DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer.

The field of computational drug repurposing aims to uncover novel therapeutic applications for existing drugs through high-throughput data analysis. However, there is a scarcity of drug repurposing methods leveraging the cellular-level information provided by single-cell RNA sequencing data. To address this need, we propose DrugReSC, an innovative approach to drug repurposing utilizing single-cell RNA sequencing data, intending to target specific cell subpopulations critical to disease pathology.

Establishment and validation of nomogram model for predicting major adverse cardiac events in patients with acute ST-segment elevation myocardial infarction based on glycosylated hemoglobin A1c to apolipoprotein A1 ratio: An observational study.

The objective of the current study is to assess the usefulness of HbA1cAp ratio in predicting in-hospital major adverse cardiac events (MACEs) among acute ST-segment elevation myocardial infarction (STEMI) patients that have undergone percutaneous coronary intervention (PCI). Further, the study aims to construct a ratio nomogram for prediction with this ratio. The training cohort comprised of 511 STEMI patients who underwent emergency PCI at the Huaibei Miners' General Hospital between January 2019 and May 2023.

Transcriptomic analysis of mRNAs in human whole blood identified age-specific changes in healthy individuals.

Older age is one of the most important shared risk factors for multiple chronic diseases, increasing the medical burden to contemporary societies. Current research focuses on identifying aging biomarkers to predict aging trajectories and developing interventions aimed at preventing and delaying the progression of multimorbidity with aging. Here, a transcriptomic changes analysis of whole blood genes with age was conducted.

Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI.

Background: Single-cell RNA sequencing (scRNA-seq) has revolutionized the transcriptomics field by advancing analyses from tissue-level to cell-level resolution. Despite the great advances in the development of computational methods for various steps of scRNA-seq analyses, one major bottleneck of the existing technologies remains in identifying the molecular relationship between disease phenotype and cell subpopulations, where "disease phenotype" refers to the clinical characteristics of each patient sample, and subpopulation refer to groups of single cells, which often do not correspond to clusters identified by standard single-cell clustering analysis. Here, we present PACSI, a method aimed at distinguishing cell subpopulations associated with disease phenotypes at the single-cell level.

Metformin inhibits the pathogenic functions of AChR-specific B and Th17 cells by targeting miR-146a.

Myasthenia gravis (MG) is characterized by fatigable skeletal muscle weakness with a fluctuating and unpredictable disease course and is caused by circulating autoantibodies and pathological T helper cells. Regulation of B-cell function and the T-cell network may be a potential therapeutic strategy for MG. MicroRNAs (miRNAs) have emerged as potential biomarkers in immune disorders due to their critical roles in various immune cells and multiple inflammatory diseases.

SubtypeDrug: a software package for prioritization of candidate cancer subtype-specific drugs.

Summary: Cancer can be classified into various subtypes by its molecular, histological or clinical characteristics. Discovering cancer-subtype-specific drugs is a crucial step in personalized medicine. SubtypeDrug is a system biology R-based software package that enables the prioritization of subtype-specific drugs based on cancer expression data from samples of many subtypes.

Metformin attenuates autoimmune disease of the neuromotor system in animal models of myasthenia gravis.

Metformin, the most widely used medicine for type 2 diabetes, displays anti-inflammatory functions via activating AMP-activated protein kinase (AMPK). Circulating autoantibodies and disequilibrium of helper T cells and regulatory T cells are pathological hallmarks of myasthenia gravis (MG). Rectify the imbalance of different T cell populations has become an important therapeutic strategy to treat MG.

Iridoid glycosides from the fruits of Cornus officinalis.

Four new iridoid glycosides named cornusphenosides A-D (1-4) were isolated from an ethanol extract of the fruits of Cornus officinalis (shan zhu yu). The structures of these compounds were elucidated on the basis of spectroscopic data (UV, IR, HRESIMS, and 1D and 2D NMR) and chemical evidence. The neuroprotective effects of compounds 1-4 were also assessed in vitro.

Genome-wide haplotype association study identifies risk genes for non-small cell lung cancer.

Lung cancer is the leading cause of cancer-related death worldwide. Most lung cancer is non-small cell lung cancer (NSCLC), in which malignant cells form in the lung epithelium. Mutations in multiple genes and environmental factors both contribute to NSCLC, and although some NSCLC susceptibility genes have been characterized, the pathogenesis of this disease remains unclear.