The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Inflammatory Cytokines Impair Endothelium-Dependent Dilatation in Human Veins In Vivo
Abstract
Background Endothelial dysfunction occurs in many diseases associated with increased cardiovascular risk. We examined the effects of pro-inflammatory cytokines on endothelial function. Methods and Results Subjects lay with one hand placed on an angled support. The diameter of a vein was recorded by measuring the linear displacement of a probe placed on the skin overlying the vein when the pressure in a congesting cuff placed around the upper arm was deflated from 40 to 0 mm Hg. A length of the vein was isolated by two wedges. TNF-α (1 ng), IL-1β (1 ng), or IL-6 (100 pg) were instilled for 1 hour, either individually or together. At the end of the hour, the wedges were removed and the vein reconnected with the circulation. Dose-response curves (bradykinin: 2, 4, and 8 pmol/min; arachidonic acid: 0.2, 2, and 20 nmol/min; and glyceryl trinitrate 1, 2, and 4 pmol/min) were constructed before and 1, 6, 24, and 48 hours after instillation. In another study, hydrocortisone (100 mg) was given 2 hours before the study. In a different study, subjects were given oral aspirin (75 mg or 1 g) 2 hours before the study. TNF-α and IL-1β alone but not IL-6 attenuated the dilatation to bradykinin and arachidonic acid; the response was greatest at 1 hour with recovery occurring by 6 hours. Combination of IL-1β and TNF-α prolonged the endothelial dysfunction, resulting in recovery at 24 hours. Hydrocortisone and high-dose aspirin prevented endothelial dysfunction. Conclusions The results demonstrate that pro-inflammatory cytokines induce transient and reversible endothelial dysfunction and indicate that cyclooxygenase activity may contribute to the genesis of the effect. If other vessels behave similarly, this may provide further insight into the mechanisms precipitating acute cardiovascular events after inflammatory disorders.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Elevated Circulating Levels of Tumor Necrosis Factor in Severe Chronic Heart Failure
Levine, B., Kalman, J., Mayer, L., Fillit, H. M., & Packer, M. (1990) · New England Journal of Medicine · doi:10.1056/nejm199007263230405 · Cited by 2,582
Yoshizumi, M., Perrella, M. A., Burnett, J. C., & Lee, M. E. (1993) · Circulation Research · doi:10.1161/01.res.73.1.205 · Cited by 771
Cited by
C-Reactive Protein, Interleukin 6, and Risk of Developing Type 2 Diabetes Mellitus
Pradhan, A. D. (2001) · JAMA · doi:10.1001/jama.286.3.327 · Cited by 4,433
Adipose Tissue, Inflammation, and Cardiovascular Disease
Berg, A. H., & Scherer, P. E. (2005) · Circulation Research · doi:10.1161/01.res.0000163635.62927.34 · Cited by 2,113
Inflammation, obesity, stress and coronary heart disease: is interleukin-6 the link?
Yudkin, J. S., Kumari, M., Humphries, S. E., & Mohamed-Ali, V. (2000) · Atherosclerosis · doi:10.1016/s0021-9150(99)00463-3 · Cited by 1,775
Chait, A., & den Hartigh, L. J. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.00022 · Cited by 1,529
Ziccardi, P., Nappo, F., Giugliano, G., Esposito, K., Marfella, R., Cioffi, M., D’Andrea, F., Molinari, A. M., & Giugliano, D. (2002) · Circulation · doi:10.1161/hc0702.104279 · Cited by 994
Metadata
- Authors
- Bhagat, K., & Vallance, P.
- Venue
- Circulation
- Published
- 1997-11-04
- Volume
- 96
- Issue
- 9
- Pages
- 3042-3047
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2118285681
- Cited by
- 410
- References
- 2
- FWCI
- 4.40
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.