A5100645704- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Circular RNAs in diseases
- Cytokine Signaling Pathways and Interactions
- RNA modifications and cancer
- Systemic Lupus Erythematosus Research
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
- Ferroptosis and cancer prognosis
- Chemotherapy-induced cardiotoxicity and mitigation
- Cancer-related gene regulation
- Cancer Immunotherapy and Biomarkers
- Aortic aneurysm repair treatments
- Infections and bacterial resistance
- Advanced Drug Delivery Systems
- Advanced Proteomics Techniques and Applications
- Infectious Aortic and Vascular Conditions
- Tea Polyphenols and Effects
- Galectins and Cancer Biology
- Antibiotic Resistance in Bacteria
- Image Retrieval and Classification Techniques
- FOXO transcription factor regulation
- Hemoglobin structure and function
- Pluripotent Stem Cells Research
- Mycorrhizal Fungi and Plant Interactions
Ningxia Medical University
2020-2025
Taizhou Central Hospital
2025
Taizhou University
2025
Xinxiang Medical University
2025
Shaanxi Provincial People's Hospital
2024
Yan'an University
2012-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2024
Zhengzhou University of Light Industry
2024
Shandong First Medical University
2014-2024
National Clinical Research
2023
Objective: To investigate the prognostic value of preoperative lymphocyte‐to‐monocyte ratio (LMR) for postoperative adverse events in patients with acute type A aortic dissection (ATAAD). Methods: retrospective study clinical data collected our hospital between March 2015 and January 2024 was performed on 290 diagnosed ATAAD who underwent surgical treatment met inclusion criteria patient selection. The included were divided into a low LMR group (< 1.70, 50 cases) high (≥ 51 cases). Clinical...
<title>Abstract</title> B-cell lymphoma 6 (BCL6) is a transcriptional repressor essential for B lymphocyte differentiation and germinal center formation through its BTB structural domain. Overexpression of BCL6 strongly implicated in the progression diffuse large (DLBCL), making it promising therapeutic target. This study aims to identify novel small molecule, synthesized via proteolysis-targeting chimeras (PROTACs), capable degrading BCL6, thereby inhibiting DLBCL growth providing...
Abstract Aims Inflammatory biomarkers, including CRP, the neutrophil‐to‐lymphocyte ratio (NLR), and neutrophil‐to‐eosinophil (NER), may predict outcomes in cancer. However, their value immune checkpoint inhibitor (ICI) therapy‐associated cardiotoxicity remains elusive. We aimed to characterize relationship of inflammatory markers with severity ICI‐related cardiotoxicities (iRCs) prognosis among patients iRCs. Methods Patients who were diagnosed iRCs between January 2019 December 2021...
Background: Energy metabolism has a complex intersection with pathogenesis and development of breast cancer (BC). This allows for the possibility identifying energy-metabolism-related genes (EMRGs) as novel prognostic biomarkers BC. 7-dehydrocholesterol reductase (DHCR7) is key enzyme cholesterol biosynthesis involved in many cancers, this paper, we investigate effects DHCR7 on proliferation mitochondrial function Methods: EMRGs were identified from Gene Expression Omnibus (GEO) MSigDB...
BACKGROUND:The present study aimed to determine serum markers for cervical cancer (CC) and provide valuable references clinical diagnosis treatment. MATERIAL AND METHODS:Serum samples were collected from age-matched healthy control women, female CC patients before after surgery. Serum biomarkers selected by comparing peptides profiles among the 3 groups magnetic bead-based weak cation – exchange chromatography fractionation combined with matrix-assisted laser desorption/ionization-time of...
To investigate microRNA (miRNA) expression profiles in individuals with systemic lupus erythematosus (SLE) and identify the valuable miRNA biomarkers diagnosing monitoring SLE. Next-generation sequencing (NGS) was performed to assess amounts peripheral blood mononuclear cells (PBMCs) from four SLE cases healthy controls. Quantitative polymerase chain reaction (qPCR) carried out for validating candidate miRNAs 32 In addition, receiver operating characteristic (ROC) curve analysis completed...
Abstract Methyl-CpG-binding protein 2(MeCP2) is an important epigenetic regulatory factor that promotes many tumor developments, such as liver cancer, breast and colorectal cancer. So far, no pan-cancer analysis has been reported. Therefore, this study aims to explore pan-cancer's prognostic value, immune infiltration pattern, biological function. We used bioinformatics methods analyze the expression significance of MeCP2, relationship between MeCP2 clinicopathological parameters, genetic...
Rhodococcus equi (R. equi) is a zoonotic opportunistic pathogen that can cause life-threatening infections. The rapid evolution of multidrug-resistant R. and the fact there no currently licensed effective vaccine against warrant need for development. Reverse vaccinology (RV), which involves screening pathogen's entire genome proteome using various web-based prediction tools, considered one most approaches identifying candidates. Here, we performed pangenome analysis to determine core...
Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by multiple organ damage and the production of a variety autoantibodies. The pathogenesis SLE has not been fully defined, it difficult to treat. Our study aimed identify candidate genes that may be used as biomarkers for screening, diagnosis, treatment SLE.We GEO2R tool differentially expressed (DEGs) in SLE-related datasets retrieved from Gene Expression Omnibus (GEO). In addition, we also identified biological...
Previous studies have explored the association between protein-coding genes and microRNAs (miRNAs) in lung adenocarcinoma (LUAD). However, influence of miR-199a-3p/anterior gradient 2 (AGR2) axis LUAD has not yet been fully explored. Therefore, this study aimed to examine underlying roles AGR2 miR-199a-3p development LUAD. The expression levels tissues cells were detected via quantitative reverse transcription-polymerase chain reaction (qRT-PCR). A luciferase assay was also performed...
Gastric cancer is one of the most common cancers in world. miRNAs play an important role regulating gene expression by binding with 3'-UTR target gene. The aim this study was to investigate function miRNA-149 and FOXC1 gastric cancer. Patients Methods. qRT-PCR used detect tissues cells. Human cell lines AGS MKN28 were cultured transfected miR-149 overexpression plasmid its control or siRNA control. MTT, colony formation, flow cytometry, wound healing, transwell, western blotting performed...
With new generation neutron sources, traditional detectors cannot satisfy the demands of applications, especially under high flux. Furthermore, facing global crisis in He-3 gas supply, research on types detector as an alternative to is a hotspot field particle detection. GEM (Gaseous Electron Multiplier) have counting rate, good spatial and time resolution, could be one future direction development detectors. In this paper, physical process detection simulated with Geant4 code, studying...
Pancreatic adenocarcinoma (PAAD) is one of the most fatal cancers in world for early metastasis, extensive invasion, and poor prognosis with a 5-year survival rate less than 5%. However, underlying mechanisms are poorly understood. Therefore, it urgent to explore molecular markers diagnosis or therapy target improve outcome PAAD.We retrieved transcriptome data as well clinical information from patients PAAD The Cancer Genome Altas (TCGA) database. Survival time associated microRNAs (miRNAs)...
<title>Abstract</title> <italic><bold>Background and aims</bold></italic> Roots mycorrhizal fungi, especially the Root-pathway Myc-pathway, represent two alternative strategies for plants in process of soil nutrient foraging. However, concurrent carbon (C) economy associated with resource acquisition through root pathways remains unclear, particularly across nitrogen (N) enrichment gradient. <italic><bold>Methods</bold></italic><bold> </bold>Using experimental microcosms a dominant plant...
Advancements in large language models (LLMs) have paved the way for LLM-based agent systems that offer enhanced accuracy and interpretability across various domains. Radiology, with its complex analytical requirements, is an ideal field application of these agents. This paper aims to investigate pre-requisite question building concrete radiology agents which is, `Can modern LLMs act as cores environments?' To it, we introduce RadABench three-fold contributions: First, present RadABench-Data,...