Literature DB >> 2906595

Sulfation of acetaminophen in isolated rat hepatocytes. Relationship to sulfate ion concentrations and intracellular levels of 3'-phosphoadenosine-5'-phosphosulfate.

D J Sweeny1, L A Reinke.   

Abstract

The relationships among sulfate ion concentration, rates of acetaminophen (APAP) sulfation, and intracellular levels of the cofactor for sulfation, 3'-phosphoadenosine-5'-phosphosulfate (PAPS) were examined in isolated rat hepatocytes. APAP sulfation rates increased as the sulfate ion concentration was raised to 1.0 mM, after which further increases in sulfate ion concentration failed to influence rates of sulfation. Cellular PAPS levels were directly related to the sulfate ion concentration both in the presence and absence of APAP. However, PAPS levels were reduced by as much as 93% in the presence of APAP. At sulfate ion concentrations below 1.0 mM, the dependence of both rates of sulfation and levels of PAPS on the availability of sulfate ion indicates that rates of sulfation may be limited by the availability of PAPS when sulfate ion concentrations are in the physiological range. Because higher sulfate ion concentrations (greater than 1.0 mM) increased intracellular concentrations of PAPS without producing corresponding increases in APAP sulfation, phenol sulfotransferase activity may be rate limiting in the presence of high concentrations of sulfate ion.

Entities:  

Mesh:

Substances:

Year:  1988        PMID: 2906595

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  4 in total

1.  Sulfation and glucuronidation of acetaminophen by cultured hepatocytes reproducing in vivo sex-differences in conjugation on Matrigel and type 1 collagen.

Authors:  R E Kane; J Tector; J J Brems; A Li; D Kaminski
Journal:  In Vitro Cell Dev Biol       Date:  1991-12

2.  Effect of polysaccharide peptide (PSP) on in vivo sulphation and glucuronidation of paracetamol in the rat.

Authors:  J H Yeung; L C Chiu; V E Ooi
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1995 Oct-Dec       Impact factor: 2.441

3.  A multi-scale modeling framework for individualized, spatiotemporal prediction of drug effects and toxicological risk.

Authors:  Juan G Diaz Ochoa; Joachim Bucher; Alexandre R R Péry; José M Zaldivar Comenges; Jens Niklas; Klaus Mauch
Journal:  Front Pharmacol       Date:  2013-01-22       Impact factor: 5.810

4.  StanDep: Capturing transcriptomic variability improves context-specific metabolic models.

Authors:  Chintan J Joshi; Song-Min Schinn; Anne Richelle; Isaac Shamie; Eyleen J O'Rourke; Nathan E Lewis
Journal:  PLoS Comput Biol       Date:  2020-05-12       Impact factor: 4.475

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.