Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
93 participants
OBSERVATIONAL
2017-01-05
2019-05-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Proteomic Study of Urinary Stone Disease
NCT00199459
Hydroxycitrate: A Novel Therapy for Calcium Phosphate Urinary Stones
NCT06003348
Gut Microbiota in Patients With Urolithiasis
NCT05511337
Evaluating the Vitamin K2 Status of Calcium-based Stone Formers
NCT05081960
Comparison of the Efficacy of Flexible Ureteroscope and Percutaneous Nephroscopic Surgery in the Treatment of 2-4cm Kidney Stones
NCT06507176
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Primary study objective: Identify the unique urine proteomic markers of PH1 versus healthy intra-familial sibling controls of PHI patient specimens at one point in time (cross-sectionally).
Secondary study objective: Determine change over time in urine proteomic patterns, their association with change in estimated (calculated) kidney filtering function, and the relative risk for progression of PH1 and kidney disease progression.
Tertiary study objective: Establish if and when, in the course of PH1, the protective effects of the body (and kidneys) for normal kidney tissue healing are decreased/ lost as evidenced by the long-term change in biomarker patterns.
The primary endpoints of this study include standard clinical endpoints (data that a kidney doctor would look at as a PH1 patient would be followed over time in the clinic), as they best reflect PH1 disease progression: (a) estimated glomerular filtration rate (eGFR), known as kidney filtering function; (b) urine oxalate; and (c) plasma oxalate (when eGFR \< 40 ml/min/1.73 m2, which is when kidney function is significantly decreased).
The goal of the Rare Kidney Stone Consortium (RKSC) is to advance understanding and treatment of severe, rare forms of nephrolithiasis that cause marked excretion of insoluble minerals important in stone formation in which patients experience recurring stones from childhood onward and are at risk for chronic kidney disease. End state renal disease is common in PH1. Importantly, these conditions are rare enough that there has been minimal sharing of information and expertise among clinicians and scientists, a situation that has slowed progress toward effective treatments. Over the last 6 years, RKSC has formed secure, web-based registries and tissue banks open for collaborative projects.
About this Study: This is a pilot investigation using previously collected and archived (1) cross-sectional 24 hr. urine samples from PH1 patients (n=20) and healthy sibling controls (n=18) and (2) longitudinally collected 24 hr. urine samples from patients with PH1 enrolled in the RKSC registry bank (n=55). No new samples will be collected.
Additional information that will be collected (or provided with the urine specimens) as part of this study: De-identified data from each patient's health history, medications and supplements taken; history of kidney stones (and their chemical make-up); gender, current age, height, weight; old measurements of urine acidity, and blood oxalate, urine oxalate, calcium, citrate, and creatinine (from muscle breakdown) concentrations, and urine super saturation.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
CASE_CONTROL
OTHER
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Cohort 1 (Phase 1): PH1
Cross-Sectional/Observational
Observational
Not an interventional study. Analyses of previously collected urine specimens and data on estimated kidney filtering function.
Cohort 2 (Phase 1): Controls
Cross-Sectional/Observational
Observational
Not an interventional study. Analyses of previously collected urine specimens and data on estimated kidney filtering function.
Cohort 3 (Phase 2): PH1
Longitudinal/Observational
Observational
Not an interventional study. Analyses of previously collected urine specimens and data on estimated kidney filtering function.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Observational
Not an interventional study. Analyses of previously collected urine specimens and data on estimated kidney filtering function.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Have a previously collected 24 hour urine sample, a portion of which has been archived (frozen) for future research, because you are a healthy sibling of a PH1 patient, as described above.
Exclusion Criteria
* Have PH1 and have had a 24 hour sample collected but a portion of that specimen has not been archived (frozen) for future research;
* Do not have PH1.
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Mayo Clinic
OTHER
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
NIH
Ann & Robert H Lurie Children's Hospital of Chicago
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Craig B Langman, MD
Role: PRINCIPAL_INVESTIGATOR
Ann & Robert H Lurie hildren's Hospital of Chicago, Division of Kidney Diseases
References
Explore related publications, articles, or registry entries linked to this study.
Lapolla A, Seraglia R, Molin L, Williams K, Cosma C, Reitano R, Sechi A, Ragazzi E, Traldi P. Low molecular weight proteins in urines from healthy subjects as well as diabetic, nephropathic and diabetic-nephropathic patients: a MALDI study. J Mass Spectrom. 2009 Mar;44(3):419-25. doi: 10.1002/jms.1520.
Metzger J, Kirsch T, Schiffer E, Ulger P, Mentes E, Brand K, Weissinger EM, Haubitz M, Mischak H, Herget-Rosenthal S. Urinary excretion of twenty peptides forms an early and accurate diagnostic pattern of acute kidney injury. Kidney Int. 2010 Dec;78(12):1252-62. doi: 10.1038/ki.2010.322. Epub 2010 Sep 8.
Kistler AD, Serra AL, Siwy J, Poster D, Krauer F, Torres VE, Mrug M, Grantham JJ, Bae KT, Bost JE, Mullen W, Wuthrich RP, Mischak H, Chapman AB. Urinary proteomic biomarkers for diagnosis and risk stratification of autosomal dominant polycystic kidney disease: a multicentric study. PLoS One. 2013;8(1):e53016. doi: 10.1371/journal.pone.0053016. Epub 2013 Jan 10.
Evan AP, Coe FL, Lingeman JE, Shao Y, Sommer AJ, Bledsoe SB, Anderson JC, Worcester EM. Mechanism of formation of human calcium oxalate renal stones on Randall's plaque. Anat Rec (Hoboken). 2007 Oct;290(10):1315-23. doi: 10.1002/ar.20580.
Yasui T, Fujita K, Hayashi Y, Ueda K, Kon S, Maeda M, Uede T, Kohri K. Quantification of osteopontin in the urine of healthy and stone-forming men. Urol Res. 1999 Aug;27(4):225-30. doi: 10.1007/s002400050114.
Zhang Y, Wen Z, Washburn MP, Florens L. Refinements to label free proteome quantitation: how to deal with peptides shared by multiple proteins. Anal Chem. 2010 Mar 15;82(6):2272-81. doi: 10.1021/ac9023999.
Pieper R. Preparation of urine samples for proteomic analysis. Methods Mol Biol. 2008;425:89-99. doi: 10.1007/978-1-60327-210-0_8.
McIlwain S, Mathews M, Bereman MS, Rubel EW, MacCoss MJ, Noble WS. Estimating relative abundances of proteins from shotgun proteomics data. BMC Bioinformatics. 2012 Nov 19;13:308. doi: 10.1186/1471-2105-13-308.
Skates SJ, Gillette MA, LaBaer J, Carr SA, Anderson L, Liebler DC, Ransohoff D, Rifai N, Kondratovich M, Tezak Z, Mansfield E, Oberg AL, Wright I, Barnes G, Gail M, Mesri M, Kinsinger CR, Rodriguez H, Boja ES. Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies. J Proteome Res. 2013 Dec 6;12(12):5383-94. doi: 10.1021/pr400132j. Epub 2013 Oct 28.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
6409
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.