Enhanced glycolysis-derived lactate promotes microglial activation in Parkinson's disease via histone lactylation.

The switch from oxidative phosphorylation to glycolysis is crucial for microglial activation. Recent studies highlight that histone lactylation promotes macrophage homeostatic gene expression via transcriptional regulation, but its role in microglia activation in Parkinson's disease (PD) remains unclear. Here, we demonstrated that inhibiting glycolysis with 2-deoxy-D-glucose alleviates microgliosis, neuroinflammation and dopaminergic neurons damage by reducing lactate accumulation in PD mice.

FTO rs1121980 polymorphism contributes to coronary artery disease susceptibility in a Chinese Han population.

Background: The fat mass and obesity-associated protein (FTO) has been showed to be involved in the pathogenesis and progression of coronary artery disease (CAD). However, the effects of FTO variants on CAD risk remain poorly understood. We herein genotyped three SNPs (rs1121980, rs72803657, and rs4783818) in FTO to investigate the influence of FTO polymorphisms on individual susceptibility to CAD.

Genome-wide analysis of abnormal splicing regulators and alternative splicing involved in immune regulation in systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is an autoimmune disease with complex clinical manifestations and no current cure. Alternative splicing (AS) plays a key role in SLE by regulating immune-related genes, but its genome-wide regulatory mechanisms remain unclear. To investigate the involvement of abnormal splicing regulators and AS events in the immune regulation of SLE.

An integrated approach to modeling the influence of critical factors in low-carbon technology adoption by chemical enterprises in China.

Adopting low-carbon technology has become a critical method for enterprises to reduce carbon emissions and combat global warming. However, the willingness of high-energy-consuming and high-emission enterprises, such as those in the chemical industry, to adopt this technology is not high. Therefore, how to effectively stimulate these enterprises to develop and apply low-carbon technology has become an urgent challenge.

Improved Risk Prediction of Acute Myocardial Infarction in Patients With Stable Coronary Artery Disease Using an Amino Acid-Assisted Model.

Patients with stable coronary artery disease (CAD) are at an increased risk of acute myocardial infarction (AMI), particularly among older individuals. Developing a reliable model to predict AMI occurrence in these patients holds the potential to expedite early diagnosis and intervention. This study is aimed at establishing a circulating amino acid-assisted model, incorporating amino acid profiles alongside clinical variables, to predict AMI risk.