The diverse roles of circular RNAs in cholangiocarcinoma.

Cholangiocarcinoma (CCA) is a malignant tumor that develops in the extrahepatic bile duct, that is, from the left and right hepatic ducts to the lower end of the common bile duct. Because of its indeterminate etiology, difficulties in the diagnosis of early lesions, easy invasion and metastasis and resistance to chemotherapeutic drugs, the trend of mortality rate deterioration of patients with CCA has not been fundamentally reversed. And the molecular mechanisms underlying the development of CCA are not well characterized.

The functional roles of deoxyelephantopin potential target circTNPO3 in regulating pancreatic cancer malignant phenotype and gemcitabine chemoresistance via miR-188-5p/CDCA3/TRAF2-mediated remodeling of NF-κB signaling pathway.

Background: Pancreatic cancer (PC) has been one of the most severe digestive system malignant tumor with poor prognosis that threatens human health. Chemotherapy is essential for patients with advanced PC, but unfortunately the curative effect is limited by chemoresistance. CircTNPO3, a recently discovered circular RNA (circRNA), has been indicated to be associated with multi-types of tumors.

The association between serum pinenes and non-alcoholic fatty liver disease based on the NHANES 2013-2014.

Background: Terpenes are known to affect metabolic status, though their relationship with non-alcoholic fatty liver disease (NAFLD) remains unclear.

Methods: Data from the 2013-2014 National Health and Nutrition Examination Survey (NHANES) were utilized in this cross-sectional study. Serum levels of α-pinene, β-pinene, and limonene were sourced from publicly available data provided by NHANES, determined through gas chromatography-tandem mass spectrometry assays.

Short-term traffic flow prediction research based on ICEEMDAN-MPE-PSO-DELM model.

Based on historical data, a new short-term traffic flow prediction model (ICEEMDAN-MPE-PSO-DELM-ARIMA) for intersections is proposed. In order to improve prediction accuracy, ICEEMDAN decomposition algorithm is applied on traffic flow time series to obtain multiple Intrinsic Mode Function (IMF) components. Then PSO-MPE algorithm is introduced to obtain the multi-scale permutation entropy values of each IMF component, to judge the randomness.

Demand prediction for shared bicycles around metro stations incorporating STAGCN.

The seamless integration of shared bikes and metro systems promotes green and eco-friendly travel, yet the supply-demand imbalance of shared bikes around metro stations remains a critical challenge, making accurate demand prediction particularly crucial. Targeting metro-adjacent areas, this study proposes a method to identify shared bike trips connecting to metro usage, effectively filtering out approximately 24% of non-connecting travel records within the buffer zones. A predictive model integrating a Spatiotemporal Attention Graph Convolutional Network (STAGCN), Long Short-Term Memory (LSTM) network, and Informer is developed to forecast shared bike demand for metro connectivity.

LMAD-YOLO: A vehicle image detection algorithm for drone aerial photography based on multi-scale feature fusion.

In the process of UAV small target vehicle detection, it is difficult to extract the features because of the small target shape of the vehicle, the environment noise is big, the vehicles are dense and easy to miss detection. The LMAD-YOLO model is proposed, and the MultiEdgeEnhancer module is designed to enhance the edge information and enhance the feature capture through a series of operations. Large Separable Kernel Attention and SPPF are combined to form MSPF module, which can realize multi-scale perception aggregation and improve the ability of distinguishing small targets from interference.

Human endogenous retrovirus W family envelope protein (ERVWE1) regulates macroautophagy activation and micromitophagy inhibition via NOXA1 in schizophrenia.

The human endogenous retrovirus type W envelope glycoprotein (ERVWE1), located at chromosome 7q21-22, has been implicated in the pathophysiology of schizophrenia. Our previous studies have shown elevated ERVWE1 expression in schizophrenia patients. Growing evidence suggests that autophagy dysfunction contributes to schizophrenia, yet the relationship between ERVWE1 and autophagy remains unclear.

Single-Cell RNA Sequencing Reveals the Immune Landscape of Granulomatous Mastitis.

Granulomatous mastitis (GM) is a form of non-lactational breast inflammation that is closely associated with autoimmune processes, however its underlying pathogenesis remains elusive. In this study, we employed single-cell RNA sequencing (scRNA-seq) to conduct a comparative analysis of GM lesion tissues versus normal breast tissues, thereby unveiling the immune profile of GM tissues. Our investigation centered on T and NK cells, macrophages, epithelial cells, and endothelial cells.

Drug development for chronic hepatitis B functional cure: Recent progress.

Chronic hepatitis B virus (HBV) infection affects approximately 254 million individuals globally, contributing to significant morbidity and mortality due to HBV-related liver failure and cirrhosis, which result in millions of fatalities each year. Although approved antiviral nucleos(t)ide analogues can effectively suppress HBV replication, their ability to reduce hepatitis B surface antigen (HBsAg) levels in plasma remains limited. The clinical application of the immunomodulator interferon-alpha is restricted by concerns regarding its safety and the severity of associated adverse reactions, rendering long-term administration challenging.

Neoadjuvant Sintilimab Combined with Gemcitabine and Cisplatin (GP) for Muscle-Invasive Bladder Cancer (MIBC) Patients Followed by Selective Bladder Sparing Surgery: A Phase 2 Trial.

Purpose: To evaluate the safety and efficacy of GP regimen in combination with immune checkpoint inhibitor sintilimab as neoadjuvant therapy for MIBC patients and the feasibility of the following selective bladder sparing surgery.

Materials And Methods: Patients with histopathological confirmed urothelial carcinoma without distant metastases (T2-4a, N≤1, M0, AJCC 8th) and with adequate organ function will be enrolled. The therapeutic regimen was sintilimab 200 mg once on day 8, gemcitabine 1,000 mg/m2 and cisplatin 35 mg/m2 once on days 1 and 8, every 21 days for four cycles.

[F]FAPI- 04 PET/CT for pathologic response assessment in pancreatic cancer patients with systemic treatment.

Purpose: To study the association between [F]FAPI- 04 uptake on positron emission tomography/computed tomography (PET/CT) and pathologic treatment response (PTR) in patients with pancreatic cancer (PC).

Methods: We enrolled 59 patients from August 2021, of whom 28 underwent surgical treatment after systemic therapy. The patients were investigated for a correlation between baseline fibroblast activation protein inhibitor (FAPI) uptake and PTR using College of American Pathologists (CAP) scores.

Innovative applications and future perspectives of chromatography-mass spectrometry in drug research.

Chromatography coupled with mass spectrometry (MS) has emerged as a cornerstone analytical technique in drug research. Over the years, advancements in chromatography-MS have significantly enhanced its capabilities, leading to improved sensitivity, specificity, and throughput. This review explores the innovative applications of chromatography-MS in drug research, particularly focusing on its role in drug absorption, distribution, metabolism, excretion (ADME), toxicity evaluation, and personalized medicine.

Association between inflammatory score, healthy lifestyle, and cardiovascular disease: a national cohort study.

Background: The inflammation score is currently regarded as a reliable composite index for comprehensive assessment of inflammatory status. However, the relationship between inflammation score and cardiovascular disease (CVD) is unclear. Thus, we aimed to explore the association of inflammatory score with CVD, as well as to evaluate whether adhering to a healthy lifestyle could alleviate this association.

Traffic flow prediction based on improved deep extreme learning machine.

A new hybrid prediction model is proposed for short-term traffic flow, which is based on Deep Extreme Learning Machine improved by Sparrow Search Algorithm (SSA-DELM). Firstly, Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise algorithm (ICEEMDAN) is employed to improve prediction accuracy. Then multiple Intrinsic Mode Function components (IMF) can be obtained.

Comprehensive Characterization of Aroma Compounds in Four Different Varieties of Cigar Tobacco Leaves from China Using HS-SPME-GC × GC-TOF-MS Combined with Flavor Profiling.

In order to conduct in-depth research on the stylistic characteristics of different varieties of cigar tobacco leaves (CTLs), we have carried out the following research work: first, the Soxhlet extraction method was utilized for the pretreatment of 4 different varieties of CTLs currently available in China. Then, the two-dimensional (2D) gas chromatography-time-of-flight mass spectrometry (GC × GC-TOF-MS) technology was applied for the nontargeted flavoromics analysis of CTLs. A total of 2117 volatile compounds were identified in the extracts of the 4 CTLs varieties, encompassing alcohols, aldehydes, ketones, carboxylic acids, and their derivatives, esters, hydrocarbons, alkenes, heterocyclic compounds, and aromatics.

Transarterial Chemoembolization With or Without Systemic Therapy for Unresectable Hepatocellular Carcinoma: A Retrospective Comparative Study.

Introduction: Standard treatments provide limited benefits for patients with intermediate- or advanced-stage hepatocellular carcinoma (HCC). This retrospective observational study aimed to assess the potential improvements in outcomes associated with systemic therapies in patients receiving transarterial chemoembolization (TACE) for initially unresectable HCC.

Methods: Between February 2019 and March 2023, we reviewed patients diagnosed with intermediate-to-advanced HCC who were treated with either TACE or TACE combined with antiangiogenic agents and immune checkpoint inhibitors (combination therapy) as their initial treatment.

Gut Commensal Barnesiella Intestinihominis Ameliorates Hyperglycemia and Liver Metabolic Disorders.

Recent studies have highlighted the role of the gut microbiota in type 2 diabetes (T2D). Improving gut microbiota dysbiosis can be a potential strategy for the prevention and management of T2D. Here, this work finds that the abundance of Barnesiella intestinihominis is significantly decreased in the fecal of T2D patients from 2-independent centers.

The effect of lidocaine infusion in oncologic surgery: A bibliometric analysis based on CiteSpace.

Background: Over the past 2 decades, lidocaine's application in oncologic surgery has received significant attention. It has potential antitumor effects and acts as a chemosensitizer. The aim of this study is to analyze the process and frontiers of lidocaine application in oncologic surgery over the past 20 years.

Primary pulmonary intravascular large B‑cell lymphoma: Indications from cytomorphology findings through CT‑guided puncture: A case report.

Primary pulmonary intravascular large B-cell lymphoma (IVLBCL) is a rare malignant extranodal lymphoma, and it presents symptoms similar to those of lung diseases. Diagnosis of IVLBCL can be challenging and often requires histopathological examination of affected tissues. The present report describes a 65-year-old female patient presenting with a fever, without generalized lymph node enlargement.

Ancestral retrovirus envelope protein ERVWE1 upregulates circ_0001810, a potential biomarker for schizophrenia, and induces neuronal mitochondrial dysfunction via activating AK2.

Background: Increasingly studies highlight the crucial role of the ancestral retrovirus envelope protein ERVWE1 in the pathogenic mechanisms of schizophrenia, a severe psychiatric disorder affecting approximately 1% of the global population. Recent studies also underscore the significance of circular RNAs (circRNAs), crucial for neurogenesis and synaptogenesis, in maintaining neuronal functions. However, the precise relationship between ERVWE1 and circRNAs in the etiology of schizophrenia remains elusive.

Injectable Genetic Engineering Hydrogel for Promoting Spatial Tolerance of Transplanted Kidney in Situ.

The establishment of a tolerant space to realize the co-stimulation of cytokines and contact-dependent molecules remain challenging in allotransplant. Here, an injectable genetically engineered hydrogel (iGE-Gel) is reported, which developed with a multivalent network of FOXP3 engineered extracellular vesicles (Foe-EVs) through the hydrophobic interaction between stearic acid modified hyaluronic acid (HASA) and the membrane phospholipids of extracellular vesicles (EVs). The iGE-Gel exhibited self-healing properties, injectability and biocompatibility.

Analyzing venous thromboembolism risk in malignant tumors: thromboelastogram and coagulation factors study.

This retrospective clinical study was designed to examine the predictive value of thromboelastography (TEG) combined with coagulation function for venous thromboembolism (VTE) in hospitalized patients with cancer. Among 215 patients admitted between May 2020 and January 2022, 39 (18.14%) were diagnosed with VTE during hospitalization.

Postoperative pain relief after total knee arthroplasty: A Bayesian network meta-analysis and systematic review of analgesic strategies based on nerve blocks.

Study Objective: A Bayesian network meta-analysis was performed to compare the analgesic efficacy of the following nerve block techniques: femoral nerve block (FNB), adductor canal block (ACB), infiltration between the popliteal artery and the capsule of the posterior knee (iPACK), and genicular nerve block (GNB) following total knee arthroplasty (TKA).

Design: Systematic review and network meta-analysis (NMA).

Patients And Measurements: We searched the Web of Science, PubMed, EMBASE, and Cochrane Library databases until September 20, 2022.

Identification of wheat seedling varieties based on MssiapNet.

Introduction: In the actual planting of wheat, there are often shortages of seedlings and broken seedlings on long ridges in the field, thus affecting grain yield and indirectly causing economic losses. Variety identification of wheat seedlings using physical methods timeliness and is unsuitable for universal dissemination. Recognition of wheat seedling varieties using deep learning models has high timeliness and accuracy, but fewer researchers exist.