NCT03717883

Brief Summary

This is a single center, comparative cohort study to investigate alterations in hepatic transporter function in subjects with autosomal dominant polycystic kidney disease (ADPKD) compared to healthy subjects and subjects with non-ADPKD renal disease. Eligible subjects will be 18-65 years of age and of any race/ethnicity and gender.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
24

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Sep 2018

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

September 17, 2018

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

October 22, 2018

Completed
2 days until next milestone

First Posted

Study publicly available on registry

October 24, 2018

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 29, 2020

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

January 29, 2020

Completed
Last Updated

March 25, 2020

Status Verified

March 1, 2020

Enrollment Period

1.4 years

First QC Date

October 22, 2018

Last Update Submit

March 23, 2020

Conditions

Keywords

hepatic transporters

Outcome Measures

Primary Outcomes (1)

  • Difference in serum coproporphyrin I and III concentrations

    nmol

    2 hours

Secondary Outcomes (2)

  • Difference in serum and urine bile acid profiles

    2 hours

  • Difference in renal clearance of coproporphyrin I and III

    2 hours

Study Arms (2)

Healthy subjects

Subjects with ADPKD

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Healthy vs. ADPKD vs. non-ADPKD renal disease subjects

You may qualify if:

  • Provide signed and dated informed consent
  • Willing to comply with all study procedures and be available for the duration of the study
  • Male or female, aged 18 to 65
  • Negative quantitative human chorionic gonadotropin (hCG) blood test (for women of child-bearing age only)
  • For healthy subjects:
  • Normal liver functions tests (LFTs) as defined by the University of North Carolina (UNC) hospital laboratory reference range \[aspartate aminotransferase (AST)14-38 U/L, alanine aminotransferase (ALT) 15-48 U/L, alkaline phosphatase 38-126 U/L\]
  • Normal clinical laboratory results including kidney function (serum creatinine) and lipid panel as reviewed by the study physician
  • For subjects with ADPKD:
  • Man or woman between the ages of 18 and 65 with documented ADPKD
  • For subjects with non-ADPKD renal disease:
  • Man or woman between the ages of 18 and 65 with documented non-ADPKD renal disease as determined by the study physician

You may not qualify if:

  • All Participants:
  • Donation of blood within the last 30 days
  • Diagnosis of human immunodeficiency virus (HIV) and/or untreated hepatitis C virus (HCV)
  • History of significant alcohol abuse and/or illicit drug use
  • More than 1 glass of wine or 2 beers (or equivalent in % alcohol) per day during the 48 hours prior to study and/or screening visit
  • Inability to fast for 8 hours prior to study and screening sample collection
  • Women who are pregnant, trying to become pregnant, or breastfeeding
  • Current or recent (within 30 days) use of bile acid sequestrants, bile acid derivatives (i.e. ursodiol) or fibric acid derivatives
  • History of diabetes or taking blood glucose lowering treatments
  • Radiologic imaging consistent with cirrhosis and portal hypertension
  • Evidence of decompensated liver disease defined as any of the following: serum albumin \<3.2 g/dL, total bilirubin \> 1.5 mg/dL, or prothrombin time (PT)/international normalized ratio (INR) \> 1.3 times normal at screening, or history or presence of ascites, encephalopathy, or bleeding from esophageal varices
  • Estimated glomerular filtration rate (GFR)\< 15 mL/min per 1.73 m2, or on dialysis, at screening
  • Subjects with a condition requiring systemic treatment with either corticosteroids (\> 10 mg daily prednisone equivalent) or other immunosuppressive medications (including inhaled) within 14 days of study visit. Corticosteroids with minimal systemic absorption (for example topical) and adrenal replacement steroid doses ≤ 10 mg daily prednisone equivalent, are permitted in the absence of active autoimmune disease provided the dose has been stable for ≥4 weeks and is not expected to change during the course of the study.
  • Primary, secondary or extra-hepatic malignancy
  • BMI \> 35 kg/m2 at screening
  • +10 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of North Carolina

Chapel Hill, North Carolina, 27713, United States

Location

Related Publications (19)

  • Igarashi P, Somlo S. Genetics and pathogenesis of polycystic kidney disease. J Am Soc Nephrol. 2002 Sep;13(9):2384-98. doi: 10.1097/01.asn.0000028643.17901.42. No abstract available.

    PMID: 12191984BACKGROUND
  • Boucher C, Sandford R. Autosomal dominant polycystic kidney disease (ADPKD, MIM 173900, PKD1 and PKD2 genes, protein products known as polycystin-1 and polycystin-2). Eur J Hum Genet. 2004 May;12(5):347-54. doi: 10.1038/sj.ejhg.5201162.

    PMID: 14872199BACKGROUND
  • Cnossen WR, Drenth JP. Polycystic liver disease: an overview of pathogenesis, clinical manifestations and management. Orphanet J Rare Dis. 2014 May 1;9:69. doi: 10.1186/1750-1172-9-69.

    PMID: 24886261BACKGROUND
  • Salam M, Keeffe EB. Liver cysts associated with polycystic kidney disease: role of Tc-99m hepatobiliary imaging. Clin Nucl Med. 1989 Nov;14(11):803-7. doi: 10.1097/00003072-198911000-00003.

    PMID: 2598550BACKGROUND
  • Hofmann AF. The continuing importance of bile acids in liver and intestinal disease. Arch Intern Med. 1999 Dec 13-27;159(22):2647-58. doi: 10.1001/archinte.159.22.2647.

    PMID: 10597755BACKGROUND
  • Zollner G, Fickert P, Silbert D, Fuchsbichler A, Marschall HU, Zatloukal K, Denk H, Trauner M. Adaptive changes in hepatobiliary transporter expression in primary biliary cirrhosis. J Hepatol. 2003 Jun;38(6):717-27. doi: 10.1016/s0168-8278(03)00096-5.

    PMID: 12763363BACKGROUND
  • Kullak-Ublick GA, Stieger B, Meier PJ. Enterohepatic bile salt transporters in normal physiology and liver disease. Gastroenterology. 2004 Jan;126(1):322-42. doi: 10.1053/j.gastro.2003.06.005.

    PMID: 14699511BACKGROUND
  • Munoz-Garrido P, Marin JJ, Perugorria MJ, Urribarri AD, Erice O, Saez E, Uriz M, Sarvide S, Portu A, Concepcion AR, Romero MR, Monte MJ, Santos-Laso A, Hijona E, Jimenez-Aguero R, Marzioni M, Beuers U, Masyuk TV, LaRusso NF, Prieto J, Bujanda L, Drenth JP, Banales JM. Ursodeoxycholic acid inhibits hepatic cystogenesis in experimental models of polycystic liver disease. J Hepatol. 2015 Oct;63(4):952-61. doi: 10.1016/j.jhep.2015.05.023. Epub 2015 Jun 1.

    PMID: 26044126BACKGROUND
  • Shen H, Dai J, Liu T, Cheng Y, Chen W, Freeden C, Zhang Y, Humphreys WG, Marathe P, Lai Y. Coproporphyrins I and III as Functional Markers of OATP1B Activity: In Vitro and In Vivo Evaluation in Preclinical Species. J Pharmacol Exp Ther. 2016 May;357(2):382-93. doi: 10.1124/jpet.116.232066. Epub 2016 Feb 23.

    PMID: 26907622BACKGROUND
  • Gilibili RR, Chatterjee S, Bagul P, Mosure KW, Murali BV, Mariappan TT, Mandlekar S, Lai Y. Coproporphyrin-I: A Fluorescent, Endogenous Optimal Probe Substrate for ABCC2 (MRP2) Suitable for Vesicle-Based MRP2 Inhibition Assay. Drug Metab Dispos. 2017 Jun;45(6):604-611. doi: 10.1124/dmd.116.074740. Epub 2017 Mar 21.

    PMID: 28325716BACKGROUND
  • Devuyst O, Chapman AB, Gansevoort RT, Higashihara E, Perrone RD, Torres VE, Blais JD, Zhou W, Ouyang J, Czerwiec FS. Urine Osmolality, Response to Tolvaptan, and Outcome in Autosomal Dominant Polycystic Kidney Disease: Results from the TEMPO 3:4 Trial. J Am Soc Nephrol. 2017 May;28(5):1592-1602. doi: 10.1681/ASN.2016040448. Epub 2016 Dec 5.

    PMID: 27920153BACKGROUND
  • Watkins PB, Lewis JH, Kaplowitz N, Alpers DH, Blais JD, Smotzer DM, Krasa H, Ouyang J, Torres VE, Czerwiec FS, Zimmer CA. Clinical Pattern of Tolvaptan-Associated Liver Injury in Subjects with Autosomal Dominant Polycystic Kidney Disease: Analysis of Clinical Trials Database. Drug Saf. 2015 Nov;38(11):1103-13. doi: 10.1007/s40264-015-0327-3.

    PMID: 26188764BACKGROUND
  • Lai Y, Mandlekar S, Shen H, Holenarsipur VK, Langish R, Rajanna P, Murugesan S, Gaud N, Selvam S, Date O, Cheng Y, Shipkova P, Dai J, Humphreys WG, Marathe P. Coproporphyrins in Plasma and Urine Can Be Appropriate Clinical Biomarkers to Recapitulate Drug-Drug Interactions Mediated by Organic Anion Transporting Polypeptide Inhibition. J Pharmacol Exp Ther. 2016 Sep;358(3):397-404. doi: 10.1124/jpet.116.234914. Epub 2016 Jun 17.

    PMID: 27317801BACKGROUND
  • Brock WJ, Beaudoin JJ, Slizgi JR, Su M, Jia W, Roth SE, Brouwer KLR. Bile Acids as Potential Biomarkers to Assess Liver Impairment in Polycystic Kidney Disease. Int J Toxicol. 2018 Mar/Apr;37(2):144-154. doi: 10.1177/1091581818760746.

    PMID: 29587557BACKGROUND
  • Ferslew BC, Xie G, Johnston CK, Su M, Stewart PW, Jia W, Brouwer KL, Barritt AS 4th. Altered Bile Acid Metabolome in Patients with Nonalcoholic Steatohepatitis. Dig Dis Sci. 2015 Nov;60(11):3318-28. doi: 10.1007/s10620-015-3776-8. Epub 2015 Jul 3.

    PMID: 26138654BACKGROUND
  • Gurka MJ, Coffey CS, Gurka KK. Internal pilots for observational studies. Biom J. 2010 Oct;52(5):590-603. doi: 10.1002/bimj.201000050.

    PMID: 20857422BACKGROUND
  • Jennison C, Turnbull BW. Adaptive sample size modification in clinical trials: start small then ask for more? Stat Med. 2015 Dec 20;34(29):3793-810. doi: 10.1002/sim.6575. Epub 2015 Jul 14.

    PMID: 26172385BACKGROUND
  • Coffey CS, Muller KE. Properties of internal pilots with the univariate approach to repeated measures. Stat Med. 2003 Aug 15;22(15):2469-85. doi: 10.1002/sim.1466.

    PMID: 12872303BACKGROUND
  • Denne JS. Sample size recalculation using conditional power. Stat Med. 2001 Sep 15-30;20(17-18):2645-60. doi: 10.1002/sim.734.

    PMID: 11523074BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Blood samples used for potential studies will not be labeled with personal identifiers and will be stored for up to 10 years.

MeSH Terms

Conditions

Polycystic Kidney, Autosomal DominantKidney Diseases

Condition Hierarchy (Ancestors)

Polycystic Kidney DiseasesKidney Diseases, CysticUrologic DiseasesFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesMale Urogenital DiseasesAbnormalities, MultipleCongenital AbnormalitiesCongenital, Hereditary, and Neonatal Diseases and AbnormalitiesCiliopathiesGenetic Diseases, Inborn

Study Officials

  • Vimal Derebail, MD, MPH

    University of North Carolina, Chapel Hill

    PRINCIPAL INVESTIGATOR
  • Kim Brouwer, PharmD, PhD

    University of North Carolina, Chapel Hill

    STUDY DIRECTOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
OTHER
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 22, 2018

First Posted

October 24, 2018

Study Start

September 17, 2018

Primary Completion

January 29, 2020

Study Completion

January 29, 2020

Last Updated

March 25, 2020

Record last verified: 2020-03

Locations