ReviewJournal of cardiovascular pharmacology2013
Alike but not the same: anatomic heterogeneity of estrogen receptor-mediated vasodilation.
Review in Journal of cardiovascular pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- A hypertension patient-derived iPSC model demonstrates a role for G protein-coupled estrogen receptor in hypertension risk and development.American journal of physiology. Cell physiology · 2020Article
- Hormonal Cycles, Brain Network Connectivity, and Windows of Vulnerability to Affective Disorder.Trends in neurosciences · 2018Review
- Role of GPER in estrogen-dependent nitric oxide formation and vasodilation.The Journal of steroid biochemistry and molecular biology · 2018Article
- Emerging roles of GPER in diabetes and atherosclerosis.Trends in endocrinology and metabolism: TEM · 2015Review
- Estrogen biology: new insights into GPER function and clinical opportunities.Molecular and cellular endocrinology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
In view of recent findings on the anatomic heterogeneity of rapid vasodilation via estrogen receptor (ER)-dependent mechanisms, it is obvious that with regard to human physiology and disease much of it is still unknown, and research in this area is urgently needed. This is also important because chronic drug therapy with estrogens in women systemically affects the circulation and may affect certain arterial beds but not others. It is conceivable that the presence of any vascular disease (as was the case for coronary and carotid atherosclerosis in many of the patients in the large randomized controlled trials HERS and WHI) is likely to affect vascular responses to estrogens as well, and that any beneficial effects may be attenuated or even completely lost. Further work is required to decipher the mechanisms of vasodilation brought about by estrogens in humans and experimental animals, whether anatomic heterogeneity exists with regard to vascular beds and individual estrogen receptors, and how vascular disease (atherosclerosis in particular) affects responsiveness. Also, pharmacologcial tools for newly identified ERs are now available. The hypothesis that disease may modify or even abrogate estrogen-dependent or ER-selective vasodilation should also be tested. Finally, given that certain clinically approved drugs such as SERM or SERDs (thought only to block or downregulate nuclear ERs) actually cause vasodilation through GPER and have been shown in recent clinical studies to provide cardiovascular protection in postmenopausal women, we may have to rethink our current understanding, concepts, and strategies of how to interfere with the increased risk of vascular disease in women with estrogen deficiency or after menopause.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.