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| ID | Type | Description | Link |
|---|---|---|---|
| 14-E-0204 |
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due to constraints with collaborator and subject matter expert, recruitment was unable to begin
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Background:
- Drinking grapefruit juice changes how long it takes some medicines to be broken down in the body. Researchers have found that a substance in grapefruit juice called DHB contributes to this effect. Some dietary supplements contain DHB and claim to increase the absorption of any and all supplements, medicine or any other drug. But these usually contain a lot more DHB than a glass of grapefruit juice. Researchers want to study the effects of grapefruit juice and supplements with DHB.
Objective:
- To compare how a certain dietary supplement (sold as DHB-300 ) versus grapefruit juice affects how long it takes a person s body to break down medicines.
Eligibility:
- Healthy volunteers ages 18 - 60.
Design:
6 ,7 -dihydroxybergamottin (DHB) is one of the components of grapefruit juice and is a known irreversible inhibitor of intestinal cytochrome P450 3A (CYP3A). A single serving (240 mL) of grapefruit juice (GFJ) contains less than or equal to 5 mg of DHB. The pharmacokinetic boosting effect of GFJ has fueled the marketing of dietary supplements labeled to contain DHB e.g. DHB 300 (TM) and Trisorbagen that enhance absorption naturally, While these supplements have been found to inhibit CYP3A activity, the DHB content in these supplements is much lower than that, of GFJ. Moreover, the effects of such supplements on the pharmacokinetics of CYP3A-metabolized drugs are largely unknown. This single-center, open-label, randomized, 3-period, single-dose, crossover study in healthy volunteers will compare the drug interaction risk of a dietary supplement known to affect CYP3A with GFJ. The primary objective of this study is to compare the effects of a supplement known to affect CYP3A (e.g.Trisorbagen) with those of GFJ and water on the pharmacokinetics of two model substrates, the FDA-recommended CYP3A probe substrate midazolam, and the dual CYP3A/P-glycoprotein (P-gp) substrate loperamide. This dual-probe substrate approach to assess drug interaction risk will provide mechanistic insight into any interaction observed. Eligible volunteers (n=12) will undergo 3 phases, each comprising an exposure visit and 4 subsequent post-exposure visits to collect blood and urine over 72 or 12 hours, respectively. Exposure visits will be scheduled at least 2 weeks apart to allow washout between the phases. At each exposure visit, participants will be administered oral doses of midazolam hydrochloride (2.5 mg) and loperamide (16 mg) concomitantly with water (240 mL), GFJ (240 mL), or Trisorbagen (with 240 mL water) according to a randomized treatment sequence. Blood and urine will be collected pre-dose and post-dose over 72 (blood) or 12 (urine) hours for subsequent analyses of relevant pharmacokinetic outcomes of each probe substrate, including the primary endpoints area under the concentration-time curve from time zero (pre-dose) to infinity (AUC0-inf) and maximum observed concentration (Cmax). Secondary endpoints include geometric means, estimates of treatment differences, within-subject and between-subject treatment variance, as well as the 95% confidence intervals around those estimates.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sequence A | water - GFJ - supplement | ||
| Sequence B | GFJ - supplement - water | ||
| Sequence C | supplement - water - GFJ |
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| Measure | Description | Time Frame |
|---|---|---|
| Pharmacokinetic measures (AUC0 inf, Cmax) of systemic drug exposure | PK measures of systemic probe drug exposure (AUCO-inf and Cmax), determined via conventional non-compartmental methods using Phoenix WinNonlin (v6.2) | AUC from 0-72 h -inf |
| Measure | Description | Time Frame |
|---|---|---|
| Geometric means, estimates of treatment differences, within-subject and between-subject treatment variance, and the 95% confidence intervals around those estimates | AUC from 0-72 h -inf |
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alcohol and caffeinated beverages
-Ability to successfully complete treatment visits, including securing transportation
EXCLUSION CRITERIA:
Women who are currently pregnant or breastfeeding
Current use of known CYP3A inhibitors or inducers, which in the opinion of the Investigator poses an unacceptable risk to the patient or to the validity of study results. Candidates will be asked about medication use during the screening process and on the day of the exposure visits. The collected data will be reviewed by the PI or designee to confirm the candidates eligibility.
Known liver dysfunction or disease as defined by:
Known kidney dysfunction or disease or:
Estimated Glomerular Filtration Rate (eGFR)- <60 ml/min per the MDRD equation
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Participants will be recruited from the Environmental Polymorphisms Registry. Prior to enrollment in this study the participant will be required to enroll in the Environmental Polymorphisms Registry.@@@@@@
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| Name | Affiliation | Role |
|---|---|---|
| Shepherd H Schurman, M.D. | National Institute of Environmental Health Sciences (NIEHS) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| NIEHS Clinical Research Unit (CRU) | Research Triangle Park | North Carolina | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 17542018 | Background | de Castro WV, Mertens-Talcott S, Derendorf H, Butterweck V. Grapefruit juice-drug interactions: Grapefruit juice and its components inhibit P-glycoprotein (ABCB1) mediated transport of talinolol in Caco-2 cells. J Pharm Sci. 2007 Oct;96(10):2808-17. doi: 10.1002/jps.20975. | |
| 17269895 | Background | Paine MF, Oberlies NH. Clinical relevance of the small intestine as an organ of drug elimination: drug-fruit juice interactions. Expert Opin Drug Metab Toxicol. 2007 Feb;3(1):67-80. doi: 10.1517/17425255.3.1.67. |
| Label | URL |
|---|---|
| NIH Clinical Center Detailed Web Page | View source |
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| 21813277 | Background | Lang M, Seifert MH, Wolf KK, Aschenbrenner A, Baumgartner R, Wieber T, Trentinaglia V, Blisse M, Tajima N, Yamashita T, Vitt D, Noda H. Discovery and hit-to-lead optimization of novel allosteric glucokinase activators. Bioorg Med Chem Lett. 2011 Sep 15;21(18):5417-22. doi: 10.1016/j.bmcl.2011.06.128. Epub 2011 Jul 18. |