Estrogen and the Vascular Endothelium: The Unanswered Questions.
Gopika SenthilKumarBoran KatunaricHenry Bordas-MurphyJenna SarvaideoJulie K FreedPublished in: Endocrinology (2023)
Pre-menopausal women have a lower incidence of cardiovascular disease (CVD) compared to their age-matched male counterparts however this discrepancy is abolished following the transition to menopause or during low estrogen states. This, combined with a large amount of basic and preclinical data indicating that estrogen is vasculoprotective, supports the concept that hormone therapy could improve cardiovascular health. However, clinical outcomes in individuals undergoing estrogen treatment have been highly variable, challenging the current paradigm regarding the role of estrogen in the fight against heart disease. Increased risk for CVD correlates with long-term oral contraceptive use, hormone replacement therapy in older, post-menopausal cis-females, and gender affirmation treatment for trans-females. Vascular endothelial dysfunction serves as a nidus for the development of many cardiovascular diseases and is highly predictive of future CVD risk. Despite preclinical studies indicating that estrogen promotes a quiescent, functional endothelium, it still remains unclear why these observations do not translate to improved CVD outcomes. The goal of this review is to explore our current understanding of the effect of estrogen on the vasculature, with a focus on endothelial health. Following a discussion regarding the influence of estrogen on large and small artery function, critical knowledge gaps are identified. Finally, novel mechanisms and hypotheses are presented that may explain the lack of cardiovascular benefit in unique patient populations.
Keyphrases
- estrogen receptor
- cardiovascular disease
- replacement therapy
- nitric oxide
- healthcare
- type diabetes
- mental health
- pulmonary hypertension
- public health
- postmenopausal women
- physical activity
- risk factors
- mesenchymal stem cells
- adipose tissue
- case report
- pregnant women
- coronary artery disease
- big data
- machine learning
- stem cells
- combination therapy
- cell therapy
- risk assessment
- insulin resistance
- health information
- deep learning
- human health
- case control