Epigenetic Control of Redox Pathways in Cancer Progression.

Growing evidence indicates the importance of redox reactions homeostasis, mediated predominantly by reactive oxygen species (ROS) in influencing the development, differentiation, progression, metastasis, programmed cell death, tumor microenvironment, and therapeutic resistance of cancer. Therefore, reviewing the ROS-linked epigenetic changes in cancer is fundamental to understanding the progression and prevention of cancer. We review in depth the molecular mechanisms involved in ROS-mediated epigenetic changes that lead to alteration of gene expression by altering DNA, modifying histones, and remodeling chromatin and noncoding RNA.

A comprehensive study of quantum arithmetic circuits.

In recent decades, the field of quantum computing has experienced remarkable progress. This progress is marked by the superior performance of many quantum algorithms compared with their classical counterparts, with Shor's algorithm serving as a prominent illustration. Quantum arithmetic circuits, which are the fundamental building blocks in numerous quantum algorithms, have attracted much attention.

The Future Hospital in Global Health Systems: The Future Hospital Within the Healthcare System.

Future hospitals must be able to adapt in many ways to the changing demands on their roles and functions within evolving healthcare delivery infrastructures. These include changing population structures and needs, new models of healthcare provision, technological advances, and innovations in design, all while enhancing their environmental sustainability. This article sets out the issues that those determining healthcare policy and designing future hospitals must consider if they are to become and remain fit for purpose within the wider health and social care system.

The global prevalence of emotional eating in overweight and obese populations: A systematic review and meta-analysis.

This systematic review aims to investigate the current prevalence of emotional eating and its associated factors in overweight and obese populations. We included studies that (1) reported prevalence of emotional eating; (2) were in the context of weight gain or overweight and obesity; (3) used a validated psychometric tool to assess emotional eating; (4) were published as an internationally referred journal article and (5) were reported in the English language. Articles were searched on eight electronic databases (CINAHL, EMBASE, PsychINFO, ProQuest, PubMed, Scopus, The Cochrane Library and Web of Science) from the journals' inception to 11 April 2024.

Engineering Atom-Scale Cascade Catalysis via Multi-Active Site Collaboration for Ampere-Level CO Electroreduction to C Products.

Electrochemical reduction of CO to value-added multicarbon (C) productions offers an attractive route for renewable energy storage and CO utilization, but it remains challenging to achieve high C selectivity at industrial-level current density. Herein, a MoCu single-atom alloy (SAA) catalyst is reported that displays a remarkable C Faradaic efficiency of 86.4% under 0.

A policy framework for leveraging generative AI to address enduring challenges in clinical trials.

Can artificial intelligence improve clinical trial design? Despite their importance in medicine, over 40% of trials involve flawed protocols. We introduce and propose the development of application-specific language models (ASLMs) for clinical trial design across three phases: ASLM development by regulatory agencies, customization by Health Technology Assessment bodies, and deployment to stakeholders. This strategy could enhance trial efficiency, inclusivity, and safety, leading to more representative, cost-effective clinical trials.

Associations between potential risk factors and blood-brain barrier water permeability in middle-aged and older adults.

Blood-brain barrier (BBB) dysfunction is suggested to be a potential mediator between vascular risk factors and cognitive impairment, leading to vascular cognitive impairment. To investigate the relationships between age, sex, and vascular risk factors and BBB water permeability as well as their relationship with cognition. To measure BBB permeability, a novel arterial spin labelling MRI technique (ME-ASL) was applied to derive the time of exchange (Tex), arterial time transit (ATT), and cerebral blood flow (CBF).

Initial Decline in Glomerular Filtration Rate With Finerenone in HFmrEF/HFpEF: A Prespecified Analysis of FINEARTS-HF.

Background: An initial decline in estimated glomerular filtration rate (eGFR) often leads to reluctance to continue life-saving therapies in patients with heart failure (HF).

Objectives: The goal of this study was to describe the association between initial decline in eGFR and subsequent clinical outcomes in patients randomized to placebo or finerenone.

Methods: In this prespecified analysis of FINEARTS-HF (Finerenone Trial to Investigate Efficacy and Safety Superior to Placebo in Patients with Heart Failure), we examined the association between initial decline in eGFR (≥15%) from randomization to 1 month and subsequent outcomes in patients assigned to finerenone or placebo.

Can large language models fully automate or partially assist paper selection in systematic reviews?

Background/aims: Large language models (LLMs) have substantial potential to enhance the efficiency of academic research. The accuracy and performance of LLMs in a systematic review, a core part of evidence building, has yet to be studied in detail.

Methods: We introduced two LLM-based approaches of systematic review: an LLM-enabled fully automated approach (LLM-FA) utilising three different GPT-4 plugins (Consensus GPT, Scholar GPT and GPT web browsing modes) and an LLM-facilitated semi-automated approach (LLM-SA) using GPT4's Application Programming Interface (API).

Heterogeneous entity representation for medicinal synergy prediction.

Motivation: Forecasting the synergistic effects of drug combinations facilitates drug discovery and development, especially regarding cancer therapeutics. While numerous computational methods have emerged, most of them fall short in fully modeling the relationships among clinical entities including drugs, cell lines, and diseases, which hampers their ability to generalize to drug combinations involving unseen drugs. These relationships are complex and multidimensional, requiring sophisticated modeling to capture nuanced interplay that can significantly influence therapeutic efficacy.

Nanoplastic-induced antibody liquid-liquid phase separation: Insights into potential immunotoxic implications.

The increasing environmental prevalence of micro/nano plastics (MNPs) has raised significant concerns regarding their potential impact on human health, particularly in terms of immunotoxicity. However, the direct effects of MNPs on immune molecules, especially how they may influence protein liquid-liquid phase separation (LLPS)-a critical process implicated in various aspects of immune function-remain largely unexplored. This study addresses this gap by investigating the effects of polystyrene nanoparticles (PS NPs) with different surface modifications and sizes on LLPS in immunoglobulin Y (IgY) antibodies, critical components of the avian immune system.

Enhancing Alkaline Hydrogen Evolution by Regulating H and OH Binding Strength through Strong Metal-Support Interactions.

Establishing optimized metal-support interaction (MSI) between active sites and the substrate is essential for modulating the adsorption properties of key reaction intermediates during catalysis, thereby enhancing the catalytic performance. In this study, catalyst composites with varying degrees of MSI are constructed using ruthenium (Ru) and different carbon nanotubes, and their performance for alkaline hydrogen evolution reaction (HER) is systematically investigated. Detailed kinetic assessments reveal that catalysts with a strong MSI exhibit superior HER activity.

Outcomes of mechanical thrombectomy for medium vessel occlusion in acute ischemic stroke patients with ASPECTS 4-5 vs. 6-7: a retrospective, multicenter, and multinational study.

Introduction: Mechanical thrombectomy (MT) efficacy in medium vessel occlusion (MeVO) stroke, particularly in patients with low Alberta Stroke Program Early Computed Tomography Score (ASPECTS), remains less explored.

Methods: This retrospective study analyzed data from 443 AIS patients treated with MT for MeVO and low ASPECTS (4-7) at 37 centers across North America, Asia, and Europe, from September 2017 to July 2021. Patients were categorized into ASPECTS of 4-5 and 6-7.

Aptamer-Driven Multifunctional Nanoplatform for Near-Infrared Fluorescence Imaging and Rapid Inactivation of .

() is a prominent pathogen responsible for intestinal infections, primarily transmitted through contaminated food and water. This underscores the critical need for precise and biocompatible technologies enabling early detection and intervention of bacterial colonization . Herein, a multifunctional nanoplatform (IR808-Au@ZIF-90-Apt) was designed, utilizing an -specific aptamer to initiate cascade responses triggered by intracellular ATP and GSH.

Simultaneous Toughening and Strengthening of Ductile Polymer by Rigid Polymeric Fillers: The Role of Interfacial Entanglement.

The modification of thermoplastic polymers is frequently impeded by the inherent contradiction between their toughness and strength. In this study, an effective strategy to significantly improve the mechanical properties of ductile polymers by simply adding a complimentary rigid polymer is introduced. This work uses a semi-crystalline polymer aliphatic polyketone (POK) as the matrix material and a small quantity of polymethyl methacrylate (PMMA) as the rigid polymer, through establishing molecular chain entanglements at the interface to produce POK/PMMA blends with exceptional mechanical property.

Interfacial Water Orientation in Neutral Oxygen Catalysis for Reversible Ampere-scale Zinc-air Batteries.

The neutral oxygen catalysis is an electrochemical reaction of the utmost importance in energy generation, storage application, and chemical synthesis. However, the restricted availability of protons poses a challenge to achieving kinetically favorable oxygen catalytic reactions. Here, we alter the interfacial water orientation by adjusting the Brønsted acidity at the catalyst surface, to break the proton transfer limitation of neutral oxygen electrocatalysis.

The Impact of Sinus Surgery for Chronic Rhinosinusitis on Concomitant Depression and Anxiety Symptoms: A Systematic Review and Meta-analysis.

Background: Both anxiety and depression are prevalent among patients with chronic rhinosinusitis (CRS) and associated with poorer outcomes following treatment for CRS. However, the impact of treatment on CRS on mental health remains uncertain. Therefore, this study seeks to evaluate if surgical intervention for CRS may alleviate comorbid depression and anxiety.

Utilizing deep learning to predict Alzheimer's disease and mild cognitive impairment with optical coherence tomography.

Introduction: Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains limited. We aimed to develop a deep-learning algorithm using OCT to detect AD and MCI.

Methods: We performed a cross-sectional study involving 228 Asian participants (173 cases/55 controls) for model development and testing on 68 Asian (52 cases/16 controls) and 85 White (39 cases/46 controls) participants.

Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning.

The discovery of the optimal conditions for chemical reactions is a labor-intensive, time-consuming task that requires exploring a high-dimensional parametric space. Historically, the optimization of chemical reactions has been performed by manual experimentation guided by human intuition and through the design of experiments where reaction variables are modified one at a time to find the optimal conditions for a specific reaction outcome. Recently, a paradigm change in chemical reaction optimization has been enabled by advances in lab automation and the introduction of machine learning algorithms.

Toward a Generalizable Machine-Learned Potential for Metal-Organic Frameworks.

Machine-learned potentials (MLPs) have transformed the field of molecular simulations by scaling "quantum-accurate" potentials to linear time complexity. While they provide more accurate reproduction of physical properties as compared to empirical force fields, it is still computationally costly to generate their training data sets from ab initio calculations. Despite the emergence of foundational or general MLPs for organic molecules and dense materials, it is unexplored if one general MLP can be effectively developed for a wide variety of nanoporous metal-organic frameworks (MOFs) with different chemical moieties and geometric properties.

Breathing Transition and Effective Iodine Adsorption in a Temperature-Responsive Zn-Based Flexible Metal-Organic Framework.

A porous and flexible Zn-MOF was synthesized under solvothermal conditions by using the ligand 2,5-furandicarboxylic acid (2,5-FDA). This flexible Zn-MOF demonstrates a temperature-triggered breathing effect. At low temperature (100 K), we obtained the high-symmetry MOF denoted as with a unit cell volume of 1958 Å, characterized by triangular narrow pore (np) channels.