Evidence map›Paper›PMID 18039391›Full record

ArticleClinical and molecular allergy : CMA2007

Baicalein inhibits IL-1beta- and TNF-alpha-induced inflammatory cytokine production from human mast cells via regulation of the NF-kappaB pathway.

Chia-Jung Hsieh, Kenton Hall, Tuanzhu Ha, Chuanfu Li, Guha Krishnaswamy, David S Chi

Open access · goldAbstract read
In one paragraph

Article in Clinical and molecular allergy : CMA, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 127 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Chia-Jung HsiehDepartments of Internal Medicine, James H, Quillen College of Medicine, East Tennessee State University, Johnson City, Tennessee 37614, USA. chi@etsu.edu.
Kenton Hall
Tuanzhu Ha
Chuanfu Li
Guha Krishnaswamy
David S Chi
East Tennessee State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman mast cells are multifunctional cells capable of a wide variety of inflammatory responses. Baicalein (BAI), isolated from the traditional Chinese herbal medicine Huangqin (Scutellaria baicalensis Georgi), has been shown to have anti-inflammatory effects. We examined its effects and mechanisms on the expression of inflammatory cytokines in an IL-1beta- and TNF-alpha-activated human mast cell line, HMC-1.

methodsHMC-1 cells were stimulated either with IL-1beta (10 ng/ml) or TNF-alpha (100 U/ml) in the presence or absence of BAI. We assessed the expression of IL-6, IL-8, and MCP-1 by ELISA and RT-PCR, NF-kappaB activation by electrophoretic mobility shift assay (EMSA), and IkappaBalpha activation by Western blot.

resultsBAI (1.8 to 30 muM) significantly inhibited production of IL-6, IL-8, and MCP-1 in a dose-dependent manner in IL-1beta-activated HMC-1. BAI (30 muM) also significantly inhibited production of IL-6, IL-8, and MCP-1 in TNF-alpha-activated HMC-1. Inhibitory effects appear to involve the NF-kappaB pathway. BAI inhibited NF-kappaB activation in IL-1beta- and TNF-alpha-activated HMC-1. Furthermore, BAI increased cytoplasmic IkappaBalpha proteins in IL-1beta- and TNF-alpha-activated HMC-1.

conclusionOur results showed that BAI inhibited the production of inflammatory cytokines through inhibition of NF-kappaB activation and IkappaBalpha phosphorylation and degradation in human mast cells. This inhibitory effect of BAI on the expression of inflammatory cytokines suggests its usefulness in the development of novel anti-inflammatory therapies.

Identifiers

PMID18039391
PMCPMC2206049
OpenAlexW2123112037

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.