The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Estrogens Increase Transcription of the Human Endothelial NO Synthase Gene: Analysis of the Transcription Factors Involved
Abstract
Abstract—Estrogens have been found to reduce the incidence of cardiovascular disease that has been ascribed in part to an increased expression and/or activity of the vasoprotective endothelial NO synthase (NOS III). Some reports have shown that the level of expression of this constitutive enzyme can be upregulated by estrogens. The current study investigates the molecular mechanism of the NOS III upregulation in human endothelial EA.hy 926 cells. Incubation of EA.hy 926 cells with 17β-estradiol or the more stable 17α-ethinyl estradiol enhanced NOS III mRNA and protein expression up to 1.8-fold, without changing the stability of the NOS III mRNA. There was no enhancement of NOS III mRNA after incubation of EA.hy 926 cells with testosterone, progesterone, or dihydrocortisol or when 17α-ethinyl estradiol was added together with the estrogen antagonist RU58668, indicating a specific estrogenic response. Nuclear run-on assays indicated that the increase in NOS III mRNA is the result of an estrogen-induced enhancement of NOS III gene transcription. In transient transfection experiments using a 1.6 kb human NOS III promoter fragment (which contains no bona fide estrogen-responsive element, ERE), basal promoter activity was enhanced 1.7-fold by 17α-ethinyl estradiol. In electrophoretic mobility shift assays, nuclear extracts from estrogen-incubated EA.hy 926 cells showed no enhanced binding activity either for the ERE-like motif in the human NOS III promoter or for transcription factor GATA. However, binding of transcription factor Sp1 (which is essential for the activity of the human NOS III promoter) was significantly enhanced by estrogens. These data suggest that the estrogen stimulation of the NOS III promoter could be mediated in part by an increased activity of transcription factor Sp1.
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
The L-Arginine-Nitric Oxide Pathway
Epstein, F. H., Moncada, S., & Higgs, A. (1993) · New England Journal of Medicine · doi:10.1056/nejm199312303292706 · Cited by 6,678
Gene regulation by steroid hormones
Beato, M. (1989) · Cell · doi:10.1016/0092-8674(89)90237-7 · Cited by 3,383
Hypertension in mice lacking the gene for endothelial nitric oxide synthase
Huang, P. L., Huang, Z., Mashimo, H., Bloch, K. D., Moskowitz, M. A., Bevan, J. A., & Fishman, M. C. (1995) · Nature · doi:10.1038/377239a0 · Cited by 2,070
Cited by
Roles of vascular oxidative stress and nitric oxide in the pathogenesis of atherosclerosis
Förstermann, U., Xia, N., & Li, H. (2017) · Circulation Research · doi:10.1161/circresaha.116.309326 · Cited by 1,519
Self-citationMolecular mechanisms involved in the regulation of the endothelial nitric oxide synthase
Fleming, I., & Busse, R. (2003) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00323.2002 · Cited by 940
Wallerath, T., Deckert, G., Ternes, T., Anderson, H., Li, H., Witte, K., & Förstermann, U. (2002) · Circulation · doi:10.1161/01.cir.0000029925.18593.5c · Cited by 666
Self-citationVascular Actions of Estrogens: Functional Implications
Miller, V. M., & Duckles, S. P. (2008) · Pharmacological Reviews · doi:10.1124/pr.107.08002 · Cited by 593
Balligand, J.-L., Feron, O., & Dessy, C. (2009) · Physiological Reviews · doi:10.1152/physrev.00042.2007 · Cited by 477
Metadata
- Authors
- Kleinert, H., Wallerath, T., Euchenhofer, C., Ihrig-Biedert, I., Li, H., & Förstermann, U.
- Venue
- Hypertension
- Published
- 1998-02
- Volume
- 31
- Issue
- 2
- Pages
- 582-588
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W2128517839
- Cited by
- 239
- References
- 3
- FWCI
- 12.71
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Estrogens Increase Transcription of the Human Endothelial NO Synthase Gene: Analysis of the Transcription Factors Involved. https://app.cochat.ai/papers/10.1161/01.hyp.31.2.582
- The paper
- Kleinert, H., Wallerath, T., Euchenhofer, C., Ihrig-Biedert, I., Li, H., & Förstermann, U. (1998). Estrogens Increase Transcription of the Human Endothelial NO Synthase Gene: Analysis of the Transcription Factors Involved. Hypertension. https://doi.org/10.1161/01.hyp.31.2.582
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.