The role of hepatic transporters in drug elimination

COMMENT: This article helps develop a picture of hepatic cells transporters, both the ABC and the SLC superfamilies and of the drugs they transport. ABC effluxers line the bile canniculi and export drugs into the bile while the SLCs are poised on the basolateral or blood border and influx drugs, both anionic and cationic. Phase 1 and 2 metabolic structures lie in between. Unlike the CYPs, but like the UGTs, both families of transporters handle both endogenous and exogenous compounds. As example, SLCO1B1 (OATP1B1) imports into the hepatic cell both bile salts as well as a variety of drugs including the statins, bosentan, olmesartan and valsartan. This sets up the possibility of many drug interactions when drugs that are SLCO1B1(OATP1B1) inhibitors are added to drugs that are substrates of the same transporter. Gemfibrozil inhibits SLCO1B1 and levels of pravastatin double since the drug can no longer be influxed into the hepatic cell and sent along to the bile by ABCC2. Instead pravastatin stays in the systemic circulation. These transporter-based DDI are just coming into the scientific literature with the development of more specific probes and knock out mice.

ABSTRACT: The role of hepatic transporters in drug elimination. Funk C.

BACKGROUND: Hepatic drug transporters of the solute carrier (OATPs, OAT2, OCT1, NTCP) and ABC transporter superfamilies (MDR1, MRPs, BCRP, BSEP) can significantly modulate drug ADME routes.

OBJECTIVE: The currently available literature was reviewed with focus on hepatic drug transporters, related drug-drug interactions and available tools for transporter assessment and extrapolation to in vivo.

CONCLUSIONS: Hepatic drug transporters have gained additional importance in drug clearance by optimization for basic DMPK properties early on in drug research. However, the lack of selective substrates and inhibitors, proper assessment of the kinetic properties due to interfering passive permeability and multiple binding sites, as well as endogenous transporters present in many cellular assays, are some of the hurdles in studying active drug transport processes. Therefore, data from these in vitro assays have to be carefully evaluated to allow sound extrapolation to the in vivo situation.

 

 

OATP Knock Out Murine Model

COMMENT: The mutant in vivo mouse model or the so-called “knock out” (ko) mouse in which a single gene is deleted or disrupted is increasingly used for the exploration of drug interactions. In the case of the OATP transporters, the so-called SLCO or SLC21 subfamily, the mouse has a single hepatic SLCO transporter, the SLC01B2 tranporter, in place of the 2 human hepatic transporters, SLC01B1 and SLCO1B3 which reside on the basolateral membrane of liver cells (the portal vein side) and influx many common drugs including rifampin and pravastatin.

In this article, details are given of how this “ko” mouse was utilized to test these 2 known SLCO substrates. Conjugated bilirubin was modestly increased, but no jaundice was seen in the ko mice suggesting that other liver transporters take up the slack of importing conjugated bilirubin when SLCO1B2 is lacking. The plasma AUC of rifampin in the KO mouse was 1.7 times that of the wild-type and the plasma clearance of rifampin was reduced. Pravastatin was similarly affected. The authors make it clear that mice SLCOs are different enough from humans that an exact comparison remains unjustifiable, but this in vivo animal model is useful for substrate, inhibitor and inducer analysis as well as drug interaction testing.

ABSTRACT:Mol Pharmacol. 2008 Apr 15 [Epub ahead of print] Targeted Disruption of Murine Organic Anion-Transporting Polypeptide 1b2 (oatp1b2/Slco1b2) Significantly Alters Disposition of Prototypical Drug Substrates Pravastatin and Rifampin. Zaher H, Meyer Zu Schwabedissen HE, Tirona RG, Cox ML, Obert LA, Agrawal N, Palandra J, Stock JL, Kim RB, Ware JA.

Organic anion transporting polypeptide (OATP) 1B1 and 1B3 are widely acknowledged as important and rate-limiting to the hepatic uptake of many drugs in clinical use. Accordingly, to better understand the in vivo relevance of OATP1B transporters, targeted disruption of murine Slco1b2 gene was carried out. Interestingly,Slco1b2(-/-) mice were fertile, developed normally, and did not exhibit any overt phenotypic abnormalities. We confirmed the loss of Oatp1b2 expression in liver using real-time PCR, Western Blot analysis and immunohistochemistry. Oatp1a4 and Oatp2b1, but not Oatp1a1 expression was greater in female Slco1b2(-/-) mice, but expression of other non-oatp transporters did not significantly differ between wildtype and Slco1b2(-/-) males. Total bilirubin level was elevated by 2-fold in the Slco1b2(-/-) mice despite that liver enzymes ALT and AST were normal. Pharmacological characterization was carried out using two prototypical substrates of human OATP1B1 and 1B3, rifampin and pravastatin. After a single intravenous dose of rifampin (1mg/kg), a 1.7-fold increase in plasma AUC was observed while the liver-to-plasma ratio was reduced by 5-fold, and nearly 8- fold when assessed at steady -state conditions after 24 hours of continuous subcutaneous (SC) infusion in Slco1b2(-/-) mice.

Similarly, continuous SC-infusion at low dose rate (8 microg/hr) or high dose rate (32 microg/hr) pravastatin resulted in a 4-fold lower liver-plasma ratio in the in Slco1b2(-/-) mice. This is the first report of altered drug disposition profile in the Slco1b2 knockout mice and suggests the utility of this model for understanding the in vivo role of hepatic OATP transporters in drug disposition.

 

 

 

Desipramine / Bupropion Clinical Drug-Drug Interaction

COMMENT: The fact that desipramine levels were doubled with the addition of bupropion was a surprising clinical event because bupropion’s Ki is so high that it was though not possible for it to significntly inhibit CYP2D6 (IC50 is more than 50uM). In this in vitro study, it is shown that the actual culprits (perpetrators) of CYP2D6 inhibition are 2 of bupropion’s active metabolites (threohydrobupropion and erythrohydrobupropion) that are competitive inhibitors of CYP2D6- with a Ki of 1.7 for the latter in contrast to the Ki of 2.8 for desipramine’s inhibition of CYP2D6. Although this in vitro finding fits nicely into predictive models of the drug interaction, it must be remember that in vitro data sometimes does not translate into in vivo data.

ABSTRACT: Drug Metab Dispos. 2008 Apr 17 [Epub ahead of print] An in Vitro Mechanistic Study to Elucidate the Desipramine / Bupropion Clinical Drug-Drug Interaction. Reese MJ, Wurm RM, Muir K, Generaux G, St John-Williams L, McConn D.

There are documented clinical drug-drug interactions between bupropion and the CYP2D6-metabolised drug, desipramine, resulting in marked (5-fold) increases in desipramine exposure. This finding was unexpected as CYP2D6 does not play a significant role in bupropion clearance, and bupropion and its major active metabolite, hydroxybupropion, are not strong CYP2D6 inhibitors in vitro. The aims of this study were to investigate whether bupropion’s reductive metabolites, threohydrobupropion and erythrohydrobupropion, contribute to the drug interaction with desipramine. In human liver microsomes using the CYP2D6 probe substrate bufuralol, erythrohydrobupropion and threohydrobupropion were more potent inhibitors of CYP2D6 activity (Ki = 1.7 microM and 5.4 microM, respectively) than hydroxybupropion (Ki = 13microM) or bupropion (Ki = 21microM). Further, neither bupropion nor its metabolites were metabolism-dependent CYP2D6 inhibitors. Using the in vitro kinetic constants and estimated liver concentrations of bupropion and its metabolites, modeling was able to predict within two-fold the increase in desipramine exposure observed when co-administered with bupropion. This work indicates that the reductive metabolites of bupropion are potent competitive CYP2D6 inhibitors in vivo and provides a mechanistic explanation for the clinical drug-drug interaction between bupropion and desipramine.

PMID: 18420781

Science magazine fuels DNA testing controvery with prejudicial misquote

There is a policy comment due out in Science today in which Genelex’s website is prejudicially quoted out of context.   

The quote in the article is:  

“Some Web sites make explicit claims about the utility of CYP450 testing for particular drugs, such as the claim by Genelex that pharmacogenetic testing is “required to effectively prescribe Paxil” (10).  

The actual statement is:  

Paxil (paroxetine) is metabolized through CYP2D6. Pharmacogenetic testing of this pathway serves as an anchor for the intense personalization required to effectively prescribe Paxil and other antidepressant medicines.   http://www.healthanddna.com/professional/paxil.html   

We are narrowing the focus of our response to the focus of the policy comment – SSRIs. However, this focus also points out the continuing problem in healthcare of putting patient information in silos. The fact is just three P450 enzymes – 2D6, 2C9, and 2C19 are responsible for the metabolism of over half of commonly prescribed medications and over half of the population has a variation in one of these key processing enzymes. This information can be used for a lifetime to help caregivers provide more effective and safe treatment regimens. Considering that adverse drug reactions currently kill twice as many as people as vehicle accidents and cost billions of healthcare dollars, a panel that costs less than installing an airbag will certainly prove to be cost-effective when taken in the context of overall medication management not one medication or class at a time. 

Relevant facts and quotes: 

-“The cytochrome P-450 test represents a major advance in the ability to provide the best care possible for depression”  Access April 2, 2008 Mayo Clinic Web site http://www.mayoclinic.org/depression/cytochrome.html  

-Hospitalized psychiatric patients who are poor metabolizers cost $4,000 - $6,000 more in medical care compared to patients with an average metabolizer genotype. Virtually, all antidepressants and antipsychotic medicines are processed by enzymes with a high incidence of poor metabolizers. Journal of Clinical Psycopharmacology 20:246 2000 

- Fifty-nine percent of drugs most commonly cited in ADR studies are processed by enzymes with genes known to have poormetabolizer variants. This is compared to 7% of a random selection of the top selling drugs. (JAMA 286:2270 2001). 

- Multiple studies have found that people with CYP variants require lower doses of the affected medications. Molecular Psychiatry 9:442-473, 2004 - Hundreds of studies stretching back to the 1960s of the genetics of CYP2D6, 2C9, and 2C19 have led the FDA to consider DNA testing of the genes for these enzymes as valid biomarkers of in vivo drug levels. Tox Mech Meth 16:89-99, 2006

 -  “Putting what we know into practice would prevent more disease than worshiping at the altar of randomized trials.”John Concato, MD (Director, VA Clinical Epidemiology Research Center, Yale University)  

Genelex’s Position: 

-  Individuals have a right to learn their genotype and control that information. If patients are denied direct access to this testing they may be reluctant to be tested because they are not confident that the confidentiality of the test results will be adequately protected.

 - Excessive regulation, such as is advocated by the Genetics and Public Policy Center, will impede the already excessively slow rate of adoption of DNA testing for use in medication management. Were this testing adopted at a faster pace there are likely tens of thousands of adverse medical events that would have been prevented.  

- There needs to be symmetry between the level of proof required for the adoption of a technology and the potential risk and cost benefit ratios. 

 -   A peer developed rating system that describes where a given test lies on the continuum of scientific knowledge about the utility, acceptance and proof of that test. In this way individuals would be provided with the tools needed to help them make informed decisions.  

Randomized trials are in progress that will add to our knowledge. In the meantime clinicians and patients who find this information useful should have access to it. Physicians don’t prescribe without knowing the patient’s age, sex, and medical history. In many instances CYP genetics are more important than all these other factors combined. The trend in psychiatry is to utilize polypharmacy and many of these patients have co-morbid conditions for which they are also receiving drugs. The complexity of these medication regimens heightens the need for DNA testing and the use of interpretive software as a step toward comprehensive personalized medication management.

Pharmacokinetic Interaction Between Tadalafil and Bosentan in Healthy Male Subjects

COMMENT: Combinations of agents are being tried for pulmonary arterial hypertension (PAH)- a serious illness with a limited life expectancy. The clinical study below shows that the combination of a PDE5 inhibitor, tadalafil with bosentan, an agent already in use for PAH leads to the significant reduction in exposure of tadalafil because of the induction of CYP3A4 by bosentan.

ABSTRACT: Clin Pharmacol. 2008 Feb 27 Pharmacokinetic Interaction Between Tadalafil and Bosentan in Healthy Male Subjects. Wrishko RE, Dingemanse J, Yu A, Darstein C, Phillips DL, Mitchell MI. Lilly Research Laboratories.

Tadalafil, an oral phosphodiesterase 5 (PDE5) inhibitor, is being investigated as a treatment for pulmonary arterial hypertension. Bosentan is an oral endothelin receptor antagonist widely used in the treatment of pulmonary arterial hypertension.Tadalafil is mainly metabolized by cytochrome P450 (CYP) 3A4, and as bosentan induces CYP2C9 and CYP3A4, a pharmacokinetic interaction is possible between these agents. This open-label, randomized study investigated whether any pharmacokinetic interaction exists between tadalafil and bosentan. Healthy adult men (n = 15; 19-52 years of age) received 10 consecutive days of tadalafil 40 mg once daily, bosentan 125 mg twice daily, and a combination of both in a 3-period, crossover design. Following 10 days of multiple-dose coadministration of bosentan and tadalafil, compared with tadalafil alone, tadalafil geometric mean ratios (90% confidence interval [CI]) for AUCtau and Cmax were 0.59 (0.55, 0.62) and 0.73 (0.68, 0.79), respectively, with no observed change in tmax. Following coadministration of bosentan with tadalafil, bosentan ratios (90% CI) for AUCtau and Cmax were 1.13 (1.02, 1.24) and 1.20 (1.05, 1.36), respectively. Tadalafil alone and combined with bosentan was generally well tolerated. In conclusion, after 10 days of coadministration, bosentan decreased tadalafil exposure by 41.5% with minimal and clinically irrelevant differences (<20%) in bosentan exposure.

PMID: 18305126

Drug-drug interactions in a geriatric outpatient cohort

COMMENT: This article speaks to the clinical significance of drug interactions in a particularly susceptible population, the elderly.

ABSTRACT:
Drugs Aging. 2008;25(4):343-55. Drug-drug interactions in a geriatric outpatient cohort: prevalence and relevance. Tulner LR, Frankfort SV, Gijsen GJ, van Campen JP, Koks CH, Beijnen JH. Department of Geriatric Medicine, Slotervaart Hospital, Amsterdam, the Netherlands.

BACKGROUND:
The prevalence of drug-drug interactions (DDIs) in a geriatric population may be high because of polypharmacy. However, wide variance in the clinical relevance of these interactions has been shown.

OBJECTIVES:
To explore whether adverse drug reactions (ADRs) as a result of DDIs can be identified by clinical evaluation, to describe the prevalence of ADRs and diminished drug effectiveness as a result of DDIs and to verify whether the top ten most frequent potential DDIs known to public pharmacies are of primary importance in geriatric outpatients in the Netherlands.

METHOD:
All adverse events classified by the Naranjo algorithm as being a possible ADR and drug combinations resulting in diminished drug effectiveness were identified prospectively in 807 geriatric outpatients (mean age 81 years) at their first visit. The setting was a diagnostic day clinic.The Medication Appropriateness Index (MAI) and Beers criteria were used to evaluate drug use and identify possible DDIs. The ten most frequent potential interactions, according to a 1997 national database of public pharmacies (’Top Ten’) in the Netherlands, and possible adverse events as a result of other interactions, were described. The effects of changes in medication regimen were recorded by checking the medical records.

RESULTS:
In 300 patients (44.5% of the 674 patients taking more than one drug), 398 potential DDIs were identified. In 172 (25.5%) of patients taking more than one drug, drug combinations were identified that were responsible for at least one ADR or which possibly resulted in reduced effectiveness of therapy. Eighty-four of the 158 possible ADRs resulting from enhanced action of drugs forming combinations listed in the ‘Top Ten’ were seen in 73 patients. Only four DDIs resulting in less effective therapy that involved drug combinations in the ‘Top Ten’ were identified. Changes in drug regimens pertaining to possible interactions were proposed or put into effect in 111 of the 172 (65%) patients with possible DDIs. Sixty-one (55%) of these patients returned for follow-up. Of these, 49 (80%) were shown to have improved after changes were made to their medication regimen.

CONCLUSION:
In this study, nearly half of the geriatric outpatients attending a diagnostic day clinic who were taking more than one drug were candidates for DDIs. One-quarter of these patients were found to have possible adverse events or diminished treatment effectiveness that may have been at least partly caused by these DDIs. These potential interactions can be identified through clinical evaluation.In the majority of patients (99 of 172) the potential interactions resulting in possible ADRs or diminished effectiveness were not present in the ‘Top Ten’ interactions described by a national database of public pharmacies, a finding that emphasizes that the particular characteristics of geriatric patients (e.g. frequent psychiatric co-morbidities) need to be considered when evaluating their drug use. At least 7% of all patients taking more than one drug, and 80% of those with possible drug interactions whose drug regimen was adjusted, benefited from changes made to their drug regimens.

PMID: 18361544

Comparison of two immortalized human cell lines to study nuclear receptor mediated CYP3A4 induction

Harmsen S, Koster A, Beijnen JH, Schellens JH, Meijerman I.Utrecht University.

Since cytochrome P450 3A4 (CYP3A4) is responsible for the biotransformation of over 50% of all clinically used drugs, induction results in an increased clearance of many concomitantly administered drugs, thereby decreasing treatment efficacy or, in the case of pro-drugs, lead to severe intoxications. CYP3A4 induction is regulated by the pregnane X receptor, constitutive androstane receptor, and vitamin D receptor. Since these nuclear receptors show large interspecies differences, accurate prediction of nuclear receptor mediated CYP3A4 induction in humans requires the use of human systems. As primary cultures of human hepatocytes or enterocytes have major drawbacks like poor availability and poor reproducibility, human cell lines are a good alternative. In this study, the widely used HepG2 cell line was compared the LS180 cell line to serve as a model to study CYP3A4 induction. There was a clear difference between the cell lines with respect to CYP3A enzyme expression and induction. In LS180 CYP3A4 was expressed and was found to be induced by prototypical nuclear receptor agonists, while in HepG2 CYP3A4 was non-responsive to treatment with rifampicin, CITCO or calcitriol. We subsequently evaluated if these host-cell differences also have an effect on CYP3A4 reporter gene activity. We clearly show that there are differences in CYP3A4 reporter activity between the cell lines, and based on these results and those found on mRNA and protein level, we conclude that LS180 is a more suitable cell line to study CYP3A4 induction than the widely used HepG2.PMID: 18347084 [PubMed - as supplied by publisher]

Pharmacokinetic interactions between contraceptives and antiepileptic drugs

COMMENT: This is a short review of an important subject especially for psychiatrists and neurologists. Apart from the usual warnings about inactivating the effects of oral contraceptives (OCs) by the antiepileptic potent CYP3A4 inducers (e.g., phenobarbital, phenytoin, etc), there is also a warning about the induction BY oral contraceptives of the UGTs responsible for lamotrigine and valproate. With traditional week-free OCs, levels of these two drugs will increase during that time ( and conversely they are decreased when OCs are present). There are 3 possible strategies. The authors suggest reducing lamotrigine by 25% during that week free of OCs. Two additional strategies which can also be used for valproate are: 1- switching to an OC that has no week-free period and are continuously given daily (e.g.., Seasonale) and 2- switching to a progesterone only OC which will not induce the UGTs. We know that lamotrigine is a substrate of UGT1A4 and UGT2B7 and that valproate inhibits the latter to cause the substantial increases in lamotrigine thought to predispose Stevens-Johnson syndrome. However, it is not clear which UGT ethinyl estradiol induces to increase the conjugation of lamotrigine. The authors also mention that other antiepileptic undergo glucuronidation, but it is not known if OCs induce the UGT that conjugate them as well. 

 

ABSTRACT: Seizure2008 Mar;17(2):141-4. Pharmacokinetic interactions between contraceptives and antiepileptic drugs. Sabers A.

The occurrence of bi-directional drug interactions between antiepileptic drugs (AEDs) and combined oral contraceptives (OCs) pose potential risks of un-intended pregnancy and as well as seizure deterioration. It is well established that several of the older AEDs (carbamazepine, phenytoin and phenobarbital), are strong inducers of the hepatic cytochrome P450 (CYP) 3A4 enzyme system, and are associated with increased the risk of contraceptive failure. In addition, it is demonstrated that also some of the newer AEDs, oxcarbazepine and topiramate influence on the pharmacokinetics of OCs, which is thought to be due to a more selective induction of subgroups of the hepatic enzyme system. Estrogens containing OCs induce the glucuronosyltransferase and may reduce the plasma levels and the effect of AEDs cleared by glucuronidation. This has been most intensively studied for lamotrigine but also other AEDs, which undergoes glucuronidation processes, such as valproate and oxcarbazepine, may be affected by OCs. The magnitude of the drug-drug interactions show in general wide inter-individual variability and the change in the elimination rate is often unpredictable and can be influenced by a number of co-variants such as co-medication of other drugs, as well as genetic and environmental factors. It is therefore recommended that change in OC use is assisted by AED monitoring whenever possible. 

PMID: 18206393

CYP2C19*17

COMMENT: Only in the last year has a new allele of CYP2C19 been recognized. CYP2C19*17 is associated with ultrarapid metabolizer status. Omeprazole is not only a probe drug for this CYP, but it is a widely used PPI throughout the world. The fact that individual who are homozygotic for this allele will have 2.1-fold lower concentration of omeprazole as shown by the study abstracted below is highly significant and can be associated with therapeutic failure. This is also likely to be significant for other drugs that use CYP2C19 as their major metabolic pathway.A recent study of clopidogrel showed the importance of heterozygous and poor metabolizer status on blood levels and it is only a matter of time before ultraextensive CYP2C19 metabolizer will be shown to have decreased levels of clopidogrel. Other CYP2C19 substrates such as citalopram, moclobemide, carisoprodol may be affected. Prodrugs that are metabolized to their active metabolite: cyclophosphamide, ifosphosphomide and proguanil will have increased levels in CYP2C19 ultrarapid metabolzers. It is not currently known how common this allele is. Stay tuned for more on CYP2C19*17

ABSTRACTS:Br J Clin Pharmacol. 2008 Feb 20Increased omeprazole metabolism in carriers of the CYP2C19*17 allele; a pharmacokinetic study in healthy volunteers.Baldwin RM, Ohlsson S, Pedersen RS, Mwinyi J, Ingelman-Sundberg M, Eliasson E, Bertilsson L Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet and Division of Clinical Pharmacology, Department of Laboratory Medicine at Karolinska Institutet, Karolinska University Hospital, Huddinge, Stockholm, Sweden.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT
The only existing study of CYP2C19*17-associated alterations in drug pharmacokinetics was retrospective and compared probe drug metabolic ratios. * The CYP2C19*17 allele had been associated with a two- and fourfold decrease in omeprazole and S/R-mephenytoin metabolic ratios.
WHAT THIS STUDY ADDS
This study characterized the single-dose pharmacokinetics of omeprazole, along with the 5-hydroxy and sulphone metabolites, in CYP2C19*17/*17 and CYP2C19*1/*1 subjects. * The observed differences in omeprazole AUC(infinity) suggest that the CYP2C19*17 allele is an important explanatory factor behind individual cases of therapeutic failure.
AIMS
To investigate the influence of the CYP2C19*17 allele on the pharmacokinetics of omeprazole, a commonly used CYP2C19 probe drug, in healthy volunteers.METHODSIn a single-dose pharmacokinetic study, 17healthy White volunteers genotyped as either CYP2C19*17/*17 or CYP2C19*1/*1 received an oral dose of 40 mg of omeprazole. Plasma was sampled for up to 10 h postdose, followed by quantification of omeprazole, 5-hydroxy omeprazole and omeprazole sulphone by high-performance liquid chromatography.
RESULTS
The mean omeprazole AU (infinity) of 1973 h nmol l(-1) in CYP2C19*17/*17 subjects was 2.1fold lower [95% confidence interval (CI) 1.1, 3.3] than in CYP2C19*1/*1 subjects (4151 h nmol l(-1), P = 0.04). A similar trend was observed for the sulphone metabolite with the CYP2C19*17/*17 group having a mean AUC(infinity) of 1083 h nmol l(-1), 3.1-fold lower (95% CI 1.2, 5.5) than the CYP2C19*1/*1 group (3343 h nmol l(-1), P =0.03). A pronounced correlation (r(2) = 0.95, P < 0.0001) was seen in the intraindividual omeprazole AUC(infinity) and omeprazole sulphone AUC(infinity) values.
CONCLUSIONS
The pharmacokinetics of omeprazole and omeprazole sulphone differ significantly between homozygous CYP2C19*17 and CYP2C19*1 subjects. For clinically important drugs that are metabolized predominantly by CYP2C19, the CYP2C19*17 allele might be associated with subtherapeutic drug exposure. PMID: 18294333Clin Pharmacol Ther. 2008 Mar 5The Effect of CYP2C19 Polymorphism on the Pharmacokinetics and Pharmacodynamics of Clopidogrel: A Possible Mechanism for Clopidogrel Resistance.Kim K, Park P, Hong S, Park JY.Department of Clinical Pharmacology and Toxicology, Anam Hospital, Korea University College of Medicine, Seoul, Korea.We evaluated the effect of the CYP2C19 genotype on the pharmacokinetics and pharmacodynamcis of clopidogrel. Twenty-four subjects were divided into three groups on the basis of their CYP2C19 genotype: homozygous extensive metabolizers (homoEMs, n = 8), heterozygous EMs (heteroEMs, n = 8), and poor metabolizers (PMs, n = 8).
After a single 300-mg loading dose of clopidogrel on day 1, followed by a 75-mg daily maintenance dose from days 2 to 7, we measured the plasma levels of clopidogrel and assessed the antiplatelet effect as pharmacodynamics. The mean clopidogrel area under the curve (AUC) for PMs was 1.8- and 2.9-fold higher than that for heteroEMs and homoEMs, respectively (P = 0.013). The mean peak plasma concentration in PMs was 1.8- and 4.7-fold higher than that of heteroEMs and homoEMs, respectively (P = 0.008). PMs exhibited a significantly lower antiplatelet effect than heteroEMs or homoEMs (P < 0.001). From these findings it is clear that the CYP2C19 genotype affects the plasma levels of clopidogrel and modulates the antiplatelet effect of clopidogrelPMID 18323861.

ABC drug transporters as molecular targets for the prevention of multidrug resistance and drug-drug interactions

COMMENT: Research about the ABC transporters has been skyrocketing in the last 3 years. These transporters also are involved in drug transport in many organs of the body including both reabsorption and tubular secretion in the kidney. Best known of this group, ABCB1 or also known as p-glycoprotein has occupied the forefront of research. Like ABCB1, there are other 2 other important ABC transporters that are involved in multidrug resistance (MDR), ABCC1 and ABCG2. This article reviews the methodology that is used to categorize the substrates and particularly important, the inhibitors of the ABC transporters involved in MDR-ABCB1, ABCC1 and ABCG2. The quest to find inhibitors of these transporters will have enormous clinical value since they can inhibit MDR and thus allow oncologic drugs to continue to be effective. 

ABSTRACT:

Curr Drug Deliv. 2007 Oct;4(4):324-33.
ABC drugtransporters as molecular targets for the prevention of multidrug resistance and drug-drug interactions.
Calcagno AM, Kim IW, Wu CP, Shukla S, Ambudkar SV.Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, NIH/DHHS, Bethesda, MD 20892, USA.calcagnoa@mail.nih.gov
ABC transporters play an important role in mediating the cytoplasmic concentration of endogenous and xenobiotic substances. They therefore influence the pharmacokinetic profile of a variety of drugs. By virtue of their localization to plasma membranes in the intestine, liver, blood-brain and other vital biological barriers, a majority of ABC drug transporters cause drug-drug interactions, decreased drug efficacy and multidrug resistance for chemotherapeutic agents. Thus, elucidating which drug entities are substrates for ABC drug transporters is a crucial step in the drug development and treatment process. Here, we review the current status of methodology used to categorize drug compounds as substrates or modulators for the major ABC drug transporters including ABCB1, ABCC1 and ABCG2.  PMID: 17979652