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Effect of health foods on cytochrome P450-mediated drug metabolism

Overview of attention for article published in Journal of Pharmaceutical Health Care and Sciences, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 148)
  • High Attention Score compared to outputs of the same age (87th percentile)

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1 news outlet
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12 X users
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2 Facebook pages

Citations

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29 Dimensions

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78 Mendeley
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Title
Effect of health foods on cytochrome P450-mediated drug metabolism
Published in
Journal of Pharmaceutical Health Care and Sciences, May 2017
DOI 10.1186/s40780-017-0083-x
Pubmed ID
Authors

Takamitsu Sasaki, Yu Sato, Takeshi Kumagai, Kouichi Yoshinari, Kiyoshi Nagata

Abstract

Health foods have been widely sold and consumed in Japan. There has been an increase in reports of adverse effects in association with the expanding health food market. While health food-drug interactions are a particular concern from the viewpoint of safe and effective use of health foods, information regarding such interactions is limited owing to the lack of established methods to assess the effects of health food products on drug metabolism. We therefore developed cells that mimicked the activities of cytochrome P450 1A2 (CYP1A2), CYP2C9, CYP2C19, CYP2D6, and CYP3A4, which strongly contribute to drug metabolism in human hepatocytes, and established a system to assess the inhibitory activity of health foods toward P450-mediated metabolism. We simultaneously infected HepG2 cells with five P450-expressing adenoviruses (Ad-CYP1A2, Ad-CYP2C9, Ad-CYP2C19, Ad-CYP2D6, and Ad-CYP3A4) to mimic the activity levels of these P450s in human hepatocytes, and named them Ad-P450 cells. The activity levels of P450s in Ad-P450 cells and human hepatocytes were calculated via simultaneous liquid chromatography/tandem mass spectrometry analysis utilizing a P450 substrate cocktail. We established Ad-P450 cells mimicking the activity levels of CYP1A2, CYP2C9, CYP2C19, CYP2D6, and CYP3A4 in human hepatocytes. We determined the Km values of P450 substrates and IC50 values of P450 inhibitors in Ad-P450 cells. These values were approximately equivalent to those obtained in previous studies. We investigated the inhibitory effects of 172 health foods that were recently in circulation in Japan on P450-mediated metabolism using Ad-P450 cells. Of the 172 health foods, five products (two products having dietary effects, one turmeric-based product, one collagen-based product, and one propolis-containing product) simultaneously inhibited the five P450s by more than 50%. Another 29 products were also confirmed to inhibit one or more P450s. We established a comprehensive assessment system to elucidate the effects of health foods on P450-mediated metabolism and identified the inhibitory activity of 34 of 172 health foods toward the drug-metabolizing P450s. Our results may provide useful information to predict health food-drug interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 19%
Researcher 10 13%
Student > Ph. D. Student 5 6%
Student > Doctoral Student 4 5%
Lecturer 4 5%
Other 11 14%
Unknown 29 37%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 12 15%
Medicine and Dentistry 8 10%
Agricultural and Biological Sciences 7 9%
Biochemistry, Genetics and Molecular Biology 5 6%
Nursing and Health Professions 3 4%
Other 13 17%
Unknown 30 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 11 December 2023.
All research outputs
#2,078,855
of 24,976,442 outputs
Outputs from Journal of Pharmaceutical Health Care and Sciences
#7
of 148 outputs
Outputs of similar age
#38,479
of 316,290 outputs
Outputs of similar age from Journal of Pharmaceutical Health Care and Sciences
#1
of 3 outputs
Altmetric has tracked 24,976,442 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 148 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them