BMP depletion occurs during prolonged acid demineralization of bone: characterization and implications for graft preparation

Demineralization of allograft bone increases the bioavailability of matrix-associated bone morphogenetic proteins (BMPs), rendering these grafts osteoinductive. While osteoinductivity is related to BMP content, little is known about how the demineralization protocol, in particular, extended demineralization times, affects graft BMP levels. We characterized the BMP-7 content of <710 μm bovine bone powder demineralized under various conditions. Using 1 g of bone per 50 ml of 0.125 N, 0.25 N, or 0.5 N HCl, demineralization was performed at room temperature for 5 min to 24 h. Minimum residual calcium levels were obtained within 90 min and were <1 wt % using the 0.25 N and 0.5 N baths and 17 wt % using the 0.125 N bath. Measured peak BMP-7 levels were also obtained within 90 min and were 161–165 ng g⁻¹ using the 0.25 N and 0.5 N baths and 55.2 ng g⁻¹ using the 0.125 N bath. This compares to 5.1 ng g⁻¹ for undemineralized bone. Further acid bath exposure to 24 h resulted in BMP-7 decline to about 50% of the peak value, which was significant. The BMP-7 half-life was estimated to be 26 h. It is likely that the decline was due to diffusion of BMP-7 from the bone matrix into the acid. These results suggest the importance of not over demineralizing bone grafts and should stimulate further research that can be incorporated into the processing methodology followed by tissue banks.     

Molecular Docking and Cognitive Impairment Attenuating Effect of Phenolic Compound Rich Fraction of Trianthema portulacastrum in Scopolamine Induced Alzheimer’s Disease Like Condition

Neurochemical Research - Dementia is considered as the frequent cause of neurodegenerative mental disorder such as Alzheimer’s disease (AD) amongst elderly people. Free radicals as well as...     

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools

Quantitatively capturing developmental processes is crucial to derive mechanistic models and key to identify and describe mutant phenotypes. Here protocols are presented for preparing embryos and adult C. elegans animals for short- and long-term time-lapse microscopy and methods for tracking and quantification of developmental processes. The methods presented are all based on C. elegans strains available from the Caenorhabditis Genetics Center and on open-source software that can be easily implemented in any laboratory independently of the microscopy system used. A reconstruction of a 3D cell-shape model using the modelling software IMOD, manual tracking of fluorescently-labeled subcellular structures using the multi-purpose image analysis program Endrov, and an analysis of cortical contractile flow using PIVlab (Time-Resolved Digital Particle Image Velocimetry Tool for MATLAB) are shown. It is discussed how these methods can also be deployed to quantitatively capture other developmental processes in different models, e.g., cell tracking and lineage tracing, tracking of vesicle flow.     

MIDA: A Multimodal Imaging-Based Detailed Anatomical Model of the Human Head and Neck

Computational modeling and simulations are increasingly being used to complement experimental testing for analysis of safety and efficacy of medical devices. Multiple voxel- and surface-based whole- and partial-body models have been proposed in the literature, typically with spatial resolution in the range of 1–2 mm and with 10–50 different tissue types resolved. We have developed a multimodal imaging-based detailed anatomical model of the human head and neck, named “MIDA”. The model was obtained by integrating three different magnetic resonance imaging (MRI) modalities, the parameters of which were tailored to enhance the signals of specific tissues: i) structural T1- and T2-weighted MRIs; a specific heavily T2-weighted MRI slab with high nerve contrast optimized to enhance the structures of the ear and eye; ii) magnetic resonance angiography (MRA) data to image the vasculature, and iii) diffusion tensor imaging (DTI) to obtain information on anisotropy and fiber orientation. The unique multimodal high-resolution approach allowed resolving 153 structures, including several distinct muscles, bones and skull layers, arteries and veins, nerves, as well as salivary glands. The model offers also a detailed characterization of eyes, ears, and deep brain structures. A special automatic atlas-based segmentation procedure was adopted to include a detailed map of the nuclei of the thalamus and midbrain into the head model. The suitability of the model to simulations involving different numerical methods, discretization approaches, as well as DTI-based tensorial electrical conductivity, was examined in a case-study, in which the electric field was generated by transcranial alternating current stimulation. The voxel- and the surface-based versions of the models are freely available to the scientific community.     

In Vitro Efficacy of Lipid Conjugated Peptidomimetics Against Mycobacterium smegmatis

International Journal of Peptide Research and Therapeutics - Tuberculosis has become a cause of worldwide concern; emergence of resistance in various mycobacterial strains has led to an urgent...     

Concentrations of heavy metals in vegetables between 2004 and 2018, and its impacts on human health in China

Abstract

Heavy metals in vegetables are of great concern worldwide due to their potential bioaccumulation in human. This review-based study researched the concentrations of heavy metals in vegetables from all provinces of China between 2004 and 2018, and assessed the health risk for the residents. The results displayed the highest Pb, Cd, Cu, and Zn concentrations in vegetables were 0.192?mg/kg (west area), 0.071?mg/kg (central area), 3.961?mg/kg (central area), and 10.545?mg/kg (central area), which were lower than the maximum allowable concentration. In the national scale, the weighted average level of heavy metals in vegetables was found to be in the order of Zn?>?Cu?>?Pb?>?Cd. The hazard index (HI) of each province showed that beside Anhui and Hunan province, residents in other provinces of China faced a low high risk of Pb, Cd, Cu, and Zn. However, people consuming vegetables faced a high risk of Pb, Cd, Cu, and Zn in Anhui and Hunan provinces. This research may provide insight into heavy metal accumulation in vegetables and forecast to residents to cope with these problems for improved human health.     

Development of a robust QSAR model to predict the affinity of pyrrolidine analogs for dipeptidyl peptidase IV (DPP- IV)

QSAR analysis using multiple linear regression and partial least squares methods were conducted on a data set of 47 pyrrolidine analogs acting as DPP IV inhibitors. The QSAR models generated (both MLR and PLS) were robust with statistically significant s, F, r, r(2) and r(2) (CV) values. The analysis helped to ascertain the role of shape flexibility index, Ipso atom E-state index and electrostatic parameters like dipole moment, in determining the activity of DPP IV inhibitors. In addition to QSAR modeling, Lipinski's rule of five was also employed to check the pharmacokinetic profile of DPP IV inhibitors. Since none of the compounds violated the Lipinski's rule of five indicating that the DPP IV inhibitors reported herein have sound pharmacokinetic profile and can be considered as potential drug candidates for diabetes mellitus Type II.