| Title |
A new method to evaluate anti-allergic effect of food component by measuring leukotriene B4 from a mouse mast cell line
|
|---|---|
| Published in |
Methods in Cell Science, August 2017
|
| DOI | 10.1007/s10616-017-0129-9 |
| Pubmed ID | |
| Authors |
Mikako Takasugi, Emi Muta, Koji Yamada, Hirofumi Arai |
| Abstract |
Leukotrienes (LTs), chemical mediators produced by mast cells, play an important role in allergic symptoms such as food allergies and hay fever. We tried to construct an evaluation method for the anti-LTB4 activity of chemical substances using a mast cell line, PB-3c. PB-3c pre-cultured with or without arachidonic acid (AA) was stimulated by calcium ionophore (A23187) for 20 min, and LTB4 production by the cells was determined by HPLC with UV detection. LTB4 was not detected when PB-3c was pre-cultured without AA. On the other hand, LTB4 production by PB-3c pre-cultured with AA was detectable by HPLC, and the optimal conditions of PB-3c for LTB4 detection were to utilize the cells pre-cultured with 50 µM AA for 48 h. MK-886 (5-lipoxygenase inhibitor) completely inhibited LTB4 production, but AACOCF3 (phospholipase A2 inhibitor) slightly increased LTB4 production, suggesting that LTB4 was generated from exogenous free AA through 5-lipoxygenase pathway. We applied this technique to the evaluation of the anti-LTB4 activity of food components. PB-3c pre-cultured with 50 µM AA for 48 h was stimulated with A23187 in the presence of 50 µM soybean isoflavones (daidzin, genistin, daidzein, and genistein), equol, quercetin, or kaempferol. Genistein, equol, quercetin, and kaempferol strongly inhibited LTB4 production without cytotoxicity. These results suggest that a new assay system using PB-3c is convenient to evaluate LTB4 inhibition activity by food components. This method could be utilized for elucidation of the mechanisms of LTB4 release suppression by food components such as flavonoids and the structure-activity relationship. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 13% |
| Other | 2 | 13% |
| Student > Bachelor | 2 | 13% |
| Researcher | 2 | 13% |
| Professor | 2 | 13% |
| Other | 4 | 27% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 27% |
| Medicine and Dentistry | 4 | 27% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unknown | 4 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2017.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Methods in Cell Science
#857
of 1,026 outputs
Outputs of similar age
#251,074
of 323,804 outputs
Outputs of similar age from Methods in Cell Science
#4
of 10 outputs
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