Experience of Venoarterial Extracorporeal Life Support-Assisted Brain Death Donation With Severe Hemodynamic Instability.

Objective: To explore the experience of extracorporeal life support (ECLS)-assisted maintenance of brain death donors with extremely unstable hemodynamics.

Methods: We retrospectively analyzed the clinical data of 12 brain-dead donors who received ECLS in our hospital from May 2015 to May 2022 due to extremely unstable hemodynamics. The organ acquisition status was analyzed.

BaTiWO: An Oxygen- and B-Site-Deficient 9R Hexagonal Perovskite Exhibiting Triple Conduction.

The hexagonal perovskite derivatives BaM'M″O featuring a hybrid structure composed of 9R hexagonal perovskite and palmierite structure motifs exhibit significant oxide ionic conductivity due to the highly disordered oxide-ion and M-cation sublattices. Herein, we report the structure and electrical properties of the perovskite BaTiWO. Three-dimensional (3D) electron diffraction (ED), neutron powder diffraction (NPD), and neutron pair distribution functions (nPDF) revealed a 9R hexagonal perovskite structure for BaTiWO with fully occupied central M2 sites, partially occupied outer M1 sites, and oxygen-deficient cubic c-BaO sublayers.

Management and outcome of adult generalized tetanus in a Chinese tertiary hospital.

Background: Tetanus is a rare surgical infectious disease with a high reported relevant mortality. It still remains a serious problem in public health, particularly in low-income and middle-income countries. The purpose of this study was to investigate the management and prognosis of adult generalized tetanus in our hospital.

Machine learning-based identification of CYBB and FCAR as potential neutrophil extracellular trap-related treatment targets in sepsis.

Objective: Sepsis related injury has gradually become the main cause of death in non-cardiac patients in intensive care units, but the underlying pathological and physiological mechanisms remain unclear. The Third International Consensus Definitions for Sepsis and Septic Shock (SEPSIS-3) definition emphasized organ dysfunction caused by infection. Neutrophil extracellular traps (NETs) can cause inflammation and have key roles in sepsis organ failure; however, the role of NETs-related genes in sepsis is unknown.

Efficacy of comprehensive unit-based safety program to prevent ventilator associated-pneumonia for mechanically ventilated patients in China: A propensity-matched analysis.

Background: Ventilator-associated pneumonia (VAP) is the most common healthcare-associated infection (HAI) in patients with mechanical ventilation. VAP is largely preventable, and a comprehensive unit-based safety program (CUSP) has effectively reduced HAI. In this study, we aim to comprehensively investigate the effect of implementing the CUSP in patients requiring mechanical ventilation.

Intrathecal Injection of Tigecycline and Polymyxin B in the Treatment of Extensively Drug-Resistant Intracranial Infection: A Case Report and Review of the Literature.

Purpose: Intracranial infection after neurosurgery is one of the most serious complications, especially extensively drug-resistant (XDR) () seriously affects the prognosis of patients. At present, there is little experience in the treatment of this infection and limited effective treatment options, like tigecycline or polymyxin B. Therefore, this report aims to describe the efficacy of tigecycline combined with polymyxin B by intrathecal (ITH) injection in the treatment of XDR intracranial infection with .

Active Learning Accelerates Design and Optimization of Hole-Transporting Materials for Organic Electronics.

Data-driven methods are receiving increasing attention to accelerate materials design and discovery for organic light-emitting diodes (OLEDs). Machine learning (ML) has enabled high-throughput screening of materials properties to suggest new candidates for organic electronics. However, building reliable predictive ML models requires creating and managing a high volume of data that adequately address the complexity of materials' chemical space.

Design of Organic Electronic Materials With a Goal-Directed Generative Model Powered by Deep Neural Networks and High-Throughput Molecular Simulations.

In recent years, generative machine learning approaches have attracted significant attention as an enabling approach for designing novel molecular materials with minimal design bias and thereby realizing more directed design for a specific materials property space. Further, data-driven approaches have emerged as a new tool to accelerate the development of novel organic electronic materials for organic light-emitting diode (OLED) applications. We demonstrate and validate a goal-directed generative machine learning framework based on a recurrent neural network (RNN) deep reinforcement learning approach for the design of hole transporting OLED materials.

Genetic Dissection of the Mixing Properties of Wheat Flour ( L.) Using Unconditional and Conditional QTL Mapping.

Wheat ( L.) flour mixing properties are essential quality parameters in the dough development process. Limited research on superior alleles for mixing properties has restricted their molecular improvement, and other factors related to the complex traits have been ignored.

Heat shock preconditioning mesenchymal stem cells attenuate acute lung injury via reducing NLRP3 inflammasome activation in macrophages.

Objectives: Acute lung injury (ALI) remains a common cause of morbidity and mortality worldwide, and to date, there is no effective treatment for ALI. Previous studies have revealed that topical administration of mesenchymal stem cells (MSCs) can attenuate the pathological changes in experimental acute lung injury. Heat shock (HS) pretreatment has been identified as a method to enhance the survival and function of cells.

Correction: MicroRNA-377-3p released by mesenchymal stem cell exosomes ameliorates lipopolysaccharide-induced acute lung injury by targeting RPTOR to induce autophagy.

This work was supported by National 13th Five-Year Science and Technology Plan Major Projects of China (2017ZX10203205-006-001); National Key R&D Plan (2017YFA0104304); National Natural Science Foundation of China (81770648 81972286); Guangdong Natural Science Foundation (2015A030312013, 2018A0303130305); Science and Technology Program of Guangdong Province (2017B020209004, 20169013, 2017B030314027). This has now been corrected in both the PDF and HTML versions of the Article.

MicroRNA-377-3p released by mesenchymal stem cell exosomes ameliorates lipopolysaccharide-induced acute lung injury by targeting RPTOR to induce autophagy.

Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are the severe lung damage and respiratory failure without effective therapy. However, there was a lack of understanding of the mechanism by which exosomes regulate autophagy during ALI/ARDS. Here, we found lipopolysaccharide (LPS) significantly increased inflammatory factors, administration of exosomes released by human umbilical cord mesenchymal stem cells (hucMSCs) successfully improved lung morphometry.

Chemical-substitution-induced successive symmetry descent and structure-property correlation for "114" oxides CaBaSrZnAlO.

The crystal structures, photoluminescence properties, and transport properties of a series of new "114" oxides CaBa1-xSrxZn2Al2O7 (x = 0-1) were investigated in detail. Careful Rietveld refinements performed on solid solution samples revealed that the structural symmetry of CaBa1-xSrxZn2Al2O7 evolves from hexagonal P63mc (x < 0.2) to trigonal P31c (0.

Exosomes derived from microRNA-30b-3p-overexpressing mesenchymal stem cells protect against lipopolysaccharide-induced acute lung injury by inhibiting SAA3.

Mesenchymal stem cells (MSCs) have been widely documented for their potential role in the treatment of various clinical disorders, including acute lung injury (ALI). ALI represents a clinical syndrome associated with histopathological diffuse alveolar damage. Recent evidence has demonstrated that exosomes derived from MSCs may serve as a reservoir of anti-apoptotic microRNAs (miRs) conferring protection from certain diseases.

Tracking of transplanted human umbilical cord-derived mesenchymal stem cells labeled with fluorescent probe in a mouse model of acute lung injury.

The aim of the present study was topreliminarily visualize the distribution of humanumbilical cord‑derivedmesenchymal stem cells (hUC‑MSCs) in treating acute lung injury (ALI) using a targeted fluorescent technique. Anovel fluorescent molecule probe was first synthesized via the specific binding of antigen and antibody in vitro to label the hUC‑MSCs. Two groups of mice, comprising a normal saline (NS)+MSC group and lipopolysaccharide (LPS)+MSC group, were subjected to optical imaging.

Genetic dissection of wheat panicle traits using linkage analysis and a genome-wide association study.

Coincident regions on chromosome 4B for GW, on 5A for SD and TSS, and on 3A for SL and GNS were detected through an integration of a linkage analysis and a genome-wide association study (GWAS). In addition, six stable QTL clusters on chromosomes 2D, 3A, 4B, 5A and 6A were identified with high PVE% on a composite map. The panicle traits of wheat, such as grain number per spike and 1000-grain weight, are closely correlated with grain yield.

[Application of plasmapheresis combined with hemofiltration in the treatment of severe liver disease in middle and late pregnancy].

Objective: To investigate the application and security of plasmapheresis combined with hemofiltration in the treatment of severe liver disease in middle and late pregnancy.

Methods: Clinical data of 29 patients of middle and late pregnancy with severe liver disease from March 2009 to November 2013 in the Third Affiliated Hospital of Sun Yat-sen University was analyzed retrospectively. According to the therapeutic schedule, patients were divided into control group (n=16, 18-29 years old, median age of 24 years old) and treatment group (n=13, 21-28 years old, median age of 25 years old).

The evolutionary patterns of hepatitis C virus subtype 2a and 6a isolates linked to an outbreak in China in 2012.

Unlabelled: An HCV outbreak occurred in 2012 in China, affecting hundreds of patients. We characterized HCV subtype 2a and 6a sequences from 60 and 102 patients, respectively, and co-analyzed them with 82 local controls and 103 calibrating references. The close grouping of the patients׳ sequences contrasted sharply with the diversity of local controls.

The association of lipopolysaccharide and inflammatory factors with hepatopulmonary syndrome and their changes after orthotopic liver transplantation.

Background: The level of lipopolysaccharides (LPS) and inflammatory factors were higher in end stage liver disease patient than in normal person for the damage of intestinal mucosal barrier function. Hepatopulmonary syndrome (HPS) was a common pulmonary complication in end stage liver disease. But the association of LPS and inflammatory factors such as toll like receptor 2 (TLR2), TNF-α and ET-1 with the development of HPS was undefined.

Conservation in China of a novel group of HCV variants dating to six centuries ago.

Unlabelled: We characterized a novel group of HCV variants that are genetically related but distinct from each other belonging to genotype 6 (HCV-6). From 26 infected Austronesian-descended aborigines on Hainan Island, China, HCV sequences were determined followed by genetic analyses. Six nearly full-length genomes and 20 E1 sequences of HCV were obtained, which differ from each other and from all known HCV lineages by nucleotides above the intra-subtype level of 13%.

Kernel-based partial least squares: application to fingerprint-based QSAR with model visualization.

Numerous regression-based and machine learning techniques are available for the development of linear and nonlinear QSAR models that can accurately predict biological endpoints. Such tools can be quite powerful in the hands of an experienced modeler, but too frequently a disconnect remains between the modeler and project chemist because the resulting QSAR models are effectively black boxes. As a result, learning methods that yield models that can be visualized in the context of chemical structures are in high demand.

Hole filling and library optimization: application to commercially available fragment libraries.

Compound libraries comprise an integral component of drug discovery in the pharmaceutical and biotechnology industries. While in-house libraries often contain millions of molecules, this number pales in comparison to the accessible space of drug-like molecules. Therefore, care must be taken when adding new compounds to an existing library in order to ensure that unexplored regions in the chemical space are filled efficiently while not needlessly increasing the library size.