[1. Vasan RS. Biomarkers of cardiovascular disease: molecular basis and practical considerations. Circulation. 2006; 113: 2335–6210.1161/CIRCULATIONAHA.104.48257016702488]Search in Google Scholar
[2. Biomarkers Definitions Working Group. Bio-markers and surrogate endpoints: preferred definitions and conceptual framework. Clin. Pharmacol. Ther. 2001; 69: 89–9510.1067/mcp.2001.11398911240971]Search in Google Scholar
[3. Coresh J, Selvin E, Stevens LA et al. Prevalence of chronic kidney disease in the United States. JAMA. 2007; 298(17): 2038–4710.1001/jama.298.17.203817986697]Search in Google Scholar
[4. Goodsaid FM, Blank M, Dieterle F et al. Novel biomarkers of acute kidney toxicity. Clin Pharmacol Ther. 2009; 86(5): 490–6.10.1038/clpt.2009.14919710639]Search in Google Scholar
[5. Goumenos DS, Tsamandas AC, Oldroyd S et al. Transforming growth factor-beta (1) and myofibroblasts: a potential pathway towards renal scarring in human glomerular disease. Nephron. 2001; 87(3): 240–8.10.1159/00004592111287759]Search in Google Scholar
[6. Goumenos DS, Kalliakmani P, Tsakas S, Papachristou E, Vlachojannis JG. Growth factors and apoptosis-related protein expression in human crescentic nephritis. Med Sci Monit. 2008; 14: 243–48.]Search in Google Scholar
[7. Papasotiriou M, Kalliakmani P, Huang L et al. Does treatment with corticosteroids and cyclosporine reduce transglutaminase type 2 expression in the renal tissue of patients with membranous nephropathy? Nephron Clin Pract. 2012; 121: 60–7.10.1159/000341116]Search in Google Scholar
[8. Goumenos DS, Brown CB, Shortland J, el Nahas AM. (1994) Myofibroblasts, predictors of progression of mesangial IgA nephropathy? Nephrol. Dial. Transplant. 1994; 9: 1418–25.]Search in Google Scholar
[9. Ichimura T, Bonventre JV, Bailly V et al. Kidney injury molecule-1 (KIM-1), a putative epithelial cell adhesion molecule containing a novel immunoglobulin domain, is up-regulated in renal cells after injury. J. Biol. Chem. 1998; 273: 4135–42.10.1074/jbc.273.7.4135]Search in Google Scholar
[10. Ismail O, Zhang X, Bonventre JV, Gunaratnam L. G protein α12 (Gα12) is a negative regulator of kidney injury molecule-1-mediated efferocytosis. Am. J. Phys. Renal Phys. 2016; 310: 607–2010.1152/ajprenal.00169.2015497189326697979]Search in Google Scholar
[11. Yin C, Wang N. Kidney injury molecule-1 in kidney disease, Ren. Fail. 2016; 38: 1567–73.10.1080/0886022X.2016.119381627758121]Search in Google Scholar
[12. Zhang Z, Humphreys BD, Bonventre JV. Shedding of the urinary biomarker kidney injury molecule-1 (KIM-1) is regulated by MAP kinases and juxtamembrane region. J. Am. Soc. Nephrol. 2007; 18: 2704–14.10.1681/ASN.2007030325]Search in Google Scholar
[13. Prozialeck WC, Vaidya VS, Liu J et al. Kidney injury molecule-1 is an early biomarker of cadmium nephrotoxicity. Kidney Int. 2007; 72: 985–93.10.1038/sj.ki.5002467274760517687258]Search in Google Scholar
[14. Lim AI, Chan LY, Lai KN et al. Distinct role of matrix metalloproteinase-3 in kidney injury molecule-1 shedding by kidney proximal tubular epithelial cells. Int. J. Biochem. Cell Biol. 2012; 44: 1040–50.10.1016/j.biocel.2012.03.015]Search in Google Scholar
[15. Bailly V, Zhang Z, Meier W et al. Shedding of kidney injury molecule-1, a putative adhesion protein involved in renal regeneration. J. Biol. Chem. 2002; 277: 39739–48.10.1074/jbc.M200562200]Search in Google Scholar
[16. Lim AI, Tang SC, Lai KN, Leung JC. Kidney injury molecule-1: more than just an injury marker of tubular epithelial cells? J. Cell. Physiol. 2013; 228: 917–24.10.1002/jcp.24267]Search in Google Scholar
[17. Han WK, Bailly V, Abichandani R et al. Kidney Injury Molecule-1 (KIM-1): a novel biomarker for human renal proximal tubule injury. Kidney Int. 2002; 62: 237–44.10.1046/j.1523-1755.2002.00433.x12081583]Search in Google Scholar
[18. Ichimura T, Hung CC, Yang SA et al. Kidney injury molecule-1: a tissue and urinary biomarker for nephrotoxicant-induced renal injury. Am. J. Phys. Renal Phys. 2004; 286: 552–63.10.1152/ajprenal.00285.200214600030]Search in Google Scholar
[19. Bonventre JV, Yang L. Kidney injury molecule-1. Curr. Opin. Crit. Care. 2010; 16: 556–61.10.1097/MCC.0b013e32834008d3]Search in Google Scholar
[20. Vaidya VS, Ozer JS, Dieterle F et al. Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies. Nat. Biotechnol. 2010; 28: 478–85.10.1038/nbt.1623]Search in Google Scholar
[21. van Timmeren MM, van den Heuvel MC, Bailly V, Bakker SJ, van Goor H, Stegeman CA. Tubular kidney injury molecule-1 (KIM-1) in human renal disease. J. Pathol. 2007; 212: 209–17.10.1002/path.217517471468]Search in Google Scholar
[22. Schröppel B, Krueger B, Walsh L et al. Tubular expression of KIM-1 does not predict delayed function after transplantation. J. Am. Soc. Nephrol. 2010; 21: 536–42.10.1681/ASN.2009040390]Search in Google Scholar
[23. Wasung ME, Chawla LS, Madero M. Biomarkers of renal function, which and when? Clin. Chim. Acta. 2015; 438: 350–57.10.1016/j.cca.2014.08.039]Search in Google Scholar
[24. De Silva PMCS, Mohammed Abdul KS, Eakanayake EM et al. Urinary biomarkers KIM-1 and NGAL for detection of chronic kidney disease of uncertain etiology (CKDu) among agricultural communities in Sri Lanka. PLoS Negl. Trop. Dis. 2016;10:e000497910.1371/journal.pntd.0004979502805227643785]Search in Google Scholar
[25. Castillo-Rodriguez E, Fernandez-Prado R, Martin-Cleary C et al. Kidney injury marker 1 and neutrophil gelatinase associated lipocalin in chronic kidney disease. Nephron. 2017; 136: 263–67.10.1159/00044764927771693]Search in Google Scholar
[26. Nasioudis D, Witkin SS: Neutrophil gelatinase-associated lipocalin and innate immune responses to bacterial infections. Med Microbiol Immunol. 2015; 204: 471–79.10.1007/s00430-015-0394-125716557]Search in Google Scholar
[27. Kuncio, G.S.; Neilson, E.G.; Haverty, T. Mechanisms of tubulointerstitial fibrosis. Kidney Int. 1991; 39: 550–56.10.1038/ki.1991.632062038]Search in Google Scholar
[28. Viau A, Karoui KE, Laouari D et al. Lipocalin 2 is essential for chronic kidney disease in mice and human. J. Clin. Investig. 2010; 120: 4065–76.10.1172/JCI42004]Search in Google Scholar
[29. Dubin RF, Judd S, Scherzer R et al. Urinary Tubular Injury Biomarkers Are Associated With ESRD and Death in the REGARDS Study. Kidney Int Rep. 2018; 3(5): 1183–92.10.1016/j.ekir.2018.05.013612745030197985]Search in Google Scholar
[30. Seibert FS, Sitz M, Passfall J et al. Prognostic Value of Urinary Calprotectin, NGAL and KIM-1. Chronic Kidney Disease. Kidney Blood Press Res. 2018; 43(4): 1255–62.10.1159/00049240730078006]Search in Google Scholar
[31. Ding Y, Nie LM, Pang Y et al. Composite urinary biomarkers to predict pathological tubulointerstitial lesions in lupus nephritis. Lupus. 2018; 27(11): 1778–89.10.1177/096120331878816730020021]Search in Google Scholar
[32. Alderson HV, Ritchie JP, Pagano S et al. The Associations of Blood Kidney Injury Molecule-1 and Neutrophil Gelatinase–Associated Lipocalin with Progression from CKD to ESRD. Clin J Am Soc Nephrol. 2016; 11(12): 2141–49.10.2215/CJN.02670316514206127852662]Search in Google Scholar
[33. De Carvalho JA, Tatsch E, Hausen BS et al. Urinary kidney injury molecule-1 and neutrophil gelatinase-associated lipocalin as indicators of tubular damage in normoalbuminuric patients with type 2 diabetes. Clinical Biochemistry. 2016; 49(3): 232–36.10.1016/j.clinbiochem.2015.10.01626519090]Search in Google Scholar
[34. Satirapoj B, Aramsaowapak K, Tangwonglert T, Supasyndh O. Novel tubular biomarkers predict renal progression in type 2 diabetes mellitus: a prospective cohort study. J Diabetes Res. 2016; 2016: 3102962.10.1155/2016/3102962]Search in Google Scholar
[35. Nielsen SE, Reinhard H, Zdunek D et al. Tubular markers are associated with decline in kidney function in proteinuric type 2 diabetic patients. Diabetes Res Clin Pract. 2012; 97(1): 71–6.10.1016/j.diabres.2012.02.007]Search in Google Scholar
[36. Panduru NM, Sandholm N, Forsblom C et al. Kidney injury molecule-1 and the loss of kidney function in diabetic nephropathy: a likely causal link in patients with type 1 diabetes. Diabetes Care. 2015; 38(6): 1130–37.10.2337/dc14-2330]Search in Google Scholar
[37. Smith ER, Lee D, Cai M et al. Urinary neutro-phil gelatinase-associated lipocalin may aid prediction of renal decline in patients with non-proteinuric stages 3 and 4 chronic kidney disease. Nephrol Dial Transplant. 2013; 28: 1569–79.10.1093/ndt/gfs586]Search in Google Scholar
[38. Bolignano D, Lacquaniti A, Coppolino G et al. Neutrophil gelatinase-associated lipocalin (NGAL) and progression of chronic kidney disease. Clin J Am Soc Nephrol. 2009; 4: 337–44.10.2215/CJN.03530708]Search in Google Scholar
[39. Mitsnefes MM, Kathman TS, Mishra J et al. Serum neutrophil gelatinase-associated lipocalin as a marker of renal function in children with chronic kidney disease. Pediatr Nephrol. 2007; 22(1): 101–8.10.1007/s00467-006-0244-x]Search in Google Scholar
[40. Cochran BH, Reffel AC, Stiles CD. Molecular cloning of gene sequences regulated by platelet-derived growth factor. Cell. 1983; 33: 939–4710.1016/0092-8674(83)90037-5]Search in Google Scholar
[41. Van Coillie E, Van Damme J, Opdenakker G. The MCP/eotaxin subfamily of CC chemokines. Cytokine Growth Factor Rev. 1999; 10: 61–86.10.1016/S1359-6101(99)00005-2]Search in Google Scholar
[42. Cushing SD, Berliner JA, Valente AJ et al. Minimally modified low density lipoprotein induces monocyte chemotactic protein 1 in human endothelial cells and smooth muscle cells. Proc Natl Acad Sci USA. 1990; 87: 5134–38.10.1073/pnas.87.13.5134]Search in Google Scholar
[43. Leonard EJ, Yoshimura T. Human monocyte chemoattractant protein-1 (MCP-1). Immunol Today. 1990; 11: 97–101.10.1016/0167-5699(90)90035-8]Search in Google Scholar
[44. Morii T, Fujita H, Narita T et al. Increased urinary excretion of monocyte chemoattractant protein-1 in proteinuric renal diseases. Ren Fail. 2003; 25(3): 439–44.10.1081/JDI-120021156]Search in Google Scholar
[45. Segarra-Medrano A, Carnicer-Caceres C, Valtierra-Carmeno N et al. Value of urinary levels of interleukin-6, epidermal growth factor, monocyte chemoattractant protein type1 and transforming growth factor β1 in predicting the extent of fibrosis lesions in kidney biopsies of patients with IgA nephropathy. Nefrologia. 2017; 37(5): 531–38.10.1016/j.nefro.2016.11.01728946966]Search in Google Scholar
[46. Worawichawong S, Worawichawong S, Radinahamed P et al. Urine Epidermal Growth Factor, Monocyte Chemoattractant Protein-1 or their Ratio as Biomarkers for Interstitial Fibrosis and Tubular Atrophy in Primary Glomerulonephritis. Kidney Blood Press Res. 2016; 41(6): 997–1007.10.1159/00045259527988512]Search in Google Scholar
[47. Dantas M, Romão EA, Costa RS et al. Urinary excretion of monocyte chemoattractant protein-1: a biomarker of active tubulointerstitial damage in patients with glomerulopathies. Kidney Blood Press Res. 2007; 30(5): 306–13.10.1159/00010780617804911]Search in Google Scholar
[48. Wang X, Lieske JC, Alexander MP et al. Tubulointerstitial fibrosis of living donor kidneys associates with urinary monocyte chemoattractant protein. Am J Nephrol. 2016; 43(6): 454–59.10.1159/000446851493694027288357]Search in Google Scholar
[49. Ho J, Rush DN, Gibson IW et al. Early urinary CCL2 is associated with the later development of interstitial fibrosis and tubular atrophy in renal allografts. Transplantation. 2010; 90(4): 394–400.10.1097/TP.0b013e3181e6424d20625355]Search in Google Scholar
[50. Ho J, Wiebe C, Gibson IW et al. Elevated Urinary CCL2: Cr at 6 months is associated with renal allograft interstitial fibrosis and inflammation at 24 months. Transplantation. 2014; 98(1): 39–4610.1097/01.TP.0000442776.40295.7324646773]Search in Google Scholar
[51. de Boer IH, Gao X, Bebu I et al. Biomarkers of tubulointerstitial damage and function in type 1 diabetes. BMJ Open Diabetes Res Care. 2017; 5(1):e000461.10.1136/bmjdrc-2017-000461568755329177052]Search in Google Scholar
[52. Zeng XF, Lu DX, Li JM et al. Performance of urinary neutrophil gelatinase-associated lipocalin, clusterin, and cystatin C in predicting diabetic kidney disease and diabetic microalbuminuria: a consecutive cohort study. BMC Nephrol. 2017; 18(1): 233.10.1186/s12882-017-0620-8550876328701152]Search in Google Scholar
[53. Hidaka S, Kränzlin B, Gretz N, Witzgall R. Urinary clusterin levels in the rat correlate with the severity of tubular damage and may help to differentiate between glomerular and tubular injuries. Cell and Tissue Research, 2002; 310(3): 289–96.10.1007/s00441-002-0629-512457227]Search in Google Scholar
[54. Dvergsten J, Manivel JC, Correa-Rotter R, Rosenberg ME. Expression of clusterin in human renal diseases. Kidney Int. 1994; 45(3): 828–35.10.1038/ki.1994.1098196285]Search in Google Scholar
[55. Mohamed F, Buckley NA, Pickering JW et al. Nephrotoxicity-induced proteinuria increases biomarker diagnostic thresholds in acute kidneyinjury. BMC Nephrol. 2017; 18(1): 122. doi: 10.1186/s12882-017-0532-7.10.1186/s12882-017-0532-7537971128372541]Search in Google Scholar
[56. Askenazi DJ, Koralkar R, Patil N, Halloran B, Ambalavanan N, Griffin R. Acute Kidney Injury urine biomarkers in very low-birth-weight infants. Clin J Am Soc Nephrol. 2016; 11(9): 1527–35.10.2215/CJN.13381215501249227471253]Search in Google Scholar
[57. Rouse RL, Zhang J, Stewart SR, Rosenzweig BA, Espandiari P, Sadrieh NK.. Comparative profile of commercially available urinary biomarkers in preclinical drug-induced kidney injury and recovery in rats. Kidney Int. 2011; 79(11): 1186–97.10.1038/ki.2010.46321150870]Search in Google Scholar
[58. Cho Y, Johnson DW, Vesey DA, Hawley CM, Clarke M, Topley N; balANZ Trial Investigators. Utility of urinary biomarkers in predicting loss of residual renal function: The balANZ Trial. Perit Dial Int. 2015; 35(2): 159–71.10.3747/pdi.2013.00170440631124711637]Search in Google Scholar
[59. Singhal MK, Bhaskaran S, Vidgen E, Bargman JM, Vas SI, Oreopoulos DG. Rate of decline of residual renal function in patients on continuous peritoneal dialysis and factors affecting it. Perit Dial Int. 2000; 20(4): 429–38.10.1177/089686080002000410]Search in Google Scholar
[60. Hallan SI, Ritz E, Lydersen S, Romundstad S, Kvenild K, Orth SR. Combining GFR and albuminuria to classify CKD improves prediction of ESRD. J Am Soc Nephrol 2009; 20(5): 1069–77.10.1681/ASN.2008070730267803319357254]Search in Google Scholar
[61. Kim SS, Song SH, Kim JH et al. Urine clusterin/apolipoprotein J is linked to tubular damage and renal outcomes in patients with type 2 diabetes mellitus. Clin Endocrinol (Oxf). 2017; 87(2): 156–64.10.1111/cen.13360551106328434209]Search in Google Scholar
[62. Zeng XF, Lu DX, Li JM et al. Performance of urinary neutrophil gelatinase-associated lipocalin, clusterin, and cystatin C in predicting diabetic kidney disease and diabetic microalbuminuria: a consecutive cohort study. BMC Nephrol. 2017; 18(1): 233.10.1186/s12882-017-0620-8550876328701152]Search in Google Scholar
[63. Lindsey ML, Iyer RP, Jung M, DeLeon-Pennell KY, Ma Y. Matrix Metalloproteinases as input and output signals for post-myocardial infarction remodeling. J Mol Cell Cardiol. 2016; 91: 134–40.10.1016/j.yjmcc.2015.12.018476443526721597]Search in Google Scholar
[64. Tan RJ, Liu Y. Matrix metalloproteinases in kidney homeostasis and diseases. Am J Physiol Renal Physiol. 2012; 302(11): 1351–61.10.1152/ajprenal.00037.2012377449622492945]Search in Google Scholar
[65. Ke B, Fan C, Yang L, Fang X. Matrix Metalloproteinases-7 and kidney fibrosis. Front Physiol. 2017; 8: 21.10.3389/fphys.2017.00021530101328239354]Search in Google Scholar
[66. Urushihara M, Kagami S, Kuhara T, Tamaki T, Kuroda Y. Glomerular distribution and gelatinolytic activity of matrix metalloproteinases in human glomerulonephritis. Nephrol Dial Transplant. 2002; 17(7): 1189–96.10.1093/ndt/17.7.118912105240]Search in Google Scholar
[67. Erol M, Yigit O, Tasdemir M et al. Potential of serum and urinary Matrix Metalloproteinase-9 levels for the early detection of renal involvement in children with Henoch-Schönlein Purpura. Iran J Pediatr. 2016; 26(4): 6129.10.5812/ijp.6129504684227729963]Search in Google Scholar
[68. Musiał K, Bargenda A, Zwolińska D. Urine matrix metalloproteinases and their extracellular inducer EMMPRIN in children with chronic kidney disease. Ren Fail. 2015; 37(6): 980–4.10.3109/0886022X.2015.104071525945606]Search in Google Scholar
[69. van der Zijl NJ, Hanemaaijer R, Tushuizen ME et al. Urinary matrix metalloproteinase-8 and -9 activities in type 2 diabetic subjects: A marker of incipient diabetic nephropathy? Clin Biochem. 2010; 43(7-8): 635–9.10.1016/j.clinbiochem.2010.02.00620184870]Search in Google Scholar
[70. Sanders JS, Huitema MG, Hanemaaijer R, van Goor H, Kallenberg CG, Stegeman CA. Urinary matrix metalloproteinases reflect renal damage in anti-neutrophil cytoplasm autoantibody-associated vasculitis. Am J Physiol Renal Physiol. 2007; 293(6): 1927–34.10.1152/ajprenal.00310.200717898039]Search in Google Scholar
[71. Korzeniecka-Kozerska A, Wasilewska A, Tenderenda E, Sulik A, Cybulski K. Urinary MMP-9/NGAL ratio as a potential marker of FSGS in nephrotic children. Dis Markers. 2013; 34(5): 357–62.10.1155/2013/623196]Search in Google Scholar
[72. Hultström M, Leh S, Skogstrand T, Iversen BM. Upregulation of tissue inhibitor of metallopro-teases-1 (TIMP-1) and procollagen-N-peptidase in hypertension-induced renal damage. Nephrol Dial Transplant. 2008; 23(3): 896–903.10.1093/ndt/gfm71017977875]Search in Google Scholar
[73. Catania JM, Chen G, Parrish AR. Role of matrix metalloproteinases in renal pathophysiologies. Am J Physiol Renal Physiol. 2007; 292(3): 9 05–11.10.1152/ajprenal.00421.200617190907]Search in Google Scholar
[74. Duymelinck C, Dauwe SE, De Greef KE, Ysebaert DK, Verpooten GA, De Broe ME. TIMP-1 gene expression and PAI-1 antigen after unilateral ureteral obstruction in the adult male rat. Kidney Int. 2000; 58(3): 1186–201.10.1046/j.1523-1755.2000.00274.x10972681]Search in Google Scholar
[75. Han SY, Jee YH, Han KH et al. An imbalance between matrix metalloproteinase-2 and tissue inhibitor of matrix metalloproteinase-2 contributes to the development of early diabetic nephropathy. Nephrol Dial Transplant. 2006; 21(9): 2406–16.10.1093/ndt/gfl23816728425]Search in Google Scholar
[76. Kwiatkowska E, Domanski L, Bober J et al. Urinary Metalloproteinases-9 and -2 and Their Inhibitors TIMP-1 and TIMP-2 are Markers of Early and Long-Term Graft Function After Renal Transplantation. Kidney Blood Press Res. 2016; 41(3): 288–97.10.1159/00044343127160811]Search in Google Scholar
[77. Vanden Heuvel GB, Abrahamson DR. Quantitation and localization of laminin A, B1, and B2 chain RNA transcripts in developing kidney. Am J Physiol. 1993; 265(2 Pt 2): 293–9.10.1152/ajprenal.1993.265.2.F2938368338]Search in Google Scholar
[78. Hörstrup JH, Gehrmann M, Schneider B et al. Elevation of serum and urine levels of TIMP-1 and tenascin in patients with renal disease. Nephrol Dial Transplant. 2002; 17(6): 1005–13.10.1093/ndt/17.6.100512032189]Search in Google Scholar
[79. Bieniaś B, Sikora P. Urinary metalloproteinases and tissue inhibitors of metalloproteinases as potential early biomarkers for renal fibrosis in children with nephrotic syndrome. Medicine (Baltimore). 2018; 97(8): e9964.10.1097/MD.0000000000009964584196129465592]Search in Google Scholar
[80. Kanauchi M, Nishioka H, Nakashima Y, Hashimoto T, Dohi K. Role of tissue inhibitors of metalloproteinase in diabetic nephropathy. Nihon Jinzo Gakkai Shi. 1996; 38(3): 124–8.]Search in Google Scholar
[81. Li L, Shen Y, Ding Y, Liu Y, Su D, Liang X. Hrd1 participates in the regulation of collagen I synthesis in renal fibrosis. Mol Cell Biochem. 2014; 386(1–2): 35–44.10.1007/s11010-013-1843-z24114659]Search in Google Scholar
[82. Myllyharju J, Kivirikko KI. Collagens, modifying enzymes and their mutations in humans, flies and worms. Trends Genet. 2004; 20(1): 33–43.10.1016/j.tig.2003.11.00414698617]Search in Google Scholar
[83. Cheng HF, Wang JL, Zhang MZ, McKanna JA, Harris RC. Nitric oxide regulates renal cortical cyclooxygenase-2 expression. Am J Physiol Renal Physiol. 2000; 279(1): 122–9.10.1152/ajprenal.2000.279.1.F12210894794]Search in Google Scholar
[84. Tharaux PL, Chatziantoniou C, Casellas D, Fouassier L, Ardaillou R, Dussaule JC. Vascular endothelin-1 gene expression and synthesis and effect on renal type I collagen synthesis and nephroangiosclerosis during nitric oxide synthase inhibition in rats. Circulation. 1999; 99(16): 2185–91.10.1161/01.CIR.99.16.218510217661]Search in Google Scholar
[85. Nast CC, Adler SG, Artishevsky A, Kresser CT, Ahmed K, Anderson PS. Cyclosporine induces elevated procollagen alpha 1 (I) mRNA levels in the rat renal cortex. Kidney Int. 1991; 39(4): 631–8.10.1038/ki.1991.752051720]Search in Google Scholar
[86. Wolf G, Killen PD, Neilson EG. Cyclosporin A stimulates transcription and procollagen secretion in tubulointerstitial fibroblasts and proximal tubular cells. J Am Soc Nephrol. 1990; 1(6): 918–22.10.1681/ASN.V169182103851]Search in Google Scholar
[87. Hultström M, Leh S, Skogstrand T, Iversen BM. Upregulation of tissue inhibitor of metallopro-teases-1 (TIMP-1) and procollagen-N-peptidase in hypertension-induced renal damage. Nephrol Dial Transplant. 2008; 23(3): 896–903.10.1093/ndt/gfm71017977875]Search in Google Scholar
[88. Park M, Katz R, Shlipak MG et al. Urinary markers of fibrosis and risk of cardiovascular events and death in kidney transplant recipients: The FAVORIT Trial. Am J Transplant. 2017; 17(10): 2640–49.10.1111/ajt.14284562010928371433]Search in Google Scholar
[89. Wada T, Nangaku M. A circulating permeability factor in focal segmental glomerulosclerosis: the hunt continues. Clin Kidney J. 2015; 8(6): 708–15.10.1093/ckj/sfv090465579626613029]Search in Google Scholar
[90. Wei C, Trachtman H, Li J et al.. Circulating suPAR in two cohorts of primary FSGS. J Am Soc Nephrol. 2012; 23(12): 2051–9.10.1681/ASN.2012030302350736123138488]Search in Google Scholar
[91. Hayek SS, Sever S, Ko YA et al. Soluble urokinase receptor and chronic kidney disease. N Engl J Med. 2015; 373(20): 1916–25.10.1056/NEJMoa1506362470103626539835]Search in Google Scholar
[92. Hayek SS, Koh KH, Grams ME et al. A tripartite complex of suPAR, APOL1 risk variants and αvβ3 integrin on podocytes mediates chronic kidney disease. Nat Med. 2017; 23(8): 945–53.10.1038/nm.4362601932628650456]Search in Google Scholar
[93. Hayek SS, Ko YA, Awad M et al. Cardiovascular disease biomarkers and suPAR in predicting decline in renal function: A Prospective Cohort Study. Kidney Int Rep. 2017; 2(3): 425–32.10.1016/j.ekir.2017.02.001567867429142970]Search in Google Scholar
[94. Zhao Y, Liu L, Huang J et al. Plasma soluble urokinase receptor level is correlated with podocytes damage in patients with IgA nephropathy. PLoS One. 2015; 10(7): e013286910.1371/journal.pone.0132869450056026167688]Search in Google Scholar
[95. Lv L, Wang F, Wu L et al. Soluble urokinase-type plasminogen activator receptor and incident end-stage renal disease in Chinese patients with chronic kidney disease. Nephrol Dial Transplant. 2018 Aug 13. doi: 10.1093/ndt/gfy265.10.1093/ndt/gfy26530124995]Search in Google Scholar
[96. Theilade S, Lyngbaek S, Hansen TW et al. Soluble urokinase plasminogen activator receptor levels are elevated and associated with complications in patients with type 1 diabetes. J Intern Med. 2015; 277(3): 362–71.10.1111/joim.1226924830873]Search in Google Scholar
[97. Good DM, Zürbig P, Argiles A et al. Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. Mol Cell Proteomics. 2010; 9(11): 2424–37.10.1074/mcp.M110.001917298424120616184]Search in Google Scholar
[98. Pejchinovski M., Mischak H. Clinical proteomics in kidney disease: from discovery to clinical application. Prilozi. 2017; 38(3): 39–54.10.2478/prilozi-2018-000529668468]Search in Google Scholar
[99. Zürbig P, Jerums G, Hovind P et al. Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy. Diabetes. 2012; 61(12): 3304–13.10.2337/db12-0348350187822872235]Search in Google Scholar
[100. Roscioni SS, de ZD, Hellemons ME et al. A urinary peptide biomarker set predicts worsening of albuminuria in type 2 diabetes mellitus. Diabetologia. 2012; 56(2): 259–67.10.1007/s00125-012-2755-223086559]Search in Google Scholar
[101. Argiles A, Siwy J, Duranton F et al. CKD273, a New Proteomics Classifier Assessing CKD and Its Prognosis. PLoS One. 2013; 8(5): e6283710.1371/journal.pone.0062837365390623690958]Search in Google Scholar
[102. Pontillo C, Jacobs L, Staessen JA et al. A Urinary proteome-based Classifier for the early Detection of Decline in Glomerular Filtration. Nephrol Dial Transplant. 2017; 32(9): 1510–16.]Search in Google Scholar
[103. Kramer H, Boucher RE, Leehey D et al. Increasing mortality in adults with diabetes and low estimated glomerular filtration rate in the absence of albuminuria. Diabetes Care. 2018; 41(4): 775–81.10.2337/dc17-1954586084629436384]Search in Google Scholar
[104. Zürbig P, Mischak H, Menne J, Haller H. CKD273 enables efficient prediction of diabetic nephropathy in nonalbuminuric patients. Diabetes Care. 2019; 42(1): e4-e5. doi: 10.2337/dc18-1322.10.2337/dc18-132230455331]Search in Google Scholar