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Inhibition and Induction of Cytochrome P450 and the Clinical Implications

Overview of attention for article published in Clinical Pharmacokinetics, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

policy
1 policy source
patent
10 patents
facebook
1 Facebook page

Citations

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690 Dimensions

Readers on

mendeley
271 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
Title
Inhibition and Induction of Cytochrome P450 and the Clinical Implications
Published in
Clinical Pharmacokinetics, November 2012
DOI 10.2165/00003088-199835050-00003
Pubmed ID
Authors

Jiunn H. Lin, Anthony Y. H. Lu

Abstract

The cytochrome P450s (CYPs) constitute a superfamily of isoforms that play an important role in the oxidative metabolism of drugs. Each CYP isoform possesses a characteristic broad spectrum of catalytic activities of substrates. Whenever 2 or more drugs are administered concurrently, the possibility of drug interactions exists. The ability of a single CYP to metabolise multiple substrates is responsible for a large number of documented drug interactions associated with CYP inhibition. In addition, drug interactions can also occur as a result of the induction of several human CYPs following long term drug treatment. The mechanisms of CYP inhibition can be divided into 3 categories: (a) reversible inhibition; (b) quasi-irreversible inhibition; and (c) irreversible inhibition. In mechanistic terms, reversible interactions arise as a result of competition at the CYP active site and probably involve only the first step of the CYP catalytic cycle. On the other hand, drugs that act during and subsequent to the oxygen transfer step are generally irreversible or quasi-irreversible inhibitors. Irreversible and quasi-irreversible inhibition require at least one cycle of the CYP catalytic process. Because human liver samples and recombinant human CYPs are now readily available, in vitro systems have been used as screening tools to predict the potential for in vivo drug interaction. Although it is easy to determine in vitro metabolic drug interactions, the proper interpretation and extrapolation of in vitro interaction data to in vivo situations require a good understanding of pharmacokinetic principles. From the viewpoint of drug therapy, to avoid potential drug-drug interactions, it is desirable to develop a new drug candidate that is not a potent CYP inhibitor or inducer and the metabolism of which is not readily inhibited by other drugs. In reality, drug interaction by mutual inhibition between drugs is almost inevitable, because CYP-mediated metabolism represents a major route of elimination of many drugs, which can compete for the same CYP enzyme. The clinical significance of a metabolic drug interaction depends on the magnitude of the change in the concentration of active species (parent drug and/or active metabolites) at the site of pharmacological action and the therapeutic index of the drug. The smaller the difference between toxic and effective concentration, the greater the likelihood that a drug interaction will have serious clinical consequences. Thus, careful evaluation of potential drug interactions of a new drug candidate during the early stage of drug development is essential.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 2 <1%
France 1 <1%
New Zealand 1 <1%
Bangladesh 1 <1%
Unknown 263 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 19%
Student > Master 50 18%
Student > Bachelor 35 13%
Researcher 34 13%
Student > Postgraduate 15 6%
Other 39 14%
Unknown 47 17%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 50 18%
Agricultural and Biological Sciences 47 17%
Medicine and Dentistry 41 15%
Chemistry 31 11%
Biochemistry, Genetics and Molecular Biology 22 8%
Other 27 10%
Unknown 53 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 August 2013.
All research outputs
#3,829,175
of 26,017,215 outputs
Outputs from Clinical Pharmacokinetics
#212
of 1,639 outputs
Outputs of similar age
#35,858
of 291,382 outputs
Outputs of similar age from Clinical Pharmacokinetics
#53
of 497 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,639 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 86% 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 291,382 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 497 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.