Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Trajectories of kidney function in diabetes: a clinicopathological update

Abstract

Diabetic nephropathy has been traditionally diagnosed based on persistently high albuminuria and a subsequent decline in glomerular filtration rate (GFR), which is widely recognized as the classical phenotype of diabetic kidney disease (DKD). Several studies have emphasized that trajectories of kidney function in patients with diabetes (specifically, changes in GFR and albuminuria over time) can differ from this classical DKD phenotype. Three alternative DKD phenotypes have been reported to date and are characterized by albuminuria regression, a rapid decline in GFR, or non-proteinuric or non-albuminuric DKD. Although kidney biopsies are not typically required for the diagnosis of DKD, a few studies of biopsy samples from patients with DKD have demonstrated that changes in kidney function associate with specific histopathological findings in diabetes. In addition, various clinical and biochemical parameters are related to trajectories of GFR and albuminuria. Collectively, pathological and clinical characteristics can be used to predict trajectories of GFR and albuminuria in diabetes. Furthermore, cohort studies have suggested that the risks of kidney and cardiovascular outcomes might vary among different phenotypes of DKD. A broader understanding of the clinical course of DKD is therefore crucial to improve risk stratification and enable early interventions that prevent adverse outcomes.

Key points

  • Diabetic kidney disease (DKD) is traditionally characterized by persistent high albuminuria and a subsequent decline in the glomerular filtration rate (GFR); this trajectory is widely recognized as the classical phenotype of DKD.

  • Three alternative, non-classical phenotypes of DKD have also been described, characterized by regression of albuminuria, rapid GFR decline, or the absence of proteinuria or albuminuria.

  • In diabetes, strong relationships exist between pathological kidney biopsy findings and clinical manifestations such as albuminuria and GFR decline.

  • Additional clinical parameters and treatments have been associated with trajectories of kidney function and might be used to predict DKD progression.

  • Risks of kidney and cardiovascular outcomes might also differ among phenotypes of DKD — understanding the trajectories of GFR and albuminuria is therefore important for risk stratification and early intervention.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Trajectories of kidney function in DKD.
Fig. 2: Pathological features of diabetic nephropathy.
Fig. 3: Clinicopathological factors associated with trajectories of kidney function in diabetes.

Similar content being viewed by others

References

  1. United States Renal Data System. 2019 USRDS Annual Data Report: Epidemiology of Kidney Disease in the United States (National Institute of Diabetes and Digestive and Kidney Diseases, 2019).

  2. International Diabetes Federation. IDF Diabetes Atlas 8th Edn (IDF, 2017).

  3. Kidney Disease: Improving Global Outcomes Diabetes Work Group. KDIGO 2020 clinical practice guideline for diabetes management in chronic kidney disease. Kidney Int. 98(Suppl. 4), S1–S115 (2020).

    Google Scholar 

  4. National Kidney Foundation. KDOQI clinical practice guideline for diabetes and CKD: 2012 update. Am. J. Kidney Dis. 60, 850–886 (2012).

    Article  Google Scholar 

  5. Afkarian, M. et al. Clinical manifestations of kidney disease among US adults with diabetes, 1988-2014. JAMA 316, 602–610 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Furuichi, K. et al. Nationwide multicentre kidney biopsy study of Japanese patients with type 2 diabetes. Nephrol. Dial. Transpl. 33, 138–148 (2018).

    Article  CAS  Google Scholar 

  7. Klessens, C. Q. et al. An autopsy study suggests that diabetic nephropathy is underdiagnosed. Kidney Int. 90, 149–156 (2016).

    Article  PubMed  Google Scholar 

  8. Said, S. M. & Nasr, S. H. Silent diabetic nephropathy. Kidney Int. 90, 24–26 (2016).

    Article  PubMed  Google Scholar 

  9. Mogensen, C. E., Christensen, C. K. & Vittinghus, E. The stages in diabetic renal disease. With emphasis on the stage of incipient diabetic nephropathy. Diabetes 32(Suppl. 2), 64–78 (1983).

    Article  PubMed  Google Scholar 

  10. Tonneijck, L. et al. Glomerular hyperfiltration in diabetes: mechanisms, clinical significance, and treatment. J. Am. Soc. Nephrol. 28, 1023–1039 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Coresh, J. et al. Change in albuminuria and subsequent risk of end-stage kidney disease: an individual participant-level consortium meta-analysis of observational studies. Lancet Diabetes Endocrinol. 7, 115–127 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Araki, S. et al. Factors associated with frequent remission of microalbuminuria in patients with type 2 diabetes. Diabetes 54, 2983–2987 (2005).

    Article  CAS  PubMed  Google Scholar 

  13. Gaede, P., Tarnow, L., Vedel, P., Parving, H. H. & Pedersen, O. Remission to normoalbuminuria during multifactorial treatment preserves kidney function in patients with type 2 diabetes and microalbuminuria. Nephrol. Dial. Transpl. 19, 2784–2788 (2004).

    Article  Google Scholar 

  14. Hovind, P. et al. Remission of nephrotic-range albuminuria in type 1 diabetic patients. Diabetes Care 24, 1972–1977 (2001).

    Article  CAS  PubMed  Google Scholar 

  15. Rossing, K., Christensen, P. K., Hovind, P. & Parving, H. H. Remission of nephrotic-range albuminuria reduces risk of end-stage renal disease and improves survival in type 2 diabetic patients. Diabetologia 48, 2241–2247 (2005).

    Article  CAS  PubMed  Google Scholar 

  16. Oshima, M. et al. Early change in albuminuria with canagliflozin predicts kidney and cardiovascular outcomes: a post hoc analysis from the CREDENCE Trial. J. Am. Soc. Nephrol. 31, 2925–2936 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Perkins, B. A. et al. Microalbuminuria and the risk for early progressive renal function decline in type 1 diabetes. J. Am. Soc. Nephrol. 18, 1353–1361 (2007).

    Article  CAS  PubMed  Google Scholar 

  18. Yokoyama, H. et al. Association between remission of macroalbuminuria and preservation of renal function in patients with type 2 diabetes with overt proteinuria. Diabetes Care 36, 3227–3233 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  19. de Boer, I. H. et al. Albuminuria changes and cardiovascular and renal outcomes in type 1 diabetes: The DCCT/EDIC Study. Clin. J. Am. Soc. Nephrol. 11, 1969–1977 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  20. Parving, H. H. et al. The effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetes. N. Engl. J. Med. 345, 870–878 (2001).

    Article  CAS  PubMed  Google Scholar 

  21. Brenner, B. M. et al. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N. Engl. J. Med. 345, 861–869 (2001).

    Article  CAS  PubMed  Google Scholar 

  22. Baba, M. et al. Longitudinal study of the decline in renal function in healthy subjects. PLoS One 10, e0129036 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Warren, B. et al. Diabetes and trajectories of estimated glomerular filtration rate: a prospective cohort analysis of the atherosclerosis risk in communities study. Diabetes Care 41, 1646–1653 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. 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).

    Article  PubMed  PubMed Central  Google Scholar 

  25. No Authors Listed. Chapter 2: Definition, identification, and prediction of CKD progression. Kidney Int. Suppl. 3, 63–72 (2013).

    Article  Google Scholar 

  26. Yoshida, Y. et al. Conditions, pathogenesis, and progression of diabetic kidney disease and early decliner in Japan. BMJ Open Diabetes Res. Care 8, e000902 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Furuichi, K. et al. Clinicopathological features of fast eGFR decliners among patients with diabetic nephropathy. BMJ Open Diabetes Res. Care 8, e001157 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  28. 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).

    Article  CAS  PubMed  Google Scholar 

  29. Heerspink, H. J. L. et al. Dapagliflozin in patients with chronic kidney disease. N. Engl. J. Med. 383, 1436–1446 (2020).

    Article  CAS  PubMed  Google Scholar 

  30. Kovesdy, C. P. et al. Past decline versus current eGFR and subsequent ESRD Risk. J. Am. Soc. Nephrol. 27, 2447–2455 (2016).

    Article  PubMed  Google Scholar 

  31. Turin, T. C. et al. Magnitude of rate of change in kidney function and future risk of cardiovascular events. Int. J. Cardiol. 202, 657–665 (2016).

    Article  PubMed  Google Scholar 

  32. Oshima, M. et al. The relationship between eGFR slope and subsequent risk of vascular outcomes and all-cause mortality in type 2 diabetes: the ADVANCE-ON study. Diabetologia 62, 1988–1997 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Porrini, E. et al. Non-proteinuric pathways in loss of renal function in patients with type 2 diabetes. Lancet Diabetes Endocrinol. 3, 382–391 (2015).

    Article  CAS  PubMed  Google Scholar 

  34. Kramer, H. J., Nguyen, Q. D., Curhan, G. & Hsu, C. Y. Renal insufficiency in the absence of albuminuria and retinopathy among adults with type 2 diabetes mellitus. JAMA 289, 3273–3277 (2003).

    Article  PubMed  Google Scholar 

  35. MacIsaac, R. J. et al. Nonalbuminuric renal insufficiency in type 2 diabetes. Diabetes Care 27, 195–200 (2004).

    Article  PubMed  Google Scholar 

  36. Yokoyama, H. et al. Prevalence of albuminuria and renal insufficiency and associated clinical factors in type 2 diabetes: the Japan Diabetes Clinical Data Management study (JDDM15). Nephrol. Dial. Transpl. 24, 1212–1219 (2009).

    Article  CAS  Google Scholar 

  37. Thomas, M. C. et al. Nonalbuminuric renal impairment in type 2 diabetic patients and in the general population (national evaluation of the frequency of renal impairment cO-existing with NIDDM [NEFRON] 11). Diabetes Care 32, 1497–1502 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Bash, L. D., Selvin, E., Steffes, M., Coresh, J. & Astor, B. C. Poor glycemic control in diabetes and the risk of incident chronic kidney disease even in the absence of albuminuria and retinopathy: Atherosclerosis Risk in Communities (ARIC) Study. Arch. Intern. Med. 168, 2440–2447 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Yamanouchi, M. et al. Nonproteinuric versus proteinuric phenotypes in diabetic kidney disease: a propensity score-matched analysis of a nationwide, biopsy-based cohort study. Diabetes Care 42, 891–902 (2019).

    Article  CAS  PubMed  Google Scholar 

  40. Buyadaa, O., Magliano, D. J., Salim, A., Koye, D. N. & Shaw, J. E. Risk of rapid kidney function decline, all-cause mortality, and major cardiovascular events in nonalbuminuric chronic kidney disease in type 2 diabetes. Diabetes Care 43, 122–129 (2020).

    Article  CAS  PubMed  Google Scholar 

  41. Vistisen, D. et al. Progressive decline in estimated glomerular filtration rate in patients with diabetes after moderate loss in kidney function-even without albuminuria. Diabetes Care 42, 1886–1894 (2019).

    Article  PubMed  Google Scholar 

  42. Yokoyama, H. et al. The prognosis of patients with type 2 diabetes and nonalbuminuric diabetic kidney disease is not always poor: implication of the effects of coexisting macrovascular complications (JDDM 54). Diabetes Care 43, 1102–1110 (2020).

    Article  CAS  PubMed  Google Scholar 

  43. Vistisen, D. et al. A validated prediction model for end-stage kidney disease in type 1 diabetes. Diabetes Care 44, 901–907 (2021).

    Article  PubMed  Google Scholar 

  44. Vistisen, D. et al. Prediction of first cardiovascular disease event in type 1 diabetes mellitus: the steno type 1 risk engine. Circulation 133, 1058–1066 (2016).

    Article  PubMed  Google Scholar 

  45. Wada, T. et al. Clinical impact of albuminuria and glomerular filtration rate on renal and cardiovascular events, and all-cause mortality in Japanese patients with type 2 diabetes. Clin. Exp. Nephrol. 18, 613–620 (2014).

    Article  CAS  PubMed  Google Scholar 

  46. Toyama, T. et al. The impacts of albuminuria and low eGFR on the risk of cardiovascular death, all-cause mortality, and renal events in diabetic patients: meta-analysis. PLoS One 8, e71810 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Weldegiorgis, M. et al. Longitudinal estimated GFR trajectories in patients with and without type 2 diabetes and nephropathy. Am. J. Kidney Dis. 71, 91–101 (2018).

    Article  PubMed  Google Scholar 

  48. Colombo, M. et al. Predicting renal disease progression in a large contemporary cohort with type 1 diabetes mellitus. Diabetologia 63, 636–647 (2020).

    Article  CAS  PubMed  Google Scholar 

  49. Stoilov, S. I., Fountoulakis, N., Panagiotou, A., Thomas, S. & Karalliedde, J. Non-linear renal function decline is frequent in patients with type 2 diabetes who progress fast to end-stage renal disease and is associated with African-Caribbean ethnicity and HbA1c variability. J. Diabetes Complicat. 35, 107875 (2021).

    Article  Google Scholar 

  50. Ali, I., Chinnadurai, R., Ibrahim, S. T. & Kalra, P. A. Adverse outcomes associated with rapid linear and non-linear patterns of chronic kidney disease progression. BMC Nephrol. 22, 82 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Tervaert, T. W. et al. Pathologic classification of diabetic nephropathy. J. Am. Soc. Nephrol. 21, 556–563 (2010).

    Article  PubMed  Google Scholar 

  52. Furuichi, K. et al. Clinicopathological analysis of biopsy-proven diabetic nephropathy based on the Japanese classification of diabetic nephropathy. Clin. Exp. Nephrol. 22, 570–582 (2018).

    Article  PubMed  Google Scholar 

  53. Yasuda, F. et al. Importance of frequency and morphological characteristics of nodular diabetic glomerulosclerosis in diabetic nephropathy. Hum. Pathol. 75, 95–103 (2018).

    Article  PubMed  Google Scholar 

  54. Mauer, M., Caramori, M. L., Fioretto, P. & Najafian, B. Glomerular structural-functional relationship models of diabetic nephropathy are robust in type 1 diabetic patients. Nephrol. Dial. Transpl. 30, 918–923 (2015).

    Article  CAS  Google Scholar 

  55. Toyoda, M., Najafian, B., Kim, Y., Caramori, M. L. & Mauer, M. Podocyte detachment and reduced glomerular capillary endothelial fenestration in human type 1 diabetic nephropathy. Diabetes 56, 2155–2160 (2007).

    Article  CAS  PubMed  Google Scholar 

  56. Najafian, B., Kim, Y., Crosson, J. T. & Mauer, M. Atubular glomeruli and glomerulotubular junction abnormalities in diabetic nephropathy. J. Am. Soc. Nephrol. 14, 908–917 (2003).

    Article  PubMed  Google Scholar 

  57. Fioretto, P., Caramori, M. L. & Mauer, M. The kidney in diabetes: dynamic pathways of injury and repair. The Camillo Golgi Lecture 2007. Diabetologia 51, 1347–1355 (2008).

    Article  CAS  PubMed  Google Scholar 

  58. Fufaa, G. D. et al. Structural predictors of loss of renal function in American Indians with type 2 diabetes. Clin. J. Am. Soc. Nephrol. 11, 254–261 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Moriya, T., Yamagishi, T., Matsubara, M. & Ouchi, M. Serial renal biopsies in normo- and microalbuminuric patients with type 2 diabetes demonstrate that loss of renal function is associated with a reduction in glomerular filtration surface secondary to mesangial expansion. J. Diabetes Complicat. 33, 368–373 (2019).

    Article  Google Scholar 

  60. Shimizu, M. et al. Long-term outcomes of Japanese type 2 diabetic patients with biopsy-proven diabetic nephropathy. Diabetes Care 36, 3655–3662 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Furuichi, K., Shimizu, M., Okada, H., Narita, I. & Wada, T. Clinico-pathological features of kidney disease in diabetic cases. Clin. Exp. Nephrol. 22, 1046–1051 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  62. Looker, H. C. et al. Changes in albuminuria but Not GFR are associated with early changes in kidney structure in type 2 diabetes. J. Am. Soc. Nephrol. 30, 1049–1059 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Fioretto, P., Steffes, M. W., Sutherland, D. E., Goetz, F. C. & Mauer, M. Reversal of lesions of diabetic nephropathy after pancreas transplantation. N. Engl. J. Med. 339, 69–75 (1998).

    Article  CAS  PubMed  Google Scholar 

  64. Moriya, T., Yamagishi, T., Yoshida, Y., Matsubara, M. & Ouchi, M. Arteriolar hyalinosis is related to rapid GFR decline and long-standing GFR changes observed on renal biopsies in normo-microalbuminuric type 2 diabetic patients. J. Diabetes Complicat. 35, 107847 (2021).

    Article  Google Scholar 

  65. Mise, K. et al. Clinical and pathological predictors of estimated GFR decline in patients with type 2 diabetes and overt proteinuric diabetic nephropathy. Diabetes Metab. Res. Rev. 31, 572–581 (2015).

    Article  CAS  PubMed  Google Scholar 

  66. Ekinci, E. I. et al. Renal structure in normoalbuminuric and albuminuric patients with type 2 diabetes and impaired renal function. Diabetes Care 36, 3620–3626 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Yamanouchi, M., Furuichi, K., Hoshino, J., Ubara, Y. & Wada, T. Nonproteinuric diabetic kidney disease. Clin. Exp. Nephrol. 24, 573–581 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  68. Shimizu, M. et al. Kidney lesions in diabetic patients with normoalbuminuric renal insufficiency. Clin. Exp. Nephrol. 18, 305–312 (2014).

    Article  CAS  PubMed  Google Scholar 

  69. Caramori, M. L., Fioretto, P. & Mauer, M. Low glomerular filtration rate in normoalbuminuric type 1 diabetic patients: an indicator of more advanced glomerular lesions. Diabetes 52, 1036–1040 (2003).

    Article  CAS  PubMed  Google Scholar 

  70. An, Y. et al. Renal histologic changes and the outcome in patients with diabetic nephropathy. Nephrol. Dial. Transpl. 30, 257–266 (2015).

    Article  CAS  Google Scholar 

  71. Mise, K. et al. Nodular lesions in diabetic nephropathy: collagen staining and renal prognosis. Diabetes Res. Clin. Pract. 127, 187–197 (2017).

    Article  PubMed  Google Scholar 

  72. Wada, T. et al. Nodular lesions and mesangiolysis in diabetic nephropathy. Clin. Exp. Nephrol. 17, 3–9 (2013).

    Article  PubMed  Google Scholar 

  73. Nyumura, I., Honda, K., Tanabe, K., Teraoka, S. & Iwamoto, Y. Early histologic lesions and risk factors for recurrence of diabetic kidney disease after kidney transplantation. Transplantation 94, 612–619 (2012).

    Article  PubMed  Google Scholar 

  74. Stout, L. C. & Whorton, E. B. Pathogenesis of extra efferent vessel development in diabetic glomeruli. Hum. Pathol. 38, 1167–1177 (2007).

    Article  CAS  PubMed  Google Scholar 

  75. Hoshino, J. et al. A new pathological scoring system by the Japanese classification to predict renal outcome in diabetic nephropathy. PLoS One 13, e0190923 (2018).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  76. Shimizu, M. et al. Association of renal arteriosclerosis and hypertension with renal and cardiovascular outcomes in Japanese type 2 diabetes patients with diabetic nephropathy. J. Diabetes Investig. 10, 1041–1049 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Heinzel, A. et al. Validation of plasma biomarker candidates for the prediction of eGFR decline in patients with type 2 diabetes. Diabetes Care 41, 1947–1954 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Niewczas, M. A. et al. A signature of circulating inflammatory proteins and development of end-stage renal disease in diabetes. Nat. Med. 25, 805–813 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Dunkler, D. et al. Risk prediction for early CKD in type 2 diabetes. Clin. J. Am. Soc. Nephrol. 10, 1371–1379 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  80. Zoppini, G. et al. Predictors of estimated GFR decline in patients with type 2 diabetes and preserved kidney function. Clin. J. Am. Soc. Nephrol. 7, 401–408 (2012).

    Article  CAS  PubMed  Google Scholar 

  81. Afghahi, H. et al. Risk factors for the development of albuminuria and renal impairment in type 2 diabetes — the Swedish National Diabetes Register (NDR). Nephrol. Dial. Transpl. 26, 1236–1243 (2011).

    Article  Google Scholar 

  82. Kar, D. et al. Association of smoking and cardiometabolic parameters with albuminuria in people with type 2 diabetes mellitus: a systematic review and meta-analysis. Acta Diabetol. 56, 839–850 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Korbut, A. I., Klimontov, V. V., Vinogradov, I. V. & Romanov, V. V. Risk factors and urinary biomarkers of non-albuminuric and albuminuric chronic kidney disease in patients with type 2 diabetes. World J. Diabetes 10, 517–533 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  84. 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).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  85. 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).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. 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).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  87. 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).

    Article  PubMed  PubMed Central  Google Scholar 

  88. 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).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Wong, M. G. et al. Circulating bone morphogenetic protein-7 and transforming growth factor-beta1 are better predictors of renal end points in patients with type 2 diabetes mellitus. Kidney Int. 83, 278–284 (2013).

    Article  CAS  PubMed  Google Scholar 

  90. Looker, H. C. et al. Biomarkers of rapid chronic kidney disease progression in type 2 diabetes. Kidney Int. 88, 888–896 (2015).

    Article  CAS  PubMed  Google Scholar 

  91. Oshima, M. et al. Effects of canagliflozin on anaemia in patients with type 2 diabetes and chronic kidney disease: a post-hoc analysis from the CREDENCE trial. Lancet Diabetes Endocrinol. 8, 903–914 (2020).

    Article  CAS  PubMed  Google Scholar 

  92. Fishbane, S. & Spinowitz, B. Update on anemia in ESRD and earlier stages of CKD: core curriculum 2018. Am. J. Kidney Dis. 71, 423–435 (2018).

    Article  PubMed  Google Scholar 

  93. Cravedi, P. et al. Immunosuppressive effects of erythropoietin on human alloreactive T cells. J. Am. Soc. Nephrol. 25, 2003–2015 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  94. Yasuda, H. et al. Erythropoietin signal protected human umbilical vein endothelial cells from high glucose-induced injury. Nephrology 24, 767–774 (2019).

    Article  CAS  PubMed  Google Scholar 

  95. Hara, A. et al. Autoantibodies to erythropoietin receptor in patients with immune-mediated diseases: relationship to anaemia with erythroid hypoplasia. Br. J. Haematol. 160, 244–250 (2013).

    Article  CAS  PubMed  Google Scholar 

  96. Hara, A. et al. Effect of autoantibodies to erythropoietin receptor in systemic lupus erythematosus with biopsy-proven lupus nephritis. J. Rheumatol. 43, 1328–1334 (2016).

    Article  PubMed  Google Scholar 

  97. Hara, A. et al. Clinical and pathological significance of autoantibodies to erythropoietin receptor in type 2 diabetic patients with CKD. Kidney Int. Rep. 3, 133–141 (2018).

    Article  PubMed  Google Scholar 

  98. Oshima, M. et al. Comparison of circulating biomarkers in predicting diabetic kidney disease progression with autoantibodies to erythropoietin receptor. Kidney Int. Rep. 6, 284–295 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  99. Bjornstad, P. et al. Plasma biomarkers improve prediction of diabetic kidney disease in adults with type 1 diabetes over a 12-year follow-up: CACTI study. Nephrol. Dial. Transpl. 33, 1189–1196 (2018).

    Article  CAS  Google Scholar 

  100. Mayer, G. et al. Systems biology-derived biomarkers to predict progression of renal function decline in type 2 diabetes. Diabetes Care 40, 391–397 (2017).

    Article  CAS  PubMed  Google Scholar 

  101. Tofte, N. et al. Early detection of diabetic kidney disease by urinary proteomics and subsequent intervention with spironolactone to delay progression (PRIORITY): a prospective observational study and embedded randomised placebo-controlled trial. Lancet Diabetes Endocrinol. 8, 301–312 (2020).

    Article  CAS  PubMed  Google Scholar 

  102. Peters, K. E. et al. Identification of novel circulating biomarkers predicting rapid decline in renal function in type 2 diabetes: the Fremantle diabetes study phase II. Diabetes Care 40, 1548–1555 (2017).

    Article  CAS  PubMed  Google Scholar 

  103. Colombo, M. et al. Biomarker panels associated with progression of renal disease in type 1 diabetes. Diabetologia 62, 1616–1627 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  104. Klimontov, V. V., Korbut, A. I., Orlov, N. B., Dashkin, M. V. & Konenkov, V. I. Multiplex bead array assay of a panel of circulating cytokines and growth factors in patients with albuminuric and non-albuminuricdiabetic kidney disease. J. Clin. Med. 9, 3006 (2020).

    Article  CAS  PubMed Central  Google Scholar 

  105. Petersen, K. S. et al. Paucity of high-quality studies reporting on salt and health outcomes from the science of salt: a regularly updated systematic review of salt and health outcomes (April 2017 to March 2018). J. Clin. Hypertens. 21, 307–323 (2019).

    Article  Google Scholar 

  106. Look AHEAD Research Group. Effect of a long-term behavioural weight loss intervention on nephropathy in overweight or obese adults with type 2 diabetes: a secondary analysis of the Look AHEAD randomised clinical trial. Lancet Diabetes Endocrinol. 2, 801–809 (2014).

    Article  Google Scholar 

  107. Makino, H. et al. Prevention of transition from incipient to overt nephropathy with telmisartan in patients with type 2 diabetes. Diabetes Care 30, 1577–1578 (2007).

    Article  CAS  PubMed  Google Scholar 

  108. DCCT/EDIC Research Group. et al. Intensive diabetes therapy and glomerular filtration rate in type 1 diabetes. N. Engl. J. Med. 365, 2366–2376 (2011).

    Article  CAS  Google Scholar 

  109. Perkovic, V. et al. Intensive glucose control improves kidney outcomes in patients with type 2 diabetes. Kidney Int. 83, 517–523 (2013).

    Article  CAS  PubMed  Google Scholar 

  110. Colhoun, H. M. et al. Effects of atorvastatin on kidney outcomes and cardiovascular disease in patients with diabetes: an analysis from the Collaborative Atorvastatin Diabetes Study (CARDS). Am. J. Kidney Dis. 54, 810–819 (2009).

    Article  CAS  PubMed  Google Scholar 

  111. Ansquer, J. C. et al. Fenofibrate reduces progression to microalbuminuria over 3 years in a placebo-controlled study in type 2 diabetes: results from the Diabetes Atherosclerosis Intervention Study (DAIS). Am. J. Kidney Dis. 45, 485–493 (2005).

    Article  CAS  PubMed  Google Scholar 

  112. Davis, T. M. et al. Effects of fenofibrate on renal function in patients with type 2 diabetes mellitus: the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) Study. Diabetologia 54, 280–290 (2011).

    Article  CAS  PubMed  Google Scholar 

  113. ACCORD Study Group. et al. Effects of combination lipid therapy in type 2 diabetes mellitus. N. Engl. J. Med. 362, 1563–1574 (2010).

    Article  Google Scholar 

  114. Wada, T. et al. Effects of LDL apheresis on proteinuria in patients with diabetes mellitus, severe proteinuria, and dyslipidemia. Clin. Exp. Nephrol. 25, 1–8 (2021).

    Article  CAS  PubMed  Google Scholar 

  115. Neuen, B. L. et al. SGLT2 inhibitors for the prevention of kidney failure in patients with type 2 diabetes: a systematic review and meta-analysis. Lancet Diabetes Endocrinol. 7, 845–854 (2019).

    Article  CAS  PubMed  Google Scholar 

  116. Jardine, M. J. et al. Renal, cardiovascular, and safety outcomes of canagliflozin by baseline kidney function: a secondary analysis of the CREDENCE randomized trial. J. Am. Soc. Nephrol. 31, 1128–1139 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  117. Vitale, M., Haxhi, J., Cirrito, T. & Pugliese, G. Renal protection with glucagon-like peptide-1 receptor agonists. Curr. Opin. Pharmacol. 54, 91–101 (2020).

    Article  CAS  PubMed  Google Scholar 

  118. Alicic, R. Z., Cox, E. J., Neumiller, J. J. & Tuttle, K. R. Incretin drugs in diabetic kidney disease: biological mechanisms and clinical evidence. Nat. Rev. Nephrol. 17, 227–244 (2021).

    Article  CAS  PubMed  Google Scholar 

  119. O’Hara, D. V. et al. The effects of dipeptidyl peptidase-4 inhibitors on kidney outcomes. Diabetes Obes. Metab. 23, 763–773 (2020).

    Article  PubMed  CAS  Google Scholar 

  120. Chung, E. Y. et al. Aldosterone antagonists in addition to renin angiotensin system antagonists for preventing the progression of chronic kidney disease. Cochrane Database Syst. Rev. 10, CD007004 (2020).

    PubMed  Google Scholar 

  121. Bakris, G. L. et al. Effect of finerenone on chronic kidney disease outcomes in type 2 diabetes. N. Engl. J. Med. 383, 2219–2229 (2020).

    Article  CAS  PubMed  Google Scholar 

  122. Sugahara, M. et al. Prolyl hydroxylase domain inhibitor protects against metabolic disorders and associated kidney disease in obese type 2 diabetic mice. J. Am. Soc. Nephrol. 31, 560–577 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  123. Levey, A. S. et al. The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report. Kidney Int. 80, 17–28 (2011).

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

M.O., M.S., M.Y. and T.W. researched data for the article. M.O., M.S., M.Y., T.T. and T.W. made substantial contributions to discussions of the content and wrote the manuscript. All authors reviewed or edited the manuscript before submission.

Corresponding author

Correspondence to Takashi Wada.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information

Nature Reviews Nephrology thanks M. E. Jørgensen, D. Vistisen and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Related links

Biomarker Enterprise to Attack Diabetic Kidney Disease: www.beat-dkd.eu

Kidney Precision Medicine Project: www.kpmp.org

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Oshima, M., Shimizu, M., Yamanouchi, M. et al. Trajectories of kidney function in diabetes: a clinicopathological update. Nat Rev Nephrol 17, 740–750 (2021). https://doi.org/10.1038/s41581-021-00462-y

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41581-021-00462-y

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing