Infiltrating plasma cells maintain glioblastoma stem cells through IgG-Tumor binding.

Glioblastoma is a highly aggressive primary brain tumor with glioblastoma stem cells (GSCs) enforcing the intra-tumoral hierarchy. Plasma cells (PCs) are critical effectors of the B-lineage immune system, but their roles in glioblastoma remain largely unexplored. Here, we leverage single-cell RNA and B cell receptor sequencing of tumor-infiltrating B-lineage cells and reveal that PCs are aberrantly enriched in the glioblastoma-infiltrating B-lineage population, experience low level of somatic hypermutation, and are associated with poor prognosis.

A self-assembled fluorescent nanoprobe recognized by FA1 site for specifically selecting HSA: Its applications in hemin detection, cell imaging and fluorescent tracing drug delivery.

As naturally essential biomacromolecule, HSA has become diagnostic indicators for various diseases and universal carriers for anticancer drug delivery, therefore, fluorescence detection and labeling for HSA possess significant application value in the biomedical field. In this paper, hydrazide Schiff base fluorescent probe NDQC was designed and synthesized, which self-assembled into nanoparticles in aqueous solution system and demonstrated excellent selectivity and sensitivity towards HSA. Through displacement assay and molecular docking simulation, the binding of NDQC with HSA in FA1 site was demonstrated, thereby no obvious fluorescence signal presented for homologous protein BSA due to their structural differences in binding site.

Evaluation of water environmental capacity in a northern river-reservoir continuum using environmental fluid dynamics code.

The hydrodynamics, water temperature, and water quality model for the Dan River and Renzhuang Reservoir continuum were developed using field monitoring data and the Environmental Fluid Dynamics Code (EFDC). An in-situ water discharge experiment enabled the calculation of water propagation time using a simulated flood progression method and the hydrodynamics module of EFDC. Based on these model results, degradation coefficients for chemical oxygen demand, biochemical oxygen demand, nitrogen (N), phosphorus (P), fluoride, arsenic were determined, revealing significantly higher values when the wetland barrage was opening.

Contrasting effects of arsenic on mycorrhizal-mediated silicon and phosphorus uptake by rice.

Silicon (Si) and arbuscular mycorrhizal fungi (AMF) increase plant resistance to various environmental stresses, including heavy metal (and metalloid) toxicity. Although Si and AMF each independently enhance plant tolerance, the nature of their interactions and their combined impacts on nutrient uptake, especially in the context of toxic elements such as arsenic (As), remains to be elucidated. This study investigated AMF-mediated regulation of plant nutrient uptake under As stress using rice, a model Si-accumulating plant.

Habitat radiomics based on CT images to predict survival and immune status in hepatocellular carcinoma, a multi-cohort validation study.

Background And Objective: Though several clinicopathological features are identified as prognostic indicators, potentially prognostic radiomic models are expected to preoperatively and noninvasively predict survival for HCC. Traditional radiomic models are lacking in a consideration for intratumoral regional heterogeneity. The study aimed to establish and validate the predictive power of multiple habitat radiomic models in predicting prognosis of hepatocellular carcinoma (HCC).

Dynamic transformation and leaching processes of nitrogen in a karst agricultural soil under simulated rainfall conditions.

Frequent exchange of surface water and groundwater in karst agricultural areas results in soil nutrient loss during rainfall and consequent deterioration of the aquatic environment. To understand nitrogen (N) transformation and leaching processes from karst soil during rainfall events, two typical N fertilizers were added to karst soil and consequently investigated the nitrogenous species using soil column experiments system. The contents of various N forms in the soil and leachate were analyzed, and the net nitrification and the N leaching rates were calculated.

β-cyclodextrin polymers as a new sorbent for solid-phase extraction of xenobiotics in Urine.

This study systematically assessed the performance of a newly developed solid-phase extraction (SPE) material, cellulose-supported aminated β-cyclodextrin polymer (amine-β-CDP@Cellulose), in determining 44 xenobiotics, encompassing endocrine-disrupting chemicals (EDCs), pharmaceuticals, and food additives in urine samples. The primary objective of the research was to synthesize a new sorbent, optimize the extraction protocol, and elucidate the underlying adsorption and desorption mechanisms. Following optimization, it was observed that amine-β-CDP@Cellulose achieved recoveries ranging from 80 % to 120 % for 28 of the 44 targeted xenobiotics, with only three compounds showing recoveries below 50 %.

FcγRI plays a pro-inflammatory role in the immune response to Chlamydia respiratory infection by upregulating dendritic cell-related genes.

Background: FcγRI, a pivotal cell surface receptor, is implicated in diverse immune responses and is ubiquitously expressed on numerous immune cells. However, its role in intracellular bacterial infections remains understudied.

Methods: Wild-type (WT) and FcγRI knockout (FcγRI-KO) mice were inoculated intranasally with a specific dose of C.

Temperature-sensitive driving assembled fluorescence hydrogel based dual-mode sensor for adsorbing and detecting of heavy metal cadmium ions in food and water.

The denatured bovine serum albumin (dBSA) is coupled with the CdTe/CdS quantum dot and the resulting CdTe/CdS@dBSA complex is assembled and retained in the poly(n-isopropyl acrylamide) (PNIPAM) hydrogel via regulating temperature and pH to form the CdTe/CdS@dBSA-PNIPAM fluorescence hydrogel substrate, which is able to adsorb and sense cadmium ions (Cd). Based on this fluorescence hydrogel, a fluorescence and colorimetric dual-mode detection system is established to quantitatively detect Cd with a limit of detection (LOD) of 2.88 nM for fluorescence detection and 11.

The discrepancy in amino acids within high-temperature Daqu: A novel metabolic marker for the quality evaluation of Daqu.

Mechanical pressing in Daqu production has introduced quality-affecting variations. Up to now, clear elucidation has not yet been applied to the mechanisms behind this phenomenon, and the determinants of Daqu quality are not yet completely excavated. For this reason, the physicochemical factors, enzyme activity, metabolites, and microbial communities were compared between the mechanical Daqu (MDQ) and traditional Daqu (TDQ) in this paper.

Perovskite retinomorphic image sensor for embodied intelligent vision.

Retinomorphic systems that can see, recognize, and respond to real-time environmental information will extend the complexity and range of tasks that an exoskeleton robot can perform to better assist physically disabled people. However, the lack of ultrasensitive, reconfigurable, and large-scale integratable retinomorphic devices and advanced edge-processing algorithms makes it difficult to realize retinomorphic hardware. Here, we report the retinomorphic hardware prototype with a 4096-pixel perovskite image sensor array as core module to endow embodied intelligent vision functionalities.

Precise Preparation of Size-Uniform Two-Dimensional Platelet Micelles Through Crystallization-Assisted Rapid Microphase Separation Using All-Bottlebrush-Type Block Copolymers with Crystalline Side Chains.

Polymer nanoparticles with low curvature, especially two-dimensional (2D) soft materials, are rich in functions and outstanding properties and have received extensive attention. Crystallization-driven self-assembly (CDSA) of linear semicrystalline block copolymers is currently a common method of constructing 2D platelets of uniform size. Although accompanied by high controllability, this CDSA method usually and inevitably requires a longer aging time and lower assembly concentration, limiting the large-scale preparation of nanoaggregates.

Ultrafast Synthesis of Oxygen Vacancy-Rich MgFeSiO Cathode to Boost Diffusion Kinetics for Rechargeable Magnesium-Ion Batteries.

Rechargeable magnesium ion batteries (RMBs) have drawn extensive attention due to their high theoretical volumetric capacity and low safety hazards. However, divalent Mg ions suffer sluggish mobility in cathodes owing to the high charge density and slow insertion/extraction kinetics. Herein, it is shown that an ultrafast nonequilibrium high-temperature shock (HTS) method with a high heating/quenching rate can instantly introduce oxygen vacancies into the olivine-structured MgFeSiO cathode (MgFeSiO-HTS) in seconds.

Therapeutic effect of fully human anti-Nrp-1 antibody on non-small cell lung cancer in vivo and in vitro.

Although immune checkpoint inhibitors have changed the treatment paradigm for non-small cell lung cancer (NSCLC), not all patients benefit from them. Therefore, there is an urgent need to explore novel immune checkpoint inhibitors. Neuropilin-1 (Nrp-1) is a unique immune checkpoint capable of exerting antitumor effects through CD8 T cells.

Gene Deficiency of δ Subunit-Containing GABA Receptor in mPFC Lead Learning and Memory Impairment in Mice.

Maintaining GABAergic inhibition within physiological limits in the medial prefrontal cortex (mPFC) is critical for working memory. While synaptic GABAR typically mediate the primary component of mPFC inhibition, the role of extrasynaptic δ-GABAR in working memory remains unclear. To investigate this, we used fiber photometry to examine the effects of δ-GABAR in freely moving mice.

Basic Science and Pathogenesis.

Background: Circular RNA represents a distinctive form of noncoding RNA resulting from back-splicing of exons and introns in mRNA. CircRNA has been shown play important roles in neurological diseases, such as Alzheimer's disease (AD). Some recent studies also have demonstrated circRNA is enriched in the mammal brain and differentially altered during AD.

Basic Science and Pathogenesis.

Background: This study aimed to explore the association between amyloid-β oligomerization tendency (OAβ) in plasma and cognitive performance in patients with Alzheimer's disease (AD) and further determine whether plasma OAβ could predict the outcomes of patients with mild cognitive impairment (MCI).

Method: The plasma from 727 subjects in a case registry was tested; these subjects included 286 AD patients, 260 MCI patients and 181 normal controls. The multimer detection system (MDS) was used to measure the plasma oligomeric form of Aβ levels.

Polymorphic Crystalline Layer at the Crystallization Front.

The morphology and kinetics of the crystal growth front have been poorly explored at the particle level. Here, we experimentally observe the crystal growth front in liquid with single-particle kinetics using colloid systems and reveal a surface layer of polymorphic crystal near the solid-solid transition when the two crystals form a low-energy coherent interface. The thickness of the surface crystal can exceed 50 particles and grows logarithmically with the temperature as approaching the solid-solid transition which follows premelting theory.

R(3780) Resonance Interpreted as the 1^{3}D_{1}-Wave Dominant State of Charmonium from Precise Measurements of the Cross Section of e^{+}e^{-}→Hadrons.

We report the precise measurements of the cross section of e^{+}e^{-}→hadrons at center-of-mass energies from 3.645 to 3.871 GeV.

H19/miR-484 axis serves as a candidate biomarker correlated with autism spectrum disorder.

Background: Autism spectrum disorder (ASD) appears to be a common neurological developmental deficit disorder in pediatric patients, resulting in a tremendous burden on society.

Purpose: The article aimed to explore early diagnostic markers for ASD.

Methods: Levels of long non-coding RNA (lncRNA) H19 and microRNA-484 (miR-484) were detected using fluorescence quantitative polymerase chain reaction (PCR).

Heteropolyacid Ligands in Two-Dimensional Channels Enable Lithium Separation from Monovalent Cations.

Extracting lithium from salt lakes requires ion-selective membranes with customizable nanochannels. However, it remains a major challenge to separate alkali cations due to their same valences and similar ionic radius. Inspired by the K channel of KcsA K, significant progress has been made in adjusting nanochannel size to control the ion selectivity dominated by alkali cations dehydration.

Competing Hexagonal and Square Lattices on a Spherical Surface.

The structural properties of packed soft-core particles provide a platform to understand the cross-pollinated physical concepts in solid-state and soft-matter physics. Confined on a spherical surface, the traditional differential geometry also dictates the overall defect properties in otherwise regular crystal lattices. Using molecular dynamics simulation of the Hertzian model as a tool, we report here the emergence of new types of disclination patterns: domain and counter-domain defects, when hexagonal and square patterns coexist.

Safety and efficacy of intraoperative radiation therapy using a low-energy X-ray source for resectable pancreatic cancer: an interim evaluation of an ongoing prospective phase II study.

Objective: The role of intraoperative radiation therapy (IORT) in the management of resectable pancreatic cancer (RPC) remains unclear. To date, the application of IORT using a low-energy X-ray source has not been extensively investigated. Therefore, this study was conducted to evaluate the safety and efficacy of IORT using a 50 kV X-ray source in treating RPC.

Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization.

Artificial intelligence (AI) is significantly advancing precision medicine, particularly in the fields of immunogenomics, radiomics, and pathomics. In immunogenomics, AI can process vast amounts of genomic and multi-omic data to identify biomarkers associated with immunotherapy responses and disease prognosis, thus providing strong support for personalized treatments. In radiomics, AI can analyze high-dimensional features from computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography/computed tomography (PET/CT) images to discover imaging biomarkers associated with tumor heterogeneity, treatment response, and disease progression, thereby enabling non-invasive, real-time assessments for personalized therapy.