Multifunctional hydrogel electronics for closed-loop antiepileptic treatment.

Closed-loop strategies offer advanced therapeutic potential through intelligent disease management. Here, we develop a hydrogel-based, single-component, organic electronic device for closed-loop neurotherapy. Fabricated out of conductive hydrogels, the device consists of a flexible array of microneedle electrodes, each of which can be individually addressed to perform electrical recording and control chemical release with sophisticated spatiotemporal control, thus pioneering a smart antiseizure therapeutic system by combining electrical and pharmacological interventions.

Unleashing the therapeutic power of verteporfin-eluting stents: modulating YAP signaling to combat carotid artery restenosis and cerebral watershed infarction.

Carotid artery stenosis is the main cause of cerebral watershed infarction (CWI). In recent years, increasing attention has been given to treating this condition. The present study aimed to investigate how Verteporfin-eluting stent (VPES) modulates the YAP signaling pathway to inhibit restenosis of the carotid artery and alleviate CWI.

Fat fraction quantification by MRI predicts diagnosis and prognosis of HBV-related steatohepatitic hepatocellular carcinoma.

Objectives: This study explored the clinical prognosis and lipidomics of hepatitis B virus steatohepatitic hepatocellular carcinoma (HBV-SHHCC) and aimed to identify a noninvasive and convenient method to diagnose this phenotype and guide treatment using MRI.

Methods: A total of 433 HBV-infected HCC patients were enrolled in this retrospective study. Survival data were analyzed using Cox regression analyses, and lipidomics was used to study HCC tissue composition.

Regulation of macrophage uptake through the bio-nano interaction using surface functionalized mesoporous silica nanoparticles with large radial pores.

Porous nanoparticles, such as mesoporous silica nanoparticles (MSNs), have garnered significant interest for biomedical applications. Recently, MSNs with large radial pores have attracted increased attention because their unique pore structure and large pore size are suitable for delivering large molecules such as proteins and genes. Upon entry into biological systems like the bloodstream, nanoparticles quickly form a 'protein corona,' leading to alterations in their interactions with immune cells.

Reconfiguring Alginate-Based Supra-amphiphiles via Redox-Responsive Pickering Emulsions for Enhancing Pesticide Droplet Retention.

In view of the micro/nanostructure tunability of colloid particles, they acted as agrichemical delivery systems. Herein, supra-amphiphilic colloids were fabricated using a host-guest interfacial recognition-architected emulsion template strategy and controlled their agricultural interfacial interactions with the superhydrophobic target surface. Interestingly, the supramolecular interfacial system possessed redox-stimulated molecular reconfigurability by regulating aggregation/disaggregation behaviors.

Effects of Diets With Different Carbohydrate to Lipid Ratios on the Growth Performance, Ion Transport, and Carbohydrate, Lipid and Ammonia Metabolism of Nile Tilapia () Under Long-Term Saline-Alkali Stress.

A 50-day test was adopted to compare the growth performance, liver histology, glucose metabolism, lipid (L) metabolism, ion transport, and ammonia metabolism of tilapia fed different carbohydrate-lipid (C:L) ratio diets under saline-alkaline water (salinity = 16 mmol/L and alkalinity = 35 mmol/L). The C and L levels of five isoenergetic (16.5 kJ/g) and isonitrogenous (32% protein) diets were C45%:L3% (L3), C38%:L6% (L6), C31%:L9% (L9), C24%:L12% (L12), and C17%:L15% (L15).

Impact of noradrenergic inhibition on neuroinflammation and pathophysiology in mouse models of Alzheimer's disease.

Norepinephrine (NE) modulates cognitive function, arousal, attention, and responses to novelty and stress, and also regulates neuroinflammation. We previously demonstrated behavioral and immunomodulatory effects of beta-adrenergic pharmacology in mouse models of Alzheimer's disease (AD). The current studies were designed to block noradrenergic signaling in 5XFAD mice through chemogenetic inhibition of the locus coeruleus (LC), pharmacologic blocking of β-adrenergic receptors, and conditional deletion of β1- or β2-adrenergic receptors (adrb1 or adrb2) in microglia.

PAIRWISE: Deep Learning-based Prediction of Effective Personalized Drug Combinations in Cancer.

Combination therapies offer promise for improving cancer treatment efficacy and preventing recurrence. However, identifying optimal drug combinations tailored to specific cancer subtypes and individual patients is extremely challenging due to the vast number of possible combinations and tumor heterogeneity. To address this gap, we take a machine learning approach combining deep learning with transfer learning to incorporate prior scientific knowledge and predict drug synergy based on tumor-specific transcriptome profiles.

Phase transition induced hydrogen activation for enhanced furfural reductive amination over a CoCu bimetallic catalyst.

The synthesis of primary amines from renewable biomass and its derivatives through reductive amination has garnered significant attention. How to construct efficient non-noble-metal catalysts that enable low-temperature catalysis still remains challenging. Herein, we report a Cu-doped Co@CoO heterostructure catalyst that features structural Co-CoCuO bifunctional sites, which enable room temperature reductive amination of various aldehydes with 1.

Sodium-glucose co-transporter-2 inhibitors in patients with chronic kidney disease with or without type 2 diabetes: systematic review and meta-analysis.

Objective: To examine cardiovascular and kidney benefits and harms of sodium-glucose co-transporter-2 (SGLT-2) inhibitors stratified by risk in adults with chronic kidney disease regardless of diabetes status.

Design: Systematic review and meta-analysis.

Data Sources: Ovid Medline, Embase, and Cochrane Central from database inception to 15 June 2024.

SAMP: Identifying antimicrobial peptides by an ensemble learning model based on proportionalized split amino acid composition.

It is projected that 10 million deaths could be attributed to drug-resistant bacteria infections in 2050. To address this concern, identifying new-generation antibiotics is an effective way. Antimicrobial peptides (AMPs), a class of innate immune effectors, have received significant attention for their capacity to eliminate drug-resistant pathogens, including viruses, bacteria, and fungi.

Silicon-based quantum random number generator with untrusted sources and uncharacterized measurements.

Random numbers are essential resources in science and engineering, with indispensable applications in simulation, cybersecurity, and finance. Quantum random number generators (QRNGs), based on the principles of quantum mechanics, ensure genuine randomness and unpredictability. Silicon photonics enables the large-scale deployment of integrated QRNGs due to its low cost, miniaturization, and compatibility with CMOS technology.

Functional annotation of the Hippo pathway somatic mutations in human cancers.

The Hippo pathway is commonly altered in cancer initiation and progression; however, exactly how this pathway becomes dysregulated to promote human cancer development remains unclear. Here we analyze the Hippo somatic mutations in the human cancer genome and functionally annotate their roles in targeting the Hippo pathway. We identify a total of 85 loss-of-function (LOF) missense mutations for Hippo pathway genes and elucidate their underlying mechanisms.

Constructing guar hydroxypropyltrimonium chloride continuous segregated network structure for preparation of biobased conductive film.

Stretchable bioelectronics advancements have placed higher demands on conductive elastic film. However, the high conductivity of elastomers largely relies on the substantial content of costly conductive fillers while being environmentally unfriendly. Herein, in order to achieve a win-win situation for the economy and the environment, guar hydroxypropyltrimonium chloride (CGG) was introduced in epoxy natural rubber (ENR) to prepare biobased conductive film.

An Atomistic Investigation of the Inverse Coarsening Process by the Phase-Field Crystal Model.

Coarsening is a very common phenomenon that has a crucial impact on the average grain size and properties of materials. However, our current understanding of coarsening is mainly based on the mean-field theories or ex situ observations, and the influence of transient process-related phenomena, such as grain rotation, inverse growth, etc., on coarsening was not considered.

From small changes to big gains: pyridinium-based tetralactam macrocycle for enhanced sugar recognition in water.

The complex distribution of functional groups in carbohydrates, coupled with their strong solvation in water, makes them challenging targets for synthetic receptors. Despite extensive research into various molecular frameworks, most synthetic carbohydrate receptors have exhibited low affinities, and their interactions with sugars in aqueous environments remain poorly understood. In this work, we present a simple pyridinium-based hydrogen-bonding receptor derived from a subtle structural modification of a well-known tetralactam macrocycle.

Adaptable Hydrogel with Strong Adhesion of Wet Tissue for Long-Term Protection of Periodontitis Wound.

Periodontitis is a severe gum infection characterized by inflammation of the tissues surrounding the teeth. The disease is challenging to manage due to its exposure to a wet and dynamic oral environment, where conventional hydrogels often suffer from weak adhesion, short residence time, and vulnerability to bacterial invasion. In this study, an innovative hydrogel system based on in situ light curing is proposed.

Orientation-Selective Memory Switching in Quasi-1D NbSe Neuromorphic Device for Omnibearing Motion Detection.

Intelligent neuromorphic hardware holds considerable promise in addressing the growing demand for massive real-time data processing in edge computing. Resistive switching materials with intrinsic anisotropy and a compact design of non-volatile memory devices with the capability of handling spatiotemporally reconstructed data is crucial to perform sophisticated tasks in complex application scenarios. In this study, an anisotropic resistive switching cell with a planar configuration based on lithiated NbSe nanosheets is demonstrated.

TIPS insertion leads to sustained reversal of systemic inflammation in patients with decompensated liver cirrhosis.

Background And Aims: Systemic Inflammation (SI) is considered a key mechanism in disease progression and development of complications in decompensated liver cirrhosis. SI is mainly driven by portal hypertension and bacterial translocation. Transjugular intrahepatic portosystemic shunt (TIPS)-insertion represents an effective treatment for portal hypertension.

Differences of regional homogeneity and cognitive function between psychotic depression and drug-naïve schizophrenia.

Background: Psychotic depression (PD) and schizophrenia (SCZ) share overlapping symptoms yet differ in etiology, progression, and treatment approaches. Differentiating these disorders through symptom-based diagnosis is challenging, emphasizing the need for a clearer understanding of their distinct cognitive and neural mechanisms.

Aim: This study aims to compare cognitive impairments and brain functional activities in PD and SCZ to pinpoint distinguishing characteristics of each disorder.

A multi-omic atlas of human embryonic skeletal development.

Human embryonic bone and joint formation is determined by coordinated differentiation of progenitors in the nascent skeleton. The cell states, epigenetic processes and key regulatory factors that underlie lineage commitment of these cells remain elusive. Here we applied paired transcriptional and epigenetic profiling of approximately 336,000 nucleus droplets and spatial transcriptomics to establish a multi-omic atlas of human embryonic joint and cranium development between 5 and 11 weeks after conception.

Consensus prediction of cell type labels in single-cell data with popV.

Cell-type classification is a crucial step in single-cell sequencing analysis. Various methods have been proposed for transferring a cell-type label from an annotated reference atlas to unannotated query datasets. Existing methods for transferring cell-type labels lack proper uncertainty estimation for the resulting annotations, limiting interpretability and usefulness.

Targeted delivery of extracellular vesicles: the mechanisms, techniques and therapeutic applications.

Extracellular vesicles (EVs) are cell-derived vesicles with a phospholipid bilayer measuring 50-150 nm in diameter with demonstrated therapeutic potentials. Limitations such as the natural biodistribution (mainly concentrated in the liver and spleen) and short plasma half-life of EVs present significant challenges to their clinical translation. In recent years, growing research indicated that engineered EVs with enhanced targeting to lesion sites have markedly promoted therapeutic efficacy.