Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 436

The DOI matches its Crossref record.

Control of regional blood flow by endothelium-derived nitric oxide.

Gardiner, S M, Compton, A M, Bennett, T, Palmer, R M, Moncada, S·1990·Hypertension

Abstract

The regional hemodynamic consequences of inhibiting vascular endothelial nitric oxide generation with NG-monomethyl-L-arginine (L-NMMA) were studied in conscious Long-Evans rats. Experiments were carried out in groups of chronically instrumented rats with intravascular catheters and pulsed Doppler probes to monitor regional blood flow. L-NMMA (0.3-300 mg/kg) caused a dose-dependent, long-lasting (5-90 minutes), and enantiomerically specific increase in mean blood pressure and also caused bradycardia. The increase in blood pressure was accompanied by a dose-dependent and long-lasting vasoconstriction in the internal carotid, mesenteric, renal, and hindquarters vascular beds that could be attenuated, in a concentration-dependent manner, by L-arginine but not by D-arginine. In contrast, L-arginine did not affect the pressor or vasoconstrictor effects of vasopressin. These results indicate that nitric oxide production by vascular endothelial cells contributes to the maintenance of blood pressure and to the control of the resting tone of different vascular beds in the conscious rat.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/01.hyp.15.5.486

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 436

Metadata

Authors
Gardiner, S. M., Compton, A. M., Bennett, T., Palmer, R. M., & Moncada, S.
Venue
Hypertension
Published
1990-05
Volume
15
Issue
5
Pages
486-492
ISSN
  • 0194-911X (ISSN-L)
  • 1524-4563
OpenAlex
W2030364592
Cited by
436
References
0
FWCI
33.74
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: Control of regional blood flow by endothelium-derived nitric oxide. https://app.cochat.ai/papers/10.1161/01.hyp.15.5.486
The paper
Gardiner, S. M., Compton, A. M., Bennett, T., Palmer, R. M., & Moncada, S. (1990). Control of regional blood flow by endothelium-derived nitric oxide. Hypertension. https://doi.org/10.1161/01.hyp.15.5.486

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.