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| ID | Type | Description | Link |
|---|---|---|---|
| 116106 | Other Grant/Funding Number | The Innovative Medicines Initiative |
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| Name | Class |
|---|---|
| University of Sheffield | OTHER |
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Identifying drugs at risk of interacting with other drugs, called drug-drug interaction (DDI), early in their development is crucial in avoiding late-stage drug development failures. The liver plays a key role in DDIs , with liver cells playing a major part in the taking up and getting rid of drugs. Currently, there is a lack of safe, widely available tools for testing DDIs in humans, particularly interactions involving liver cell transporters.
This study is part of five work packages under the TRISTAN project (Translational Imaging in Drug Safety Assessment) which aims to improve drug safety using imaging. A pilot study provided proof-of-principle that the imaging procedure, dynamic gadoxetate (a type of dye) enhanced magnetic resonance imaging (DGE-MRI), can be used to measure the effect drugs have on the liver cell transporters in humans, using Rifampicin as a test drug. This study aims to further confirm DGE-MRI as a liver imaging biomarker in humans using two different drugs known to act on these transporters.
All study procedures will be done at Sheffield Teaching Hospitals NHS Foundation Trust at the Royal Hallamshire Hospital. This is the site for University of Sheffield MRI related research. Healthy volunteer participants over the age of 18 years old will be eligible with the aim to recruit 12 volunteers. Each participant will attend 3 visits undertaken in a stepwise manner. Visit A will be for screening, consent and baseline blood tests. Visit B will include two MRI scans with gadoxetate administered at each and blood tests measuring liver function taken prior to each scan. Participants will proceed to Visit C if satisfactory images are obtained during the previous visit. Visit C will mirror Visit B, however either Metformin of Ciclosporin will be administered prior to the first scan. The study duration is three months.
The identification of drugs at risk of drug-drug interactions (DDI) early in the drug development life cycle is key to avoid late stage drug development failures. A critical gap in current methodologies is for tools that are widely available and safe to use in humans, and specifically can distinguish between perturbation of hepatocellular uptake, excretion or both.
Dynamic gadoxetate enhanced magnetic resonance imaging (DGE-MRI) is a technique that can potentially fill this gap. The MRI contrast agent gadoxetate is used in clinical routine, it is known to be taken up in hepatocytes by transporters OATPB1 and excreted to bile by MRP2 transporters, and the respective uptake and excretion rates can be quantified with DGE-MRI using suitable MRI scans and data modelling.
Studies in animal models using DGE-MRI on 6 different drugs have clearly demonstrated various levels of drug-induced inhibition of gadoxetate uptake and excretion. Recently, a proof-of-concept study in healthy human volunteers using DGE-MRI to characterise a single drug (rifampicin) has shown a systematic 95% reduction in gadoxetate uptake and 40% reduction in excretion.
Aims
Study objectives The purpose of the current study is to expand on these previous results and use DGE-MRI to measure the inhibition of gadoxetate uptake and excretion in volunteers with two other test drugs, metformin and ciclosporin (Neoral). These drugs are selected because they are commonly used in clinical practice, have a good safety profile and are known to inhibit OATP1B1 and MRP2 function. They should therefore also produce a measurable effect on gadoxetate uptake and excretion rates. If we can show that this is indeed measurable, the results will add further evidence that these effects can be detected by DGE-MRI, improve our understanding of relevant effect size and limits of detection, and help us identify thresholds above which reduction in gadoxetate uptake or excretion would be of concern.
Study endpoints
Long-term aims On the longer term we expect these data to help build a case that DGE-MRI can be a useful tool to assess transported-mediated DDI risk in early drug development. The study results will be included in an application to FDA's biomarker qualification program as described in a biomarker qualification plan (submitted to FDA) following acceptance by the FDA of a letter of intent outlining the rationale for this biomarker in drug development.
Methods
This is a single centre, prospective observational study including healthy volunteer participants. 6 participants will be recruited to each immediate-release metformin and ciclosporin (Neoral) drug arms (12 total). After screening and consent, each subject will attend two hospital visits no less than 7 days apart. On each visit they will undergo DGE-MRI in the morning, and once again after a 2-hour break to allow for sufficient time to measure biliary gadoxetate clearance. On the second visit one of the two test drugs will be administered before the first scan. Each DGE-MRI scan will be performed using 25% (¼) of a clinical dose of gadoxetate. Immediate-release metformin and ciclosporin (Neoral) will be used at standardised dosages (1000mg and 100mg, respectively). Blood samples will be taken before drug administration and before each scan for comparative assessment with liver function tests (LFT).
The work is outlined below.
Analyses
All images will be reviewed by a qualified abdominal radiologist to check for incidental findings.
Gadoxetate uptake and excretion kinetic rate constants will be measured with and without the drug for all participants. The primary outcome measure is the effect size of the drug on uptake and excretion.
The primary analyses will be done at the University of Sheffield.
Safety
The modelling and use of gadoxetate as a research biomarker was established in the proof-of-concept study conducted at the University of Leeds. Gadoxetate will be used at 25% (¼) standard clinical dose for each scan. This dose was established in the precursor study as the requisite dose to enable analyses of gadoxetate kinetics whilst not exposing participants unnecessarily to higher doses of the gadoxetate. At 25% of standard clinical dose, gadoxetate is not licensed for the diagnostic use. The administration of gadoxetate will be authorised by the clinical lead, Dr Benjamin Rea.
Both Metformin and Ciclosporin have an excellent safety profile and record, and therefore the risk posed to a healthy volunteer with no history of polypharmacy or comorbidities from a one off dose, is negligible. Routine clinical exclusions will be applied pertaining to the administration of gadoxetate, metformin and ciclosporin (Neoral) as well as contraindications to MRI imaging.
There will be no monitoring procedures undertaken following completion of this study but the research fellow will remain contactable following completion of the study for further queries.
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| Measure | Description | Time Frame |
|---|---|---|
| To evaluate the rate of gadoxetate uptake | quantitative variables extracted from the MRI data. 95% CI on the mean effect size of uptake rate khe (mL/min/100mL) | Visit B which is performed at baseline, Visit C which is performed within 56 days of baseline visit B |
| To evaluate the rate of gadoxetate excretion | quantitative variables extracted from the MRI data. 95% CI on the mean effect size of excretion rate kbh (mL/min/100mL | Visit B which is performed at baseline, Visit C which is performed within 56 days of baseline visit B |
| Measure | Description | Time Frame |
|---|---|---|
| Evaluate effect size of gadoxetate uptake rates as measured by DGE-MRI in response to test drug administration. | Use of quantitative variables extracted from MRI data Effect size (%) calculated as = 100* (rate constant with drug - rate constant without drug)/(rate constant without drug) | Visit B which is performed at baseline, Visit C which is performed within 56 days of baseline visit B |
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Inclusion criteria
Exclusion criteria
Standard MRI exclusions, including:
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Healthy volunteers responding to a call for study participation (online advertisements).
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| Name | Affiliation | Role |
|---|---|---|
| Benjamin Rea | Sheffield Teaching Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Sheffield, POLARIS, 18 Claremont Crescent | Sheffield | S10 2RX | United Kingdom | |||
| Royal Hallamshire Hospital |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 19785645 | Background | Kalliokoski A, Niemi M. Impact of OATP transporters on pharmacokinetics. Br J Pharmacol. 2009 Oct;158(3):693-705. doi: 10.1111/j.1476-5381.2009.00430.x. Epub 2009 Sep 25. | |
| 36986758 | Background | Melillo N, Scotcher D, Kenna JG, Green C, Hines CDG, Laitinen I, Hockings PD, Ogungbenro K, Gunwhy ER, Sourbron S, Waterton JC, Schuetz G, Galetin A. Use of In Vivo Imaging and Physiologically-Based Kinetic Modelling to Predict Hepatic Transporter Mediated Drug-Drug Interactions in Rats. Pharmaceutics. 2023 Mar 10;15(3):896. doi: 10.3390/pharmaceutics15030896. |
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Anonymised MRI data will be electronically transferred to the study investigators Bioxydyn Ltd for independent analysis of the findings. Consortium agreement is established between the two sites. Anonymised data will also be made available for secondary research, educational or commercial purposes by third-party investigators from the private or public sector.
All data collated or generated during this research study will be stored short term on an encrypted shared Drive (administered by university IT) with only the investigators and research fellows having access. Upon completion of the research activities all data will be deleted from this short term storage and will be stored, fully anonymised, in a long-term repository.
A digitally encrypted key file, linking Study ID to participant names, date of birth and contact details, will be stored on the local STH drives, separate from all other study data. The key file will be securely stored for 5 years at the end of the study, after all MRI scans on all participants have been completed.
Upon completion of the study, imaging data will be fully anonymised and stored in the university-owned Google Drive. Anonymous data may be made publicly available on zenodo.org in the future, also serving as a long-term repository.
All data collated or generated during this research study will be stored short term on an encrypted shared Drive (administered by university IT) with only the investigators and research fellows having access.
At the end of each scan, MRI data will be exported anonymously using the participant's Study ID. Anonymised MR images will be exported in DICOM (Digital Imaging and Communication) format to the shared encrypted research group University of Sheffield Google Drive for primary analysis. Data for primary analysis will be performed with in-house software on an encrypted University of Sheffield computer.
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Feb 6, 2025 | Nov 11, 2025 | Prot_000.pdf |
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| ID | Term |
|---|---|
| D008107 | Liver Diseases |
| ID | Term |
|---|---|
| D004066 | Digestive System Diseases |
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Blood samples that will be destroyed at the end of the study.
| Evaluate effect size of gadoxetate clearance rates as measured by DGE-MRI in response to test drug administration. | Use of quantitative variables extracted from MRI data Effect size (%) calculated as = 100* (rate constant with drug - rate constant without drug)/(rate constant without drug) | Visit B which is performed at baseline, Visit C which is performed within 56 days of baseline visit B |
| Evaluate liver function test results in response to test drug administration. | Quantitative variables from blood test results; AST (IU per Litre), ALT (IU per Litre), ALP(IU per Litre), GGT(IU per Litre) and bilirubin (umol per litre) | Visit B which is performed at baseline, Visit C which is performed within 56 days of baseline visit B |
| Evaluate effect size of the drug on relative enhancement ratio of the liver | Use of quantitative variables extracted from MRI data Effect size displayed as (%) calculated as = 100* (Relative enhancement ratio with drug- Relative enhancement ratio without drug)/(Relative enhancement ratio without drug) Area under the curve, mM*sec; liver concentrations, mL/100cm3) | Visit B which is performed at baseline, Visit C which is performed within 56 days of baseline visit B |
| Evaluate effect size of the drug on area under the curve in blood concentrations. | Use of quantitative variables extracted from MRI data Effect size displayed as (%) and calculated as = 100* (Area under the curve blood concentration with drug- Area under the curve blood concentration without drug)/(Area under the curve blood concentration without drug) Area under the curve units are (mM*sec) | Visit B which is performed at baseline, Visit C which is performed within 56 days of baseline visit B |
| Evaluate the effect size of the drug on liver concentrations. | Effect size displayed as (%) and calculated as = 100* (Area under the curve liver concentration with drug- Area under the curve liver concentration without drug)/(Area under the curve liver concentration without drug) (liver concentrations, (mL/100cm3)) | Visit B which is performed at baseline, Visit C which is performed within 56 days of baseline visit B |
| Diurnal variations in uptake rates in the absence of an intervention | quantitative variables extracted from the MRI data. 95% CI on the mean effect size of uptake rate khe (mL/min/100mL) | Visit B which is performed at baseline |
| Diurnal variations in excretion rates in the absence of an intervention | quantitative variables extracted from the MRI data. 95% CI on the mean effect size of excretion rate kbh (mL/min/100mL | Visit B which is performed at baseline |
| Sheffield |
| United Kingdom |
| 38192642 | Background | Ruan G, Wu F, Shi D, Sun H, Wang F, Xu C. Metformin: update on mechanisms of action on liver diseases. Front Nutr. 2023 Dec 14;10:1327814. doi: 10.3389/fnut.2023.1327814. eCollection 2023. |
| 23179780 | Background | Gertz M, Cartwright CM, Hobbs MJ, Kenworthy KE, Rowland M, Houston JB, Galetin A. Cyclosporine inhibition of hepatic and intestinal CYP3A4, uptake and efflux transporters: application of PBPK modeling in the assessment of drug-drug interaction potential. Pharm Res. 2013 Mar;30(3):761-80. doi: 10.1007/s11095-012-0918-y. Epub 2012 Nov 22. |