A Novel Model for Predicting Microsatellite Instability in Endometrial Cancer: Integrating Deep Learning-Pathomics and MRI-Based Radiomics.

Rationale And Objectives: To develop and validate a novel model based on multiparametric MRI (mpMRI) and whole slide images (WSIs) for predicting microsatellite instability (MSI) status in endometrial cancer (EC) patients.

Materials And Methods: A total of 136 surgically confirmed EC patients were included in this retrospective study. Patients were randomly divided into a training set (96 patients) and a validation set (40 patients) in a 7:3 ratio.

Identification and expression of a novel antimicrobial peptide Gloverin and its antibacterial effect against Staphylococcus aureus.

Background: Antimicrobial peptides (AMPs) have attracted extensive attention in various fields. Gloverin is a group of AMPs derived from Lepidoptera insects. In this study, a novel gloverin CpGlv was identified through sequence alignment.

Nitrogen Dopant Induced Highly Selective and Durable CO Electroreduction into Formate on the InO Surface.

The inactive and unstable active sites limit the development of the electrochemical CO reduction reaction (CORR) under a large current density. Herein, nitrogen-doped InO was designed, which achieved a formate Faradaic efficiency (FE) of 97.6% with a formate partial current density () of 390.

Prediction of Early Recurrence After Bronchial Arterial Chemoembolization in Non-small Cell Lung Cancer Patients Using Dual-energy CT: An Interpretable Model Based on SHAP Methodology.

Rationale And Objectives: Bronchial artery chemoembolization (BACE) is a new treatment method for lung cancer. This study aimed to investigate the ability of dual-energy computed tomography (DECT) to predict early recurrence (ER) after BACE among patients with non-small cell lung cancer (NSCLC) who failed first-line therapy.

Materials And Methods: Clinical and imaging data from NSCLC patients undergoing BACE at Wenzhou Medical University Affiliated Fifth *** Hospital (10/2023-06/2024) were retrospectively analyzed.

Unlocking the gut-lung axis: Feixin decoction as a novel modulator in hypoxic pulmonary hypertension.

Background: Feixin decoction (FXD) is an effective traditional Chinese medicine prescription for treating chronic pulmonary heart disease and hypoxic pulmonary hypertension (HPH), However, the pharmacological mechanism of FXD in preventing HPH remains unclear.

Purpose: This study aimed to evaluate the preventive and therapeutic effect of FXD on HPH and confirm the association between HPH, gut microbiota, and FXD.

Methods: Multiple in vivo animal models were used, including HPH rat models, microbiota depletion models, and fecal microbiota transplantation (FMT) models.

Robust Denoising of Laplace NMR and Multidimensional NMR Spectroscopy Using Chemometrics.

Nuclear magnetic resonance (NMR) spectroscopy constitutes one of the robust analytical tools for revealing molecular-level information regarding the composition and concentration, as well as structure and dynamics. As a complement to Fourier transform-based NMR, Laplace NMR allows one to reveal molecular motions and spin interactions by studying molecular relaxation and diffusion phenomena. However, severe noises and unrelated-modulation interferences hinder accurate Laplace NMR analysis.

Therapeutic effects and mechanisms of Tripterygium wilfordii extracts in rheumatoid arthritis: a systematic review and meta-analysis of preclinical studies.

Tripterygium polyglycosides (TG), Triptolide (TP), and Celastrol (CEL), which are extracts from Tripterygium wilfordii Hook F (TwHF), are renowned for their anti-inflammatory and immunomodulatory properties in the treatment of rheumatoid arthritis (RA). However, a comprehensive systematic review and meta-analysis of preclinical evidence supporting the use of Tripterygium wilfordii extracts for RA has not yet been conducted. This study aimed to conduct a systematic review and meta-analysis to evaluate the therapeutic effects and potential underlying mechanisms of Tripterygium wilfordii extracts in CIA model of RA.

Multi-omics analysis of lactate metabolism gene regulation in Clonorchis sinensis-associated hepatocellular carcinoma.

Background: Although recent research has highlighted lactylation, a post-translational modification driven by elevated lactate levels, as a critical regulator of key cellular pathways in hepatocellular carcinoma (HCC), its contribution to the poor prognosis of Clonorchis sinensis (Cs)-infected HCC remains poorly understood.

Methods: We first identified the significant upregulation of the lactate metabolism enzyme LDH in Cs-infected HCC patients through clinical retrospective analysis. We then conducted a multi-omics analysis (RNA-Seq, ATAC-Seq, WGBS-Seq, oxWGBS-Seq, and ChIP-Seq) to examine the differences in 392 lactate metabolism-related genes (LMRGs) between Cs-infected and Cs-noninfected HCC tumors.

Integrative Single-Cell Analysis Decodes Gene Expression and Chromatin Accessibility in the Developing Human Fetal Brain.

The brain is the core of the central nervous system, responsible for regulating and integrating various physiological and psychological functions. Abnormal disruptions in genes during brain development can lead to a range of neurodevelopmental disorders. In this study, we performed a systematic investigation of human fetal brain tissue from miscarriages between 8 and 17 weeks of gestation using integrated single-cell RNA sequencing (scRNA-seq) and single-cell transposase-accessible chromatin sequencing (scATAC-seq).

HER3 Expression and PIK3CA Mutational Status Predict Pathological Response of Neoadjuvant Therapy in HER2 Positive Breast Cancer Patients.

Purpose: The main purpose of this study is to explore the predictive value of HER3 expression level and PIK3CA mutation for the efficacy of neoadjuvant therapy in HER2 positive breast cancer patients.

Material And Methods: The clinicopathological data of HER2 positive non-specific invasive breast cancer patients who received neoadjuvant treatment in the Second Affiliated Hospital of Anhui Medical University from June 2017 to June 2024 were retrospectively analyzed. The correlation between HER3 expression level detected by immunohistochemistry and PIK3CA gene mutation detected by ARMS-PCR and pathological complete response rate (pCR) was analyzed.

Exploring Novel Objective Voice Assessment Parameters: A Pilot Study.

Background And Objective: Objective voice analysis is vital for diagnosing voice diseases. Traditional vocal assessment parameters, such as jitter, have remained relatively unchanged over the past few decades. Cepstrum technology offers new ways to explore novel vocal assessment parameters.

MRI Radiomics to Predict Early Treatment Response to TACE Combined with Lenvatinib Plus a PD-1 Inhibitor for Hepatocellular Carcinoma with Portal Vein Tumor Thrombus.

Purpose: To develop and validate a predictor for early treatment response in hepatocellular carcinoma (HCC) patients accompanied by portal vein tumor thrombus (PVTT) undergoing transarterial chemoembolization (TACE), lenvatinib and a programmed cell death protein 1 (PD-1) inhibitor (TLP) therapy.

Patients And Methods: In this retrospective study, patients with HCC and PVTT from two institutions receiving triple TLP therapy were enrolled. Radiomics features derived from pretreatment contrast-enhanced MRI were curated using intraclass correlation coefficient (ICC), Student's -test, least absolute shrinkage and selection operator (LASSO), and recursive feature elimination (RFE) to ensure robust selection.

The Maternal-Fetal Interface Fibrin Deposition and Expression of FGL2 in the Placenta of Preeclampsia and Fetal Growth Restriction.

We aimed to assess fibrin deposition in placentas of patients with preeclampsia (PE) with fetal growth restriction (FGR) and the relationship with fibrinogen-like protein 2 (FGL2). In this case-control study, pregnant women with PE (n=48), PE with FGR (n=44), FGR (n=43), and healthy pregnant women (n=43) at term gestation were recruited. We compared the baseline characteristics, blood coagulation parameters, and placenta characteristics.

Predicting hospital outpatient volume using XGBoost: a machine learning approach.

Hospital outpatient volume is influenced by a variety of factors, including environmental conditions and healthcare resource availability. Accurate prediction of outpatient demand can significantly enhance operational efficiency and optimize the allocation of medical resources. This study aims to develop a predictive model for daily hospital outpatient volume using the XGBoost algorithm.

Causal relationship between gut microbiota and laryngeal cancer: a mendelian randomization analysis.

Objective: Laryngeal cancer incidence is rising globally; the role of gut microbiota remains underexplored. This study aimed to establish a causal link between gut microbiota and laryngeal cancer to inform preventive and therapeutic strategies.

Methods: Gut microbiota data from GWAS conducted by the MiBioGen consortium served as the exposure variable, with laryngeal cancer as the outcome variable.

Relationship between liver fat, pancreatic fat, and new-onset type 2 diabetes mellitus in patients with metabolic dysfunction-associated fatty liver disease.

Purpose: Type 2 diabetes mellitus (T2DM) is associated with ectopic fat deposition, especially in the liver and pancreas. Therefore, this study aimed to evaluate the relationship between liver fat fraction (LFF), pancreatic fat fraction (PFF), and new-onset T2DM in metabolic dysfunction-associated fatty liver disease (MAFLD) by magnetic resonance imaging (MRI).

Methods: This is a retrospective study of patients with MAFLD who underwent abdominal MRI between 2022 and July 2024.

Multiparametric MRI-based radiomics and clinical nomogram predicts the recurrence of hepatocellular carcinoma after postoperative adjuvant transarterial chemoembolization.

Background: This study was undertaken to develop and validate a radiomics model based on multiparametric magnetic resonance imaging (MRI) for predicting recurrence in patients with hepatocellular carcinoma (HCC) following postoperative adjuvant transarterial chemoembolization (PA-TACE).

Methods: In this retrospective study, 149 HCC patients (81 for training, 36 for internal validation, 32 for external validation) treated with PA-TACE were included in two medical centers. Multiparametric radiomics features were extracted from three MRI sequences.

The evolving landscape of biomarkers for systemic therapy in advanced hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) remains one of the most prevalent and deadliest cancers. With the approval of multiple first- and second-line agents, especially the combination therapies based on immune checkpoint inhibitor (ICI) regimens, the landscape of systemic therapy for advanced HCC (aHCC) is more diverse than ever before. The efficacy of current systemic therapies shows great heterogeneity in patients with aHCC, thereby identifying biomarkers for response prediction and patient stratification has become an urgent need.

Prevalence of depression among university students in China: a systematic review and meta-analysis.

Background: Depression among university students in China represents a critical public health challenge, with emerging evidence suggesting exacerbated risks during the COVID-19 pandemic. Despite prior regional studies, a comprehensive national analysis comparing pre-pandemic and pandemic-era prevalence, while accounting for profession-specific stressors, remains lacking. This study aims to quantify depression prevalence across Chinese universities, identify high-risk subgroups, and assess the pandemic's impact.

regulates grain size and weight via sugar metabolism-mediated signaling in rice.

Grain size significantly affects rice yield and quality. Although several genes that regulate grain size have been identified, their mechanisms remain unclear. In this study, we characterized the mutant, which has a smaller plant height, shorter panicles, and smaller grains compared to the wild type (WT).

infected hepatocellular carcinoma exhibits distinct tumor microenvironment and molecular features.

Objectives: ()-infected hepatocellular carcinoma (HCC) patients have a poorer prognosis than non--infected HCCs. However, the molecular mechanisms of -infected HCC remain unclear. To address this, this study aims to uncover the tumor microenvironment and molecular features that may contribute to these poor outcomes.

Body Composition Changes and Predictor of Weight Loss in Short Term after Sleeve Gastrectomy.

Background: Metabolic bariatric surgery is the most effective treatment for achieving sustainable weight loss in patients with severe obesity. However, changes in body composition, particularly limb composition, after sleeve gastrectomy (SG) in the Asian population have not been widely reported. Additionally, few studies have focused on predicting short-term weight loss following SG.

Applications and prospects of phosphoproteomics in renal disease research.

Introduction: Phosphoproteomics, an advanced branch of molecular biology, utilizes specific techniques such as mass spectrometry, affinity chromatography, and bioinformatics analysis to explore protein phosphorylation, shedding light on the cellular mechanisms that drive various biological processes. This field has become instrumental in advancing our understanding of renal diseases, from identifying underlying mechanisms to pinpointing new therapeutic targets.

Areas Covered: This review will discuss the evolution of phosphoproteomics from its early experimental observations to its current application in renal disease research using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

WPR-Net: A Deep Learning Protocol for Highly Accelerated NMR Spectroscopy with Faithful Weak Peak Reconstruction.

Multidimensional NMR spectroscopy contains a large amount of molecular-level species and structure information, which is of great significance in various disciplines; however, it is unfortunately limited by lengthy acquisition times. Undersampling signals accompanied by spectral reconstruction provide a powerful and efficient way to accelerate its implementation. However, the accurate reconstruction of weak peaks remains a crucial issue to compromise the reconstruction performance.