Additional file 1 of Correlations between genetically predicted lipid-lowering drug targets and inflammatory bowel disease

Additional file 1: Table S1. Phenotype descriptions and distributions. Table S2A. Characteristics of lipid-lowering genetics variants in target genes from UK Biobank database. Table S2B. Characteristics of lipid-lowering genetics variants in target genes from Willer et al. Table S3. Statistical power estimates for drug-target MR analyses. Table S4. Heterogeneity and pleiotropy tests of instrument effects (drug targets from UK Biobank database). Table S5. External validation of the causal relationship between lipid-lowering drug genetic variants and IBD IVW-MR analysis in different datasets combinations. Table S6. Heterogeneity and pleiotropy tests of instrument effects for external validation. Table S7. Association of genetically proxied inflammmatory bowel diseases with risk of lipids traits. Table S8. Causal effects and heterogeneity and pleiotropy tests of genetically predicted gut microbiota on inflammatory bowel diseases. Table S9. The relationship between genetic mimicry of lipid-lowering drugs that can affect Inflammatory bowel disease and the microbiota that can affect Inflammatory bowel disease

Data_Sheet_1_A new pathogenic isolate of Kocuria kristinae identified for the first time in the marine fish Larimichthys crocea.pdf

In recent years, new emerging pathogenic microorganisms have frequently appeared in animals, including marine fish, possibly due to climate change, anthropogenic activities, and even cross-species transmission of pathogenic microorganisms among animals or between animals and humans, which poses a serious issue for preventive medicine. In this study, a bacterium was clearly characterized among 64 isolates from the gills of diseased large yellow croaker Larimichthys crocea that were raised in marine aquaculture. This strain was identified as K. kristinae by biochemical tests with a VITEK 2.0 analysis system and 16S rRNA sequencing and named K. kristinae_LC. The potential genes that might encode virulence-factors were widely screened through sequence analysis of the whole genome of K. kristinae_LC. Many genes involved in the two-component system and drug-resistance were also annotated. In addition, 104 unique genes in K. kristinae_LC were identified by pan genome analysis with the genomes of this strain from five different origins (woodpecker, medical resource, environment, and marine sponge reef) and the analysis results demonstrated that their predicted functions might be associated with adaptation to living conditions such as higher salinity, complex marine biomes, and low temperature. A significant difference in genomic organization was found among the K. kristinae strains that might be related to their hosts living in different environments. The animal regression test for this new bacterial isolate was carried out using L. crocea, and the results showed that this bacterium could cause the death of L. crocea and that the fish mortality was dose-dependent within 5 days post infection, indicating the pathogenicity of K. kristinae_LC to marine fish. Since K. kristinae has been reported as a pathogen for humans and bovines, in our study, we revealed a new isolate of K. kristinae_LC from marine fish for the first time, suggesting the potentiality of cross-species transmission among animals or from marine animals to humans, from which we would gain insight to help in future public prevention strategies for new emerging pathogens.</p

Perforated Block Copolymer Vesicles with a Highly Folded Membrane

Perforated Block Copolymer Vesicles with a Highly Folded Membran

Perforated Block Copolymer Vesicles with a Highly Folded Membrane

Perforated Block Copolymer Vesicles with a Highly Folded Membran

Additional file 1 of Comparison of complications and bowel function among different reconstruction techniques after low anterior resection for rectal cancer: a systematic review and network meta-analysis

Additional file 1: Supplementary Table 1. Checklist of the PRISMA extension for network meta-analysis. Supplementary Table 2. Number of citations by each database searched. Supplementary Table 3. Characteristics of the 29 studies included in the network Meta-analysis. Supplementary Fig. 1. Risk-of-bias summary of the randomized controlled trials. Supplementary Table 4. Quality assessment of included randomized controlled trials. Supplementary Table 5. Results of global heterogeneity and local heterogeneity. Supplementary Table 6. Node-splitting analysis of inconsistency. Supplementary Table 7. Comparisons of the fitness of consistency and inconsistency models using deviance information criteria. Supplementary Fig. 2. Results of pairwise meta-analysis for postoperative complications. Supplementary Fig. 3. Results of pairwise meta-analysis for defecation frequency. Supplementary Fig. 4. Results of pairwise meta-analysis for bowel function. Supplementary Table 8A. Relative effects table for postoperative anastomotic leakage. Supplementary Table 8B. Rank probabilities for postoperative anastomotic leakage. Supplementary Fig. 5B. Comparison-adjusted funnel plot for postoperative anastomotic leakage. Supplementary Fig. 6A. Network plot for postoperative anastomotic stricture. Supplementary Table 9A. Relative effects table for postoperative anastomotic stricture. Supplementary Table 9B. Rank probabilities for postoperative anastomotic stricture. Supplementary Fig. 6B. Comparison-adjusted funnel plot for postoperative anastomotic stricture. Supplementary Fig. 7A. Network plot postoperative reoperation. Supplementary Table 10A. Relative effects table for postoperative reoperation. Supplementary Table 10B. Rank probabilities for postoperative reoperation. Supplementary Fig. 7B. Comparison-adjusted funnel plot for postoperative reoperation. Supplementary Fig. 8A. Network plot for postoperative mortality within 30 days. Supplementary Table 11A. Relative effects table for postoperative mortality within 30 days. Supplementary Table 11B. Rank probabilities for postoperative mortality within 30 days. Supplementary Fig. 8B. Comparison-adjusted funnel plot for postoperative mortality within 30 days. Supplementary Fig. 9A. Network plot for defecation frequency at 3 months postoperatively. Supplementary Table 12B. Rank probabilities for defecation frequency at 3 months postoperatively. Supplementary Fig. 9B. Comparison-adjusted funnel plot for defecation frequency at 3 months postoperatively. Supplementary Fig. 10A. Network plot for fecal urgency at 3 months postoperatively. Supplementary Table 13A. Relative effects table for fecal urgency at 3 months postoperatively. Supplementary Table 13B. Rank probabilities for fecal urgency at 3 months postoperatively. Supplementary Fig. 10B. Comparison-adjusted funnel plot for fecal urgency at 3 months postoperatively. Supplementary Fig. 11A. Network plot for use of antidiarrheal medication at 3 months postoperatively. Supplementary Table 14A. Relative effects table for use of antidiarrheal medication at 3 months postoperatively. Supplementary Table 14B. Rank probabilities for use of antidiarrheal medication at 3 months postoperatively. Supplementary Fig. 11B. Comparison-adjusted funnel plot for use of antidiarrheal medication at 3 months postoperatively. Supplementary Fig. 12A. Network plot for defecation frequency at 6 months postoperatively. Supplementary Table 15B. Rank probabilities for defecation frequency at 6 months postoperatively. Supplementary Fig .12B. Comparison-adjusted funnel plot for defecation frequency at 6 months postoperatively. Supplementary Fig. 13A. Network plot for fecal urgency at 6 months postoperatively. Supplementary Table 16A. Relative effects table for fecal urgency at 6 months postoperatively. Supplementary Table 16B. Rank probabilities for fecal urgency at 6 months postoperatively. Supplementary Fig. 13B. Comparison-adjusted funnel plot for fecal urgency at 6 months postoperatively. Supplementary Fig. 14A. Network plot for incomplete defecation at 6 months postoperatively. Supplementary Table 17A. Relative effects table for incomplete defecation at 6 months postoperatively. Supplementary Table 17B. Rank probabilities for incomplete defecation at 6 months postoperatively. Supplementary Fig. 14B. Comparison-adjusted funnel plot for incomplete defecation at 6 months postoperatively. Supplementary Fig. 15A. Network plot for use of antidiarrheal medication at 6 months postoperatively. Supplementary Table 18A. Relative effects table for use of antidiarrheal medication at 6 months postoperatively. Supplementary Table 18B. Rank probabilities for use of antidiarrheal medication at 6 months postoperatively. Supplementary Fig. 15B. Comparison-adjusted funnel plot for use of antidiarrheal medication at 6 months postoperatively. Supplementary Fig. 16A. Network plot for defecation frequency at 12 months postoperatively. Supplementary Table 19B. Rank probabilities for defecation frequency at 12 months postoperatively. Supplementary Fig. 16B. Comparison-adjusted funnel plot for defecation frequency at 12 months postoperatively. Supplementary Fig. 17A. Network plot for fecal urgency at 12 months postoperatively. Supplementary Table 20A. Relative effects table for fecal urgency at 12 months postoperatively. Supplementary Table 20B. Rank probabilities for fecal urgency at 12 months postoperatively. Supplementary Fig. 17B. Comparison-adjusted funnel plot for fecal urgency at 12 months postoperatively. Supplementary Fig. 18A. Network plot for incomplete defecation at 12 months postoperatively. Supplementary Table 21A. Relative effects table for incomplete defecation at 12 months postoperatively. Supplementary Table 21B. Rank probabilities for incomplete defecation at 12 months postoperatively. Supplementary Fig. 18B. Comparison-adjusted funnel plot for incomplete defecation at 12 months postoperatively. Supplementary Fig. 19A. Network plot for use of antidiarrheal medication at 12 months postoperatively. Supplementary Table 22A. Relative effects table for use of antidiarrheal medication at 12 months postoperatively. Supplementary Table 22B. Rank probabilities for use of antidiarrheal medication at 12 months postoperatively. Supplementary Fig. 19B. Comparison-adjusted funnel plot for use of antidiarrheal medication at 12 months postoperatively. Supplementary Fig. 20A. Network plot for defecation frequency at 24 months postoperatively. Supplementary Table 23B. Rank probabilities for defecation frequency at 24 months postoperatively. Supplementary Fig. 20B. Comparison-adjusted funnel plot for defecation frequency at 24 months postoperatively. Supplementary Fig. 21A. Network plot for use of antidiarrheal medication at 24 months postoperatively. Supplementary Table 24A. Relative effects table for use of antidiarrheal medication at 24 months postoperatively. Supplementary Table 24B. Rank probabilities for use of antidiarrheal medication at 24 months postoperatively. Supplementary Fig. 21B. Comparison-adjusted funnel plot for use of antidiarrheal medication at 24 months postoperatively. Supplementary Table 25A. Relative effects table for postoperative anastomotic leakage in the sensitivity analysis. Supplementary Table 25B. Rank probabilities for postoperative anastomotic leakage in the sensitivity analysis

Perforated Block Copolymer Vesicles with a Highly Folded Membrane

Perforated Block Copolymer Vesicles with a Highly Folded Membran

Syntheses and Structural Characterization of a Series of One-Dimensional Fluorotitanophosphates (NH₄)<i>_x</i>K₄_-<i>_x</i>[Ti₂PO₄F₉] (<i>x</i> = 0, 0.70, 1.00, 1.25)

A series of novel fluorotitanophosphates with a general formula (NH4)xK4 - x[Ti2PO4F9] (x = 0, 0.70, 1.00, 1.25, named as 1, 2, 3, and 4 respectively) have been synthesized under hydrothermal conditions. Their structures were determined by X-ray single-crystal diffraction technique, which show that all of the phases in this series contain an idental anionic fluorotitanophosphate chain, consisting of alternating linkage of PO4 tetrahedra and TiO2F4 octahedra. The fluorotitanophosphate chain is unique, which is different from the first titanophosphate chain found in [Ti3P6O27]·5[NH3CH2−CH2NH3]·2H3O. Another interesting observation of this series is that, by partial substitution of potassium by ammonium, the structure converts to a more-symmetric version, while maintaining all of the topological feature

Syntheses and Structural Characterization of a Series of One-Dimensional Fluorotitanophosphates (NH₄)<i>_x</i>K₄_-<i>_x</i>[Ti₂PO₄F₉] (<i>x</i> = 0, 0.70, 1.00, 1.25)

A series of novel fluorotitanophosphates with a general formula (NH4)xK4 - x[Ti2PO4F9] (x = 0, 0.70, 1.00, 1.25, named as 1, 2, 3, and 4 respectively) have been synthesized under hydrothermal conditions. Their structures were determined by X-ray single-crystal diffraction technique, which show that all of the phases in this series contain an idental anionic fluorotitanophosphate chain, consisting of alternating linkage of PO4 tetrahedra and TiO2F4 octahedra. The fluorotitanophosphate chain is unique, which is different from the first titanophosphate chain found in [Ti3P6O27]·5[NH3CH2−CH2NH3]·2H3O. Another interesting observation of this series is that, by partial substitution of potassium by ammonium, the structure converts to a more-symmetric version, while maintaining all of the topological feature

Numerical investigation of multiscale lateral microstructures enhancing passive micromixing efficiency via secondary vortex flow

Passive micromixing can efficiently mix laminar flows through molecular and convective diffusion. Microstructures are expected to be efficient, easily integrated into micromixers, and suitable for micromixers over a wide range of Re. This paper presents the enhancement effects of the multiscale lateral microstructures on the flow field characteristics and mixing efficiency through numerical simulations at Re = 0.01–50. Inspired by the regulation of lateral microstructures on the local flow field, cross-scale staggered baffles (CSBs) were established and applied in typical passive micromixers. For low-Re conditions, the paired trapezoidal microstructures (PTMs) of the CSBs improved the mixing effect by increasing the local streamline tortuosity. For high-Re conditions, the PTMs of CSBs increased the number of expanding vortices in the microchannel, which could increase the size of the fluid interfaces, and an optimal mixing index with relatively little pressure drop was achieved. Moreover, the CSBs were applied to the serpentine curved channel, which caused large expanding vortices on the inner side of the curved channel, and then the state of the Dean vortices on the cross section of the curved channel changed. Therefore, compared with the conventional micromixer channel structure, lateral microstructures regulate the local flow field through the enhancement of the streamlines and the secondary flow effects, and lateral microstructures have great potential to improve the mixing efficiency over a wide range of Re.</p

Four Isomorphous Phosphates AM₃P₄O₁₄ (A = Sr, Ba; M = Co, Mn) with Antiferromagnetic−Antiferromagnetic−Ferromagnetic Trimerized Chains, Showing 1/3 Quantum Magnetization Plateaus Only in the Manganese(II) System

The four new phosphates BaCo3P4O14 (1), SrCo3P4O14 (2), BaMn3P4O14 (3), and SrMn3P4O14 (4) were hydrothermally synthesized and characterized structurally and magnetically. They are isostructural with ANi3P4O14 (A = Ca, Sr, Pb, Ba), crystallizing in the monoclinic space group P21/c. The CoO6 (or MnO6) octahedra share edges to from zigzag chains along the b axis, which are further interconnected by P2O7 groups into a three-dimensional structure. Preliminary magnetic measurements on powder samples indicate that 1, 2, and 4 are spin-canted antiferromagnets and 3 is a pure antiferromagnet at low field; long-range orderings were established respectively at Tcritical ≈ 8.2 K for 1, 6.5 K for 2, and 2.6 K for both 3 and 4; field-induced spin-flop-like transitions occur respectively at Hc ≈ 25 kOe for 1, 4 kOe for 2, 3 kOe for 3, and 0.7 kOe for 4. Interestingly, together with the known Ni analogues, they all apply the same antiferromagnetic−antiferromagnetic−ferromagnetic (AAF) trimerized chain model, whereas the 1/3 quantum magnetization plateau only appears in the Mn system. By qualitative analysis, we conclude that the appearance of quantum magnetization plateaus in the AAF chain compounds requires both good 1D characteristics and strong AF intrachain interactions