Literature DB >> 23887590

Effect of Ritonavir on (99m)Technetium-Mebrofenin Disposition in Humans: A Semi-PBPK Modeling and In Vitro Approach to Predict Transporter-Mediated DDIs.

N D Pfeifer1, S L Goss, B Swift, G Ghibellini, M Ivanovic, W D Heizer, L M Gangarosa, K L R Brouwer.   

Abstract

A semiphysiologically based pharmacokinetic (semi-PBPK) model was developed to describe a unique blood, liver, and bile clinical data set for the hepatobiliary imaging agent (99m)Technetium-mebrofenin ((99m)Tc-mebrofenin), and to simulate sites/mechanisms of a (99m)Tc-mebrofenin-ritonavir drug-drug interaction (DDI). The transport inhibitor ritonavir (multiple-dose: 2 × 300 mg) significantly increased systemic (99m)Tc-mebrofenin exposure as compared with control (4,464 ± 1,861 vs. 1,970 ± 311 nCi min/ml; mean ± SD), without affecting overall hepatic exposure or biliary recovery. A novel extrahepatic distribution compartment was required to characterize (99m)Tc-mebrofenin disposition. Ritonavir inhibited (99m)Tc-mebrofenin accumulation in human sandwich-cultured hepatocytes (SCH) (half maximal inhibitory concentration (IC50) = 3.46 ± 1.53 µmol/l). Despite ritonavir accumulation in hepatocytes, intracellular binding was extensive (97. 6%), which limited interactions with multidrug resistance protein 2 (MRP2)-mediated biliary excretion. These in vitro data supported conclusions from modeling/simulation that ritonavir inhibited (99m)Tc-mebrofenin hepatic uptake, but not biliary excretion, at clinically relevant concentrations. This integrated approach, utilizing modeling, clinical, and in vitro data, emphasizes the importance of hepatic and extrahepatic distribution, assessment of inhibitory potential in relevant in vitro systems, and intracellular unbound concentrations to assess transporter-mediated hepatic DDIs.CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e20; doi:10.1038/psp.2012.21; advance online publication 2 January 2013.

Entities:  

Year:  2013        PMID: 23887590      PMCID: PMC3600725          DOI: 10.1038/psp.2012.21

Source DB:  PubMed          Journal:  CPT Pharmacometrics Syst Pharmacol        ISSN: 2163-8306


Transport proteins present in clearance organs, specifically liver and kidney, are a well-recognized source of potential drug–drug interactions (DDIs).[1,2] Inhibition of uptake and/or efflux transporters in the polarized cells of clearance organs may alter drug exposure in the organ, in the systemic circulation, or in both, leading to changes in efficacy and/or toxicity.[3,4] Changes in systemic exposure may be detected from the blood concentration–time curve, whereas organ exposure is more difficult to assess. However, assessing organ drug exposure is important to understand, in a comprehensive manner, the effects of altered transport function and identify the specific site(s) and magnitude of DDIs. Scintigraphic imaging is a noninvasive technique that can be employed to determine organ exposure.5 99mTechnetium (99mTc)-labeled compounds, coupled with γ scintigraphy, have been used to estimate the hepatic exposure of drugs by assessing alterations in hepatic uptake and excretion,[6,7] and to evaluate the involvement of specific transport proteins.[8,9] Changes in systemic and organ exposure, as well as biliary excretion of 99mTc-labeled compounds, can be quantified using a previously validated method for bile collection, including a correction for gallbladder ejection fraction (EF).[10] An integrated approach incorporating pharmacokinetic modeling and simulation of clinical data (biliary excretion, systemic, and organ exposure) can then guide in vitro investigations to elucidate sites and mechanisms of DDIs. In vitro systems are used commonly to evaluate transporter function, and predict, or confirm DDIs.[11] Membrane vesicles prepared from transfected cell lines are useful to characterize substrate specificity and inhibitory potential of a given transport protein in isolation, although the relative contribution of individual transport proteins to overall hepatic uptake or excretion is difficult to elucidate using these artificial systems. A more representative, organ-specific, whole-cell system, such as sandwich-cultured hepatocytes (SCH), can be used to investigate the relative contribution of hepatic uptake and canalicular excretion processes to overall biliary clearance, and to estimate intracellular drug concentrations.[11,12] 99mTechnetiummebrofenin (99mTcmebrofenin) (Choletec, Bracco Diagnostics, Princeton, NJ), a metabolically stable iminodiacetic acid analog, is an imaging agent utilized in nuclear medicine to diagnose structural and functional disorders of the hepatobiliary network and gallbladder.[13,14,15] The efficient vectorial transport of 99mTcmebrofenin from blood into liver is mediated by the organic anion transporting polypeptides, OATP1B1 and OATP1B3;[9,16,17] 99mTcmebrofenin is preferentially excreted into bile unchanged by the canalicular efflux transporter multidrug resistance protein 2 (MRP2).[9,16,18] 99mTcmebrofenin also can be excreted from hepatocytes back into blood by MRP3.[9] The important role of MRP2-mediated biliary excretion as the rate-limiting step for 99mTcmebrofenin elimination in vivo is evidenced by increased and prolonged hepatic exposure of 99mTcmebrofenin and other iminodiacetic acid analogs in preclinical species (TR− rats) and humans (Dubin–Johnson syndrome) with genetic impairment of Mrp2/MRP2.[14,18,19,20,21] Probe substrates to assess transport function in vivo are a highly sought-after clinical tool; 99mTcmebrofenin has been proposed as a probe substrate for MRP2,[11] but has yet to be tested in a clinical DDI study. Ritonavir, an HIV protease inhibitor, is a typical component of antiretroviral therapy. Ritonavir is administered as a “boosting” agent in combination with other protease inhibitors to exploit the inhibition of intestinal P-glycoprotein transport and metabolic enzymes, thereby increasing the bioavailability of antiretroviral medications administered concomitantly.[22,23] Ritonavir is also a substrate and inhibitor of the biliary transporter MRP2,[24,25] with an half maximal inhibitory concentration (IC50) reported as low as 50 nmol/l in teleost fish.[26] Consequently, we hypothesized that concomitant ritonavir administration would decrease the biliary excretion of 99mTcmebrofenin, thereby increasing hepatic exposure. Ritonavir also has been reported to inhibit hepatic OATPs/Oatps, with an IC50 ranging from 0.25 to 2.5 µmol/l.[27,28] Therefore, at higher concentrations, ritonavir may inhibit 99mTcmebrofenin hepatic uptake, thereby increasing systemic exposure. These studies employed 99mTcmebrofenin as a probe for transport-mediated hepatobiliary clearance, with and without ritonavir as a “perpetrator” of DDIs. The blood, liver, and bile data set was used to develop a semiphysiologically based pharmacokinetic (semi-PBPK) model to describe 99mTcmebrofenin disposition in humans, including clearance pathways mediated by transport proteins, and to elucidate potential site(s) and mechanism(s) of the 99mTcmebrofeninritonavir DDI. In vitro studies were conducted using relevant model systems for hepatobiliary transport in humans to substantiate the results of pharmacokinetic modeling and simulation. We report a translational approach and suggested framework for the use of 99mTcmebrofenin as a clinical probe to evaluate DDIs in hepatobiliary transport.

Results

Effect of ritonavir on 99mTc–mebrofenin disposition in human subjects

99mTcmebrofenin (mean ± SD) blood concentration–time curves are shown in , after administration of a 2.5 mCi intravenous dose to 18 healthy volunteers either (i) alone (control; n = 8), (ii) 2 h after a single 200 mg oral ritonavir dose (n = 7), or (iii) following 300 mg oral ritonavir doses administered at 14 and 2 h before 99mTcmebrofenin (n = 3; 2 × 300 mg). 99mTcmebrofenin blood concentrations declined rapidly, with prompt distribution into the liver, followed by a slower terminal elimination phase. Pharmacokinetic parameters resulting from noncompartmental analysis are summarized in ; area under the 99mTcmebrofenin blood concentration–time curve (AUCblood,0-∞) was significantly greater, by approximately twofold, in subjects treated with 2 × 300 mg ritonavir as compared with control. Observed ritonavir plasma concentrations ranged from 236 to 16,100 ng/ml (0.33–20 µmol/l; ). Ritonavir concentrations in plasma (and bile) were significantly greater in subjects pretreated with 2 × 300 mg ritonavir as compared with a single 200 mg dose (). Biliary recovery of 99mTcmebrofenin was corrected for gallbladder EF, with an EF ranging from 8% to 96% (). Biliary recovery was similar between treatment groups at 75 ± 12, 59 ± 11, and 72 ± 2% of the administered dose in control, 200 mg, and 2 × 300 mg ritonavir groups, respectively (). Urinary recovery of 99mTcmebrofenin (~1% of the administered dose) was negligible and unaffected by ritonavir treatment. Hepatic imaging of 99mTcmebrofenin over 180 min revealed rapid uptake by the liver (). The time of maximum liver concentration was 11 ± 3, 11 ± 4, and 10 ± 1 min in control, 200 mg, and 2 × 300 mg ritonavir groups, respectively (). This agrees well with the reported value of 11 min.[14,29] The elimination half-life based on hepatic time–activity curves from the current study, determined from 30 to 60 min by nonlinear regression, was 19 ± 5, 19 ± 5, and 18 ± 1 min in control, 200 mg, and 2 × 300 mg ritonavir groups, respectively (), as compared with previous reports of ~15 min.[14,29] Subjects >20% of ideal body weight were excluded in this study to minimize individual differences in body mass and composition, which could result in variable attenuation of the scintigraphic imaging data. Activity at liver time of maximum concentration was 1,950 ± 252, 2,003 ± 274, and 1,890 ± 508 counts per second in control, 200 mg, and 2 × 300 mg ritonavir groups, respectively ( and ). There was no apparent difference in 99mTcmebrofenin overall liver exposure in the presence or absence of ritonavir based on the mean liver activity profiles. The 99mTcmebrofenin liver-to-blood ratio was calculated using blood sampling points and corresponding liver activity from scintigraphic imaging data (). The peak at 40 min and subsequent decline suggested more complicated disposition than a mammillary two-compartment model representing blood and liver with constant first-order transfer rates as previously described.[9,14,29]

Pharmacokinetic modeling

A semi-PBPK model was developed to describe 99mTcmebrofenin activity in blood, liver, and bile (). The extrahepatic compartment in the semi-PBPK model represented a high-volume, slowly perfused tissue(s), with an apparent permeability-limited uptake and egress. Parameters representing transport-mediated clearance mechanisms were obtained by fitting the model to data from the two subjects with available individual attenuation-corrected liver scintigraphy data (, ; see Supplementary Material online for details). A separate model fit and parameter set were obtained for the mean control group data (biliary recovery, blood, and liver concentrations) because the “representative” control subject for which attenuation-corrected data were obtained exhibited the highest biliary recovery of all values observed. Because liver data across all subjects were not corrected for attenuation, an attenuation correction factor was included as a parameter in the model and estimated to scale counts/s data to activity in nCi/g liver ().

Sensitivity analysis

Sensitivity analysis of parameter estimates on model output was conducted as described in Supplementary Material online, with resulting changes in predicted blood, and liver exposure, and biliary excretion as shown in . Blood exposure was most sensitive to inhibition of hepatic uptake. However, impaired hepatic uptake would also be expected to decrease hepatic exposure and biliary excretion. No single parameter change explained the observed increase in 99mTcmebrofenin blood exposure in the absence of changes in hepatic exposure or biliary excretion, indicating that a combination of factors was necessary to describe the effect of ritonavir. Hepatic exposure was particularly sensitive to impaired biliary clearance (hepatocyte-to-bile), which supports the conclusions from the clinical study that ritonavir did not significantly decrease 99mTcmebrofenin biliary clearance. In contrast, the model was relatively insensitive to changes in efflux from tissue (hepatic or extrahepatic) back into blood.

Simulations

Simulations were conducted to explore various scenarios representing the potential impact of ritonavir on 99mTcmebrofenin disposition. Decreased 99mTcmebrofenin uptake and increased sinusoidal efflux only from the hepatic compartment (, blue lines) adequately described blood and liver concentrations, but predicted a decrease in biliary excretion. This decrease was not observed in the clinical study. Decreased 99mTcmebrofenin uptake and increased efflux back into blood from both the hepatic and extrahepatic compartments were required in simulations to describe the increase in 99mTcmebrofenin systemic exposure observed in the presence of 2 × 300 mg ritonavir, with minimal impact on hepatic exposure and biliary recovery (, black dashed lines).

In Vitro studies

The effect of ritonavir on adenosine triphosphate (ATP)-dependent uptake of 99mTcmebrofenin by membrane vesicles prepared from human embryonic kidney cells (HEK293) transiently transfected with MRP2 was determined, as reported previously.[9] Membrane vesicles were incubated for 3 min at 37 °C with 50 µCi/ml 99mTcmebrofenin in the presence of ritonavir. Ritonavir 5 and 50 µmol/l inhibited adenosine triphosphate-dependent uptake of 99mTcmebrofenin into MRP2-expressing HEK293 membrane vesicles by 32 ± 15 and 60 ± 2% of control, respectively (mean ± SD in triplicate). By comparison, 50 µmol/l MK571, a prototypical MRP inhibitor, reduced adenosine triphosphate-dependent transport of 99mTcmebrofenin by 88 ± 2%.[9] The effect of ritonavir on 99mTcmebrofenin accumulation and biliary excretion in human SCH was determined (). Ritonavir inhibited 99mTcmebrofenin accumulation in cells + bile and cells in a concentration–dependent manner (), with an IC50 of 3.46 ± 1.53 µmol/l on total uptake (cells + bile), based on the extracellular dosing concentration. In contrast, ritonavir had no effect on the biliary excretion index of 99mTcmebrofenin in SCH, consistent with the clinical data and associated pharmacokinetic analysis suggesting that ritonavir did not affect 99mTcmebrofenin biliary clearance. Intracellular ritonavir concentrations were estimated to facilitate comparison with membrane vesicle data. Hepatocellular accumulation of ritonavir during the 10-min uptake study in human SCH was 5–10-fold higher than the dosing concentration (), based on estimates of cellular volume reported previously.[30] On the basis of total cellular accumulation of ritonavir (up to 100 µmol/l) in human SCH, and the estimated IC50 value (5–50 µmol/l) against MRP2-mediated 99mTcmebrofenin transport determined in membrane vesicles, ritonavir would be expected to inhibit 99mTcmebrofenin biliary excretion in SCH. However, ritonavir was extensively bound in lysates from human hepatocytes (fu = 0.024 ± 0.006). Thus, correcting for the intracellular unbound concentration revealed that the effective cellular concentration of ritonavir was lower than the concentration necessary to significantly inhibit MRP2.

Discussion

This work highlights how in vitro and in silico approaches, including pharmacokinetic modeling and simulation, as well as transport studies conducted in relevant model systems, can be used to predict the site(s) and potential impact of hepatic transporter-mediated DDIs in humans in vivo. Furthermore, this clinical study demonstrates the utility of 99mTcmebrofenin as a model organic anion to evaluate DDIs in transporter-mediated hepatobiliary clearance. To our knowledge, this is the first study that uses liver scintigraphy data to evaluate a hepatic DDI, and incorporates blood, bile, and urine data in humans to develop a comprehensive pharmacokinetic model describing 99mTcmebrofenin disposition. Previously published data involving administration of 99mTcmebrofenin (and other iminodiacetic acid derivatives) in humans or animals focused on the time-activity data in blood and liver up to 60 min.[14,31,32,33,34] A two-compartment model representing blood and liver reasonably approximated 0–60 min time-activity data in these studies.[31,32] However, extending the time course of blood and liver observations to 180 min clearly demonstrates more complex pharmacokinetic behavior; the statistically significant, twofold increase in 99mTcmebrofenin systemic exposure without accompanying changes in hepatic exposure or biliary recovery observed following ritonavir administration (2 × 300 mg) is not consistent with a two-compartment model. 99mTcmebrofenin did not accumulate in extrahepatic tissues within the γ camera field-of-view, yet the liver-to-blood ratio and incomplete recovery of total activity in urine and bile suggested an extrahepatic component to 99mTcmebrofenin disposition. Therefore, a modeling and simulation approach was undertaken to describe 99mTcmebrofenin disposition and elucidate the probable sites of the 99mTcmebrofeninritonavir interaction. 99mTcmebrofenin rapidly and extensively distributed to the liver. The 99mTcmebrofenin hepatic extraction ratio was 0.80 ± 0.16 ((mean ± SD), range 0.55–1) in control subjects, based on the observed clearance from noncompartmental analysis (CLtotal/Qh; ). In contrast to previous reports estimating hepatic extraction at ~100%,[29] this suggests that 99mTcmebrofenin hepatic clearance would be susceptible to changes in hepatic uptake. This is consistent with the observed changes in 99mTcmebrofenin disposition following ritonavir administration, which resulted from inhibition of uptake into both hepatic and extrahepatic sites of distribution. Total plasma concentrations of ritonavir, measured at the beginning and end of the 3-h study period (2 and 5 h following ritonavir administration) ranged from 236 to 16,100 ng/ml (0.33 to 20 µmol/l). Intestinal absorption of ritonavir was estimated to contribute ~12,000 and 18,000 ng/ml (17 and 25 µmol/l) to the incoming portal blood for the 200 and 300 mg doses, respectively, using the previously reported approach (ka·Dose·Fa/Qh, where ka represents the absorption rate constant and Fa represents the fraction absorbed).[35] The maximum estimated portal vein concentration (up to 45 µmol/l) exceeded the IC50 for 99mTcmebrofenin uptake in human SCH (~3.5 µmol/l). Due to extensive protein binding of ritonavir (fu ~0.01), it is possible that unbound portal concentrations achieved in the present study were able to inhibit the hepatic uptake of 99mTc-mebrofenin. Human SCH data correlated well with the clinical data and pharmacokinetic modeling indicating that ritonavir inhibited 99mTcmebrofenin hepatic uptake, with no effects on biliary excretion. The current study suggests that ritonavir may inhibit the hepatic uptake of other OATP substrates resulting in increased systemic exposure, similar to previous reports.[25,28,36] The magnitude of this increase and altered exposure in hepatic and extrahepatic tissues will depend on the substrate- and tissue-specific involvement of transport-mediated distribution and clearance, and the effect of ritonavir on these processes. In addition to inhibition of uptake, parameter estimates () suggest enhanced hepatic basolateral efflux, which may be explained by increased basolateral transporter expression (e.g., MRP3 or MRP4) and/or an increase in the unbound fraction of 99mTcmebrofenin in the liver. Good agreement was found between observed CLtotal of 99mTcmebrofenin (15.9 ± 3.2 ml/min/kg in control group, ) and predicted CLuptake based on in vitro uptake in human SCH (10.6 ± 3.1 ml/min/kg, Supplementary Table S4 online). Similarly, predicted CLbiliary, based on data obtained in human SCH, was 4.4 ± 1.5 ml/min/kg as compared with the observed CLbiliary of 12.5 ± 2.5 ml/min/kg in control subjects. The in vitro intrinsic CLuptake (~24 ml/min/kg Supplementary Table S4 online) was ~50-fold lower than the corresponding value (CLuptake,h; ) estimated by the semi-PBPK model, which agrees well with reported scaling factors for hepatic uptake clearance in SCH.[37,38,39] It should be noted that the in vitro CLuptake of 99mTcmebrofenin in human SCH, along with the calculated IC50 value for ritonavir inhibition of 99mTcmebrofenin accumulation, represents the net effect of all sinusoidal uptake and efflux transporters (e.g., at least OATP1B1, OATP1B3, and MRP3)[9,17] involved in the hepatocellular disposition of 99mTcmebrofenin. Impaired function of MRP2 in humans and Mrp2 in preclinical species has been reported to delay elimination of 99mTcmebrofenin and other iminodiacetic acid derivatives from the liver, with a significant increase in hepatic exposure and time to half-maximal concentration.[14,18,19,20,21] Sensitivity analysis and simulations using data from the current study also confirmed that hepatic exposure was highly sensitive to biliary clearance; even modest (twofold) changes in this parameter should have an apparent effect on the slope of the liver time–activity curves. These data imply that 99mTcmebrofenin clearance from liver to bile in the current study was not influenced significantly by ritonavir, even though ritonavir is an MRP2 inhibitor. Previous reports of Mrp2/MRP2 inhibition by ritonavir using a nonmammalian model system (killifish isolated proximal tubules)[26] and mammalian systems (rat and human SCH), confirmed species- and substrate-specific interaction potential.[25] Studies in human SCH, coupled with MRP2 membrane vesicles and ritonavir binding to human hepatocyte lysates, corroborate the lack of effect of ritonavir on 99mTcmebrofenin biliary excretion observed in the clinical study, suggesting that the reported approach using complementary in vitro systems is useful to predict transporter-mediated DDIs in biliary excretion. Although total ritonavir accumulation in SCH exceeded the estimated IC50 for 99mTcmebrofenin transport into MRP2-expressing membrane vesicles, extensive hepatic binding explains why intracellular ritonavir concentrations were insufficient to inhibit 99mTcmebrofenin excretion into bile in humans. These findings demonstrate the importance of correcting for the intracellular unbound concentration when translating between isolated expression systems and whole-cell models or in vivo intracellular targets. This study also emphasizes the importance of using appropriate in vitro systems and specific substrate–inhibitor combinations to accurately assess DDI potential. In this study, decreased hepatic uptake of 99mTcmebrofenin in the presence of ritonavir led to increased systemic exposure but did not result in altered hepatic exposure or biliary excretion. These findings are counterintuitive until one considers the effect of 99mTcmebrofenin extrahepatic distribution, which is also subject to alteration by ritonavir, based on the modeling and simulation results. Inhibition of 99mTcmebrofenin uptake in both hepatic and extrahepatic sites of distribution would collectively increase systemic exposure such that decreased uptake would yield little net change in tissue exposure (dXtissue/dt = Csystemic·CLuptake). Recently, this concept was demonstrated for metformin in the setting of impaired transport function in liver and kidney.[40] The extrahepatic distribution of 99mTcmebrofenin is not surprising; semi- or whole-body PBPK models have been applied to a number of large and/or anionic drugs.[41,42,43,44] An outstanding question from this clinical study is the identity of the extrahepatic site(s) of 99mTcmebrofenin distribution, accounting for ~10–40% of the administered dose at 180 min. Observed 99mTcmebrofenin activity was confined to the liver and gallbladder regions during the scintigraphic imaging, thereby excluding other tissues within the γ camera field-of-view, which included the bulk of the torso and resident organ systems, as potential distribution sites. Human skeletal muscle expresses transport proteins that have been implicated in drug distribution and toxicity.[45,46] Further studies are required to confirm the identity of other tissue(s) involved in the extrahepatic distribution of 99mTcmebrofenin. The availability of quantitative (attenuation corrected) scintigraphy data in humans marks a major advance in the use of imaging agents to assess organ/tissue exposure. Although the methods have existed for many years, they are underutilized and provide a rich data set that is ideal for pharmacokinetic modeling. The present clinical study has further characterized 99mTcmebrofenin as a clinical probe of transporter-mediated hepatobiliary clearance, and demonstrated the need to quantify 99mTcmebrofenin in blood and urine beyond 180 min to further characterize the terminal elimination phase. A semi-PBPK modeling and in vitro systems approach elucidated unforeseen mechanisms underlying a transporter-mediated DDI at both hepatic and extrahepatic sites of 99mTcmebrofenin distribution. In vitro studies confirmed the conclusions from modeling and simulation that ritonavir inhibited 99mTcmebrofenin hepatic uptake, but not biliary excretion, at clinically relevant concentrations. This complimentary set of in vivo and in vitro studies demonstrates that reliable predictions of transporter-mediated hepatic DDIs can be achieved when data from appropriate in vitro models (e.g., assessment of inhibitory potential in relevant systems; biliary excretion assessed in SCH) are integrated with knowledge regarding drug disposition (e.g., hepatic and extrahepatic distribution; plasma and intracellular binding) using a quantitative systems approach.

Methods

Clinical protocol. A randomized, open-label, two arm, parallel study approved by the University of North Carolina institutional review board, was conducted in the clinical and translational research center. Written informed consent was obtained from all subjects before enrollment. Healthy male and female subjects (19–29 years of age), within 20% of ideal body weight (51–91 kg), were admitted to the Clinical and Translational Research Center the evening before the procedure (see Supplementary Table S1 online for detailed demographic information). A customized oroenteric tube was positioned in the upper small intestine, using the protocol described previously.[10] Following tube placement, the balloon was inflated with 20 ml of air, and then subjects were positioned under a γ camera in the supine position. A 2.5 mCi intravenous bolus dose of 99mTcmebrofenin was administered via an indwelling catheter placed in a forearm vein; subjects randomized to the ritonavir-treated group also swallowed two 100 mg capsules of ritonavir before placement of the oroenteric tube, which occurred ~2 h before 99mTcmebrofenin administration. Blood samples were collected from a catheter placed in the arm opposite of 99mTcmebrofenin administration at baseline, and at designated time points up to 180 min after administration of the 99mTcmebrofenin dose. Biliary secretions were aspirated continuously via the oroenteric catheter and pooled over predetermined intervals throughout the study. Urine was collected at baseline and pooled over 180 min. Anterior and posterior scintigraphic images of the abdomen were acquired dynamically in the 99mTc window (140 KeV ± 15%) at 1-min intervals using a dual headed γ camera. Two hours after 99mTcmebrofenin administration, 0.02 µg/kg cholecystokinin octapeptide (CCK-8, Kinevac; Bracco Diagnostics) was administered as a 30-min intravenous infusion. The gallbladder EF was calculated from the abdominal scintigraphy images and total biliary recovery of 99mTcmebrofenin was corrected for EF to minimize intersubject variability associated with gallbladder response to CCK-8 as described previously.[10] Blood, bile, and urine samples were analyzed for 99mTcmebrofenin radioactivity with a sodium iodide well counter, and corrected for decay (99mTc t1/2 = 6.01 h). Bile samples associated with bulk gallbladder emptying following CCK-8 administration at 120 min, as well as plasma samples at 0 and 180 min (~120 and 300 min after the ritonavir dose) were analyzed for ritonavir by high-performance liquid chromatography or liquid chromatography–mass spectrometry/mass spectrometry as described previously.[47,48] 99mTcmebrofenin activity was determined in counts/min from the geometric mean of the anterior and posterior scintigraphic images, thereby normalizing for the abdominal thickness of the individual subject. Liver time–activity curves were generated by scaling activity in a region of interest over the right upper quadrant to activity in the whole liver based on the initial uptake phase, thereby excluding gallbladder interference from the 0 to 180 min liver activity curve. Protocol modifications. Upon approval by the University of North Carolina institutional review board, the clinical protocol was modified to include an increased dose of ritonavir: 300 mg (three, 100 mg capsules) upon admission and before oroenteric tube placement (~14 and 2 h, respectively, before 99mTcmebrofenin administration). This 2 × 300 mg ritonavir regimen was intended to increase plasma ritonavir concentrations to a steady-state and reduce intersubject variability observed in the group of subjects treated with the single 200 mg dose regimen. In addition, a transmission-emission acquisition was performed before injection of 99mTcmebrofenin for the final control and ritonavir-treated subjects using a cobalt-57 flood source to determine the effect of photon attenuation, as described in Supplementary Material online. Pharmacokinetic analysis. The area under the blood concentration–time curve for 99mTcmebrofenin was determined by noncompartmental analysis using WinNonlin Phoenix, v6.1 (St. Louis, MO). AUC0–180 min and AUC0–∞ were calculated using the linear trapezoidal rule; extrapolation to infinity was determined by the slope from linear regression of the last 3–6 time points. A semi-PBPK model was developed to describe 99mTcmebrofenin distribution and elimination (), consisting of a central (blood) compartment, five-compartment liver representing the “dispersion” model of hepatic elimination, and extrahepatic tissue compartment. Transfer between blood and tissue was denoted by transport-mediated clearance processes; passive diffusion was assumed to be negligible based on data reported previously from in vitro systems.[9,17] Differential equations describing the disposition of 99mTcmebrofenin and the modeling procedures are detailed in Supplementary Material online. In vitro studies. Hepatocytes were purchased from Celsis In Vitro Technologies (Baltimore, MD) or kindly provided by Life Technologies (Research Triangle Park, NC), and Triangle Research Labs (Research Triangle Park, NC) and plated on 24-well Biocoat plates (BD Biosciences, San Jose, CA) and overlaid with Matrigel (BD Biosciences) as described previously.[12] Hepatocyte donors consisted of two Caucasians and one African-American, ranging from 46 to 59 years of age, and body mass index from 25.6 to 29.8 kg/m2. Cell cultures were maintained and accumulation studies were conducted on day 7 in SCH with 0.5 µCi/ml 99mTcmebrofenin in the presence or absence of ritonavir, as described previously,[12] and further detailed in Supplementary Material online. Membrane vesicles were prepared from MRP2 overexpressing HEK293 cells, and transport assays were carried out by a rapid filtration method as described previously.[9,49] Human hepatocytes from two donors were used to determine the extent of ritonavir binding to cellular components by equilibrium dialysis as described previously.[50] Pellets containing 10 million hepatocytes were diluted in 10 volumes of phosphate buffer and homogenized by probe sonication. Ritonavir was added to a concentration of 1 µmol/l, and aliquots (n = 3) were loaded into a 96-well equilibrium dialysis apparatus (HTDialysis, LLC; Gales Ferry, CT) and dialyzed against phosphate buffer for 6 h with shaking at 37 °C. Ritonavir was quantitated by liquid chromatography–mass spectrometry/mass spectrometry, and the unbound fraction was corrected for dilution as described previously:[50] Where D is the dilution factor. Statistical analysis. Statistically significant differences in pharmacokinetic parameters across all three treatment groups were assessed by ANOVA on ranks, adjusted using Dunnett's multiple comparisons test. Comparison of ritonavir concentrations between the two ritonavir-treated groups was performed using Wilcoxon Rank Sum. The criterion for significance in all cases was P < 0.05.

Author Contributions

N.D.P., S.L.G., G.G., and K.L.R.B. wrote the manuscript. K.L.R.B., N.D.P., G.G., and M.I. designed the research. N.D.P., S.L.G., B.S., M.I., W.D.H., and L.M.G. performed the research. N.D.P., B.S., and M.I. analyzed the data.B.S. and M.I. contributed new reagents or analytic tools.

Conflict of Interest

K.L.R.B. is chair of the Scientific Advisory Board for Qualyst Transporter Solutions, which has exclusively licensed the sandwich-cultured hepatocyte technology for quantification of biliary excretion (B-CLEAR).

Study Highlights

Table 1

Pharmacokinetics of 99mTc–mebrofenin in control and ritonavir pretreated subjects

Table 2

Parameter estimates derived from the 99mTc–mebrofenin semiphysiologically based pharmacokinetic model based on the scheme depicted in

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Journal:  J Clin Oncol       Date:  2006-05-01       Impact factor: 44.544

6.  Hepatocyte versus biliary disease: a distinction by deconvolutional analysis of technetium-99m IDA time-activity curves.

Authors:  P H Brown; J E Juni; D A Lieberman; G T Krishnamurthy
Journal:  J Nucl Med       Date:  1988-05       Impact factor: 10.057

7.  In vivo imaging of hepatobiliary transport function mediated by multidrug resistance associated protein and P-glycoprotein.

Authors:  N Harry Hendrikse; Folkert Kuipers; Coby Meijer; Rick Havinga; Charles M A Bijleveld; Winette T A van der Graaf; Willem Vaalburg; Elisabeth G E de Vries
Journal:  Cancer Chemother Pharmacol       Date:  2004-04-30       Impact factor: 3.333

8.  Human skeletal muscle drug transporters determine local exposure and toxicity of statins.

Authors:  Michael J Knauer; Bradley L Urquhart; Henriette E Meyer zu Schwabedissen; Ute I Schwarz; Christopher J Lemke; Brenda F Leake; Richard B Kim; Rommel G Tirona
Journal:  Circ Res       Date:  2009-11-25       Impact factor: 17.367

9.  Development of new radiopharmaceuticals based on N-substitution of iminodiacetic acid.

Authors:  M D Loberg; M Cooper; E Harvey; P Callery; W Faith
Journal:  J Nucl Med       Date:  1976-07       Impact factor: 10.057

10.  Physiologically based pharmacokinetic modeling to predict transporter-mediated clearance and distribution of pravastatin in humans.

Authors:  Takao Watanabe; Hiroyuki Kusuhara; Kazuya Maeda; Yoshihisa Shitara; Yuichi Sugiyama
Journal:  J Pharmacol Exp Ther       Date:  2008-11-10       Impact factor: 4.030

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  15 in total

1.  Altered morphine glucuronide and bile acid disposition in patients with nonalcoholic steatohepatitis.

Authors:  B C Ferslew; C K Johnston; E Tsakalozou; A S Bridges; M F Paine; W Jia; P W Stewart; A S Barritt; K L R Brouwer
Journal:  Clin Pharmacol Ther       Date:  2015-03-15       Impact factor: 6.875

2.  Determination of intracellular unbound concentrations and subcellular localization of drugs in rat sandwich-cultured hepatocytes compared with liver tissue.

Authors:  Nathan D Pfeifer; Kevin B Harris; Grace Zhixia Yan; Kim L R Brouwer
Journal:  Drug Metab Dispos       Date:  2013-08-29       Impact factor: 3.922

3.  Positron Emission Tomography Imaging of [11 C]Rosuvastatin Hepatic Concentrations and Hepatobiliary Transport in Humans in the Absence and Presence of Cyclosporin A.

Authors:  Sarah Billington; Steven Shoner; Scott Lee; Kindra Clark-Snustad; Matthew Pennington; David Lewis; Mark Muzi; Shirley Rene; Jean Lee; Tot Bui Nguyen; Vineet Kumar; Kazuya Ishida; Laigao Chen; Xiaoyan Chu; Yurong Lai; Laurent Salphati; Cornelis E C A Hop; Guangqing Xiao; Mingxiang Liao; Jashvant D Unadkat
Journal:  Clin Pharmacol Ther       Date:  2019-07-22       Impact factor: 6.875

4.  Prediction of Altered Bile Acid Disposition Due to Inhibition of Multiple Transporters: An Integrated Approach Using Sandwich-Cultured Hepatocytes, Mechanistic Modeling, and Simulation.

Authors:  Cen Guo; Kyunghee Yang; Kenneth R Brouwer; Robert L St Claire; Kim L R Brouwer
Journal:  J Pharmacol Exp Ther       Date:  2016-05-27       Impact factor: 4.030

5.  Advancing Predictions of Tissue and Intracellular Drug Concentrations Using In Vitro, Imaging and Physiologically Based Pharmacokinetic Modeling Approaches.

Authors:  Yingying Guo; Xiaoyan Chu; Neil J Parrott; Kim L R Brouwer; Vicky Hsu; Swati Nagar; Pär Matsson; Pradeep Sharma; Jan Snoeys; Yuichi Sugiyama; Daniel Tatosian; Jashvant D Unadkat; Shiew-Mei Huang; Aleksandra Galetin
Journal:  Clin Pharmacol Ther       Date:  2018-09-12       Impact factor: 6.875

Review 6.  Sandwich-Cultured Hepatocytes as a Tool to Study Drug Disposition and Drug-Induced Liver Injury.

Authors:  Kyunghee Yang; Cen Guo; Jeffrey L Woodhead; Robert L St Claire; Paul B Watkins; Scott Q Siler; Brett A Howell; Kim L R Brouwer
Journal:  J Pharm Sci       Date:  2016-02       Impact factor: 3.534

7.  Prediction of Hepatic Efflux Transporter-Mediated Drug Interactions: When Is it Optimal to Measure Intracellular Unbound Fraction of Inhibitors?

Authors:  Cen Guo; Kyunghee Yang; Mingxiang Liao; Cindy Q Xia; Kenneth R Brouwer; Kim L R Brouwer
Journal:  J Pharm Sci       Date:  2017-04-30       Impact factor: 3.534

Review 8.  Intracellular drug concentrations and transporters: measurement, modeling, and implications for the liver.

Authors:  X Chu; K Korzekwa; R Elsby; K Fenner; A Galetin; Y Lai; P Matsson; A Moss; S Nagar; G R Rosania; J P F Bai; J W Polli; Y Sugiyama; K L R Brouwer
Journal:  Clin Pharmacol Ther       Date:  2013-04-10       Impact factor: 6.875

Review 9.  Prediction of pharmacokinetics and drug-drug interactions when hepatic transporters are involved.

Authors:  Rui Li; Hugh A Barton; Manthena V Varma
Journal:  Clin Pharmacokinet       Date:  2014-08       Impact factor: 6.447

10.  Transporter-Mediated Alterations in Patients With NASH Increase Systemic and Hepatic Exposure to an OATP and MRP2 Substrate.

Authors:  Izna Ali; Jason R Slizgi; Josh D Kaullen; Marija Ivanovic; Mikko Niemi; Paul W Stewart; Alfred S Barritt; Kim L R Brouwer
Journal:  Clin Pharmacol Ther       Date:  2017-12-22       Impact factor: 6.875

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