An all-in-one biomimetic iron-small interfering RNA nanoplatform induces ferroptosis for cancer therapy.

Iron-dependent ferroptosis is a promising therapeutic strategy for cancers. However, the sustained overexpression of the antioxidant glutathione (GSH) in cancer cells substantially limits its therapeutic effect. Seeking efficient approaches that can perform high GSH depletion efficiency remains a significant task.

The ratio of the max-to-mean coronary artery calcium score in the most calcified vessel is associated with the presence of coronary artery disease.

Purpose: This study aimed to clarify the relationship between the severity of the calcium burden in the most calcified coronary vessel and coronary artery disease (CAD).

Method: Of 2150 patients, 376 examined by both coronary computed tomographic angiography and invasive coronary angiography (ICA) within 30 days at Sun Yat-sen Memorial Hospital between March 2011 and July 2020 were included. Three coronary artery calcium scores (CACSs), including the Agatston score, volume score, and mass score, and other clinical variables were recorded.

Discovery of new long noncoding RNAs associated with ulcerative colitis with a novel general microarray expression data.

UC is a chronic, nonspecific disease and characterized by a chronic relapsing intestinal inflammation, which puts a person at a higher risk of developing bowel cancer, while the causes of UC are unknown. Recently, with the development of microarray technology, more and more studies are focusing on the potential roles of long noncoding RNAs (lncRNAs) in the pathogenesis of diseases. The purpose of this study is to devise a method, based on cDNA microarray probe genomics data, to computationally determine the potential function of evolutionary conserved lncRNAs in ulcerative colitis (UC).

Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework.

Purpose: To develop and evaluate the effectiveness of a deep learning framework (3D-ResNet) based on CT images to distinguish nontuberculous mycobacterium lung disease (NTM-LD) from Mycobacterium tuberculosis lung disease (MTB-LD).

Method: Chest CT images of 301 with NTM-LD and 804 with MTB-LD confirmed by pathogenic microbiological examination were retrospectively collected. The differences between the clinical manifestations of the two diseases were analysed.

Accurately Discriminating COVID-19 from Viral and Bacterial Pneumonia According to CT Images Via Deep Learning.

Computed tomography (CT) is one of the most efficient diagnostic methods for rapid diagnosis of the widespread COVID-19. However, reading CT films brings a lot of concentration and time for doctors. Therefore, it is necessary to develop an automatic CT image diagnosis system to assist doctors in diagnosis.

pH-Sensitive nanotheranostics for dual-modality imaging guided nanoenzyme catalysis therapy and phototherapy.

Triple-negative breast cancer shows resistance to conventional radiotherapies and chemotherapies, and few molecular targeted therapies are currently available for this malignancy in clinical settings. In this work, a theranostic nanosystem with a core-shell structure was synthesized through self-assembly of amphiphilic macromolecules, which can be used in effective catalysis therapy and phototherapy. Herein, we report that superparamagnetic iron oxide nanocrystals and IR780 dye were effectively loaded into the hydrophobic core of the nanosystem, which enabled dual-modality magnetic resonance imaging and near-infrared fluorescence imaging.

The Usefulness of Bayesian Network in Assessing the Risk of Triple-Negative Breast Cancer.

Rationale And Objectives: To evaluate a Bayesian network (BN) model learned from epidemiological and clinical information, and various MRI parameters for predicting the risk of triple-negative breast cancer (TNBC).

Materials And Methods: For this retrospective study, 214 women (mean age ± standard deviation, 50.5±10.

Solid-phase microextraction: An appealing alternative for the determination of endogenous substances - A review.

The determination of endogenous substances is of great significance for obtaining important biotic information such as biological components, metabolic pathways and disease biomarkers in different living organisms (e.g. plants, insects, animals and humans).

A robust and homogeneous porous poly(3,4-ethylenedioxythiophene)/graphene thin film for high-efficiency laser desorption/ionization analysis of estrogens in biological samples.

Herein, a robust and homogeneous porous poly(3,4-ethylenedioxythiophene)/graphene (PEDOT/graphene) thin film surface-assisted laser desorption/ionization (SALDI) functional platform was prepared through a rapid and facile in-situ photopolymerization method. The graphene-embedded PEDOT skeleton well circumvented the aggregation-related problems in the traditional carbon-based SALDI method which combined with time-of-flight mass spectrometer (TOF MS). As a result, the reproducibility and quantitative capacity of the SALDI platform were significantly improved.

Assessment of Cardiac Lead Perforation: Comparison Among Chest Radiography, Transthoracic Echocardiography and Electrocardiography-gated Contrast-enhanced Cardiac CT.

Objectives: Cardiac lead perforation is a rare but potentially life-threatening event. The purpose of this study was to investigate the diagnostic performances of chest radiography, transthoracic echocardiography (TTE) and electrocardiography (ECG)-gated contrast-enhanced cardiac CT in the assessment of cardiac lead perforation.

Methods: This retrospective study was approved by the ethics review board of Sun Yat-Sen Memorial Hospital at Sun Yat-Sen University (Guangzhou, China), and the need to obtain informed consent was waived.