Genome-wide CRISPR-based screen identifies E2F transcription factor 1 as a regulator and therapeutic target of aristolochic acid-induced nephrotoxicity.

Aristolochic Acid I (AAI) is widely present in traditional Chinese medicines derived from the Aristolochia genus and is known to cause significant damage to renal tubular epithelial cells. Genome-wide screening has proven to be a powerful tool in identifying critical genes associated with the toxicity of exogenous substances. To identify undiscovered key genes involved in AAI-induced renal toxicity, a genome-wide CRISPR library screen was conducted in the human kidney-2 (HK-2) cell line.

Dipeptidyl peptidase-4 inhibitor linagliptin reduces inflammatory response, ameliorates tissue edema formation, and improves survival in severe sepsis.

Background: Excessive inflammation in sepsis causes microvascular dysfunction associated with organ dysfunction and high mortality. The present studies aimed to examine the therapeutic potential of linagliptin, a dipeptidyl peptidase-4 (DPP-4) inhibitor in a clinically relevant polymicrobial sepsis model in mice.

Methods: Sepsis was induced by cecal ligation and puncture (CLP).

Future runoff trends in the mang river basin of China: Implications of carbon emission paths.

In recent years, the rapid development of the global economy has led to an increasing impact of the ongoing climate warming phenomenon on the hydrological cycle. In this context, the runoff changes affected by human activities are more severe. This study classifies climate scenarios based on carbon emission levels into "low-carbon" (SSP1-2.

Analysis of carbon reduction potential from typical municipal solid waste incineration plants under MSW classification.

The disposal of municipal solid waste (MSW) is a significant source of greenhouse gas (GHG) emissions. As incineration becomes the primary method of MSW disposal in China, MSW incineration (MSWI) plants are expected to play a crucial role in mitigating GHG emissions in the waste sector. This study estimated the quarterly GHG emissions from two representative MSWI plants in Qingdao using a life-cycle assessment (LCA) approach.

Analysis of the dynamic evolution of green technology innovation decision-making in the supply chain.

Green technology innovation (GTI) breaks the vicious cycle of "economic development-environmental pollution," mitigating the supply chain carbon emissions. Previous research focused on exploring supply chain GTI decision-making in the discrete strategy space and ignored the effect of stochastic factors. This paper, grounded in the classical evolutionary game theory, explores the interaction mechanism of supply chain GTI decision-making between suppliers and manufacturers under stochastic interferences and in the continuous strategy space.

Environmental regulation and corporate exports: Quasi-experimental evidence from China's environmental protection tax law.

How can we create a dual benefit scenario that improves both the ecological environment and export performance? This study aims to investigate whether the introduction of the Environmental Protection Tax Law (EPTL) has promoted the growth of corporate export. By treating the formal implementation of China's EPTL on January 1, 2018, as an exogenous economic event, this paper takes A-share listed companies in China from 2013 to 2022 as a sample and uses the Difference-in-Differences (DID) model to analyze the specific effects of the EPTL on corporate exports. The results indicate that the EPTL improves corporate exports significantly.

Enhancing fish sludge bioconversion kinetics for nutrient recovery in aquaponics using a modified biological aerated filter with a novel media of polyhedral hollow spheres.

Nutrient recovery from aquaculture sludge is vital for promoting hydroponic plant growth and achieving near-zero solid waste discharge in aquaponic systems. Modified biological aerated filters (MBAFs) are promising because of the dual capabilities of aquaculture sludge collection and aerobic mineralization. However, the bioconversion kinetics, which is indirectly related to the packed media, need to be improved.

Application of Subretinal Balanced Salt Solution Injection: A Novel technique in treating Severe idiopathic Epiretinal Membrane.

Purpose: To describe a novel surgical approach for treating patients diagnosed with severe idiopathic epiretinal membranes (iERM) featuring ectopic intrafoveal layers (EIFL).

Method: A retrospective, interventional case series was conducted involving eight cases of iERM with EIFL. The technique involved a 27-gauge vitrectomy, removal of all vitreous adhesions, and injection of approximately 100μl sub-retinal balanced salt solution (BSS) using a 41-gauge subretinal needle, creating 3-4 localized bleb-like elevations around the folded retina to loosen it.

"Mortise and Tenon Joint" Technique to Improve the Stability of Three-Dimensional Costal Cartilage Framework in Fully Expansion Ear Reconstruction.

Objective: For full expansion of ear reconstruction, the stability of a cartilage framework is very important. However, most techniques for framework fabrication focus on three-dimensional structure and adequate projection. Few studies are available on improving the stability of the reconstructed framework.

Multidisciplinary Treatment of A Class III Patient With Giant Open Bite Secondary to Macroglossia.

Skeletal Class III malocclusion deformity is one of the most common maxillofacial malocclusions in East Asia and is either due to maxillary retrusion, mandibular protrusion, or both. It could cause functional and aesthetic problems. This deformity could be attributed to either hereditary or environmental factors or both.

Elastography-based AI model can predict axillary status after neoadjuvant chemotherapy in breast cancer with nodal involvement: A prospective, multicenter, diagnostic study.

Objective: To develop a model for accurate prediction of axillary lymph node (LN) status after neoadjuvant chemotherapy (NAC) in breast cancer patients with nodal involvement.

Methods: Between October 2018 and February 2024, 671 breast cancer patients with biopsy-proven LN metastasis who received NAC followed by axillary LN dissection were enrolled in this prospective, multicenter study. Preoperative ultrasound (US) images, including B-mode ultrasound (BUS) and shear wave elastography (SWE), were obtained.

Incremental Value of Pericoronary Adipose Tissue Radiomics Models in Identifying Vulnerable Plaques.

Objective: Inflammatory characteristics in pericoronary adipose tissue (PCAT) may enhance the diagnostic capability of radiomics techniques for identifying vulnerable plaques. This study aimed to evaluate the incremental value of PCAT radiomics scores in identifying vulnerable plaques defined by intravascular ultrasound imaging (IVUS).

Methods: In this retrospective study, a PCAT radiomics model was established and validated using IVUS as the reference standard.

Establishment of prognostic model for invasive ductal carcinoma with distant metastasis within the triple-negative breast cancer: a SEER population-based study.

Triple-negative breast cancer (TNBC) is a complex and diverse group of malignancies. Invasive ductal carcinoma (IDC) is the predominant pathological subtype and is closely linked to the ominous potential for distant metastasis, a pivotal factor that significantly influences patient outcomes. In light of these considerations, the present study was conceived with the objective of developing a nomogram model.

Evaluations of the Perturbation Resistance of the Deep-Learning-Based Ligand Conformation Optimization Algorithm.

In recent years, the deep learning (DL) technique has rapidly developed and shown great success in scoring the protein-ligand binding affinities. The protein-ligand conformation optimization based on DL-derived scoring functions holds broad application prospects, for instance, drug design and enzyme engineering. In this study, we evaluated the robustness of a DL-based ligand conformation optimization protocol (DeepRMSD+Vina) for optimizing structures with input perturbations by examining the predicted ligand binding poses and scoring.

Inhibiting FGFR by toadflax reverses erlotinib resistance in nonsmall cell lung cancer.

This study aims to demonstrate the effect of toadflax (bufalin) on erlotinib resistance in nonsmall cell lung cancer (NSCLC) by inhibiting the fibroblast growth factor receptor (FGFR). The microfluidic mobility transferase and caliper mobility-shift assays were employed to detect the FGFR inhibition by bufalin and the binding reversibility. Further, the inhibitory effects of bufalin were determined in HCC827 and HCC827/ER cells in vitro, investigating relative FGFR overexpression by quantitative reverse transcriptase-PCR (RT-qPCR) and FGFR downstream proteins, that is, FGFR substrate 2 (FRS2), extracellular signal-regulated kinase (ERK), and S6 by western blot analysis.

Simultaneous High Current Density and Selective Electrocatalytic CO2-to-CH4 through Intermediate Balancing.

The electrochemical reduction of CO2 to CH4 is promising for carbon neutrality and renewable energy storage but confronts low CH4 selectivity, especially at high current densities. The key challenge lies in promoting *CO intermediate and *H coupling while minimizing side reactions including C-C coupling or H-H coupling, which is particularly difficult at high current density due to abundant intermediates. Here we report a cooperative strategy to address this challenge using Cu-based catalysts comprising Cu-N coordination polymer and CuO component that can simultaneously manage the key intermediates *CO and *H.

Optimization of fermentation conditions and blending process of fairy bean in North Anhui Province.

Functional fermentation strains were isolated and screened from traditional fairy beans in northern Anhui. Through technical identification, Bacillus subtilis SXD06 was determined to be the superior fermentation strain, while Wickerhamomyces anomalus YE006 was identified as the optimal aroma-producing yeast. Utilizing single-factor experiments and response surface optimization, a Central Composite Design fermentation and blending model was established.

Bioinformatics-based modeling of lung squamous cell carcinoma prognosis and prediction of immunotherapy response.

Lung squamous cell carcinoma (LUSC) is a subtype of non-small cell lung cancer. It has a grim prognosis for patients, primarily because the disease often remains asymptomatic in its early stages. As a result, it is frequently diagnosed at an advanced stage, limiting treatment options.

CTSG is a prognostic marker involved in immune infiltration and inhibits tumor progression though the MAPK signaling pathway in non-small cell lung cancer.

Purpose: This study aims to investigate the biological roles and molecular mechanisms of Cathepsin G (CTSG) in the progression of non-small cell lung cancer (NSCLC).

Methods: Western blotting and immunohistochemistry analyses of clinical samples were performed to determine the expression levels of CTSG in patients with NSCLC. Bioinformatic analysis of clinical datasets was conducted to evaluate the correlation between CTSG and lymph node metastasis, tumor stage, and immune cell infiltration.

A novel hybrid model for air quality prediction via dimension reduction and error correction techniques.

The monitoring of air pollution through the air quality index (AQI) is a fundamental tool in ensuring public health protection. Accurate prediction of air quality is necessary for the timely implementation of measures to control and manage air pollution, thereby mitigating its detrimental impact on human health. A novel hybrid prediction model is proposed, which is EMD-KMC-EC-SSA-VMD-LSTM.

Correlation between the course of kidney injury and clinicopathology and prognosis of children with Henoch-Schönlein purpura nephritis.

Purpose: Henoch-Schönlein purpura nephritis (HSPN) has a poor prognosis and variable pathophysiology. The present study aimed to analyze the kidney injury, clinicopathology, and prognosis of HSPN children.

Methods: This retrospective study examined 249 children with HSPN.