Treatment of the Fixation Surface Improves Glenoid Prosthesis Longevity in vitro

Many commercial cemented glenoid components claim superior fixation designs and increased survivability. However, both research and clinical studies have shown conflicting results and it is unclear whether these design variations do improve loosening rates. Part of the difficulty in investigating fixation failure is the inability to directly observe the fixation interface, a problem addressed in this study by using a novel experimental set-up.Cyclic loading-displacement tests were carried out on 60 custom-made glenoid prostheses implanted into a bone substitute. Design parameters investigated included treatment of the fixation surface of the component resulting in different levels of back-surface roughness, flat-back versus curved-back, keel versus peg and more versus less conforming implants. Visually-observed failure and ASTM-recommended rim-displacements were recorded throughout testing to investigate fixation failure and if rim displacement is an appropriate measure of loosening.Roughening the implant back (R_a > 3 µm) improved resistance to failure (P < 0.005) by an order of magnitude with the rough and smooth groups failing at 8712 ± 5584 cycles (mean ± SD) and 1080 ± 1197 cycles, respectively. All other design parameters had no statistically significant effect on the number of cycles to failure. All implants failed inferiorly and 95% (57/60) at the implant/cement interface. Rim-displacement correlated with visually observed failure.The most important effect was that of roughening the implant, which strengthened the polyethylene-cement interface. Rim-displacement can be used as an indicator of fixation failure, but the sensitivity was insufficient to capture subtle effects.Level of Evidence: Basic Science Study, Biomechanical Analysis.     

Purification and identification of a novel peptide derived from by-products fermentation of spiny head croaker (Collichthys lucidus) with antifungal effects on phytopathogens

In our previous study, spiny head croaker (Collichthys lucidus) by-products fermentation (SBF) products demonstrated plant growth promoting effects. In this study, the antimicrobial activities of SBF against plant pathogenic fungi and food-borne bacteria were evaluated. An active antifungal fraction SBF-3-1 was isolated from SBF using size exclusion chromatography and high performance liquid chromatography. Seven short peptides, i.e., LDEGW, DSFDFK, LDGW, FPDL, YNLDFK, FDGF and LDFE, plus one 22 residues peptide TFNTPAMYVAIQAVLSLYASGR were identified in SBF-3-1 by liquid chromatography-electrospray ionization/multi-stage mass spectrometry (LC-ESI-Q-TOF-MS/MS). The peptide TFNTPAMYVAIQAVLSLYASGR (named as SBF-3-1p), a potential antimicrobial peptide predicted by the antimicrobial peptide database (APD, http://aps.unmc.edu/AP/main.php), was further characterized. The prediction showed that the generation of SBF-3-1p could be associated with the action of trypsin and glutamyl endopeptidase, two proteases with specific cleavage sites on the carboxyl side of arginine (R) and lysine (K), and on the carboxyl side of Glu (E), respectively. According to the structural modeling, SBF-3-1p contained one α-helix and two loop regions. The synthesized SBF-3-1p exhibited strong activity against plant pathogenic fungus Pestalotiopsis sp. Therefore, SBF should be a good source of antifungal peptide, and could be used as natural fungicides in agriculture.     

A practical solution to reduce soft tissue artifact error at the knee using adaptive kinematic constraints

Musculoskeletal modeling and simulations have vast potential in clinical and research fields, but face various challenges in representing the complexities of the human body. Soft tissue artifact from skin-mounted markers may lead to non-physiological representation of joint motions being used as inputs to models in simulations. To address this, we have developed adaptive joint constraints on five of the six degree of freedom of the knee joint based on in vivo tibiofemoral joint motions recorded during walking, hopping and cutting motions from subjects instrumented with intra-cortical pins inserted into their tibia and femur. The constraint boundaries vary as a function of knee flexion angle and were tested on four whole-body models including four to six knee degrees of freedom. A musculoskeletal model developed in OpenSim simulation software was constrained to these in vivo boundaries during level gait and inverse kinematics and dynamics were then resolved. Statistical parametric mapping indicated significant differences (p < 0.05) in kinematics between bone pin constrained and unconstrained model conditions, notably in knee translations, while hip and ankle flexion/extension angles were also affected, indicating the error at the knee propagates to surrounding joints. These changes to hip, knee, and ankle kinematics led to measurable changes in hip and knee transverse plane moments, and knee frontal plane moments and forces. Since knee flexion angle can be validly represented using skin mounted markers, our tool uses this reliable measure to guide the five other degrees of freedom at the knee and provide a more valid representation of the kinematics for these degrees of freedom.     

Effects of anterior offsetting of humeral head component in posteriorly unstable total shoulder arthroplasty: Finite element modeling of cadaver specimens

A novel technique of “anterior offsetting” of the humeral head component to address posterior instability in total shoulder arthroplasty has been proposed, and its biomechanical benefits have been previously demonstrated experimentally. The present study sought to characterize the changes in joint mechanics associated with anterior offsetting with various amounts of glenoid retroversion using cadaver specimen-specific 3-dimensional finite element models. Specimen-specific computational finite element models were developed through importing digitized locations of six musculotendinous units of the rotator cuff and deltoid muscles based off three cadaveric shoulder specimens implanted with total shoulder arthroplasty in either anatomic or anterior humeral head offset. Additional glenoid retroversion angles (0°, 10°, 20°, and 30°) other than each specimen׳s actual retroversion were modeled. Contact area, contact force, peak pressure, center of pressure, and humeral head displacement were calculated at each offset and retroversion for statistical analysis. Anterior offsetting was associated with significant anterior shift of center of pressure and humeral head displacement upon muscle loading (p<0.05). Although statistically insignificant, anterior offsetting was associated with increased contact area and decreased peak pressure (p > 0.05). All study variables showed significant differences when compared between the 4 different glenoid retroversion angles (p < 0.05) except for total force (p < 0.05). The study finding suggests that the anterior offsetting technique may contribute to joint stability in posteriorly unstable shoulder arthroplasty and may reduce eccentric loading on glenoid components although the long term clinical results are yet to be investigated in future.     

The Role of Soft Vein Joints in Dragonfly Flight

Dragonflies are excellent flyers among insects and their flight ability is closely related to the architecture and material properties of their wings.The veins are main structure components of a dragonfly wing,which are found to be connected by resilin with high elasticity at some joints.A three-dimensional (3D) finite element model of dragonfly wing considering the soft vein joints is developed,with some simplifications.Passive deformation under aerodynamic loads and active flapping motion of the wing are both studied.The functions of soft vein joints in dragonfly flight are concluded.In passive deformation,the chordwise flexibility is improved by soft vein joints and the wing is cambered under loads,increasing the action area with air.In active flapping,the wing rigidity in spanwise direction is maintained to achieve the required amplitude.As a result,both the passive deformation and the active control of flapping work well in dragonfly flight.The present study may also inspire the design of biomimetic Flapping Micro Air Vehicles (FMAVs).     

低温在脊髓损伤治疗中应用的研究进展

脊髓损伤多由高空坠落、车祸、运动冲击等原因引起,是脊柱外科的一种常见疾病,至今仍是一个治疗难题。低温疗法是一种重要的物理治疗手段,以多种机制减少脊髓损伤后有害因素的产生,是一种有效的脊髓保护途径。其在脊髓损伤的研究中表现出很好的效果,为脊髓损伤的治疗提供了新的思路,然而也发现一些低温治疗导致的全身性或某些系统为主的不良影响,需要我们进一步研究和解决,以期达到更好的治疗效果。本文就低温治疗用于脊髓损伤应用中的研究进展进行综述。     

盐酸氨基葡萄糖片联合玻璃酸钠治疗颞下颌关节骨关节炎的疗效观察

目的:研究盐酸氨基葡萄糖片联合玻璃酸钠治疗颞下颌关节骨关节炎(TMJOA)的临床疗效,为临床治疗提供依据。方法:选取2012年11月到2015年11月我院收治的TMJOA患者60例,按照随机数字表法将患者分为研究组和对照组,每组30例,两组均给予玻璃酸钠关节腔注射,研究组在此基础上给予盐酸氨基葡萄糖片治疗,应用视觉模拟评分法(VAS)评价关节疼痛情况,比较两组临床疗效和不良反应,比较治疗前后两组最大张口度、张口VAS评分和张口偏斜。结果:研究组总有效率为83.33%(25/30),显著高于对照组的56.67%(17/30),比较差异具有统计学意义(P0.05);治疗后两组张口VAS评分和张口偏斜显著降低,最大张口度显著增高,且研究组显著优于对照组,比较差异具有统计学意义(P0.05);两组不良反应发生率比较差异无统计学意义(P0.05)。结论:盐酸氨基葡萄糖片联合玻璃酸钠治疗TMJOA具有较好的临床疗效,能有效改善患者关节功能。     

进展性缺血性卒中预后的相关因素分析

目的:探究进展性缺血性卒中预后的相关危险因素。方法:选取进展性缺血性卒中患者98例,根据复发情况将患者分为复发组和无复发组,分析进展性缺血性卒中复发与二级预防的关系。无复发组的患者按根据随访的mRS评分高低分为:预后良好组(mRS 0~2分)和预后差组(mRS 3~5分),分析影响预后的相关因素。结果:98例进展性缺血性卒中患者六个月复发率为10.2%(10/98)。无复发组较复发组应用降压药、降糖药、抗血小板聚集药物、他汀类降脂药的患者比例较复发组高,两组比较差异均具有统计学意义(P0.05)。无复发组患者出院后一个月、三个月及六个月,单因素分析入院时白细胞计数、LDL、血糖与预后相关(P0.05)。多因素logistic回归分析LDL、血糖和白细胞计数是影响出院后一个月预后的危险因素;血糖和白细胞计数是影响出院后三个月预后的危险因素;LDL和血糖是影响出院后六个月预后的危险因素。结论:良好的二级预防依从性有利于降低进展性缺血性卒中的复发率。入院时白细胞计数、LDL、血糖是影响进展性缺血性卒中预后的相关因素。入院时白细胞计数、LDL及空腹血糖值较高的进展性缺血卒中患者,其预后往往较差。     

Bayesian joint models with INLA exploring marine mobile predator–prey and competitor species habitat overlap

Understanding spatial physical habitat selection driven by competition and/or predator–prey interactions of mobile marine species is a fundamental goal of spatial ecology. However, spatial counts or density data for highly mobile animals often (1) include excess zeros, (2) have spatial correlation, and (3) have highly nonlinear relationships with physical habitat variables, which results in the need for complex joint spatial models. In this paper, we test the use of Bayesian hierarchical hurdle and zero‐inflated joint models with integrated nested Laplace approximation (INLA), to fit complex joint models to spatial patterns of eight mobile marine species (grey seal, harbor seal, harbor porpoise, common guillemot, black‐legged kittiwake, northern gannet, herring, and sandeels). For each joint model, we specified nonlinear smoothed effect of physical habitat covariates and selected either competing species or predator–prey interactions. Out of a range of six ecologically important physical and biologic variables that are predicted to change with climate change and large‐scale energy extraction, we identified the most important habitat variables for each species and present the relationships between these bio/physical variables and species distributions. In particular, we found that net primary production played a significant role in determining habitat preferences of all the selected mobile marine species. We have shown that the INLA method is well‐suited for modeling spatially correlated data with excessive zeros and is an efficient approach to fit complex joint spatial models with nonlinear effects of covariates. Our approach has demonstrated its ability to define joint habitat selection for both competing and prey–predator species that can be relevant to numerous issues in the management and conservation of mobile marine species.