mm): XTE (p<0.0001) 105.5>85.5>31.1, SDR (p=0.10) 25.8=21.9=26.0, FBF (p=0.16) 26.6=25.3=28.9, XFIL (p=0.18) 110.5=107.2=101.9, TEBF (p<0.0001) 63.0>54.9>48.2. SBS (MPa, medians at 2mm/4mm/6mm): XTE (p<0.0001) 23.9>18.9=16.7, SDR (p=0.26) 24.6=22.7=23.4, FBF (p=0.11) 21.4=20.3=22.0, x-tra fil (p=0.55) 27.0=24.0=23.6, TEBF (p=0.11) 21.0=20.7=19.0. The predominant SBS failure mode was cohesive failure in dentin. SIGNIFICANCE At increasing increment thickness, HV and SBS decreased for the conventional resin composite but generally remained constant for the bulk fill resin composites.

A Passive WiFi Source Localization System based on Fine-grained Power-based Trilateration

Indoor localization systems become more interesting for researchers because of the attractiveness of business cases in various application fields. A WiFi-based passive localization system can provide user location information to third-party providers of positioning services. However, indoor localization techniques are prone to multipath and Non-Line Of Sight (NLOS) propagation, which lead to significant performance degradation. To overcome these problems, we provide a passive localization system for WiFi targets with several improved algorithms for localization. Through Software Defined Radio (SDR) techniques, we extract Channel Impulse Response (CIR) information at the physical layer. CIR is later adopted to mitigate the multipath fading problem. We propose to use a Nonlinear Regression (NLR) method to relate the filtered power information to propagation distances, which significantly improves the ranging accuracy compared to the commonly used log-distance path loss model. To mitigate the influence of ranging errors, a new trilateration algorithm is designed as well by combining Weighted Centroid and Constrained Weighted Least Square (WC-CWLS) algorithms. Experiment results show that our algorithm is robust against ranging errors and outperforms the linear least square algorithm and weighted centroid algorithm.

Spit & lies: Does social desirability predict smoking cessation success?

This study examines the role of socially desirable responding (SDR) on smoking cessation program success. SDR is the tendency for individuals to give responses that put themselves in what they perceive to be a socially desirable light. ^ This research is a secondary analysis of data from Project Cognition, a study designed to examine the associations between performance on cognitive assessments and subsequent relapse to smoking. Adult smokers (N=183) were recruited from the greater Houston area to participate in the smoking cessation study. In this portion of the research, participants' smoking status was assessed on their quit day (QD), one week after QD, and four weeks after QD. Primary outcome measures were self-reported relapse, true cessation determined by biological measure, discrepancies between self-reported smoking status and biological assessments of smoking, and dropping out. ^ Primary predictor measures were the Balanced Inventory of Desirable Responding (BIDR) and self-reported motivation to quit smoking. The BIDR is a 40-item questionnaire that assesses Self-deceptive Enhancement (SDE; the tendency to give self-reports that are honest but positively biased) and Impression Management (IM; deliberate self-presentation to an audience). Scores were used to create a dichotomous BIDR total score group variable, a dichotomous SDE group variable, and a dichotomous IM group variable. Participants at one standard deviation above the mean were in the "high" group, and scores below one standard deviation were in the "normal" group. In addition, age, race, and gender were analyzed as covariates. ^ The overall findings of this study suggest that in the general population BIDR informs participants' self-reports and the IM and SDR subscales inform participants' behavior. BIDR predicted self-reported relapse in the general population and trended toward indicating that a participant will claim smoking cessation success when biological measures indicate otherwise. SDE interacted with motivation to predict biologically verified cessation success. There was no main effect for BIDR, IM, or SDE predicting drop out; however, IM interacted with age to predict participants' likelihood of drop out. Used in conjunction, the BIDR, IM subscale, and SDR subscale can be used to more accurately tailor smoking cessation programs to the needs of individual participants.^