Publications by authors named "S-D Yao"

Immunometabolism is critical in the regulation of immunity and inflammation; however, the mechanism of preventing aberrant activation-induced immunopathology remains largely unclear. Here, we report that glyoxalase II (GLO2) in the glycolysis branching pathway is specifically downregulated by NF-κB signaling during innate immune activation via tristetraprolin (TTP)-mediated mRNA decay. As a result, its substrate S-D-lactoylglutathione (SLG) accumulates in the cytosol and directly induces D-lactyllysine modification of proteins.

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  • This study presents a new method for creating uniform droplets in the picoliter to nanoliter range, crucial for effective microreactors in chemical and biomedical applications.
  • A floating capillary-based open microfluidic device (FCOMD) is introduced, utilizing an angled capillary to control droplet formation by adjusting specific parameters.
  • The FCOMD significantly increases droplet production efficiency compared to traditional methods, enabling the creation of various types of droplets and highlighting its potential use across diverse industries like materials science, food, and pharmaceuticals.
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  • - The study investigates first-episode schizophrenia (FES) and its relationship with genetic factors, brain function, and treatment outcomes among a group of 116 FES patients and 100 healthy controls aged 7 to 30.
  • - Findings reveal that FES patients exhibit reduced global connection gradients in their brain networks, particularly in the default and sensorimotor networks, which relate to cognitive functions and are influenced by age at onset.
  • - The research identifies gene expression patterns that overlap with those in other psychiatric disorders, suggesting that these genetic factors contribute to the functional impairments observed in FES and can predict treatment responses.
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  • The study investigates the processes e^{+}e^{-}→D_{s}^{+}D_{s1}(2536)^{-} and e^{+}e^{-}→D_{s}^{+}D_{s2}^{*}(2573)^{-} using data from the BESIII detector, focusing on a range of center-of-mass energies.
  • For the first time, the absolute branching fractions of the decay processes for D_{s1}(2536)^{-} and D_{s2}^{*}(2573)^{-} are measured, revealing values of 35.9% and 37.4% respectively.
  • The research identifies a resonant structure around 4.6 Ge
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  • The study aimed to create and validate deep-learning models to predict microsatellite instability (MSI) in rectal cancer patients using clinical data, multiparametric MRI, and pathology slides.* -
  • Researchers analyzed data from 467 patients, splitting them into training, internal validation, and external validation sets, while utilizing specific MRI sequences and staining techniques for comprehensive analysis.* -
  • The final models combined clinical predictors with deep-learning scores from MRI and pathology images, achieving varying predictive performance metrics, with the clinical model's AUC values indicating effectiveness at predicting MSI.*
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Background: Intensive deployment of insecticide based malaria vector control tools resulted in the rapid evolution of phenotypes resistant to these chemicals. Understanding this process at the genomic level is important for the deployment of successful vector control interventions. Therefore, longitudinal sampling followed by whole genome sequencing (WGS) is necessary to understand how these evolutionary processes evolve over time.

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  • Electroporation (EP) is an effective non-viral method for delivering plasmids, but improving transfection efficiency in living organisms is still challenging.
  • The study highlights how the enzyme hyaluronidase enhances DNA transfer efficiency by breaking down hyaluronic acid, leading to a 2- to 3-fold improvement in plasmid distribution within skeletal muscle.
  • Additionally, the timing of hyaluronidase treatment has minimal impact on serum protein levels from delivered DNA, and bioimpedance measurements help optimize electroporation parameters for better outcomes in animal models.
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Aim: To systematically evaluate the effect of smoking cessation training on nursing students' learning outcomes.

Design: This systematic review followed the PRISMA guidelines and was registered with PROSPERO (CRD42022373280).

Methods: Ten electronic English and Chinese databases were searched to identify articles on nursing students' smoking cessation training from inception to October 2022.

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Objectives: Fatigue and low-temperature degradation (LTD) are the main factors contributing to zirconia restoration failure. This study evaluated the effect of LTD on the fatigue performance of the novel "strength & shade-gradient" multilayered zirconia restorations.

Methods: Discs (15 mm × 1.

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Using data samples with an integrated luminosity of 5.85  fb^{-1} collected at center-of-mass energies from 4.61 to 4.

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The process e^{+}e^{-}→D_{s}^{*+}D_{s}^{*-} is studied with a semi-inclusive method using data samples at center-of-mass energies from threshold to 4.95 GeV collected with the BESIII detector operating at the Beijing Electron Positron Collider. The Born cross sections of the process are measured for the first time with high precision in this energy region.

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  • - Current gene editing methods can only make small edits to DNA and often lead to unintended changes and difficulties in delivering larger DNA segments.
  • - The new approach called Splice Editing allows for the correction of gene transcripts by inserting or replacing large RNA segments using CRISPR technology and the cell's own RNA-splicing mechanisms, making it efficient and precise.
  • - Splice Editing can simultaneously modify thousands of RNA bases in a single, reversible step, potentially increasing treatment options for genetic diseases with diverse mutations while avoiding the permanent effects seen with traditional DNA editing.
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Single-molecule localization microscopy (SMLM) can be used to resolve subcellular structures and achieve a tenfold improvement in spatial resolution compared to that obtained by conventional fluorescence microscopy. However, the separation of single-molecule fluorescence events that requires thousands of frames dramatically increases the image acquisition time and phototoxicity, impeding the observation of instantaneous intracellular dynamics. Here we develop a deep-learning based single-frame super-resolution microscopy (SFSRM) method which utilizes a subpixel edge map and a multicomponent optimization strategy to guide the neural network to reconstruct a super-resolution image from a single frame of a diffraction-limited image.

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Background: The significance of implicit self-schema and other-schema in major depressive disorder (MDD) is highlighted by both cognitive theory and attachment theory. The purpose of the current study was to investigate the behavioral and event-related potential (ERP) characteristics of implicit schemas in MDD patients.

Methods: The current study recruited 40 patients with MDD and 33 healthy controls (HCs).

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In diffusion weighted MRI (DW-MRI), hardware nonlinearities lead to spatial variations in the orientation and magnitude of diffusion weighting. While the correction of these spatial distortions has been well established for analyses of DW-MRI, the existing voxel-wise empirical correction for gradient nonlinearities requires reimplementation of existing models, as the resultant gradients vary by voxel. Herein, we propose a two-step signal approximation after voxel-wise correction of gradient nonlinearity effects in DW-MRI.

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Background: This post hoc analysis of a large, phase 3 program evaluated the effects of upadacitinib on fatigue, bowel urgency, and abdominal pain in patients with moderately to severely active ulcerative colitis.

Methods: Induction data were pooled from 2 identical studies, the U-ACHIEVE induction and U-ACCOMPLISH studies. Patients in these studies received upadacitinib 45 mg once daily or placebo as induction treatment.

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Observational studies have reported the correlations between brain imaging-derived phenotypes (IDPs) and psychiatric disorders; however, whether the relationships are causal is uncertain. We conducted bidirectional two-sample Mendelian randomization (MR) analyses to explore the causalities between 587 reliable IDPs (N = 33,224 individuals) and 10 psychiatric disorders (N = 9,725 to 161,405). We identified nine IDPs for which there was evidence of a causal influence on risk of schizophrenia, anorexia nervosa and bipolar disorder.

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Context: Concussion is an acute, transient disruption in brain function due to head injury. Previous studies suggest osteopathic manipulative medicine (OMM) improved recovery from concussion.

Objectives: The hypothesis was that new-onset impairments (NOI) of neurological functions identified by Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) will improve more so after OMM than after concussion-education.

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Background: Racial differences in metabolomic profiles may reflect underlying differences in social determinants of health by self-reported race and may be related to racial disparities in coronary heart disease (CHD) among women in the United States. However, the magnitude of differences in metabolomic profiles between Black and White women in the United States has not been well-described. It also remains unknown whether such differences are related to differences in CHD risk.

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In vitro tissue models hold great promise for modeling diseases and drug responses. Here, we used emulsion microfluidics to form micro-organospheres (MOSs), which are droplet-encapsulated miniature three-dimensional (3D) tissue models that can be established rapidly from patient tissues or cells. MOSs retain key biological features and responses to chemo-, targeted, and radiation therapies compared with organoids.

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Members of the human gut microbiome enzymatically process many bioactive molecules in the gastrointestinal tract. Most gut bacterial modifications characterized so far are hydrolytic or reductive in nature. Here we report that abundant human gut bacteria from the phylum Bacteroidetes perform conjugative modifications by selectively sulfonating steroidal metabolites.

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The treatment of oily sludge (OS) can not only effectively solve environmental pollution but also contribute to the efficient use of energy. In this study, the separation effect of OS was analyzed through sodium lignosulfonate (SL)-assisted sodium persulfate (S/D) treatment. The effects of SL concentration, pH, temperature, solid-liquid ratio, revolving speed, and time on SL adsorption solubilization were analyzed.

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Background: Cognitive decline is a growing public health concern. However, presently, only a few large-scale studies are available on the prevalence of cognitive decline worldwide, and the relationship between nutrition and cognitive decline remains unclear and requires further investigation, especially among Chinese centenarians and oldest-old adults. This study aimed to assess the prevalence of cognitive decline among Chinese centenarians and oldest-old adults, its associated factors, and explore a possible connection with nutrition, to provide new directions for the prevention of cognitive decline in Chinese centenarians and oldest-old adults.

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Solvent-mediated polymorphic transformations (SMPTs) employing nonconventional solvents (polymer melts) is an underexplored research topic that limits the application of polymer-based formulation processes. Acetaminophen (ACM), a widely studied active pharmaceutical ingredient (API), is known to present SMPTs spontaneously (<30 s) in conventional solvents such as ethanol. Raman spectroscopy was employed to monitor the induction time for the SMPT of ACM II to I in polyethylene glycol (PEG) melts of different molecular weights (, 4000, 10 000, 20 000, 35 000 g/mol).

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Serine carboxypeptidase-like acyltransferases (SCPL-ATs) play a vital role in the diversification of plant metabolites. Galloylated flavan-3-ols highly accumulate in tea (Camellia sinensis), grape (Vitis vinifera), and persimmon (Diospyros kaki). To date, the biosynthetic mechanism of these compounds remains unknown.

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