Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 382

The DOI matches its Crossref record.

Anti-Inflammatory Responses of Resveratrol

Das, Samarjit, Das, Dipak·2007·Inflammation & Allergy-Drug Targets

Abstract

Resveratrol (trans-3,4',5-trihydroxystilbene), a natural polyphenolic, non-flavonoid antioxidant, is a phytoalexin found in many plants including grapes, nuts and berries. Recent studies have documented that resveratrol has various health benefits, such as cardiovascular and cancer preventive properties. However, the experimental basis for such health benefit is not fully understood. One of the possible mechanisms for its protective activities is by down regulation of the inflammatory responses. That includes the inhibition of synthesis and release of pro-inflammatory mediators, modifications of eicosanoid synthesis, inhibition of some activated immune cells, or inhibiting the enzymes, such as cyclooxygenase-1 (COX-1) or cyclooxygenase-2 (COX-2), which are responsible for the synthesis of pro-inflammatory mediators through the inhibitory effect of resveratrol on transcription factors like nuclear factor kappaB (NFkappaB) or activator protein-1 (AP-1). Being a phenolic compound, resveratrol certainly possesses a low bioavailability and most importantly, a rapid clearance from the plasma. Recent growing interest in varying protective nature of resveratrol may clinically also hold a respectable position as a better alternative for anti-inflammatory drugs. The purpose of this review is to provide evidence that resveratrol exhibits potent anti-inflammatory activity and also to explain the underling mechanism for both resveratrol- induced cardioprotective and anti-inflammatory properties. While it is true that the cardioprotective properties of resveratrol are likely attributable, at least in part, to its anti-inflammatory properties, the mechanisms discussed address foremost mechanisms for the anti-inflammatory activity which, in turn, is responsible for cardioprotection.

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 · 10.2174/187152807781696464

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

Metadata

Authors
Das, S., & Das, D.
Venue
Inflammation & Allergy-Drug Targets
Published
2007-09-01
Volume
6
Issue
3
Pages
168-173
ISSN
1871-5281 (ISSN-L)
OpenAlex
W2059795667
Cited by
382
References
0
FWCI
6.39
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.