Impact of the Main Cardiovascular Risk Factors on Plasma Extracellular Vesicles and Their Influence on the Heart's Vulnerability to Ischemia-Reperfusion Injury.
Miłosz MajkaMarcin KleibertMalgorzata WojciechowskaPublished in: Cells (2021)
The majority of cardiovascular deaths are associated with acute coronary syndrome, especially ST-elevation myocardial infarction. Therapeutic reperfusion alone can contribute up to 40 percent of total infarct size following coronary artery occlusion, which is called ischemia-reperfusion injury (IRI). Its size depends on many factors, including the main risk factors of cardiovascular mortality, such as age, sex, systolic blood pressure, smoking, and total cholesterol level as well as obesity, diabetes, and physical effort. Extracellular vesicles (EVs) are membrane-coated particles released by every type of cell, which can carry content that affects the functioning of other tissues. Their role is essential in the communication between healthy and dysfunctional cells. In this article, data on the variability of the content of EVs in patients with the most prevalent cardiovascular risk factors is presented, and their influence on IRI is discussed.
Keyphrases
- cardiovascular risk factors
- ischemia reperfusion injury
- st elevation myocardial infarction
- percutaneous coronary intervention
- blood pressure
- acute coronary syndrome
- metabolic syndrome
- cardiovascular disease
- acute myocardial infarction
- risk factors
- coronary artery
- oxidative stress
- type diabetes
- induced apoptosis
- heart failure
- insulin resistance
- antiplatelet therapy
- cardiovascular events
- pulmonary artery
- climate change
- weight loss
- cell cycle arrest
- physical activity
- single cell
- hypertensive patients
- coronary artery disease
- atrial fibrillation
- mental health
- electronic health record
- cell therapy
- glycemic control
- heart rate
- left ventricular
- endoplasmic reticulum stress
- stem cells
- big data
- adipose tissue
- weight gain
- high fat diet induced
- cell death
- blood brain barrier
- signaling pathway
- deep learning
- acute ischemic stroke
- skeletal muscle