Co-delivery of doxorubicin and glycyrrhetinic acid via acid/glutathione dual responsive nano-prodrug with sodium bicarbonate carry-on for advanced combinational cancer treatment.

The combination of doxorubicin (Dox) and glycyrrhetinic acid (GA) has been widely explored for treating various cancers, while the heterogeneous distribution, uncontrolled release and acid tumor microenvironment often hinder their synergistic effects. Herein, we introduce an acid/glutathione (GSH)-dual responsive nano-prodrug (AS1411@Dox+GA/NPs) enabling precise co-delivery of Dox and GA for enhanced combination therapy. The GSH-activated Dox prodrug [Poly(lactic-co-glycolic acid)-disulfide-Dox, PLGA-ss-Dox], GA, and sulfur-terminated D-α-tocopherol polyethylene glycol succinate (TPGS-SH) are combined to form a nanoemulsion with sodium bicarbonate (NaHCO) in the aqueous phase.

Development and validation of a multi-parametric MRI deep-learning model for preoperative lymphovascular invasion evaluation in rectal cancer.

Background: Lymphovascular invasion (LVI) is an independent prognostic factor for patients with rectal cancer (RC). Recent studies have shown that deep learning (DL)-based magnetic resonance imaging (MRI) has potential in evaluating the treatment response of RC patients, but the role of MRI-based DL in assessing RC LVI remains unclear. This study sought to develop and validate a DL model to evaluate the LVI status of RC patients preoperatively based on MRI, and to test its performance at an external center.

Dynamic allostery in the peptide/MHC complex enables TCR neoantigen selectivity.

The inherent antigen cross-reactivity of the T cell receptor (TCR) is balanced by high specificity. Surprisingly, TCR specificity often manifests in ways not easily interpreted from static structures. Here we show that TCR discrimination between an HLA-A*03:01 (HLA-A3)-restricted public neoantigen and its wild-type (WT) counterpart emerges from distinct motions within the HLA-A3 peptide binding groove that vary with the identity of the peptide's first primary anchor.

Comprehensive multi-omics, behavioral and morphological analysis of the hazards of nano-plastics in mice with internal carotid artery occlusion.

Accumulation of nanoplastics (NPs) poses a severe threat to the homeostasis of the internal environment in patients with chronic diseases. The effects of NP contamination on health in chronically ill populations must urgently be elucidated. In this study, NPs injected via the tail vein were distributed in the brain and internal organs in a mouse model of chronic internal carotid occlusion.

Two-stage Non-Intrusive Load Monitoring method for multi-state loads.

The loads that have several working states cannot be accurately distinguished by the conventional Non-Intrusive Load Monitoring (NILM) methods. This paper proposed an improved NILM method based on the Resnet18 Convolutional Neural Network (CNN) and Support Vector Machine (SVM) algorithm to address the misidentification of multi-state appliances. The V-I trajectories of loads are at first classified with Resnet18.

Mechanisms of thermal, acid, desiccation and osmotic tolerance of spp.

spp. exhibit remarkable resilience to extreme environmental stresses, including thermal, acidic, desiccation, and osmotic conditions, posing significant challenges to food safety. Their thermotolerance relies on heat shock proteins (HSPs), thermotolerance genomic islands, enhanced DNA repair mechanisms, and metabolic adjustments, ensuring survival under high-temperature conditions.

An improved particle swarm optimization for multilevel thresholding medical image segmentation.

Multilevel thresholding image segmentation is one of the widely used image segmentation methods, and it is also an important means of medical image preprocessing. Replacing the original costly exhaustive search approach, swarm intelligent optimization algorithms are recently used to determine the optimal thresholds for medical image, and medical images tend to have higher bit depth. Aiming at the drawbacks of premature convergence of existing optimization algorithms for high-bit depth image segmentation, this paper presents a pyramid particle swarm optimization based on complementary inertia weights (CIWP-PSO), and the Kapur entropy is employed as the optimization objective.

Optimal parameter setting and evaluation for ultraviolet-assisted direct ink writing bioprinting of nHA/PEGDA scaffold.

Ultraviolet-assisted Direct Ink Writing（UV-DIW）, an extrusion-based additive manufacturing technology, has emerged as a prominent 3D printing technique and is currently an important topic in bone tissue engineering research. This study focused on the printability of double-network (DN) bioink (Nano-hydroxyapatite/Polyethylene glycol diacrylate(nHA/PEGDA)). Next, we search for the optimal UV-DIW printing parameters for the scaffold formed by nHA-PEGDA.

Single-nucleus RNA sequencing-based construction of a hippocampal neuron atlas in mice with epileptic cognitive impairment.

The hippocampus plays a critical role in learning and memory, and mice with epileptic cognitive impairment exhibit hippocampal atrophy. However, there is still a lack of research on the hippocampal cell atlas related to these disorders. Here, we utilized snRNA-seq to characterize the transcriptomic changes in hippocampal neurons of drug-resistant epilepsy (DRE) cognitive-impaired mice.

The blue shift of fluorescence emission reveals the dsRNA-loading capacity of cationic nanocarriers.

The loading capacity of dsRNA by nanocarriers is a key parameter in the process of RNAi commercialisation. In this research, a sustainable, simple, and cheap method was developed to determine the dsRNA loading capacity by popular cationic nanocarriers. In this method, the fluorescence emission of the cationic nanocarrier + (dsRNA-DAPI) shows blue shift in comparison to that of dsRNA-DAPI.

Identification of key hub genes in knee osteoarthritis through integrated bioinformatics analysis.

Knee osteoarthritis (KOA) is a common chronic joint disease globally. Synovial inflammation plays a pivotal role in its pathogenesis, preceding cartilage damage. Identifying biomarkers in osteoarthritic synovial tissues holds promise for early diagnosis and targeted interventions.

MISP-mediated enhancement of pancreatic cancer growth through the Wnt/β-catenin signaling pathway is suppressed by Fisetin.

Pancreatic cancer is a highly malignant tumor characterized by high mortality and low survival rates. The mitotic interactor and substrate of Plk1 (MISP) is a cancer-associated protein that regulates mitotic spindle localization and is highly expressed in several malignant tumors, contributing to tumor development. However, the function and regulatory mechanisms of MISP in pancreatic cancer remain unclear.

Antimicrobial Resistance and Genomic Characterization of and Isolated from Retail Chickens in Beijing, China.

Objective species are the main causes of foodborne illness worldwide, posing significant threats to public health. This study aimed to investigate the antibiotic resistance and genomic characterization of / from retail chickens in Beijing. Methods Antimicrobial susceptibility testing was conducted on 126 / isolated from retail chickens in Beijing, following CLSI protocols.

Use of proteomics to elucidate characteristics of Cronobacter sakazakii under mild heat stress.

Cronobacter sakazakii is an opportunistic pathogen known for causing severe diseases. Mild heat treatment is commonly used in food processing, however, the pathogenic characteristics and underlying mechanisms of Cronobacter sakazakii strains remain poorly understood. In this study, we found that mild heat stress (MHS) at 52 °C can induce several deleterious effects in Cronobacter sakazakii, including damage to the cell wall, genomic DNA breakage, and misfolding of cytoplasmic proteins.

"Three-in-One": Ultrasensitive Lateral Flow Immunoassay Driven by Magnetic Enrichment and Photothermal Signal Amplification.

Conventional lateral flow immunoassay (LFIA) usually suffers from poor antimatrix interference, unsatisfactory sensitivity, and lack of quantitative ability for target analyte detection in food matrices. In response to these limits, here, multifunctional nanomaterial ZnFeO nanoparticles (ZFOs) were developed and integrated into LFIA for powerful magnetic separation/enrichment and colorimetric/photothermal target sensing. Under optimum conditions, the detection for clenbuterol (CL) with magnetic enrichment achieves 9-fold higher sensitivity compared to that without enrichment and 162-fold higher sensitivity compared to that based on traditional colloidal golds.

Artemvulactone E isolated from L. ameliorates lipopolysaccharide-induced inflammation in both RAW264.7 and zebrafish model.

Introduction: Natural plants are valuable resources for exploring new bioactive compounds. L. is a traditional Chinese medicinal herb that has been historically used for treating multiple diseases.

Prevalence, serotype, antimicrobial susceptibility, contamination factors, and control methods of Salmonella spp. in retail fresh fruits and vegetables: A systematic review and meta-analysis.

This research presents a comprehensive review of Salmonella presence in retail fresh fruits and vegetables from 2010 to 2023, utilizing data from recognized sources such as PubMed, Scopus, and Web of Science. The study incorporates a meta-analysis of prevalence, serovar distribution, antimicrobial susceptibility, and antimicrobial resistance genes (ARGs). Additionally, it scrutinizes the heterogeneous sources across various food categories and geographical regions The findings show a pooled prevalence of 2.

Caffeic acid and diabetic neuropathy: Investigating protective effects and insulin-like growth factor 1 (IGF-1)-related antioxidative and anti-inflammatory mechanisms in mice.

Diabetic neuropathy (DN) represents a common and debilitating complication of diabetes, affecting a significant proportion of patients. Despite available treatments focusing on symptom management, there remains an unmet need for therapies that address the underlying pathophysiology. In pursuit of novel interventions, this study evaluated the therapeutic effects of caffeic acid-a natural phenolic compound prevalent in various foods-on diabetic neuropathy using a mouse model, particularly examining its interaction with the Insulin-like Growth Factor 1 (IGF-1) signaling pathway.

Layer-By-Layer Designed Spark-Type AuCuPt Alloy with Robust Broadband Absorption to Enhance Sensitivity in Flexible Detection of Estriol by a Lateral Flow Immunoassay.

Excessive intake of estrogen poses significant health risks to the human body; hence, there is a necessity to develop rapid detection methods to monitor its levels of addition. Gold nanoparticles (AuNPs), commonly utilized as colorimetric signal labels, find extensive application in lateral flow immunoassay (LFIA). However, the detection sensitivity of traditional AuNPs-LFIA is typically constrained by low molar extinction coefficients and reliance on a single signal.

Detection methods for antibiotics in wastewater: a review.

Antibiotics are widely used as fungicides because of their antibacterial and bactericidal effects. However, it is necessary to control their dosage. If the amount of antbiotics is too much, it cannot be completely metabolized and absorbed, will pollute the environment, and have a great impact on human health.