Abstract
Biomarkers of kidney disease are substances that identify damage to the renal tract and may reflect renal function. They may be released from the kidney or result from a specific response to damage to the renal tract or changes in renal function.
Serum creatinine is currently the most widely used marker of kidney disease and renal function in clinical practice. However as it is affected by several non-renal factors it is unreliable and so better biomarkers are urgently required.
Several potentially relevant novel biomarkers of kidney disease have been discovered through omic technologies such as genomics, and proteomics. These novel biomarkers could be used to predict the risk of kidney disease, diagnose renal disease after an acute event, suggest the likely outcome (prognosis) in the absence of treatment, and predict the likely response to treatment. Keeping up-to-date with the rapid pace of the developments in this field is difficult. When attempting to do so it is difficult to know which of the myriad of available resources are reliable. To assist our colleagues we have therefore written this chapter which includes tables containing reliable, up-to-date resources. The experts who assisted with the compilation of these tables of resources are acknowledged.
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References
Anon. The global issue of kidney disease. Lancet. 2013;382(9887):101.
Atkinson AJ, Colburn WA, DeGruttola VG, DeMets DL, Downing GJ, Hoth DF, Oates JA, Peck CC, Schooley RT, Spilker BA, Woodcock J, Zeger SL, NCI-FDA Biomarkers Definitions Working Group. Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharm Ther. 2001;69:89–95.
Brown MA, Collett GK, Josland EA, Foote C, Li Q, Brennan FP. CKD in elderly patients managed without dialysis: survival, symptoms, and quality of life. Clin J Am Soc Nephrol. 2015;10(2):260–8.
Findlay M, Donaldson K, Robertson S, Almond A, Flynn R, Isles C. Chronic kidney disease rather than illness severity predicts medium- to long-term mortality and renal outcome after acute kidney injury. Nephrol Dial Transplant. 2015;30(4):594–8.
Griva K, Goh CS, Kang WCA, Yu ZL, Chan MC, Wu SY, Krishnasamy T, Foo M. Quality of life and emotional distress in patients and burden in caregivers: a comparison between assisted peritoneal dialysis and self-care peritoneal dialysis. Qual Life Res. 2016;25(2):373–84.
Jha V, Garcia-Garcia G, Iseki K, Li Z, Naicker S, Plattner B, Saran R, Wang AYM, Yang C-W. Chronic kidney disease: global dimension and perspectives. Lancet. 2013;382(9888):260–72.
Mills KT, Xu Y, Zhang W, Bundy JD, Chen C-S, Kelly TN, Chen J, He J. A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010. Kidney Int. 2015;88(5):950–7.
Moreira JM, Bouissou Morais Soares CM, Teixeira AL, Simoes e Silva AC, Kummer AM. Anxiety, depression, resilience and quality of life in children and adolescents with pre-dialysis chronic kidney disease. Pediatr Nephrol. 2015;30(12):2153–62.
Panocchia N, Tazza L, Di SE, Liberatori M, Vulpio C, Giungi S, Lucani G, Antocicco M, Bossola M. Mortality in hospitalized chronic kidney disease patients starting unplanned urgent haemodialysis. Nephrology. 2016;21(1):62–7.
Weaver VM, Fadrowski JJ, Jaar BG. Global dimensions of chronic kidney disease of unknown etiology (CKDu): a modern era environmental and/or occupational nephropathy? BMC Nephrol. 2015;16(1):1–8.
Acknowledgment
We would like to thank the following authors for contributing to the development of this resource.
Anderson K, Avramovski P, Bashford G, Čabarkapa V, Carnero A, Clarke S, Çuhadar S, De Rossi A, Diakos C, Gad M, Guedes-Marques M, Jabor A, Kobayashi T, Mangoni A, Nistal JF, Noh D-Y, Schraml PH, Simeoni M, Stahl RAK, Staikou C, Takenaka S, Tomai F, Wonshik H, Yi L
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Rajendram, R., Patel, V.B., Preedy, V.R. (2016). Recommended Resources on Biomarkers in Kidney Disease. In: Patel, V., Preedy, V. (eds) Biomarkers in Kidney Disease. Biomarkers in Disease: Methods, Discoveries and Applications. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7699-9_53
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DOI: https://doi.org/10.1007/978-94-007-7699-9_53
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