Targeting vascular (endothelial) dysfunction
Open accessAbstract
Cardiovascular diseases are major contributors to global deaths and disability‐adjusted life years, with hypertension a significant risk factor for all causes of death. The endothelium that lines the inner wall of the vasculature regulates essential haemostatic functions, such as vascular tone, circulation of blood cells, inflammation and platelet activity. Endothelial dysfunction is an early predictor of atherosclerosis and future cardiovascular events. We review the prognostic value of obtaining measurements of endothelial function, the clinical techniques for its determination, the mechanisms leading to endothelial dysfunction and the therapeutic treatment of endothelial dysfunction. Since vascular oxidative stress and inflammation are major determinants of endothelial function, we have also addressed current antioxidant and anti‐inflammatory therapies. In the light of recent data that dispute the prognostic value of endothelial function in healthy human cohorts, we also discuss alternative diagnostic parameters such as vascular stiffness index and intima/media thickness ratio. We also suggest that assessing vascular function, including that of smooth muscle and even perivascular adipose tissue, may be an appropriate parameter for clinical investigations. Linked Articles: This article is part of a themed section on Redox Biology and Oxidative Stress in Health and Disease. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.12/issuetoc
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Recent work indicates that normalizing a disease state by direct inhibition of a single source of oxidative stress can be a feasible approach.
“Recent work indicates that this can be a feasible approach (206, 207, 234, 836).”
From Sources of Vascular Nitric Oxide and Reactive Oxygen Species and Their Regulation (2019) · cites this paper as [207]
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Flagged first, then by citations
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Sources of Vascular Nitric Oxide and Reactive Oxygen Species and Their Regulation
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- Authors
- Daiber, A., Steven, S., Weber, A., Shuvaev, V. V., Muzykantov, V. R., Laher, I., Li, H., Lamas, S., & Münzel, T.
- Affiliations
- Johannes Gutenberg University Mainz (DE)
- University of Pennsylvania (US)
- University of British Columbia (CA)
- Consejo Superior de Investigaciones Científicas (ES)
- Corresponding author
- Daiber, Andreas
- Münzel, Thomas
- ORCID
- Venue
- British Journal of Pharmacology
- Publisher
- Wiley
- Published
- 2016-07-04
- Volume
- 174
- Issue
- 12
- Pages
- 1591-1619
- ISSN
- 0007-1188 (ISSN-L)
- 1476-5381
- PMC
- PMC5446575
- OpenAlex
- W2399674801
- Cited by
- 501
- References
- 376
- Citations by year
- 2026: 22 · 2025: 39 · 2024: 53 · 2023: 48 · 2022: 71 · 2021: 69 · 2020: 72 · 2019: 45 · 2018: 30 · 2017: 37 · 2016: 14
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal of Pharmacology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Stiftung Mainzer Herz
- European Cooperation in Science and Technology (BM1203 EU-ROS, BM1203)
- Johannes Gutenberg-Universität Mainz (Stufe 1)
- Boehringer Ingelheim Stiftung
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Health Sciences › Medicine › Physiology › Nitric Oxide and Endothelin Effects
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
- Keywords
- endothelial dysfunction, vascular dysfunction, endothelial function assessment, oxidative stress, inflammation, antioxidant therapy, anti-inflammatory therapy, vascular stiffness, intima-media thickness, atherosclerosis, hypertension, cardiovascular disease, perivascular adipose tissue, vascular smooth muscle
- MeSH terms
- Animals, Anti-Inflammatory Agents, Antioxidants, Cardiovascular Diseases, Endothelium, Vascular, Humans, Inflammation, Oxidative Stress
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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