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RecruitingNCT06210555MpRenalUpdated Aug 27, 2026

Multiparametric MRI in a Prospective Cohort of Living Kidney Donors, Recipients, and Healthy Controls: Correlations With Markers of Renal Function, Fibrosis and Ageing

An observational study in Kidney Transplantation, Multiparametric Magnetic Resonance Imaging and Living Donors, sponsored by Patrick Schjelderup. Recruiting at 2 sites in Denmark. Open to participants aged 18 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-08-27.

Sponsored by Patrick Schjelderup · Observational

From the registry’s dates

  • Started Oct 2024; still recruiting 2 years later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
96
Ages
18 Years to 80 Years
Sex
All
01

Study summary

Development of renal fibrosis is the irreversible culmination of various renal diseases and independently predicts adverse outcomes. Currently renal fibrosis can only be diagnosed by performing a renal biopsy. The procedure is invasive and is limited by sampling bias.

In recent years there has been a significant development in magnetic resonance imaging (MRI) based techniques. MRI can provide highly detailed anatomical images. Other MRI measures allow quantitative measurements of perfusion, oxygenation, tissue stiffness and diffusion of water molecules within tissue. The combination of several MRI techniques sensitive to different biophysical tissue properties in a single scan session is referred to as multiparametric MRI (mpMRI).

Emerging evidence suggests that mpMRI could represent a method for indirect characterization of renal microstructure and extent of fibrosis. So far, studies performed in living kidney donors and recipients have been mostly cross-sectional. For mpMRI to transition to the clinical setting there is a need for validation of MRI-based measures with currently used reference methods for quantifying renal function and fibrosis.

The aim of this longitudinal observational study in a cohort of living kidney donors, recipients and healthy controls is to investigate the utility of repeated mpMRI over a period of 2 years. MRI-based measures will be compared to current reference methods for quantifying renal function and fibrosis.

The investigators hypothesize that there will be significant correlations between MRI-based measures, renal function determined by precise measurement of glomerular filtration rate and extent of fibrosis determined by renal biopsy. MRI-based measures are expected to be predictive of renal function decline and development of renal fibrosis.

This study could provide valuable data that will be helpful in moving the field of renal mpMRI forward, with the goal of providing a novel and non-invasive method for the diagnosis of renal pathology.

Read the detailed description

Development of renal fibrosis is a characteristic end point of various renal diseases and independently predicts adverse renal outcomes. The most common cause of kidney allograft failure after 1 year is chronic allograft nephropathy which is characterized by interstitial fibrosis and tubular atrophy. At present the only method for quantifying renal fibrosis is a renal biopsy. Although the risk of complications is relatively low, the procedure is invasive, limiting its use for repeated assessments in a clinical setting. Furthermore, as only the renal cortex is usually sampled and because of the miniscule amount of tissue obtained there are issues of sampling bias and information on total renal fibrosis is limited. Estimated glomerular filtration rate (eGFR) is widely used for monitoring renal function but is insensitive for detecting allograft fibrosis.

Epidemiological data suggests that living kidney donors (LKD) are at increased risk of end stage renal disease compared to matched non-donors. Lower predonation renal function and higher age accentuate the risk. In a recent prospective study, renal cortex volume predicted renal outcome after 1 year in LKD.

In recent years there has been a rapid development in renal magnetic resonance imaging (MRI) techniques, allowing assessment of total renal morphology, microstructure, hemodynamics, oxygenation, and diffusion of water. Multiparametric MRI (mpMRI) refers to the combination of several MRI-based measures sensitive to different biophysical tissue properties in a single scan session. The information obtained could possibly provide a means of characterizing several aspects of renal function and morphology.

The MRI based measures that show the greatest promise for clinical application are longitudinal relaxation time (T1), diffusion weighted imaging (DWI), blood oxygen-level dependent imaging (BOLD) and arterial spin labelling (ASL). In a cross-sectional study, patients with chronic kidney disease (n=22) and healthy volunteers (n=22) were assessed with MRI-based measures and renal biopsy. MRI based measures were reproducible and correlated with currently used methods for measuring renal function. Significant differences were found in T1-mapping, apparent diffusion coefficient (ADC) and ASL in persons with low and high degrees of renal fibrosis. In another cross-sectional study (n = 164) the corticomedullary ADC difference was highly correlated to and independently associated with renal fibrosis in both native kidneys and allografts. In a more recent prospective study, the corticomedullary ADC difference was predictive of kidney function decline and dialysis initiation in transplant recipients and patients with CKD. Reduced oxygenation determined by low BOLD has been linked to the progression rate of chronic kidney disease. Interestingly, a study found that diffusion-based MRI measures detected an increase in allograft fibrosis before apparent changes in the estimated glomerular filtration rate.

Before mpMRI of the kidneys can be utilized in the clinical setting there is a need for development of a larger evidence base. To date clinical studies employing MRI-based measures have been mostly cross-sectional. So far, only few studies have been performed in living kidney donors (LKD) and renal transplant recipients. To the best of our knowledge, no studies have been performed with long term follow-up including repeated mpMRI, renal biopsies and accurate measurement of glomerular filtration rate with DTPA clearance. Repeated imaging is necessary to establish how MRI-based measures change over time in association with currently used reference methods for quantifying renal function and fibrosis.

Accelerated renal ageing trough p16INK4a pathway activation, leading to cellular senescence, is involved in the development of renal fibrosis. Senescent cells are characterized by irreversible growth arrest and express a pro-inflammatory and pro-fibrotic senescent associated secretory phenotype (SASP). This biochemical footprint can be detected by immunohistochemistry and may be predictive of renal fibrosis in chronic kidney disease and renal transplantation.

Serum uromodulin (sUmod) and urinary epidermal growth factor (uEGF) originate from kidney tubules and may reflect functional nephron mass and are associated with renal function decline and fibrosis.

Klotho, which was initially known as an anti-ageing gene is expressed on the cell surface membranes of proximal and distal tubules. Decreasing levels of soluble klotho accompany chronic kidney disease and have been linked to the development of renal fibrosis.

The overall aim of this prospective follow-up study is to investigate the utility of repeated mpMRI and biomarkers in monitoring renal function and for detecting the development of fibrosis in renal allografts. MRI-based measures and biomarkers of renal ageing and fibrosis will be compared to current gold standard methods for characterizing and quantifying renal function and fibrosis in a cohort of LKD, recipients and healthy controls.

Several components of this study are exploratory. A novel and non-standardised combination of MRI-based measures performed in a single scan session is used, and specific prior data to inform estimates of accuracy and variance for this combined protocol are limited. The formal power calculation therefore applies specifically to the primary histological validation analysis in transplant recipients, in whom serial protocol biopsies are obtained. Analyses involving living kidney donors and healthy controls, diagnostic performance, circulating biomarkers, and the principal component analysis-derived composite MRI index are secondary or exploratory and are not individually powered. Furthermore, published data on the relationships between MRI-based measures and fibrosis are heterogenous regarding the methods used for quantifying fibrosis histologically and thresholds for fibrosis.

The prevalence of fibrosis in renal allografts, which is of primary interest is expected to increase from baseline to the final visit. Based on previous work it is expected that 40-50 % of renal allografts will have significant levels of fibrosis after 2 years. It is however possible, that present levels of fibrosis in allografts are lower than previous due to optimized immunosuppressive regimens.

The target sample size of 32 evaluable participants per cohort was fixed at the design stage on feasibility grounds, based on the annual volume of living-donor transplantation at the two participating centres and an anticipated 20% attrition. In December 2025 a Monte Carlo simulation (500 replications) was performed to characterise the statistical power of this fixed sample size for the primary longitudinal analysis in transplant recipients. The simulation assumed 32 evaluable recipients with paired mpMRI and biopsy data at four time points (0, 3, 12 and 24 months), an intra-subject correlation of 0.6 for histological fibrosis, a residual standard deviation of 10 percentage points, and an intra-subject correlation of 0.7 for the MRI measure. The model was a linear mixed-effects model of fibrosis on time and the MRI measure entered as a time-varying covariate, with a random intercept for participant. Under these assumptions the study has 84% power to detect an effect of approximately 5 percentage points of fibrosis per 1 SD of the MRI measure at two-sided alpha of 0.05. The simulation did not alter the sample size, the recruitment target, the eligibility criteria or the outcome measures.

During the inclusion period LKD and recipients from Aalborg- and Aarhus University Hospital will be offered to participate in the study. Currently approximately 30-35 living donor pairs are transplanted annually. During the inclusion period of 2 years, the investigators aim to include 40 living donors and recipients. With an expected drop-out of 20% 32 living donors and recipients are expected to complete the study.

Multiparametric MRI mpMRI will be performed according to standard operating procedure in the Department of Diagnostic imaging at the participating hospitals.

The mpMRI scan protocol will be performed on a 3 Tesla MRI scanner (General Electrics (GE) Healthcare) and includes the following MRI measures:

  • Structural T2 and/or T1 weighted renal MRI (for volumetric measurement)
  • Diffusion weighted imaging (DWI) with b-values 0, 10, 20, 30, 40, 50, 70, 100, 200, 300, 400, 500, 800 s/mm2
  • T1- and T2-mapping
  • BOLD MRI with T2*
  • ASL perfusion
  • Non-contrast Magnetic Resonance Angiography
  • Quantitative flow measurements in the renal arteries

Scan time is approximately 45 minutes. During this time participants will be required to lie still in the supine position. Participants are instructed to refrain from eating for 3 hours prior to each scan; intake of liquids is permitted. In accordance with PARENCHIMA recommendations, participants attend in a normally hydrated state and no fixed fluid-loading protocol is applied.

Postprocessing of MRI data will be done with the aid of commercially available software and analysis software developed in-house in collaboration with Aalborg- and Aarhus University Hospital and Aarhus university.

99mTc-DTPA clearance is a method for accurately measuring GFR. The DTPA clearance will be performed according to standard operating procedure at the Departments of Diagnostic Imaging at the participating hospitals.

Allograft biopsy Allograft biopsy Biopsies are obtained under ultrasound guidance. Biopsies performed at Aarhus University Hospital, which account for the large majority of study biopsies, use an 18G needle; the smaller number performed at Aalborg University Hospital use a 16G needle. Needle gauge is therefore determined by study site rather than by participant characteristics or clinical circumstance. Specimens are fixed in phosphate-buffered 4% formaldehyde, embedded in paraffin, and stained with hematoxylin and eosin, periodic acid-Schiff, and Masson trichrome.

Quantitative histological evaluation will be used to evaluate biopsies using and Olympus BX50 light microscope (Olympus Denmark, Ballerup, Denmark) equipped with a prior motorized stage, and Olympus DP70 digital camera interfaced to a PC with commercially available newCAST software (Visiopharm, Hørsholm, Denmark).

Extent of fibrosis will be quantified by systematic evaluation of scattered test points (≈100) across the Masson trichrome-stained sections using a x4 lens (NA 0.13) (29).

Additionally, biopsies will be evaluated for markers of renal ageing and fibrosis:

  • p16INK4a pathway activation
  • klotho
  • additional markers of renal ageing and fibrosis

Blood- and urine samples Hemoglobin, hematocrit, leukocytes, platelets, CRP, creatinine, eGFR, urea, sodium, potassium, total phosphate, bicarbonate, ionized calcium, total magnesium, intact PTH, alkaline phosphatase, glucose, soluble klotho and sUmod.

A spot urine sample will be used for the determination of u-albumin/creatinine ratio, glucose, leucocytes, nitrite, blood and uEGF.

Analysis plan. The statistical analysis plan was developed in full during preparation of the study protocol manuscript, after recruitment had commenced, and is described in detail in the published protocol. It comprises linear mixed-effects modelling of the association between MRI measures and histological fibrosis, corticomedullary difference and ratio variables derived from T1, T2, T2* and ADC, a principal component analysis-derived composite MRI index designated as exploratory and internally validated by bootstrap resampling, receiver operating characteristic analysis at fibrosis thresholds of 10% and 25%, and an assessment of intraobserver reproducibility of MRI post-processing. None of these analyses altered the outcome measures, the eligibility criteria or the target enrolment.

02

Conditions studied

  • Kidney Transplantation
  • Multiparametric Magnetic Resonance Imaging
  • Living Donors
  • Renal Fibrosis
  • Senescence

Browse trials for

Keywords

  • MRI
  • Multiparametric
  • Renal transplantation
  • Fibrosis
  • Kidney donor
03

In context

Fibrosis

1,270 studies on the registry are indexed under Fibrosis; 276 are open to participants now.

This study's planned enrollment of 96 is below the median of 157 across 386 observational studies indexed under Fibrosis.

Browse Fibrosis studies →

Lead sponsor

This is the only study on the registry with Patrick Schjelderup as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Prospective cohort of living kidney donors, recipients and healthy controls. Donors and recipients will be recruited from the Departments of Renal Medicine at Aalborg- and Aarhus University Hospital. Healthy controls will be matched by age and sex to living kidney donors.

Based on power calculations we aim to include 32 participants in each cohort. Inclusion period of 2 years is expected and 2 years of follow-up planned.

Eligibility criteria

Living kidney donors and transplant recipients:

Inclusion Criteria:

  • Approved as a living kidney donor or recipient of a kidney from a living donor.
  • Able to cooperate to an MRI examination

Exclusion Criteria:

  • to MRI due to incompatible foreign objects.
  • Severe claustrophobia

Healthy controls:

Inclusion Criteria:

  • Office BP \< 140/90 mmHg. (use of 1 antihypertensive drug allowed)
  • Normal . (CKD-EPI)
  • Urine albumin-to-creatinine ratio \< 30 mg/g.
  • Dipstick negative for hematuria and proteinuria.
  • Able to cooperate to an MRI examination.

Exclusion Criteria:

  • Contraindications to MRI due to incompatible foreign objects.
  • Severe claustrophobia.
  • Pregnancy.
  • Condition(s) that would exclude living kidney donation.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

GFR and eGFR (kidney filtering)

GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².

Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
96 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Living kidney donors

    Living kidney donors

    Procedure: Living kidney donation

  • Transplant recipients

    Recipients of kidneys from living donors

    Procedure: Renal transplantation

  • Healthy controls

    Age- and sex matched healthy controls (Living kidney donors)

Interventions

  • ProcedureRenal transplantation

    Operative procedure - receipt of a kidney

  • ProcedureLiving kidney donation

    Operative procedure - donation of a kidney

06

What researchers measure

Primary outcomes

  1. Correlation between MRI-based measures (T1/T2-mapping, ADC, ASL) and fibrosis quantified by morphometric evaluation renal biopsy.

    Changes in MRI-based measures will be correlated to changes in allograft fibrosis quantified by morphometric evaluation of renal biopsy.

    Time frame: Multiparametric MRI and allograft biopsy at baseline, 3 months, 12 months and 24 months.

Secondary outcomes

  1. Correlation between MRI-based measures (T1/T2-mapping, ADC, ASL) and measured GFR.

    Changes in MRI-based measures will be correlated to changes in measured GFR. (DTPA clearance)

    Time frame: Multiparametric MRI and DTPA clearance baseline, 3 months, 12 months and 24 months.

  2. Diagnostic performance of MRI-based measures and biomarkers as regards to allograft fibrosis.

    Receiver operating characteristic curves, sensitivity, specificity, positive- and negative predicitive values will be specified.

    Time frame: Multiparametric MRI and biomarkers at baseline, 3 months, 12 months and 24 months.

  3. Predictive value of MRI-based measures and biomarkers of renal ageing and fibrosis as regards to development of allograft fibrosis and renal function decline.

    Multiple regression modelling with MRI-based measures and biomarkers as independent variables and measured GFR and allograft fibrosis as dependent variables.

    Time frame: Multiparametric MRI and biomarkers at baseline, 3 months, 12 months and 24 months.

07

Study locations

2 of 2 sites recruiting
  • Department of Renal Medicine, Aarhus University Hospital
    Aarhus, Central Jutland 8200, Denmark
    Recruiting
  • Department of Nephrology, Aalborg University Hospital
    Aalborg, North Denmark 9200, Denmark
    Recruiting
    • Patrick Schjelderup, MD · Contactpasc@rn.dk · +4522212589
    • Patrick Schjelderup, MD · Principal investigator
08

References and documents

Publications

  • Nath KA. Tubulointerstitial changes as a major determinant in the progression of renal damage. Am J Kidney Dis. 1992 Jul;20(1):1-17. doi: 10.1016/s0272-6386(12)80312-x. PubMed 1621674 ↗
  • Eknoyan G, McDonald MA, Appel D, Truong LD. Chronic tubulo-interstitial nephritis: correlation between structural and functional findings. Kidney Int. 1990 Oct;38(4):736-43. doi: 10.1038/ki.1990.266. No abstract available. PubMed 2232511 ↗
  • Park WD, Griffin MD, Cornell LD, Cosio FG, Stegall MD. Fibrosis with inflammation at one year predicts transplant functional decline. J Am Soc Nephrol. 2010 Nov;21(11):1987-97. doi: 10.1681/ASN.2010010049. Epub 2010 Sep 2. PubMed 20813870 ↗
  • Vadivel N, Tullius SG, Chandraker A. Chronic allograft nephropathy. Semin Nephrol. 2007 Jul;27(4):414-29. doi: 10.1016/j.semnephrol.2007.03.004. PubMed 17616274 ↗
  • Uslu A, Hur E, Sen C, Sen S, Akgun A, Tasli FA, Nart A, Yilmaz M, Toz H. To what extent estimated or measured GFR could predict subclinical graft fibrosis: a comparative prospective study with protocol biopsies. Transpl Int. 2015 May;28(5):575-81. doi: 10.1111/tri.12534. Epub 2015 Feb 27. PubMed 25639483 ↗
  • Mjoen G, Hallan S, Hartmann A, Foss A, Midtvedt K, Oyen O, Reisaeter A, Pfeffer P, Jenssen T, Leivestad T, Line PD, Ovrehus M, Dale DO, Pihlstrom H, Holme I, Dekker FW, Holdaas H. Long-term risks for kidney donors. Kidney Int. 2014 Jul;86(1):162-7. doi: 10.1038/ki.2013.460. Epub 2013 Nov 27. PubMed 24284516 ↗
  • O'Keeffe LM, Ramond A, Oliver-Williams C, Willeit P, Paige E, Trotter P, Evans J, Wadstrom J, Nicholson M, Collett D, Di Angelantonio E. Mid- and Long-Term Health Risks in Living Kidney Donors: A Systematic Review and Meta-analysis. Ann Intern Med. 2018 Feb 20;168(4):276-284. doi: 10.7326/M17-1235. Epub 2018 Jan 30. PubMed 29379948 ↗
  • Buus NH, Nielsen CM, Skov K, Ibsen L, Krag S, Nyengaard JR. Prediction of Renal Function in Living Kidney Donors and Recipients of Living Donor Kidneys Using Quantitative Histology. Transplantation. 2023 Jan 1;107(1):264-273. doi: 10.1097/TP.0000000000004266. Epub 2022 Jul 27. PubMed 35883240 ↗
  • Cox EF, Buchanan CE, Bradley CR, Prestwich B, Mahmoud H, Taal M, Selby NM, Francis ST. Multiparametric Renal Magnetic Resonance Imaging: Validation, Interventions, and Alterations in Chronic Kidney Disease. Front Physiol. 2017 Sep 14;8:696. doi: 10.3389/fphys.2017.00696. eCollection 2017. PubMed 28959212 ↗
  • Caroli A, Pruijm M, Burnier M, Selby NM. Functional magnetic resonance imaging of the kidneys: where do we stand? The perspective of the European COST Action PARENCHIMA. Nephrol Dial Transplant. 2018 Sep 1;33(suppl_2):ii1-ii3. doi: 10.1093/ndt/gfy181. No abstract available. PubMed 30137582 ↗
  • Simms R, Sourbron S. Recent findings on the clinical utility of renal magnetic resonance imaging biomarkers. Nephrol Dial Transplant. 2020 Jun 1;35(6):915-919. doi: 10.1093/ndt/gfaa125. No abstract available. PubMed 32516808 ↗
  • Francis ST, Selby NM, Taal MW. Magnetic Resonance Imaging to Evaluate Kidney Structure, Function, and Pathology: Moving Toward Clinical Application. Am J Kidney Dis. 2023 Oct;82(4):491-504. doi: 10.1053/j.ajkd.2023.02.007. Epub 2023 May 13. PubMed 37187282 ↗
  • Buchanan CE, Mahmoud H, Cox EF, McCulloch T, Prestwich BL, Taal MW, Selby NM, Francis ST. Quantitative assessment of renal structural and functional changes in chronic kidney disease using multi-parametric magnetic resonance imaging. Nephrol Dial Transplant. 2020 Jun 1;35(6):955-964. doi: 10.1093/ndt/gfz129. PubMed 31257440 ↗
  • Berchtold L, Friedli I, Crowe LA, Martinez C, Moll S, Hadaya K, de Perrot T, Combescure C, Martin PY, Vallee JP, de Seigneux S. Validation of the corticomedullary difference in magnetic resonance imaging-derived apparent diffusion coefficient for kidney fibrosis detection: a cross-sectional study. Nephrol Dial Transplant. 2020 Jun 1;35(6):937-945. doi: 10.1093/ndt/gfy389. PubMed 30608554 ↗
  • Sugiyama K, Inoue T, Kozawa E, Ishikawa M, Shimada A, Kobayashi N, Tanaka J, Okada H. Reduced oxygenation but not fibrosis defined by functional magnetic resonance imaging predicts the long-term progression of chronic kidney disease. Nephrol Dial Transplant. 2020 Jun 1;35(6):964-970. doi: 10.1093/ndt/gfy324. PubMed 30418615 ↗
  • Berchtold L, Crowe LA, Friedli I, Legouis D, Moll S, de Perrot T, Martin PY, Vallee JP, de Seigneux S. Diffusion magnetic resonance imaging detects an increase in interstitial fibrosis earlier than the decline of renal function. Nephrol Dial Transplant. 2020 Jul 1;35(7):1274-1276. doi: 10.1093/ndt/gfaa007. No abstract available. PubMed 32160279 ↗
  • Selby NM, Blankestijn PJ, Boor P, Combe C, Eckardt KU, Eikefjord E, Garcia-Fernandez N, Golay X, Gordon I, Grenier N, Hockings PD, Jensen JD, Joles JA, Kalra PA, Kramer BK, Mark PB, Mendichovszky IA, Nikolic O, Odudu A, Ong ACM, Ortiz A, Pruijm M, Remuzzi G, Rorvik J, de Seigneux S, Simms RJ, Slatinska J, Summers P, Taal MW, Thoeny HC, Vallee JP, Wolf M, Caroli A, Sourbron S. Magnetic resonance imaging biomarkers for chronic kidney disease: a position paper from the European Cooperation in Science and Technology Action PARENCHIMA. Nephrol Dial Transplant. 2018 Sep 1;33(suppl_2):ii4-ii14. doi: 10.1093/ndt/gfy152. PubMed 30137584 ↗
  • Docherty MH, O'Sullivan ED, Bonventre JV, Ferenbach DA. Cellular Senescence in the Kidney. J Am Soc Nephrol. 2019 May;30(5):726-736. doi: 10.1681/ASN.2018121251. Epub 2019 Apr 18. PubMed 31000567 ↗
  • van Deursen JM. The role of senescent cells in ageing. Nature. 2014 May 22;509(7501):439-46. doi: 10.1038/nature13193. PubMed 24848057 ↗
  • Melk A, Schmidt BM, Vongwiwatana A, Rayner DC, Halloran PF. Increased expression of senescence-associated cell cycle inhibitor p16INK4a in deteriorating renal transplants and diseased native kidney. Am J Transplant. 2005 Jun;5(6):1375-82. doi: 10.1111/j.1600-6143.2005.00846.x. PubMed 15888044 ↗
  • Chan J, Svensson M, Tannaes TM, Waldum-Grevbo B, Jenssen T, Eide IA. Associations of Serum Uromodulin and Urinary Epidermal Growth Factor with Measured Glomerular Filtration Rate and Interstitial Fibrosis in Kidney Transplantation. Am J Nephrol. 2022;53(2-3):108-117. doi: 10.1159/000521757. Epub 2022 Feb 1. PubMed 35104815 ↗
  • Yepes-Calderon M, Sotomayor CG, Kretzler M, Gans ROB, Berger SP, Navis GJ, Ju W, Bakker SJL. Urinary Epidermal Growth Factor/Creatinine Ratio and Graft Failure in Renal Transplant Recipients: A Prospective Cohort Study. J Clin Med. 2019 Oct 13;8(10):1673. doi: 10.3390/jcm8101673. PubMed 31614925 ↗
  • Kottgen A, Hwang SJ, Larson MG, Van Eyk JE, Fu Q, Benjamin EJ, Dehghan A, Glazer NL, Kao WH, Harris TB, Gudnason V, Shlipak MG, Yang Q, Coresh J, Levy D, Fox CS. Uromodulin levels associate with a common UMOD variant and risk for incident CKD. J Am Soc Nephrol. 2010 Feb;21(2):337-44. doi: 10.1681/ASN.2009070725. Epub 2009 Dec 3. PubMed 19959715 ↗
  • Scherberich JE, Gruber R, Nockher WA, Christensen EI, Schmitt H, Herbst V, Block M, Kaden J, Schlumberger W. Serum uromodulin-a marker of kidney function and renal parenchymal integrity. Nephrol Dial Transplant. 2018 Feb 1;33(2):284-295. doi: 10.1093/ndt/gfw422. PubMed 28206617 ↗
  • Cho NJ, Han DJ, Lee JH, Jang SH, Kang JS, Gil HW, Park S, Lee EY. Soluble klotho as a marker of renal fibrosis and podocyte injuries in human kidneys. PLoS One. 2018 Mar 28;13(3):e0194617. doi: 10.1371/journal.pone.0194617. eCollection 2018. PubMed 29590173 ↗
  • Buchanan S, Combet E, Stenvinkel P, Shiels PG. Klotho, Aging, and the Failing Kidney. Front Endocrinol (Lausanne). 2020 Aug 27;11:560. doi: 10.3389/fendo.2020.00560. eCollection 2020. PubMed 32982966 ↗
  • Nankivell BJ, Borrows RJ, Fung CL, O'Connell PJ, Allen RD, Chapman JR. The natural history of chronic allograft nephropathy. N Engl J Med. 2003 Dec 11;349(24):2326-33. doi: 10.1056/NEJMoa020009. PubMed 14668458 ↗
  • Stegall MD, Park WD, Larson TS, Gloor JM, Cornell LD, Sethi S, Dean PG, Prieto M, Amer H, Textor S, Schwab T, Cosio FG. The histology of solitary renal allografts at 1 and 5 years after transplantation. Am J Transplant. 2011 Apr;11(4):698-707. doi: 10.1111/j.1600-6143.2010.03312.x. Epub 2010 Nov 9. PubMed 21062418 ↗
09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Oct 2024 (actual). Primary completion is estimated for Mar 2029, 52 months after the start.

Of 177 non-industry observational studies under Fibrosis, half reached primary completion within 52 months of starting (the median), counting those still running; a quarter within 21 and three quarters within 105. This study's planned 52 months is close to that.

Counting every sponsor, half of 186 studies reached it within 48 months; a quarter within 21 and three quarters within 105.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 8, 2024
First posted
Jan 18, 2024
StartActual
Oct 29, 2024
Primary completionEst.
Mar 1, 2029
CompletionEst.
Dec 31, 2029
Last update
Aug 27, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 27, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06210555
Lead sponsor
Patrick Schjelderup
Responsible party
Patrick Schjelderup (Principal Investigator, Aalborg University Hospital) — Sponsor-investigator
First posted
Jan 18, 2024
Start date
Oct 29, 2024
Primary completion
Mar 1, 2029 (estimated)
Completion
Dec 31, 2029 (estimated)
Last update
Aug 27, 2026

Study contacts

Patrick Schjelderup, MD
Contact
pasc@rn.dk
+4522212589
Patrick Schjelderup, MD
principal investigator · Aalborg University Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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