Multiscale and multidisciplinary analysis of aging processes in bone.

The world population is increasingly aging, deeply affecting our society by challenging our healthcare systems and presenting an economic burden, thus turning the spotlight on aging-related diseases: exempli gratia, osteoporosis, a silent disease until you suddenly break a bone. The increase in bone fracture risk with age is generally associated with a loss of bone mass and an alteration in the skeletal architecture. However, such changes cannot fully explain increased fragility with age. To successfully tackle age-related bone diseases, it is paramount to comprehensively understand the fundamental mechanisms responsible for tissue degeneration. Aging mechanisms persist at multiple length scales within the complex hierarchical bone structure, raising the need for a multiscale and multidisciplinary approach to resolve them. This paper aims to provide an overarching analysis of aging processes in bone and to review the most prominent outcomes of bone aging. A systematic description of different length scales, highlighting the corresponding techniques adopted at each scale and motivating the need for combining diverse techniques, is provided to get a comprehensive description of the multi-physics phenomena involved.

Molecular interactions of tannic acid and matrix metalloproteinases 2 and 9.

Tannic acid (TA) has antibacterial, antioxidant, and anti-inflammatory properties and acts as an adhesive, hemostatic, and crosslinking agent in hydrogels. Matrix metalloproteinases (MMPs), a family of endopeptidase enzymes, play important roles in tissue remodeling and wound healing. TA has been reported to inhibit MMP-2/- 9 activities, thereby improving both tissue remodeling and wound healing. However, the mechanism of interaction of TA with MMP-2 and MMP-9 has not been fully elucidated. In this study, the full atomistic modeling approach was applied to explore the mechanisms and structures of TA binding with MMP-2 and MMP-9. Macromolecular models of the TA-MMP-2/- 9 complex were built by docking based on experimentally resolved MMP structures, and further equilibrium processes were examined by molecular dynamics (MD) simulations to investigate the binding mechanism and structural dynamics of the TA-MMP-2/- 9 complexes. The molecular interactions between TA and MMPs, including H-bond formation and hydrophobic and electrostatic interactions, were analyzed and decoupled to elucidate the dominant factors in TA-MMP binding. TA binds to MMPs mainly at two binding regions, residues 163-164 and 220-223 in MMP-2 and residues 179-190 and 228-248 in MMP-9. Two arms of TA participate in binding MMP-2 with 3.61 hydrogen bonds. On the other hand, TA binds MMP-9 with a distinct configuration involving four arms with 4.75 hydrogen bonds, resulting in a tighter binding conformation. Understanding the binding mechanism and structural dynamics of TA with these two MMPs provides crucial and fundamental knowledge regarding the inhibitory and stabilizing effects of TA on MMPs.

High-Dimensional Phase Space Reconstruction with a Convolutional Neural Network for Structural Health Monitoring.

In order to accurately diagnose the health of high-order statically indeterminate structures, most existing structural health monitoring (SHM) methods require multiple sensors to collect enough information. However, comprehensive data collection from multiple sensors for high degree-of-freedom structures is not typically available in practice. We propose a method that reconciles the two seemingly conflicting difficulties. Takens' embedding theorem is used to augment the dimensions of data collected from a single sensor. Taking advantage of the success of machine learning in image classification, high-dimensional reconstructed attractors were converted into images and fed into a convolutional neural network (CNN). Attractor classification was performed for 10 damage cases of a 3-story shear frame structure. Numerical results show that the inherently high dimension of the CNN model allows the handling of higher dimensional data. Information on both the level and the location of damage was successfully embedded. The same methodology will allow the extraction of data with unsupervised CNN classification to be consistent with real use cases.

Absorption dynamic characteristics of clopidogrel bisulfate polymorphs in rat / 药学学报

Four crystalline forms of clopidogrel bisulfate were characterized by analytical techniques. Aiming to research the absorption characteristics of clopidogrel bisulfate polymorphs after taken orally by rat, and to estimate the influence of crystal form to pharmacodynamic action, four crystalline forms of clopidogrel bisulfate were administered intragastrically to rats, and high performance liquid chromatography (HPLC) was used to measure the contents of clopidogrel bisulfate and its metabolite in rat plasma. The metabolite of clopidogrel bisulfate was detected in rat plasma. There were significant deviations among four crystalline forms in the areas under curve of the metabolite of clopidogrel bisulfate. We concluded that the different crystal forms of clopidogrel bisulfate showed different pharmacokinetic characteristics, which might affect pharmacodynamic action.