Explore the vast range of titles available.

Inflammatory storm is an important pathological mechanism of multiple organ dysfunction, and it is associated with most deaths in septic patients, deserving to be studied. Recent findings have confirmed that the Medullary Visceral Zone (MVZ) regulates inflammation and immunity through the cholinergic anti-inflammatory pathway (CAP), but how sepsis affects the MVZ and leads to uncontrolled inflammation remain unclear. The current study reported that sepsis induced MVZ to inhibit CAP which underlies the inflammation storm. Our studies have shown that the rat models of sepsis prepared by cecal ligation and puncture had a higher inflammatory level, higher mortality, and higher Murine Sepsis Score. In septic rats, some indicators of heart rate variability (HRV) such as SDNN, HF band, RMSSD, SD1, and SD2 significantly reduced. In MVZ of septic rats, many cholinergic and catecholaminergic neurons showed apoptotic, with low expressions of tyrosine hydroxylase and choline acetyltransferase. The α7nAChR agonist GTS-21 can improve these pathologies, while the α7nAChR antagonist MLA is the opposite. Our study demonstrates for the first time that cholinergic and catecholaminergic neurons in MVZ went through significant apoptosis and inactiveness in sepsis, which contributes to the inhibition of CAP and acceleration of the inflammation storm in early sepsis. Intervening with CAP has a significant effect on the activity and apoptosis of MVZ neurons while altering systemic inflammation and immunity; in addition, for the first time, we confirmed that some indicators of HRV such as SDNN, HF band, RMSSD, SD1, and SD2 can reflect the activity of CAP, but the CAP interference had little effect on these indicators.

Tibetan Mastiff is one of the most archaic, ferocious and the largest dogs in the world. A total of 140 individuals from four geographically separated populations in China (Tibet, Gansu, Qinghai and Beijing) were sampled and genetic diversity was assessed using 10 microsatellite loci on eight different chromosomes. The mean number of alleles per locus ranged from 6 to 13. The mean observed and expected heterozygosities, polymorphism information content and allelic richness were 0.69, 0.79, 0.76 and 7.59, respectively, indicating relatively high genetic diversity in Tibetan Mastiff. However, a highly significant deficiency in heterozygote was observed within populations (mean FIS = 0.11, bootstrap 95% confidence interval (0.06, 0.17)) and total inbreeding (mean FIT = 0.12, bootstrap 95% confidence interval (0.06, 0.18)), along with strong inbreeding coefficients within populations (Fis > 0.09), all of which suggested that intense inbreeding practices occurred in Tibetan Mastiff. Therefore, effective and appropriate breeding management projects in present Tibetan Mastiff will be desirable and urgent. Low genetic differentiation was obtained with a mean FST of 0.01 (bootstrap 95% confidence interval (0.007, 0.019)). Additionally, the four Tibetan Mastiff populations showed close relationships in the neighbor-joining polygenetic tree based on the coancestral genetic distances. Tibetan Mastiff was investigated by using microsatellite loci at the first time, which could facilitate the better understanding of present situation at the molecular level, breed conservation and utilization in Tibetan Mastiff.

We report a systematic study of the etching of MoSs crystals by using XeF2 as a gaseous reactant. By controlling the etching process, monolayer MoS2 with uniform morphology can be obtained. The Raman and photoluminescence spectra of the resulting material were similar to those of exfoliated MoS2. Utilizing this strategy, different patterns such as a Hall bar structure and a hexagonal array can be realized. Furthermore, the etching mechanism was studied by introducing graphene as an etching mask. We believe our technique opens an easy and controllable way of etching MoS2, which can be used to fabricate complex nanostructures, such as nanoribbons, quantum dots, and transistor structures. This etching process using XeF2 can also be extended to other interesting two-dimensional crystals.

The globally distributed cystic echinococcosis (CE) is caused by the larval stage of Echinococcus granulosus ( E. granulosus ), a cosmopolitan and zoonotic disease with potentially life-threatening complications in humans. The emerging roles for extracellular vesicles (EVs) in parasitic infection include transferring proteins and modifying host cell gene expression to modulate host immune responses. Few studies focused on the host-derived EVs and its protein profiles. We focused on the EVs from mouse infected with E. granulosus at different stages. ExoQuick kit was used for isolating EVs from mouse plasma and ExoEasy Maxi kit was used for isolating protoscolex culture supernatant (PCS) and hydatid cyst fluid (HCF). Firstly, EVs were characterized by transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA) and immunoblot. Secondly, the proteins of plasma EVs were identified using liquid chromatography-tandem mass spectrometry (LC–MS/MS). The resulting LC–MS/MS data were processed using Maxquant search engine (v 1.5.2.8). Tandem mass spectra were researched against the mice and E. granulosus proteins database in the NCBI. The differentially expressed proteins are performed by proteomic label-free quantitative analysis and bioinformatics. Thirdly, in vitro experiment, the results of co-culture of plasma EVs and spleen mononuclear cells showed that 7W-EVs can increase the relative abundance of regulatory T (Treg) cells and IL-10. We further verified that EVs can be internalized by CD4 + and CD8 + T cells, B cells, and myeloid-derived suppressor cells (MDSC). These results implied host-derived EVs are multidirectional immune modulators. The findings can contribute to a better understanding of the role of host-derived EVs which are the optimal vehicle to transfer important cargo into host immune system. In addition, we have found several important proteins associated with E. granulosus and identified in infected mouse plasma at different stages. Furthermore, our study further highlighted the proteomics and immunological function of EVs from mouse infected with E. granulosus protoscoleces at different infection stages. We have laid a solid foundation for the role of EVs in cystic echinococcosis in the future research and supplemented a unique dataset for this E. granulosus.

Gastric cancer (GC) was referred to a malignant tumor of the digestive tract originating from the epithelium of gastric mucosa. Transcription factor DLX5 was verified as an oncogene in various types of tumors, while miR-376a-3p was speculated as a tumor suppressor. Based on the bioinformatics database, we hypothesized that miR-376a participated in the regulation of GC development by targeting DLX5. Compared with adjacent tissue, a significant increase of DLX5 expression was determined in GC tissues, but the expression level is significantly reduced in miR-376a. Similar expression signature of DLX5 and miR-376a was also determined between 4 GC cells (HGC, SGC, MGC, and AGS cell lines) and GES cell line. The level of DLX5 was notably reduced in HGC and MGC cell lines after miR-376a-3p overexpression, and increased after miR-376a-3p inhibition. Then, the inhibition role of miR-376a-3p on DLX5 was further proved by dual-luciferase reporter assay. Gain-of-function experiments showed that upregulation of miR-376a-3p in GC cells could inhibit the ability of epithelial-mesenchymal transition, proliferation, and invasion, and enhance the GC cell apoptosis level. However, these roles of miR-376a-3p could be abolished by DLX5 overexpression. This study confirmed that reduction of miR-376a-3p expression level in GC cells would lead to the increase in cell growth and invasion, indicating that upregulation of miR-376a-3p might have a potential therapeutic role on GC.

In the paper, we investigate the relationship between the walnut fruit quality and the leaf-to-fruit ratio (LFR). The LFR had a significant effect on the physical quality of walnuts (P < 0.05), and the fruit volume, fruit fresh weight, fruit dry weight, nut dry weight and kernel dry weight increased with an increasing LFR. However, the LFR had no significant effect on the crude protein and crude fat kernel contents (P > 0.05). The number of cells per unit area and the cross-sectional area of the green husk cells with 5L:1F were significantly higher than those with 1L:3F and 2L:3F (P < 0.05). The number of cells per unit area of the kernel with 1L:3F and 2L:3F was significantly higher than that with the other LFRs (P < 0.05). There was no significant difference in the NDW between the natural and girdled fruit-bearing shoots with 2L:1F (P > 0.05). We concluded that the high carbohydrate availability with the high LFR augmented the fruit size by increasing the number of cells in the green husk and kernels. There was no change in the crude protein and crude fat contents in the kernels, possibly due to the proportion of the sugar to the fat distribution not affected by the LFR. Two leaves with good light were necessary to ensure the normal growth and development of one walnut fruit on girdled fruit-bearing shoots.

In this study, we use classical and geostatistical methods to identify characteristics of some selected soil properties including soil particle size distribution, soil organic carbon, total nitrogen, pH and electrical conductivity and their spatial variation in a 5-year recovery degraded sandy grassland after two different grazing intensity disturbance: post-heavy-grazing restoration grassland (HGR) and post-moderately grazing restoration grassland (MGR), respectively, in Horqin steppe, Inner Mongolia, northern China. The objective was to examine effect of grazing intensity on spatial heterogeneity of soil properties. One hundred soil samples were taken from the soil layer 0-15 cm in depth of a grid of 10 m × 10 m under each treatment. The results showed that soil fine fractions (very fine sand, 0.1-0.05 mm and silt + clay, < 0.05 mm), soil organic carbon and total nitrogen concentrations were significant lower and their coefficients of variation significant higher under the HGR than under the MGR. Geostatistical analysis of soil heterogeneity revealed that soil particle size fractions, organic carbon and total nitrogen showed different degree of spatial dependence with exponential or spherical semivariograms on the scale measured under HGR and MGR. The spatial structured variance account for a large proportion of the sample variance in HGR plot ranging from 88% to 97% for soil particle fractions, organic C and total N, however, except for organic C (88.8%), the structured variance only account for 50% of the sample variance for soil particle fractions and total N in the MGR plot. The ranges of spatial autocor-relation for coarse-fine sand, very fine sand, silt + clay, organic C and total N were 13.7 m, 15.8 m, 15.2 m, 22.2 m and 21.9 m in HGR plot, respectively, and was smaller than in MGR plot with the corresponding distance of 350 m, 144.6 m, 45.7 m, 27.3 m and 30.3 m, respectively. This suggested that overgrazing resulted in an increase in soil heterogeneity. Soil organic C and total N were associated closely with soil particle fractions, and the kriging-interpolated maps showed that the spatial distribution of soil organic C and total N corresponded to the distribution patterns of soil particle fractions, indicating that high degree of spatial heterogeneity in soil properties was linked to the distribution of vegetative and bare sand patches. The results suggested that the degree of soil heterogeneity at field scale can be used as an index for indicating the extent of grassland desertification. Also, the changes in soil heterogeneity may in turn influence vegetative succession and restoration process of degraded sandy grassland ecosystem.

The computational efficiency of the basic minimum travel time tree (MTTT) algorithm for seismic ray tracing is improved by means of dynamically adjusting the pre-defined propagation area of secondary waves according to the spread of seismic waves. The improvement on the MTTT algorithm is achieved explicitly by limiting the calculation of seismic rays and travel times to a small pre-defined propagation area of secondary waves and to the secondary waves from the points around the straight elongation of the incoming ray. Numerical examples verify that a good approximation of travel times and ray paths can be obtained with the improved algorithm using a small pre-defined propagation area of secondary waves even for complex models. Furthermore, the denser a grid coverage a model has, the greater the improvement in computational efficiency the new algorithm makes. The computational efficiency is more obvious for a 3D model than for a 2D one.