Jarvisskaaning1686

Persistent neutrophilic inflammation is a hallmark of cystic fibrosis (CF). However, the mechanisms underlying this outstanding pathology remain incompletely understood. Here, we report that CFTR in myeloid immune cells plays a pivotal role in control of neutrophilic inflammation. Myeloid CFTR-Knockout (Mye-Cftr-/-) mice and congenic wild-type (WT) mice were challenged peritoneally with zymosan particles at different doses, creating aseptic peritonitis with varied severity. A high-dose challenge resulted in significantly higher mortality in Mye-Cftr-/- mice, indicating an intrinsic defect in host control of inflammation in mice whose myeloid cells lack CF. The low-dose challenge demonstrated an impaired resolution of inflammation in Mye-Cftr-/- mice, reflected by a significant overproduction of proinflammatory cytokines, including neutrophil chemokines MIP-2 and KC, and sustained accumulation of neutrophils. Tracing neutrophil mobilization in vivo demonstrated that myeloid CF mice recruited significantly more neutrophils than did WT mice. Pulmonary challenge with zymosan elicited exuberant inflammation in the lung and recapitulated the findings from peritoneal challenge. To determine the major type of cell that was primarily responsible for the over-recruitment of neutrophils, we purified and cultured ex vivo zymosan-elicited peritoneal neutrophils and macrophages. The CF neutrophils produced significantly more MIP-2 than did the WT counterparts, and peripheral blood neutrophils isolated from myeloid CF mice also produced significantly more MIP-2 after zymosan stimulation in vitro. These data altogether suggest that CFTR dysfunction in myeloid immune cells, especially neutrophils, leads to hyperinflammation and excessive neutrophil mobilization in the absence of infection. Thus, dysregulated inflammation secondary to abnormal or absent CFTR in myeloid cells may underlie the clinically observed neutrophilic inflammation in CF.Non-adiabaticity, i.e., the effect of mixing electronic states by nuclear motion, is a central phenomenon in molecular science. The strongest nonadiabatic effects arise due to the presence of conical intersections of electronic energy surfaces. These intersections are abundant in polyatomic molecules. Laser light can induce in a controlled manner new conical intersections, called light-induced conical intersections, which lead to strong nonadiabatic effects similar to those of the natural conical intersections. These effects are, however, controllable and may even compete with those of the natural intersections. In this work we show that the standard low-energy vibrational spectrum of the electronic ground state can change dramatically by inducing non-adiabaticity via a light-induced conical intersection. This generic effect is demonstrated for an explicit example by full-dimensional high-level quantum calculations using a pump-probe scheme with a moderate-intensity pump laser and a weak probe laser.Competing noncovalent interactions play a pivotal role in the folding and assembly of three-dimensional structures, especially in flexible molecules. Calculations using density functional theory reveal that two squaramide rings aggregate to form a slipped antiparallel π-stacked dimer with high propensity. This π-π stacking interaction is used to design foldamers in which the squaramides are tethered by a simple methylene bridge, and consequently, the structure folds on to itself incorporating a "turn" element. The variation in relative energy with respect to change in dihedral angle for these foldamers show that for all the structures two rings are displaced in space and the folding potential is asymmetric, starting from seemingly symmetric molecules. The addition of successive squaramide rings connected with simple methylene bridges leads to the formation of higher-order structures with a "Turn-Stack-Turn" structural motif. The "Turn-Stack-Turn" motif can be used in designing new synthetic foldamers which could potentially mimic closely related biological systems. Further, it was found that the aggregation of the folded structures was energetically favored over the unfolded structures. The present set of calculations are important in light of the fact that these simple methylene bridged squaramide rings present synthetic challenges.Chlorinated paraffins (CPs) are organic pollutants that have caused widespread concerns in recent years. Because of their lipophilic characteristics, CPs may enter into the body through diet or other routes and exert adverse effects on human health. In this study, we investigated the occurrence and congener profiles of short-chain chlorinated paraffins (SCCPs) and medium-chain chlorinated paraffins (MCCPs) in 176 cooking oils and 19 oil containers collected from various markets in China. The concentrations of SCCPs and MCCPs in cooking oils were in the range of not detected (ND) to 16,055 ng/g and ND to 11,612 ng/g, respectively, and the geomean concentrations of MCCPs were lower than those of SCCPs. The concentrations of CPs in sesame oil, rapeseed oil, and camellia oil were higher than those in other types of oils, and different oil processing methods had different effects on the presence of CPs in the oils. find more CPs were detected in 5 out of 20 oil containers, although their concentrations were much lower than those detected in the oil samples, indicating that containers are not the main sources of CPs detected in the oils. The mean SCCP and MCCP intakes through cooking oils of the general Chinese population were 8.83 and 6.09 μg/kg/d, respectively.The H + CH3OH reaction, which plays an important role in combustion and the interstellar medium, presents a prototypical system with multi channels and tight transition states. However, no globally reliable potential energy surface (PES) has been available to date. Here we develop global analytical PESs for this system using the permutation invariant polynomial-neural network (PIP-NN) and the high-dimensional neural network (HD-NN) methods based on a large number of data points calculated at the level of the explicitly correlated unrestricted coupled cluster single, double, and perturbative triple level with the augmented correlation corrected valence triple-zeta basis set (UCCSD(T)-F12a/AVTZ). We demonstrate that both machine learning PESs are able to accurately describe all dynamically relevant reaction channels. At a collision energy of 20 kcal/mol, quasi-classical trajectory calculations reveal that the dominant channel is the hydrogen abstraction from the methyl site, yielding H2 + CH2OH. The reaction of this major channel takes place mainly via the direct rebound mechanism. Both the vibrational and rotational states of the H2 product are relatively cold, and large portions of the available energy are converted into the product translational motion.In this study, HPLC-PDA-HRMS-SPE-NMR data were used for initial analysis of the CH2Cl2 fraction of an EtOH extract of the leaves of Picramnia glazioviana. The HRMS, UV, and NMR data obtained from the HPLC-PDA-HRMS-SPE-NMR analysis were used to direct semipreparative HPLC isolation toward nortriterpenoids, which resulted in the isolation of 18 new and highly oxygenated nortriterpenoids (1-3, 5-10, 12-19, and 21), named picravianes C-T. Their structures were determined on the basis of analysis of UV, HRMS, and 2D NMR spectroscopic data, including determination of the relative configuration on the basis of coupling pattern analysis and nuclear Overhauser effect correlations. The absolute configurations of compounds 7, 9, 10, 14, 15, 17, 18, 19, and 21 were assigned using electronic circular dichroism data, and the cytotoxicity of compounds 6, 10, 14, 16, 17, 18, 19, and 21 was evaluated against MDA-MB-231 triple-negative breast cancer, SKBR-3 Her2-overexpressing breast cancer, and A549 lung cancer cells lines. The isolated compounds contain a hitherto undescribed modification of the terminal backbone and/or E-ring, and a possible biosynthetic pathway for their formation is proposed.Recently, we have developed a multilayer energy-based fragment (MLEBF) method to describe excited states of large systems in which photochemically active and inert regions are separately treated with multiconfigurational and single-reference electronic structure method and their mutual polarization effects are naturally described within the many-body expansion framework. This MLEBF method has been demonstrated to provide highly accurate energies and gradients. In this work, we have further derived the MLEBF method with which highly accurate excited-state Hessian matrices of large systems are efficiently constructed. Moreover, in combination with recently proposed embedded atom neural network (EANN) model we have developed a machine learning (ML) accelerated MLEBF method (i.e., ML-MLEBF) in which photochemically inert region is entirely replaced with trained ML models. ML-MLEBF is found to improve computational efficiency of Hessian matrices in particular for large systems. Furthermore, both MLEBF and ML-MLEBF methods are highly parallel and exhibit low-scaling computational cost with multiple CPUs. The present developments could motivate combining various ML techniques with fragment-based electronic structure methods to explore Hessian-matrix-based excited-state properties of large systems.Salicylic acid (SA) and reactive oxygen species (ROS) are two well-defined inducers of leaf senescence. Here, we identified a novel WRKY transcription factor gene WSR1 (WRKY regulating SA and ROS 1) in Brassica napus (rapeseed) in promoting SA and ROS production, which eventually led to leaf senescence thereafter. Its expression increased in senescing leaves. Ca2+-dependent protein kinase (CPK) 5 and -6 interacted with and phosphorylated BnaWSR1. Overexpression of phosphomimic BnaWSR1 (BnaWSR1ca) in rapeseed protoplasts elicited ROS production and cell death while its ectopic expression in Arabidopsis enhanced SA and ROS levels and, hence, accelerated leaf senescence. Furthermore, BnaWSR1ca activated the expression of Isochorismate Synthase 1 (ICS1), Respiratory Burst Oxidase Homologue (Rboh) D, and Senescence-Associated Gene 14 (SAG14). Electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation-quantitative PCR (ChIP-qPCR) assays demonstrated that BnaWSR1ca directly bound to promoter regions of ICS1, RbohD, and SAG14. These data have identified a CPK-WSR1 module that integrates SA and ROS to control cell death and leaf senescence.Aldosterone synthase (CYP11B2) inhibitors have been explored in recent years as an alternative therapeutic option to mineralocorticoid receptor (MR) antagonists to reduce elevated aldosterone levels, which are associated with deleterious effects on various organ systems including the heart, vasculature, kidney, and central nervous system (CNS). A benzamide pyridine hit derived from a focused screen was successfully developed into a series of potent and selective 3-pyridyl isoindolin-1-ones CYP11B2 inhibitors. Our systematic structure-activity relationship study enabled us to identify unique structural features that result in high selectivity against the closely homologous cortisol synthase (CYP11B1). We evaluated advanced lead molecules, exemplified by compound 52, in an in vivo cynomolgus monkey acute adrenocorticotropic hormone (ACTH) challenge model and demonstrated a superior 100-fold in vivo selectivity against CYP11B1.