Influence of Perivascular Adipose Tissue on Microcirculation: A Link Between Hypertension and Obesity.
Claudia Agabiti RoseiSophie N SaxtonCarolina De CiuceisMaria Lorenza MuiesanDamiano RizzoniEnrico Agabiti RoseiAnthony M HeagertyPublished in: Hypertension (Dallas, Tex. : 1979) (2023)
Alterations in microcirculation play a crucial role in the pathogenesis of cardiovascular and metabolic disorders such as obesity and hypertension. The small resistance arteries of these patients show a typical remodeling, as indicated by an increase of media or total wall thickness to lumen diameter ratio that impairs organ flow reserve. The majority of blood vessels are surrounded by a fat depot which is termed perivascular adipose tissue (PVAT). In recent years, data from several studies have indicated that PVAT is an endocrine organ that can produce a variety of adipokines and cytokines, which may participate in the regulation of vascular tone, and the secretory profile varies with adipocyte phenotype and disease status. The PVAT of lean humans largely secretes the vasodilator adiponectin, which will act in a paracrine fashion to reduce peripheral resistance and improve nutrient uptake into tissues, thereby protecting against the development of hypertension and diabetes. In obesity, PVAT becomes enlarged and inflamed, and the bioavailability of adiponectin is reduced. The inevitable consequence is a rise in peripheral resistance with higher blood pressure. The interrelationship between obesity and hypertension could be explained, at least in part, by a cross-talk between microcirculation and PVAT. In this article, we propose an integrated pathophysiological approach of this relationship, in order to better clarify its role in obesity and hypertension, as the basis for effective and specific prevention and treatment.
Keyphrases
- insulin resistance
- blood pressure
- adipose tissue
- metabolic syndrome
- type diabetes
- high fat diet induced
- weight loss
- high fat diet
- weight gain
- skeletal muscle
- hypertensive patients
- heart rate
- cardiovascular disease
- glycemic control
- newly diagnosed
- ejection fraction
- arterial hypertension
- artificial intelligence
- prognostic factors
- body mass index
- chronic kidney disease
- machine learning
- bone mineral density
- postmenopausal women
- patient reported
- body composition