pH-Responsive carrier-free nanoparticles based on teicoplanin and borneol for enhanced MRSA infectious wound healing.

Bacterial infections severely threaten human health, and the drug resistance induced by long-term high-dose antibiotic use is a critical issue, which necessitates new antibacterial strategies. In this study, pH-responsive carrier-free nanoparticles (BF-TEI NPs) are fabricated based on the Schiff-base bonding between the hydrophilic antibiotic teicoplanin (TEI) and the hydrophobic antibacterial borneol 4-formylbenzoate (BF). Self-assembled BF-TEI NPs enable synchronous release of BF and TEI in infected sites for synergistic antibacterial effects acidic microenvironment-triggered Schiff-base bond cleavage.

Synergistic effects of borneol and zwitterionic coating on enhanced antimicrobial and anti-biofilm performance.

Infections caused by microorganisms on the surfaces of medical implants and devices represent a significant challenge in the field of medicine. At present, a considerable number of antimicrobial coatings have been developed with the objective of preventing bacterial contamination. However, the problem of mold contamination is often underestimated.

Development and validation of a preoperative magnetic resonance imaging-based and machine learning model for the noninvasive differentiation of intracranial glioblastoma, primary central nervous system lymphoma and brain metastases: a retrospective analysis.

Background: Accurate preoperative identification of intracranial glioblastoma (GB), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) is crucial for determining the appropriate treatment strategy.

Purpose: We aimed to develop and validate the utility of preoperative magnetic resonance imaging-based radiomics and machine learning models for the noninvasive identification them. STUDY TYPE: Retrospective.

The impact of prolonged high-concentration cortisol exposure on cognitive function and risk factors: Evidence from Cushing's disease patients.

Background: Prolonged high-concentration cortisol exposure may impair cognitive function, but its mechanisms and risk factors remain unclear in humans.

Objective: Using Cushing's disease patients as a model, this study explores these effects and develops a predictive model to aid in managing high-risk patients.

Methods: This single-center retrospective study included 107 Cushing's disease patients (January 2020-January 2024) at the First Medical Center of the PLA General Hospital.

The surgical strategy and technical nuances of side-to-side bypass for the management of complex intracranial aneurysms.

Background: Despite continuous advances in microsurgical and endovascular techniques, the treatment of complex aneurysms remains challenging. Aneurysms that are dilemmatic for conventional clipping or endovascular coiling often require bypass as part of a strategy to reduce the risk of ischemic complications. In anatomically favorable sites, the intracranial-intracranial bypass may be an appealing choice.

Rapid detection of isocitrate dehydrogenase 1 mutation status in glioma based on Crispr-Cas12a.

The aim is to use Crispr-Cas12a for the rapid detection of the single nucleotide polymorphism (SNP) of isocitrate dehydrogenase 1 (IDH1)-R132H locus and explore the effectiveness and consistency of this method with direct sequencing method for detecting IDH1-R132H of glioma tissue samples. 58 previous frozen tissue and 46 recent fresh tissue samples of adult diffuse glioma were selected to detect IDH1-R132H using Crispr-Cas12a. The results of immunohistochemistry (IHC) and direct sequencing methods were analyzed.

Cerebral cortex and hippocampus neural interaction during vagus nerve stimulation under large-scale imaging.

Objective: The purpose of this study was to study mechanisms of VNS modulation from a single neuron perspective utilizing a practical observation platform with single neuron resolution and widefield, real-time imaging coupled with an animal model simultaneously exposing the cerebral cortex and the hippocampus.

Methods: We utilized the observation platform characterized of widefield of view, real-time imaging, and high spatiotemporal resolution to obtain the neuronal activities in the cerebral cortex and the hippocampus during VNS in awake states and under anesthesia.

Results: Some neurons in the hippocampus were tightly related to VNS modulation, and varied types of neurons showed distinct responses to VNS modulation.

Epidural Pulsation Accelerates the Drainage of Brain Interstitial Fluid.

Unhindered transportation of substances in the brain extracellular space (ECS) is essential for maintaining brain function. Regulation of transportation is a novel strategy for treating ECS blockage-related brain diseases, but few techniques have been developed to date. In this study, we established a novel approach for accelerating the drainage of brain interstitial fluid (ISF) in the ECS using minimally invasive surgery, in which a branch of the external carotid artery is separated and implanted epidurally (i.

Ecological Risks of Antibiotics in Urban Wetlands on the Qinghai-Tibet Plateau, China.

Although the ecological risks of antibiotics have been extensively researched globally, fewer studies have been conducted in sensitive and fragile plateau wetland ecosystems. To evaluate the ecological risk of antibiotics in plateau urban wetlands, 18 water samples, 10 plant samples, and 8 sediment samples were collected in March 2022 in the Xining urban wetlands on the Qinghai-Tibet Plateau. The liquid chromatography-electrospray ionization tandem mass spectrometry method was utilized to measure the concentrations of 15 antibiotics in three categories in three types of environmental media.

Deciphering the Biochemical Similarities and Differences Among Human Neuroglial Cells and Glioma Cells Using Fourier Transform Infrared Spectroscopy.

Background: The use of Fourier transform infrared spectroscopy to identify the peritumoral tissue of gliomas proves the potential of this technique to distinguish normal brain tissues from glioma tissues. However, due to the heterogeneity of gliomas, it is difficult to characterize the representative spectra of normal brain tissues and glioma tissues. The linear spectra of major cellular components, such as microglia, astrocytes, and glioma cells, were obtained to quantify the biochemical changes between healthy cells and tumor cells, and provide supporting data for the final distinction between tumor and normal brain tissue.

Grade classification of human glioma using a convolutional neural network based on mid-infrared spectroscopy mapping.

This study proposes a convolutional neural network (CNN)-based computer-aided diagnosis (CAD) system for the grade classification of human glioma by using mid-infrared (MIR) spectroscopic mappings. Through data augmentation of pixels recombination, the mappings in the training set increased almost 161 times relative to the original mappings. The pixels of the recombined mappings in the training set came from all of the one-dimensional (1D) vibrational spectroscopy of 62 (almost 80% of all 77 patients) patients at specific bands.

Isorhapontigenin ameliorates cerebral ischemia/reperfusion injury via modulating Kinase Cε/Nrf2/HO-1 signaling pathway.

Background: Isorhapontigenin (ISO) has been shown to have antioxidant activity. This study aimed to investigate the antioxidant effects of ISO on cerebral ischemia/reperfusion (I/R) injury and its possible molecular mechanisms.

Methods: Focal cerebral ischemia-reperfusion injury (MCAO/R) model and primary cortical neurons were established an oxygen-glucose deprivation (OGD / R) injury model.

Grade diagnosis of human glioma using Fourier transform infrared microscopy and artificial neural network.

The World Health Organization (WHO) grade diagnosis of cancer is essential for surgical outcomes and patient treatment. Traditional pathological grading diagnosis depends on dyes or other histological approaches, and the result interpretation highly relies on the pathologists, making the process time-consuming (>60 min, including the steps of dewaxing to water and H&E staining), resource-wasting, and labor-intensive. In the present study, we report an alternative workflow that combines the Fourier transform infrared (FTIR) microscopy and artificial neural network (ANN) to diagnose the grade of human glioma in a way that is faster (~20 min, including the processes of sample dewaxing, spectra acquisition and analysis), accurate (the prediction accuracy, specificity and sensitivity can reach above 99%), and without reagent.

Morphological and Biochemical Properties of Human Astrocytes, Microglia, Glioma, and Glioblastoma Cells Using Fourier Transform Infrared Spectroscopy.

BACKGROUND With infiltration, high-grade glioma easily causes the boundary between tumor tissue and adjacent tissue to become unclear and results in tumor recurrence at or near the resection margin according to the incomplete surgical resection. Fourier transform infrared spectroscopy (FTIR) technique has been demonstrated to be a useful tool that yields a molecular fingerprint and provides rapid, nondestructive, high-throughput and clinically relevant diagnostic information. MATERIAL AND METHODS FTIR was used to investigate the morphological and biochemical properties of human astrocytes (HA), microglia (HM1900), glioma cells (U87), and glioblastoma cells (BT325) cultured in vitro to simulate the infiltration area, with the use of multi-peak fitting and principal component analysis (PCA) of amide I of FTIR spectra and the use of hierarchical cluster analysis (HCA).

Intraoperative Computed Tomography (CT) for Treating Giant Carotid Intracavernous Aneurysms.

BACKGROUND Giant carotid intracavernous aneurysm refers to those lesions larger than 2.5 cm and derived from a cavernous segment, accounting for about 30% of all intracranial tumors. Dynamic CT perfusion imaging (PCT) is a common method recently employed to evaluate cerebral perfusion.