Evidence map›Paper›PMID 16542204›Full record

ArticleBritish journal of clinical pharmacology2006

Quantitative prediction of in vivo inhibitory interactions involving glucuronidated drugs from in vitro data: the effect of fluconazole on zidovudine glucuronidation.

Verawan Uchaipichat, Leanne K Winner, Peter I Mackenzie, David J Elliot, J Andrew Williams, John O Miners

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 176 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Enzyme Kinetics of Uridine Diphosphate Glucuronosyltransferases (UGTs).Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  8. Review
  9. Article
  10. Influence of Stereochemistry on the Bioactivation and Glucuronidation of 4-Ipomeanol.The Journal of pharmacology and experimental therapeutics · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Physiologically based pharmacokinetic modeling of disposition and drug-drug interactions for valproic acid and divalproex.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 3 institutions in 2 countries.

Verawan UchaipichatDepartment of Clinical Pharmacology, Flinders University and Flinders Medical Centre, Adelaide, SA, Australia.
Leanne K Winner
Peter I Mackenzie
David J Elliot
J Andrew Williams
John O Miners
Pfizer (United States) · USFlinders Medical Centre · AUFlinders University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsUsing the fluconazole-zidovudine (AZT) interaction as a model, to determine whether inhibition of UDP-glucuronosyltransferase (UGT) catalysed drug metabolism in vivo could be predicted quantitatively from in vitro kinetic data generated in the presence and absence bovine serum albumin (BSA).

methodsKinetic constants for AZT glucuronidation were generated using human liver microsomes (HLM) and recombinant UGT2B7, the principal enzyme responsible for AZT glucuronidation, as the enzyme sources with and without fluconazole. K(i) values were used to estimate the decrease in AZT clearance in vivo.

resultsAddition of BSA (2%) to incubations decreased the K(m) values for AZT glucuronidation by 85-90% for the HLM (923 +/- 357 to 91 +/- 9 microm) and UGT2B7 (478-70 microm) catalysed reactions, with little effect on V(max). Fluconazole, which was shown to be a selective inhibitor of UGT2B7, competitively inhibited AZT glucuronidation by HLM and UGT2B7. Like the K(m), BSA caused an 87% reduction in the K(i) for fluconazole inhibition of AZT glucuronidation by HLM (1133 +/- 403 to 145 +/- 36 microm) and UGT2B7 (529 to 73 microm). K(i) values determined for fluconazole using HLM and UGT2B7 in the presence (but not absence) of BSA predicted an interaction in vivo. The predicted magnitude of the interaction ranged from 41% to 217% of the reported AUC increase in patients, depending on the value of the in vivo fluconazole concentration employed in calculations.

conclusionsK(i) values determined under certain experimental conditions may quantitatively predict inhibition of UGT catalysed drug glucuronidation in vivo.

Indexed as

AlamethicinAntifungal AgentsAntimetabolitesCell LineDose-Response Relationship, DrugDrug InteractionsFluconazoleGlucuronosyltransferaseHumansMicrosomes, LiverRecombinant ProteinsSerum Albumin, BovineTrifluoperazineUncoupling AgentsZidovudineAlamethicinAntifungal AgentsAntimetabolitesFluconazoleGlucuronosyltransferaseRecombinant ProteinsSerum Albumin, BovineTrifluoperazineUGT2B7 protein, humanUncoupling AgentsZidovudine

Identifiers

PMID16542204
PMCPMC1885031
OpenAlexW2148633929

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.