Association of Urinary Biomarkers of Inflammation, Injury, and Fibrosis with Renal Function Decline: The ACCORD Trial.

BACKGROUND AND OBJECTIVES Current measures for predicting renal functional decline in patients with type 2 diabetes with preserved renal function are unsatisfactory, and multiple markers assessing various biologic axes may improve prediction. We examined the association of four biomarker-to-creatinine ratio levels (monocyte chemotactic protein-1, IL-18, kidney injury molecule-1, and YKL-40) with renal outcome. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We used a nested case-control design in the Action to Control Cardiovascular Disease Trial by matching 190 participants with ≥40% sustained eGFR decline over the 5-year follow-up period to 190 participants with ≤10% eGFR decline in a 1:1 fashion on key characteristics (age within 5 years, sex, race, baseline albumin-to-creatinine ratio within 20 μg/mg, and baseline eGFR within 10 ml/min per 1.73 m(2)), with ≤10% decline. We used a Mesoscale Multiplex Platform and measured biomarkers in baseline and 24-month specimens, and we examined biomarker associations with outcome using conditional logistic regression. RESULTS Baseline and 24-month levels of monocyte chemotactic protein-1-to-creatinine ratio levels were higher for cases versus controls. The highest quartile of baseline monocyte chemotactic protein-1-to-creatinine ratio had fivefold greater odds, and each log increment had 2.27-fold higher odds for outcome (odds ratio, 5.27; 95% confidence interval, 2.19 to 12.71 and odds ratio, 2.27; 95% confidence interval, 1.44 to 3.58, respectively). IL-18-to-creatinine ratio, kidney injury molecule-1-to-creatinine ratio, and YKL-40-to-creatinine ratio were not consistently associated with outcome. C statistic for traditional predictors of eGFR decline was 0.70, which improved significantly to 0.74 with monocyte chemotactic protein-1-to-creatinine ratio. CONCLUSIONS Urinary monocyte chemotactic protein-1-to-creatinine ratio concentrations were strongly associated with sustained renal decline in patients with type 2 diabetes with preserved renal function.

[1]  G. Heinze,et al.  Risk Prediction for Early CKD in Type 2 Diabetes. , 2015, Clinical journal of the American Society of Nephrology : CJASN.

[2]  G. Heinze,et al.  A Panel of Novel Biomarkers Representing Different Disease Pathways Improves Prediction of Renal Function Decline in Type 2 Diabetes , 2015, PloS one.

[3]  A. Piwowar,et al.  Proteins from the 18 glycosyl hydrolase family are associated with kidney dysfunction in patients with diabetes type 2 , 2015, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.

[4]  L. Cantley,et al.  Urine YKL-40 is associated with progressive acute kidney injury or death in hospitalized patients , 2014, BMC Nephrology.

[5]  J. Coresh,et al.  Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. , 2014, JAMA.

[6]  R. Vasan,et al.  Association of urinary KIM-1, L-FABP, NAG and NGAL with incident end-stage renal disease and mortality in American Indians with type 2 diabetes mellitus , 2014, Diabetologia.

[7]  R. Vasan,et al.  Analysis of a urinary biomarker panel for incident kidney disease and clinical outcomes. , 2013, Journal of the American Society of Nephrology : JASN.

[8]  J. Bouchard,et al.  Clinical value of inflammatory urinary biomarkers in overt diabetic nephropathy: a prospective study. , 2013, Diabetes research and clinical practice.

[9]  A. Garg,et al.  Performance of kidney injury molecule-1 and liver fatty acid-binding protein and combined biomarkers of AKI after cardiac surgery. , 2013, Clinical journal of the American Society of Nephrology : CJASN.

[10]  D. Koya,et al.  Diabetic nephropathy: the role of inflammation in fibroblast activation and kidney fibrosis , 2013, Front. Endocrin..

[11]  B. Kestenbaum,et al.  Kidney disease and increased mortality risk in type 2 diabetes. , 2013, Journal of the American Society of Nephrology : JASN.

[12]  L. Cantley,et al.  Chitinase-like protein Brp-39/YKL-40 modulates the renal response to ischemic injury and predicts delayed allograft function. , 2013, Journal of the American Society of Nephrology : JASN.

[13]  Mardge H. Cohen,et al.  Urinary Markers of Kidney Injury and Kidney Function Decline in HIV-Infected Women , 2012, Journal of acquired immune deficiency syndromes.

[14]  D. Siscovick,et al.  Associations of urinary levels of kidney injury molecule 1 (KIM-1) and neutrophil gelatinase-associated lipocalin (NGAL) with kidney function decline in the Multi-Ethnic Study of Atherosclerosis (MESA). , 2012, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[15]  S. Titan,et al.  Urinary MCP-1 and RBP: independent predictors of renal outcome in macroalbuminuric diabetic nephropathy. , 2012, Journal of diabetes and its complications.

[16]  A. Köttgen,et al.  Neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule 1 (KIM-1) as predictors of incident CKD stage 3: the Atherosclerosis Risk in Communities (ARIC) Study. , 2012, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[17]  T. Craven,et al.  Reversibility of Fenofibrate Therapy–Induced Renal Function Impairment in ACCORD Type 2 Diabetic Participants , 2012, Diabetes Care.

[18]  H. Parving,et al.  The effect of RAAS blockade on markers of renal tubular damage in diabetic nephropathy: u-NGAL, u-KIM1 and u-LFABP , 2012, Scandinavian journal of clinical and laboratory investigation.

[19]  M. Ezzati,et al.  National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants , 2011, The Lancet.

[20]  Patrick J Heagerty,et al.  Temporal trends in the prevalence of diabetic kidney disease in the United States. , 2011, JAMA.

[21]  R. Camilla,et al.  Urinary monocyte chemotactic protein 1: marker of renal function decline in diabetic and nondiabetic proteinuric renal disease. , 2011, Journal of nephrology.

[22]  Christopher H Schmid,et al.  Comparative performance of the CKD Epidemiology Collaboration (CKD-EPI) and the Modification of Diet in Renal Disease (MDRD) Study equations for estimating GFR levels above 60 mL/min/1.73 m2. , 2010, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[23]  E. Siew,et al.  Elevated urinary IL-18 levels at the time of ICU admission predict adverse clinical outcomes. , 2010, Clinical journal of the American Society of Nephrology : CJASN.

[24]  Michael E. Miller,et al.  ACTION TO CONTROL CARDIOVASCULAR RISK IN DIABETES STUDY GROUP. EFFECTS OF INTENSIVE GLUCOSE LOWERING IN TYPE 2 DIABETES , 2010 .

[25]  C. Schmid,et al.  A new equation to estimate glomerular filtration rate. , 2009, Annals of internal medicine.

[26]  M. Bragt,et al.  Anti-inflammatory effect of rosiglitazone is not reflected in expression of NFκB-related genes in peripheral blood mononuclear cells of patients with type 2 diabetes mellitus , 2009, BMC endocrine disorders.

[27]  M. Haneda,et al.  Upregulated IL-18 expression in type 2 diabetic subjects with nephropathy: TGF-beta1 enhanced IL-18 expression in human renal proximal tubular epithelial cells. , 2009, Diabetes research and clinical practice.

[28]  S. Schinner,et al.  Effects of Intensive Glucose Lowering in Type 2 Diabetes , 2009 .

[29]  G. Tesch MCP-1/CCL2: a new diagnostic marker and therapeutic target for progressive renal injury in diabetic nephropathy. , 2008, American journal of physiology. Renal physiology.

[30]  H. Okamoto,et al.  Inhibition of MCP-1/CCR2 pathway ameliorates the development of diabetic nephropathy. , 2007, Biochemical and biophysical research communications.

[31]  T. Imaizumi,et al.  Telmisartan, an Angiotensin II Type 1 Receptor Blocker, Inhibits Advanced Glycation End-product (AGE)-induced Monocyte Chemoattractant Protein-1 Expression in Mesangial Cells through Downregulation of Receptor for AGEs via Peroxisome Proliferator-activated Receptor-γ Activation , 2007 .

[32]  J. Hughes,et al.  Inflammatory cells in renal injury and repair. , 2007, Seminars in nephrology.

[33]  B. Jaber,et al.  Urinary N-acetyl-beta-(D)-glucosaminidase activity and kidney injury molecule-1 level are associated with adverse outcomes in acute renal failure. , 2007, Journal of the American Society of Nephrology : JASN.

[34]  K. Isshiki,et al.  Factors associated with frequent remission of microalbuminuria in patients with type 2 diabetes. , 2005, Diabetes.

[35]  C. Edelstein,et al.  Caspases as drug targets in ischemic organ injury. , 2005, Current drug targets. Immune, endocrine and metabolic disorders.

[36]  C. Edelstein,et al.  Urinary interleukin-18 is a marker of human acute tubular necrosis. , 2004, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[37]  G. Eknoyan,et al.  National Kidney Foundation Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification , 2003, Annals of Internal Medicine.

[38]  Y. Hattori,et al.  Possible relationship of monocyte chemoattractant protein-1 with diabetic nephropathy. , 2000, Kidney international.

[39]  G. Pacini,et al.  Course of renal function in type 2 diabetic patients with abnormalities of albumin excretion rate. , 2000, Diabetes.

[40]  Jae-Kyung Park,et al.  A High Glucose Concentration Stimulates the Expression of Monocyte Chemotactic Peptide 1 in Human Mesangial Cells , 1998, Nephron.

[41]  B. Rovin,et al.  Glomerular expression of monocyte chemoattractant protein-1 in experimental and human glomerulonephritis. , 1994, Laboratory investigation; a journal of technical methods and pathology.