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Exploring how deep learning decodes anomalous diffusion via Grad-CAM

Phosphorylation of SF3B1 by CDK11 orchestrates spliceosome activation via SNIP1-dependent RES complex recruitment

Cardiomyocyte-derived GPX4 stabilizes BNIP3 to facilitate mitophagy and mitigate myocardial ischemia/reperfusion injury

Multi-field coupling enhanced plasmonic Moδ+ active site to efficiently hydrolyze ammonia borane

The expression pattern of EXO70 subunits in single-cell stereo-seq of Arabidopsis thaliana leaves using coexistence network analysis

Harnessing natural sunlight indoors: sensor-regulated therapeutic approach to enhance vitamin D status in humans

Interactive effects of diurnal temperature range and air pollution on myocardial infarction incidence: an individual-level case-crossover study

Insulator string defect detection method for transmission lines based on image color analysis and multi-scale feature compensation

Integrated ATC enhancement and load growth forecasting via WOA-based optimal DSTATCOM placement

Prognostic performance of clinical scores and biomarkers in nonagenarians after TAVR requiring ICU admission

Interaction between high-sensitivity C-reactive protein and mean platelet volume for 1-year major adverse cardiovascular events in stable coronary artery disease

Diamond-DETR: lightweight real-time quality evaluation algorithm for synthetic diamonds

Sustainable production of cellulose nanocrystals from sugarcane bagasse via statistically optimized acid hydrolysis

Laser fluence dependent antibacterial activity of cadmium sulfide quantum dots prepared by one step laser ablation in liquid

Differentiating the thermal effects of land use change and functional intensity dynamics in Beijing

Tailoring the emission color in Sm3+/Li+-doped calcium hydroxyapatite nanocrystals: a path toward cryogenic luminescent thermosensors

Value-added assessment of career planning for vocational competence based on deep learning

Dietary behaviors, energy intake, and assessment of school lunch consumption in Thai children with autism

Molecular identification, characterization and antibacterial activity of fungal-mediated silver nanoparticles against Bacillus subtilis sh3 and Klebsiella pneumoniae sh4

Abstract The increasing prevalence of multidrug-resistant bacteria has created a determined need for new antimicrobial approaches. In the present study, Fusarium oxysporum SH1 was utilized as a biological source for the green synthesis of silver nanoparticles through its extracellular metabolites. The produced nanoparticles were confirmed to form within the nanoscale range and exhibited stable physicochemical characteristics. They showed clear antibacterial activity against two multidrug-resistant clinical isolates, Bacillus subtilis sh3 and Klebsiella pneumoniae sh4, with low minimum inhibitory concentrations. In addition, combining the nanoparticles with commonly used antibiotics enhanced the inhibition zones compared with the use of either agent alone, indicating a measurable improvement in antibacterial performance. The biosynthesized nanoparticles also demonstrated selective cytotoxic effects when tested on human cell lines. MCF7 breast cancer cells exhibited a markedly lower IC 50 value than normal HFB4 melanocytes, and treatment was associated with distinct morphological alterations indicative of compromised cell structure. These findings indicate a stronger growth-inhibitory effect on malignant cells under the tested conditions. Generally, this study presents a straightforward and eco-friendly method for producing biologically active silver nanoparticles using F. oxysporum SH1. The nanoparticles displayed dual biological functions as antibacterial activity against resistant pathogens and selective cytotoxicity toward cancer cells. These experimentally supported observations suggest that fungal-mediated silver nanoparticles represent a promising candidate for further investigation in antimicrobial and anticancer applications.

Microinjection of CART peptide into the nucleus accumbens medial shell attenuates methamphetamine-induced anxiety-like behaviors via restoration of GABAB receptor membrane expression

Abstract Methamphetamine (METH) abuse often leads to anxiety-like behaviors, and the cocaine- and amphetamine-regulated transcript (CART) peptide, which is abundant in the nucleus accumbens (NAc), has shown promise in mitigating behavioral effects of psychostimulants. However, the role of CART peptide in the NAc medial shell in METH-induced anxiety remains poorly understood. In this study, following METH withdrawal and reinstatement, rats exhibited significant anxiety-like behaviors. Immunofluorescence analysis revealed a substantial increase in the proportion of c-Fos⁺/NeuN⁺ and CART⁺/NeuN⁺ cells within the NAc medial shell. Western blot and immunofluorescence consistently showed upregulated CART peptide expression and reduced gamma aminobutyric acid type B receptor (GABA B R) levels in this region. Further immunofluorescence staining confirmed decreased GABA B R expression specifically within CART-positive neurons. Microinjection of CART peptide into the NAc medial shell attenuated METH-induced anxiety-like behaviors, normalized the hyperactivity of neurons, and restored GABA B R expression to baseline levels. Molecular docking and co-immunoprecipitation suggest a potential interaction between CART and GABA B R. These protective effects were abolished by the GABA B R antagonist CGP55845. Overall, our findings demonstrate that CART peptide delivery into the NAc medial shell alleviates METH-induced anxiety-like behaviors by rescuing GABA B R membrane expression, highlighting a potential therapeutic pathway for METH-related anxiety.