Gregg, E. W. et al. Changes in diabetes-related complications in the United States, 1990-2010. N. Engl. J. Med. 370, 1514–1523 (2014).
Macisaac, R. J., Ekinci, E. I. & Jerums, G. Markers of and risk factors for the development and progression of diabetic kidney disease. Am. J. Kidney. Dis. 63, S39–S62 (2014).
Pichler, R., Afkarian, M., Dieter, B. P. & Tuttle, K. R. Immunity and inflammation in diabetic kidney disease: translating mechanisms to biomarkers and treatment targets. Am. J. Physiol. Renal Physiol. 312, F716–F731 (2017).
Niewczas, M. A. et al. Circulating TNF receptors 1 and 2 predict ESRD in type 2 diabetes. J. Am. Soc. Nephrol. 23, 507–515 (2012).
Skupien, J. et al. Synergism between circulating tumor necrosis factor receptor 2 and HbA(1c) in determining renal decline during 5-18 years of follow-up in patients with type 1 diabetes and proteinuria. Diabetes Care 37, 2601–2608 (2014).
Gohda, T. et al. Circulating TNF receptors 1 and 2 predict stage 3 CKD in type 1 diabetes. J. Am. Soc. Nephrol. 23, 516–524 (2012).
Pavkov, M. E. et al. Elevation of circulating TNF receptors 1 and 2 increases the risk of end-stage renal disease in American Indians with type 2 diabetes. Kidney Int. 87, 812–819 (2015).
Forsblom, C. et al. Added value of soluble tumor necrosis factor-alpha receptor 1 as a biomarker of ESRD risk in patients with type 1 diabetes. Diabetes Care 37, 2334–2342 (2014).
Saulnier, P. J. et al. Association of serum concentration of TNFR1 with all-cause mortality in patients with type 2 diabetes and chronic kidney disease: follow-up of the SURDIAGENE Cohort. Diabetes Care 37, 1425–1431 (2014).
Coca, S. G. et al. Plasma biomarkers and kidney function decline in early and established diabetic kidney disease. J. Am. Soc. Nephrol. 28, 2786–2793 (2017).
Barr, E. L. M. et al. High baseline levels of tumor necrosis factor receptor 1 are associated with progression of kidney disease in indigenous Australians with diabetes: the eGFR follow-up study. Diabetes Care 41, 739–747 (2018).
Yamanouchi, M. et al. Improved clinical trial enrollment criterion to identify patients with diabetes at risk of end-stage renal disease. Kidney Int. 92, 258–266 (2017).
Gold, L. et al. Aptamer-based multiplexed proteomic technology for biomarker discovery. PLoS ONE 5, e15004 (2010).
Tuerk, C. & Gold, L. Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase. Science 249, 505–510 (1990).
Krolewski, A. S. Progressive renal decline: the new paradigm of diabetic nephropathy in type 1 diabetes. Diabetes Care 38, 954–962 (2015).
Nelson, R. G. et al. Development and progression of renal disease in Pima Indians with non-insulin-dependent diabetes mellitus. diabetic renal disease study group. N. Engl. J. Med. 335, 1636–1642 (1996).
Nair, V. et al. A molecular morphometric approach to diabetic kidney disease can link structure to function and outcome. Kidney Int. 93, 439–449 (2018).
Saito, R. et al. Systems biology analysis reveals role of MDM2 in diabetic nephropathy. JCI Insight 1, e87877 (2016).
Beckerman, P. et al. Human kidney tubule-specific gene expression based dissection of chronic kidney disease traits. EBioMedicine 24, 267–276 (2017).
Bossen, C. et al. Interactions of tumor necrosis factor (TNF) and TNF receptor family members in the mouse and human. J. Biol. Chem. 281, 13964–13971 (2006).
Kanehisa, M. et al. Data, information, knowledge and principle: back to metabolism in KEGG. Nucleic Acids Res. 42, D199–D205 (2014).
Locksley, R. M., Killeen, N. & Lenardo, M. J. The TNF and TNF receptor superfamilies: integrating mammalian biology. Cell 104, 487–501 (2001).
Tanamas, S. K. et al. Long-term effect of losartan on kidney disease in American Indians with type 2 diabetes: a follow-up analysis of a randomized clinical trial. Diabetes Care 39, 2004–2010 (2016).
Tuttle, K. R. et al. JAK1/JAK2 inhibition by baricitinib in diabetic kidney disease: results from a Phase 2 randomized controlled clinical trial. Nephrol. Dial. Transplant. 33, 1950–1959 (2018).
Gohda, T. et al. Clinical predictive biomarkers for normoalbuminuric diabetic kidney disease. Diabetes Res. Clin. Pract. 141, 62–68 (2018).
Al-Lamki, R. S. & Mayadas, T. N. TNF receptors: signaling pathways and contribution to renal dysfunction. Kidney Int. 87, 281–296 (2015).
Cui, C. Y. & Schlessinger, D. EDA signaling and skin appendage development. Cell Cycle 5, 2477–2483 (2006).
Sica, G. L. et al. RELT, a new member of the tumor necrosis factor receptor superfamily, is selectively expressed in hematopoietic tissues and activates transcription factor NF-kappaB. Blood 97, 2702–2707 (2001).
Tam, S. J. et al. Death receptors DR6 and TROY regulate brain vascular development. Dev. Cell 22, 403–417 (2012).
McInnes, I. B. & Gracie, J. A. Interleukin-15: a new cytokine target for the treatment of inflammatory diseases. Curr. Opin. Pharmacol. 4, 392–397 (2004).
Araki, S. et al. Predictive impact of elevated serum level of IL-18 for early renal dysfunction in type 2 diabetes: an observational follow-up study. Diabetologia 50, 867–873 (2007).
Cortvrindt, C., Speeckaert, R., Moerman, A., Delanghe, J. R. & Speeckaert, M. M. The role of interleukin-17A in the pathogenesis of kidney diseases. Pathology 49, 247–258 (2017).
Kitching, A. R. & Holdsworth, S. R. The emergence of TH17 cells as effectors of renal injury. J. Am. Soc. Nephrol. 22, 235–238 (2011).
Tesch, G. H. MCP-1/CCL2: a new diagnostic marker and therapeutic target for progressive renal injury in diabetic nephropathy. Am. J. Physiol. Renal Physiol. 294, F697–F701 (2008).
Forssmann, U. et al. chemokines with unique biochemical properties: HCC-1/CCL14a and HCC-2/CCL15. J. Leukoc. Biol. 70, 357–366 (2001).
Schulz-Knappe, P. et al. HCC-1, a novel chemokine from human plasma. J. Exp. Med. 183, 295–299 (1996).
Sharma, K., Susztak, K. & Pennathur, S. Introduction: Systems biology of kidney disease. Semin. Nephrol. 38, 99–100 (2018).
Bohle, A. et al. The pathogenesis of chronic renal failure in diabetic nephropathy. Investigation of 488 cases of diabetic glomerulosclerosis. Pathol. Res. Pract. 187, 251–259 (1991).
Kojima, H., Kim, J. & Chan, L. Emerging roles of hematopoietic cells in the pathobiology of diabetic complications. Trends Endocrinol. Metab. 25, 178–187 (2014).
Chow, F., Ozols, E., Nikolic-Paterson, D. J., Atkins, R. C. & Tesch, G. H. Macrophages in mouse type 2 diabetic nephropathy: correlation with diabetic state and progressive renal injury. Kidney Int. 65, 116–128 (2004).
Wheelock, K. M. et al. White blood cell fractions correlate with lesions of diabetic kidney disease and predict loss of kidney function in Type 2 diabetes. Nephrol. Dial. Transplant. 32, 2145 (2017).
Omote, K. et al. Role of the TNF pathway in the progression of diabetic nephropathy in KK-A(y) mice. Am. J. Physiol. Renal Physiol. 306, F1335–F1347 (2014).
Navarro, J. F., et al. Tumor necrosis factor-α gene expression in diabetic nephropathy: relationship with urinary albumin excretion and effect of angiotensin-converting enzyme inhibition. Kidney Int. Suppl. 68, S98–S102 (2005).
Menne, J. et al. C-C motif-ligand 2 inhibition with emapticap pegol (NOX-E36) in type 2 diabetic patients with albuminuria. Nephrol. Dial. Transplant. 32, 307–315 (2017).
Navarro-Gonzalez, J. F. et al. Effect of pentoxifylline on renal function and urinary albumin excretion in patients with diabetic kidney disease: the PREDIAN trial. J. Am. Soc. Nephrol. 26, 220–229 (2015).
Moriwaki, Y. et al. Effect of TNF-alpha inhibition on urinary albumin excretion in experimental diabetic rats. Acta Diabetol. 44, 215–218 (2007).
Croft, M., Benedict, C. A. & Ware, C. F. Clinical targeting of the TNF and TNFR superfamilies. Nat. Rev. Drug. Discov. 12, 147–168 (2013).
Croft, M. & Siegel, R. M. Beyond TNF: TNF superfamily cytokines as targets for the treatment of rheumatic diseases. Nat. Rev. Rheumatol. 13, 217–233 (2017).
O’Shea, J. J., Kanno, Y. & Chan, A. C. In search of magic bullets: the golden age of immunotherapeutics. Cell 157, 227–240 (2014).
Ridker, P. M. et al. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N. Engl. J. Med. 377, 1119–1131 (2017).
Mehrotra, P. et al. IL-17 mediates neutrophil infiltration and renal fibrosis following recovery from ischemia reperfusion: compensatory role of natural killer cells in athymic rats. Am. J. Physiol. Renal Physiol. 312, F385–F397 (2017).
Anders, H. J. et al. A chemokine receptor CCR-1 antagonist reduces renal fibrosis after unilateral ureter ligation. J. Clin. Invest. 109, 251–259 (2002).
Vielhauer, V. et al. CCR1 blockade reduces interstitial inflammation and fibrosis in mice with glomerulosclerosis and nephrotic syndrome. Kidney Int. 66, 2264–2278 (2004).
Krolewski, A. S., Skupien, J., Rossing, P. & Warram, J. H. Fast renal decline to end-stage renal disease: an unrecognized feature of nephropathy in diabetes. Kidney Int. 91, 1300–1311 (2017).
Krolewski, A. S. et al. Early progressive renal decline precedes the onset of microalbuminuria and its progression to macroalbuminuria. Diabetes Care 37, 226–234 (2014).
Nowak, N. et al. Markers of early progressive renal decline in type 2 diabetes suggest different implications for etiological studies and prognostic tests development. Kidney Int. 93, 1198–1206 (2018).
Nelson, R. G. et al. Incidence of end-stage renal disease in type 2 (non-insulin-dependent) diabetes mellitus in Pima Indians. Diabetologia 31, 730–736 (1988).
Ganz, P. et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA 315, 2532–2541 (2016).
Ngo, D. et al. Aptamer-based proteomic profiling reveals novel candidate biomarkers and pathways in cardiovascular disease. Circulation 134, 270–285 (2016).
Williams, S. A. et al. Improving assessment of drug safety through proteomics: early detection and mechanistic characterization of the unforeseen harmful effects of torcetrapib. Circulation 137, 999–1010 (2018).
Assarsson, E. et al. Homogenous 96-plex PEA immunoassay exhibiting high sensitivity, specificity, and excellent scalability. PLoS ONE 9, e95192 (2014).
Gray, K. A., Yates, B., Seal, R. L., Wright, M. W. & Bruford, E. A. Genenames.org: the HGNC resources in 2015. Nucleic Acids Res. 43, D1079–D1085 (2015).
Afshinnia, F. et al. Lipidomic signature of progression of chronic kidney disease in the chronic renal insufficiency cohort. Kidney Int. Rep. 1, 256–268 (2016).
Valeri, L. & Vanderweele, T. J. Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychol. Methods 18, 137–150 (2013).