ExerGeneDB: A physical exercise-regulated differential gene expression database.

Background: Exercise induces molecular changes that involve multiple organs and tissues. Moreover, these changes are modulated by various exercise parameters-such as intensity, frequency, mode, and duration-as well as by clinical features like gender, age, and body mass index (BMI), each eliciting distinct biological effects. To assist exercise researchers in understanding these changes from a comprehensive perspective that includes multiple organs, diverse exercise regimens, and a range of clinical features, we developed Exercise Regulated Genes Database (ExerGeneDB), a database of exercise-regulated differential genes.

Inhibition of Hmbox1 Promotes Cardiomyocyte Survival and Glucose Metabolism Through Gck Activation in Ischemia/Reperfusion Injury.

Background: Exercise-induced physiological cardiac growth regulators may protect the heart from ischemia/reperfusion (I/R) injury. Homeobox-containing 1 (Hmbox1), a homeobox family member, has been identified as a putative transcriptional repressor and is downregulated in the exercised heart. However, its roles in exercise-induced physiological cardiac growth and its potential protective effects against cardiac I/R injury remain largely unexplored.

Exercise and microbiome: From big data to therapy.

Exercise is a vital component in maintaining optimal health and serves as a prospective therapeutic intervention for various diseases. The human microbiome, comprised of trillions of microorganisms, plays a crucial role in overall health. Given the advancements in microbiome research, substantial databases have been created to decipher the functionality and mechanisms of the microbiome in health and disease contexts.

Updated Methods of Extracellular Vesicles Isolation.

Extracellular vesicles (EVs) are considered as cargo and mediate intercellular communication. As natural biological nanoparticles, EVs can be secreted by almost all kinds of cells and exist in biofluids such as milk, urine, blood, etc. In the past decades, several methods have been utilized to isolate EVs from cell culture medium, biofluids, and tissues.

Predicting risk on cardiovascular or cerebrovascular disease based on a physical activity cohort: Results from APAC study.

Commonly used prediction models have been primarily constructed without taking physical activity into account. Using the Kailuan physical activity cohorts from Asymptomatic Polyvascular Abnormalities in Community (APAC) study, we developed a 9-year cardiovascular or cerebrovascular disease (CVD) risk prediction equation. Participants in this study were included from APAC cohort, which included 5440 participants from the Kailuan cohort in China.