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.

Naturally Occurring NF-κB Inhibitors

Nam, Nguyen-Hai·2006·Mini-Reviews in Medicinal Chemistry

Abstract

NF-kappaB is a ubiquitous and well-characterised protein responsible for the regulation of complex phenomena, with a pivotal role in controlling cell signalling in the body under certain physiological and pathological conditions. Among other functions, NF-kappaB controls the expression of genes encoding the pro-inflammatory cytokines (e. g., IL-1, IL-2, IL-6, TNF-alpha, etc.), chemokines (e. g., IL-8, MIP-1alpha, MCP1, RANTES, eotaxin, etc.), adhesion molecules (e. g., ICAM, VCAM, E-selectin), inducible enzymes (COX-2 and iNOS), growth factors, some of the acute phase proteins, and immune receptors, all of which play critical roles in controlling most inflammatory processes. Since NF-kappaB represents an important and very attractive therapeutic target for drugs to treat many inflammatory diseases, including arthritis, asthma, and the auto-immune diseases, most attention has been paid in the last decade to the identification of compounds that selectively interfere with this pathway. Recently, a great number of plant-derived substances have been evaluated as possible inhibitors of the NF-kappaB pathway. These include a wide range of compound classess, such as lignans (manassantins, (+)-saucernetin, (-)-saucerneol methyl ether), sesquiterpenes (costunolide, parthenolide, celastrol, celaphanol A), diterpenes (excisanin, kamebakaurin), triterpenes (avicin, oleandrin), polyphenols (resveratrol, epigallocatechin gallate, quercetin), etc. In this mini-review we will discuss the medicinal chemistry of these compounds with regards to the NF-kappaB inhibition.

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 · 10.2174/138955706777934937

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
Nam, N.-H.
Venue
Mini-Reviews in Medicinal Chemistry
Published
2006-08-01
Volume
6
Issue
8
Pages
945-951
ISSN
1389-5575 (ISSN-L)
OpenAlex
W170138251
Cited by
436
References
0
FWCI
63.32
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: Naturally Occurring NF-κB Inhibitors. https://app.cochat.ai/papers/10.2174/138955706777934937
The paper
Nam, N.-H. (2006). Naturally Occurring NF-κB Inhibitors. Mini-Reviews in Medicinal Chemistry. https://doi.org/10.2174/138955706777934937

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.