Exploring the potential mechanism of Lamiophlomis rotata (Benth.) Kudo in treating acne through network pharmacology and experimental verification.

Ethnopharmacological Relevance: Lamiophlomis rotata (Benth.)Kudo(L. rotata), known in China as Duyiwei (DYW), is a well-known traditional Tibetan medicine.

Boosting the Efficiency of 1.84 eV Wide-Bandgap Perovskites Photovoltaics Beyond 19% via Yb Engineering.

Phase segregation remains one of the most critical challenges limiting the performance and long-term operational stability of wide-bandgap perovskite solar cells (PSCs). This issue is especially pronounced in 1.84 eV wide-bandgap (WBG) perovskites, where severe halide phase segregation leads to compositional heterogeneity and accelerated device degradation.

A multi-tissue single-cell expression atlas in cattle.

Systematic characterization of the molecular states of cells in livestock tissues is essential for understanding the cellular and genetic mechanisms underlying economically and ecologically important physiological traits. Here, as part of the Farm Animal Genotype-Tissue Expression (FarmGTEx) project, we describe a comprehensive reference map including 1,793,854 cells from 59 bovine tissues in calves and adult cattle, spanning both sexes, which reveals intra-tissue and inter-tissue cellular heterogeneity in gene expression, transcription factor regulation and intercellular communication. Integrative analysis with genetic variants that underpin bovine monogenic and complex traits uncovers cell types of relevance, such as spermatocytes, responsible for sperm motility and excitatory neurons for milk fat yield.

Long-term compost fertilization enhanced soil disease suppressiveness by fostering interactions between root exudates and the rhizosphere microbiome.

A comprehensive understanding of the interplay between agricultural practices and the rhizosphere microbiome particularly the role of root exudates is essential for harnessing microbial potential in sustainable agriculture. In this study, we investigated how disease-suppressive soil alters root exudate profiles in pepper plants and how these elevated exudates influence rhizosphere microbiome assembly and modulate the antagonistic activity of Bacillus methylotrophicus 400 (BM400) against Phytophthora capsici. GC-MS analysis identified distinct compositional profiles of root exudates in the disease-suppressive soil, with marked enrichment of seven compounds.

Transcriptome Reveals Molecular Characteristics and Immune Response in Triploid Cyprinid Fish Infected with a Novel Pathogenic Aeromonas sp. AS1-4.

Triploid cyprinid fish (TCF, 3N = 150) is a novel hybrid fish showing great disease resistance during aquaculture processes. However, the majority of Aeromonas strains act as opportunistic pathogens that can cause a variety of diseases and pose a notable health risk. In this investigation, a novel Aeromonas sp.

The SRC-TOPK positive feedback loop promotes RB1 phosphorylation and drives the development of lung squamous cell carcinoma.

Lung squamous cell carcinoma (LUSC) is a common subtype of non-small cell lung cancer, with limited treatment options and poor patient prognosis. Currently, common driver mutations in lung adenocarcinoma rarely occur in LUSC; the mutated genes found in LUSCs lack corresponding targeted drugs. Therefore, it is necessary to discover new therapeutic targets for LUSC and provide patients with more treatment options.

An antibacterial dual-network polyelectrolyte coating for orthopedic implant.

Bacterial infections, aseptic loosening, and poor osseointegration remain challenges for orthopedic implants. In this study, we developed a dual-network polyelectrolyte antibacterial coating for orthopedic implants to prevent bacterial infections. The coating was prepared via UV-triggered in situ polymerization, composed of polyethyleneimine (PEI) and polyacrylic acid (PAA), with enhanced mechanical properties due to electrostatic interactions between them.

Nanogel Loaded with Leaf-Derived Exosome-like Nanovesicles and Indomethacin for the Treatment of Inflammatory Arthritis.

Inflammatory arthritis (IA) is a chronic condition marked by joint dysfunction and pain, posing significant challenges for effective drug delivery. This study separated leaf-derived exosome-like nanovesicles (PFE) to effectively penetrate the stratum corneum barrier. These nanovesicles and indomethacin (IND) were subsequently developed into a nanogel designed for topical drug delivery systems (PFE-IND-GEL).

[Buyang Huanwu Decoction targets PPARG/SPP1/CD44 signaling pathway: mechanisms of lipid dysregulation and treatment in idiopathic pulmonary fibrosis].

Idiopathic pulmonary fibrosis(IPF) is a chronic progressive interstitial lung disease characterized by a complex pathogenesis and limited treatment options. Although studies have indicated that lipid metabolism dysregulation is associated with the progression of IPF, the core regulatory mechanisms remain unclear. By integrating RNA sequencing data from the GEO database, we identified four key genes related to lipid metabolism: peroxisome proliferator-activated receptor gamma(PPARG), secreted phosphoprotein 1(SPP1), caspase 3(CASP3), and platelet endothelial cell adhesion molecule 1(PECAM1).

Highly sensitive and selective ratiometric fluorescence detection of ATP using aptamer-functionalized FeO nanozymes with tunable activity.

Herein, a highly sensitive and selective ratiometric fluorescence platform was constructed for probing adenosine triphosphate (ATP) for the first time by using magnetic FeO nanozymes that were modified by ATP-specific aptamer labeled with 7-Amino-4-methyl-3-coumarinylacetic acid (Apt-AMCA) to yield FeO@Apt-AMCA. It was discovered that the incorporation of Apt-AMCA greatly enhance the peroxidase-like activity of FeO nanozymes, which might catalyze more o-phenylenediamine (OPD) substrates into fluorescent oxidized OPD (DAP) with a emission of 560 nm. More importantly, upon ATP addition, Apt-AMCA could potentially be released from FeO@Apt-AMCA because of Apt-target binding and the competition between ATP and Apt.

RIPPLY1 suppresses cancer cell stemness via targeting TBX19 in CTNNB1-mutated hepatocellular carcinoma.

Background Aims: CTNNB1-mutated HCCs exhibit a relatively low stem-like and well-differentiated phenotype. However, the mechanism remains unclear. Ripply transcriptional repressor 1 (RIPPLY1), a transcriptional repressor required for somite segmentation, has hardly been studied in cancer.

Primary endobronchial epithelial-myoepithelial carcinoma: A case report and literature review.

Pulmonary epithelial-myoepithelial carcinoma (P-EMC) is a rare type of salivary gland tumour of the lung. Due to its rarity and lack of long-term follow-up data, there is no established standard for optimal treatment or duration of follow-up. The present study reports the case of a 58-year-old female patient with P-EMC originating from the middle part of the bronchus and presenting as an endobronchial mass in the left superior lobe.

Hurricane Exposure and Risk of Long-Term Cardiovascular Disease Outcomes.

Importance: Hurricanes are associated with increased cardiovascular disease (CVD) risk, yet little is known about whether these risks extend into the long term and for how long.

Objective: To examine the association between hurricane-related flooding and CVD risk up to 5 years after landfall.

Design, Setting, And Participants: This cohort study included a 20% national sample of continuously enrolled Medicare fee-for-service beneficiaries from New Jersey, New York City, and Connecticut from January 1, 2010, to December 31, 2017.

Therapeutic Effect of a Composite Acellular Matrix/Hyaluronic Acid Thermosensitive Hydrogel for the Interstitial Cystitis/Bladder Pain Syndrome in a Rat Model.

This study investigated the therapeutic effects of a composite small intestinal submucosa decellularized extracellular matrix/hyaluronic acid (HA)-incorporated thermosensitive hydrogel (HA-Gel) on interstitial cystitis (IC) in rats. The HA-Gel was fabricated using rabbit small intestinal submucosa-derived extracellular matrix as a thermosensitive scaffold combined with HA, and an IC rat model was established using the UPK3A65-84 peptide. Rats were divided into five groups: IC group, IC + HA group, IC + Gel group, IC + HA-Gel group, and a non-modeled control group.

Screening Candidates for Conversion Therapy in Unresectable Hepatocellular Carcinoma Patients After Tyrosine Kinase Inhibitor Plus PD-1/PD-L1 Antibody Therapy: A Multicenter Retrospective Study.

Background: Conversion therapies after immune checkpoint inhibitors (ICIs) plus tyrosine-kinase inhibitors (TKIs) provide curative surgery chance and prolong survival for unresectable hepatocellular carcinoma (uHCC). However, only some patients have the opportunity to receive conversion therapies. To this end, we aimed to develop and validate a machine-learning model to identify patients who may have the chance to undergo conversion therapy.

Association analysis of intratumoral metabolic heterogeneity assessed by the hottest lesion based on F-FDG PET/CT with immunochemotherapy response in diffuse large B-cell lymphoma.

Background: Intratumoral metabolic heterogeneity (MH) assessed by 18-fluorine fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) has been recognized as a potential marker for chemotherapy resistance in solid tumors. However, research on MH in diffuse large B-cell lymphoma (DLBCL) is limited, and its specific relationship with the response to immunochemotherapy (IC) remains unclear. The objective of this study was to investigate optimal approaches for assessing intratumoral MH, and to analyze the association between PET/CT-based MH and end of treatment (EOT) response to IC in DLBCL.

Argon-based geochronology: advances, limitations and perspectives.

Given that K constitutes about 3 wt.% of Earth's crust and is present in most rock-forming minerals, and that Ar diffusion in minerals is temperature-dependent, Ar-based geochronology (Ar/Ar and K-Ar dating) can date most rocks and also reveal their thermal history. This paper reviews recent advances and longstanding limitations in Ar/Ar and K-Ar geochronology, and provides perspectives into future research on Ar-based geochronometers.

A hybrid q-rung linear diophantine fuzzy WASPAS approach for artificial intelligence algorithm selection in physical education.

The growing use of artificial intelligence (AI) in physical education (PE) has led to an urgent need to develop robust methodologies that can be used to choose the most suitable algorithms in uncertain and vague environments. This paper introduces a new hybrid decision-making (DM) model that incorporates the weighted aggregated sum product assessment (WASPAS) technique into the q-rung linear Diophantine fuzzy set (q-RLDFS) framework. The primary objective is to address the gap in the lack of structured and uncertainty-resistant methods for assessing AI models based on multiple, frequently conflicting criteria in the domain of PE.

Dual-phase Hog1 activation and transporter gene reprogramming enable extreme sugar tolerance in food osmophilic yeasts.

The protein kinase Hog1 plays a central role in cellular responses, including cell volume and gene expression regulation during osmoregulation in the model yeast Saccharomyces cerevisiae. Despite sharing the conserved kinase Hog1 for osmotic response, Zygosaccharomyces rouxii and S. cerevisiae exhibit markedly different sugar resistance.

Acid-Alkaline Double Electrolytes for High-Energy Aqueous Proton Batteries.

Aqueous proton batteries offer a promising energy storage solution due to their inherent safety, rapid ion mobility, and low cost. However, their performance is largely constrained by water's limited electrochemical stability, restricting operating voltage and energy density. This study addresses this challenge by introducing an innovative acid-alkaline double electrolyte configuration to achieve high-voltage aqueous proton batteries.

High-efficient refolding and purification of recombinant human interleukin-2 from inclusion bodies.

Human interleukin-2 (hIL-2) serves as a crucial cytokine in the treatment of cancer and autoimmune disorders. Nevertheless, the advancement of research and clinical applications involving this cytokine has been hindered by the constraints associated with the production of recombinant human interleukin-2 (rhIL-2). This study presents a scalable and robust purification protocol for rhIL-2 derived from inclusion bodies (IBs) in Escherichia coli.

Dysregulation of SUSD2-CLDN18.2-mediated cell adhesion contributes to lung adenocarcinoma progression associated with chronic low-dose nanoplastics exposure.

Emerging evidence suggests that inhaled microplastics (MPs) and nanoplastics (NPs), which can accumulate in the lungs, may exacerbate pulmonary diseases. Due to their small size, high surface reactivity, and ability to penetrate deep into respiratory tissues, NPs are particularly prone to inducing adverse biological effects that may be closely linked to lung cancer. However, the role of long-term NP accumulation in lung cancer progression and the underlying mechanisms remain poorly understood.

A Review of Avian Influenza Virus Exposure Patterns and Risks Among Occupational Populations.

Avian influenza viruses (AIVs) pose significant risks to occupational populations engaged in poultry farming, livestock handling, and live poultry market operations due to frequent exposure to infected animals and contaminated environments. This review synthesizes evidence on AIV exposure patterns and risk factors through a comprehensive analysis of viral characteristics, host dynamics, environmental influences, and human behaviors. The main routes of transmission include direct animal contact, respiratory contact during slaughter/milking, and environmental contamination (aerosols, raw milk, shared equipment).

SimID: Wi-Fi-Based Few-Shot Cross-Domain User Recognition with Identity Similarity Learning.

In recent years, indoor user identification via Wi-Fi signals has emerged as a vibrant research area in smart homes and the Internet of Things, thanks to its privacy preservation, immunity to lighting conditions, and ease of large-scale deployment. Conventional deep-learning classifiers, however, suffer from poor generalization and demand extensive pre-collected data for every new scenario. To overcome these limitations, we introduce SimID, a few-shot Wi-Fi user recognition framework based on identity-similarity learning rather than conventional classification.