Application of 3D software in design of large capacity and long distance coal pipeline

In view of problem of large work amount and error-prone of pipeline layout using 2D software, advantages and disadvantages of 3D software used in domestic design field were analyzed, and Solidworks software was proposed to apply to design of large capacity and long distance coal pipeline. The application of Solidworks software in schematic design stage, preliminary design stage and construction drawing stage of coal pipeline was introduced in detail

Association between Pregestational Vaginal Dysbiosis and Incident Hypertensive Disorders of Pregnancy Risk: a Nested Case-Control Study

ABSTRACT A balanced vaginal microbiome dominated by Lactobacillus can help promote women’s reproductive health, with Lactobacillus crispatus showing the most beneficial effect. However, the potential role of vaginal microbiomes in hypertensive disorders of pregnancy (HDP) development is not thoroughly explored. In this nested case-control study based on an assisted reproductive technology follow-up cohort, we prospectively assessed the association between pregestational vaginal microbiomes with HDP by collecting vaginal swabs from 75 HDP cases (HDP group) and 150 controls (NP group) and using 16S amplicon sequencing for bacterial identification. The vaginal microbial composition of the HDP group significantly differed from that of the NP group. The abundance of L. crispatus was significantly lower, and the abundances of Gardnerella vaginalis was significantly higher, in the HDP group than in the NP group. Of note, L. crispatus-dominated vaginal community state type was associated with a decreased risk for HDP (odds ratio = 0.436; 95% confidence interval, 0.229 to 0.831) compared with others. Additionally, network analysis revealed different bacterial interactions with 61 and 57 exclusive edges in the NP and HDP groups, respectively. Compared with the HDP group, the NP group showed a higher weighted degree and closeness centrality. Several taxa, including G. vaginalis, L. iners, and bacterial vaginosis-associated bacteria (Prevotella, Megasphaera, Finegoldia, and Porphyromonas), were identified as “drivers” for network rewiring. Notable alterations of predicted pathways involved in amino acid, cofactor, and vitamin metabolism; membrane transport; and bacterial toxins were observed in the HDP group. IMPORTANCE The etiology of HDP remains unclear to date. Effective methods for the individualized prediction and prevention are lacking. Pregestational vaginal dysbiosis precedes the diagnosis of HDP, providing a novel perspective on the etiology of HDP. Early pregnancy is the critical period of placental development, and abnormal placentation initiates HDP development. Thus, disease prevention should be considered before pregnancy. Vaginal microbiome characterization and probiotic interventions before pregnancy are preferred because of their safety and potential for early prevention. This study is the first to prospectively assess associations between pregestational vaginal microbiome and HDP. L. crispatus-dominated vaginal community state type is linked to a reduced risk for HDP. These findings suggest that vaginal microbiome characterization may help identify individuals at high risk for HDP and offer potential targets for the development of novel pregestational intervention methods

Dual Matrix-Based Immobilized Trypsin for Complementary Proteolytic Digestion and Fast Proteomics Analysis with Higher Protein Sequence Coverage

In an age of whole-genome analysis, the mass spectrometry-based bottom-up strategy is now considered to be the most powerful method for in-depth proteomics analysis. As part of this strategy, highly efficient and complete proteolytic digestion of proteins into peptides is crucial for successful proteome profiling with deep coverage. To achieve this goal, prolonged digestion time and the use of multiple proteases have been adopted. The long digestion time required and tedious sample treatment steps severely limit the sample processing throughput. Though utilization of immobilized protease greatly reduces the digestion time, highly efficient proteolysis of extremely complex proteomic samples remains a challenging task. Here, we propose a dual matrix-based complementary digestion method using two types of immobilized trypsin with opposite matrix hydrophobicity prepared by attaching trypsin on hydrophobic or hydrophilic polymer-brush-modified nanoparticles. The polymer brushes on the nanoparticles serve as three-dimensional supports for a large amount of trypsin immobilization and lead to ultrafast and highly efficient protein digestion. More importantly, the two types of immobilized trypsin show high complementarity in protein digestion with only ∼60% overlap in peptide identification for yeast and membrane protein of mouse liver. Complementary digestion by applying these two types of immobilized trypsin together leads to obviously enhanced protein and peptide identification. Furthermore, the dual matrix-based complementary digestion shows particular advantage in the digestion of membrane proteins, as twice the number of identified peptides is obtained compared with solution digestion using free proteases, demonstrating its potential as a promising alternative to promote proteomics analysis with higher protein sequence coverage

Dual Matrix-Based Immobilized Trypsin for Complementary Proteolytic Digestion and Fast Proteomics Analysis with Higher Protein Sequence Coverage

In an age of whole-genome analysis, the mass spectrometry-based bottom-up strategy is now considered to be the most powerful method for in-depth proteomics analysis. As part of this strategy, highly efficient and complete proteolytic digestion of proteins into peptides is crucial for successful proteome profiling with deep coverage. To achieve this goal, prolonged digestion time and the use of multiple proteases have been adopted. The long digestion time required and tedious sample treatment steps severely limit the sample processing throughput. Though utilization of immobilized protease greatly reduces the digestion time, highly efficient proteolysis of extremely complex proteomic samples remains a challenging task. Here, we propose a dual matrix-based complementary digestion method using two types of immobilized trypsin with opposite matrix hydrophobicity prepared by attaching trypsin on hydrophobic or hydrophilic polymer-brush-modified nanoparticles. The polymer brushes on the nanoparticles serve as three-dimensional supports for a large amount of trypsin immobilization and lead to ultrafast and highly efficient protein digestion. More importantly, the two types of immobilized trypsin show high complementarity in protein digestion with only ∼60% overlap in peptide identification for yeast and membrane protein of mouse liver. Complementary digestion by applying these two types of immobilized trypsin together leads to obviously enhanced protein and peptide identification. Furthermore, the dual matrix-based complementary digestion shows particular advantage in the digestion of membrane proteins, as twice the number of identified peptides is obtained compared with solution digestion using free proteases, demonstrating its potential as a promising alternative to promote proteomics analysis with higher protein sequence coverage