The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Diabetic nephropathy – is this an immune disorder?
Abstract
Chronic diabetes is associated with metabolic and haemodynamic stresses which can facilitate modifications to DNA, proteins and lipids, induce cellular dysfunction and damage, and stimulate inflammatory and fibrotic responses which lead to various types of renal injury. Approximately 30–40% of patients with diabetes develop nephropathy and this renal injury normally progresses in about a third of patients. Due to the growing incidence of diabetes, diabetic nephropathy is now the main cause of end-stage renal disease (ESRD) worldwide. Accumulating evidence from experimental and clinical studies has demonstrated that renal inflammation plays a critical role in determining whether renal injury progresses during diabetes. However, the immune response associated with diabetic nephropathy is considerably different to that seen in autoimmune kidney diseases or in acute kidney injury arising from episodes of ischaemia or infection. This review evaluates the role of the immune system in the development of diabetic nephropathy, including the specific contributions of leucocyte subsets (macrophages, neutrophils, mast cells, T and B lymphocytes), danger-associated molecular patterns (DAMPs), inflammasomes, immunoglobulin and complement. It also examines factors which may influence the development of the immune response, including genetic factors and exposure to other kidney insults. In addition, this review discusses therapies which are currently under development for targeting the immune system in diabetic nephropathy and indicates those which have proceeded into clinical trials.
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Cites
Pathologic Classification of Diabetic Nephropathy
Tervaert, T. W. C., Mooyaart, A. L., Amann, K., Cohen, A. H., Cook, H. T., Drachenberg, C. B., Ferrario, F., Fogo, A. B., Haas, M., de Heer, E., et al. (2010) · Journal of the American Society of Nephrology · doi:10.1681/asn.2010010010 · Cited by 1,690
Transcriptome Analysis of Human Diabetic Kidney Disease
Woroniecka, K. I., Park, A. S. D., Mohtat, D., Thomas, D. B., Pullman, J. M., & Susztak, K. (2011) · Diabetes · doi:10.2337/db10-1181 · Cited by 642
Wendt, T. M., Tanji, N., Guo, J., Kislinger, T. R., Qu, W., Lu, Y., Bucciarelli, L. G., Rong, L. L., Moser, B., Markowitz, G. S., et al. (2003) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)63909-0 · Cited by 600
The risk of acute renal failure in patients with chronic kidney disease
Hsu, C. Y., Ordoñez, J. D., Chertow, G. M., Fan, D., McCulloch, C. E., & Go, A. S. (2008) · Kidney International · doi:10.1038/ki.2008.107 · Cited by 551
Chow, F., Ozols, E., Nikolic-Paterson, D. J., Atkins, R. C., & Tesch, G. H. (2004) · Kidney International · doi:10.1111/j.1523-1755.2004.00367.x · Cited by 551
Self-citationTANJI, N., MARKOWITZ, G. S., FU, C., KISLINGER, T., TAGUCHI, A., PISCHETSRIEDER, M., STERN, D., SCHMIDT, A. M., & D'AGATI, V. D. (2000) · Journal of the American Society of Nephrology · doi:10.1681/asn.v1191656 · Cited by 487
Chow, F. Y., Nikolic-Paterson, D. J., Ozols, E., Atkins, R. C., Rollin, B. J., & Tesch, G. H. (2006) · Kidney International · doi:10.1038/sj.ki.5000014 · Cited by 440
Self-citationInflammation in Diabetic Nephropathy
Lim, A. K. H., & Tesch, G. H. (2012) · Mediators of Inflammation · doi:10.1155/2012/146154 · Cited by 437
Self-citationInnate immunity in diabetes and diabetic nephropathy
Wada, J., & Makino, H. (2016) · Nature Reviews Nephrology · doi:10.1038/nrneph.2015.175 · Cited by 427
Modular Activation of Nuclear Factor-κB Transcriptional Programs in Human Diabetic Nephropathy
Schmid, H., Boucherot, A., Yasuda, Y., Henger, A., Brunner, B., Eichinger, F., Nitsche, A., Kiss, E., Bleich, M., Gröne, H.-J., et al. (2006) · Diabetes · doi:10.2337/db06-0477 · Cited by 419
Cited by
Inflammation in obesity, diabetes, and related disorders
Rohm, T. V., Meier, D. T., Olefsky, J. M., & Donath, M. Y. (2022) · Immunity · doi:10.1016/j.immuni.2021.12.013 · Cited by 2,066
Macrophages: versatile players in renal inflammation and fibrosis
Tang, P. M.-K., Nikolic-Paterson, D. J., & Lan, H.-Y. (2019) · Nature Reviews Nephrology · doi:10.1038/s41581-019-0110-2 · Cited by 1,033
Targeting innate immune mediators in type 1 and type 2 diabetes
Donath, M. Y., Dinarello, C. A., & Mandrup-Poulsen, T. (2019) · Nature Reviews Immunology · doi:10.1038/s41577-019-0213-9 · Cited by 416
Bonnet, F., & Scheen, A. J. (2018) · Diabetes & Metabolism · doi:10.1016/j.diabet.2018.09.005 · Cited by 308
Immune responses in diabetic nephropathy: Pathogenic mechanisms and therapeutic target
Chen, J., Liu, Q., He, J., & Li, Y. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.958790 · Cited by 164
Metadata
- Authors
- Tesch, G. H.
- Venue
- Clinical Science
- Publisher
- Portland Press Ltd.
- Published
- 2017-07-31
- Volume
- 131
- Issue
- 16
- Pages
- 2183-2199
- ISSN
- 0143-5221 (ISSN-L)
- 1470-8736
- OpenAlex
- W2739698179
- Cited by
- 264
- References
- 111
- FWCI
- 15.44
- Type
- journal article
- Language
- en
- Open access
- closed
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