User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

Urinary biomarkers at early ADPKD disease stage

Primary tabs

download
  • Open access
  • PDF
  • 1.57 M
Petzold, Katja [Institute of Physiology and Zurich Center for Integrative Human Physiology, Zurich, Switzerland] Poster, Diane [Division of Nephrology, University Hospital Zurich, Zurich, Switzerland] Krauer, Fabienne [Division of Nephrology, University Hospital Zurich, Zurich, Switzerland] Spanaus, Katharina [Institute of Clinical Chemistry, University and University Hospital Zurich, Zurich, Switzerland] Andreisek, Gustav [Department of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland] Ho, Thien Anh [UCL] Rotar, Laura [Institute of Physiology and Zurich Center for Integrative Human Physiology, Zurich, Switzerland]

Background Autosomal dominant polycystic kidney disease (ADPKD) is characterized by a decline in renal function at late disease stage when the majority of functional renal parenchyma is replaced by cystic tissue. Thus, kidney function, assessed by estimated glomerular filtration rate (eGFR) does not well represent disease burden in early disease. Here, we investigated various urinary markers for tubular injury and their association with disease burden in ADPKD patients at early disease course. Methods ADPKD patients between 18 and 40 years with an eGFR greater or equal to 70 ml per min per 1.73m<sup>2</sup> were eligible for this cross-sectional study. Urinary Neutrophil Gelatinase-Associated Lipocalin (NGAL), Kidney Injury Molecule-1 (KIM-1), and Uromodulin (UMOD) were investigated by Enzyme-Linked Immunosorbent Assay. Clara Cell Protein 16 (CC16) was investigated by Latex Immuno Assay. Cryoscopy was performed to assess urine osmolality and Urinary Albumin-to-Creatinine Ratio (UACR) was calculated. The association and the predictive properties of the markers on eGFR and height adjusted total kidney volume (htTKV) was evaluated using multiple regression analysis, incorporating different control variables for adjustment. Internal bootstrapping validated the obtained results. Results In 139 ADPKD patients (age 31 ±7 years, mean eGFRof 93 ± 19 ml per min per 1.73m<sup>2</sup>) the total kidney volume was negatively correlated with eGFR and UMOD and positive associated with age, UACR, KIM-1 and urine osmolality after adjustment for possible confounders. Urine osmolality and htTKV were also associated with eGFR, whereas no association of CC16, NGAL and UMOD with eGFR or htTKV was found. Conclusion UACR and urinary KIM-1 are independently associated with kidney size but not with renal function in our study population. Urine osmolality was associated with eGFR and kidney volume following adjustment for multiple confounders. Despite statistical significance, the clinical value of our results is not yet conceivable. Further studies are needed to evaluate the property of the aforementioned biomarkers to assess disease state at early ADPKD stage.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès libre
Publication date 2015
Language Anglais
Journal information "PLoS One" - Vol. 10, no. 4, p. e0123555 [1-15] (2015)
Peer reviewed yes
Publisher Public Library of Science ((United States) San Francisco, CA)
e-issn 1932-6203
Publication status Publié
Affiliation UCL - (SLuc) Service de néphrologie
Links
  1. Torres Vicente E, Harris Peter C, Pirson Yves, Autosomal dominant polycystic kidney disease, 10.1016/s0140-6736(07)60601-1
  2. Meijer Esther, Boertien Wendy E., Nauta Ferdau L., Bakker Stephan J.L., van Oeveren Wim, Rook Mieneke, van der Jagt Eric J., van Goor Harry, Peters Dorien J.M., Navis Gerjan, de Jong Paul E., Gansevoort Ron T., Association of Urinary Biomarkers With Disease Severity in Patients With Autosomal Dominant Polycystic Kidney Disease: A Cross-sectional Analysis, 10.1053/j.ajkd.2010.06.023
  3. Blanco G., Wallace D. P., Novel role of ouabain as a cystogenic factor in autosomal dominant polycystic kidney disease, 10.1152/ajprenal.00248.2013
  4. Briggs Josephine P., The hunt for the perfect biomarker for acute kidney injury: back to gamma-trace?, 10.1038/ki.2008.426
  5. Mayeux Richard, Biomarkers: Potential uses and limitations, 10.1602/neurorx.1.2.182
  6. Singer Eugenia, Elger Antje, Elitok Saban, Kettritz Ralph, Nickolas Thomas L., Barasch Jonathan, Luft Friedrich C., Schmidt-Ott Kai M., Urinary neutrophil gelatinase-associated lipocalin distinguishes pre-renal from intrinsic renal failure and predicts outcomes, 10.1038/ki.2011.41
  7. Damman K., Van Veldhuisen D. J., Navis G., Vaidya V. S., Smilde T. D. J., Westenbrink B. D., Bonventre J. V., Voors A. A., Hillege H. L., Tubular damage in chronic systolic heart failure is associated with reduced survival independent of glomerular filtration rate, 10.1136/hrt.2010.194878
  8. Åberg Fredrik, Lempinen Marko, Hollmén Maria, Nordin Arno, Mäkisalo Heikki, Isoniemi Helena, Neutrophil gelatinase-associated lipocalin associated with irreversibility of pre-liver transplant kidney dysfunction, 10.1111/ctr.12394
  9. Nisula Sara, Yang Runkuan, Kaukonen Kirsi-Maija, Vaara Suvi T., Kuitunen Anne, Tenhunen Jyrki, Pettilä Ville, Korhonen Anna-Maija, The Urine Protein NGAL Predicts Renal Replacement Therapy, but Not Acute Kidney Injury or 90-Day Mortality in Critically Ill Adult Patients : , 10.1213/ane.0000000000000243
  10. Haase-Fielitz A., Haase M., Devarajan P., Neutrophil gelatinase-associated lipocalin as a biomarker of acute kidney injury: a critical evaluation of current status, 10.1177/0004563214521795
  11. Arthur John M., Hill Elizabeth G., Alge Joseph L., Lewis Evelyn C., Neely Benjamin A., Janech Michael G., Tumlin James A., Chawla Lakhmir S., Shaw Andrew D., Evaluation of 32 urine biomarkers to predict the progression of acute kidney injury after cardiac surgery, 10.1038/ki.2013.333
  12. Rampoldi Luca, Scolari Francesco, Amoroso Antonio, Ghiggeri GianMarco, Devuyst Olivier, The rediscovery of uromodulin (Tamm–Horsfall protein): from tubulointerstitial nephropathy to chronic kidney disease, 10.1038/ki.2011.134
  13. Möllsten Anna, Torffvit Ole, Tamm–Horsfall protein gene is associated with distal tubular dysfunction in patients with type 1 diabetes, 10.3109/00365599.2010.504190
  14. Chakraborty Joana, Below Angela A., Solaiman Deana, Tamm-Horsfall protein in patients with kidney damage and diabetes, 10.1007/s00240-003-0374-6
  15. Zhou Jingjing, Chen Yuqing, Liu Ying, Shi Sufang, Wang Suxia, Li Xueying, Zhang Hong, Wang Haiyan, Urinary Uromodulin Excretion Predicts Progression of Chronic Kidney Disease Resulting from IgA Nephropathy, 10.1371/journal.pone.0071023
  16. Bernard A., Lauwerys R., Low-molecular-weight proteins as markers of organ toxicity with special reference to Clara cell protein, 10.1016/0378-4274(95)03284-3
  17. AM Bernard, Kidney Int Suppl, 47, S34 (1994)
  18. Serra Andreas L., Poster Diane, Kistler Andreas D., Krauer Fabienne, Raina Shagun, Young James, Rentsch Katharina M., Spanaus Katharina S., Senn Oliver, Kristanto Paulus, Scheffel Hans, Weishaupt Dominik, Wüthrich Rudolf P., Sirolimus and Kidney Growth in Autosomal Dominant Polycystic Kidney Disease, 10.1056/nejmoa0907419
  19. Pavik Ivana, Jaeger Philippe, Kistler Andreas D., Poster Diane, Krauer Fabienne, Cavelti-Weder Claudia, Rentsch Katharina M., Wüthrich Rudolf P., Serra Andreas L., Patients with autosomal dominant polycystic kidney disease have elevated fibroblast growth factor 23 levels and a renal leak of phosphate, 10.1038/ki.2010.375
  20. Pei Y., Obaji J., Dupuis A., Paterson A. D., Magistroni R., Dicks E., Parfrey P., Cramer B., Coto E., Torra R., San Millan J. L., Gibson R., Breuning M., Peters D., Ravine D., Unified Criteria for Ultrasonographic Diagnosis of ADPKD, 10.1681/asn.2008050507
  21. Levey Andrew S., Stevens Lesley A., Schmid Christopher H., Zhang Yaping (Lucy), Castro Alejandro F., Feldman Harold I., Kusek John W., Eggers Paul, Van Lente Frederick, Greene Tom, Coresh Josef, , A New Equation to Estimate Glomerular Filtration Rate, 10.7326/0003-4819-150-9-200905050-00006
  22. Youhanna Sonia, Weber Julien, Beaujean Viviane, Glaudemans Bob, Sobek Jens, Devuyst Olivier, Determination of uromodulin in human urine: influence of storage and processing, 10.1093/ndt/gft345
  23. Bernard Alfred, Lauwerys Robert, Noel André, Vandeleene Bernard, Lambert André, Determination by latex immunoassay of protein 1 in normal and pathological urine, 10.1016/0009-8981(91)90374-l
  24. Kistler Andreas D., Poster Diane, Krauer Fabienne, Weishaupt Dominik, Raina Shagun, Senn Oliver, Binet Isabelle, Spanaus Katharina, Wüthrich Rudolf P., Serra Andreas L., Increases in kidney volume in autosomal dominant polycystic kidney disease can be detected within 6 months, 10.1038/ki.2008.558
  25. Lohninger H. Lohninger: Grundlagen der Statistik—Google Scholar. Virtual Institute of Applied Science Von statistic for you …. 2007.
  26. Chao Yi-Chun E., Zhao Yue, Kupper Lawrence L., Nylander-French Leena A., Quantifying the Relative Importance of Predictors in Multiple Linear Regression Analyses for Public Health Studies, 10.1080/15459620802225481
  27. Wagenmakers Eric-Jan, Farrell Simon, AIC model selection using Akaike weights, 10.3758/bf03206482
  28. Backhaus Klaus, Erichson Bernd, Plinke Wulff, Weiber Rolf, Multivariate Analysemethoden, ISBN:9783540671466, 10.1007/978-3-662-08893-7
  29. Kuehn E. Wolfgang, Park Kwon Moo, Somlo Stefan, Bonventre Joseph V., Kidney injury molecule-1 expression in murine polycystic kidney disease, 10.1152/ajprenal.00166.2002
  30. Kuehn E. Wolfgang, Hirt Marc N., John Anne-K., Muehlenhardt Petra, Boehlke Christopher, Pütz Michael, Kramer-Zucker Albrecht G., Bashkurov Mikhail, van de Weyer Philipp S., Kotsis Fruzsina, Walz Gerd, Kidney injury molecule 1 (Kim1) is a novel ciliary molecule and interactor of polycystin 2, 10.1016/j.bbrc.2007.10.103
  31. Carone Frank A., Ozono Seiichiro, Samma Shoji, Kanwar Yashpal S., Oyasu Ryoichi, Renal functional changes in experimental cystic disease are tubular in origin, 10.1038/ki.1988.2
  32. Gattone Vincent H., Maser Robin L., Tian Chunqiao, Rosenberg Joshua M., Branden Michael G., Developmental expression of urine concentration-associated genes and their altered expression in murine infantile-type polycystic kidney disease, 10.1002/(sici)1520-6408(1999)24:3/4<309::aid-dvg14>3.0.co;2-5
  33. Ho Thien Anh, Godefroid Nathalie, Gruzon Damien, Haymann Jean-Philippe, Maréchal Céline, Wang Xueqi, Serra Andreas, Pirson Yves, Devuyst Olivier, Autosomal dominant polycystic kidney disease is associated with central and nephrogenic defects in osmoregulation, 10.1038/ki.2012.225
  34. Meijer E., Rook M., Tent H., Navis G., van der Jagt E. J., de Jong P. E., Gansevoort R. T., Early Renal Abnormalities in Autosomal Dominant Polycystic Kidney Disease, 10.2215/cjn.00360110
  35. TESCH GREG H, Review: Serum and urine biomarkers of kidney disease: A pathophysiological perspective : Biomarkers of kidney disease, 10.1111/j.1440-1797.2010.01361.x
  36. Fassett Robert G., Venuthurupalli Sree K., Gobe Glenda C., Coombes Jeff S., Cooper Matthew A., Hoy Wendy E., Biomarkers in chronic kidney disease: a review, 10.1038/ki.2011.198
  37. Roscioni S. S., de Zeeuw D., Hellemons M. E., Mischak H., Zürbig P., Bakker S. J. L., Gansevoort R. T., Reinhard H., Persson F., Lajer M., Rossing P., Heerspink H. J. Lambers, A urinary peptide biomarker set predicts worsening of albuminuria in type 2 diabetes mellitus, 10.1007/s00125-012-2755-2
  38. AB Chapman, J Am Soc Nephrol, 5, 1349 (1994)
  39. Torres Vicente E., Chapman Arlene B., Perrone Ronald D., Ty Bae K., Abebe Kaleab Z., Bost James E., Miskulin Dana C., Steinman Theodore I., Braun William E., Winklhofer Franz T., Hogan Marie C., Oskoui Frederic R., Kelleher Cass, Masoumi Amirali, Glockner James, Halin Neil J., Martin Diego R., Remer Erick, Patel Nayana, Pedrosa Ivan, Wetzel Louis H., Thompson Paul A., Miller J Philip, Meyers Catherine M., Schrier Robert W., Analysis of baseline parameters in the HALT polycystic kidney disease trials, 10.1038/ki.2011.411
  40. Parikh Chirag R., Dahl Neera K., Chapman Arlene B., Bost James E., Edelstein Charles L., Comer Diane M., Zeltner Raoul, Tian Xin, Grantham Jared J., Somlo Stefan, Evaluation of urine biomarkers of kidney injury in polycystic kidney disease, 10.1038/ki.2011.465
  41. Bolignano D., Lacquaniti A., Coppolino G., Donato V., Campo S., Fazio M. R., Nicocia G., Buemi M., Neutrophil Gelatinase-Associated Lipocalin (NGAL) and Progression of Chronic Kidney Disease, 10.2215/cjn.03530708
  42. Prajczer S., Heidenreich U., Pfaller W., Kotanko P., Lhotta K., Jennings P., Evidence for a role of uromodulin in chronic kidney disease progression, 10.1093/ndt/gfp748
  43. Olden M., Corre T., Hayward C., Toniolo D., Ulivi S., Gasparini P., Pistis G., Hwang S.-J., Bergmann S., Campbell H., Cocca M., Gandin I., Girotto G., Glaudemans B., Hastie N. D., Loffing J., Polasek O., Rampoldi L., Rudan I., Sala C., Traglia M., Vollenweider P., Vuckovic D., Youhanna S., Weber J., Wright A. F., Kutalik Z., Bochud M., Fox C. S., Devuyst O., Common Variants in UMOD Associate with Urinary Uromodulin Levels: A Meta-Analysis, 10.1681/asn.2013070781
  44. Devuyst Olivier, Thakker Rajesh V, Dent's disease, 10.1186/1750-1172-5-28
  45. Jouret F., Bernard A., Hermans C., Dom G., Terryn S., Leal T., Lebecque P., Cassiman J.-J., Scholte B. J., de Jonge H. R., Courtoy P. J., Devuyst O., Cystic Fibrosis Is Associated with a Defect in Apical Receptor-Mediated Endocytosis in Mouse and Human Kidney, 10.1681/asn.2006030269
Bibliographic reference Petzold, Katja ; Poster, Diane ; Krauer, Fabienne ; Spanaus, Katharina ; Andreisek, Gustav ; et. al. Urinary biomarkers at early ADPKD disease stage. In: PLoS One, Vol. 10, no. 4, p. e0123555 [1-15] (2015)
Permanent URL http://hdl.handle.net/2078.1/164389