Bibliometric and visualization analysis of matrix metalloproteinases in ischemic stroke from 1992 to 2022

BackgroundMatrix metalloproteinases (MMPs) are important players in the complex pathophysiology of ischemic stroke (IS). Recent studies have shown that tremendous progress has been made in the research of MMPs in IS. However, a comprehensive bibliometric analysis is lacking in this research field. This study aimed to introduce the research status as well as hotspots and explore the field of MMPs in IS from a bibliometric perspective.MethodsThis study collected 1,441 records related to MMPs in IS from 1979 to 2022 in the web of science core collection (WoSCC) database, among them the first paper was published in 1992. CiteSpace, VOSviewer, and R package “bibliometrix” software were used to analyze the publication type, author, institution, country, keywords, and other relevant data in detail, and made descriptive statistics to provide new ideas for future clinical and scientific research.ResultsThe change in the number of publications related to MMPs in IS can be divided into three stages: the first stage was from 1992 to 2012, when the number of publications increased steadily; the second stage was from 2013 to 2017, when the number of publications was relatively stable; the third stage was from 2018 to 2022, when the number of publications began to decline. The United States and China, contributing more than 64% of publications, were the main drivers for research in this field. Universities in the United States were the most active institutions and contributed the most publications. STROKE is the most popular journal in this field with the largest publications as well as the most co-cited journal. Rosenberg GA was the most prolific writer and has the most citations. “Clinical,” “Medical,” “Neurology,” “Immunology” and “Biochemistry molecular biology” were the main research areas of MMPs in IS. “Molecular regulation,” “Metalloproteinase-9 concentration,” “Clinical translation” and “Cerebral ischemia–reperfusion” are the primary keywords clusters in this field.ConclusionThis is the first bibliometric study that comprehensively mapped out the knowledge structure and development trends in the research field of MMPs in IS in recent 30 years, which will provide a reference for scholars studying this field

Fabrication and braiding angle effect on the improved interlaminar shear performances of 3D braided sandwich hybrid composites

While the interlaminar hybrid composites have been used widely and still remain in great demands, interlayer delamination, undesirable in most cases, keeps a common defect, due to the lack of interlaminar fiber-connection. Here, on the basis of the yarn interlacing rule in three-dimensional (3D) four-step braiding technology, 3D braided carbon fibers/Kevlar fibers sandwich (S_) hybrid composites with different braiding angles (S_20°, S_30° and S_40°) have been designed and fabricated with interlaminar fiber-connection. Short-beam shear tests were applied to evaluate the interlaminar shear performances of specimens. The in-situ strain maps during tests were characterized by digital image correlation (DIC) technique and specimen damages were observed via scanning electron microscope (SEM) and computed tomography (CT). Results showed that, comparing to the conventional co-cured laminated hybrid composites, 3D braided sandwich hybrid composites resisted the delamination effectively by the fiber-connection hybrid region. Braiding angle effect of 3D braided sandwich hybrid composites revealed that S_20° showed better deformability and higher structural toughness than their counterparts in S_30° and S_40°. The results presented in the current work would be helpful for the design and manufacturing of well structured hybrid preforms and composites with dramatically improved interlaminar shear properties

Decoding the Mobility and Time Scales of Protein Loops

The flexible nature of protein loops and the time scales of their dynamics are critical for many biologically important events at the molecular level, such as protein interaction and recognition processes. In order to obtain a predictive understanding of the dynamic properties of loops, 500 ns molecular dynamics (MD) computer simulations of 38 different proteins were performed and validated using NMR chemical shifts. A total of 169 loops were analyzed and classified into three types, namely fast loops with correlation times <10 ns, slow loops with correlation times between 10 and 500 ns, and loops that are static over the course of the whole trajectory. Chemical and biophysical loop descriptors, such as amino-acid sequence, average 3D structure, charge distribution, hydrophobicity, and local contacts were used to develop and parametrize the ToeLoop algorithm for the prediction of the flexibility and motional time scale of every protein loop, which is also implemented as a public Web server (http://spin.ccic.ohio-state.edu/index.php/loop). The results demonstrate that loop dynamics with their time scales can be predicted rapidly with reasonable accuracy, which will allow the screening of average protein structures to help better understand the various roles loops can play in the context of protein–protein interactions and binding

NMR Order Parameter Determination from Long Molecular Dynamics Trajectories for Objective Comparison with Experiment

Functional protein motions covering a wide range of time scales can be studied, among other techniques, by NMR and by molecular dynamics (MD) computer simulations. MD simulations of proteins now routinely extend into the hundreds of nanoseconds time scale range exceeding the overall tumbling correlation times of proteins in solution by several orders of magnitude. This provides a unique opportunity to rigorously validate these simulations by quantitative comparison with model-free order parameters derived from NMR relaxation experiments. However, presently there is no consensus on how such a comparison is best done. We address here how this can be accomplished in a way that is both efficient and objective. For this purpose, we analyze ¹⁵N <i>R</i>₁ and <i>R</i>₂ and heteronuclear {¹H}–¹⁵N NOE NMR relaxation parameters computed from 500 ns MD trajectories of 10 different protein systems using the model-free analysis. The resulting model-free <i>S</i>² order parameters are then used as targets for <i>S</i>² values computed directly from the trajectories by the iRED method by either averaging over blocks of variable lengths or by using exponentially weighted snapshots (wiRED). We find that the iRED results are capable of reproducing the target <i>S</i>² values with high accuracy provided that the averaging window is chosen 5 times the length of the overall tumbling correlation time. These results provide useful guidelines for the derivation of NMR order parameters from MD for a meaningful comparison with their experimental counterparts

Improvement of AD-Census Algorithm Based on Stereo Vision

Problems such as low light, similar background colors, and noisy image acquisition often occur when collecting images of lunar surface obstacles. Given these problems, this study focuses on the AD-Census algorithm. In the original Census algorithm, in the bit string calculated with the central pixel point, the bit string will be affected by the noise that the central point is subjected to. The effect of noise results in errors and mismatching. We introduce an improved algorithm to calculate the average window pixel for solving the problem of being susceptible to the central pixel value and improve the accuracy of the algorithm. Experiments have proven that the object contour in the grayscale map of disparity obtained by the improved algorithm is more apparent, and the edge part of the image is significantly improved, which is more in line with the real scene. In addition, because the traditional Census algorithm matches the window size in a fixed rectangle, it is difficult to obtain a suitable window in the image range of different textures, affecting the timeliness of the algorithm. An improvement idea of area growth adaptive window matching is proposed. The improved Census algorithm is applied to the AD-Census algorithm. The results show that the improved AD-Census algorithm has been shown to have an average run time of 5.3% and better matching compared to the traditional AD-Census algorithm for all tested image sets. Finally, the improved algorithm is applied to the simulation environment, and the experimental results show that the obstacles in the image can be effectively detected. The improved algorithm has important practical application value and is important to improve the feasibility and reliability of obstacle detection in lunar exploration projects

Visualization 2.avi

Slice-by-slice axial scanning sequence of bovine pulmonary artery endothelial cells (F36924, Invitrogen, USA), comparing the 2-D phase mask (top) and the piezoelectric scanner (bottom), over a depth of 25 microns

2960984.pdf

Supplemental materia

Characterization of the oligomerization and ligand-binding properties of recombinant rat lipocalin 11

Lipocalin 11 (Lcn11), a recently identified member of the lipocalin family, potentially plays crucial physiological roles in male reproduction. In this present work, we cloned, expressed and purified the rat Lcnl11 (rLcn11) protein in Escherichia coli. A C59A/C156A substitution was introduced to ameliorate the misfolding and aggregation problem associated with the wild-type protein. From circular dichroism and non-reducing SDS-PAGE, we characterized the conformational properties of rLcn11 as a typical lipocalin scaffold with the conserved disulfide bridge. The results obtained from size-exclusion chromatography, cross-linking experiment and dynamic light scattering analysis indicate that the recombinant rLcn11 protein forms dimer in neutral solution. By using fluorescent probe 8-anilino-1-naphtahlene sulfonic acid (ANS), we found rLcn11 might contain multiple hydrophobic binding sites for ligand binding. Similarly to the odorant-binding protein, rLcn11 processes a moderate affinity for binding 1-aminoanthracene (AMA), implying that Lcn11 might work as a dimeric chemoreception protein in male reproductive system. (C) 2012 Elsevier B.V. All rights reserved

Characterization of the oligomerization and ligand-binding properties of recombinant rat lipocalin 11

Lipocalin 11 (Lcn11), a recently identified member of the lipocalin family, potentially plays crucial physiological roles in male reproduction. In this present work, we cloned, expressed and purified the rat Lcnl11 (rLcn11) protein in Escherichia coli. A C59A/C156A substitution was introduced to ameliorate the misfolding and aggregation problem associated with the wild-type protein. From circular dichroism and non-reducing SDS-PAGE, we characterized the conformational properties of rLcn11 as a typical lipocalin scaffold with the conserved disulfide bridge. The results obtained from size-exclusion chromatography, cross-linking experiment and dynamic light scattering analysis indicate that the recombinant rLcn11 protein forms dimer in neutral solution. By using fluorescent probe 8-anilino-1-naphtahlene sulfonic acid (ANS), we found rLcn11 might contain multiple hydrophobic binding sites for ligand binding. Similarly to the odorant-binding protein, rLcn11 processes a moderate affinity for binding 1-aminoanthracene (AMA), implying that Lcn11 might work as a dimeric chemoreception protein in male reproductive system. (C) 2012 Elsevier B.V. All rights reserved