Assessment of liver metabolic function. Clinical implications
- PMID: 7988103
- DOI: 10.2165/00003088-199427030-00005
Assessment of liver metabolic function. Clinical implications
Abstract
Inter- and intraindividual variability in pharmacokinetics of most drugs is largely determined by variable liver function as described by parameters of hepatic blood flow and metabolic capacity. These parameters may be altered as a result of disease affecting the liver, genetic differences in metabolising enzymes, and various types of drug interactions, including enzyme induction, enzyme inhibition or down-regulation. With the now known large number of drug metabolising enzymes, their differential substrate specificity, and their differential induction or inhibition, each test substance of liver function should be used as a probe for its specific metabolising enzyme. Thus, the concept of model test-substances providing general information about liver function has severe limitations. To test the metabolic activity of several enzymes, either several test substances may be given (cocktail approach) or several metabolites of a single test substance may be analysed (metabolic fingerprint approach). The enzyme-specific analysis of liver function results in a preference for analysis of the metabolites rather than analysis of the clearance of the parent test substance. There are specific methods to quantify the activity of cytochrome P450 enzymes such as CYP1A2, CYP2C9, CYP2C19MEPH, CYP2D6, CYP2E1, and CYP3A, and phase II enzymes, such as glutathione S-transferases, glucuronyl-transferases or N-acetyltransferases, in vivo. Interactions based on competitive or noncompetitive inhibition should be analysed specifically for the cytochrome P450 enzyme involved. At least 5 different types of cytochrome P450 enzyme induction may result in major variability of hepatic function; this may be quantified by biochemical parameters, clearance methods, or highly enzyme-specific methods such as Western blot analysis or molecular biological techniques such as mRNA quantification in blood and tissues. Therapeutic drug monitoring is already implicitly used for quantification of the enzyme activities relevant for a specific drug. Selective impairment of hepatic enzymes due to gene mutations may have an effect on the pharmacokinetics of certain drugs similar to that caused by cirrhosis. Assessment of this heritable source of variability in liver function is possible by in vivo or ex vivo enzymological methods. For genetically polymorphic enzymes and carrier proteins involved in drug disposition, molecular genetic methods using a patient's blood sample may be used for classification of the individual into: (i) the impaired or poor metaboliser (homozygous deficient); (ii) the extensive (homozygous active) metaboliser group; and (iii) the moderately extensive metaboliser (heterozygous) group. For hepatic blood flow determinations, galactose or sorbitol given at relatively low doses may be much better indicators than the indocyanine green.(ABSTRACT TRUNCATED AT 400 WORDS)
Similar articles
-
Clinical importance of non-genetic and genetic cytochrome P450 function tests in liver disease.J Clin Pharm Ther. 1998 Jun;23(3):161-70. doi: 10.1046/j.1365-2710.1998.00135.x. J Clin Pharm Ther. 1998. PMID: 9831966 Review.
-
Fasting-Induced Changes in Hepatic P450 Mediated Drug Metabolism Are Largely Independent of the Constitutive Androstane Receptor CAR.PLoS One. 2016 Jul 19;11(7):e0159552. doi: 10.1371/journal.pone.0159552. eCollection 2016. PLoS One. 2016. PMID: 27434302 Free PMC article.
-
Identification and characterization of the cytochrome P450 enzymes involved in N-dealkylation of propafenone: molecular base for interaction potential and variable disposition of active metabolites.Mol Pharmacol. 1993 Jan;43(1):120-6. Mol Pharmacol. 1993. PMID: 8423765
-
Alternative cyclosporine metabolic pathways and toxicity.Clin Biochem. 1995 Dec;28(6):547-59. doi: 10.1016/0009-9120(95)00037-3. Clin Biochem. 1995. PMID: 8595701 Review.
-
Use of in vitro and in vivo data to estimate the likelihood of metabolic pharmacokinetic interactions.Clin Pharmacokinet. 1997 Mar;32(3):210-58. doi: 10.2165/00003088-199732030-00004. Clin Pharmacokinet. 1997. PMID: 9084960 Review.
Cited by
-
Long Non-coding RNA and mRNA Profile of Liver Tissue During Four Developmental Stages in the Chicken.Front Genet. 2020 Jun 16;11:574. doi: 10.3389/fgene.2020.00574. eCollection 2020. Front Genet. 2020. PMID: 32612636 Free PMC article.
-
Hepatic progenitor cell activation is induced by the depletion of the gut microbiome in mice.Microbiologyopen. 2019 Oct;8(10):e873. doi: 10.1002/mbo3.873. Epub 2019 May 16. Microbiologyopen. 2019. PMID: 31094067 Free PMC article.
-
Influence of diet and nutritional status on drug metabolism.Clin Pharmacokinet. 1996 Jul;31(1):47-64. doi: 10.2165/00003088-199631010-00004. Clin Pharmacokinet. 1996. PMID: 8827399 Review.
-
Dynamic carbon 13 breath tests for the study of liver function and gastric emptying.Gastroenterol Rep (Oxf). 2015 Feb;3(1):12-21. doi: 10.1093/gastro/gou068. Epub 2014 Oct 21. Gastroenterol Rep (Oxf). 2015. PMID: 25339354 Free PMC article. Review.
-
Cytochrome P450 2D6 variants in a Caucasian population: allele frequencies and phenotypic consequences.Am J Hum Genet. 1997 Feb;60(2):284-95. Am J Hum Genet. 1997. PMID: 9012401 Free PMC article.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources