Primary bronchial leiomyosarcoma: a diagnostic challenge.

Background: Pulmonary bronchial leiomyosarcoma is an extremely rare malignant tumour of the lung originating from the mesenchymal tissue. The retroperitoneal region is the most common site of leiomyosarcoma. It exhibits a high degree of malignancy and a poor prognosis, thereby highlighting the significance of early diagnosis of this disease.

hsa_circ_0008305 facilitates the malignant progression of hepatocellular carcinoma by regulating AKR1C3 expression and sponging miR-379-5p.

Circular RNAs (circRNAs) are widely involved in diverse biological processes of cancers. Nonetheless, the potential function of hsa_circ_0008305 in hepatocellular carcinoma (HCC) remains largely unknown. This study aims to elucidate the role and underlying mechanism of hsa_circ_0008305 in HCC.

Silibinin alleviates acute liver failure by modulating AKT/GSK3β/Nrf2/GPX4 pathway.

Silibinin (Sil) is a major bioactive component of silymarin, extracted from the fruit and seeds of Silybum marianum. Silibinin meglumine (SM) is a water-soluble derivative of silibinin that has shown significant potential in liver fibrosis. However, the potential effects and underlying mechanisms of SM on acute liver failure (ALF) are still not fully understood.

Development of Tc-Labeled Complexes with a Niraparib HYNIC Derivative for PARP-Positive Tumor Imaging.

As an enzyme that plays an important role in DNA repair, poly(ADP-ribose) polymerase-1 (PARP-1) has become a popular target for cancer therapy. Nuclear medicine molecular imaging technology, supplemented by radiolabeled PARP-1 inhibitors, can accurately determine the expression level of PARP-1 at lesion sites to help patients choose an appropriate treatment plan. In this work, niraparib was modified with a hydrazinonicotinamide (HYNIC) group to generate the ligand NPBHYNIC, which has an affinity (IC) of 450.

Design and Construction of a Porphyrin-Based Samarium(III)-Metal-Organic Framework for Antibiotic Detection.

Porphyrins bearing the unique 18π electron tetrapyrrolic macrocycles exhibit interesting photophysical and photochemical properties and have been considered as promising ligands for the construction of functionalized metal-organic frameworks (MOFs). The combination of porphyrin-type ligands with lanthanide metals featured with diverse coordination environments to realize the novel functions as well as the diversity of the MOF is thus attractive but challenging. Herein, an unprecedented porphyrin-based samarium MOF (Sm-BCPP) composed of a 5,10-bis(4-carboxyphenyl)-10,20-diphenyl porphyrin (HBCPP) ligand and samarium-formed one-dimensional clusters has been constructed via a solvothermal approach, and the synthesized Sm-BCPP has excellent chemical stabilities, exhibiting red luminescence.

Living Cell-Mediated Self-Assembly: From Monomer Design and Morphology Regulation to Biomedical Applications.

The self-assembly of molecules into highly ordered architectures is a ubiquitous and natural process, wherein molecules spontaneously organize into large structures to perform diverse functions. Drawing inspiration from the formation of natural nanostructures, cell-mediated self-assembly has been developed to create functional assemblies both inside and outside living cells. These techniques have been employed to regulate the cellular world by leveraging the dynamic intracellular and extracellular microenvironment.

Targeting Synthesis of Diatomic Catalysts by Selective Etching and Sequential Adsorption of Metal Atom.

Diatomic catalysts featuring a tunable structure and synergetic effects hold great promise for various reactions. However, their precise construction with specific configurations and diverse metal combinations is still challenging. Here, a selective etching and metal ion adsorption strategy is proposed to accurately assign a second metal atom (M) geminal to the single atom site (M-N) for constructing diatomic sites (e.

Impurity detection of premium green tea based on improved lightweight deep learning model.

Tea may be mixed with impurities during picking and processing, which can lower their quality. At present, the sorting of impurities in premium green tea mainly relies on manual labor, which is inefficient. In response to the technical challenges in this industry, this article uses deep learning technology to detect impurities in premium green tea.

One-pot ligation of multiple mRNA fragments on dsDNA splint advancing regional modification and translation.

Region-specific RNA modifications are crucial for advancing RNA research and therapeutics, including messenger RNA (mRNA)-based vaccines and immunotherapy. However, the predominant method, synthesizing regionally modified mRNAs with short single-stranded DNA (ssDNA) splints, encounters challenges in ligating long mRNA fragments due to the formation of RNA self-folded complex structures. To address this issue, we developed an efficient strategy using an easily obtained long double-stranded DNA (dsDNA) as a ligation splint after in situ denaturing, while parts of this dsDNA are the templates for transcribing mRNA fragments.

Imaged capillary isoelectric focusing and online mass spectrometry for milk whey protein characterization in dairy products.

Characterizing major bovine milk proteins, including whey and casein, is of significant interest in the dairy industry. The diverse array of protein proteoforms can be different in terms of genetic variation, breed ways, lactation stage, and animal nutritional status. Current routine methods for bovine milk protein profiling are typically based on immunological techniques, infrared spectroscopy, slab gel isoelectric focusing, capillary electrophoresis, and high-performance liquid chromatography.

Ultrafast, Robust, and Reversible Self-Assembled Nanofibers via Thiolactone Chemistry Strategy.

Self-assembly in supramolecular chemistry is crucial for nanostructure creation but faces challenges like slow speeds and lack of reversibility. In this study, a novel comb-like polymer poly(amide sulfide) (PAS) based on thiolactone chemistry is reported, which rapidly self-assemble into stable nanofibers, offering excellent robustness and reversibility in the self-assembled structure. The PAS backbone contains pairs of amide bonds, each linked to an alkyl side chain in a controlled 2:1 ratio.

Metal-Protein Hybrid Materials: Unlocking New Frontiers in Biomedical Applications.

Metal-protein hybrid materials represent a novel class of functional materials that exhibit exceptional physicochemical properties and tunable structures, rendering them remarkable applications in diverse fields, including materials engineering, biocatalysis, biosensing, and biomedicine. The design and development of multifunctional and biocompatible metal-protein hybrid materials have been the subject of extensive research and a key aspiration for practical applications in clinical settings. This review provides a comprehensive analysis of the design strategies, intrinsic properties, and biomedical applications of these hybrid materials, with a specific emphasis on their potential in cancer therapy, drug and vaccine delivery, antibacterial treatments, and tissue regeneration.

Molecular Ferroelectrics for Highly Sensitive Detection Toward Low-Frequency Sound Recognition.

Human hearing cannot sensitively detect sounds below 100 Hz, which can affect the physical well-being and lead to dizziness, headaches, and nausea. Piezoelectric acoustic sensors still lack sensitivity to low-frequency sounds owing to the low piezoelectric coefficient or high elastic modulus of materials. The low elastic modulus and substantial piezoelectric coefficient of molecular ferroelectric materials make them excellent candidates for acoustic sensors.

Construction of Multiple Nonpolar SF Nano-Traps by Highly Stable Pyrazole-Based MOFs for SF Recovery.

Sulfur hexafluoride (SF), widely used in electric power systems, is one of the most potent greenhouse gases. Efficient separation of SF/N by adsorptive separation technology based on porous materials is of great significance in the industry yet remains a daunting challenge. Herein, a novel strategy is introduced to construct unique pore channels with multiple SF nano-traps by precisely selecting bipyrazole ligands to design the nonpolar surface of microporous metal-organic frameworks (MOFs), which significantly enhances the material's affinity for SF.

Formation Dynamics of Thermally Stable 1D/3D Perovskite Interfaces for High-Performance Photovoltaics.

Direct understanding of the formation and crystallization of low-dimensional (LD) perovskites with varying dimensionalities employing the same bulky cations can offer insights into LD perovskites and their heterostructures with 3D perovskites. In this study, the secondary amine cation of N-methyl-1-(naphthalen-1-yl)methylammonium (M-NMA) and the formation dynamics of its corresponding LD perovskite are investigated. The intermolecular π-π stacking of M-NMA and their connection with inorganic PbI octahedrons within the product structures control the formation of LD perovskite.

Investigating the Role of Aniline Structure in Improving Proton Exchange Membranes for High Conductivity.

Polybenzothiazole exhibits high proton conductivity; however, its rigid backbone limits its applicability, necessitating processes such as modification or doping. The aniline structure can participate in various reactions, including nucleophilic or electrophilic substitution reactions, salt formation, and acylation reactions. In this experiment, an aniline structure is integrated into the main chain of sulfonated polybenzothiazole to investigate the potential of aniline for enhancing proton exchange membranes.

The Effects of Resonance Frequency Breathing on Cardiovascular System and Brain-Cardiopulmonary Interactions.

Resonance frequency (RF) is characterized as the specific frequency at which a system, equipped with delayed self-correction or negative feedback mechanisms, exhibits maximal amplitude oscillations in response to an external stimulus of a particular frequency. Emerging evidence suggests that the cardiovascular system has an inherent RF, and that breathing at this frequency can markedly enhance health and cardiovascular function. However, the efficacy of resonance frequency breathing (RFB) and the specific responses of the cardiovascular, respiratory, and central nervous systems during RFB remain unclear.

Transcriptionally downregulated GABAergic genes associated with synaptic density network dysfunction in temporal lobe epilepsy.

Purpose: Temporal lobe epilepsy (TLE) is a brain network disorder closely associated with synaptic loss and has a genetic basis. However, the in vivo whole-brain synaptic changes at the network-level and the underlying gene expression patterns in patients with TLE remain unclear.

Methods: In this study, we utilized a positron emission tomography with the synaptic vesicle glycoprotein 2 A radioligand [F]SynVesT-1 cohort and two independent transcriptome datasets to investigate the topological properties of the synaptic density similarity network (SDSN) in TLE and its correlation with significantly dysregulated risk genes.

The effects of climate change on mental health and psychological well-being: Impacts and priority actions.

Climate anxiety has a negative impact on the mental health and psychological well-being of the vulnerable population. The goal is to assess many factors that affect mental health and psychological well-being, as well as how climate change affects mental health in Pakistan's vulnerable population. This study provides evidence-based insights into the long- and medium-term impacts of extreme weather events on mental health.

Prognostic value and immune landscapes of disulfidptosis‑related lncRNAs in bladder cancer.

Disulfidptosis, which was recently identified, has shown promise as a potential cancer treatment. Nonetheless, the precise role of long non-coding RNAs (lncRNAs) in this phenomenon is currently unclear. To elucidate their significance in bladder cancer (BLCA), a signature of disulfidptosis-related lncRNAs (DRlncRNAs) was developed and their potential prognostic significance was explored.

Prognostic effect of CEA, AFP, CA19‑9 and CA242 for recurrence/metastasis of gastric cancer following radical gastrectomy.

The present study aimed to determine the potential of carcinoembryonic antigen (CEA), alpha-fetoprotein (AFP), carbohydrate antigen (CA)19-9 and CA242 in predicting recurrence/metastasis of gastric cancer in patients following radical gastrectomy. The clinical data of 368 patients with stage I-III gastric cancer who underwent radical gastrectomy were analyzed, and CEA, AFP, CA19-9 and CA242 levels were detected prior to surgery and 6-12 months following surgery. Univariate and multivariate analyses were used to evaluate the potential risk factors for post-operative recurrence/metastasis of gastric cancer, and the predictive value of CEA, AFP, CA19-9 and CA242 levels was evaluated using receiver operating characteristic (ROC) curve and area under the curve (AUC).

Efficacy and safety of anlotinib combined with vinorelbine as second‑line treatment for elderly patients with advanced squamous cell lung carcinoma: A retrospective cohort.

The aim of the present study was to investigate the efficacy and safety of anlotinib combined with vinorelbine (NVB) as a second-line treatment for elderly patients with advanced squamous cell lung carcinoma (SqCLC). The present retrospective analysis included 48 elderly patients (aged ≥65 years) diagnosed with advanced SqCLC who received anlotinib in combination with NVB as a second-line therapy between January 2021 and December 2023. The primary endpoints assessed were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR) and safety profile.

Identification of amino acid metabolism‑related genes as diagnostic and prognostic biomarkers in sepsis through machine learning.

Previous research has highlighted the critical role of amino acid metabolism (AAM) in the pathophysiology of sepsis. The present study aimed to explore the potential diagnostic and prognostic value of AAM-related genes (AAMGs) in sepsis, as well as their underlying molecular mechanisms. Gene expression profiles from the Gene Expression Omnibus (GSE65682, GSE185263 and GSE154918 datasets) were analyzed.

Conductive hydrogels: intelligent dressings for monitoring and healing chronic wounds.

Conductive hydrogels (CHs) represent a burgeoning class of intelligent wound dressings, providing innovative strategies for chronic wound repair and monitoring. Notably, CHs excel in promoting cell migration and proliferation, exhibit powerful antibacterial and anti-inflammatory properties, and enhance collagen deposition and angiogenesis. These capabilities, combined with real-time monitoring functions, play a pivotal role in accelerating collagen synthesis, angiogenesis and continuous wound surveillance.

Hollow core-shell heterojunction TAPB-COF@ZnInS as highly efficient photocatalysts for carbon dioxide reduction.

The conversion of carbon dioxide (CO) into carbon-neutral fuels using solar energy is crucial for achieving energy sustainability. However, the high carrier charge recombination and low CO adsorption capacity of the photocatalysts present significant challenges. In this paper, a TAPB-COF@ZnInS-30 (TAPB-COFZ-30) heterojunction photocatalyst was constructed by growth of ZnInS (ZIS) on a hollow covalent organic framework (HCOF) with a hollow core-shell structure for CO to CO conversion.