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Atherosclerosis (AS) is the most dangerous factor for human death, which is a lipid-driven chronic inflammatory disorder of the arteries. Growing evidence has showed that microRNAs play an important role in AS. However, the role of mir-193b-3p in atherosclerosis has been poorly studied to date. Therefore, we focused on the potential role of miR-193b-3p in atherosclerosis. The expressions of miR-193b-3p in the serum of AS patients were detected. We also established an oxidized low density lipoprotein (ox-LDL)-induced human umbilical vein endothelial cells (HUVECs) apoptosis model in vitro. The mRNA and protein levels of target molecules were detected by RT-qPCR and Western blotting. Apoptosis of HUVECs was determined by Annexin V/PI staining on a flow cytometry. The potential molecular targets of miR-193b-3p were investigated by applying such technologies as dual-luciferase reporter and RIP assay. Our study showed that miR-193b-3p expression level was significantly lower in AS patients than controls. ROC curve analysis showed that the areas under the curve (AUC) of plasma miR-193b-3p was 0.859. We also found that miR-193b-3p was decreased in ox-LDL-induced HUVECs and knockdown of miR-193b-3p suppressed ox-LDL-induced HUVECs injury. By using bioinformatics analysis, aldehyde dehydrogenase (ALDH2) was predicted as a downstream target of miR-193b-3p. The ALDH2 gene is also involved in the development of atherosclerosis. Meanwhile, inhibition of miR-193b-3p and ALDH2 protects ox-LDL-induced HUVECs against endoplasmic-reticulum (ER) stress. In conclusion, inhibition of miR-193b-3p was able to suppress ox-LDL-induced injury in AS through targeting ALDH2 and reducing ER stress.

Emerging evidence indicates the early growth response 1 (Egr1) plays an important role in the pathogenesis of chronic pain. However, the regulation of Egr1 expression in the DRG and spinal cord in neuropathic pain remains unclear. In the current study, the neuropathic pain was conducted by lumber 5 spinal nerve ligation (SNL) in rats. The role of miR-124-3p in Egr1 expression was examined. Our results showed that the SNL led to a significant increase in the expression of Egr1 mRNA and protein in the DRG and dorsal horn. This increased expression of Egr1 correlated with a reduction of miR-124-3p in the same region. Prior i.t. injection of Egr1 decoy AYX1 inhibited the expression of Egr1 and attenuated the neuropathic pain-like hypersensitivity following SNL. The dual-luciferase reporter assay revealed the luciferase activity of the Egr1 3'-UTR plasmid was inhibited by the miR-124-3p agomir. But this inhibition was completely reversed in the mutant 3'-UTR Egr1 group. In vivo, the SNL-induced behavioral signs of neuropathic pain and the increases in Egr1 mRNA and protein in the DRG and dorsal horn were prevented by prior to i.t. injection of miR-124-3p agomir. While, i.t. injection of miR-124-3p antagomir in naïve rats resulted in mechanical allodynia and thermal hyperalgesia and an overexpression of Egr1 in the DRG and dorsal horn. Together, our results suggest that the miR-124-3p-regulated Egr1 expression in the DRG and dorsal horn contributes to the development of neuropathic pain. Targeting miR-124-3p might be a promising therapeutic strategy in the treatment of chronic pain.

Background and objectives Acquired bilateral nevus of Ota-like macules (ABNOM) is common among the Chinese population. There have been few studies on the use of a picosecond alexandrite laser for the treatment of ABNOMs. The goal of this study was to evaluate the efficacy and safety of a 755 nm picosecond alexandrite laser for the treatment of ABNOMs. Study design/materials and methods A total of 225 subjects diagnosed with ABNOMs were included in this retrospective study. A 755 nm picosecond alexandrite laser system was used to treat all subjects. The safety and effectiveness of the laser were determined using a clinical photo assessment. The correlating factors of the patients, including the age, Fitzpatrick skin type, lesion location, lesion color, treatment procedures, melasma, and outcomes, were analyzed. Results The patients underwent one to four treatment sessions with clinical clearance (>90%) rates of 8.89%, 30.99%, 56.65%, and 60.00%, respectively. A higher number of sessions was positively associated with a better treatment response. The hyperpigmentation incidence rate was 22.67%, and one case of hypopigmentation was observed. Conclusion Our results suggest that a picosecond alexandrite laser is an effective and safe approach for treating ABNOMs in Chinese patients. Lasers Surg. Med. © 2020 Wiley Periodicals, Inc.

Purpose Radiofrequency equipment, including invasive fractional microneedle radiofrequency (FMR) and noninvasive fractional radiofrequency (FR), has facilitated progress in the field of active acne treatment, but clinical data are limited. This study aimed to compare the efficacy and safety of FMR and FR in the treatment of moderate-to-severe acne vulgaris. Methods Ten patients with moderate-to-severe acne were enrolled in a 24-week, prospective, single-blind, randomized, comparative clinical trial with a split-face design. Fractional microneedle radiofrequency treatment was provided on one side of the face and FR on the opposite side. Three consecutive treatments were performed at 4-week interval. Objective assessment of efficacy was performed using the Acne Severity Index (ASI), and acne inflammatory lesions and noninflammatory lesions were evaluated. Results After the first treatment, ASI and both inflammatory and noninflammatory lesions of the FMR-treated side were improved to a greater degree than the FR-treated side. Patients' subjective satisfaction was also better regarding the FMR-treated side. After subsequent treatments, efficacy improves for both groups, and no significant differences in the above efficacy parameters between the two groups were observed. Pain scores were significantly higher for the FR-treated side than the FMR-treated side. Conclusion Fractional microneedle radiofrequency is faster and more effective than FR for the treatment of moderate and severe acne after only one treatment. However, after several treatment sessions, both FMR and FR proved to be safe and effective for long-term treatment of moderate-to-severe acne. Therefore, invasive radiofrequency, such as FMR, or noninvasive radiofrequency, such as FR, can successfully treat active acne.

Accumulation of filamentous aggregates of α-synuclein (AS) in Lewy bodies and neurites is characteristic of neurodegenerative diseases such as Parkinson's disease. Inhibition of AS fibrillation is helpful for understanding of AS aggregate structure and for developing chemical therapies. Herein, we report that the PtII -containing antitumor drug cisplatin suppresses filamentous aggregation of AS in solution. PtII thus contrasts strongly with reported transition-metal ions such as MnII , FeIII , and CuII , which accelerate AS aggregation. Interaction between PtII and the side chains of methionine and histidine residues was essential for inhibition of AS fibrillation. Binding of PtII to AS did not change the protein's overall random coil structure, as indicated by solution-state two-dimensional NMR and circular dichroism spectroscopy; and a solution of the AS⋅PtII complex remained free of filamentous aggregates. Our results constitute interesting new information about the biological chemistry of metal ions in Parkinson's disease and might open new lines of research into the suppression of filamentous aggregation.

Giant clams provide and support valuable functions to coral reefs, as well as represent a sustainable resource for traditional fisheries throughout the Indo‐Pacific region. The Ryukyu Archipelago (southern Japan) is known to be the northern latitudinal limits of giant clam distribution, but there is only limited information in the literature regarding species diversity, status, and distribution in this region. In this study, we report findings from a rapid survey in 2016, the first of its kind for the Ryukyu Islands, to determine species distribution and abundance of giant clams (tridacnines) around Okinawa‐jima Island. Results indicate the presence of four species with an overall density of 5.03 per 100 m², from most to least abundant: Tridacna crocea, Tridacna maxima, Tridacna squamosa, and Tridacna noae. The previously reported species Tridacna gigas and Hippopus hippopus were both absent from the surveys. The densities and distributions of tridacnines varied among species and sites, which are likely attributable to efforts in replenishing and protecting stocks of selected species. The most abundant species, T. crocea, is an important fishery species in Okinawa, and has been widely cultured and restocked to augment depleted populations. In comparison, restocking efforts for less popular species, such as T. squamosa, have been limited, and their current sizes and numbers suggest recruitment constraints. Given the importance of the giant clam fishery in this region and the current declines of various species (except T. crocea), further regulations should focus on the protection of larger and mature clams that function as broodstock necessary to maintain spawning and natural recruitment.

This study considers the optimal consumption‐investment‐insurance problem incorporating housing decisions of a household when interest rates and labor income are stochastic. Under the complete market assumption, we derive the closed‐form solution of the optimal insurance demand, portfolio choice, and housing consumption. We calibrate the model using data from the financial market of Taiwan. We find that the insurer's pricing strategy has a significant impact on the household's consumption pattern. Specifically, additional loading in insurance premium allows the life‐cycle model to produce hump‐shaped consumptions of both perishable goods and housing. Loading also creates an unfair background risk to households. However, we only find a small portfolio risk reduction, because households optimally choose a large coverage to mitigate the mortality exposure. This suggests empirical background risk studies overestimate the risk reduction when insurance is available.

[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]SPEE [ADD1_IRSTEA]Sûreté alimentaire; International audience; Estimating the parameters of geophysical dynamic models is an important task in Data Assimilation (DA) technique used for forecast initialization and reanalysis. In the past, most parameter estimation strategies were derived by state augmentation, yielding algorithms that are easy to implement but may exhibit convergence difficulties. The Expectation-Maximization (EM) algorithm is considered advantageous because it employs two iterative steps to estimate the model state and the model parameter separately. In this work, we propose a novel ensemble formulation of the Maximization step in EM that allows a direct optimal estimation of physical parameters using iterative methods for linear systems. This departs from current EM formulations that are only capable of dealing with additive model error structures. This contribution shows how the EM technique can be used for dynamics identification problem with a model error parameterized as arbitrary complex form. The proposed technique is here used for the identification of stochastic subgrid terms that account for processes unresolved by a geophysical fluid model. This method, along with the augmented state technique, are evaluated to estimate such subgrid terms through high resolution data. Compared to the augmented state technique, our method is shown to yield considerably more accurate parameters. In addition, in terms of prediction capacity, it leads to smaller generalization error as caused by the overfitting of the trained model on presented dataand eventually better forecasts.

Microalgae, a group of photosynthetic microorganisms rich in diverse and novel bioactive metabolites, have been explored for the production of biofuels, high value-added compounds as food and feeds, and pharmaceutical chemicals as agents with therapeutic benefits. This article reviews the development of omics resources and genetic engineering techniques including gene transformation methodologies, mutagenesis, and genome-editing tools in microalgae biorefinery and wastewater treatment (WWT). The introduction of these enlisted techniques has simplified the understanding of complex metabolic pathways undergoing microalgal cells. The multiomics approach of the integrated omics datasets, big data analysis, and machine learning for the discovery of objective traits and genes responsible for metabolic pathways was reviewed. Recent advances and limitations of multiomics analysis and genetic bioengineering technology to facilitate the improvement of microalgae as the dual role of WWT and biorefinery feedstock production are discussed.

This retrospective study was conducted to examine the development and current status of pediatric liver transplantation (LT) in western China. Clinical, demographic, morbidity, and mortality data were collected to analyze. It included 260 consecutive pediatric LTs performed at three centers in western China between January 2000 and May 2019. Kaplan-Meier graft survival rates at 1, 3, 5, and 10 years were 82.1%, 77.2%, 76.6%, and 76.6%, respectively; corresponding patient survival rates were 84.7%, 80.7%, 80.0%, and 80.0%, respectively. More patients underwent living donor liver transplantation (LDLT; n = 188 (73.4%)) than deceased-donor liver transplantation (DDLT; n = 68 (26.6%)). Survival was better after LDLT (91.5%, 86.6%, and 80.6% at 1, 3, and 5 years, respectively) than after DDLT (80.9%, 72.4%, and 63.9%, respectively; P < .05). Biliary atresia was the leading LT indication (n = 141 (55.1%)), followed by metabolic disease (n = 36 (14.1%)), which was associated with the best recipient survival (88.5% at 5 years). The transplant era and graft-to-recipient body weight ratio (GRWR) also significantly predicted overall survival. Survival rates at 5 years were worst in 2000-2005 (54.5%) and best for GRWRs of 0.8%-4% (80.4%). The development of pediatric LT in western China began slowly, but the quantity and quality of pediatric LT has progressed in recent years. This procedure is now a promising and reliable treatment for children with end-stage liver disease in western China.

Anthropogenic changes and fragmentation of natural habitats often exert a negative effect on resource availability and distribution, and the nutritional ecology and feeding behavior of nonhuman primates. The goals of this study are to examine food choice and to identify the nutritional profile of foods consumed by the Critically Endangered black snub-nosed monkey (Rhinopithecus strykeri). To accomplish our study goals, we presented cafeteria-style feeding trials of fresh food items collected in the home range of wild black snub-nosed monkeys to the only two captive R. strykeri, and compared the nutritional profiles of the leafy foods (buds, young, and mature leaves, 100 i23tems from 70 plant species) selected with those avoided (54 items from 48 plant species). Overall, the results indicate that captive R. strykeri selected foods that were higher in moisture (Mo; 77.7%), crude protein (CP; 21.2%), total nonstructural carbohydrates (TNC; 34.9%), and phosphorus (P; 0.37%) while tending to avoid foods with a neutral detergent fiber (NDF) content of greater than 46.8%. Leaves collected in autumn and selected by the monkeys were characterized by a slightly higher amount of metabolizable energy (ME) than those rejected (1,350 kJ/100 g vs. 1,268 kJ/100 g). In contrast, the protein content of foods collected and consumed during the spring was greater (22.9%) than in autumn (16.4%). Random Forests modeling, an ensemble learning method, indicated that the proportion of Mo, NDF, ME, CP, P, and TNC were among the most important factors in predicting which items were consumed by the captive R. strykeri during spring and autumn. On the basis of the nutritional profile of foods consumed across the two seasons, we identified 18 nutrient-rich native plant species that we recommend for use in ex- and in-situ conservation management and reforestation programs to provide long-term access to a nutritionally adequate diet.

This paper presents a novel system that enables a fully automatic modeling of both 3D geometry and functionality of a mechanism assembly from a single RGB image. The resulting 3D mechanism model highly resembles the one in the input image with the geometry, mechanical attributes, connectivity, and functionality of all the mechanical parts prescribed in a physically valid way. This challenging task is realized by combining various deep convolutional neural networks to provide high‐quality and automatic part detection, segmentation, camera pose estimation and mechanical attributes retrieval for each individual part component. On the top of this, we use a local/global optimization algorithm to establish geometric interdependencies among all the parts while retaining their desired spatial arrangement. We use an interaction graph to abstract the inter‐part connection in the resulting mechanism system. If an isolated component is identified in the graph, our system enumerates all the possible solutions to restore the graph connectivity, and outputs the one with the smallest residual error. We have extensively tested our system with a wide range of classic mechanism photos, and experimental results show that the proposed system is able to build high‐quality 3D mechanism models without user guidance.

Glioma causes great harm to people worldwide. Systemic coexpression analysis of this disease could be beneficial for the identification and development of new prognostic and predictive markers in the clinical management of glioma. In this study, we extracted data sets from the Gene Expression Omnibus data set by using "glioma" as the keyword. Then, a coexpression module was constructed with the help of Weighted Gene Coexpression Network Analysis software. Besides, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on the genes in these modules. As a result, the critical modules and target genes were identified. Eight coexpression modules were constructed using the 4,000 genes with a high expression value of the total 141 glioma samples. The result of the analysis of the interaction among these modules showed that there was a high scale independence degree among them. The GO and KEGG enrichment analyses showed that there was a significant difference in the enriched terms and degree among these eight modules, and module 5 was identified as the most important module. Besides, the pathways it was enriched in, hsa04510: Focal adhesion and hsa04610: Complement and coagulation cascades, were determined as the most important pathways. In summary, module 5 and the pathways it was enriched in, hsa04510: Focal adhesion and has 04610: Complement and coagulation cascades, have the potential to serve as biomarkers for patients with glioma.

Background Microvascluar invasion and satellite lesion (MS), important unfavourable pathological factors, significantly contribute to tumour recurrence and impair the prognosis in hepatocellular carcinoma. We aimed to construct a model for the prediction of MS in order to plan treatment better. Methods A total of 1135 consecutive patients with hepatocellular carcinoma who received radical hepatectomy at West China Hospital were randomly assigned to a training set and a validation set. Multivariate analysis was preformed to identify independent risk factors of MS in the training set, and a nomogram was then constructed based on the risk factors. The concordance index (C-index) and a calibration curve were used to assess the predictive performance of the model. Results The occurrence rate of MS was about 36.5%. Based on the multivariate analysis, the following six variables were incorporated into the nomogram: age (hazard ratio (HR): 0.531), alpha fetoprotein (HR: 1.327), neutrophil-to-lymphocyte ratio (>2.8, HR: 1.732), international normalized ratio (>1.07, HR: 1.702), tumour size (HR: 1.116) and tumour number (HR: 1.842). The model showed satisfactory discrimination abilities, with a C-index of 0.721 for the training set and 0.704 for the validation set. The receiver operating characteristic curve confirmed the predictive power. Meanwhile, the calibration curve presented a goodness of fit between prediction of the model and actual observations. Conclusions The user-friendly model may be useful for prediction of the occurrence of MS and to plan treatment more rationally preoperatively.

Nanowires (NWs) have attracted considerable scientific interest in fabricating high performance electronic and optical devices. Especially, highly ordered nanowires could exhibit unique properties such as good intrinsic electrical conductivity and fast electrons transportation. In this work, freestanding films from ultralong manganese dioxide/polyaniline (MNW/PANI) coaxial NWs (~200μm) with highly ordered structure have been fabricated at oil/water interface and then used as flexible electrodes. The ultralong MNW/PANI coaxial NWs with highly ordered orientation provide longer and continuous electron transportation pathway in the electrode compared to disordered NWs, which could greatly reduce the inter-junction resistance between NWs in a film to achieve high capacitance. The electrodes based on ordered NWs show much lower contact resistance (10.8 Ω cm-2) compared with the randomly oriented ones (96.5 Ω cm-2). The thin film supercapacitors (TFSCs) based on well-ordered MNW/PANI NWs possess mechanical flexibility, high specific capacitances 64.54 mF cm-2 (corresponds to 121.77 F g-1 at mass loading density 0.53 mg cm-2), high energy/powder density (44.80 mWh cm-3, 580 mW cm-3) as well as good cycle stability with high capacitance retention (98%) after 2000 cycles.

Double-arm cyclen-based Gd3+ tags are shown to produce accurate nanometer scale Gd3+-Gd3+ distance measurements in double electron-electron resonance (DEER) experiments by confining the space accessible to the metal ion. The results show excellent agreement with predictions both for the maximum and width of the measured distance distributions. For distance measurements in proteins, the tags can be attached to two cysteine residues located in positions i and i+4, or i and i+8, of an α-helix. In the latter case, an additional mutation introducing an aspartic acid at position i+4 achieves particularly narrow distribution widths. The concept is demonstrated with cysteine mutants of T4 lysozyme and maltose binding protein. We report the narrowest Gd3+-Gd3+ distance distributions observed to date for a protein. By limiting the contribution of tag mobility to the distances measured, double-arm Gd3+ tags open new opportunities to study the conformational landscape of proteins in solution with high sensitivity.

The cellular environment of proteins differs considerably from in vitro conditions under which most studies of protein structures are carried out. Therefore, there is a growing interest in determining dynamics and structures of proteins in the cell. A key factor for in-cell distance measurements by the double electron–electron resonance (DEER) method in proteins is the nature of the used spin label. Here we present a newly designed GdIII spin label, a thiol-specific DOTA-derivative (DO3MA-3BrPy), which features chemical stability and kinetic inertness, high efficiency in protein labelling, a short rigid tether, as well as favorable spectroscopic properties, all are particularly suitable for in-cell distance measurements by the DEER method carried out at W-band frequencies. The high performance of DO3MA-3BrPy-GdIII is demonstrated on doubly labelled ubiquitin D39C/E64C, both in vitro and in HeLa cells. High-quality DEER data could be obtained in HeLa cells up to 12 h after protein delivery at in-cell protein concentrations as low as 5–10 μm.